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https://issues.apache.org/jira/browse/SPARK-36763?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17418386#comment-17418386
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Yuming Wang commented on SPARK-36763:
-------------------------------------
Benchmark and benchmark result:
{code:scala}
import org.apache.spark.benchmark.Benchmark
val numRows = 1024 * 1024 * 10
spark.sql(s"CREATE TABLE t1 using parquet AS select id AS a, id AS b FROM
range(${numRows}L)")
val benchmark = new Benchmark("Benchmark pull out ordering expressions",
numRows, minNumIters = 5)
Seq(false, true).foreach { pullOutEnabled =>
val name = s"Pull out ordering expressions ${if (pullOutEnabled) "(Enabled)"
else "(Disabled)"}"
benchmark.addCase(name) { _ =>
withSQLConf("spark.sql.pullOutOrderingExpressions" -> s"$pullOutEnabled") {
spark.sql("SELECT t1.* FROM t1 ORDER BY translate(t1.a, '123',
'abc')").write.format("noop").mode("Overwrite").save()
}
}
}
benchmark.run()
{code}
{noformat}
Java HotSpot(TM) 64-Bit Server VM 1.8.0_251-b08 on Mac OS X 10.15.7
Intel(R) Core(TM) i9-9980HK CPU @ 2.40GHz
Benchmark pull out ordering expressions: Best Time(ms) Avg Time(ms)
Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Pull out ordering expressions (Disabled) 9232 9753
867 1.1 880.4 1.0X
Pull out ordering expressions (Enabled) 7084 7462
370 1.5 675.5 1.3X
{noformat}
> Pull out ordering expressions
> -----------------------------
>
> Key: SPARK-36763
> URL: https://issues.apache.org/jira/browse/SPARK-36763
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Yuming Wang
> Priority: Major
>
> Similar to
> [PullOutGroupingExpressions|https://github.com/apache/spark/blob/7fd3f8f9ec55b364525407213ba1c631705686c5/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PullOutGroupingExpressions.scala#L48].
> We can pull out ordering expressions to improve order performance. For
> example:
> {code:scala}
> sql("create table t1(a int, b int) using parquet")
> sql("insert into t1 values (1, 2)")
> sql("insert into t1 values (3, 4)")
> sql("select * from t1 order by a - b").explain
> {code}
> {noformat}
> == Physical Plan ==
> AdaptiveSparkPlan isFinalPlan=false
> +- Sort [(a#12 - b#13) ASC NULLS FIRST], true, 0
> +- Exchange rangepartitioning((a#12 - b#13) ASC NULLS FIRST, 5),
> ENSURE_REQUIREMENTS, [id=#39]
> +- FileScan parquet default.t1[a#12,b#13]
> {noformat}
> The {{Subtract}} will be evaluated 4 times.
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