Hi,
I am trying to execute Linear regression algorithm for Spark 2.02 and
hitting the below error when I am fitting my training set:
val lrModel = lr.fit(train)
It happened on 2.0.0 as well. Any resolution steps is appreciated.
*Error Snippet: *
16/11/20 18:03:45 *ERROR CodeGenerator: failed to compile:
org.codehaus.janino.JaninoRuntimeException: Code of method
"(Lorg/apache/spark/sql/catalyst/expressions/GeneratedClass;[Ljava/lang/Object;)V"
of class
"org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection"
grows beyond 64 KB*
/* 001 */ public java.lang.Object generate(Object[] references) {
/* 002 */ return new SpecificUnsafeProjection(references);
/* 003 */ }
/* 004 */
/* 005 */ class SpecificUnsafeProjection extends
org.apache.spark.sql.catalyst.expressions.UnsafeProjection {
/* 006 */
/* 007 */ private Object[] references;
/* 008 */ private org.apache.spark.sql.catalyst.expressions.ScalaUDF
scalaUDF;
/* 009 */ private scala.Function1 catalystConverter;
/* 010 */ private scala.Function1 converter;
/* 011 */ private scala.Function1 udf;
/* 012 */ private org.apache.spark.sql.catalyst.expressions.ScalaUDF
scalaUDF1;
/* 013 */ private scala.Function1 catalystConverter1;
/* 014 */ private scala.Function1 converter1;
/* 015 */ private scala.Function1 udf1;
/* 016 */ private org.apache.spark.sql.catalyst.expressions.ScalaUDF
scalaUDF2;
/* 017 */ private scala.Function1 catalystConverter2;
