[SPARK-34346][CORE][SQL][3.0] io.file.buffer.size set by spark.buffer.size will override by loading hive-site.xml accidentally may cause perf regression#31492
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[SPARK-34346][CORE][SQL][3.0] io.file.buffer.size set by spark.buffer.size will override by loading hive-site.xml accidentally may cause perf regression#31492yaooqinn wants to merge 1 commit intoapache:branch-3.0from yaooqinn:SPARK-34346-30
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….size will override by loading hive-site.xml accidentally may cause perf regression In many real-world cases, when interacting with hive catalog through Spark SQL, users may just share the `hive-site.xml` for their hive jobs and make a copy to `SPARK_HOME`/conf w/o modification. In Spark, when we generate Hadoop configurations, we will use `spark.buffer.size(65536)` to reset `io.file.buffer.size(4096)`. But when we load the hive-site.xml, we may ignore this behavior and reset `io.file.buffer.size` again according to `hive-site.xml`. 1. The configuration priority for setting Hadoop and Hive config here is not right, while literally, the order should be `spark > spark.hive > spark.hadoop > hive > hadoop` 2. This breaks `spark.buffer.size` congfig's behavior for tuning the IO performance w/ HDFS if there is an existing `io.file.buffer.size` in hive-site.xml bugfix for configuration behavior and fix performance regression by that behavior change this pr restores silent user face change new tests Closes #31460 from yaooqinn/SPARK-34346. Authored-by: Kent Yao <yao@apache.org> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
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cc @cloud-fan @maropu @HyukjinKwon @dongjoon-hyun thanks |
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+1, LGTM. Thank you, @yaooqinn .
Merged to branch-3.0.
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….size will override by loading hive-site.xml accidentally may cause perf regression Backport #31460 to 3.0 ### What changes were proposed in this pull request? In many real-world cases, when interacting with hive catalog through Spark SQL, users may just share the `hive-site.xml` for their hive jobs and make a copy to `SPARK_HOME`/conf w/o modification. In Spark, when we generate Hadoop configurations, we will use `spark.buffer.size(65536)` to reset `io.file.buffer.size(4096)`. But when we load the hive-site.xml, we may ignore this behavior and reset `io.file.buffer.size` again according to `hive-site.xml`. 1. The configuration priority for setting Hadoop and Hive config here is not right, while literally, the order should be `spark > spark.hive > spark.hadoop > hive > hadoop` 2. This breaks `spark.buffer.size` congfig's behavior for tuning the IO performance w/ HDFS if there is an existing `io.file.buffer.size` in hive-site.xml ### Why are the changes needed? bugfix for configuration behavior and fix performance regression by that behavior change ### Does this PR introduce _any_ user-facing change? this pr restores silent user face change ### How was this patch tested? new tests Closes #31492 from yaooqinn/SPARK-34346-30. Authored-by: Kent Yao <yao@apache.org> Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
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Backport #31460 to 3.0
What changes were proposed in this pull request?
In many real-world cases, when interacting with hive catalog through Spark SQL, users may just share the
hive-site.xmlfor their hive jobs and make a copy toSPARK_HOME/conf w/o modification. In Spark, when we generate Hadoop configurations, we will usespark.buffer.size(65536)to resetio.file.buffer.size(4096). But when we load the hive-site.xml, we may ignore this behavior and resetio.file.buffer.sizeagain according tohive-site.xml.The configuration priority for setting Hadoop and Hive config here is not right, while literally, the order should be
spark > spark.hive > spark.hadoop > hive > hadoopThis breaks
spark.buffer.sizecongfig's behavior for tuning the IO performance w/ HDFS if there is an existingio.file.buffer.sizein hive-site.xmlWhy are the changes needed?
bugfix for configuration behavior and fix performance regression by that behavior change
Does this PR introduce any user-facing change?
this pr restores silent user face change
How was this patch tested?
new tests