Justin Miller created SPARK-17936: ------------------------------------- Summary: "CodeGenerator - failed to compile: org.codehaus.janino.JaninoRuntimeException: Code of" method Error Key: SPARK-17936 URL: https://issues.apache.org/jira/browse/SPARK-17936 Project: Spark Issue Type: Bug Components: Spark Core Affects Versions: 2.0.1 Reporter: Justin Miller
Greetings. I'm currently in the process of migrating a project I'm working on from Spark 1.6.2 to 2.0.1. The project uses Spark Streaming to convert Thrift structs coming from Kafka into Parquet files stored in S3. This conversion process works fine in 1.6.2 but I think there may be a bug in 2.0.1. I'll paste the stack trace below. 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 at org.codehaus.janino.CodeContext.makeSpace(CodeContext.java:941) at org.codehaus.janino.CodeContext.write(CodeContext.java:854) at org.codehaus.janino.UnitCompiler.writeShort(UnitCompiler.java:10242) at org.codehaus.janino.UnitCompiler.writeLdc(UnitCompiler.java:9058) Also, later on: 07:35:30.191 ERROR o.a.s.u.SparkUncaughtExceptionHandler - Uncaught exception in thread Thread[Executor task launch worker-6,5,run-main-group-0] java.lang.OutOfMemoryError: Java heap space I've seen similar issues posted, but those were always on the query side. I have a hunch that this is happening at write time as the error occurs after batchDuration. Here's the write snippet. stream. flatMap { case Success(row) => thriftParseSuccess += 1 Some(row) case Failure(ex) => thriftParseErrors += 1 logger.error("Error during deserialization: ", ex) None }.foreachRDD { rdd => val sqlContext = SQLContext.getOrCreate(rdd.context) transformer(sqlContext.createDataFrame(rdd, converter.schema)) .coalesce(coalesceSize) .write .mode(Append) .partitionBy(partitioning: _*) .parquet(parquetPath) } Please let me know if you can be of assistance and if there's anything I can do to help. Best, Justin -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org