[ https://issues.apache.org/jira/browse/SPARK-22226?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-22226: ------------------------------ Comment: was deleted (was: Would the resolution to the linked issue not resolve this? because it's already pretty far along, I don't know if it's useful to solve specific cases differently.) > Code generation fails for dataframes with 10000 columns > ------------------------------------------------------- > > Key: SPARK-22226 > URL: https://issues.apache.org/jira/browse/SPARK-22226 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.2.0 > Reporter: Marco Gaido > > Code generation for very wide datasets can fail because of the Constant Pool > limit reached. > This can be caused by many reasons. One of them is that we are currently > splitting the definition of the generated methods among several > {{NestedClass}} but all these methods are called in the main class. Since we > have entries added to the constant pool for each method invocation, this is > limiting the number of rows and is leading for very wide dataset to: > {noformat} > org.codehaus.janino.JaninoRuntimeException: Constant pool for class > org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificMutableProjection > has grown past JVM limit of 0xFFFF > {noformat} -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org