count throws java.lang.NumberFormatException:在从启用了inferSchema的对象库加载的文件上为null

时间:2017-06-11 15:47:34

标签: apache-spark apache-spark-sql databricks spark-csv

启用inferSchema时,从IBM Blue mix对象存储加载的数据框上的count()会引发以下异常:

Name: org.apache.spark.SparkException
Message: Job aborted due to stage failure: Task 3 in stage 43.0 failed 10 times, most recent failure: Lost task 3.9 in stage 43.0 (TID 166, yp-spark-dal09-env5-0034): java.lang.NumberFormatException: null
    at java.lang.Integer.parseInt(Integer.java:554)
    at java.lang.Integer.parseInt(Integer.java:627)
    at scala.collection.immutable.StringLike$class.toInt(StringLike.scala:272)
    at scala.collection.immutable.StringOps.toInt(StringOps.scala:29)
    at org.apache.spark.sql.execution.datasources.csv.CSVTypeCast$.castTo(CSVInferSchema.scala:241)
    at org.apache.spark.sql.execution.datasources.csv.CSVRelation$$anonfun$csvParser$3.apply(CSVRelation.scala:116)
    at org.apache.spark.sql.execution.datasources.csv.CSVRelation$$anonfun$csvParser$3.apply(CSVRelation.scala:85)
    at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anonfun$buildReader$1$$anonfun$apply$2.apply(CSVFileFormat.scala:128)
    at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anonfun$buildReader$1$$anonfun$apply$2.apply(CSVFileFormat.scala:127)
    at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
    at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
    at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
    at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:91)

如果我禁用inferSchema,我不会得到上述异常。 为什么我得到这个例外?默认情况下,如果启用inferSchema,数据桶会读取多少行?

1 个答案:

答案 0 :(得分:2)

这实际上是spark-csv包裹(null value still not correctly parsed #192)被拖入spark 2.0的问题。它已被更正并推送到spark 2.1

以下是相关的PR:[SPARK-18269][SQL] CSV datasource should read null properly when schema is lager than parsed tokens

由于您已经在使用spark 2.0,因此可以轻松升级到2.1并删除该spark-csv包。反正它也不需要。