Details
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Improvement
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Status: Resolved
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Major
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Resolution: Duplicate
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3.1.1
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None
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None
Description
InferFiltersFromConstraints rule will generates too many constraints when there are many aliases in Project, . For example:
test("Expression explosion when analyze test") { RuleExecutor.resetMetrics() Seq((1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)) .toDF("a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n") .write.saveAsTable("test") val df = spark.table("test") val df2 = df.filter("a+b+c+d+e+f+g+h+i+j+k+l+m+n > 100") val df3 = df2.select('a as 'a1, 'b as 'b1, 'c as 'c1, 'd as 'd1, 'e as 'e1, 'f as 'f1, 'g as 'g1, 'h as 'h1, 'i as 'i1, 'j as 'j1, 'k as 'k1, 'l as 'l1, 'm as 'm1, 'n as 'n1) val df4 = df3.join(df2, df3("a1") === df2("a")) df4.explain(true) logWarning(RuleExecutor.dumpTimeSpent()) }
So we need to optimize InferFiltersFromConstraints rule to improve performance.
Attachments
Issue Links
- duplicates
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SPARK-33152 SPIP: Constraint Propagation code causes OOM issues or increasing compilation time to hours
- In Progress
- links to