[
https://issues.apache.org/jira/browse/SPARK-28742?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ivan Tsukanov updated SPARK-28742:
----------------------------------
Description:
The following code
{code:java}
val rdd = sparkContext.makeRDD(Seq(Row("1")))
val schema = StructType(Seq(
StructField("c1", StringType)
))
val df = sparkSession.createDataFrame(rdd, schema)
val column = when(col("c1").isin("1"), "1").otherwise(col("c1"))
(1 to 9).foldLeft(df) { case (acc, _) =>
val res = acc.withColumn("c1", column)
res.take(1)
res
}
{code}
falls with
{code:java}
java.lang.StackOverflowError
at org.codehaus.janino.CodeContext.flowAnalysis(CodeContext.java:395)
...{code}
Probably, the problem is spark generates unexplainable big Physical Plan -
{code:java}
val rdd = sparkContext.makeRDD(Seq(Row("1")))
val schema = StructType(Seq(
StructField("c1", StringType)
))
val df = sparkSession.createDataFrame(rdd, schema)
val column = when(col("c1").isin("1"), "1").otherwise(col("c1"))
val result = (1 to 9).foldLeft(df) { case (acc, _) =>
acc.withColumn("c1", column)
}
result.explain()
{code}
it shows a plan 18936 symbols length
{code:java}
== Physical Plan ==
*(1) Project [CASE WHEN (CASE WHEN (CASE WHEN (CASE WHEN (CASE WHEN (CASE WHEN
(CASE .... 18936 symbols
+- Scan ExistingRDD[c1#1] {code}
was:
The following code
{code:java}
val rdd = sparkContext.makeRDD(Seq(Row("1")))
val schema = StructType(Seq(
StructField("c1", StringType)
))
val df = sparkSession.createDataFrame(rdd, schema)
val column = when(col("c1").isin("1"), "1").otherwise(col("c1"))
(1 to 9).foldLeft(df) { case (acc, _) =>
val res = acc.withColumn("c1", column)
res.take(1)
res
}
{code}
falls with
{code:java}
java.lang.StackOverflowError
at org.codehaus.janino.CodeContext.flowAnalysis(CodeContext.java:395)
...{code}
Probably, the problem is spark generates unexplainable big Physical Plan -
{code:java}
val rdd = sparkContext.makeRDD(Seq(Row("1")))
val schema = StructType(Seq(
StructField("c1", StringType)
))
val df = sparkSession.createDataFrame(rdd, schema)
val column = when(col("c1").isin("1"), "1").otherwise(col("c1"))
val result = (1 to 9).foldLeft(df) { case (acc, _) =>
acc.withColumn("c1", column)
}
result.explain()
{code}
it shows a plan 18936 symbols length
{code:java}
== Physical Plan ==
*(1) Project [CASE WHEN (CASE WHEN (CASE WHEN (CASE WHEN (CASE WHEN (CASE WHEN
(CASE ....
+- Scan ExistingRDD[c1#1] {code}
> StackOverflowError when using otherwise(col()) in a loop
> --------------------------------------------------------
>
> Key: SPARK-28742
> URL: https://issues.apache.org/jira/browse/SPARK-28742
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.4.0, 2.4.3
> Reporter: Ivan Tsukanov
> Priority: Major
>
> The following code
> {code:java}
> val rdd = sparkContext.makeRDD(Seq(Row("1")))
> val schema = StructType(Seq(
> StructField("c1", StringType)
> ))
> val df = sparkSession.createDataFrame(rdd, schema)
> val column = when(col("c1").isin("1"), "1").otherwise(col("c1"))
> (1 to 9).foldLeft(df) { case (acc, _) =>
> val res = acc.withColumn("c1", column)
> res.take(1)
> res
> }
> {code}
> falls with
> {code:java}
> java.lang.StackOverflowError
> at org.codehaus.janino.CodeContext.flowAnalysis(CodeContext.java:395)
> ...{code}
> Probably, the problem is spark generates unexplainable big Physical Plan -
> {code:java}
> val rdd = sparkContext.makeRDD(Seq(Row("1")))
> val schema = StructType(Seq(
> StructField("c1", StringType)
> ))
> val df = sparkSession.createDataFrame(rdd, schema)
> val column = when(col("c1").isin("1"), "1").otherwise(col("c1"))
> val result = (1 to 9).foldLeft(df) { case (acc, _) =>
> acc.withColumn("c1", column)
> }
> result.explain()
> {code}
> it shows a plan 18936 symbols length
> {code:java}
> == Physical Plan ==
> *(1) Project [CASE WHEN (CASE WHEN (CASE WHEN (CASE WHEN (CASE WHEN (CASE
> WHEN (CASE .... 18936 symbols
> +- Scan ExistingRDD[c1#1] {code}
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