The fromRow method is removed in spark3.0. And the new API is : val encoder = RowEncoder(schema) val row = encoder.createDeserializer().apply(internalRow)
Thanks, Jia Ke From: Wenchen Fan <cloud0...@gmail.com> Sent: Friday, November 27, 2020 9:32 PM To: Jason Jun <jaes...@gmail.com> Cc: Spark dev list <dev@spark.apache.org> Subject: Re: How to convert InternalRow to Row. InternalRow is an internal/developer API that might change overtime. Right now, the way to convert it to Row is to use `RowEncoder`, but you need to know the data schema: val encoder = RowEncoder(schema) val row = encoder.fromRow(internalRow) On Fri, Nov 27, 2020 at 6:16 AM Jason Jun <jaes...@gmail.com<mailto:jaes...@gmail.com>> wrote: Hi dev, i'm working on generating custom pipeline on the fly, which means I generate SparkPlan along with each node in my pipeline. So, my pipeline end up with PipeLineRelation extending BaseRelation like: case class PipeLineRelation(schema: StructType, pipeLinePlan: LogicalPlan)(@transient override val sqlContext: SQLContext) extends BaseRelation with PrunedFilteredScan { override def needConversion: Boolean = true override def unhandledFilters(filters: Array[Filter]): Array[Filter] = filters override def buildScan(requiredColumns: Array[String], filters: Array[Filter]): RDD[Row] = { ... val sparkPlan = sqlContext.sparkSession.sessionState.planner.plan(pipeLinePlan).next() sparkPlan.execute().mapPartitions { itr => itr.map { internalRow => val values = prunedColumnWithIndex.map { case (index, columnType) => internalRow.get(index, columnType) } Row.fromSeq(values) // Line 46 } } } } I'm getting InternalRow by executing subsequent Spark Plan, and converting it into Row using Row.fromSeq(). i saw values at Line 46 are what i exactly want : ------ values = {Object[5]@14277} 0 = {UTF8String@14280} "Thin" 1 = {UTF8String@14281} "Cell phone" 2 = {Integer@14282} 6000 3 = {Integer@14283} 2 4 = {Integer@14284} 12000 but execution of Line 46 ended up with this error : ------ Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): java.lang.IllegalArgumentException: The value (2) of the type (java.lang.Integer) cannot be converted to the string type at org.apache.spark.sql.catalyst.CatalystTypeConverters$StringConverter$.toCatalystImpl(CatalystTypeConverters.scala:290) at org.apache.spark.sql.catalyst.CatalystTypeConverters$StringConverter$.toCatalystImpl(CatalystTypeConverters.scala:285) at org.apache.spark.sql.catalyst.CatalystTypeConverters$CatalystTypeConverter.toCatalyst(CatalystTypeConverters.scala:103) at org.apache.spark.sql.catalyst.CatalystTypeConverters$$anonfun$createToCatalystConverter$2.apply(CatalystTypeConverters.scala:396) at org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$3.apply(ExistingRDD.scala:60) at org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$3.apply(ExistingRDD.scala:57) at scala.collection.Iterator$$anon$11.next(Iterator.scala:370) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$11$$anon$1.hasNext(WholeStageCodegenExec.scala:619) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:121) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:748) ---- Is it existing bug? otherwise how do I convert InternalRow to Row? Thanks in advance. Jason
