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https://issues.apache.org/jira/browse/SPARK-26057?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Pavel Parkhomenko closed SPARK-26057.
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Thank you very much, it seems fine in 2.4.1
> Table joining is broken in Spark 2.4
> ------------------------------------
>
> Key: SPARK-26057
> URL: https://issues.apache.org/jira/browse/SPARK-26057
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: Pavel Parkhomenko
> Assignee: Marco Gaido
> Priority: Major
> Fix For: 2.4.1, 3.0.0
>
>
> This sample works in spark-shell 2.3.1 and throws an exception in 2.4.0
> {code:java}
> import java.util.Arrays.asList
> import org.apache.spark.sql.Row
> import org.apache.spark.sql.types._
> spark.createDataFrame(
> asList(
> Row("1-1", "sp", 6),
> Row("1-1", "pc", 5),
> Row("1-2", "pc", 4),
> Row("2-1", "sp", 3),
> Row("2-2", "pc", 2),
> Row("2-2", "sp", 1)
> ),
> StructType(List(StructField("id", StringType), StructField("layout",
> StringType), StructField("n", IntegerType)))
> ).createOrReplaceTempView("cc")
> spark.createDataFrame(
> asList(
> Row("sp", 1),
> Row("sp", 1),
> Row("sp", 2),
> Row("sp", 3),
> Row("sp", 3),
> Row("sp", 4),
> Row("sp", 5),
> Row("sp", 5),
> Row("pc", 1),
> Row("pc", 2),
> Row("pc", 2),
> Row("pc", 3),
> Row("pc", 4),
> Row("pc", 4),
> Row("pc", 5)
> ),
> StructType(List(StructField("layout", StringType), StructField("ts",
> IntegerType)))
> ).createOrReplaceTempView("p")
> spark.createDataFrame(
> asList(
> Row("1-1", "sp", 1),
> Row("1-1", "sp", 2),
> Row("1-1", "pc", 3),
> Row("1-2", "pc", 3),
> Row("1-2", "pc", 4),
> Row("2-1", "sp", 4),
> Row("2-1", "sp", 5),
> Row("2-2", "pc", 6),
> Row("2-2", "sp", 6)
> ),
> StructType(List(StructField("id", StringType), StructField("layout",
> StringType), StructField("ts", IntegerType)))
> ).createOrReplaceTempView("c")
> spark.sql("""
> SELECT cc.id, cc.layout, count(*) as m
> FROM cc
> JOIN p USING(layout)
> WHERE EXISTS(SELECT 1 FROM c WHERE c.id = cc.id AND c.layout = cc.layout
> AND c.ts > p.ts)
> GROUP BY cc.id, cc.layout
> """).createOrReplaceTempView("pcc")
> spark.sql("SELECT * FROM pcc ORDER BY id, layout").show
> spark.sql("""
> SELECT cc.id, cc.layout, n, m
> FROM cc
> LEFT OUTER JOIN pcc ON pcc.id = cc.id AND pcc.layout = cc.layout
> """).createOrReplaceTempView("k")
> spark.sql("SELECT * FROM k ORDER BY id, layout").show
> {code}
> Actually I tried to catch another bug: similar calculations with joins and
> nested queries have different results in Spark 2.3.1 and 2.4.0, but when I
> tried to create a minimal example I received exception
> {code:java}
> java.lang.RuntimeException: Couldn't find id#0 in
> [id#38,layout#39,ts#7,id#10,layout#11,ts#12]
> {code}
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