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Posted to issues@spark.apache.org by "Bruce Robbins (Jira)" <ji...@apache.org> on 2022/04/14 19:03:00 UTC
[jira] [Commented] (SPARK-38667) Optimizer generates error when using inner join along with sequence
[ https://issues.apache.org/jira/browse/SPARK-38667?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17522500#comment-17522500 ]
Bruce Robbins commented on SPARK-38667:
---------------------------------------
Strangely, I cannot reproduce on 3.2.1 (or master). Maybe I am missing some configuration?
My optimized plan doesn't contain the size check in the {{Join}}:
{noformat}
== Optimized Logical Plan ==
Generate explode(sequence(a2#5, b2#13, Some(1), Some(America/Vancouver))), false, [x#25]
+- Join Inner, ((a2#5 < b2#13) AND (a1#4 = b1#12))
:- LocalRelation [a1#4, a2#5]
+- LocalRelation [b1#12, b2#13]
{noformat}
> Optimizer generates error when using inner join along with sequence
> -------------------------------------------------------------------
>
> Key: SPARK-38667
> URL: https://issues.apache.org/jira/browse/SPARK-38667
> Project: Spark
> Issue Type: Bug
> Components: Optimizer
> Affects Versions: 3.2.1
> Reporter: Lars
> Priority: Major
>
> This issue occurred in a more complex scenario, so I've broken it down into a simple case.
> {*}Steps to reproduce{*}: Execute the following example. The code should run without errors, but instead a *java.lang.IllegalArgumentException: Illegal sequence boundaries: 4 to 2 by 1* is thrown.
> {code:java}
> package com.example
> import org.apache.spark.sql.SparkSession
> import org.apache.spark.sql.functions._
> object SparkIssue {
> def main(args: Array[String]): Unit = {
> val spark = SparkSession
> .builder()
> .master("local[*]")
> .getOrCreate()
> val dfA = spark
> .createDataFrame(Seq((1, 1), (2, 4)))
> .toDF("a1", "a2")
> val dfB = spark
> .createDataFrame(Seq((1, 5), (2, 2)))
> .toDF("b1", "b2")
> dfA.join(dfB, dfA("a1") === dfB("b1"), "inner")
> .where(col("a2") < col("b2"))
> .withColumn("x", explode(sequence(col("a2"), col("b2"), lit(1))))
> .show()
> spark.stop()
> }
> }
> {code}
> When I look at the Optimized Logical Plan I can see that the Inner Join and the Filter are brought together, with an additional check for an empty Sequence. The exception is thrown because the Sequence check is executed before the Filter.
> {code:java}
> == Parsed Logical Plan ==
> 'Project [a1#4, a2#5, b1#12, b2#13, explode(sequence('a2, 'b2, Some(1), None)) AS x#24]
> +- Filter (a2#5 < b2#13)
> +- Join Inner, (a1#4 = b1#12)
> :- Project [_1#0 AS a1#4, _2#1 AS a2#5]
> : +- LocalRelation [_1#0, _2#1]
> +- Project [_1#8 AS b1#12, _2#9 AS b2#13]
> +- LocalRelation [_1#8, _2#9]
> == Analyzed Logical Plan ==
> a1: int, a2: int, b1: int, b2: int, x: int
> Project [a1#4, a2#5, b1#12, b2#13, x#25]
> +- Generate explode(sequence(a2#5, b2#13, Some(1), Some(Europe/Berlin))), false, [x#25]
> +- Filter (a2#5 < b2#13)
> +- Join Inner, (a1#4 = b1#12)
> :- Project [_1#0 AS a1#4, _2#1 AS a2#5]
> : +- LocalRelation [_1#0, _2#1]
> +- Project [_1#8 AS b1#12, _2#9 AS b2#13]
> +- LocalRelation [_1#8, _2#9]
> == Optimized Logical Plan ==
> Generate explode(sequence(a2#5, b2#13, Some(1), Some(Europe/Berlin))), false, [x#25]
> +- Join Inner, (((size(sequence(a2#5, b2#13, Some(1), Some(Europe/Berlin)), true) > 0) AND (a2#5 < b2#13)) AND (a1#4 = b1#12))
> :- LocalRelation [a1#4, a2#5]
> +- LocalRelation [b1#12, b2#13]
> == Physical Plan ==
> Generate explode(sequence(a2#5, b2#13, Some(1), Some(Europe/Berlin))), [a1#4, a2#5, b1#12, b2#13], false, [x#25]
> +- *(1) BroadcastHashJoin [a1#4], [b1#12], Inner, BuildRight, ((size(sequence(a2#5, b2#13, Some(1), Some(Europe/Berlin)), true) > 0) AND (a2#5 < b2#13)), false
> :- *(1) LocalTableScan [a1#4, a2#5]
> +- BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [id=#15]
> +- LocalTableScan [b1#12, b2#13]
> {code}
>
>
>
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