Spark 2.3, Spark 2.4 Local Mode

[csapparapu]

Hello,

I am not able to run a Spark Big Data Batch job using Spark 2.3 or Spark 2.4 version locally.

I would like to know if Talend Big Data Platform V7.X works with Spark 2.3 or Spark 2.4 in local mode.

I get the following exception. Spark 2.2 version works fine.

java.lang.IllegalArgumentException
	at org.apache.xbean.asm5.ClassReader.<init>(Unknown Source)
	at org.apache.xbean.asm5.ClassReader.<init>(Unknown Source)
	at org.apache.xbean.asm5.ClassReader.<init>(Unknown Source)
	at org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:46)
	at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:449)
	at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:432)
	at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
	at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:103)
	at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:103)
	at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:230)
	at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:40)
	at scala.collection.mutable.HashMap$$anon$1.foreach(HashMap.scala:103)
	at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
	at org.apache.spark.util.FieldAccessFinder$$anon$3.visitMethodInsn(ClosureCleaner.scala:432)
	at org.apache.xbean.asm5.ClassReader.a(Unknown Source)
	at org.apache.xbean.asm5.ClassReader.b(Unknown Source)
	at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
	at org.apache.xbean.asm5.ClassReader.accept(Unknown Source)
	at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:262)
	at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:261)
	at scala.collection.immutable.List.foreach(List.scala:381)
	at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:261)
	at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:159)
	at org.apache.spark.SparkContext.clean(SparkContext.scala:2292)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2066)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2092)
	at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:939)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
	at org.apache.spark.rdd.RDD.collect(RDD.scala:938)
	at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$.mergeSchemasInParallel(ParquetFileFormat.scala:612)
	at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat.inferSchema(ParquetFileFormat.scala:241)
	at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$8.apply(DataSource.scala:202)
	at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$8.apply(DataSource.scala:202)
	at scala.Option.orElse(Option.scala:289)
	at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:201)
	at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:392)
	at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:239)
	at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:227)
	at org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:620)
	at org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:604)

Thanks,

Chandana

[manodwhb]

@csapparapu , I have use Talend Cloud Real-time Big Data Platform,where 2.3 is working in local mode.

[csapparapu]

@manodwhb, thanks for your response.

After spending a lot of time on this, I realized the problem is with Talend Big Data platform.

I've raised a bug on TalendForge.

https://jira.talendforge.org/browse/TBD-9576

[csapparapu]

So the bug I opened was rejected and I dug deeper to see what's wrong with my settings.

Apparently there is nothing wrong with my settings, just one component, tLogRow doesn't work.

When I used other components, it was working fine with Spark 2.4.

The following job was successful.