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.srivast...@gmail.com> wrote:
+ DEV Mailing List
On Thu, Jan 26, 2017 at 5:12 PM, Ankur Srivastava <ankur.srivast...@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
