This isn't really a Spark question. You're trying to parse a string to an
integer, but it contains an invalid character. The exception message
explains this.
On Wed, Aug 5, 2015 at 11:34 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) wrote:
> Code:
> import java.text.SimpleDateFormat
> import java.util.Calendar
> import java.sql.Date
> import org.apache.spark.storage.StorageLevel
>
> def formatStringAsDate(dateStr: String) = new java.sql.Date(new
> SimpleDateFormat("-MM-dd").parse(dateStr).getTime())
>
>
> //(2015-07-27,12459,,31242,6,Daily,-999,2099-01-01,2099-01-02,1,0,0.1,0,1,-1,isGeo,,,204,694.0,1.9236856708701322E-4,0.0,-4.48,0.0,0.0,0.0,)
>
> case class Summary(f1: Date, f2: Long, f3: Long, f4: Integer, f5 : String,
> f6: Integer, f7 : Date, f8: Date, f9: Integer, f10: Integer, f11: Float,
> f12: Integer, f13: Integer, f14: String)
>
>
> val rowStructText =
> sc.textFile("/user/zeppelin/aggregatedsummary/2015/08/03/regular/part-m-1.gz")
>
> val summary = rowStructText.filter(s => s.length != 1).map(s =>
> s.split("\t")).map(
> {
> s =>
> Summary(formatStringAsDate(s(0)),
> s(1).replaceAll("\"", "").toLong,
> s(3).replaceAll("\"", "").toLong,
> s(4).replaceAll("\"", "").toInt,
> s(5).replaceAll("\"", ""),
> s(6).replaceAll("\"", "").toInt,
> formatStringAsDate(s(7)),
> formatStringAsDate(s(8)),
> s(9).replaceAll("\"", "").toInt,
> s(10).replaceAll("\"", "").toInt,
> s(11).replaceAll("\"", "").toFloat,
> s(12).replaceAll("\"", "").toInt,
> s(13).replaceAll("\"", "").toInt,
> s(14).replaceAll("\"", "")
> )
> }
> )
>
> summary.saveAsTextFile("sparkO")
>
>
> Output:
> import java.text.SimpleDateFormat import java.util.Calendar import
> java.sql.Date import org.apache.spark.storage.StorageLevel
> formatStringAsDate: (dateStr: String)java.sql.Date defined class Summary
> rowStructText: org.apache.spark.rdd.RDD[String] =
> /user/zeppelin/aggregatedsummary/2015/08/03/regular/part-m-1.gz
> MapPartitionsRDD[639] at textFile at :305 summary:
> org.apache.spark.rdd.RDD[Summary] = MapPartitionsRDD[642] at map at
> :310 org.apache.spark.SparkException: Job aborted due to stage
> failure: Task 0 in stage 147.0 failed 4 times, most recent failure: Lost
> task 0.3 in stage 147.0 (TID 3396, datanode-6-3486.phx01.dev.ebayc3.com):
> java.lang.NumberFormatException: For input string: "3g" at
> java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
> at java.lang.Integer.parseInt(Integer.java:580) at
> java.lang.Integer.parseInt(Integer.java:615) at
> scala.collection.immutable.StringLike$class.toInt(StringLike.scala:229) at
> scala.collection.immutable.StringOps.toInt(StringOps.scala:31) at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$b7c842676ccaed446a4cace94f9edC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$3.apply(:318)
> at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$b7c842676ccaed446a4cace94f9edC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$3.apply(:312)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at
> scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$13.apply(PairRDDFunctions.scala:1072)
> at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$13.apply(PairRDDFunctions.scala:1059)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61) at
> org.apache.spark.scheduler.Task.run(Task.scala:64) at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203) at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745) Driver stacktrace: at
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1204)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1193)
>
>
>
> OR
> summary.count throws same exception
>
> Any suggestions ?
>
> --
> Deepak
>
>
