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Posted to issues@iceberg.apache.org by GitBox <gi...@apache.org> on 2022/05/19 18:38:05 UTC
[GitHub] [iceberg] pvary commented on a diff in pull request #4801: Add Configuration page
pvary commented on code in PR #4801:
URL: https://github.com/apache/iceberg/pull/4801#discussion_r877409397
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docs/configurations/_index.md:
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@@ -0,0 +1,213 @@
+---
+bookIconFa: fa-gears
+bookFlatSection: true
+url: configurations
+weight: 470
+---
+<!--
+ - Licensed to the Apache Software Foundation (ASF) under one or more
+ - contributor license agreements. See the NOTICE file distributed with
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+ - The ASF licenses this file to You under the Apache License, Version 2.0
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+ - http://www.apache.org/licenses/LICENSE-2.0
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+ - Unless required by applicable law or agreed to in writing, software
+ - distributed under the License is distributed on an "AS IS" BASIS,
+ - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ - See the License for the specific language governing permissions and
+ - limitations under the License.
+ -->
+
+# Configurations
+
+### Table 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. |
+| read.parquet.vectorization.enabled| false | Enables parquet vectorized reads |
+| read.parquet.vectorization.batch-size| 5000 | The batch size for parquet vectorized reads |
+| read.orc.vectorization.enabled | false | Enables orc vectorized reads |
+| read.orc.vectorization.batch-size | 5000 | The batch size for orc vectorized reads |
+
+### Table Write Properties
+
+| Property | Default | Description |
+| ---------------------------------- | ------------------ | -------------------------------------------------- |
+| write.format.default | parquet | Default file format for the table; parquet, avro, or orc |
+| write.delete.format.default | data file format | Default delete 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: zstd, brotli, lz4, gzip, snappy, uncompressed |
+| write.parquet.compression-level | null | Parquet compression level |
+| write.avro.compression-codec | gzip | Avro compression codec: gzip(deflate with 9 level), gzip, snappy, uncompressed |
+| write.avro.compression-level | null | Avro compression level |
+| write.orc.stripe-size-bytes | 67108864 (64 MB) | Define the default ORC stripe size, in bytes |
+| write.orc.block-size-bytes | 268435456 (256 MB) | Define the default file system block size for ORC files |
+| write.orc.compression-codec | zlib | ORC compression codec: zstd, lz4, lzo, zlib, snappy, none |
+| write.orc.compression-strategy | speed | ORC compression strategy: speed, compression |
+| write.location-provider.impl | null | Optional custom implementation 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.delete.target-file-size-bytes| 67108864 (64 MB) | Controls the size of delete 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.delete.distribution-mode | hash | Defines distribution of write delete data |
+| 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 the fanout writer in Spark that does not require data to be clustered; uses more memory |
+| write.object-storage.enabled | false | Enables the object storage location provider that adds a hash component to file paths |
+| write.data.path | table location + /data | Base location for data files |
+| write.metadata.path | table location + /metadata | Base location for metadata files |
+| write.delete.mode | copy-on-write | Mode used for delete commands: copy-on-write or merge-on-read (v2 only) |
+| write.delete.isolation-level | serializable | Isolation level for delete commands: serializable or snapshot |
+| write.update.mode | copy-on-write | Mode used for update commands: copy-on-write or merge-on-read (v2 only) |
+| write.update.isolation-level | serializable | Isolation level for update commands: serializable or snapshot |
+| write.merge.mode | copy-on-write | Mode used for merge commands: copy-on-write or merge-on-read (v2 only) |
+| write.merge.isolation-level | serializable | Isolation level for merge commands: serializable or snapshot |
+
+### 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) | Total retry timeout period in milliseconds for 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) | Total timeout period in which the commit status-check must succeed, in milliseconds |
+| 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 |
+| history.expire.max-ref-age-ms | `Long.MAX_VALUE` (forever) | For snapshot references except the `main` branch, default max age of snapshot references to keep while expiring snapshots. The `main` branch never expires. |
+
+### Reserved Table Properties
+
+| Property | Default | Description |
+| -------------- | -------- | ------------------------------------------------------------- |
+| format-version | 1 | Table's format version (can be 1 or 2) as defined in the [Spec](../../../spec/#format-versioning). |
+
+{{< hint info >}}
+Reserved table properties are only used to control behaviors when creating or updating a table.
+The value of these properties are not persisted as a part of the table metadata.
+{{< /hint >}}
+
+### Compatibility Flags
+
+| Property | Default | Description |
+| --------------------------------------------- | -------- | ------------------------------------------------------------- |
+| compatibility.snapshot-id-inheritance.enabled | false | Enables committing snapshots without explicit snapshot IDs |
+
+### 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 |
+| cache-enabled | true | Whether to cache catalog entries |
+| cache.expiration-interval-ms | 30000 | How long catalog entries are locally cached, in milliseconds; 0 disables caching, negative values disable expiration |
+| 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](../aws/#dynamodb-for-commit-locking) |
+| 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 |
+
+{{< hint info >}}
+`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](../spark-configuration#catalog-configuration) section.
+Flink passes in catalog properties through `CREATE CATALOG` statement, see more details in the [Flink](../flink/#creating-catalogs-and-using-catalogs) section.
+{{< /hint >}}
+
+### Spark Catalog Configurations
+
+| Property | Values | Description |
+| -------------------------------------------------- | ----------------------------- | -------------------------------------------------------------------- |
+| spark.sql.catalog.spark_catalog | org.apache.iceberg.spark.SparkSessionCatalog | description |
+| spark.sql.catalog.spark_catalog.type | `hive` | description |
+| spark.sql.catalog._catalog-name_.type | `hive` or `hadoop` | The underlying Iceberg catalog implementation, `HiveCatalog`, `HadoopCatalog` or left unset if using a custom catalog. |
+| spark.sql.catalog._catalog-name_.catalog-impl | | The underlying Iceberg catalog implementation.|
+| spark.sql.catalog._catalog-name_.default-namespace | default | The default current namespace for the catalog |
+| spark.sql.catalog._catalog-name_.uri | thrift://host:port | Metastore connect URI; default from `hive-site.xml` |
+| spark.sql.catalog._catalog-name_.warehouse | hdfs://nn:8020/warehouse/path | Base path for the warehouse directory |
+| spark.sql.catalog._catalog-name_.cache-enabled | `true` or `false` | Whether to enable catalog cache, default value is `true` |
+| spark.sql.catalog._catalog-name_.cache.expiration-interval-ms | `30000` (30 seconds) | Duration after which cached catalog entries are expired; Only effective if `cache-enabled` is `true`. `-1` disables cache expiration and `0` disables caching entirely, irrespective of `cache-enabled`. Default is `30000` (30 seconds) | |
+| spark.sql.extensions | `org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions` | description |
+| write-format | Table write.format.default | File format to use for this write operation; parquet, avro, or orc |
+| target-file-size-bytes | As per table property | Overrides this table's write.target-file-size-bytes |
+| check-nullability | true | Sets the nullable check on fields |
+| snapshot-property._custom-key_ | null | Adds an entry with custom-key and corresponding value in the snapshot summary |
+| fanout-enabled | false | Overrides this table's write.spark.fanout.enabled |
+| check-ordering | true | Checks if input schema and table schema are same |
+| isolation-level | null | Desired isolation level for Dataframe overwrite operations. `null` => no checks (for idempotent writes), `serializable` => check for concurrent inserts or deletes in destination partitions, `snapshot` => checks for concurrent deletes in destination partitions. |
+| validate-from-snapshot-id | null | If isolation level is set, id of base snapshot from which to check concurrent write conflicts into a table. Should be the snapshot before any reads from the table. Can be obtained via [Table API](../../api#table-metadata) or [Snapshots table](../spark-queries#snapshots). If null, the table's oldest known snapshot is used. |
+
+### Spark Runtime Read Options
+
+
+| Spark option | Default | Description |
+| --------------- | --------------------- | ----------------------------------------------------------------------------------------- |
+| snapshot-id | (latest) | Snapshot ID of the table snapshot to read |
+| as-of-timestamp | (latest) | A timestamp in milliseconds; the snapshot used will be the snapshot current at this time. |
+| split-size | As per table property | Overrides this table's read.split.target-size and read.split.metadata-target-size |
+| lookback | As per table property | Overrides this table's read.split.planning-lookback |
+| file-open-cost | As per table property | Overrides this table's read.split.open-file-cost |
+| vectorization-enabled | As per table property | Overrides this table's read.parquet.vectorization.enabled |
+| batch-size | As per table property | Overrides this table's read.parquet.vectorization.batch-size |
+| stream-from-timestamp | (none) | A timestamp in milliseconds to stream from; if before the oldest known ancestor snapshot, the oldest will be used |
+
+### Spark Runtime Write Options
+
+| Spark option | Default | Description |
+| ---------------------- | -------------------------- | ------------------------------------------------------------ |
+| write-format | Table write.format.default | File format to use for this write operation; parquet, avro, or orc |
+| target-file-size-bytes | As per table property | Overrides this table's write.target-file-size-bytes |
+| check-nullability | true | Sets the nullable check on fields |
+| snapshot-property._custom-key_ | null | Adds an entry with custom-key and corresponding value in the snapshot summary |
+| fanout-enabled | false | Overrides this table's write.spark.fanout.enabled |
+| check-ordering | true | Checks if input schema and table schema are same |
+| isolation-level | null | Desired isolation level for Dataframe overwrite operations. `null` => no checks (for idempotent writes), `serializable` => check for concurrent inserts or deletes in destination partitions, `snapshot` => checks for concurrent deletes in destination partitions. |
+| validate-from-snapshot-id | null | If isolation level is set, id of base snapshot from which to check concurrent write conflicts into a table. Should be the snapshot before any reads from the table. Can be obtained via [Table API](../../api#table-metadata) or [Snapshots table](../spark-queries#snapshots). If null, the table's oldest known snapshot is used. |
+
+### Hadoop Configurations
+
+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 |
+| external.table.purge | true | If all data and metadata should be purged in a table by default when the table is dropped |
+| gc.enabled | true | if all data and metadata should be purged in the table by default |
Review Comment:
Do we want to add some comment about that these properties are synchronized? In the Hive doc we have this:
```
Changing gc.enabled on the Iceberg table via UpdateProperties, updates
external.table.purge on the HMS table accordingly. Setting external.table.purge as a table
prop during Hive CREATE TABLE pushes gc.enabled down to the Iceberg table properties.
This ensures these properties are always consistent at table level between Hive and
Iceberg.
```
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