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Why the below Spark operation on Dataframe API shows the below error?.Please refer the attached data and commands executed.What am I missing here?

Explorer

I have given the data in the csv file and the commands used.All I wanted was to read the csv file with my own schema using Dataframe and execute it with SparkSql.I'm just learning spark and excuse me if the question looks silly.I appreciate everyone who is willing to help me.

1,Fruit of the Loom Girls Socks,7.97,0.60,8.57
2,Rawlings Little League Baseball,2.97,0.22,3.19
3,Secret Antiperspirant,1.29,0.10,1.39
4,Deadpool DVD,14.96,1.12,16.08
5,Maxwell House Coffee 28 oz,7.28,0.55,7.83
6,Banana Boat Sunscreen,6.68,0.50,7.18
7,Wrench Set,10.00, 0.75, 10.75
8,M and Mz,8.98,0.67,9.65
9,Bertoli Alfredo Sauce,2.12, 0.16,  2.28
10,Large Paperclips,6.19, 0.46,  6.65
case class Person(index:Long,item:String,cost:Long,Tax:Long,Total:Long)

val peopleDs = sc.textFile("hdpcd/Samplecsv").map(_.split(",").map(_.trim)).map(attributes=> Person(attributes(0).toLong,attributes(1).toString,attributes(2).toLong,attributes(3).toLong,attributes(4).toLong)).toDF()

peopleDs.createOrReplaceTempView("people")
val res = spark.sql("Select * from people")
res.collect()

(0 + 2) / 2]18/05/13 10:03:28 ERROR Executor: Exception in task 1.0 in stage 0.0 (TID 1)
java.lang.NumberFormatException: For input string: "6.68"
        at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
        at java.lang.Long.parseLong(Long.java:589)
        at java.lang.Long.parseLong(Long.java:631)
        at scala.collection.immutable.StringLike$class.toLong(StringLike.scala:276)
        at scala.collection.immutable.StringOps.toLong(StringOps.scala:29)
        at $line15.$read$iw$iw$iw$iw$iw$iw$iw$iw$anonfun$2.apply(<console>:26)
        at $line15.$read$iw$iw$iw$iw$iw$iw$iw$iw$anonfun$2.apply(<console>:26)
        at scala.collection.Iterator$anon$11.next(Iterator.scala:409)
        at scala.collection.Iterator$anon$11.next(Iterator.scala:409)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$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$1.hasNext(WholeStageCodegenExec.scala:395)
        at org.apache.spark.sql.execution.SparkPlan$anonfun$2.apply(SparkPlan.scala:234)
        at org.apache.spark.sql.execution.SparkPlan$anonfun$2.apply(SparkPlan.scala:228)
        at org.apache.spark.rdd.RDD$anonfun$mapPartitionsInternal$1$anonfun$apply$25.apply(RDD.scala:827)
        at org.apache.spark.rdd.RDD$anonfun$mapPartitionsInternal$1$anonfun$apply$25.apply(RDD.scala:827)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
        at org.apache.spark.scheduler.Task.run(Task.scala:108)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
18/05/13 10:03:28 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
1 ACCEPTED SOLUTION

@Abdul Rahim The error is caused due you are parsing a string that contains a double into a long. Instead you should parse it into a double

The following code works fine for me:

case class Person(index:Long,item:String,cost:Double,Tax:Double,Total:Double)
val peopleDs = sc.textFile("hdpcd/Samplecsv").map(_.split(",").map(_.trim)).map(attributes=> Person(attributes(0).toLong,attributes(1).toString,attributes(2).toDouble,attributes(3).toDouble,attributes(4).toDouble)).toDF()
peopleDs.createOrReplaceTempView("people")
val res = spark.sql("Select * from people")
res.collect()

Results:

defined class Person
peopleDs: org.apache.spark.sql.DataFrame = [index: bigint, item: string ... 3 more fields]
res: org.apache.spark.sql.DataFrame = [index: bigint, item: string ... 3 more fields]
res24: Array[org.apache.spark.sql.Row] = Array([1,Fruit of the Loom Girls Socks,7.97,0.6,8.57], [2,Rawlings Little League Baseball,2.97,0.22,3.19], [3,Secret Antiperspirant,1.29,0.1,1.39], [4,Deadpool DVD,14.96,1.12,16.08], [5,Maxwell House Coffee 28 oz,7.28,0.55,7.83], [6,Banana Boat Sunscreen,6.68,0.5,7.18], [7,Wrench Set,10.0,0.75,10.75], [8,M and Mz,8.98,0.67,9.65], [9,Bertoli Alfredo Sauce,2.12,0.16,2.28], [10,Large Paperclips,6.19,0.46,6.65])

Note: If you comment this post make sure you tag my name. And If you found this answer helped addressed your question, please take a moment to login and click the "accept" link on the answer.

View solution in original post

6 REPLIES 6

@Abdul Rahim The error is caused due you are parsing a string that contains a double into a long. Instead you should parse it into a double

The following code works fine for me:

case class Person(index:Long,item:String,cost:Double,Tax:Double,Total:Double)
val peopleDs = sc.textFile("hdpcd/Samplecsv").map(_.split(",").map(_.trim)).map(attributes=> Person(attributes(0).toLong,attributes(1).toString,attributes(2).toDouble,attributes(3).toDouble,attributes(4).toDouble)).toDF()
peopleDs.createOrReplaceTempView("people")
val res = spark.sql("Select * from people")
res.collect()

Results:

defined class Person
peopleDs: org.apache.spark.sql.DataFrame = [index: bigint, item: string ... 3 more fields]
res: org.apache.spark.sql.DataFrame = [index: bigint, item: string ... 3 more fields]
res24: Array[org.apache.spark.sql.Row] = Array([1,Fruit of the Loom Girls Socks,7.97,0.6,8.57], [2,Rawlings Little League Baseball,2.97,0.22,3.19], [3,Secret Antiperspirant,1.29,0.1,1.39], [4,Deadpool DVD,14.96,1.12,16.08], [5,Maxwell House Coffee 28 oz,7.28,0.55,7.83], [6,Banana Boat Sunscreen,6.68,0.5,7.18], [7,Wrench Set,10.0,0.75,10.75], [8,M and Mz,8.98,0.67,9.65], [9,Bertoli Alfredo Sauce,2.12,0.16,2.28], [10,Large Paperclips,6.19,0.46,6.65])

Note: If you comment this post make sure you tag my name. And If you found this answer helped addressed your question, please take a moment to login and click the "accept" link on the answer.

Explorer

I get the below statements.Is that sign of successful execution ? @Felix Albani

18/05/15 17:35:27 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
java.lang.NumberFormatException: For input string: "1 Fruit of the Loom Girls Socks 7.97 0.6 8.57"
at java.lang.NumberFormatException.forInputString(NumberFormatException. java:65)
at java.lang.Long.parseLong(Long.java:589)
at java.lang.Long.parseLong(Long.java:631)
at scala.collection.immutable.StringLike$class.toLong(StringLike.scala:2 76)
at scala.collection.immutable.StringOps.toLong(StringOps.scala:29)
at $line15.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anonfun$2.apply(<conso le>:26)
at $line15.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anonfun$2.apply(<conso le>:26)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIte rator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRo wIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon $1.hasNext(WholeStageCodegenExec.scala:395)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.s cala:234)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.s cala:228)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$ap ply$25.apply(RDD.scala:827)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$ap ply$25.apply(RDD.scala:827)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala: 38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor. java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor .java:624)
at java.lang.Thread.run(Thread.java:748)
18/05/15 17:35:27 ERROR Executor: Exception in task 1.0 in stage 0.0 (TID 1)
java.lang.NumberFormatException: For input string: "4 Banana Boat Sunscree 1 .12 1.12 16.08"
at java.lang.NumberFormatException.forInputString(NumberFormatException. java:65)
at java.lang.Long.parseLong(Long.java:589)
at java.lang.Long.parseLong(Long.java:631)
at scala.collection.immutable.StringLike$class.toLong(StringLike.scala:2 76)
at scala.collection.immutable.StringOps.toLong(StringOps.scala:29)
at $line15.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anonfun$2.apply(<conso le>:26)
at $line15.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anonfun$2.apply(<conso le>:26)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIte rator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRo wIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon $1.hasNext(WholeStageCodegenExec.scala:395)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.s cala:234)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.s cala:228)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$ap ply$25.apply(RDD.scala:827)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$ap ply$25.apply(RDD.scala:827)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala: 38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor. java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor .java:624)
at java.lang.Thread.run(Thread.java:748)
18/05/15 17:35:27 WARN TaskSetManager: Lost task 1.0 in stage 0.0 (TID 1, localh ost, executor driver): java.lang.NumberFormatException: For input string: "4 B anana Boat Sunscree 1.12 1.12 16.08"
at java.lang.NumberFormatException.forInputString(NumberFormatException. java:65)
at java.lang.Long.parseLong(Long.java:589)
at java.lang.Long.parseLong(Long.java:631)
at scala.collection.immutable.StringLike$class.toLong(StringLike.scala:2 76)
at scala.collection.immutable.StringOps.toLong(StringOps.scala:29)
at $line15.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anonfun$2.apply(<conso le>:26)
at $line15.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anonfun$2.apply(<conso le>:26)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIte rator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRo wIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon $1.hasNext(WholeStageCodegenExec.scala:395)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.s cala:234)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.s cala:228)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$ap ply$25.apply(RDD.scala:827)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$ap ply$25.apply(RDD.scala:827)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala: 38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor. java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor .java:624)
at java.lang.Thread.run(Thread.java:748)

18/05/15 17:35:27 ERROR TaskSetManager: Task 1 in stage 0.0 failed 1 times; abor ting job
18/05/15 17:35:27 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, localh ost, executor driver): java.lang.NumberFormatException: For input string: "1 F ruit of the Loom Girls Socks 7.97 0.6 8.57"
at java.lang.NumberFormatException.forInputString(NumberFormatException. java:65)
at java.lang.Long.parseLong(Long.java:589)
at java.lang.Long.parseLong(Long.java:631)
at scala.collection.immutable.StringLike$class.toLong(StringLike.scala:2 76)
at scala.collection.immutable.StringOps.toLong(StringOps.scala:29)
at $line15.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anonfun$2.apply(<conso le>:26)
at $line15.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anonfun$2.apply(<conso le>:26)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIte rator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRo wIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon $1.hasNext(WholeStageCodegenExec.scala:395)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.s cala:234)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.s cala:228)

@Abdul Rahim it seems the problem you have now is different. Looks like the input data is not being split on comma. Make sure the map _.split(",") is working because it seems not to be working for you now. Also please mark the other answer I provided as it solved the original parsing issue you had.

Explorer

I doubt the approach on file creation using Vi Samplecsv.I have created the file and simply pasted the data in it.Is that a right approach or is there any other way to do that.?.Since there is no wrong with the code as it worked fine for you.@Felix Albani

Explorer

I doubt the approach on file creation using Vi Samplecsv.I have created the file and simply pasted the data in it.Is that a right approach or is there any other way to do that.?.Since there is no wrong with the code as it worked fine for you. @Felix Albani

Explorer

@Abdul Rahim

Please use following code

case class Person(index:Long,item:String,cost:Float,Tax:Float,Total:Float)

val peopleDs = sc.textFile("C:/hcubeapi/test-case1123.txt").map(_.split(",").map(_.trim)).map(attributes=> Person(attributes(0).toLong,attributes(1).toString,attributes(2).toFloat,attributes(3).toFloat,attributes(4).toFloat)).toDF() peopleDs.createOrReplaceTempView("people")

val res = spark.sql("Select * from people")

res.show()

; ;