Zach Liu created SPARK-43389:
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Summary: spark.read.csv throws NullPointerException when lineSep
is set to None
Key: SPARK-43389
URL: https://issues.apache.org/jira/browse/SPARK-43389
Project: Spark
Issue Type: Improvement
Components: PySpark, SQL
Affects Versions: 3.3.1
Reporter: Zach Liu
lineSep was defined as Optional[str] yet i'm unable to explicitly set it as
None:
reader = spark.read.format("csv")
read_options={'inferSchema': False, 'header': True, 'mode': 'DROPMALFORMED',
'sep': '\t', 'escape': '\\', 'multiLine': False, 'lineSep': None}
for option, option_value in read_options.items():
reader = reader.option(option, option_value)
df = reader.load("s3://<path-to-csv-data>")
raises exception:
py4j.protocol.Py4JJavaError: An error occurred while calling o126.load.
: java.lang.NullPointerException
at
scala.collection.immutable.StringOps$.length$extension(StringOps.scala:51)
at scala.collection.immutable.StringOps.length(StringOps.scala:51)
at
scala.collection.IndexedSeqOptimized.isEmpty(IndexedSeqOptimized.scala:30)
at
scala.collection.IndexedSeqOptimized.isEmpty$(IndexedSeqOptimized.scala:30)
at scala.collection.immutable.StringOps.isEmpty(StringOps.scala:33)
at scala.collection.TraversableOnce.nonEmpty(TraversableOnce.scala:143)
at scala.collection.TraversableOnce.nonEmpty$(TraversableOnce.scala:143)
at scala.collection.immutable.StringOps.nonEmpty(StringOps.scala:33)
at
org.apache.spark.sql.catalyst.csv.CSVOptions.$anonfun$lineSeparator$1(CSVOptions.scala:216)
at scala.Option.map(Option.scala:230)
at
org.apache.spark.sql.catalyst.csv.CSVOptions.<init>(CSVOptions.scala:215)
at
org.apache.spark.sql.catalyst.csv.CSVOptions.<init>(CSVOptions.scala:47)
at
org.apache.spark.sql.execution.datasources.csv.CSVFileFormat.inferSchema(CSVFileFormat.scala:60)
at
org.apache.spark.sql.execution.datasources.DataSource.$anonfun$getOrInferFileFormatSchema$11(DataSource.scala:210)
at scala.Option.orElse(Option.scala:447)
at
org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:207)
at
org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:411)
at
org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:228)
at
org.apache.spark.sql.DataFrameReader.$anonfun$load$2(DataFrameReader.scala:210)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:210)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:185)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at
py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.lang.Thread.run(Thread.java:750)
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