Configuration¶
Table properties¶
Iceberg tables support table properties to configure table behavior, like the default split size for readers.
Read properties¶
| Property | Default | Description |
|---|---|---|
| read.split.target-size | 134217728 (128 MB) | Target size when combining data input splits |
| read.split.metadata-target-size | 33554432 (32 MB) | Target size when combining metadata input splits |
| read.split.planning-lookback | 10 | Number of bins to consider when combining input splits |
| read.split.open-file-cost | 4194304 (4 MB) | The estimated cost to open a file, used as a minimum weight when combining splits. |
Write properties¶
| Property | Default | Description |
|---|---|---|
| write.format.default | parquet | Default file format for the table; parquet, avro, or orc |
| write.parquet.row-group-size-bytes | 134217728 (128 MB) | Parquet row group size |
| write.parquet.page-size-bytes | 1048576 (1 MB) | Parquet page size |
| write.parquet.dict-size-bytes | 2097152 (2 MB) | Parquet dictionary page size |
| write.parquet.compression-codec | gzip | Parquet compression codec |
| write.parquet.compression-level | null | Parquet compression level |
| write.avro.compression-codec | gzip | Avro compression codec |
| write.location-provider.impl | null | Optional custom implemention for LocationProvider |
| write.metadata.compression-codec | none | Metadata compression codec; none or gzip |
| write.metadata.metrics.default | truncate(16) | Default metrics mode for all columns in the table; none, counts, truncate(length), or full |
| write.metadata.metrics.column.col1 | (not set) | Metrics mode for column ‘col1’ to allow per-column tuning; none, counts, truncate(length), or full |
| write.target-file-size-bytes | 536870912 (512 MB) | Controls the size of files generated to target about this many bytes |
| write.distribution-mode | none | Defines distribution of write data: none: don’t shuffle rows; hash: hash distribute by partition key ; range: range distribute by partition key or sort key if table has an SortOrder |
| write.wap.enabled | false | Enables write-audit-publish writes |
| write.summary.partition-limit | 0 | Includes partition-level summary stats in snapshot summaries if the changed partition count is less than this limit |
| write.metadata.delete-after-commit.enabled | false | Controls whether to delete the oldest version metadata files after commit |
| write.metadata.previous-versions-max | 100 | The max number of previous version metadata files to keep before deleting after commit |
| write.spark.fanout.enabled | false | Enables Partitioned-Fanout-Writer writes in Spark |
Table behavior properties¶
| Property | Default | Description |
|---|---|---|
| commit.retry.num-retries | 4 | Number of times to retry a commit before failing |
| commit.retry.min-wait-ms | 100 | Minimum time in milliseconds to wait before retrying a commit |
| commit.retry.max-wait-ms | 60000 (1 min) | Maximum time in milliseconds to wait before retrying a commit |
| commit.retry.total-timeout-ms | 1800000 (30 min) | Maximum time in milliseconds to wait before retrying a commit |
| commit.status-check.num-retries | 3 | Number of times to check whether a commit succeeded after a connection is lost before failing due to an unknown commit state |
| commit.status-check.min-wait-ms | 1000 (1s) | Minimum time in milliseconds to wait before retrying a status-check |
| commit.status-check.max-wait-ms | 60000 (1 min) | Maximum time in milliseconds to wait before retrying a status-check |
| commit.status-check.total-timeout-ms | 1800000 (30 min) | Maximum time in milliseconds to wait before retrying a status-check |
| commit.manifest.target-size-bytes | 8388608 (8 MB) | Target size when merging manifest files |
| commit.manifest.min-count-to-merge | 100 | Minimum number of manifests to accumulate before merging |
| commit.manifest-merge.enabled | true | Controls whether to automatically merge manifests on writes |
| history.expire.max-snapshot-age-ms | 432000000 (5 days) | Default max age of snapshots to keep while expiring snapshots |
| history.expire.min-snapshots-to-keep | 1 | Default min number of snapshots to keep while expiring snapshots |
Compatibility flags¶
| Property | Default | Description |
|---|---|---|
| compatibility.snapshot-id-inheritance.enabled | false | Enables committing snapshots without explicit snapshot IDs |
Catalog properties¶
Iceberg catalogs support using catalog properties to configure catalog behaviors. Here is a list of commonly used catalog properties:
| Property | Default | Description |
|---|---|---|
| catalog-impl | null | a custom Catalog implementation to use by an engine |
| io-impl | null | a custom FileIO implementation to use in a catalog |
| warehouse | null | the root path of the data warehouse |
| uri | null | a URI string, such as Hive metastore URI |
| clients | 2 | client pool size |
HadoopCatalog and HiveCatalog can access the properties in their constructors.
Any other custom catalog can access the properties by implementing Catalog.initialize(catalogName, catalogProperties).
The properties can be manually constructed or passed in from a compute engine like Spark or Flink.
Spark uses its session properties as catalog properties, see more details in the Spark configuration section.
Flink passes in catalog properties through CREATE CATALOG statement, see more details in the Flink section.
Lock catalog properties¶
Here are the catalog properties related to locking. They are used by some catalog implementations to control the locking behavior during commits.
| Property | Default | Description |
|---|---|---|
| lock-impl | null | a custom implementation of the lock manager, the actual interface depends on the catalog used |
| lock.table | null | an auxiliary table for locking, such as in AWS DynamoDB lock manager |
| lock.acquire-interval-ms | 5 seconds | the interval to wait between each attempt to acquire a lock |
| lock.acquire-timeout-ms | 3 minutes | the maximum time to try acquiring a lock |
| lock.heartbeat-interval-ms | 3 seconds | the interval to wait between each heartbeat after acquiring a lock |
| lock.heartbeat-timeout-ms | 15 seconds | the maximum time without a heartbeat to consider a lock expired |
Hadoop configuration¶
The following properties from the Hadoop configuration are used by the Hive Metastore connector.
| Property | Default | Description |
|---|---|---|
| iceberg.hive.client-pool-size | 5 | The size of the Hive client pool when tracking tables in HMS |
| iceberg.hive.lock-timeout-ms | 180000 (3 min) | Maximum time in milliseconds to acquire a lock |
| iceberg.hive.lock-check-min-wait-ms | 50 | Minimum time in milliseconds to check back on the status of lock acquisition |
| iceberg.hive.lock-check-max-wait-ms | 5000 | Maximum time in milliseconds to check back on the status of lock acquisition |
Note: iceberg.hive.lock-check-max-wait-ms should be less than the transaction timeout
of the Hive Metastore (hive.txn.timeout or metastore.txn.timeout in the newer versions). Otherwise, the heartbeats on the lock (which happens during the lock checks) would end up expiring in the
Hive Metastore before the lock is retried from Iceberg.