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From Ankur Srivastava <ankur.srivast...@gmail.com>
Subject Re: Issue creating row with java.util.Map type
Date Fri, 27 Jan 2017 18:52:27 GMT
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On Thu, Jan 26, 2017 at 5:12 PM, Ankur Srivastava <
ankur.srivastava@gmail.com> wrote:

> Hi,
>
> I am trying to map a Dataset with rows which have a map attribute. When I
> try to create a Row with the map attribute I get cast errors. I am able to
> reproduce the issue with the below sample code. The surprising thing is
> with same schema I am able to create a dataset from the List of rows.
>
> I am on Spark 2.0 and scala 2.11
>
> public static void main(String[] args) {
>     StructType schema = new StructType().add("src", DataTypes.StringType)
>             .add("dst", DataTypes.StringType)
>             .add("freq", DataTypes.createMapType(DataTypes.StringType, DataTypes.IntegerType));
>     List<Row> inputData = new ArrayList<>();
>     inputData.add(RowFactory.create("1", "2", new HashMap<>()));
>     SparkSession sparkSession = SparkSession
>             .builder()
>             .appName("IPCountFilterTest")
>             .master("local")
>             .getOrCreate();
>
>     Dataset<Row> out = sparkSession.createDataFrame(inputData, schema);
>     out.show();
>
>     Encoder<Row> rowEncoder = RowEncoder.apply(schema);
>     out.map((MapFunction<Row, Row>) row -> {
>         Row newRow = RowFactory.create(row.getString(0), row.getString(1), new HashMap<String,
Integer>());
>
>        //Row newRow = RowFactory.create(row.getString(0), row.getString(1), row.getJavaMap(2));
>
>         return newRow;
>     }, rowEncoder).show();
> }
>
> Below is the error:
>
> 17/01/26 17:05:30 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID
> 0)
> java.lang.RuntimeException: java.util.HashMap is not a valid external type
> for schema of map<string,int>
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$
> GeneratedIterator.processNext(Unknown Source)
> at org.apache.spark.sql.execution.BufferedRowIterator.
> hasNext(BufferedRowIterator.java:43)
> at org.apache.spark.sql.execution.WholeStageCodegenExec$$
> anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$
> 4.apply(SparkPlan.scala:246)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$
> 4.apply(SparkPlan.scala:240)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$
> 1$$anonfun$apply$24.apply(RDD.scala:784)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$
> 1$$anonfun$apply$24.apply(RDD.scala:784)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(
> MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:85)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(
> ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(
> ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 17/01/26 17:05:30 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0,
> localhost): java.lang.RuntimeException: java.util.HashMap is not a valid
> external type for schema of map<string,int>
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$
> GeneratedIterator.processNext(Unknown Source)
> at org.apache.spark.sql.execution.BufferedRowIterator.
> hasNext(BufferedRowIterator.java:43)
> at org.apache.spark.sql.execution.WholeStageCodegenExec$$
> anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$
> 4.apply(SparkPlan.scala:246)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$
> 4.apply(SparkPlan.scala:240)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$
> 1$$anonfun$apply$24.apply(RDD.scala:784)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$
> 1$$anonfun$apply$24.apply(RDD.scala:784)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(
> MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:85)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(
> ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(
> ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
>
>
> Thanks
> Ankur
>

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