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Spark : java.lang.NumberFormatException: For input string: ""

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Spark : java.lang.NumberFormatException: For input string: ""

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Here is my code :

%spark.spark

val file=sc.textFile("/apps/hive/migration/unique_visitors_RT_craigieburn.csv")

case class RT_craigieburn( event_year:Integer, event_month:Integer, event_day:Integer, event_hour:Integer, event_minute:Integer, event_second:Integer, mac_address:String)

val realtimeTable = file.map(s => s.split(",")).filter(s => s(0) != "event_year").map( s => RT_craigieburn(s(0).toInt, s(1).toInt, s(2).toInt, s(3).toInt, s(4).toInt, s(5).toInt, s(6).replaceAll("\"", "") ) ).toDF()

realtimeTable.registerTempTable("craigieburn")

When I run, it says :

file: org.apache.spark.rdd.RDD[String] = /apps/hive/migration/unique_visitors_RT_craigieburn.csv MapPartitionsRDD[46] at textFile at <console>:29 defined class RT_craigieburn realtimeTable: org.apache.spark.sql.DataFrame = [event_year: int, event_month: int, event_day: int, event_hour: int, event_minute: int, event_second: int, mac_address: string]

But when I tried to run spark sql

%spark.sql

select event_year from craigieburn

java.lang.NumberFormatException: For input string: "" at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65) at java.lang.Integer.parseInt(Integer.java:592) 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 $line115675017136.$read$iwC$iwC$iwC$iwC$iwC$iwC$iwC$iwC$anonfun$3.apply(<console>:34) at $line115675017136.$read$iwC$iwC$iwC$iwC$iwC$iwC$iwC$iwC$anonfun$3.apply(<console>:34) at scala.collection.Iterator$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$anon$10.next(Iterator.scala:312) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) at scala.collection.AbstractIterator.to(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) at org.apache.spark.sql.execution.SparkPlan$anonfun$5.apply(SparkPlan.scala:212) at org.apache.spark.sql.execution.SparkPlan$anonfun$5.apply(SparkPlan.scala:212) at org.apache.spark.SparkContext$anonfun$runJob$5.apply(SparkContext.scala:1857) at org.apache.spark.SparkContext$anonfun$runJob$5.apply(SparkContext.scala:1857) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) at org.apache.spark.scheduler.Task.run(Task.scala:89) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227) 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)

Can someone help me ?

Thanks

1 REPLY 1
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Re: Spark : java.lang.NumberFormatException: For input string: ""

Explorer

False alarm everyone, my data quality is not good

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