Version: 0.11.0

Configurations

This page covers the different ways of configuring your job to write/read Hudi tables. At a high level, you can control behaviour at few levels.

Spark Datasource Configs: These configs control the Hudi Spark Datasource, providing ability to define keys/partitioning, pick out the write operation, specify how to merge records or choosing query type to read.
Flink Sql Configs: These configs control the Hudi Flink SQL source/sink connectors, providing ability to define record keys, pick out the write operation, specify how to merge records, enable/disable asynchronous compaction or choosing query type to read.
Write Client Configs: Internally, the Hudi datasource uses a RDD based HoodieWriteClient API to actually perform writes to storage. These configs provide deep control over lower level aspects like file sizing, compression, parallelism, compaction, write schema, cleaning etc. Although Hudi provides sane defaults, from time-time these configs may need to be tweaked to optimize for specific workloads.
Metrics Configs: These set of configs are used to enable monitoring and reporting of keyHudi stats and metrics.
Record Payload Config: This is the lowest level of customization offered by Hudi. Record payloads define how to produce new values to upsert based on incoming new record and stored old record. Hudi provides default implementations such as OverwriteWithLatestAvroPayload which simply update table with the latest/last-written record. This can be overridden to a custom class extending HoodieRecordPayload class, on both datasource and WriteClient levels.
Kafka Connect Configs: These set of configs are used for Kafka Connect Sink Connector for writing Hudi Tables
Amazon Web Services Configs: Please fill in the description for Config Group Name: Amazon Web Services Configs

Externalized Config File

Instead of directly passing configuration settings to every Hudi job, you can also centrally set them in a configuration file hudi-defaults.conf. By default, Hudi would load the configuration file under /etc/hudi/conf directory. You can specify a different configuration directory location by setting the HUDI_CONF_DIR environment variable. This can be useful for uniformly enforcing repeated configs (like Hive sync or write/index tuning), across your entire data lake.

Spark Datasource Configs

These configs control the Hudi Spark Datasource, providing ability to define keys/partitioning, pick out the write operation, specify how to merge records or choosing query type to read.

Read Options

Options useful for reading tables via read.format.option(...)

Config Class: org.apache.hudi.DataSourceOptions.scala

hoodie.file.index.enable

Enables use of the spark file index implementation for Hudi, that speeds up listing of large tables.
Default Value: true (Optional)
Config Param: ENABLE_HOODIE_FILE_INDEX
Deprecated Version: 0.11.0

hoodie.datasource.read.paths

Comma separated list of file paths to read within a Hudi table.
Default Value: N/A (Required)
Config Param: READ_PATHS

hoodie.datasource.read.incr.filters

For use-cases like DeltaStreamer which reads from Hoodie Incremental table and applies opaque map functions, filters appearing late in the sequence of transformations cannot be automatically pushed down. This option allows setting filters directly on Hoodie Source.
Default Value: (Optional)
Config Param: PUSH_DOWN_INCR_FILTERS

hoodie.enable.data.skipping

Enables data-skipping allowing queries to leverage indexes to reduce the search space by skipping over files
Default Value: false (Optional)
Config Param: ENABLE_DATA_SKIPPING
Since Version: 0.10.0

as.of.instant

The query instant for time travel. Without specified this option, we query the latest snapshot.
Default Value: N/A (Required)
Config Param: TIME_TRAVEL_AS_OF_INSTANT

hoodie.datasource.read.schema.use.end.instanttime

Uses end instant schema when incrementally fetched data to. Default: users latest instant schema.
Default Value: false (Optional)
Config Param: INCREMENTAL_READ_SCHEMA_USE_END_INSTANTTIME

hoodie.datasource.read.incr.path.glob

For the use-cases like users only want to incremental pull from certain partitions instead of the full table. This option allows using glob pattern to directly filter on path.
Default Value: (Optional)
Config Param: INCR_PATH_GLOB

hoodie.datasource.read.end.instanttime

Instant time to limit incrementally fetched data to. New data written with an instant_time <= END_INSTANTTIME are fetched out.
Default Value: N/A (Required)
Config Param: END_INSTANTTIME

hoodie.datasource.write.precombine.field

Field used in preCombining before actual write. When two records have the same key value, we will pick the one with the largest value for the precombine field, determined by Object.compareTo(..)
Default Value: ts (Optional)
Config Param: READ_PRE_COMBINE_FIELD

hoodie.datasource.merge.type

For Snapshot query on merge on read table, control whether we invoke the record payload implementation to merge (payload_combine) or skip merging altogetherskip_merge
Default Value: payload_combine (Optional)
Config Param: REALTIME_MERGE

hoodie.datasource.read.extract.partition.values.from.path

When set to true, values for partition columns (partition values) will be extracted from physical partition path (default Spark behavior). When set to false partition values will be read from the data file (in Hudi partition columns are persisted by default). This config is a fallback allowing to preserve existing behavior, and should not be used otherwise.
Default Value: false (Optional)
Config Param: EXTRACT_PARTITION_VALUES_FROM_PARTITION_PATH
Since Version: 0.11.0

hoodie.datasource.read.begin.instanttime

Instant time to start incrementally pulling data from. The instanttime here need not necessarily correspond to an instant on the timeline. New data written with an instant_time > BEGIN_INSTANTTIME are fetched out. For e.g: ‘20170901080000’ will get all new data written after Sep 1, 2017 08:00AM.
Default Value: N/A (Required)
Config Param: BEGIN_INSTANTTIME

hoodie.datasource.read.incr.fallback.fulltablescan.enable

When doing an incremental query whether we should fall back to full table scans if file does not exist.
Default Value: false (Optional)
Config Param: INCREMENTAL_FALLBACK_TO_FULL_TABLE_SCAN_FOR_NON_EXISTING_FILES

hoodie.datasource.query.type

Whether data needs to be read, in incremental mode (new data since an instantTime) (or) Read Optimized mode (obtain latest view, based on base files) (or) Snapshot mode (obtain latest view, by merging base and (if any) log files)
Default Value: snapshot (Optional)
Config Param: QUERY_TYPE

Write Options

You can pass down any of the WriteClient level configs directly using options() or option(k,v) methods.

inputDF.write()
.format("org.apache.hudi")
.options(clientOpts) // any of the Hudi client opts can be passed in as well
.option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY(), "_row_key")
.option(DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY(), "partition")
.option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY(), "timestamp")
.option(HoodieWriteConfig.TABLE_NAME, tableName)
.mode(SaveMode.Append)
.save(basePath);

Options useful for writing tables via write.format.option(...)

Config Class: org.apache.hudi.DataSourceOptions.scala

hoodie.clustering.async.enabled

Enable running of clustering service, asynchronously as inserts happen on the table.
Default Value: false (Optional)
Config Param: ASYNC_CLUSTERING_ENABLE
Since Version: 0.7.0

hoodie.datasource.write.operation

Whether to do upsert, insert or bulkinsert for the write operation. Use bulkinsert to load new data into a table, and there on use upsert/insert. bulk insert uses a disk based write path to scale to load large inputs without need to cache it.
Default Value: upsert (Optional)
Config Param: OPERATION

hoodie.datasource.write.reconcile.schema

When a new batch of write has records with old schema, but latest table schema got evolved, this config will upgrade the records to leverage latest table schema(default values will be injected to missing fields). If not, the write batch would fail.
Default Value: false (Optional)
Config Param: RECONCILE_SCHEMA

hoodie.datasource.write.recordkey.field

Record key field. Value to be used as the recordKey component of HoodieKey. Actual value will be obtained by invoking .toString() on the field value. Nested fields can be specified using the dot notation eg: a.b.c
Default Value: uuid (Optional)
Config Param: RECORDKEY_FIELD

hoodie.datasource.hive_sync.skip_ro_suffix

Skip the _ro suffix for Read optimized table, when registering
Default Value: false (Optional)
Config Param: HIVE_SKIP_RO_SUFFIX_FOR_READ_OPTIMIZED_TABLE

hoodie.datasource.write.partitionpath.urlencode

Should we url encode the partition path value, before creating the folder structure.
Default Value: false (Optional)
Config Param: URL_ENCODE_PARTITIONING

hoodie.datasource.hive_sync.partition_extractor_class

Class which implements PartitionValueExtractor to extract the partition values, default 'SlashEncodedDayPartitionValueExtractor'.
Default Value: org.apache.hudi.hive.SlashEncodedDayPartitionValueExtractor (Optional)
Config Param: HIVE_PARTITION_EXTRACTOR_CLASS

hoodie.datasource.hive_sync.serde_properties

Serde properties to hive table.
Default Value: N/A (Required)
Config Param: HIVE_TABLE_SERDE_PROPERTIES

hoodie.datasource.hive_sync.sync_comment

Whether to sync the table column comments while syncing the table.
Default Value: false (Optional)
Config Param: HIVE_SYNC_COMMENT

hoodie.datasource.hive_sync.password

hive password to use
Default Value: hive (Optional)
Config Param: HIVE_PASS

hoodie.datasource.write.keygenerator.consistent.logical.timestamp.enabled

When set to true, consistent value will be generated for a logical timestamp type column, like timestamp-millis and timestamp-micros, irrespective of whether row-writer is enabled. Disabled by default so as not to break the pipeline that deploy either fully row-writer path or non row-writer path. For example, if it is kept disabled then record key of timestamp type with value 2016-12-29 09:54:00 will be written as timestamp 2016-12-29 09:54:00.0 in row-writer path, while it will be written as long value 1483023240000000 in non row-writer path. If enabled, then the timestamp value will be written in both the cases.
Default Value: false (Optional)
Config Param: KEYGENERATOR_CONSISTENT_LOGICAL_TIMESTAMP_ENABLED

hoodie.datasource.hive_sync.support_timestamp

‘INT64’ with original type TIMESTAMP_MICROS is converted to hive ‘timestamp’ type. Disabled by default for backward compatibility.
Default Value: false (Optional)
Config Param: HIVE_SUPPORT_TIMESTAMP_TYPE

hoodie.datasource.hive_sync.create_managed_table

Whether to sync the table as managed table.
Default Value: false (Optional)
Config Param: HIVE_CREATE_MANAGED_TABLE

hoodie.clustering.inline

Turn on inline clustering - clustering will be run after each write operation is complete
Default Value: false (Optional)
Config Param: INLINE_CLUSTERING_ENABLE
Since Version: 0.7.0

hoodie.datasource.compaction.async.enable

Controls whether async compaction should be turned on for MOR table writing.
Default Value: true (Optional)
Config Param: ASYNC_COMPACT_ENABLE

hoodie.datasource.meta.sync.enable

Enable Syncing the Hudi Table with an external meta store or data catalog.
Default Value: false (Optional)
Config Param: META_SYNC_ENABLED

hoodie.datasource.write.streaming.ignore.failed.batch

Config to indicate whether to ignore any non exception error (e.g. writestatus error) within a streaming microbatch
Default Value: true (Optional)
Config Param: STREAMING_IGNORE_FAILED_BATCH

hoodie.datasource.write.precombine.field

Field used in preCombining before actual write. When two records have the same key value, we will pick the one with the largest value for the precombine field, determined by Object.compareTo(..)
Default Value: ts (Optional)
Config Param: PRECOMBINE_FIELD

hoodie.datasource.hive_sync.username

hive user name to use
Default Value: hive (Optional)
Config Param: HIVE_USER

hoodie.datasource.write.partitionpath.field

Partition path field. Value to be used at the partitionPath component of HoodieKey. Actual value ontained by invoking .toString()
Default Value: N/A (Required)
Config Param: PARTITIONPATH_FIELD

hoodie.datasource.write.streaming.retry.count

Config to indicate how many times streaming job should retry for a failed micro batch.
Default Value: 3 (Optional)
Config Param: STREAMING_RETRY_CNT

hoodie.datasource.hive_sync.partition_fields

Field in the table to use for determining hive partition columns.
Default Value: (Optional)
Config Param: HIVE_PARTITION_FIELDS

hoodie.datasource.hive_sync.sync_as_datasource

Default Value: true (Optional)
Config Param: HIVE_SYNC_AS_DATA_SOURCE_TABLE

hoodie.sql.insert.mode

Insert mode when insert data to pk-table. The optional modes are: upsert, strict and non-strict.For upsert mode, insert statement do the upsert operation for the pk-table which will update the duplicate record.For strict mode, insert statement will keep the primary key uniqueness constraint which do not allow duplicate record.While for non-strict mode, hudi just do the insert operation for the pk-table.
Default Value: upsert (Optional)
Config Param: SQL_INSERT_MODE

hoodie.datasource.hive_sync.use_jdbc

Use JDBC when hive synchronization is enabled
Default Value: true (Optional)
Config Param: HIVE_USE_JDBC
Deprecated Version: 0.9.0

hoodie.meta.sync.client.tool.class

Sync tool class name used to sync to metastore. Defaults to Hive.
Default Value: org.apache.hudi.hive.HiveSyncTool (Optional)
Config Param: META_SYNC_CLIENT_TOOL_CLASS_NAME

hoodie.datasource.write.keygenerator.class

Key generator class, that implements org.apache.hudi.keygen.KeyGenerator
Default Value: org.apache.hudi.keygen.SimpleKeyGenerator (Optional)
Config Param: KEYGENERATOR_CLASS_NAME

hoodie.datasource.write.payload.class

Payload class used. Override this, if you like to roll your own merge logic, when upserting/inserting. This will render any value set for PRECOMBINE_FIELD_OPT_VAL in-effective
Default Value: org.apache.hudi.common.model.OverwriteWithLatestAvroPayload (Optional)
Config Param: PAYLOAD_CLASS_NAME

hoodie.datasource.hive_sync.table_properties

Additional properties to store with table.
Default Value: N/A (Required)
Config Param: HIVE_TABLE_PROPERTIES

hoodie.datasource.hive_sync.jdbcurl

Hive metastore url
Default Value: jdbc:hive2://localhost:10000 (Optional)
Config Param: HIVE_URL

hoodie.datasource.hive_sync.batch_num

The number of partitions one batch when synchronous partitions to hive.
Default Value: 1000 (Optional)
Config Param: HIVE_BATCH_SYNC_PARTITION_NUM

hoodie.datasource.hive_sync.assume_date_partitioning

Assume partitioning is yyyy/mm/dd
Default Value: false (Optional)
Config Param: HIVE_ASSUME_DATE_PARTITION

hoodie.datasource.hive_sync.bucket_sync

Whether sync hive metastore bucket specification when using bucket index.The specification is 'CLUSTERED BY (trace_id) SORTED BY (trace_id ASC) INTO 65536 BUCKETS'
Default Value: false (Optional)
Config Param: HIVE_SYNC_BUCKET_SYNC

hoodie.datasource.hive_sync.auto_create_database

Auto create hive database if does not exists
Default Value: true (Optional)
Config Param: HIVE_AUTO_CREATE_DATABASE

hoodie.datasource.hive_sync.database

The name of the destination database that we should sync the hudi table to.
Default Value: default (Optional)
Config Param: HIVE_DATABASE

hoodie.datasource.write.streaming.retry.interval.ms

Config to indicate how long (by millisecond) before a retry should issued for failed microbatch
Default Value: 2000 (Optional)
Config Param: STREAMING_RETRY_INTERVAL_MS

hoodie.sql.bulk.insert.enable

When set to true, the sql insert statement will use bulk insert.
Default Value: false (Optional)
Config Param: SQL_ENABLE_BULK_INSERT

hoodie.datasource.write.commitmeta.key.prefix

Option keys beginning with this prefix, are automatically added to the commit/deltacommit metadata. This is useful to store checkpointing information, in a consistent way with the hudi timeline
Default Value: _ (Optional)
Config Param: COMMIT_METADATA_KEYPREFIX

hoodie.datasource.write.drop.partition.columns

When set to true, will not write the partition columns into hudi. By default, false.
Default Value: false (Optional)
Config Param: DROP_PARTITION_COLUMNS

hoodie.datasource.hive_sync.enable

When set to true, register/sync the table to Apache Hive metastore.
Default Value: false (Optional)
Config Param: HIVE_SYNC_ENABLED

hoodie.datasource.hive_sync.table

The name of the destination table that we should sync the hudi table to.
Default Value: unknown (Optional)
Config Param: HIVE_TABLE

hoodie.datasource.hive_sync.ignore_exceptions

Ignore exceptions when syncing with Hive.
Default Value: false (Optional)
Config Param: HIVE_IGNORE_EXCEPTIONS

hoodie.datasource.hive_sync.use_pre_apache_input_format

Flag to choose InputFormat under com.uber.hoodie package instead of org.apache.hudi package. Use this when you are in the process of migrating from com.uber.hoodie to org.apache.hudi. Stop using this after you migrated the table definition to org.apache.hudi input format
Default Value: false (Optional)
Config Param: HIVE_USE_PRE_APACHE_INPUT_FORMAT

hoodie.datasource.write.table.type

The table type for the underlying data, for this write. This can’t change between writes.
Default Value: COPY_ON_WRITE (Optional)
Config Param: TABLE_TYPE

hoodie.datasource.write.row.writer.enable

When set to true, will perform write operations directly using the spark native Row representation, avoiding any additional conversion costs.
Default Value: true (Optional)
Config Param: ENABLE_ROW_WRITER

hoodie.datasource.write.hive_style_partitioning

Flag to indicate whether to use Hive style partitioning. If set true, the names of partition folders follow <partition_column_name>=<partition_value> format. By default false (the names of partition folders are only partition values)
Default Value: false (Optional)
Config Param: HIVE_STYLE_PARTITIONING

hoodie.datasource.meta_sync.condition.sync

If true, only sync on conditions like schema change or partition change.
Default Value: false (Optional)
Config Param: HIVE_CONDITIONAL_SYNC

hoodie.datasource.hive_sync.mode

Mode to choose for Hive ops. Valid values are hms, jdbc and hiveql.
Default Value: N/A (Required)
Config Param: HIVE_SYNC_MODE

hoodie.datasource.write.table.name

Table name for the datasource write. Also used to register the table into meta stores.
Default Value: N/A (Required)
Config Param: TABLE_NAME

hoodie.datasource.hive_sync.base_file_format

Base file format for the sync.
Default Value: PARQUET (Optional)
Config Param: HIVE_BASE_FILE_FORMAT

hoodie.deltastreamer.source.kafka.value.deserializer.class

This class is used by kafka client to deserialize the records
Default Value: io.confluent.kafka.serializers.KafkaAvroDeserializer (Optional)
Config Param: KAFKA_AVRO_VALUE_DESERIALIZER_CLASS
Since Version: 0.9.0

hoodie.datasource.hive_sync.metastore.uris

Hive metastore url
Default Value: thrift://localhost:9083 (Optional)
Config Param: METASTORE_URIS

hoodie.datasource.write.insert.drop.duplicates

If set to true, filters out all duplicate records from incoming dataframe, during insert operations.
Default Value: false (Optional)
Config Param: INSERT_DROP_DUPS

hoodie.datasource.write.partitions.to.delete

Comma separated list of partitions to delete
Default Value: N/A (Required)
Config Param: PARTITIONS_TO_DELETE

PreCommit Validator Configurations

The following set of configurations help validate new data before commits.

Config Class: org.apache.hudi.config.HoodiePreCommitValidatorConfig

hoodie.precommit.validators.single.value.sql.queries

Spark SQL queries to run on table before committing new data to validate state after commit.Multiple queries separated by ';' delimiter are supported.Expected result is included as part of query separated by '#'. Example query: 'query1#result1:query2#result2'Note <TABLE_NAME> variable is expected to be present in query.
Default Value: (Optional)
Config Param: SINGLE_VALUE_SQL_QUERIES

hoodie.precommit.validators.equality.sql.queries

Spark SQL queries to run on table before committing new data to validate state before and after commit. Multiple queries separated by ';' delimiter are supported. Example: "select count(*) from <TABLE_NAME> Note <TABLE_NAME> is replaced by table state before and after commit.
Default Value: (Optional)
Config Param: EQUALITY_SQL_QUERIES

hoodie.precommit.validators

Comma separated list of class names that can be invoked to validate commit
Default Value: (Optional)
Config Param: VALIDATOR_CLASS_NAMES

hoodie.precommit.validators.inequality.sql.queries

Spark SQL queries to run on table before committing new data to validate state before and after commit.Multiple queries separated by ';' delimiter are supported.Example query: 'select count(*) from <TABLE_NAME> where col=null'Note <TABLE_NAME> variable is expected to be present in query.
Default Value: (Optional)
Config Param: INEQUALITY_SQL_QUERIES

Flink Sql Configs

These configs control the Hudi Flink SQL source/sink connectors, providing ability to define record keys, pick out the write operation, specify how to merge records, enable/disable asynchronous compaction or choosing query type to read.

Flink Options

Flink jobs using the SQL can be configured through the options in WITH clause. The actual datasource level configs are listed below.

Config Class: org.apache.hudi.configuration.FlinkOptions

read.streaming.enabled

Whether to read as streaming source, default false
Default Value: false (Optional)
Config Param: READ_AS_STREAMING

hoodie.datasource.write.keygenerator.type

Key generator type, that implements will extract the key out of incoming record. Note This is being actively worked on. Please use hoodie.datasource.write.keygenerator.class instead.
Default Value: SIMPLE (Optional)
Config Param: KEYGEN_TYPE

compaction.trigger.strategy

Strategy to trigger compaction, options are 'num_commits': trigger compaction when reach N delta commits; 'time_elapsed': trigger compaction when time elapsed > N seconds since last compaction; 'num_and_time': trigger compaction when both NUM_COMMITS and TIME_ELAPSED are satisfied; 'num_or_time': trigger compaction when NUM_COMMITS or TIME_ELAPSED is satisfied. Default is 'num_commits'
Default Value: num_commits (Optional)
Config Param: COMPACTION_TRIGGER_STRATEGY

index.state.ttl

Index state ttl in days, default stores the index permanently
Default Value: 0.0 (Optional)
Config Param: INDEX_STATE_TTL

compaction.max_memory

Max memory in MB for compaction spillable map, default 100MB
Default Value: 100 (Optional)
Config Param: COMPACTION_MAX_MEMORY

hive_sync.support_timestamp

INT64 with original type TIMESTAMP_MICROS is converted to hive timestamp type. Disabled by default for backward compatibility.
Default Value: true (Optional)
Config Param: HIVE_SYNC_SUPPORT_TIMESTAMP

hive_sync.serde_properties

Serde properties to hive table, the data format is k1=v1 k2=v2
Default Value: N/A (Required)
Config Param: HIVE_SYNC_TABLE_SERDE_PROPERTIES

hive_sync.skip_ro_suffix

Skip the _ro suffix for Read optimized table when registering, default false
Default Value: false (Optional)
Config Param: HIVE_SYNC_SKIP_RO_SUFFIX

metadata.compaction.delta_commits

Max delta commits for metadata table to trigger compaction, default 10
Default Value: 10 (Optional)
Config Param: METADATA_COMPACTION_DELTA_COMMITS

hive_sync.assume_date_partitioning

Assume partitioning is yyyy/mm/dd, default false
Default Value: false (Optional)
Config Param: HIVE_SYNC_ASSUME_DATE_PARTITION

write.parquet.block.size

Parquet RowGroup size. It's recommended to make this large enough that scan costs can be amortized by packing enough column values into a single row group.
Default Value: 120 (Optional)
Config Param: WRITE_PARQUET_BLOCK_SIZE

hive_sync.table

Table name for hive sync, default 'unknown'
Default Value: unknown (Optional)
Config Param: HIVE_SYNC_TABLE

write.payload.class

Payload class used. Override this, if you like to roll your own merge logic, when upserting/inserting. This will render any value set for the option in-effective
Default Value: org.apache.hudi.common.model.OverwriteWithLatestAvroPayload (Optional)
Config Param: PAYLOAD_CLASS_NAME

compaction.tasks

Parallelism of tasks that do actual compaction, default is 4
Default Value: 4 (Optional)
Config Param: COMPACTION_TASKS

hoodie.datasource.write.hive_style_partitioning

Whether to use Hive style partitioning. If set true, the names of partition folders follow <partition_column_name>=<partition_value> format. By default false (the names of partition folders are only partition values)
Default Value: false (Optional)
Config Param: HIVE_STYLE_PARTITIONING

table.type

Type of table to write. COPY_ON_WRITE (or) MERGE_ON_READ
Default Value: COPY_ON_WRITE (Optional)
Config Param: TABLE_TYPE

hive_sync.auto_create_db

Auto create hive database if it does not exists, default true
Default Value: true (Optional)
Config Param: HIVE_SYNC_AUTO_CREATE_DB

compaction.timeout.seconds

Max timeout time in seconds for online compaction to rollback, default 20 minutes
Default Value: 1200 (Optional)
Config Param: COMPACTION_TIMEOUT_SECONDS

hive_sync.username

Username for hive sync, default 'hive'
Default Value: hive (Optional)
Config Param: HIVE_SYNC_USERNAME

write.sort.memory

Sort memory in MB, default 128MB
Default Value: 128 (Optional)
Config Param: WRITE_SORT_MEMORY

hive_sync.enable

Asynchronously sync Hive meta to HMS, default false
Default Value: false (Optional)
Config Param: HIVE_SYNC_ENABLED

changelog.enabled

Whether to keep all the intermediate changes, we try to keep all the changes of a record when enabled: 1). The sink accept the UPDATE_BEFORE message; 2). The source try to emit every changes of a record. The semantics is best effort because the compaction job would finally merge all changes of a record into one. default false to have UPSERT semantics
Default Value: false (Optional)
Config Param: CHANGELOG_ENABLED

read.streaming.check-interval

Check interval for streaming read of SECOND, default 1 minute
Default Value: 60 (Optional)
Config Param: READ_STREAMING_CHECK_INTERVAL

write.bulk_insert.shuffle_input

Whether to shuffle the inputs by specific fields for bulk insert tasks, default true
Default Value: true (Optional)
Config Param: WRITE_BULK_INSERT_SHUFFLE_INPUT

hoodie.datasource.merge.type

For Snapshot query on merge on read table. Use this key to define how the payloads are merged, in 1) skip_merge: read the base file records plus the log file records; 2) payload_combine: read the base file records first, for each record in base file, checks whether the key is in the log file records(combines the two records with same key for base and log file records), then read the left log file records
Default Value: payload_combine (Optional)
Config Param: MERGE_TYPE

write.retry.times

Flag to indicate how many times streaming job should retry for a failed checkpoint batch. By default 3
Default Value: 3 (Optional)
Config Param: RETRY_TIMES

metadata.enabled

Enable the internal metadata table which serves table metadata like level file listings, default false
Default Value: false (Optional)
Config Param: METADATA_ENABLED

read.tasks

Parallelism of tasks that do actual read, default is 4
Default Value: 4 (Optional)
Config Param: READ_TASKS

write.parquet.max.file.size

Target size for parquet files produced by Hudi write phases. For DFS, this needs to be aligned with the underlying filesystem block size for optimal performance.
Default Value: 120 (Optional)
Config Param: WRITE_PARQUET_MAX_FILE_SIZE

hoodie.bucket.index.hash.field

Index key field. Value to be used as hashing to find the bucket ID. Should be a subset of or equal to the recordKey fields. Actual value will be obtained by invoking .toString() on the field value. Nested fields can be specified using the dot notation eg: a.b.c
Default Value: (Optional)
Config Param: INDEX_KEY_FIELD

hoodie.bucket.index.num.buckets

Hudi bucket number per partition. Only affected if using Hudi bucket index.
Default Value: 4 (Optional)
Config Param: BUCKET_INDEX_NUM_BUCKETS

read.end-commit

End commit instant for reading, the commit time format should be 'yyyyMMddHHmmss'
Default Value: N/A (Required)
Config Param: READ_END_COMMIT

write.log.max.size

Maximum size allowed in MB for a log file before it is rolled over to the next version, default 1GB
Default Value: 1024 (Optional)
Config Param: WRITE_LOG_MAX_SIZE

hive_sync.file_format

File format for hive sync, default 'PARQUET'
Default Value: PARQUET (Optional)
Config Param: HIVE_SYNC_FILE_FORMAT

hive_sync.mode

Mode to choose for Hive ops. Valid values are hms, jdbc and hiveql, default 'jdbc'
Default Value: jdbc (Optional)
Config Param: HIVE_SYNC_MODE

write.retry.interval.ms

Flag to indicate how long (by millisecond) before a retry should issued for failed checkpoint batch. By default 2000 and it will be doubled by every retry
Default Value: 2000 (Optional)
Config Param: RETRY_INTERVAL_MS

write.partition.format

Partition path format, only valid when 'write.datetime.partitioning' is true, default is:

'yyyyMMddHH' for timestamp(3) WITHOUT TIME ZONE, LONG, FLOAT, DOUBLE, DECIMAL;
'yyyyMMdd' for DATE and INT.

Default Value: N/A (Required)
Config Param: PARTITION_FORMAT

hive_sync.db

Database name for hive sync, default 'default'
Default Value: default (Optional)
Config Param: HIVE_SYNC_DB

index.type

Index type of Flink write job, default is using state backed index.
Default Value: FLINK_STATE (Optional)
Config Param: INDEX_TYPE

hive_sync.password

Password for hive sync, default 'hive'
Default Value: hive (Optional)
Config Param: HIVE_SYNC_PASSWORD

hive_sync.use_jdbc

Use JDBC when hive synchronization is enabled, default true
Default Value: true (Optional)
Config Param: HIVE_SYNC_USE_JDBC

compaction.schedule.enabled

Schedule the compaction plan, enabled by default for MOR
Default Value: true (Optional)
Config Param: COMPACTION_SCHEDULE_ENABLED

hive_sync.jdbc_url

Jdbc URL for hive sync, default 'jdbc:hive2://localhost:10000'
Default Value: jdbc:hive2://localhost:10000 (Optional)
Config Param: HIVE_SYNC_JDBC_URL

hive_sync.partition_extractor_class

Tool to extract the partition value from HDFS path, default 'SlashEncodedDayPartitionValueExtractor'
Default Value: org.apache.hudi.hive.SlashEncodedDayPartitionValueExtractor (Optional)
Config Param: HIVE_SYNC_PARTITION_EXTRACTOR_CLASS_NAME

read.start-commit

Start commit instant for reading, the commit time format should be 'yyyyMMddHHmmss', by default reading from the latest instant for streaming read
Default Value: N/A (Required)
Config Param: READ_START_COMMIT

write.precombine

Flag to indicate whether to drop duplicates before insert/upsert. By default these cases will accept duplicates, to gain extra performance:

insert operation;
upsert for MOR table, the MOR table deduplicate on reading

Default Value: false (Optional)
Config Param: PRE_COMBINE

write.batch.size

Batch buffer size in MB to flush data into the underneath filesystem, default 256MB
Default Value: 256.0 (Optional)
Config Param: WRITE_BATCH_SIZE

archive.min_commits

Min number of commits to keep before archiving older commits into a sequential log, default 40
Default Value: 40 (Optional)
Config Param: ARCHIVE_MIN_COMMITS

hoodie.datasource.write.keygenerator.class

Key generator class, that implements will extract the key out of incoming record
Default Value: (Optional)
Config Param: KEYGEN_CLASS_NAME

index.global.enabled

Whether to update index for the old partition path if same key record with different partition path came in, default true
Default Value: true (Optional)
Config Param: INDEX_GLOBAL_ENABLED

index.partition.regex

Whether to load partitions in state if partition path matching， default *
Default Value: .* (Optional)
Config Param: INDEX_PARTITION_REGEX

hoodie.table.name

Table name to register to Hive metastore
Default Value: N/A (Required)
Config Param: TABLE_NAME

path

Base path for the target hoodie table. The path would be created if it does not exist, otherwise a Hoodie table expects to be initialized successfully
Default Value: N/A (Required)
Config Param: PATH

index.bootstrap.enabled

Whether to bootstrap the index state from existing hoodie table, default false
Default Value: false (Optional)
Config Param: INDEX_BOOTSTRAP_ENABLED

read.streaming.skip_compaction

Whether to skip compaction instants for streaming read, there are two cases that this option can be used to avoid reading duplicates:

you are definitely sure that the consumer reads faster than any compaction instants, usually with delta time compaction strategy that is long enough, for e.g, one week;
changelog mode is enabled, this option is a solution to keep data integrity

Default Value: false (Optional)
Config Param: READ_STREAMING_SKIP_COMPACT

hoodie.datasource.write.partitionpath.urlencode

Whether to encode the partition path url, default false
Default Value: false (Optional)
Config Param: URL_ENCODE_PARTITIONING

compaction.async.enabled

Async Compaction, enabled by default for MOR
Default Value: true (Optional)
Config Param: COMPACTION_ASYNC_ENABLED

hive_sync.ignore_exceptions

Ignore exceptions during hive synchronization, default false
Default Value: false (Optional)
Config Param: HIVE_SYNC_IGNORE_EXCEPTIONS

hive_sync.table_properties

Additional properties to store with table, the data format is k1=v1 k2=v2
Default Value: N/A (Required)
Config Param: HIVE_SYNC_TABLE_PROPERTIES

write.ignore.failed

Flag to indicate whether to ignore any non exception error (e.g. writestatus error). within a checkpoint batch. By default true (in favor of streaming progressing over data integrity)
Default Value: true (Optional)
Config Param: IGNORE_FAILED

write.commit.ack.timeout

Timeout limit for a writer task after it finishes a checkpoint and waits for the instant commit success, only for internal use
Default Value: -1 (Optional)
Config Param: WRITE_COMMIT_ACK_TIMEOUT

write.operation

The write operation, that this write should do
Default Value: upsert (Optional)
Config Param: OPERATION

hoodie.datasource.write.partitionpath.field

Partition path field. Value to be used at the partitionPath component of HoodieKey. Actual value obtained by invoking .toString(), default ''
Default Value: (Optional)
Config Param: PARTITION_PATH_FIELD

write.bucket_assign.tasks

Parallelism of tasks that do bucket assign, default is the parallelism of the execution environment
Default Value: N/A (Required)
Config Param: BUCKET_ASSIGN_TASKS

source.avro-schema.path

Source avro schema file path, the parsed schema is used for deserialization
Default Value: N/A (Required)
Config Param: SOURCE_AVRO_SCHEMA_PATH

compaction.delta_commits

Max delta commits needed to trigger compaction, default 5 commits
Default Value: 5 (Optional)
Config Param: COMPACTION_DELTA_COMMITS

write.insert.cluster

Whether to merge small files for insert mode, if true, the write throughput will decrease because the read/write of existing small file, only valid for COW table, default false
Default Value: false (Optional)
Config Param: INSERT_CLUSTER

partition.default_name

The default partition name in case the dynamic partition column value is null/empty string
Default Value: default (Optional)
Config Param: PARTITION_DEFAULT_NAME

write.bulk_insert.sort_input

Whether to sort the inputs by specific fields for bulk insert tasks, default true
Default Value: true (Optional)
Config Param: WRITE_BULK_INSERT_SORT_INPUT

source.avro-schema

Source avro schema string, the parsed schema is used for deserialization
Default Value: N/A (Required)
Config Param: SOURCE_AVRO_SCHEMA

compaction.target_io

Target IO in MB for per compaction (both read and write), default 500 GB
Default Value: 512000 (Optional)
Config Param: COMPACTION_TARGET_IO

write.rate.limit

Write record rate limit per second to prevent traffic jitter and improve stability, default 0 (no limit)
Default Value: 0 (Optional)
Config Param: WRITE_RATE_LIMIT

write.log_block.size

Max log block size in MB for log file, default 128MB
Default Value: 128 (Optional)
Config Param: WRITE_LOG_BLOCK_SIZE

write.tasks

Parallelism of tasks that do actual write, default is 4
Default Value: 4 (Optional)
Config Param: WRITE_TASKS

clean.async.enabled

Whether to cleanup the old commits immediately on new commits, enabled by default
Default Value: true (Optional)
Config Param: CLEAN_ASYNC_ENABLED

clean.retain_commits

Number of commits to retain. So data will be retained for num_of_commits * time_between_commits (scheduled). This also directly translates into how much you can incrementally pull on this table, default 30
Default Value: 30 (Optional)
Config Param: CLEAN_RETAIN_COMMITS

read.utc-timezone

Use UTC timezone or local timezone to the conversion between epoch time and LocalDateTime. Hive 0.x/1.x/2.x use local timezone. But Hive 3.x use UTC timezone, by default true
Default Value: true (Optional)
Config Param: UTC_TIMEZONE

archive.max_commits

Max number of commits to keep before archiving older commits into a sequential log, default 50
Default Value: 50 (Optional)
Config Param: ARCHIVE_MAX_COMMITS

hoodie.datasource.query.type

Decides how data files need to be read, in 1) Snapshot mode (obtain latest view, based on row & columnar data); 2) incremental mode (new data since an instantTime); 3) Read Optimized mode (obtain latest view, based on columnar data) .Default: snapshot
Default Value: snapshot (Optional)
Config Param: QUERY_TYPE

write.precombine.field

Field used in preCombining before actual write. When two records have the same key value, we will pick the one with the largest value for the precombine field, determined by Object.compareTo(..)
Default Value: ts (Optional)
Config Param: PRECOMBINE_FIELD

write.index_bootstrap.tasks

Parallelism of tasks that do index bootstrap, default is the parallelism of the execution environment
Default Value: N/A (Required)
Config Param: INDEX_BOOTSTRAP_TASKS

write.task.max.size

Maximum memory in MB for a write task, when the threshold hits, it flushes the max size data bucket to avoid OOM, default 1GB
Default Value: 1024.0 (Optional)
Config Param: WRITE_TASK_MAX_SIZE

hoodie.datasource.write.recordkey.field

Record key field. Value to be used as the recordKey component of HoodieKey. Actual value will be obtained by invoking .toString() on the field value. Nested fields can be specified using the dot notation eg: a.b.c
Default Value: uuid (Optional)
Config Param: RECORD_KEY_FIELD

write.parquet.page.size

Parquet page size. Page is the unit of read within a parquet file. Within a block, pages are compressed separately.
Default Value: 1 (Optional)
Config Param: WRITE_PARQUET_PAGE_SIZE

compaction.delta_seconds

Max delta seconds time needed to trigger compaction, default 1 hour
Default Value: 3600 (Optional)
Config Param: COMPACTION_DELTA_SECONDS

hive_sync.metastore.uris

Metastore uris for hive sync, default ''
Default Value: (Optional)
Config Param: HIVE_SYNC_METASTORE_URIS

hive_sync.partition_fields

Partition fields for hive sync, default ''
Default Value: (Optional)
Config Param: HIVE_SYNC_PARTITION_FIELDS

write.merge.max_memory

Max memory in MB for merge, default 100MB
Default Value: 100 (Optional)
Config Param: WRITE_MERGE_MAX_MEMORY

Write Client Configs

Internally, the Hudi datasource uses a RDD based HoodieWriteClient API to actually perform writes to storage. These configs provide deep control over lower level aspects like file sizing, compression, parallelism, compaction, write schema, cleaning etc. Although Hudi provides sane defaults, from time-time these configs may need to be tweaked to optimize for specific workloads.

Layout Configs

Configurations that control storage layout and data distribution, which defines how the files are organized within a table.

Config Class: org.apache.hudi.config.HoodieLayoutConfig

hoodie.storage.layout.type

Type of storage layout. Possible options are [DEFAULT | BUCKET]
Default Value: DEFAULT (Optional)
Config Param: LAYOUT_TYPE

hoodie.storage.layout.partitioner.class

Partitioner class, it is used to distribute data in a specific way.
Default Value: N/A (Required)
Config Param: LAYOUT_PARTITIONER_CLASS_NAME

Write commit callback configs

Controls callback behavior into HTTP endpoints, to push notifications on commits on hudi tables.

Config Class: org.apache.hudi.config.HoodieWriteCommitCallbackConfig

hoodie.write.commit.callback.on

Turn commit callback on/off. off by default.
Default Value: false (Optional)
Config Param: TURN_CALLBACK_ON
Since Version: 0.6.0

hoodie.write.commit.callback.http.url

Callback host to be sent along with callback messages
Default Value: N/A (Required)
Config Param: CALLBACK_HTTP_URL
Since Version: 0.6.0

hoodie.write.commit.callback.http.timeout.seconds

Callback timeout in seconds. 3 by default
Default Value: 3 (Optional)
Config Param: CALLBACK_HTTP_TIMEOUT_IN_SECONDS
Since Version: 0.6.0

hoodie.write.commit.callback.class

Full path of callback class and must be a subclass of HoodieWriteCommitCallback class, org.apache.hudi.callback.impl.HoodieWriteCommitHttpCallback by default
Default Value: org.apache.hudi.callback.impl.HoodieWriteCommitHttpCallback (Optional)
Config Param: CALLBACK_CLASS_NAME
Since Version: 0.6.0

hoodie.write.commit.callback.http.api.key

Http callback API key. hudi_write_commit_http_callback by default
Default Value: hudi_write_commit_http_callback (Optional)
Config Param: CALLBACK_HTTP_API_KEY_VALUE
Since Version: 0.6.0

Table Configurations

Configurations that persist across writes and read on a Hudi table like base, log file formats, table name, creation schema, table version layouts. Configurations are loaded from hoodie.properties, these properties are usually set during initializing a path as hoodie base path and rarely changes during the lifetime of the table. Writers/Queries' configurations are validated against these each time for compatibility.

Config Class: org.apache.hudi.common.table.HoodieTableConfig

hoodie.table.precombine.field

Field used in preCombining before actual write. By default, when two records have the same key value, the largest value for the precombine field determined by Object.compareTo(..), is picked.
Default Value: N/A (Required)
Config Param: PRECOMBINE_FIELD

hoodie.archivelog.folder

path under the meta folder, to store archived timeline instants at.
Default Value: archived (Optional)
Config Param: ARCHIVELOG_FOLDER

hoodie.table.type

The table type for the underlying data, for this write. This can’t change between writes.
Default Value: COPY_ON_WRITE (Optional)
Config Param: TYPE

hoodie.table.timeline.timezone

User can set hoodie commit timeline timezone, such as utc, local and so on. local is default
Default Value: LOCAL (Optional)
Config Param: TIMELINE_TIMEZONE

hoodie.partition.metafile.use.base.format

If true, partition metafiles are saved in the same format as base-files for this dataset (e.g. Parquet / ORC). If false (default) partition metafiles are saved as properties files.
Default Value: false (Optional)
Config Param: PARTITION_METAFILE_USE_BASE_FORMAT

hoodie.table.checksum

Table checksum is used to guard against partial writes in HDFS. It is added as the last entry in hoodie.properties and then used to validate while reading table config.
Default Value: N/A (Required)
Config Param: TABLE_CHECKSUM
Since Version: 0.11.0

hoodie.table.create.schema

Schema used when creating the table, for the first time.
Default Value: N/A (Required)
Config Param: CREATE_SCHEMA

hoodie.table.recordkey.fields

Columns used to uniquely identify the table. Concatenated values of these fields are used as the record key component of HoodieKey.
Default Value: N/A (Required)
Config Param: RECORDKEY_FIELDS

hoodie.table.log.file.format

Log format used for the delta logs.
Default Value: HOODIE_LOG (Optional)
Config Param: LOG_FILE_FORMAT

hoodie.bootstrap.index.enable

Whether or not, this is a bootstrapped table, with bootstrap base data and an mapping index defined, default true.
Default Value: true (Optional)
Config Param: BOOTSTRAP_INDEX_ENABLE

hoodie.table.metadata.partitions

Comma-separated list of metadata partitions that have been completely built and in-sync with data table. These partitions are ready for use by the readers
Default Value: N/A (Required)
Config Param: TABLE_METADATA_PARTITIONS
Since Version: 0.11.0

hoodie.table.metadata.partitions.inflight

Comma-separated list of metadata partitions whose building is in progress. These partitions are not yet ready for use by the readers.
Default Value: N/A (Required)
Config Param: TABLE_METADATA_PARTITIONS_INFLIGHT
Since Version: 0.11.0

hoodie.table.partition.fields

Fields used to partition the table. Concatenated values of these fields are used as the partition path, by invoking toString()
Default Value: N/A (Required)
Config Param: PARTITION_FIELDS

hoodie.populate.meta.fields

When enabled, populates all meta fields. When disabled, no meta fields are populated and incremental queries will not be functional. This is only meant to be used for append only/immutable data for batch processing
Default Value: true (Optional)
Config Param: POPULATE_META_FIELDS

hoodie.compaction.payload.class

Payload class to use for performing compactions, i.e merge delta logs with current base file and then produce a new base file.
Default Value: org.apache.hudi.common.model.OverwriteWithLatestAvroPayload (Optional)
Config Param: PAYLOAD_CLASS_NAME

hoodie.bootstrap.index.class

Implementation to use, for mapping base files to bootstrap base file, that contain actual data.
Default Value: org.apache.hudi.common.bootstrap.index.HFileBootstrapIndex (Optional)
Config Param: BOOTSTRAP_INDEX_CLASS_NAME

hoodie.datasource.write.partitionpath.urlencode

Should we url encode the partition path value, before creating the folder structure.
Default Value: false (Optional)
Config Param: URL_ENCODE_PARTITIONING

hoodie.datasource.write.hive_style_partitioning

Flag to indicate whether to use Hive style partitioning. If set true, the names of partition folders follow <partition_column_name>=<partition_value> format. By default false (the names of partition folders are only partition values)
Default Value: false (Optional)
Config Param: HIVE_STYLE_PARTITIONING_ENABLE

hoodie.table.keygenerator.class

Key Generator class property for the hoodie table
Default Value: N/A (Required)
Config Param: KEY_GENERATOR_CLASS_NAME

hoodie.table.version

Version of table, used for running upgrade/downgrade steps between releases with potentially breaking/backwards compatible changes.
Default Value: ZERO (Optional)
Config Param: VERSION

hoodie.table.base.file.format

Base file format to store all the base file data.
Default Value: PARQUET (Optional)
Config Param: BASE_FILE_FORMAT

hoodie.bootstrap.base.path

Base path of the dataset that needs to be bootstrapped as a Hudi table
Default Value: N/A (Required)
Config Param: BOOTSTRAP_BASE_PATH

hoodie.datasource.write.drop.partition.columns

When set to true, will not write the partition columns into hudi. By default, false.
Default Value: false (Optional)
Config Param: DROP_PARTITION_COLUMNS

hoodie.database.name

Database name that will be used for incremental query.If different databases have the same table name during incremental query, we can set it to limit the table name under a specific database
Default Value: N/A (Required)
Config Param: DATABASE_NAME

hoodie.timeline.layout.version

Version of timeline used, by the table.
Default Value: N/A (Required)
Config Param: TIMELINE_LAYOUT_VERSION

hoodie.table.name

Table name that will be used for registering with Hive. Needs to be same across runs.
Default Value: N/A (Required)
Config Param: NAME

Memory Configurations

Controls memory usage for compaction and merges, performed internally by Hudi.

Config Class: org.apache.hudi.config.HoodieMemoryConfig

hoodie.memory.merge.fraction

This fraction is multiplied with the user memory fraction (1 - spark.memory.fraction) to get a final fraction of heap space to use during merge
Default Value: 0.6 (Optional)
Config Param: MAX_MEMORY_FRACTION_FOR_MERGE

hoodie.memory.dfs.buffer.max.size

Property to control the max memory in bytes for dfs input stream buffer size
Default Value: 16777216 (Optional)
Config Param: MAX_DFS_STREAM_BUFFER_SIZE

hoodie.memory.writestatus.failure.fraction

Property to control how what fraction of the failed record, exceptions we report back to driver. Default is 10%. If set to 100%, with lot of failures, this can cause memory pressure, cause OOMs and mask actual data errors.
Default Value: 0.1 (Optional)
Config Param: WRITESTATUS_FAILURE_FRACTION

hoodie.memory.compaction.fraction

HoodieCompactedLogScanner reads logblocks, converts records to HoodieRecords and then merges these log blocks and records. At any point, the number of entries in a log block can be less than or equal to the number of entries in the corresponding parquet file. This can lead to OOM in the Scanner. Hence, a spillable map helps alleviate the memory pressure. Use this config to set the max allowable inMemory footprint of the spillable map
Default Value: 0.6 (Optional)
Config Param: MAX_MEMORY_FRACTION_FOR_COMPACTION

hoodie.memory.merge.max.size

Maximum amount of memory used in bytes for merge operations, before spilling to local storage.
Default Value: 1073741824 (Optional)
Config Param: MAX_MEMORY_FOR_MERGE

hoodie.memory.spillable.map.path

Default file path prefix for spillable map
Default Value: /tmp/ (Optional)
Config Param: SPILLABLE_MAP_BASE_PATH

hoodie.memory.compaction.max.size

Maximum amount of memory used in bytes for compaction operations in bytes , before spilling to local storage.
Default Value: N/A (Required)
Config Param: MAX_MEMORY_FOR_COMPACTION

Storage Configs

Configurations that control aspects around writing, sizing, reading base and log files.

Config Class: org.apache.hudi.config.HoodieStorageConfig

hoodie.logfile.data.block.max.size

LogFile Data block max size in bytes. This is the maximum size allowed for a single data block to be appended to a log file. This helps to make sure the data appended to the log file is broken up into sizable blocks to prevent from OOM errors. This size should be greater than the JVM memory.
Default Value: 268435456 (Optional)
Config Param: LOGFILE_DATA_BLOCK_MAX_SIZE

hoodie.parquet.outputtimestamptype

Sets spark.sql.parquet.outputTimestampType. Parquet timestamp type to use when Spark writes data to Parquet files.
Default Value: TIMESTAMP_MICROS (Optional)
Config Param: PARQUET_OUTPUT_TIMESTAMP_TYPE

hoodie.orc.stripe.size

Size of the memory buffer in bytes for writing
Default Value: 67108864 (Optional)
Config Param: ORC_STRIPE_SIZE

hoodie.orc.block.size

ORC block size, recommended to be aligned with the target file size.
Default Value: 125829120 (Optional)
Config Param: ORC_BLOCK_SIZE

hoodie.orc.compression.codec

Compression codec to use for ORC base files.
Default Value: ZLIB (Optional)
Config Param: ORC_COMPRESSION_CODEC_NAME

hoodie.parquet.max.file.size

Target size in bytes for parquet files produced by Hudi write phases. For DFS, this needs to be aligned with the underlying filesystem block size for optimal performance.
Default Value: 125829120 (Optional)
Config Param: PARQUET_MAX_FILE_SIZE

hoodie.hfile.max.file.size

Target file size in bytes for HFile base files.
Default Value: 125829120 (Optional)
Config Param: HFILE_MAX_FILE_SIZE

hoodie.parquet.writelegacyformat.enabled

Sets spark.sql.parquet.writeLegacyFormat. If true, data will be written in a way of Spark 1.4 and earlier. For example, decimal values will be written in Parquet's fixed-length byte array format which other systems such as Apache Hive and Apache Impala use. If false, the newer format in Parquet will be used. For example, decimals will be written in int-based format.
Default Value: false (Optional)
Config Param: PARQUET_WRITE_LEGACY_FORMAT_ENABLED

hoodie.parquet.block.size

Parquet RowGroup size in bytes. It's recommended to make this large enough that scan costs can be amortized by packing enough column values into a single row group.
Default Value: 125829120 (Optional)
Config Param: PARQUET_BLOCK_SIZE

hoodie.logfile.max.size

LogFile max size in bytes. This is the maximum size allowed for a log file before it is rolled over to the next version.
Default Value: 1073741824 (Optional)
Config Param: LOGFILE_MAX_SIZE

hoodie.parquet.dictionary.enabled

Whether to use dictionary encoding
Default Value: true (Optional)
Config Param: PARQUET_DICTIONARY_ENABLED

hoodie.hfile.block.size

Lower values increase the size in bytes of metadata tracked within HFile, but can offer potentially faster lookup times.
Default Value: 1048576 (Optional)
Config Param: HFILE_BLOCK_SIZE

hoodie.parquet.page.size

Parquet page size in bytes. Page is the unit of read within a parquet file. Within a block, pages are compressed separately.
Default Value: 1048576 (Optional)
Config Param: PARQUET_PAGE_SIZE

hoodie.hfile.compression.algorithm

Compression codec to use for hfile base files.
Default Value: GZ (Optional)
Config Param: HFILE_COMPRESSION_ALGORITHM_NAME

hoodie.orc.max.file.size

Target file size in bytes for ORC base files.
Default Value: 125829120 (Optional)
Config Param: ORC_FILE_MAX_SIZE

hoodie.logfile.data.block.format

Format of the data block within delta logs. Following formats are currently supported "avro", "hfile", "parquet"
Default Value: N/A (Required)
Config Param: LOGFILE_DATA_BLOCK_FORMAT

hoodie.logfile.to.parquet.compression.ratio

Expected additional compression as records move from log files to parquet. Used for merge_on_read table to send inserts into log files & control the size of compacted parquet file.
Default Value: 0.35 (Optional)
Config Param: LOGFILE_TO_PARQUET_COMPRESSION_RATIO_FRACTION

hoodie.parquet.compression.ratio

Expected compression of parquet data used by Hudi, when it tries to size new parquet files. Increase this value, if bulk_insert is producing smaller than expected sized files
Default Value: 0.1 (Optional)
Config Param: PARQUET_COMPRESSION_RATIO_FRACTION

hoodie.parquet.compression.codec

Compression Codec for parquet files
Default Value: gzip (Optional)
Config Param: PARQUET_COMPRESSION_CODEC_NAME

DynamoDB based Locks Configurations

Configs that control DynamoDB based locking mechanisms required for concurrency control between writers to a Hudi table. Concurrency between Hudi's own table services are auto managed internally.

Config Class: org.apache.hudi.config.DynamoDbBasedLockConfig

hoodie.write.lock.dynamodb.billing_mode

For DynamoDB based lock provider, by default it is PAY_PER_REQUEST mode
Default Value: PAY_PER_REQUEST (Optional)
Config Param: DYNAMODB_LOCK_BILLING_MODE
Since Version: 0.10.0

hoodie.write.lock.dynamodb.table

For DynamoDB based lock provider, the name of the DynamoDB table acting as lock table
Default Value: N/A (Required)
Config Param: DYNAMODB_LOCK_TABLE_NAME
Since Version: 0.10.0

hoodie.write.lock.dynamodb.region

For DynamoDB based lock provider, the region used in endpoint for Amazon DynamoDB service. Would try to first get it from AWS_REGION environment variable. If not find, by default use us-east-1
Default Value: us-east-1 (Optional)
Config Param: DYNAMODB_LOCK_REGION
Since Version: 0.10.0

hoodie.write.lock.dynamodb.partition_key

For DynamoDB based lock provider, the partition key for the DynamoDB lock table. Each Hudi dataset should has it's unique key so concurrent writers could refer to the same partition key. By default we use the Hudi table name specified to be the partition key
Default Value: N/A (Required)
Config Param: DYNAMODB_LOCK_PARTITION_KEY
Since Version: 0.10.0

hoodie.write.lock.dynamodb.write_capacity

For DynamoDB based lock provider, write capacity units when using PROVISIONED billing mode
Default Value: 10 (Optional)
Config Param: DYNAMODB_LOCK_WRITE_CAPACITY
Since Version: 0.10.0

hoodie.write.lock.dynamodb.table_creation_timeout

For DynamoDB based lock provider, the maximum number of milliseconds to wait for creating DynamoDB table
Default Value: 600000 (Optional)
Config Param: DYNAMODB_LOCK_TABLE_CREATION_TIMEOUT
Since Version: 0.10.0

hoodie.write.lock.dynamodb.read_capacity

For DynamoDB based lock provider, read capacity units when using PROVISIONED billing mode
Default Value: 20 (Optional)
Config Param: DYNAMODB_LOCK_READ_CAPACITY
Since Version: 0.10.0

hoodie.write.lock.dynamodb.endpoint_url

For DynamoDB based lock provider, the url endpoint used for Amazon DynamoDB service. Useful for development with a local dynamodb instance.
Default Value: N/A (Required)
Config Param: DYNAMODB_ENDPOINT_URL
Since Version: 0.10.1

Metadata Configs

Configurations used by the Hudi Metadata Table. This table maintains the metadata about a given Hudi table (e.g file listings) to avoid overhead of accessing cloud storage, during queries.

Config Class: org.apache.hudi.common.config.HoodieMetadataConfig

hoodie.metadata.index.column.stats.parallelism

Parallelism to use, when generating column stats index.
Default Value: 10 (Optional)
Config Param: COLUMN_STATS_INDEX_PARALLELISM
Since Version: 0.11.0

hoodie.metadata.compact.max.delta.commits

Controls how often the metadata table is compacted.
Default Value: 10 (Optional)
Config Param: COMPACT_NUM_DELTA_COMMITS
Since Version: 0.7.0

hoodie.assume.date.partitioning

Should HoodieWriteClient assume the data is partitioned by dates, i.e three levels from base path. This is a stop-gap to support tables created by versions < 0.3.1. Will be removed eventually
Default Value: false (Optional)
Config Param: ASSUME_DATE_PARTITIONING
Since Version: 0.3.0

hoodie.metadata.index.column.stats.enable

Enable indexing column ranges of user data files under metadata table key lookups. When enabled, metadata table will have a partition to store the column ranges and will be used for pruning files during the index lookups.
Default Value: false (Optional)
Config Param: ENABLE_METADATA_INDEX_COLUMN_STATS
Since Version: 0.11.0

hoodie.metadata.index.bloom.filter.column.list

Comma-separated list of columns for which bloom filter index will be built. If not set, only record key will be indexed.
Default Value: N/A (Required)
Config Param: BLOOM_FILTER_INDEX_FOR_COLUMNS
Since Version: 0.11.0

hoodie.metadata.metrics.enable

Enable publishing of metrics around metadata table.
Default Value: false (Optional)
Config Param: METRICS_ENABLE
Since Version: 0.7.0

hoodie.metadata.index.bloom.filter.file.group.count

Metadata bloom filter index partition file group count. This controls the size of the base and log files and read parallelism in the bloom filter index partition. The recommendation is to size the file group count such that the base files are under 1GB.
Default Value: 4 (Optional)
Config Param: METADATA_INDEX_BLOOM_FILTER_FILE_GROUP_COUNT
Since Version: 0.11.0

hoodie.metadata.cleaner.commits.retained

Number of commits to retain, without cleaning, on metadata table.
Default Value: 3 (Optional)
Config Param: CLEANER_COMMITS_RETAINED
Since Version: 0.7.0

hoodie.metadata.index.check.timeout.seconds

After the async indexer has finished indexing upto the base instant, it will ensure that all inflight writers reliably write index updates as well. If this timeout expires, then the indexer will abort itself safely.
Default Value: 900 (Optional)
Config Param: METADATA_INDEX_CHECK_TIMEOUT_SECONDS
Since Version: 0.11.0

_hoodie.metadata.ignore.spurious.deletes

There are cases when extra files are requested to be deleted from metadata table which are never added before. This config determines how to handle such spurious deletes
Default Value: true (Optional)
Config Param: IGNORE_SPURIOUS_DELETES
Since Version: 0.10.0

hoodie.file.listing.parallelism

Parallelism to use, when listing the table on lake storage.
Default Value: 200 (Optional)
Config Param: FILE_LISTING_PARALLELISM_VALUE
Since Version: 0.7.0

hoodie.metadata.populate.meta.fields

When enabled, populates all meta fields. When disabled, no meta fields are populated.
Default Value: false (Optional)
Config Param: POPULATE_META_FIELDS
Since Version: 0.10.0

hoodie.metadata.index.async

Enable asynchronous indexing of metadata table.
Default Value: false (Optional)
Config Param: ASYNC_INDEX_ENABLE
Since Version: 0.11.0

hoodie.metadata.index.column.stats.column.list

Comma-separated list of columns for which column stats index will be built. If not set, all columns will be indexed
Default Value: N/A (Required)
Config Param: COLUMN_STATS_INDEX_FOR_COLUMNS
Since Version: 0.11.0

hoodie.metadata.enable.full.scan.log.files

Enable full scanning of log files while reading log records. If disabled, Hudi does look up of only interested entries.
Default Value: true (Optional)
Config Param: ENABLE_FULL_SCAN_LOG_FILES
Since Version: 0.10.0

hoodie.metadata.index.column.stats.file.group.count

Metadata column stats partition file group count. This controls the size of the base and log files and read parallelism in the column stats index partition. The recommendation is to size the file group count such that the base files are under 1GB.
Default Value: 2 (Optional)
Config Param: METADATA_INDEX_COLUMN_STATS_FILE_GROUP_COUNT
Since Version: 0.11.0

hoodie.metadata.enable

Enable the internal metadata table which serves table metadata like level file listings
Default Value: true (Optional)
Config Param: ENABLE
Since Version: 0.7.0

hoodie.metadata.index.bloom.filter.enable

Enable indexing bloom filters of user data files under metadata table. When enabled, metadata table will have a partition to store the bloom filter index and will be used during the index lookups.
Default Value: false (Optional)
Config Param: ENABLE_METADATA_INDEX_BLOOM_FILTER
Since Version: 0.11.0

hoodie.metadata.index.bloom.filter.parallelism

Parallelism to use for generating bloom filter index in metadata table.
Default Value: 200 (Optional)
Config Param: BLOOM_FILTER_INDEX_PARALLELISM
Since Version: 0.11.0

hoodie.metadata.clean.async

Enable asynchronous cleaning for metadata table
Default Value: false (Optional)
Config Param: ASYNC_CLEAN_ENABLE
Since Version: 0.7.0

hoodie.metadata.keep.max.commits

Similar to hoodie.metadata.keep.min.commits, this config controls the maximum number of instants to retain in the active timeline.
Default Value: 30 (Optional)
Config Param: MAX_COMMITS_TO_KEEP
Since Version: 0.7.0

hoodie.metadata.insert.parallelism

Parallelism to use when inserting to the metadata table
Default Value: 1 (Optional)
Config Param: INSERT_PARALLELISM_VALUE
Since Version: 0.7.0

hoodie.metadata.dir.filter.regex

Directories matching this regex, will be filtered out when initializing metadata table from lake storage for the first time.
Default Value: (Optional)
Config Param: DIR_FILTER_REGEX
Since Version: 0.7.0

hoodie.metadata.keep.min.commits

Archiving service moves older entries from metadata table’s timeline into an archived log after each write, to keep the overhead constant, even as the metadata table size grows. This config controls the minimum number of instants to retain in the active timeline.
Default Value: 20 (Optional)
Config Param: MIN_COMMITS_TO_KEEP
Since Version: 0.7.0

Consistency Guard Configurations

The consistency guard related config options, to help talk to eventually consistent object storage.(Tip: S3 is NOT eventually consistent anymore!)

Config Class: org.apache.hudi.common.fs.ConsistencyGuardConfig

hoodie.optimistic.consistency.guard.sleep_time_ms

Amount of time (in ms), to wait after which we assume storage is consistent.
Default Value: 500 (Optional)
Config Param: OPTIMISTIC_CONSISTENCY_GUARD_SLEEP_TIME_MS
Since Version: 0.6.0

hoodie.consistency.check.max_interval_ms

Maximum amount of time (in ms), to wait for consistency checking.
Default Value: 20000 (Optional)
Config Param: MAX_CHECK_INTERVAL_MS
Since Version: 0.5.0
Deprecated Version: 0.7.0

_hoodie.optimistic.consistency.guard.enable

Enable consistency guard, which optimistically assumes consistency is achieved after a certain time period.
Default Value: false (Optional)
Config Param: OPTIMISTIC_CONSISTENCY_GUARD_ENABLE
Since Version: 0.6.0

hoodie.consistency.check.enabled

Enabled to handle S3 eventual consistency issue. This property is no longer required since S3 is now strongly consistent. Will be removed in the future releases.
Default Value: false (Optional)
Config Param: ENABLE
Since Version: 0.5.0
Deprecated Version: 0.7.0

hoodie.consistency.check.max_checks

Maximum number of consistency checks to perform, with exponential backoff.
Default Value: 6 (Optional)
Config Param: MAX_CHECKS
Since Version: 0.5.0
Deprecated Version: 0.7.0

hoodie.consistency.check.initial_interval_ms

Amount of time (in ms) to wait, before checking for consistency after an operation on storage.
Default Value: 400 (Optional)
Config Param: INITIAL_CHECK_INTERVAL_MS
Since Version: 0.5.0
Deprecated Version: 0.7.0

FileSystem Guard Configurations

The filesystem retry related config options, to help deal with runtime exception like list/get/put/delete performance issues.

Config Class: org.apache.hudi.common.fs.FileSystemRetryConfig

hoodie.filesystem.operation.retry.max_interval_ms

Maximum amount of time (in ms), to wait for next retry.
Default Value: 2000 (Optional)
Config Param: MAX_RETRY_INTERVAL_MS
Since Version: 0.11.0

hoodie.filesystem.operation.retry.enable

Enabled to handle list/get/delete etc file system performance issue.
Default Value: false (Optional)
Config Param: FILESYSTEM_RETRY_ENABLE
Since Version: 0.11.0

hoodie.filesystem.operation.retry.max_numbers

Maximum number of retry actions to perform, with exponential backoff.
Default Value: 4 (Optional)
Config Param: MAX_RETRY_NUMBERS
Since Version: 0.11.0

hoodie.filesystem.operation.retry.exceptions

The class name of the Exception that needs to be re-tryed, separated by commas. Default is empty which means retry all the IOException and RuntimeException from FileSystem
Default Value: (Optional)
Config Param: RETRY_EXCEPTIONS
Since Version: 0.11.0

hoodie.filesystem.operation.retry.initial_interval_ms

Amount of time (in ms) to wait, before retry to do operations on storage.
Default Value: 100 (Optional)
Config Param: INITIAL_RETRY_INTERVAL_MS
Since Version: 0.11.0

Write Configurations

Configurations that control write behavior on Hudi tables. These can be directly passed down from even higher level frameworks (e.g Spark datasources, Flink sink) and utilities (e.g DeltaStreamer).

Config Class: org.apache.hudi.config.HoodieWriteConfig

hoodie.combine.before.upsert

When upserted records share same key, controls whether they should be first combined (i.e de-duplicated) before writing to storage. This should be turned off only if you are absolutely certain that there are no duplicates incoming, otherwise it can lead to duplicate keys and violate the uniqueness guarantees.
Default Value: true (Optional)
Config Param: COMBINE_BEFORE_UPSERT

hoodie.write.markers.type

Marker type to use. Two modes are supported: - DIRECT: individual marker file corresponding to each data file is directly created by the writer. - TIMELINE_SERVER_BASED: marker operations are all handled at the timeline service which serves as a proxy. New marker entries are batch processed and stored in a limited number of underlying files for efficiency. If HDFS is used or timeline server is disabled, DIRECT markers are used as fallback even if this is configure. For Spark structured streaming, this configuration does not take effect, i.e., DIRECT markers are always used for Spark structured streaming.
Default Value: TIMELINE_SERVER_BASED (Optional)
Config Param: MARKERS_TYPE
Since Version: 0.9.0

hoodie.consistency.check.max_interval_ms

Max time to wait between successive attempts at performing consistency checks
Default Value: 300000 (Optional)
Config Param: MAX_CONSISTENCY_CHECK_INTERVAL_MS

hoodie.embed.timeline.server.port

Port at which the timeline server listens for requests. When running embedded in each writer, it picks a free port and communicates to all the executors. This should rarely be changed.
Default Value: 0 (Optional)
Config Param: EMBEDDED_TIMELINE_SERVER_PORT_NUM

hoodie.auto.adjust.lock.configs

Auto adjust lock configurations when metadata table is enabled and for async table services.
Default Value: false (Optional)
Config Param: AUTO_ADJUST_LOCK_CONFIGS
Since Version: 0.11.0

hoodie.schema.on.read.enable

enable full schema evolution for hoodie
Default Value: false (Optional)
Config Param: SCHEMA_EVOLUTION_ENABLE

hoodie.table.services.enabled

Master control to disable all table services including archive, clean, compact, cluster, etc.
Default Value: true (Optional)
Config Param: TABLE_SERVICES_ENABLED
Since Version: 0.11.0

hoodie.table.base.file.format

Base file format to store all the base file data.
Default Value: PARQUET (Optional)
Config Param: BASE_FILE_FORMAT

hoodie.avro.schema.validate

Validate the schema used for the write against the latest schema, for backwards compatibility.
Default Value: false (Optional)
Config Param: AVRO_SCHEMA_VALIDATE_ENABLE

hoodie.write.buffer.limit.bytes

Size of in-memory buffer used for parallelizing network reads and lake storage writes.
Default Value: 4194304 (Optional)
Config Param: WRITE_BUFFER_LIMIT_BYTES_VALUE

hoodie.insert.shuffle.parallelism

Parallelism for inserting records into the table. Inserts can shuffle data before writing to tune file sizes and optimize the storage layout.
Default Value: 200 (Optional)
Config Param: INSERT_PARALLELISM_VALUE

hoodie.embed.timeline.server.async

Controls whether or not, the requests to the timeline server are processed in asynchronous fashion, potentially improving throughput.
Default Value: false (Optional)
Config Param: EMBEDDED_TIMELINE_SERVER_USE_ASYNC_ENABLE

hoodie.rollback.parallelism

Parallelism for rollback of commits. Rollbacks perform delete of files or logging delete blocks to file groups on storage in parallel.
Default Value: 100 (Optional)
Config Param: ROLLBACK_PARALLELISM_VALUE

hoodie.write.status.storage.level

Write status objects hold metadata about a write (stats, errors), that is not yet committed to storage. This controls the how that information is cached for inspection by clients. We rarely expect this to be changed.
Default Value: MEMORY_AND_DISK_SER (Optional)
Config Param: WRITE_STATUS_STORAGE_LEVEL_VALUE

hoodie.writestatus.class

Subclass of org.apache.hudi.client.WriteStatus to be used to collect information about a write. Can be overridden to collection additional metrics/statistics about the data if needed.
Default Value: org.apache.hudi.client.WriteStatus (Optional)
Config Param: WRITE_STATUS_CLASS_NAME

hoodie.base.path

Base path on lake storage, under which all the table data is stored. Always prefix it explicitly with the storage scheme (e.g hdfs://, s3:// etc). Hudi stores all the main meta-data about commits, savepoints, cleaning audit logs etc in .hoodie directory under this base path directory.
Default Value: N/A (Required)
Config Param: BASE_PATH

hoodie.allow.empty.commit

Whether to allow generation of empty commits, even if no data was written in the commit. It's useful in cases where extra metadata needs to be published regardless e.g tracking source offsets when ingesting data
Default Value: true (Optional)
Config Param: ALLOW_EMPTY_COMMIT

hoodie.bulkinsert.user.defined.partitioner.class

If specified, this class will be used to re-partition records before they are bulk inserted. This can be used to sort, pack, cluster data optimally for common query patterns. For now we support a build-in user defined bulkinsert partitioner org.apache.hudi.execution.bulkinsert.RDDCustomColumnsSortPartitioner which can does sorting based on specified column values set by hoodie.bulkinsert.user.defined.partitioner.sort.columns
Default Value: N/A (Required)
Config Param: BULKINSERT_USER_DEFINED_PARTITIONER_CLASS_NAME

hoodie.table.name

Table name that will be used for registering with metastores like HMS. Needs to be same across runs.
Default Value: N/A (Required)
Config Param: TBL_NAME

hoodie.combine.before.delete

During delete operations, controls whether we should combine deletes (and potentially also upserts) before writing to storage.
Default Value: true (Optional)
Config Param: COMBINE_BEFORE_DELETE

hoodie.embed.timeline.server.threads

Number of threads to serve requests in the timeline server. By default, auto configured based on the number of underlying cores.
Default Value: -1 (Optional)
Config Param: EMBEDDED_TIMELINE_NUM_SERVER_THREADS

hoodie.fileid.prefix.provider.class

File Id Prefix provider class, that implements org.apache.hudi.fileid.FileIdPrefixProvider
Default Value: org.apache.hudi.table.RandomFileIdPrefixProvider (Optional)
Config Param: FILEID_PREFIX_PROVIDER_CLASS
Since Version: 0.10.0

hoodie.fail.on.timeline.archiving

Timeline archiving removes older instants from the timeline, after each write operation, to minimize metadata overhead. Controls whether or not, the write should be failed as well, if such archiving fails.
Default Value: true (Optional)
Config Param: FAIL_ON_TIMELINE_ARCHIVING_ENABLE

hoodie.datasource.write.keygenerator.class

Key generator class, that implements org.apache.hudi.keygen.KeyGenerator extract a key out of incoming records.
Default Value: N/A (Required)
Config Param: KEYGENERATOR_CLASS_NAME

hoodie.combine.before.insert

When inserted records share same key, controls whether they should be first combined (i.e de-duplicated) before writing to storage.
Default Value: false (Optional)
Config Param: COMBINE_BEFORE_INSERT

hoodie.embed.timeline.server.gzip

Controls whether gzip compression is used, for large responses from the timeline server, to improve latency.
Default Value: true (Optional)
Config Param: EMBEDDED_TIMELINE_SERVER_COMPRESS_ENABLE

hoodie.markers.timeline_server_based.batch.interval_ms

The batch interval in milliseconds for marker creation batch processing
Default Value: 50 (Optional)
Config Param: MARKERS_TIMELINE_SERVER_BASED_BATCH_INTERVAL_MS
Since Version: 0.9.0

hoodie.markers.timeline_server_based.batch.num_threads

Number of threads to use for batch processing marker creation requests at the timeline server
Default Value: 20 (Optional)
Config Param: MARKERS_TIMELINE_SERVER_BASED_BATCH_NUM_THREADS
Since Version: 0.9.0

_.hoodie.allow.multi.write.on.same.instant

Default Value: false (Optional)
Config Param: ALLOW_MULTI_WRITE_ON_SAME_INSTANT_ENABLE

hoodie.datasource.write.payload.class

Payload class used. Override this, if you like to roll your own merge logic, when upserting/inserting. This will render any value set for PRECOMBINE_FIELD_OPT_VAL in-effective
Default Value: org.apache.hudi.common.model.OverwriteWithLatestAvroPayload (Optional)
Config Param: WRITE_PAYLOAD_CLASS_NAME

hoodie.bulkinsert.shuffle.parallelism

For large initial imports using bulk_insert operation, controls the parallelism to use for sort modes or custom partitioning donebefore writing records to the table.
Default Value: 200 (Optional)
Config Param: BULKINSERT_PARALLELISM_VALUE

hoodie.delete.shuffle.parallelism

Parallelism used for “delete” operation. Delete operations also performs shuffles, similar to upsert operation.
Default Value: 200 (Optional)
Config Param: DELETE_PARALLELISM_VALUE

hoodie.consistency.check.max_checks

Maximum number of checks, for consistency of written data.
Default Value: 7 (Optional)
Config Param: MAX_CONSISTENCY_CHECKS

hoodie.datasource.write.keygenerator.type

Easily configure one the built-in key generators, instead of specifying the key generator class.Currently supports SIMPLE, COMPLEX, TIMESTAMP, CUSTOM, NON_PARTITION, GLOBAL_DELETE. Note This is being actively worked on. Please use hoodie.datasource.write.keygenerator.class instead.
Default Value: SIMPLE (Optional)
Config Param: KEYGENERATOR_TYPE

hoodie.merge.allow.duplicate.on.inserts

When enabled, we allow duplicate keys even if inserts are routed to merge with an existing file (for ensuring file sizing). This is only relevant for insert operation, since upsert, delete operations will ensure unique key constraints are maintained.
Default Value: false (Optional)
Config Param: MERGE_ALLOW_DUPLICATE_ON_INSERTS_ENABLE

hoodie.embed.timeline.server.reuse.enabled

Controls whether the timeline server instance should be cached and reused across the JVM (across task lifecycles)to avoid startup costs. This should rarely be changed.
Default Value: false (Optional)
Config Param: EMBEDDED_TIMELINE_SERVER_REUSE_ENABLED

hoodie.datasource.write.precombine.field

Field used in preCombining before actual write. When two records have the same key value, we will pick the one with the largest value for the precombine field, determined by Object.compareTo(..)
Default Value: ts (Optional)
Config Param: PRECOMBINE_FIELD_NAME

hoodie.bulkinsert.sort.mode

Sorting modes to use for sorting records for bulk insert. This is use when user hoodie.bulkinsert.user.defined.partitioner.classis not configured. Available values are - GLOBAL_SORT: this ensures best file sizes, with lowest memory overhead at cost of sorting. PARTITION_SORT: Strikes a balance by only sorting within a partition, still keeping the memory overhead of writing lowest and best effort file sizing. NONE: No sorting. Fastest and matches spark.write.parquet() in terms of number of files, overheads
Default Value: GLOBAL_SORT (Optional)
Config Param: BULK_INSERT_SORT_MODE

hoodie.avro.schema

Schema string representing the current write schema of the table. Hudi passes this to implementations of HoodieRecordPayload to convert incoming records to avro. This is also used as the write schema evolving records during an update.
Default Value: N/A (Required)
Config Param: AVRO_SCHEMA_STRING

hoodie.auto.commit

Controls whether a write operation should auto commit. This can be turned off to perform inspection of the uncommitted write before deciding to commit.
Default Value: true (Optional)
Config Param: AUTO_COMMIT_ENABLE

hoodie.embed.timeline.server

When true, spins up an instance of the timeline server (meta server that serves cached file listings, statistics),running on each writer's driver process, accepting requests during the write from executors.
Default Value: true (Optional)
Config Param: EMBEDDED_TIMELINE_SERVER_ENABLE

hoodie.timeline.layout.version

Controls the layout of the timeline. Version 0 relied on renames, Version 1 (default) models the timeline as an immutable log relying only on atomic writes for object storage.
Default Value: 1 (Optional)
Config Param: TIMELINE_LAYOUT_VERSION_NUM
Since Version: 0.5.1

hoodie.schema.cache.enable

cache query internalSchemas in driver/executor side
Default Value: false (Optional)
Config Param: ENABLE_INTERNAL_SCHEMA_CACHE

hoodie.refresh.timeline.server.based.on.latest.commit

Refresh timeline in timeline server based on latest commit apart from timeline hash difference. By default (false),
Default Value: false (Optional)
Config Param: REFRESH_TIMELINE_SERVER_BASED_ON_LATEST_COMMIT

hoodie.upsert.shuffle.parallelism

Parallelism to use for upsert operation on the table. Upserts can shuffle data to perform index lookups, file sizing, bin packing records optimallyinto file groups.
Default Value: 200 (Optional)
Config Param: UPSERT_PARALLELISM_VALUE

hoodie.write.schema

The specified write schema. In most case, we do not need set this parameter, but for the case the write schema is not equal to the specified table schema, we can specify the write schema by this parameter. Used by MergeIntoHoodieTableCommand
Default Value: N/A (Required)
Config Param: WRITE_SCHEMA

hoodie.rollback.using.markers

Enables a more efficient mechanism for rollbacks based on the marker files generated during the writes. Turned on by default.
Default Value: true (Optional)
Config Param: ROLLBACK_USING_MARKERS_ENABLE

hoodie.merge.data.validation.enabled

When enabled, data validation checks are performed during merges to ensure expected number of records after merge operation.
Default Value: false (Optional)
Config Param: MERGE_DATA_VALIDATION_CHECK_ENABLE

hoodie.internal.schema

Schema string representing the latest schema of the table. Hudi passes this to implementations of evolution of schema
Default Value: N/A (Required)
Config Param: INTERNAL_SCHEMA_STRING

hoodie.client.heartbeat.tolerable.misses

Number of heartbeat misses, before a writer is deemed not alive and all pending writes are aborted.
Default Value: 2 (Optional)
Config Param: CLIENT_HEARTBEAT_NUM_TOLERABLE_MISSES

hoodie.write.concurrency.mode

Enable different concurrency modes. Options are SINGLE_WRITER: Only one active writer to the table. Maximizes throughputOPTIMISTIC_CONCURRENCY_CONTROL: Multiple writers can operate on the table and exactly one of them succeed if a conflict (writes affect the same file group) is detected.
Default Value: SINGLE_WRITER (Optional)
Config Param: WRITE_CONCURRENCY_MODE

hoodie.markers.delete.parallelism

Determines the parallelism for deleting marker files, which are used to track all files (valid or invalid/partial) written during a write operation. Increase this value if delays are observed, with large batch writes.
Default Value: 100 (Optional)
Config Param: MARKERS_DELETE_PARALLELISM_VALUE

hoodie.release.resource.on.completion.enable

Control to enable release all persist rdds when the spark job finish.
Default Value: true (Optional)
Config Param: RELEASE_RESOURCE_ENABLE
Since Version: 0.11.0

hoodie.bulkinsert.user.defined.partitioner.sort.columns

Columns to sort the data by when use org.apache.hudi.execution.bulkinsert.RDDCustomColumnsSortPartitioner as user defined partitioner during bulk_insert. For example 'column1,column2'
Default Value: N/A (Required)
Config Param: BULKINSERT_USER_DEFINED_PARTITIONER_SORT_COLUMNS

hoodie.finalize.write.parallelism

Parallelism for the write finalization internal operation, which involves removing any partially written files from lake storage, before committing the write. Reduce this value, if the high number of tasks incur delays for smaller tables or low latency writes.
Default Value: 200 (Optional)
Config Param: FINALIZE_WRITE_PARALLELISM_VALUE

hoodie.merge.small.file.group.candidates.limit

Limits number of file groups, whose base file satisfies small-file limit, to consider for appending records during upsert operation. Only applicable to MOR tables
Default Value: 1 (Optional)
Config Param: MERGE_SMALL_FILE_GROUP_CANDIDATES_LIMIT

hoodie.client.heartbeat.interval_in_ms

Writers perform heartbeats to indicate liveness. Controls how often (in ms), such heartbeats are registered to lake storage.
Default Value: 60000 (Optional)
Config Param: CLIENT_HEARTBEAT_INTERVAL_IN_MS

hoodie.allow.operation.metadata.field

Whether to include '_hoodie_operation' in the metadata fields. Once enabled, all the changes of a record are persisted to the delta log directly without merge
Default Value: false (Optional)
Config Param: ALLOW_OPERATION_METADATA_FIELD
Since Version: 0.9.0

hoodie.consistency.check.initial_interval_ms

Initial time between successive attempts to ensure written data's metadata is consistent on storage. Grows with exponential backoff after the initial value.
Default Value: 2000 (Optional)
Config Param: INITIAL_CONSISTENCY_CHECK_INTERVAL_MS

hoodie.avro.schema.external.transformation

When enabled, records in older schema are rewritten into newer schema during upsert,delete and background compaction,clustering operations.
Default Value: false (Optional)
Config Param: AVRO_EXTERNAL_SCHEMA_TRANSFORMATION_ENABLE

Key Generator Options

Hudi maintains keys (record key + partition path) for uniquely identifying a particular record. This config allows developers to setup the Key generator class that will extract these out of incoming records.

Config Class: org.apache.hudi.keygen.constant.KeyGeneratorOptions

hoodie.datasource.write.partitionpath.urlencode

Should we url encode the partition path value, before creating the folder structure.
Default Value: false (Optional)
Config Param: URL_ENCODE_PARTITIONING

hoodie.datasource.write.hive_style_partitioning

Flag to indicate whether to use Hive style partitioning. If set true, the names of partition folders follow <partition_column_name>=<partition_value> format. By default false (the names of partition folders are only partition values)
Default Value: false (Optional)
Config Param: HIVE_STYLE_PARTITIONING_ENABLE

hoodie.datasource.write.keygenerator.consistent.logical.timestamp.enabled

When set to true, consistent value will be generated for a logical timestamp type column, like timestamp-millis and timestamp-micros, irrespective of whether row-writer is enabled. Disabled by default so as not to break the pipeline that deploy either fully row-writer path or non row-writer path. For example, if it is kept disabled then record key of timestamp type with value 2016-12-29 09:54:00 will be written as timestamp 2016-12-29 09:54:00.0 in row-writer path, while it will be written as long value 1483023240000000 in non row-writer path. If enabled, then the timestamp value will be written in both the cases.
Default Value: false (Optional)
Config Param: KEYGENERATOR_CONSISTENT_LOGICAL_TIMESTAMP_ENABLED

hoodie.datasource.write.partitionpath.field

Partition path field. Value to be used at the partitionPath component of HoodieKey. Actual value ontained by invoking .toString()
Default Value: N/A (Required)
Config Param: PARTITIONPATH_FIELD_NAME

hoodie.datasource.write.recordkey.field

Record key field. Value to be used as the recordKey component of HoodieKey. Actual value will be obtained by invoking .toString() on the field value. Nested fields can be specified using the dot notation eg: a.b.c
Default Value: uuid (Optional)
Config Param: RECORDKEY_FIELD_NAME

HBase Index Configs

Configurations that control indexing behavior (when HBase based indexing is enabled), which tags incoming records as either inserts or updates to older records.

Config Class: org.apache.hudi.config.HoodieHBaseIndexConfig

hoodie.index.hbase.zkport

Only applies if index type is HBASE. HBase ZK Quorum port to connect to
Default Value: N/A (Required)
Config Param: ZKPORT

hoodie.hbase.index.update.partition.path

Only applies if index type is HBASE. When an already existing record is upserted to a new partition compared to whats in storage, this config when set, will delete old record in old partition and will insert it as new record in new partition.
Default Value: false (Optional)
Config Param: UPDATE_PARTITION_PATH_ENABLE

hoodie.index.hbase.qps.allocator.class

Property to set which implementation of HBase QPS resource allocator to be used, whichcontrols the batching rate dynamically.
Default Value: org.apache.hudi.index.hbase.DefaultHBaseQPSResourceAllocator (Optional)
Config Param: QPS_ALLOCATOR_CLASS_NAME

hoodie.index.hbase.put.batch.size.autocompute

Property to set to enable auto computation of put batch size
Default Value: false (Optional)
Config Param: PUT_BATCH_SIZE_AUTO_COMPUTE

hoodie.index.hbase.rollback.sync

When set to true, the rollback method will delete the last failed task index. The default value is false. Because deleting the index will add extra load on the Hbase cluster for each rollback
Default Value: false (Optional)
Config Param: ROLLBACK_SYNC_ENABLE

hoodie.index.hbase.get.batch.size

Controls the batch size for performing gets against HBase. Batching improves throughput, by saving round trips.
Default Value: 100 (Optional)
Config Param: GET_BATCH_SIZE

hoodie.index.hbase.zkpath.qps_root

chroot in zookeeper, to use for all qps allocation co-ordination.
Default Value: /QPS_ROOT (Optional)
Config Param: ZKPATH_QPS_ROOT

hoodie.index.hbase.max.qps.per.region.server

Property to set maximum QPS allowed per Region Server. This should be same across various jobs. This is intended to limit the aggregate QPS generated across various jobs to an Hbase Region Server. It is recommended to set this value based on global indexing throughput needs and most importantly, how much the HBase installation in use is able to tolerate without Region Servers going down.
Default Value: 1000 (Optional)
Config Param: MAX_QPS_PER_REGION_SERVER

hoodie.index.hbase.max.qps.fraction

Maximum for HBASE_QPS_FRACTION_PROP to stabilize skewed write workloads
Default Value: N/A (Required)
Config Param: MAX_QPS_FRACTION

hoodie.index.hbase.min.qps.fraction

Minimum for HBASE_QPS_FRACTION_PROP to stabilize skewed write workloads
Default Value: N/A (Required)
Config Param: MIN_QPS_FRACTION

hoodie.index.hbase.zk.connection_timeout_ms

Timeout to use for establishing connection with zookeeper, from HBase client.
Default Value: 15000 (Optional)
Config Param: ZK_CONNECTION_TIMEOUT_MS

hoodie.index.hbase.table

Only applies if index type is HBASE. HBase Table name to use as the index. Hudi stores the row_key and [partition_path, fileID, commitTime] mapping in the table
Default Value: N/A (Required)
Config Param: TABLENAME

hoodie.index.hbase.dynamic_qps

Property to decide if HBASE_QPS_FRACTION_PROP is dynamically calculated based on write volume.
Default Value: false (Optional)
Config Param: COMPUTE_QPS_DYNAMICALLY

hoodie.index.hbase.zknode.path

Only applies if index type is HBASE. This is the root znode that will contain all the znodes created/used by HBase
Default Value: N/A (Required)
Config Param: ZK_NODE_PATH

hoodie.index.hbase.zkquorum

Only applies if index type is HBASE. HBase ZK Quorum url to connect to
Default Value: N/A (Required)
Config Param: ZKQUORUM

hoodie.index.hbase.qps.fraction

Property to set the fraction of the global share of QPS that should be allocated to this job. Let's say there are 3 jobs which have input size in terms of number of rows required for HbaseIndexing as x, 2x, 3x respectively. Then this fraction for the jobs would be (0.17) 1/6, 0.33 (2/6) and 0.5 (3/6) respectively. Default is 50%, which means a total of 2 jobs can run using HbaseIndex without overwhelming Region Servers.
Default Value: 0.5 (Optional)
Config Param: QPS_FRACTION

hoodie.index.hbase.zk.session_timeout_ms

Session timeout value to use for Zookeeper failure detection, for the HBase client.Lower this value, if you want to fail faster.
Default Value: 60000 (Optional)
Config Param: ZK_SESSION_TIMEOUT_MS

hoodie.index.hbase.put.batch.size

Controls the batch size for performing puts against HBase. Batching improves throughput, by saving round trips.
Default Value: 100 (Optional)
Config Param: PUT_BATCH_SIZE

hoodie.index.hbase.desired_puts_time_in_secs

Default Value: 600 (Optional)
Config Param: DESIRED_PUTS_TIME_IN_SECONDS

hoodie.index.hbase.sleep.ms.for.put.batch

Default Value: N/A (Required)
Config Param: SLEEP_MS_FOR_PUT_BATCH

hoodie.index.hbase.sleep.ms.for.get.batch

Default Value: N/A (Required)
Config Param: SLEEP_MS_FOR_GET_BATCH

Write commit pulsar callback configs

Controls notifications sent to pulsar, on events happening to a hudi table.

Config Class: org.apache.hudi.utilities.callback.pulsar.HoodieWriteCommitPulsarCallbackConfig

hoodie.write.commit.callback.pulsar.operation-timeout

Duration of waiting for completing an operation.
Default Value: 30s (Optional)
Config Param: OPERATION_TIMEOUT
Since Version: 0.11.0

hoodie.write.commit.callback.pulsar.topic

pulsar topic name to publish timeline activity into.
Default Value: N/A (Required)
Config Param: TOPIC
Since Version: 0.11.0

hoodie.write.commit.callback.pulsar.producer.block-if-queue-full

When the queue is full, the method is blocked instead of an exception is thrown.
Default Value: true (Optional)
Config Param: PRODUCER_BLOCK_QUEUE_FULL
Since Version: 0.11.0

hoodie.write.commit.callback.pulsar.producer.send-timeout

The timeout in each sending to pulsar.
Default Value: 30s (Optional)
Config Param: PRODUCER_SEND_TIMEOUT
Since Version: 0.11.0

hoodie.write.commit.callback.pulsar.broker.service.url

Server's url of pulsar cluster, to be used for publishing commit metadata.
Default Value: N/A (Required)
Config Param: BROKER_SERVICE_URL
Since Version: 0.11.0

hoodie.write.commit.callback.pulsar.keepalive-interval

Duration of keeping alive interval for each client broker connection.
Default Value: 30s (Optional)
Config Param: KEEPALIVE_INTERVAL
Since Version: 0.11.0

hoodie.write.commit.callback.pulsar.producer.pending-total-size

The maximum number of pending messages across partitions.
Default Value: 50000 (Optional)
Config Param: PRODUCER_PENDING_SIZE
Since Version: 0.11.0

hoodie.write.commit.callback.pulsar.request-timeout

Duration of waiting for completing a request.
Default Value: 60s (Optional)
Config Param: REQUEST_TIMEOUT
Since Version: 0.11.0

hoodie.write.commit.callback.pulsar.producer.pending-queue-size

The maximum size of a queue holding pending messages.
Default Value: 1000 (Optional)
Config Param: PRODUCER_PENDING_QUEUE_SIZE
Since Version: 0.11.0

hoodie.write.commit.callback.pulsar.producer.route-mode

Message routing logic for producers on partitioned topics.
Default Value: RoundRobinPartition (Optional)
Config Param: PRODUCER_ROUTE_MODE
Since Version: 0.11.0

hoodie.write.commit.callback.pulsar.connection-timeout

Duration of waiting for a connection to a broker to be established.
Default Value: 10s (Optional)
Config Param: CONNECTION_TIMEOUT
Since Version: 0.11.0

Write commit Kafka callback configs

Controls notifications sent to Kafka, on events happening to a hudi table.

Config Class: org.apache.hudi.utilities.callback.kafka.HoodieWriteCommitKafkaCallbackConfig

hoodie.write.commit.callback.kafka.topic

Kafka topic name to publish timeline activity into.
Default Value: N/A (Required)
Config Param: TOPIC
Since Version: 0.7.0

hoodie.write.commit.callback.kafka.partition

It may be desirable to serialize all changes into a single Kafka partition for providing strict ordering. By default, Kafka messages are keyed by table name, which guarantees ordering at the table level, but not globally (or when new partitions are added)
Default Value: N/A (Required)
Config Param: PARTITION
Since Version: 0.7.0

hoodie.write.commit.callback.kafka.retries

Times to retry the produce. 3 by default
Default Value: 3 (Optional)
Config Param: RETRIES
Since Version: 0.7.0

hoodie.write.commit.callback.kafka.acks

kafka acks level, all by default to ensure strong durability.
Default Value: all (Optional)
Config Param: ACKS
Since Version: 0.7.0

hoodie.write.commit.callback.kafka.bootstrap.servers

Bootstrap servers of kafka cluster, to be used for publishing commit metadata.
Default Value: N/A (Required)
Config Param: BOOTSTRAP_SERVERS
Since Version: 0.7.0

Locks Configurations

Configs that control locking mechanisms required for concurrency control between writers to a Hudi table. Concurrency between Hudi's own table services are auto managed internally.

Config Class: org.apache.hudi.config.HoodieLockConfig

hoodie.write.lock.zookeeper.base_path

The base path on Zookeeper under which to create lock related ZNodes. This should be same for all concurrent writers to the same table
Default Value: N/A (Required)
Config Param: ZK_BASE_PATH
Since Version: 0.8.0

hoodie.write.lock.zookeeper.lock_key

Key name under base_path at which to create a ZNode and acquire lock. Final path on zk will look like base_path/lock_key. If this parameter is not set, we would set it as the table name
Default Value: N/A (Required)
Config Param: ZK_LOCK_KEY
Since Version: 0.8.0

hoodie.write.lock.client.num_retries

Maximum number of times to retry to acquire lock additionally from the lock manager.
Default Value: 10 (Optional)
Config Param: LOCK_ACQUIRE_CLIENT_NUM_RETRIES
Since Version: 0.8.0

hoodie.write.lock.wait_time_ms_between_retry

Initial amount of time to wait between retries to acquire locks, subsequent retries will exponentially backoff.
Default Value: 1000 (Optional)
Config Param: LOCK_ACQUIRE_RETRY_WAIT_TIME_IN_MILLIS
Since Version: 0.8.0

hoodie.write.lock.num_retries

Maximum number of times to retry lock acquire, at each lock provider
Default Value: 15 (Optional)
Config Param: LOCK_ACQUIRE_NUM_RETRIES
Since Version: 0.8.0

hoodie.write.lock.wait_time_ms

Timeout in ms, to wait on an individual lock acquire() call, at the lock provider.
Default Value: 60000 (Optional)
Config Param: LOCK_ACQUIRE_WAIT_TIMEOUT_MS
Since Version: 0.8.0

hoodie.write.lock.zookeeper.connection_timeout_ms

Timeout in ms, to wait for establishing connection with Zookeeper.
Default Value: 15000 (Optional)
Config Param: ZK_CONNECTION_TIMEOUT_MS
Since Version: 0.8.0

hoodie.write.lock.zookeeper.port

Zookeeper port to connect to.
Default Value: N/A (Required)
Config Param: ZK_PORT
Since Version: 0.8.0

hoodie.write.lock.hivemetastore.table

For Hive based lock provider, the Hive table to acquire lock against
Default Value: N/A (Required)
Config Param: HIVE_TABLE_NAME
Since Version: 0.8.0

hoodie.write.lock.zookeeper.url

Zookeeper URL to connect to.
Default Value: N/A (Required)
Config Param: ZK_CONNECT_URL
Since Version: 0.8.0

hoodie.write.lock.filesystem.path

For DFS based lock providers, path to store the locks under.
Default Value: N/A (Required)
Config Param: FILESYSTEM_LOCK_PATH
Since Version: 0.8.0

hoodie.write.lock.provider

Lock provider class name, user can provide their own implementation of LockProvider which should be subclass of org.apache.hudi.common.lock.LockProvider
Default Value: org.apache.hudi.client.transaction.lock.ZookeeperBasedLockProvider (Optional)
Config Param: LOCK_PROVIDER_CLASS_NAME
Since Version: 0.8.0

hoodie.write.lock.zookeeper.session_timeout_ms

Timeout in ms, to wait after losing connection to ZooKeeper, before the session is expired
Default Value: 60000 (Optional)
Config Param: ZK_SESSION_TIMEOUT_MS
Since Version: 0.8.0

hoodie.write.lock.conflict.resolution.strategy

Lock provider class name, this should be subclass of org.apache.hudi.client.transaction.ConflictResolutionStrategy
Default Value: org.apache.hudi.client.transaction.SimpleConcurrentFileWritesConflictResolutionStrategy (Optional)
Config Param: WRITE_CONFLICT_RESOLUTION_STRATEGY_CLASS_NAME
Since Version: 0.8.0

hoodie.write.lock.hivemetastore.database

For Hive based lock provider, the Hive database to acquire lock against
Default Value: N/A (Required)
Config Param: HIVE_DATABASE_NAME
Since Version: 0.8.0

hoodie.write.lock.hivemetastore.uris

For Hive based lock provider, the Hive metastore URI to acquire locks against.
Default Value: N/A (Required)
Config Param: HIVE_METASTORE_URI
Since Version: 0.8.0

hoodie.write.lock.max_wait_time_ms_between_retry

Maximum amount of time to wait between retries by lock provider client. This bounds the maximum delay from the exponential backoff. Currently used by ZK based lock provider only.
Default Value: 5000 (Optional)
Config Param: LOCK_ACQUIRE_RETRY_MAX_WAIT_TIME_IN_MILLIS
Since Version: 0.8.0

hoodie.write.lock.client.wait_time_ms_between_retry

Amount of time to wait between retries on the lock provider by the lock manager
Default Value: 10000 (Optional)
Config Param: LOCK_ACQUIRE_CLIENT_RETRY_WAIT_TIME_IN_MILLIS
Since Version: 0.8.0

Compaction Configs

Configurations that control compaction (merging of log files onto a new base files) as well as cleaning (reclamation of older/unused file groups/slices).

Config Class: org.apache.hudi.config.HoodieCompactionConfig

hoodie.compaction.payload.class

This needs to be same as class used during insert/upserts. Just like writing, compaction also uses the record payload class to merge records in the log against each other, merge again with the base file and produce the final record to be written after compaction.
Default Value: org.apache.hudi.common.model.OverwriteWithLatestAvroPayload (Optional)
Config Param: PAYLOAD_CLASS_NAME

hoodie.copyonwrite.record.size.estimate

The average record size. If not explicitly specified, hudi will compute the record size estimate compute dynamically based on commit metadata. This is critical in computing the insert parallelism and bin-packing inserts into small files.
Default Value: 1024 (Optional)
Config Param: COPY_ON_WRITE_RECORD_SIZE_ESTIMATE

hoodie.cleaner.policy

Cleaning policy to be used. The cleaner service deletes older file slices files to re-claim space. By default, cleaner spares the file slices written by the last N commits, determined by hoodie.cleaner.commits.retained Long running query plans may often refer to older file slices and will break if those are cleaned, before the query has had a chance to run. So, it is good to make sure that the data is retained for more than the maximum query execution time
Default Value: KEEP_LATEST_COMMITS (Optional)
Config Param: CLEANER_POLICY

hoodie.compact.inline.max.delta.seconds

Number of elapsed seconds after the last compaction, before scheduling a new one.
Default Value: 3600 (Optional)
Config Param: INLINE_COMPACT_TIME_DELTA_SECONDS

hoodie.cleaner.delete.bootstrap.base.file

When set to true, cleaner also deletes the bootstrap base file when it's skeleton base file is cleaned. Turn this to true, if you want to ensure the bootstrap dataset storage is reclaimed over time, as the table receives updates/deletes. Another reason to turn this on, would be to ensure data residing in bootstrap base files are also physically deleted, to comply with data privacy enforcement processes.
Default Value: false (Optional)
Config Param: CLEANER_BOOTSTRAP_BASE_FILE_ENABLE

hoodie.archive.merge.enable

When enable, hoodie will auto merge several small archive files into larger one. It's useful when storage scheme doesn't support append operation.
Default Value: false (Optional)
Config Param: ARCHIVE_MERGE_ENABLE

hoodie.cleaner.commits.retained

Number of commits to retain, without cleaning. This will be retained for num_of_commits * time_between_commits (scheduled). This also directly translates into how much data retention the table supports for incremental queries.
Default Value: 10 (Optional)
Config Param: CLEANER_COMMITS_RETAINED

hoodie.cleaner.policy.failed.writes

Cleaning policy for failed writes to be used. Hudi will delete any files written by failed writes to re-claim space. Choose to perform this rollback of failed writes eagerly before every writer starts (only supported for single writer) or lazily by the cleaner (required for multi-writers)
Default Value: EAGER (Optional)
Config Param: FAILED_WRITES_CLEANER_POLICY

hoodie.compaction.logfile.size.threshold

Only if the log file size is greater than the threshold in bytes, the file group will be compacted.
Default Value: 0 (Optional)
Config Param: COMPACTION_LOG_FILE_SIZE_THRESHOLD

hoodie.clean.async

Only applies when hoodie.clean.automatic is turned on. When turned on runs cleaner async with writing, which can speed up overall write performance.
Default Value: false (Optional)
Config Param: ASYNC_CLEAN

hoodie.clean.automatic

When enabled, the cleaner table service is invoked immediately after each commit, to delete older file slices. It's recommended to enable this, to ensure metadata and data storage growth is bounded.
Default Value: true (Optional)
Config Param: AUTO_CLEAN

hoodie.commits.archival.batch

Archiving of instants is batched in best-effort manner, to pack more instants into a single archive log. This config controls such archival batch size.
Default Value: 10 (Optional)
Config Param: COMMITS_ARCHIVAL_BATCH_SIZE

hoodie.compaction.reverse.log.read

HoodieLogFormatReader reads a logfile in the forward direction starting from pos=0 to pos=file_length. If this config is set to true, the reader reads the logfile in reverse direction, from pos=file_length to pos=0
Default Value: false (Optional)
Config Param: COMPACTION_REVERSE_LOG_READ_ENABLE

hoodie.clean.allow.multiple

Allows scheduling/executing multiple cleans by enabling this config. If users prefer to strictly ensure clean requests should be mutually exclusive, .i.e. a 2nd clean will not be scheduled if another clean is not yet completed to avoid repeat cleaning of same files, they might want to disable this config.
Default Value: true (Optional)
Config Param: ALLOW_MULTIPLE_CLEANS
Since Version: 0.11.0

hoodie.archive.merge.small.file.limit.bytes

This config sets the archive file size limit below which an archive file becomes a candidate to be selected as such a small file.
Default Value: 20971520 (Optional)
Config Param: ARCHIVE_MERGE_SMALL_FILE_LIMIT_BYTES

hoodie.cleaner.fileversions.retained

When KEEP_LATEST_FILE_VERSIONS cleaning policy is used, the minimum number of file slices to retain in each file group, during cleaning.
Default Value: 3 (Optional)
Config Param: CLEANER_FILE_VERSIONS_RETAINED

hoodie.compact.inline

When set to true, compaction service is triggered after each write. While being simpler operationally, this adds extra latency on the write path.
Default Value: false (Optional)
Config Param: INLINE_COMPACT

hoodie.clean.max.commits

Number of commits after the last clean operation, before scheduling of a new clean is attempted.
Default Value: 1 (Optional)
Config Param: CLEAN_MAX_COMMITS

hoodie.compaction.lazy.block.read

When merging the delta log files, this config helps to choose whether the log blocks should be read lazily or not. Choose true to use lazy block reading (low memory usage, but incurs seeks to each block header) or false for immediate block read (higher memory usage)
Default Value: true (Optional)
Config Param: COMPACTION_LAZY_BLOCK_READ_ENABLE

hoodie.archive.merge.files.batch.size

The number of small archive files to be merged at once.
Default Value: 10 (Optional)
Config Param: ARCHIVE_MERGE_FILES_BATCH_SIZE

hoodie.archive.async

Only applies when hoodie.archive.automatic is turned on. When turned on runs archiver async with writing, which can speed up overall write performance.
Default Value: false (Optional)
Config Param: ASYNC_ARCHIVE
Since Version: 0.11.0

hoodie.parquet.small.file.limit

During upsert operation, we opportunistically expand existing small files on storage, instead of writing new files, to keep number of files to an optimum. This config sets the file size limit below which a file on storage becomes a candidate to be selected as such a small file. By default, treat any file <= 100MB as a small file. Also note that if this set <= 0, will not try to get small files and directly write new files
Default Value: 104857600 (Optional)
Config Param: PARQUET_SMALL_FILE_LIMIT

hoodie.compaction.strategy

Compaction strategy decides which file groups are picked up for compaction during each compaction run. By default. Hudi picks the log file with most accumulated unmerged data
Default Value: org.apache.hudi.table.action.compact.strategy.LogFileSizeBasedCompactionStrategy (Optional)
Config Param: COMPACTION_STRATEGY

hoodie.cleaner.hours.retained

Number of hours for which commits need to be retained. This config provides a more flexible option ascompared to number of commits retained for cleaning service. Setting this property ensures all the files, but the latest in a file group, corresponding to commits with commit times older than the configured number of hours to be retained are cleaned.
Default Value: 24 (Optional)
Config Param: CLEANER_HOURS_RETAINED

hoodie.compaction.target.io

Amount of MBs to spend during compaction run for the LogFileSizeBasedCompactionStrategy. This value helps bound ingestion latency while compaction is run inline mode.
Default Value: 512000 (Optional)
Config Param: TARGET_IO_PER_COMPACTION_IN_MB

hoodie.archive.automatic

When enabled, the archival table service is invoked immediately after each commit, to archive commits if we cross a maximum value of commits. It's recommended to enable this, to ensure number of active commits is bounded.
Default Value: true (Optional)
Config Param: AUTO_ARCHIVE

hoodie.clean.trigger.strategy

Controls how cleaning is scheduled. Valid options: NUM_COMMITS
Default Value: NUM_COMMITS (Optional)
Config Param: CLEAN_TRIGGER_STRATEGY

hoodie.compaction.preserve.commit.metadata

When rewriting data, preserves existing hoodie_commit_time
Default Value: true (Optional)
Config Param: PRESERVE_COMMIT_METADATA
Since Version: 0.11.0

hoodie.copyonwrite.insert.auto.split

Config to control whether we control insert split sizes automatically based on average record sizes. It's recommended to keep this turned on, since hand tuning is otherwise extremely cumbersome.
Default Value: true (Optional)
Config Param: COPY_ON_WRITE_AUTO_SPLIT_INSERTS

hoodie.compact.inline.max.delta.commits

Number of delta commits after the last compaction, before scheduling of a new compaction is attempted.
Default Value: 5 (Optional)
Config Param: INLINE_COMPACT_NUM_DELTA_COMMITS

hoodie.keep.min.commits

Similar to hoodie.keep.max.commits, but controls the minimum number ofinstants to retain in the active timeline.
Default Value: 20 (Optional)
Config Param: MIN_COMMITS_TO_KEEP

hoodie.cleaner.parallelism

Parallelism for the cleaning operation. Increase this if cleaning becomes slow.
Default Value: 200 (Optional)
Config Param: CLEANER_PARALLELISM_VALUE

hoodie.cleaner.incremental.mode

When enabled, the plans for each cleaner service run is computed incrementally off the events in the timeline, since the last cleaner run. This is much more efficient than obtaining listings for the full table for each planning (even with a metadata table).
Default Value: true (Optional)
Config Param: CLEANER_INCREMENTAL_MODE_ENABLE

hoodie.record.size.estimation.threshold

We use the previous commits' metadata to calculate the estimated record size and use it to bin pack records into partitions. If the previous commit is too small to make an accurate estimation, Hudi will search commits in the reverse order, until we find a commit that has totalBytesWritten larger than (PARQUET_SMALL_FILE_LIMIT_BYTES * this_threshold)
Default Value: 1.0 (Optional)
Config Param: RECORD_SIZE_ESTIMATION_THRESHOLD

hoodie.compact.inline.trigger.strategy

Controls how compaction scheduling is triggered, by time or num delta commits or combination of both. Valid options: NUM_COMMITS,TIME_ELAPSED,NUM_AND_TIME,NUM_OR_TIME
Default Value: NUM_COMMITS (Optional)
Config Param: INLINE_COMPACT_TRIGGER_STRATEGY

hoodie.keep.max.commits

Archiving service moves older entries from timeline into an archived log after each write, to keep the metadata overhead constant, even as the table size grows.This config controls the maximum number of instants to retain in the active timeline.
Default Value: 30 (Optional)
Config Param: MAX_COMMITS_TO_KEEP

hoodie.archive.delete.parallelism

Parallelism for deleting archived hoodie commits.
Default Value: 100 (Optional)
Config Param: DELETE_ARCHIVED_INSTANT_PARALLELISM_VALUE

hoodie.copyonwrite.insert.split.size

Number of inserts assigned for each partition/bucket for writing. We based the default on writing out 100MB files, with at least 1kb records (100K records per file), and over provision to 500K. As long as auto-tuning of splits is turned on, this only affects the first write, where there is no history to learn record sizes from.
Default Value: 500000 (Optional)
Config Param: COPY_ON_WRITE_INSERT_SPLIT_SIZE

hoodie.compact.schedule.inline

When set to true, compaction service will be attempted for inline scheduling after each write. Users have to ensure they have a separate job to run async compaction(execution) for the one scheduled by this writer. Users can choose to set both hoodie.compact.inline and hoodie.compact.schedule.inline to false and have both scheduling and execution triggered by any async process. But if hoodie.compact.inline is set to false, and hoodie.compact.schedule.inline is set to true, regular writers will schedule compaction inline, but users are expected to trigger async job for execution. If hoodie.compact.inline is set to true, regular writers will do both scheduling and execution inline for compaction
Default Value: false (Optional)
Config Param: SCHEDULE_INLINE_COMPACT

hoodie.compaction.daybased.target.partitions

Used by org.apache.hudi.io.compact.strategy.DayBasedCompactionStrategy to denote the number of latest partitions to compact during a compaction run.
Default Value: 10 (Optional)
Config Param: TARGET_PARTITIONS_PER_DAYBASED_COMPACTION

File System View Storage Configurations

Configurations that control how file metadata is stored by Hudi, for transaction processing and queries.

Config Class: org.apache.hudi.common.table.view.FileSystemViewStorageConfig

hoodie.filesystem.view.spillable.replaced.mem.fraction

Fraction of the file system view memory, to be used for holding replace commit related metadata.
Default Value: 0.01 (Optional)
Config Param: SPILLABLE_REPLACED_MEM_FRACTION

hoodie.filesystem.view.spillable.dir

Path on local storage to use, when file system view is held in a spillable map.
Default Value: /tmp/ (Optional)
Config Param: SPILLABLE_DIR

hoodie.filesystem.remote.backup.view.enable

Config to control whether backup needs to be configured if clients were not able to reach timeline service.
Default Value: true (Optional)
Config Param: REMOTE_BACKUP_VIEW_ENABLE

hoodie.filesystem.view.spillable.compaction.mem.fraction

Fraction of the file system view memory, to be used for holding compaction related metadata.
Default Value: 0.8 (Optional)
Config Param: SPILLABLE_COMPACTION_MEM_FRACTION

hoodie.filesystem.view.spillable.mem

Amount of memory to be used in bytes for holding file system view, before spilling to disk.
Default Value: 104857600 (Optional)
Config Param: SPILLABLE_MEMORY

hoodie.filesystem.view.secondary.type

Specifies the secondary form of storage for file system view, if the primary (e.g timeline server) is unavailable.
Default Value: MEMORY (Optional)
Config Param: SECONDARY_VIEW_TYPE

hoodie.filesystem.view.remote.host

We expect this to be rarely hand configured.
Default Value: localhost (Optional)
Config Param: REMOTE_HOST_NAME

hoodie.filesystem.view.type

File system view provides APIs for viewing the files on the underlying lake storage, as file groups and file slices. This config controls how such a view is held. Options include MEMORY,SPILLABLE_DISK,EMBEDDED_KV_STORE,REMOTE_ONLY,REMOTE_FIRST which provide different trade offs for memory usage and API request performance.
Default Value: MEMORY (Optional)
Config Param: VIEW_TYPE

hoodie.filesystem.view.remote.timeout.secs

Timeout in seconds, to wait for API requests against a remote file system view. e.g timeline server.
Default Value: 300 (Optional)
Config Param: REMOTE_TIMEOUT_SECS

hoodie.filesystem.view.remote.port

Port to serve file system view queries, when remote. We expect this to be rarely hand configured.
Default Value: 26754 (Optional)
Config Param: REMOTE_PORT_NUM

hoodie.filesystem.view.spillable.bootstrap.base.file.mem.fraction

Fraction of the file system view memory, to be used for holding mapping to bootstrap base files.
Default Value: 0.05 (Optional)
Config Param: BOOTSTRAP_BASE_FILE_MEM_FRACTION

hoodie.filesystem.view.spillable.clustering.mem.fraction

Fraction of the file system view memory, to be used for holding clustering related metadata.
Default Value: 0.01 (Optional)
Config Param: SPILLABLE_CLUSTERING_MEM_FRACTION

hoodie.filesystem.view.rocksdb.base.path

Path on local storage to use, when storing file system view in embedded kv store/rocksdb.
Default Value: /tmp/hoodie_timeline_rocksdb (Optional)
Config Param: ROCKSDB_BASE_PATH

hoodie.filesystem.view.incr.timeline.sync.enable

Controls whether or not, the file system view is incrementally updated as new actions are performed on the timeline.
Default Value: false (Optional)
Config Param: INCREMENTAL_TIMELINE_SYNC_ENABLE

Index Configs

Configurations that control indexing behavior, which tags incoming records as either inserts or updates to older records.

Config Class: org.apache.hudi.config.HoodieIndexConfig

hoodie.index.bloom.num_entries

Only applies if index type is BLOOM. This is the number of entries to be stored in the bloom filter. The rationale for the default: Assume the maxParquetFileSize is 128MB and averageRecordSize is 1kb and hence we approx a total of 130K records in a file. The default (60000) is roughly half of this approximation. Warning: Setting this very low, will generate a lot of false positives and index lookup will have to scan a lot more files than it has to and setting this to a very high number will increase the size every base file linearly (roughly 4KB for every 50000 entries). This config is also used with DYNAMIC bloom filter which determines the initial size for the bloom.
Default Value: 60000 (Optional)
Config Param: BLOOM_FILTER_NUM_ENTRIES_VALUE

hoodie.bloom.index.keys.per.bucket

Only applies if bloomIndexBucketizedChecking is enabled and index type is bloom. This configuration controls the “bucket” size which tracks the number of record-key checks made against a single file and is the unit of work allocated to each partition performing bloom filter lookup. A higher value would amortize the fixed cost of reading a bloom filter to memory.
Default Value: 10000000 (Optional)
Config Param: BLOOM_INDEX_KEYS_PER_BUCKET

hoodie.simple.index.input.storage.level

Only applies when #simpleIndexUseCaching is set. Determine what level of persistence is used to cache input RDDs. Refer to org.apache.spark.storage.StorageLevel for different values
Default Value: MEMORY_AND_DISK_SER (Optional)
Config Param: SIMPLE_INDEX_INPUT_STORAGE_LEVEL_VALUE

hoodie.simple.index.parallelism

Only applies if index type is SIMPLE. This is the amount of parallelism for index lookup, which involves a Spark Shuffle
Default Value: 100 (Optional)
Config Param: SIMPLE_INDEX_PARALLELISM

hoodie.global.simple.index.parallelism

Only applies if index type is GLOBAL_SIMPLE. This is the amount of parallelism for index lookup, which involves a Spark Shuffle
Default Value: 100 (Optional)
Config Param: GLOBAL_SIMPLE_INDEX_PARALLELISM

hoodie.simple.index.update.partition.path

Similar to Key: 'hoodie.bloom.index.update.partition.path' , default: true description: Only applies if index type is GLOBAL_BLOOM. When set to true, an update including the partition path of a record that already exists will result in inserting the incoming record into the new partition and deleting the original record in the old partition. When set to false, the original record will only be updated in the old partition since version: version is not defined deprecated after: version is not defined), but for simple index.
Default Value: true (Optional)
Config Param: SIMPLE_INDEX_UPDATE_PARTITION_PATH_ENABLE

hoodie.bucket.index.num.buckets

Only applies if index type is BUCKET_INDEX. Determine the number of buckets in the hudi table, and each partition is divided to N buckets.
Default Value: 256 (Optional)
Config Param: BUCKET_INDEX_NUM_BUCKETS

hoodie.bucket.index.hash.field

Index key. It is used to index the record and find its file group. If not set, use record key field as default
Default Value: N/A (Required)
Config Param: BUCKET_INDEX_HASH_FIELD

hoodie.bloom.index.use.metadata

Only applies if index type is BLOOM.When true, the index lookup uses bloom filters and column stats from metadata table when available to speed up the process.
Default Value: false (Optional)
Config Param: BLOOM_INDEX_USE_METADATA
Since Version: 0.11.0

hoodie.bloom.index.bucketized.checking

Only applies if index type is BLOOM. When true, bucketized bloom filtering is enabled. This reduces skew seen in sort based bloom index lookup
Default Value: true (Optional)
Config Param: BLOOM_INDEX_BUCKETIZED_CHECKING

hoodie.index.type

Type of index to use. Default is SIMPLE on Spark engine and INMEMORY on Flink and Java engines. Possible options are [BLOOM | GLOBAL_BLOOM |SIMPLE | GLOBAL_SIMPLE | INMEMORY | HBASE | BUCKET]. Bloom filters removes the dependency on a external system and is stored in the footer of the Parquet Data Files
Default Value: N/A (Required)
Config Param: INDEX_TYPE

hoodie.index.bloom.fpp

Only applies if index type is BLOOM. Error rate allowed given the number of entries. This is used to calculate how many bits should be assigned for the bloom filter and the number of hash functions. This is usually set very low (default: 0.000000001), we like to tradeoff disk space for lower false positives. If the number of entries added to bloom filter exceeds the configured value (hoodie.index.bloom.num_entries), then this fpp may not be honored.
Default Value: 0.000000001 (Optional)
Config Param: BLOOM_FILTER_FPP_VALUE

hoodie.bloom.index.update.partition.path

Only applies if index type is GLOBAL_BLOOM. When set to true, an update including the partition path of a record that already exists will result in inserting the incoming record into the new partition and deleting the original record in the old partition. When set to false, the original record will only be updated in the old partition
Default Value: true (Optional)
Config Param: BLOOM_INDEX_UPDATE_PARTITION_PATH_ENABLE

hoodie.bloom.index.use.caching

Only applies if index type is BLOOM.When true, the input RDD will cached to speed up index lookup by reducing IO for computing parallelism or affected partitions
Default Value: true (Optional)
Config Param: BLOOM_INDEX_USE_CACHING

hoodie.bloom.index.input.storage.level

Only applies when #bloomIndexUseCaching is set. Determine what level of persistence is used to cache input RDDs. Refer to org.apache.spark.storage.StorageLevel for different values
Default Value: MEMORY_AND_DISK_SER (Optional)
Config Param: BLOOM_INDEX_INPUT_STORAGE_LEVEL_VALUE

hoodie.bloom.index.use.treebased.filter

Only applies if index type is BLOOM. When true, interval tree based file pruning optimization is enabled. This mode speeds-up file-pruning based on key ranges when compared with the brute-force mode
Default Value: true (Optional)
Config Param: BLOOM_INDEX_TREE_BASED_FILTER

hoodie.bloom.index.parallelism

Only applies if index type is BLOOM. This is the amount of parallelism for index lookup, which involves a shuffle. By default, this is auto computed based on input workload characteristics.
Default Value: 0 (Optional)
Config Param: BLOOM_INDEX_PARALLELISM

hoodie.bloom.index.filter.dynamic.max.entries

The threshold for the maximum number of keys to record in a dynamic Bloom filter row. Only applies if filter type is BloomFilterTypeCode.DYNAMIC_V0.
Default Value: 100000 (Optional)
Config Param: BLOOM_INDEX_FILTER_DYNAMIC_MAX_ENTRIES

hoodie.simple.index.use.caching

Only applies if index type is SIMPLE. When true, the incoming writes will cached to speed up index lookup by reducing IO for computing parallelism or affected partitions
Default Value: true (Optional)
Config Param: SIMPLE_INDEX_USE_CACHING

hoodie.bloom.index.prune.by.ranges

Only applies if index type is BLOOM. When true, range information from files to leveraged speed up index lookups. Particularly helpful, if the key has a monotonously increasing prefix, such as timestamp. If the record key is completely random, it is better to turn this off, since range pruning will only add extra overhead to the index lookup.
Default Value: true (Optional)
Config Param: BLOOM_INDEX_PRUNE_BY_RANGES

hoodie.bloom.index.filter.type

Filter type used. Default is BloomFilterTypeCode.DYNAMIC_V0. Available values are [BloomFilterTypeCode.SIMPLE , BloomFilterTypeCode.DYNAMIC_V0]. Dynamic bloom filters auto size themselves based on number of keys.
Default Value: DYNAMIC_V0 (Optional)
Config Param: BLOOM_FILTER_TYPE

hoodie.index.class

Full path of user-defined index class and must be a subclass of HoodieIndex class. It will take precedence over the hoodie.index.type configuration if specified
Default Value: (Optional)
Config Param: INDEX_CLASS_NAME

Clustering Configs

Configurations that control the clustering table service in hudi, which optimizes the storage layout for better query performance by sorting and sizing data files.

Config Class: org.apache.hudi.config.HoodieClusteringConfig

hoodie.clustering.plan.strategy.cluster.end.partition

End partition used to filter partition (inclusive), only effective when the filter mode 'hoodie.clustering.plan.partition.filter.mode' is SELECTED_PARTITIONS
Default Value: N/A (Required)
Config Param: PARTITION_FILTER_END_PARTITION
Since Version: 0.11.0

hoodie.clustering.rollback.pending.replacecommit.on.conflict

If updates are allowed to file groups pending clustering, then set this config to rollback failed or pending clustering instants. Pending clustering will be rolled back ONLY IF there is conflict between incoming upsert and filegroup to be clustered. Please exercise caution while setting this config, especially when clustering is done very frequently. This could lead to race condition in rare scenarios, for example, when the clustering completes after instants are fetched but before rollback completed.
Default Value: false (Optional)
Config Param: ROLLBACK_PENDING_CLUSTERING_ON_CONFLICT
Since Version: 0.10.0

hoodie.clustering.async.max.commits

Config to control frequency of async clustering
Default Value: 4 (Optional)
Config Param: ASYNC_CLUSTERING_MAX_COMMITS
Since Version: 0.9.0

hoodie.clustering.inline.max.commits

Config to control frequency of clustering planning
Default Value: 4 (Optional)
Config Param: INLINE_CLUSTERING_MAX_COMMITS
Since Version: 0.7.0

hoodie.layout.optimize.enable

This setting has no effect. Please refer to clustering configuration, as well as LAYOUT_OPTIMIZE_STRATEGY config to enable advanced record layout optimization strategies
Default Value: false (Optional)
Config Param: LAYOUT_OPTIMIZE_ENABLE
Since Version: 0.10.0
Deprecated Version: 0.11.0

hoodie.clustering.plan.strategy.target.file.max.bytes

Each group can produce 'N' (CLUSTERING_MAX_GROUP_SIZE/CLUSTERING_TARGET_FILE_SIZE) output file groups
Default Value: 1073741824 (Optional)
Config Param: PLAN_STRATEGY_TARGET_FILE_MAX_BYTES
Since Version: 0.7.0

hoodie.clustering.plan.strategy.daybased.skipfromlatest.partitions

Number of partitions to skip from latest when choosing partitions to create ClusteringPlan
Default Value: 0 (Optional)
Config Param: PLAN_STRATEGY_SKIP_PARTITIONS_FROM_LATEST
Since Version: 0.9.0

hoodie.clustering.execution.strategy.class

Config to provide a strategy class (subclass of RunClusteringStrategy) to define how the clustering plan is executed. By default, we sort the file groups in th plan by the specified columns, while meeting the configured target file sizes.
Default Value: org.apache.hudi.client.clustering.run.strategy.SparkSortAndSizeExecutionStrategy (Optional)
Config Param: EXECUTION_STRATEGY_CLASS_NAME
Since Version: 0.7.0

hoodie.clustering.async.enabled

Enable running of clustering service, asynchronously as inserts happen on the table.
Default Value: false (Optional)
Config Param: ASYNC_CLUSTERING_ENABLE
Since Version: 0.7.0

hoodie.clustering.plan.strategy.class

Config to provide a strategy class (subclass of ClusteringPlanStrategy) to create clustering plan i.e select what file groups are being clustered. Default strategy, looks at the clustering small file size limit (determined by hoodie.clustering.plan.strategy.small.file.limit) to pick the small file slices within partitions for clustering.
Default Value: org.apache.hudi.client.clustering.plan.strategy.SparkSizeBasedClusteringPlanStrategy (Optional)
Config Param: PLAN_STRATEGY_CLASS_NAME
Since Version: 0.7.0

hoodie.layout.optimize.build.curve.sample.size

Determines target sample size used by the Boundary-based Interleaved Index method of building space-filling curve. Larger sample size entails better layout optimization outcomes, at the expense of higher memory footprint.
Default Value: 200000 (Optional)
Config Param: LAYOUT_OPTIMIZE_BUILD_CURVE_SAMPLE_SIZE
Since Version: 0.10.0

hoodie.clustering.plan.strategy.partition.selected

Partitions to run clustering
Default Value: N/A (Required)
Config Param: PARTITION_SELECTED
Since Version: 0.11.0

hoodie.clustering.updates.strategy

Determines how to handle updates, deletes to file groups that are under clustering. Default strategy just rejects the update
Default Value: org.apache.hudi.client.clustering.update.strategy.SparkRejectUpdateStrategy (Optional)
Config Param: UPDATES_STRATEGY
Since Version: 0.7.0

hoodie.layout.optimize.strategy

Determines ordering strategy used in records layout optimization. Currently supported strategies are "linear", "z-order" and "hilbert" values are supported.
Default Value: linear (Optional)
Config Param: LAYOUT_OPTIMIZE_STRATEGY
Since Version: 0.10.0

hoodie.clustering.inline

Turn on inline clustering - clustering will be run after each write operation is complete
Default Value: false (Optional)
Config Param: INLINE_CLUSTERING
Since Version: 0.7.0

hoodie.clustering.plan.strategy.cluster.begin.partition

Begin partition used to filter partition (inclusive), only effective when the filter mode 'hoodie.clustering.plan.partition.filter.mode' is SELECTED_PARTITIONS
Default Value: N/A (Required)
Config Param: PARTITION_FILTER_BEGIN_PARTITION
Since Version: 0.11.0

hoodie.clustering.plan.strategy.sort.columns

Columns to sort the data by when clustering
Default Value: N/A (Required)
Config Param: PLAN_STRATEGY_SORT_COLUMNS
Since Version: 0.7.0

hoodie.clustering.preserve.commit.metadata

When rewriting data, preserves existing hoodie_commit_time
Default Value: true (Optional)
Config Param: PRESERVE_COMMIT_METADATA
Since Version: 0.9.0

hoodie.clustering.plan.strategy.max.num.groups

Maximum number of groups to create as part of ClusteringPlan. Increasing groups will increase parallelism
Default Value: 30 (Optional)
Config Param: PLAN_STRATEGY_MAX_GROUPS
Since Version: 0.7.0

hoodie.clustering.plan.partition.filter.mode

Partition filter mode used in the creation of clustering plan. Available values are - NONE: do not filter table partition and thus the clustering plan will include all partitions that have clustering candidate.RECENT_DAYS: keep a continuous range of partitions, worked together with configs 'hoodie.clustering.plan.strategy.daybased.lookback.partitions' and 'hoodie.clustering.plan.strategy.daybased.skipfromlatest.partitions.SELECTED_PARTITIONS: keep partitions that are in the specified range ['hoodie.clustering.plan.strategy.cluster.begin.partition', 'hoodie.clustering.plan.strategy.cluster.end.partition'].
Default Value: NONE (Optional)
Config Param: PLAN_PARTITION_FILTER_MODE_NAME
Since Version: 0.11.0

hoodie.clustering.schedule.inline

When set to true, clustering service will be attempted for inline scheduling after each write. Users have to ensure they have a separate job to run async clustering(execution) for the one scheduled by this writer. Users can choose to set both hoodie.clustering.inline and hoodie.clustering.schedule.inline to false and have both scheduling and execution triggered by any async process, on which case hoodie.clustering.async.enabled is expected to be set to true. But if hoodie.clustering.inline is set to false, and hoodie.clustering.schedule.inline is set to true, regular writers will schedule clustering inline, but users are expected to trigger async job for execution. If hoodie.clustering.inline is set to true, regular writers will do both scheduling and execution inline for clustering
Default Value: false (Optional)
Config Param: SCHEDULE_INLINE_CLUSTERING

hoodie.layout.optimize.data.skipping.enable

Enable data skipping by collecting statistics once layout optimization is complete.
Default Value: true (Optional)
Config Param: LAYOUT_OPTIMIZE_DATA_SKIPPING_ENABLE
Since Version: 0.10.0
Deprecated Version: 0.11.0

hoodie.clustering.plan.strategy.max.bytes.per.group

Each clustering operation can create multiple output file groups. Total amount of data processed by clustering operation is defined by below two properties (CLUSTERING_MAX_BYTES_PER_GROUP * CLUSTERING_MAX_NUM_GROUPS). Max amount of data to be included in one group
Default Value: 2147483648 (Optional)
Config Param: PLAN_STRATEGY_MAX_BYTES_PER_OUTPUT_FILEGROUP
Since Version: 0.7.0

hoodie.clustering.plan.strategy.small.file.limit

Files smaller than the size in bytes specified here are candidates for clustering
Default Value: 314572800 (Optional)
Config Param: PLAN_STRATEGY_SMALL_FILE_LIMIT
Since Version: 0.7.0

hoodie.layout.optimize.curve.build.method

Controls how data is sampled to build the space-filling curves. Two methods: "direct", "sample". The direct method is faster than the sampling, however sample method would produce a better data layout.
Default Value: direct (Optional)
Config Param: LAYOUT_OPTIMIZE_SPATIAL_CURVE_BUILD_METHOD
Since Version: 0.10.0

hoodie.clustering.plan.strategy.partition.regex.pattern

Filter clustering partitions that matched regex pattern
Default Value: N/A (Required)
Config Param: PARTITION_REGEX_PATTERN
Since Version: 0.11.0

hoodie.clustering.plan.strategy.daybased.lookback.partitions

Number of partitions to list to create ClusteringPlan
Default Value: 2 (Optional)
Config Param: DAYBASED_LOOKBACK_PARTITIONS
Since Version: 0.7.0

Common Configurations

The following set of configurations are common across Hudi.

Config Class: org.apache.hudi.common.config.HoodieCommonConfig

hoodie.common.diskmap.compression.enabled

Turn on compression for BITCASK disk map used by the External Spillable Map
Default Value: true (Optional)
Config Param: DISK_MAP_BITCASK_COMPRESSION_ENABLED

hoodie.common.spillable.diskmap.type

When handling input data that cannot be held in memory, to merge with a file on storage, a spillable diskmap is employed. By default, we use a persistent hashmap based loosely on bitcask, that offers O(1) inserts, lookups. Change this to ROCKS_DB to prefer using rocksDB, for handling the spill.
Default Value: BITCASK (Optional)
Config Param: SPILLABLE_DISK_MAP_TYPE

Bootstrap Configs

Configurations that control how you want to bootstrap your existing tables for the first time into hudi. The bootstrap operation can flexibly avoid copying data over before you can use Hudi and support running the existing writers and new hudi writers in parallel, to validate the migration.

Config Class: org.apache.hudi.config.HoodieBootstrapConfig

hoodie.bootstrap.partitionpath.translator.class

Translates the partition paths from the bootstrapped data into how is laid out as a Hudi table.
Default Value: org.apache.hudi.client.bootstrap.translator.IdentityBootstrapPartitionPathTranslator (Optional)
Config Param: PARTITION_PATH_TRANSLATOR_CLASS_NAME
Since Version: 0.6.0

hoodie.bootstrap.full.input.provider

Class to use for reading the bootstrap dataset partitions/files, for Bootstrap mode FULL_RECORD
Default Value: org.apache.hudi.bootstrap.SparkParquetBootstrapDataProvider (Optional)
Config Param: FULL_BOOTSTRAP_INPUT_PROVIDER_CLASS_NAME
Since Version: 0.6.0

hoodie.bootstrap.keygen.type

Type of build-in key generator, currently support SIMPLE, COMPLEX, TIMESTAMP, CUSTOM, NON_PARTITION, GLOBAL_DELETE
Default Value: SIMPLE (Optional)
Config Param: KEYGEN_TYPE
Since Version: 0.9.0

hoodie.bootstrap.keygen.class

Key generator implementation to be used for generating keys from the bootstrapped dataset
Default Value: N/A (Required)
Config Param: KEYGEN_CLASS_NAME
Since Version: 0.6.0

hoodie.bootstrap.parallelism

Parallelism value to be used to bootstrap data into hudi
Default Value: 1500 (Optional)
Config Param: PARALLELISM_VALUE
Since Version: 0.6.0

hoodie.bootstrap.base.path

Base path of the dataset that needs to be bootstrapped as a Hudi table
Default Value: N/A (Required)
Config Param: BASE_PATH
Since Version: 0.6.0

hoodie.bootstrap.mode.selector.regex

Matches each bootstrap dataset partition against this regex and applies the mode below to it.
Default Value: .* (Optional)
Config Param: PARTITION_SELECTOR_REGEX_PATTERN
Since Version: 0.6.0

hoodie.bootstrap.index.class

Implementation to use, for mapping a skeleton base file to a boostrap base file.
Default Value: org.apache.hudi.common.bootstrap.index.HFileBootstrapIndex (Optional)
Config Param: INDEX_CLASS_NAME
Since Version: 0.6.0

hoodie.bootstrap.mode.selector.regex.mode

Bootstrap mode to apply for partition paths, that match regex above. METADATA_ONLY will generate just skeleton base files with keys/footers, avoiding full cost of rewriting the dataset. FULL_RECORD will perform a full copy/rewrite of the data as a Hudi table.
Default Value: METADATA_ONLY (Optional)
Config Param: PARTITION_SELECTOR_REGEX_MODE
Since Version: 0.6.0

hoodie.bootstrap.mode.selector

Selects the mode in which each file/partition in the bootstrapped dataset gets bootstrapped
Default Value: org.apache.hudi.client.bootstrap.selector.MetadataOnlyBootstrapModeSelector (Optional)
Config Param: MODE_SELECTOR_CLASS_NAME
Since Version: 0.6.0

Metrics Configs

These set of configs are used to enable monitoring and reporting of keyHudi stats and metrics.

Metrics Configurations for Datadog reporter

Enables reporting on Hudi metrics using the Datadog reporter type. Hudi publishes metrics on every commit, clean, rollback etc.

Config Class: org.apache.hudi.config.metrics.HoodieMetricsDatadogConfig

hoodie.metrics.datadog.api.timeout.seconds

Datadog API timeout in seconds. Default to 3.
Default Value: 3 (Optional)
Config Param: API_TIMEOUT_IN_SECONDS
Since Version: 0.6.0

hoodie.metrics.datadog.metric.prefix

Datadog metric prefix to be prepended to each metric name with a dot as delimiter. For example, if it is set to foo, foo. will be prepended.
Default Value: N/A (Required)
Config Param: METRIC_PREFIX_VALUE
Since Version: 0.6.0

hoodie.metrics.datadog.api.site

Datadog API site: EU or US
Default Value: N/A (Required)
Config Param: API_SITE_VALUE
Since Version: 0.6.0

hoodie.metrics.datadog.api.key.skip.validation

Before sending metrics via Datadog API, whether to skip validating Datadog API key or not. Default to false.
Default Value: false (Optional)
Config Param: API_KEY_SKIP_VALIDATION
Since Version: 0.6.0

hoodie.metrics.datadog.metric.host

Datadog metric host to be sent along with metrics data.
Default Value: N/A (Required)
Config Param: METRIC_HOST_NAME
Since Version: 0.6.0

hoodie.metrics.datadog.report.period.seconds

Datadog reporting period in seconds. Default to 30.
Default Value: 30 (Optional)
Config Param: REPORT_PERIOD_IN_SECONDS
Since Version: 0.6.0

hoodie.metrics.datadog.api.key

Datadog API key
Default Value: N/A (Required)
Config Param: API_KEY
Since Version: 0.6.0

hoodie.metrics.datadog.api.key.supplier

Datadog API key supplier to supply the API key at runtime. This will take effect if hoodie.metrics.datadog.api.key is not set.
Default Value: N/A (Required)
Config Param: API_KEY_SUPPLIER
Since Version: 0.6.0

hoodie.metrics.datadog.metric.tags

Datadog metric tags (comma-delimited) to be sent along with metrics data.
Default Value: N/A (Required)
Config Param: METRIC_TAG_VALUES
Since Version: 0.6.0

Metrics Configurations

Enables reporting on Hudi metrics. Hudi publishes metrics on every commit, clean, rollback etc. The following sections list the supported reporters.

Config Class: org.apache.hudi.config.metrics.HoodieMetricsConfig

hoodie.metrics.executor.enable

Default Value: N/A (Required)
Config Param: EXECUTOR_METRICS_ENABLE
Since Version: 0.7.0

hoodie.metrics.reporter.metricsname.prefix

The prefix given to the metrics names.
Default Value: (Optional)
Config Param: METRICS_REPORTER_PREFIX
Since Version: 0.11.0

hoodie.metrics.reporter.type

Type of metrics reporter.
Default Value: GRAPHITE (Optional)
Config Param: METRICS_REPORTER_TYPE_VALUE
Since Version: 0.5.0

hoodie.metrics.reporter.class

Default Value: (Optional)
Config Param: METRICS_REPORTER_CLASS_NAME
Since Version: 0.6.0

hoodie.metrics.on

Turn on/off metrics reporting. off by default.
Default Value: false (Optional)
Config Param: TURN_METRICS_ON
Since Version: 0.5.0

Metrics Configurations for Jmx

Enables reporting on Hudi metrics using Jmx. Hudi publishes metrics on every commit, clean, rollback etc.

Config Class: org.apache.hudi.config.metrics.HoodieMetricsJmxConfig

hoodie.metrics.jmx.host

Jmx host to connect to
Default Value: localhost (Optional)
Config Param: JMX_HOST_NAME
Since Version: 0.5.1

hoodie.metrics.jmx.port

Jmx port to connect to
Default Value: 9889 (Optional)
Config Param: JMX_PORT_NUM
Since Version: 0.5.1

Metrics Configurations for Prometheus

Enables reporting on Hudi metrics using Prometheus. Hudi publishes metrics on every commit, clean, rollback etc.

Config Class: org.apache.hudi.config.metrics.HoodieMetricsPrometheusConfig

hoodie.metrics.pushgateway.random.job.name.suffix

Whether the pushgateway name need a random suffix , default true.
Default Value: true (Optional)
Config Param: PUSHGATEWAY_RANDOM_JOBNAME_SUFFIX
Since Version: 0.6.0

hoodie.metrics.pushgateway.port

Port for the push gateway.
Default Value: 9091 (Optional)
Config Param: PUSHGATEWAY_PORT_NUM
Since Version: 0.6.0

hoodie.metrics.pushgateway.delete.on.shutdown

Delete the pushgateway info or not when job shutdown, true by default.
Default Value: true (Optional)
Config Param: PUSHGATEWAY_DELETE_ON_SHUTDOWN_ENABLE
Since Version: 0.6.0

hoodie.metrics.prometheus.port

Port for prometheus server.
Default Value: 9090 (Optional)
Config Param: PROMETHEUS_PORT_NUM
Since Version: 0.6.0

hoodie.metrics.pushgateway.job.name

Name of the push gateway job.
Default Value: (Optional)
Config Param: PUSHGATEWAY_JOBNAME
Since Version: 0.6.0

hoodie.metrics.pushgateway.report.period.seconds

Reporting interval in seconds.
Default Value: 30 (Optional)
Config Param: PUSHGATEWAY_REPORT_PERIOD_IN_SECONDS
Since Version: 0.6.0

hoodie.metrics.pushgateway.host

Hostname of the prometheus push gateway.
Default Value: localhost (Optional)
Config Param: PUSHGATEWAY_HOST_NAME
Since Version: 0.6.0

Metrics Configurations for Amazon CloudWatch

Enables reporting on Hudi metrics using Amazon CloudWatch. Hudi publishes metrics on every commit, clean, rollback etc.

Config Class: org.apache.hudi.config.HoodieMetricsCloudWatchConfig

hoodie.metrics.cloudwatch.report.period.seconds

Reporting interval in seconds
Default Value: 60 (Optional)
Config Param: REPORT_PERIOD_SECONDS
Since Version: 0.10.0

hoodie.metrics.cloudwatch.namespace

Namespace of reporter
Default Value: Hudi (Optional)
Config Param: METRIC_NAMESPACE
Since Version: 0.10.0

hoodie.metrics.cloudwatch.metric.prefix

Metric prefix of reporter
Default Value: (Optional)
Config Param: METRIC_PREFIX
Since Version: 0.10.0

hoodie.metrics.cloudwatch.maxDatumsPerRequest

Max number of Datums per request
Default Value: 20 (Optional)
Config Param: MAX_DATUMS_PER_REQUEST
Since Version: 0.10.0

Metrics Configurations for Graphite

Enables reporting on Hudi metrics using Graphite. Hudi publishes metrics on every commit, clean, rollback etc.

Config Class: org.apache.hudi.config.metrics.HoodieMetricsGraphiteConfig

hoodie.metrics.graphite.port

Graphite port to connect to.
Default Value: 4756 (Optional)
Config Param: GRAPHITE_SERVER_PORT_NUM
Since Version: 0.5.0

hoodie.metrics.graphite.report.period.seconds

Graphite reporting period in seconds. Default to 30.
Default Value: 30 (Optional)
Config Param: GRAPHITE_REPORT_PERIOD_IN_SECONDS
Since Version: 0.10.0

hoodie.metrics.graphite.host

Graphite host to connect to.
Default Value: localhost (Optional)
Config Param: GRAPHITE_SERVER_HOST_NAME
Since Version: 0.5.0

hoodie.metrics.graphite.metric.prefix

Standard prefix applied to all metrics. This helps to add datacenter, environment information for e.g
Default Value: N/A (Required)
Config Param: GRAPHITE_METRIC_PREFIX_VALUE
Since Version: 0.5.1

Record Payload Config

This is the lowest level of customization offered by Hudi. Record payloads define how to produce new values to upsert based on incoming new record and stored old record. Hudi provides default implementations such as OverwriteWithLatestAvroPayload which simply update table with the latest/last-written record. This can be overridden to a custom class extending HoodieRecordPayload class, on both datasource and WriteClient levels.

Payload Configurations

Payload related configs, that can be leveraged to control merges based on specific business fields in the data.

Config Class: org.apache.hudi.config.HoodiePayloadConfig

hoodie.payload.event.time.field

Table column/field name to derive timestamp associated with the records. This canbe useful for e.g, determining the freshness of the table.
Default Value: ts (Optional)
Config Param: EVENT_TIME_FIELD

hoodie.payload.ordering.field

Table column/field name to order records that have the same key, before merging and writing to storage.
Default Value: ts (Optional)
Config Param: ORDERING_FIELD

Kafka Connect Configs

These set of configs are used for Kafka Connect Sink Connector for writing Hudi Tables

Kafka Sink Connect Configurations

Configurations for Kafka Connect Sink Connector for Hudi.

Config Class: org.apache.hudi.connect.writers.KafkaConnectConfigs

hoodie.kafka.coordinator.write.timeout.secs

The timeout after sending an END_COMMIT until when the coordinator will wait for the write statuses from all the partitionsto ignore the current commit and start a new commit.
Default Value: 300 (Optional)
Config Param: COORDINATOR_WRITE_TIMEOUT_SECS

hoodie.meta.sync.classes

Meta sync client tool, using comma to separate multi tools
Default Value: org.apache.hudi.hive.HiveSyncTool (Optional)
Config Param: META_SYNC_CLASSES

hoodie.kafka.allow.commit.on.errors

Commit even when some records failed to be written
Default Value: true (Optional)
Config Param: ALLOW_COMMIT_ON_ERRORS

hadoop.home

The Hadoop home directory.
Default Value: N/A (Required)
Config Param: HADOOP_HOME

hoodie.meta.sync.enable

Enable Meta Sync such as Hive
Default Value: false (Optional)
Config Param: META_SYNC_ENABLE

hoodie.kafka.commit.interval.secs

The interval at which Hudi will commit the records written to the files, making them consumable on the read-side.
Default Value: 60 (Optional)
Config Param: COMMIT_INTERVAL_SECS

hoodie.kafka.control.topic

Kafka topic name used by the Hudi Sink Connector for sending and receiving control messages. Not used for data records.
Default Value: hudi-control-topic (Optional)
Config Param: CONTROL_TOPIC_NAME

bootstrap.servers

The bootstrap servers for the Kafka Cluster.
Default Value: localhost:9092 (Optional)
Config Param: KAFKA_BOOTSTRAP_SERVERS

hoodie.schemaprovider.class

subclass of org.apache.hudi.schema.SchemaProvider to attach schemas to input & target table data, built in options: org.apache.hudi.schema.FilebasedSchemaProvider.
Default Value: org.apache.hudi.schema.FilebasedSchemaProvider (Optional)
Config Param: SCHEMA_PROVIDER_CLASS

hadoop.conf.dir

The Hadoop configuration directory.
Default Value: N/A (Required)
Config Param: HADOOP_CONF_DIR

hoodie.kafka.compaction.async.enable

Controls whether async compaction should be turned on for MOR table writing.
Default Value: true (Optional)
Config Param: ASYNC_COMPACT_ENABLE

Amazon Web Services Configs

Please fill in the description for Config Group Name: Amazon Web Services Configs

Amazon Web Services Configs

Amazon Web Services configurations to access resources like Amazon DynamoDB (for locks), Amazon CloudWatch (metrics).

Config Class: org.apache.hudi.config.HoodieAWSConfig

hoodie.aws.session.token

AWS session token
Default Value: N/A (Required)
Config Param: AWS_SESSION_TOKEN
Since Version: 0.10.0

hoodie.aws.access.key

AWS access key id
Default Value: N/A (Required)
Config Param: AWS_ACCESS_KEY
Since Version: 0.10.0

hoodie.aws.secret.key

AWS secret key
Default Value: N/A (Required)
Config Param: AWS_SECRET_KEY
Since Version: 0.10.0

Externalized Config File​

Spark Datasource Configs​

Read Options​

hoodie.file.index.enable​

hoodie.datasource.read.paths​

hoodie.datasource.read.incr.filters​

hoodie.enable.data.skipping​

as.of.instant​

hoodie.datasource.read.schema.use.end.instanttime​

hoodie.datasource.read.incr.path.glob​

hoodie.datasource.read.end.instanttime​

hoodie.datasource.write.precombine.field​

hoodie.datasource.merge.type​

hoodie.datasource.read.extract.partition.values.from.path​

hoodie.datasource.read.begin.instanttime​

hoodie.datasource.read.incr.fallback.fulltablescan.enable​

hoodie.datasource.query.type​

Write Options​

hoodie.clustering.async.enabled​

hoodie.datasource.write.operation​

hoodie.datasource.write.reconcile.schema​

hoodie.datasource.write.recordkey.field​

hoodie.datasource.hive_sync.skip_ro_suffix​

hoodie.datasource.write.partitionpath.urlencode​

hoodie.datasource.hive_sync.partition_extractor_class​

hoodie.datasource.hive_sync.serde_properties​

hoodie.datasource.hive_sync.sync_comment​

hoodie.datasource.hive_sync.password​

hoodie.datasource.write.keygenerator.consistent.logical.timestamp.enabled​

hoodie.datasource.hive_sync.support_timestamp​

hoodie.datasource.hive_sync.create_managed_table​

hoodie.clustering.inline​

hoodie.datasource.compaction.async.enable​

hoodie.datasource.meta.sync.enable​

hoodie.datasource.write.streaming.ignore.failed.batch​

hoodie.datasource.write.precombine.field​

hoodie.datasource.hive_sync.username​

hoodie.datasource.write.partitionpath.field​

hoodie.datasource.write.streaming.retry.count​

hoodie.datasource.hive_sync.partition_fields​

hoodie.datasource.hive_sync.sync_as_datasource​

hoodie.sql.insert.mode​

hoodie.datasource.hive_sync.use_jdbc​

hoodie.meta.sync.client.tool.class​

hoodie.datasource.write.keygenerator.class​

hoodie.datasource.write.payload.class​

hoodie.datasource.hive_sync.table_properties​

hoodie.datasource.hive_sync.jdbcurl​

hoodie.datasource.hive_sync.batch_num​

hoodie.datasource.hive_sync.assume_date_partitioning​

hoodie.datasource.hive_sync.bucket_sync​

hoodie.datasource.hive_sync.auto_create_database​

hoodie.datasource.hive_sync.database​

hoodie.datasource.write.streaming.retry.interval.ms​

hoodie.sql.bulk.insert.enable​

hoodie.datasource.write.commitmeta.key.prefix​

hoodie.datasource.write.drop.partition.columns​

hoodie.datasource.hive_sync.enable​

hoodie.datasource.hive_sync.table​

hoodie.datasource.hive_sync.ignore_exceptions​

hoodie.datasource.hive_sync.use_pre_apache_input_format​

hoodie.datasource.write.table.type​

hoodie.datasource.write.row.writer.enable​

hoodie.datasource.write.hive_style_partitioning​

hoodie.datasource.meta_sync.condition.sync​

hoodie.datasource.hive_sync.mode​

hoodie.datasource.write.table.name​

hoodie.datasource.hive_sync.base_file_format​

hoodie.deltastreamer.source.kafka.value.deserializer.class​

hoodie.datasource.hive_sync.metastore.uris​

hoodie.datasource.write.insert.drop.duplicates​

hoodie.datasource.write.partitions.to.delete​

PreCommit Validator Configurations​

hoodie.precommit.validators.single.value.sql.queries​

hoodie.precommit.validators.equality.sql.queries​

hoodie.precommit.validators​

hoodie.precommit.validators.inequality.sql.queries​

Flink Sql Configs​

Flink Options​

read.streaming.enabled​

Externalized Config File

Spark Datasource Configs

Read Options

hoodie.file.index.enable

hoodie.datasource.read.paths

hoodie.datasource.read.incr.filters

hoodie.enable.data.skipping

as.of.instant

hoodie.datasource.read.schema.use.end.instanttime

hoodie.datasource.read.incr.path.glob

hoodie.datasource.read.end.instanttime

hoodie.datasource.write.precombine.field

hoodie.datasource.merge.type

hoodie.datasource.read.extract.partition.values.from.path

hoodie.datasource.read.begin.instanttime

hoodie.datasource.read.incr.fallback.fulltablescan.enable

hoodie.datasource.query.type

Write Options

hoodie.clustering.async.enabled

hoodie.datasource.write.operation

hoodie.datasource.write.reconcile.schema

hoodie.datasource.write.recordkey.field

hoodie.datasource.hive_sync.skip_ro_suffix

hoodie.datasource.write.partitionpath.urlencode

hoodie.datasource.hive_sync.partition_extractor_class

hoodie.datasource.hive_sync.serde_properties

hoodie.datasource.hive_sync.sync_comment

hoodie.datasource.hive_sync.password

hoodie.datasource.write.keygenerator.consistent.logical.timestamp.enabled

hoodie.datasource.hive_sync.support_timestamp

hoodie.datasource.hive_sync.create_managed_table

hoodie.clustering.inline

hoodie.datasource.compaction.async.enable

hoodie.datasource.meta.sync.enable

hoodie.datasource.write.streaming.ignore.failed.batch

hoodie.datasource.write.precombine.field

hoodie.datasource.hive_sync.username

hoodie.datasource.write.partitionpath.field

hoodie.datasource.write.streaming.retry.count

hoodie.datasource.hive_sync.partition_fields

hoodie.datasource.hive_sync.sync_as_datasource

hoodie.sql.insert.mode

hoodie.datasource.hive_sync.use_jdbc

hoodie.meta.sync.client.tool.class

hoodie.datasource.write.keygenerator.class

hoodie.datasource.write.payload.class

hoodie.datasource.hive_sync.table_properties

hoodie.datasource.hive_sync.jdbcurl

hoodie.datasource.hive_sync.batch_num

hoodie.datasource.hive_sync.assume_date_partitioning

hoodie.datasource.hive_sync.bucket_sync

hoodie.datasource.hive_sync.auto_create_database

hoodie.datasource.hive_sync.database

hoodie.datasource.write.streaming.retry.interval.ms

hoodie.sql.bulk.insert.enable

hoodie.datasource.write.commitmeta.key.prefix

hoodie.datasource.write.drop.partition.columns

hoodie.datasource.hive_sync.enable

hoodie.datasource.hive_sync.table

hoodie.datasource.hive_sync.ignore_exceptions

hoodie.datasource.hive_sync.use_pre_apache_input_format

hoodie.datasource.write.table.type

hoodie.datasource.write.row.writer.enable

hoodie.datasource.write.hive_style_partitioning

hoodie.datasource.meta_sync.condition.sync

hoodie.datasource.hive_sync.mode

hoodie.datasource.write.table.name

hoodie.datasource.hive_sync.base_file_format

hoodie.deltastreamer.source.kafka.value.deserializer.class

hoodie.datasource.hive_sync.metastore.uris

hoodie.datasource.write.insert.drop.duplicates

hoodie.datasource.write.partitions.to.delete

PreCommit Validator Configurations

hoodie.precommit.validators.single.value.sql.queries

hoodie.precommit.validators.equality.sql.queries

hoodie.precommit.validators

hoodie.precommit.validators.inequality.sql.queries

Flink Sql Configs

Flink Options

read.streaming.enabled