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[SPARK-53896][CORE] Enable spark.io.compression.lzf.parallel.enabled by default #52603

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[SPARK-53896][CORE] Enable spark.io.compression.lzf.parallel.enabled by default #52603

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2 changes: 1 addition & 1 deletion core/src/main/scala/org/apache/spark/internal/config/package.scala
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Expand Up @@ -2137,7 +2137,7 @@ package object config {
.doc("When true, LZF compression will use multiple threads to compress data in parallel.")
.version("4.0.0")
.booleanConf
.createWithDefault(false)
.createWithDefault(true)

private[spark] val IO_WARNING_LARGEFILETHRESHOLD =
ConfigBuilder("spark.io.warning.largeFileThreshold")
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2 changes: 1 addition & 1 deletion docs/configuration.md
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Expand Up @@ -1918,7 +1918,7 @@ Apart from these, the following properties are also available, and may be useful
</tr>
<tr>
<td><code>spark.io.compression.lzf.parallel.enabled</code></td>
<td>false</td>
<td>true</td>
<td>
When true, LZF compression will use multiple threads to compress data in parallel.
</td>
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1 change: 1 addition & 0 deletions docs/core-migration-guide.md
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Expand Up @@ -29,6 +29,7 @@ license: |
- Since Spark 4.1, Spark uses Apache Hadoop Magic Committer for all S3 buckets by default. To restore the behavior before Spark 4.0, you can set `spark.hadoop.fs.s3a.committer.magic.enabled=false`.
- Since Spark 4.1, `java.lang.InternalError` encountered during file reading will no longer fail the task if the configuration `spark.sql.files.ignoreCorruptFiles` or the data source option `ignoreCorruptFiles` is set to `true`.
- Since Spark 4.1, Spark ignores `*.blacklist.*` alternative configuration names. To restore the behavior before Spark 4.1, you can use the corresponding configuration names instead which exists since Spark 3.1.0.
- Since Spark 4.1, Spark will use multiple threads for LZF compression to compress data in parallel. To restore the behavior before Spark 4.1, you can set `spark.io.compression.lzf.parallel.enabled` to `false`.

## Upgrading from Core 3.5 to 4.0

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