[jira] [Created] (SPARK-9033) scala.MatchError: interface java.util.Map (of class java.lang.Class) with Spark SQL

["Pavel (JIRA)" <ji...@apache.org>]

Pavel created SPARK-9033:
----------------------------

             Summary: scala.MatchError: interface java.util.Map (of class java.lang.Class) with Spark SQL
                 Key: SPARK-9033
                 URL: https://issues.apache.org/jira/browse/SPARK-9033
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.3.1, 1.2.2
            Reporter: Pavel


I've a java.util.Map<String, String> field in a POJO class and I'm trying to use it to createDataFrame (1.3.1) / applySchema(1.2.2) with the SQLContext and getting following error in both 1.2.2 & 1.3.1 versions of the Spark SQL:

*sample code:
SQLContext sqlCtx = new SQLContext(sc.sc());
JavaRDD<Event> rdd = sc.textFile("/path").map(line-> Event.fromString(line)); //text line is splitted and assigned to respective field of the event class here
DataFrame schemaRDD  = sqlCtx.createDataFrame(rdd, Event.class); <-- error thrown here
schemaRDD.registerTempTable("events");


Event class is a Serializable. This issue occurs also with Spark streaming when used with SQL.

JavaDStream<String> receiverStream = jssc.receiverStream(new StreamingReceiver());
JavaDStream<String> windowDStream = receiverStream.window(WINDOW_LENGTH, SLIDE_INTERVAL);
jssc.checkpoint("event-streaming");

windowDStream.foreachRDD(evRDD -> {
	if(evRDD.count() == 0) return null;
    DataFrame schemaRDD = sqlCtx.createDataFrame(evRDD, Event.class);
	schemaRDD.registerTempTable("events");
	...
}


*error:
scala.MatchError: interface java.util.Map (of class java.lang.Class)
	at org.apache.spark.sql.SQLContext$$anonfun$getSchema$1.apply(SQLContext.scala:1193) ~[spark-sql_2.10-1.3.1.jar:1.3.1]
	at org.apache.spark.sql.SQLContext$$anonfun$getSchema$1.apply(SQLContext.scala:1192) ~[spark-sql_2.10-1.3.1.jar:1.3.1]
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) ~[scala-library-2.10.5.jar:na]
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) ~[scala-library-2.10.5.jar:na]
	at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) ~[scala-library-2.10.5.jar:na]
	at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108) ~[scala-library-2.10.5.jar:na]
	at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) ~[scala-library-2.10.5.jar:na]
	at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108) ~[scala-library-2.10.5.jar:na]
	at org.apache.spark.sql.SQLContext.getSchema(SQLContext.scala:1192) ~[spark-sql_2.10-1.3.1.jar:1.3.1]
	at org.apache.spark.sql.SQLContext.createDataFrame(SQLContext.scala:437) ~[spark-sql_2.10-1.3.1.jar:1.3.1]
	at org.apache.spark.sql.SQLContext.createDataFrame(SQLContext.scala:465) ~[spark-sql_2.10-1.3.1.jar:1.3.1]



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