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

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 1.2.2, 1.3.1
• Fix Version/s: 1.4.0
• Component/s: SQL
• Assignee: Josh Rosen
• Reporter: Pavel
• Created: 14/Jul/15 12:05
• Updated: 16/Sep/15 08:08
• Resolved: 15/Sep/15 22:28

Description

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 containing a field of type java.util.Map<String, String>. 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]

**also this occurs for fields of custom POJO classes:

scala.MatchError: class com.test.MyClass (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]

**also occurs for Calendar type:

scala.MatchError: class java.util.Calendar (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]