4fc8ee74fc
### What changes were proposed in this pull request?
This PR supplements version for configuration appear in docs.
I sorted out some information show below.
**docs/spark-standalone.md**
Item name | Since version | JIRA ID | Commit ID | Note
-- | -- | -- | -- | --
spark.deploy.retainedApplications | 0.8.0 | None | 46eecd110a4017ea0c86cbb1010d0ccd6a5eb2ef#diff-29dffdccd5a7f4c8b496c293e87c8668 |
spark.deploy.retainedDrivers | 1.1.0 | None | 7446f5ff93142d2dd5c79c63fa947f47a1d4db8b#diff-29dffdccd5a7f4c8b496c293e87c8668 |
spark.deploy.spreadOut | 0.6.1 | None | bb2b9ff37cd2503cc6ea82c5dd395187b0910af0#diff-0e7ae91819fc8f7b47b0f97be7116325 |
spark.deploy.defaultCores | 0.9.0 | None | d8bcc8e9a095c1b20dd7a17b6535800d39bff80e#diff-29dffdccd5a7f4c8b496c293e87c8668 |
spark.deploy.maxExecutorRetries | 1.6.3 | SPARK-16956 | ace458f0330f22463ecf7cbee7c0465e10fba8a8#diff-29dffdccd5a7f4c8b496c293e87c8668 |
spark.worker.resource.{resourceName}.amount | 3.0.0 | SPARK-27371 | cbad616d4cb0c58993a88df14b5e30778c7f7e85#diff-d25032e4a3ae1b85a59e4ca9ccf189a8 |
spark.worker.resource.{resourceName}.discoveryScript | 3.0.0 | SPARK-27371 | cbad616d4cb0c58993a88df14b5e30778c7f7e85#diff-d25032e4a3ae1b85a59e4ca9ccf189a8 |
spark.worker.resourcesFile | 3.0.0 | SPARK-27369 | 7cbe01e8efc3f6cd3a0cac4bcfadea8fcc74a955#diff-b2fc8d6ab7ac5735085e2d6cfacb95da |
spark.shuffle.service.db.enabled | 3.0.0 | SPARK-26288 | 8b0aa59218c209d39cbba5959302d8668b885cf6#diff-6bdad48cfc34314e89599655442ff210 |
spark.storage.cleanupFilesAfterExecutorExit | 2.4.0 | SPARK-24340 | 8ef167a5f9ba8a79bb7ca98a9844fe9cfcfea060#diff-916ca56b663f178f302c265b7ef38499 |
spark.deploy.recoveryMode | 0.8.1 | None | d66c01f2b6defb3db6c1be99523b734a4d960532#diff-29dffdccd5a7f4c8b496c293e87c8668 |
spark.deploy.recoveryDirectory | 0.8.1 | None | d66c01f2b6defb3db6c1be99523b734a4d960532#diff-29dffdccd5a7f4c8b496c293e87c8668 |
**docs/sql-data-sources-avro.md**
Item name | Since version | JIRA ID | Commit ID | Note
-- | -- | -- | -- | --
spark.sql.legacy.replaceDatabricksSparkAvro.enabled | 2.4.0 | SPARK-25129 | ac0174e55af2e935d41545721e9f430c942b3a0c#diff-9a6b543db706f1a90f790783d6930a13 |
spark.sql.avro.compression.codec | 2.4.0 | SPARK-24881 | 0a0f68bae6c0a1bf30184b1e9ac6bf3805bd7511#diff-9a6b543db706f1a90f790783d6930a13 |
spark.sql.avro.deflate.level | 2.4.0 | SPARK-24881 | 0a0f68bae6c0a1bf30184b1e9ac6bf3805bd7511#diff-9a6b543db706f1a90f790783d6930a13 |
**docs/sql-data-sources-orc.md**
Item name | Since version | JIRA ID | Commit ID | Note
-- | -- | -- | -- | --
spark.sql.orc.impl | 2.3.0 | SPARK-20728 | 326f1d6728a7734c228d8bfaa69442a1c7b92e9b#diff-9a6b543db706f1a90f790783d6930a13 |
spark.sql.orc.enableVectorizedReader | 2.3.0 | SPARK-16060 | 60f6b994505e3f82091a04eed2dc0a9e8bd523ce#diff-9a6b543db706f1a90f790783d6930a13 |
**docs/sql-data-sources-parquet.md**
Item name | Since version | JIRA ID | Commit ID | Note
-- | -- | -- | -- | --
spark.sql.parquet.binaryAsString | 1.1.1 | SPARK-2927 | de501e169f24e4573747aec85b7651c98633c028#diff-41ef65b9ef5b518f77e2a03559893f4d |
spark.sql.parquet.int96AsTimestamp | 1.3.0 | SPARK-4987 | 67d52207b5cf2df37ca70daff2a160117510f55e#diff-41ef65b9ef5b518f77e2a03559893f4d |
spark.sql.parquet.compression.codec | 1.1.1 | SPARK-3131 | 3a9d874d7a46ab8b015631d91ba479d9a0ba827f#diff-41ef65b9ef5b518f77e2a03559893f4d |
spark.sql.parquet.filterPushdown | 1.2.0 | SPARK-4391 | 576688aa2a19bd4ba239a2b93af7947f983e5124#diff-41ef65b9ef5b518f77e2a03559893f4d |
spark.sql.hive.convertMetastoreParquet | 1.1.1 | SPARK-2406 | cc4015d2fa3785b92e6ab079b3abcf17627f7c56#diff-ff50aea397a607b79df9bec6f2a841db |
spark.sql.parquet.mergeSchema | 1.5.0 | SPARK-8690 | 246265f2bb056d5e9011d3331b809471a24ff8d7#diff-41ef65b9ef5b518f77e2a03559893f4d |
spark.sql.parquet.writeLegacyFormat | 1.6.0 | SPARK-10400 | 01cd688f5245cbb752863100b399b525b31c3510#diff-41ef65b9ef5b518f77e2a03559893f4d |
### Why are the changes needed?
Supplemental configuration version information.
### Does this PR introduce any user-facing change?
'No'.
### How was this patch tested?
Jenkins test
Closes #28064 from beliefer/supplement-doc-for-data-sources.
Authored-by: beliefer <beliefer@163.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
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2.3 KiB
| layout | title | displayTitle | license |
|---|---|---|---|
| global | ORC Files | ORC Files | Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 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. |
Since Spark 2.3, Spark supports a vectorized ORC reader with a new ORC file format for ORC files.
To do that, the following configurations are newly added. The vectorized reader is used for the
native ORC tables (e.g., the ones created using the clause USING ORC) when spark.sql.orc.impl
is set to native and spark.sql.orc.enableVectorizedReader is set to true. For the Hive ORC
serde tables (e.g., the ones created using the clause USING HIVE OPTIONS (fileFormat 'ORC')),
the vectorized reader is used when spark.sql.hive.convertMetastoreOrc is also set to true.
| Property Name | Default | Meaning | Since Version |
|---|---|---|---|
spark.sql.orc.impl |
native |
The name of ORC implementation. It can be one of native and hive.
native means the native ORC support. hive means the ORC library
in Hive.
|
2.3.0 |
spark.sql.orc.enableVectorizedReader |
true |
Enables vectorized orc decoding in native implementation. If false,
a new non-vectorized ORC reader is used in native implementation.
For hive implementation, this is ignored.
|
2.3.0 |