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https://issues.apache.org/jira/browse/SPARK-18390?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-18390:
----------------------------------
Description:
I hit this error when I tried to test skewed joins.
{code}
val df2 = spark.range(1e9.toInt).withColumn("one", lit(1))
val df3 = spark.range(1e9.toInt)
df3.join(df2, df3("id") === df2("one")).count()
{code}
throws
{code}
org.apache.spark.sql.AnalysisException: Cartesian joins could be prohibitively
expensive and are disabled by default. To explicitly enable them, please set
spark.sql.crossJoin.enabled = true;
{code}
This is probably not the right behavior because it was not the user who
suggested using cartesian product. SQL picked it while knowing it is not
enabled.
was:
I hit this error when I tried to test skewed joins.
{code}
val df2 = spark.range(1e9.toInt).withColumn("one", lit(1))
val df3 = spark.range(1e9.toInt)
df3.join(df2, df3("id") === df2("one")).count()
{code}
throws
{noformat}
org.apache.spark.sql.AnalysisException: Cartesian joins could be prohibitively
expensive and are disabled by default. To explicitly enable them, please set
spark.sql.crossJoin.enabled = true;
{noformat}
This is probably not the right behavior because it was not the user who
suggested using cartesian product. SQL picked it while knowing it is not
enabled.
> Optimized plan tried to use Cartesian join when it is not enabled
> -----------------------------------------------------------------
>
> Key: SPARK-18390
> URL: https://issues.apache.org/jira/browse/SPARK-18390
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.0.1
> Reporter: Xiangrui Meng
>
> I hit this error when I tried to test skewed joins.
> {code}
> val df2 = spark.range(1e9.toInt).withColumn("one", lit(1))
> val df3 = spark.range(1e9.toInt)
> df3.join(df2, df3("id") === df2("one")).count()
> {code}
> throws
> {code}
> org.apache.spark.sql.AnalysisException: Cartesian joins could be
> prohibitively expensive and are disabled by default. To explicitly enable
> them, please set spark.sql.crossJoin.enabled = true;
> {code}
> This is probably not the right behavior because it was not the user who
> suggested using cartesian product. SQL picked it while knowing it is not
> enabled.
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