Takeshi Yamamuro created SPARK-26868:
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Summary: Duplicate error message for implicit cartesian product in
verbose explain
Key: SPARK-26868
URL: https://issues.apache.org/jira/browse/SPARK-26868
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 2.4.0
Reporter: Takeshi Yamamuro
Super trivial though, I just report this just in case (I think it would be nice
if we could print this error message in a cleaner way):
{code:java}
scala> Seq(1).toDF("id").write.saveAsTable("t1")
scala> Seq(1).toDF("id").write.saveAsTable("t2")
scala> sql("SELECT * FROM t1 JOIN t2").explain(true)
== Parsed Logical Plan ==
'Project [*]
+- 'Join Inner
:- 'UnresolvedRelation `t1`
+- 'UnresolvedRelation `t2`
== Analyzed Logical Plan ==
id: int, id: int
Project [id#14, id#15]
+- Join Inner
:- SubqueryAlias `default`.`t1`
: +- Relation[id#14] parquet
+- SubqueryAlias `default`.`t2`
+- Relation[id#15] parquet
== Optimized Logical Plan ==
org.apache.spark.sql.AnalysisException: Detected implicit cartesian product for
INNER join between logical plans
Relation[id#14] parquet
and
Relation[id#15] parquet
Join condition is missing or trivial.
Either: use the CROSS JOIN syntax to allow cartesian products between these
relations, or: enable implicit cartesian products by setting the configuration
variable spark.sql.crossJoin.enabled=true;
== Physical Plan ==
org.apache.spark.sql.AnalysisException: Detected implicit cartesian product for
INNER join between logical plans
Relation[id#14] parquet
and
Relation[id#15] parquet
Join condition is missing or trivial.
Either: use the CROSS JOIN syntax to allow cartesian products between these
relations, or: enable implicit cartesian products by setting the configuration
variable spark.sql.crossJoin.enabled=true;
{code}
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