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https://issues.apache.org/jira/browse/SPARK-25387?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16608476#comment-16608476
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Apache Spark commented on SPARK-25387:
--------------------------------------
User 'MaxGekk' has created a pull request for this issue:
https://github.com/apache/spark/pull/22374
> Malformed CSV causes NPE
> ------------------------
>
> Key: SPARK-25387
> URL: https://issues.apache.org/jira/browse/SPARK-25387
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.1
> Reporter: Maxim Gekk
> Priority: Major
>
> Loading a malformed CSV files or a dataset can cause NullPointerException,
> for example the code:
> {code:scala}
> val schema = StructType(StructField("a", IntegerType) :: Nil)
> val input = spark.createDataset(Seq("\u0000\u0000\u0001234"))
> spark.read.schema(schema).csv(input).collect()
> {code}
> crashes with the exception:
> {code:java}
> Caused by: java.lang.NullPointerException
> at
> org.apache.spark.sql.execution.datasources.csv.UnivocityParser.org$apache$spark$sql$execution$datasources$csv$UnivocityParser$$convert(UnivocityParser.scala:219)
> at
> org.apache.spark.sql.execution.datasources.csv.UnivocityParser.parse(UnivocityParser.scala:210)
> at
> org.apache.spark.sql.DataFrameReader$$anonfun$11$$anonfun$12.apply(DataFrameReader.scala:523)
> at
> org.apache.spark.sql.DataFrameReader$$anonfun$11$$anonfun$12.apply(DataFrameReader.scala:523)
> at
> org.apache.spark.sql.execution.datasources.FailureSafeParser.parse(FailureSafeParser.scala:68)
> {code}
> If schema is not specified, the following exception is thrown:
> {code:java}
> java.lang.NullPointerException
> at
> scala.collection.mutable.ArrayOps$ofRef$.length$extension(ArrayOps.scala:192)
> at scala.collection.mutable.ArrayOps$ofRef.length(ArrayOps.scala:192)
> at
> scala.collection.IndexedSeqOptimized$class.zipWithIndex(IndexedSeqOptimized.scala:99)
> at
> scala.collection.mutable.ArrayOps$ofRef.zipWithIndex(ArrayOps.scala:186)
> at
> org.apache.spark.sql.execution.datasources.csv.CSVDataSource.makeSafeHeader(CSVDataSource.scala:109)
> at
> org.apache.spark.sql.execution.datasources.csv.TextInputCSVDataSource$.inferFromDataset(CSVDataSource.scala:247)
> {code}
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