Stavros Kontopoulos created SPARK-17959:
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Summary: spark.sql.join.preferSortMergeJoin has no effect for
simple join
Key: SPARK-17959
URL: https://issues.apache.org/jira/browse/SPARK-17959
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.0.1
Reporter: Stavros Kontopoulos
Example code:
val df = spark.sparkContext.parallelize(List(("A", 10, "dss@s1"), ("A", 20,
"dss@s2"),
("B", 1, "dss@qqa"), ("B", 2, "dss@qqb"))).toDF("Group", "Amount",
"Email")
df.as("a").join(df.as("b"))
.where($"a.Group" === $"b.Group")
.explain()
I always get the SortMerge strategy even if i set
spark.sql.join.preferSortMergeJoin to false since:
sinzeInBytes = 2^63-1
https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala#L101
and thus:
condition here:
https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala#L127
is always false...
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