Yuming Wang created SPARK-36290:
-----------------------------------
Summary: Push down join condition evaluation
Key: SPARK-36290
URL: https://issues.apache.org/jira/browse/SPARK-36290
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 3.3.0
Reporter: Yuming Wang
{code:scala}
val numRows = 1024 * 1024 * 15
spark.sql(s"CREATE TABLE t1 using parquet AS select id as a, id as b from
range(${numRows}L)")
spark.sql(s"CREATE TABLE t2 using parquet AS select id as a, id as b from
range(${numRows}L)")
val benchmark = new Benchmark("Benchmark push down join condition
evaluation", numRows, minNumIters = 5)
Seq(false, true).foreach { pushDownEnabled =>
val name = s"Join Condition Evaluation ${if (pushDownEnabled)
s"(Pushdown)" else ""}"
benchmark.addCase(name) { _ =>
withSQLConf("spark.sql.pushDownJoinConditionEvaluationevaluation" ->
s"$pushDownEnabled") {
spark.sql("SELECT t1.* FROM t1 JOIN t2 ON translate(t1.a, '123',
'abc') = translate(t2.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 push down join condition evaluation: Best Time(ms) Avg Time(ms)
Stdev(ms) Rate(M/s) Per Row(ns) Relative
-----------------------------------------------------------------------------------------------------------------------------
Join Condition Evaluation 32459 34521
1465 0.5 2063.7 1.0X
Join Condition Evaluation (Pushdown) 19483 20350
812 0.8 1238.7 1.7X
{noformat}
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