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From Richard Xin <richardxin...@yahoo.com.INVALID>
Subject Re: Issue creating row with java.util.Map type
Date Fri, 27 Jan 2017 20:15:19 GMT
try
Row newRow = RowFactory.create(row.getString(0), row.getString(1), row.getMap(2)); 

    On Friday, January 27, 2017 10:52 AM, Ankur Srivastava <ankur.srivastava@gmail.com>
wrote:
 

 + DEV Mailing List
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 2.11public 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.creat e("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)

ThanksAnkur



   
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