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https://issues.apache.org/jira/browse/SPARK-23172?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Takeshi Yamamuro resolved SPARK-23172.
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Resolution: Won't Fix
> Expand the ReorderJoin rule to handle Project nodes
> ---------------------------------------------------
>
> Key: SPARK-23172
> URL: https://issues.apache.org/jira/browse/SPARK-23172
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.2.1
> Reporter: Takeshi Yamamuro
> Priority: Minor
> Labels: bulk-closed
>
> The current `ReorderJoin` optimizer rule cannot flatten a pattern `Join ->
> Project -> Join` because `ExtractFiltersAndInnerJoins`
> doesn't handle `Project` nodes. So, the current master cannot reorder joins
> in a query below;
> {code}
> val df1 = spark.range(100).selectExpr("id % 10 AS k0", s"id % 10 AS k1", s"id
> % 10 AS k2", "id AS v1")
> val df2 = spark.range(10).selectExpr("id AS k0", "id AS v2")
> val df3 = spark.range(10).selectExpr("id AS k1", "id AS v3")
> val df4 = spark.range(10).selectExpr("id AS k2", "id AS v4")
> df1.join(df2, "k0").join(df3, "k1").join(df4, "k2").explain(true)
> == Analyzed Logical Plan ==
> k2: bigint, k1: bigint, k0: bigint, v1: bigint, v2: bigint, v3: bigint, v4:
> bigint
> Project [k2#5L, k1#4L, k0#3L, v1#6L, v2#16L, v3#24L, v4#32L]
> +- Join Inner, (k2#5L = k2#31L)
> :- Project [k1#4L, k0#3L, k2#5L, v1#6L, v2#16L, v3#24L]
> : +- Join Inner, (k1#4L = k1#23L)
> : :- Project [k0#3L, k1#4L, k2#5L, v1#6L, v2#16L]
> : : +- Join Inner, (k0#3L = k0#15L)
> : : :- Project [(id#0L % cast(10 as bigint)) AS k0#3L, (id#0L %
> cast(10 as bigint)) AS k1#4L, (id#0L % cast(10 as bigint)) AS k2#5L, id#0
> L AS v1#6L]
> : : : +- Range (0, 100, step=1, splits=Some(4))
> : : +- Project [id#12L AS k0#15L, id#12L AS v2#16L]
> : : +- Range (0, 10, step=1, splits=Some(4))
> : +- Project [id#20L AS k1#23L, id#20L AS v3#24L]
> : +- Range (0, 10, step=1, splits=Some(4))
> +- Project [id#28L AS k2#31L, id#28L AS v4#32L]
> +- Range (0, 10, step=1, splits=Some(4))
> {code}
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