[jira] [Commented] (SPARK-43389) spark.read.csv throws NullPointerException when lineSep is set to None
[
https://issues.apache.org/jira/browse/SPARK-43389?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17771698#comment-17771698
]
Gera Shegalov commented on SPARK-43389:
---
There is a symmetrical issue on the DataFrameWriter side:
{code:python}
>>> spark.createDataFrame([('some value',),]).write.option('someOpt',
>>> None).saveAsTable("hive_csv_t21")
{code}
{code:java}
23/10/03 21:39:12 WARN HiveExternalCatalog: Could not persist
`spark_catalog`.`default`.`hive_csv_t21` in a Hive compatible way. Persisting
it into Hive metastore in Spark SQL specific format.
org.apache.hadoop.hive.ql.metadata.HiveException:
MetaException(message:java.lang.NullPointerException: Null values not allowed
in persistent maps.)
at org.apache.hadoop.hive.ql.metadata.Hive.createTable(Hive.java:869)
at org.apache.hadoop.hive.ql.metadata.Hive.createTable(Hive.java:874)
at
org.apache.spark.sql.hive.client.Shim_v0_12.createTable(HiveShim.scala:614)
at
org.apache.spark.sql.hive.client.HiveClientImpl.$anonfun$createTable$1(HiveClientImpl.scala:573)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at
org.apache.spark.sql.hive.client.HiveClientImpl.$anonfun$withHiveState$1(HiveClientImpl.scala:303)
at
org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:234)
at
org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:233)
at
org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:283)
at
org.apache.spark.sql.hive.client.HiveClientImpl.createTable(HiveClientImpl.scala:571)
at
org.apache.spark.sql.hive.HiveExternalCatalog.saveTableIntoHive(HiveExternalCatalog.scala:526)
at
org.apache.spark.sql.hive.HiveExternalCatalog.createDataSourceTable(HiveExternalCatalog.scala:415)
at
org.apache.spark.sql.hive.HiveExternalCatalog.$anonfun$createTable$1(HiveExternalCatalog.scala:274)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at
org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:99)
at
org.apache.spark.sql.hive.HiveExternalCatalog.createTable(HiveExternalCatalog.scala:245)
at
org.apache.spark.sql.catalyst.catalog.ExternalCatalogWithListener.createTable(ExternalCatalogWithListener.scala:94)
at
org.apache.spark.sql.catalyst.catalog.SessionCatalog.createTable(SessionCatalog.scala:402)
at
org.apache.spark.sql.rapids.shims.GpuCreateDataSourceTableAsSelectCommand.run(GpuCreateDataSourceTableAsSelectCommandShims.scala:91)
at
com.nvidia.spark.rapids.GpuExecutedCommandExec.sideEffectResult$lzycompute(GpuExecutedCommandExec.scala:52)
at
com.nvidia.spark.rapids.GpuExecutedCommandExec.sideEffectResult(GpuExecutedCommandExec.scala:50)
at
com.nvidia.spark.rapids.GpuExecutedCommandExec.executeCollect(GpuExecutedCommandExec.scala:61)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:107)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:107)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:461)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:461)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:32)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:437)
at
org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:98)
at
[jira] [Commented] (SPARK-43389) spark.read.csv throws NullPointerException when lineSep is set to None
[
https://issues.apache.org/jira/browse/SPARK-43389?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17741360#comment-17741360
]
ASF GitHub Bot commented on SPARK-43389:
User 'gdhuper' has created a pull request for this issue:
https://github.com/apache/spark/pull/41904
> 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
>Priority: Trivial
>
> 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://")
> 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$1(CSVOptions.scala:216)
> at scala.Option.map(Option.scala:230)
> at
> org.apache.spark.sql.catalyst.csv.CSVOptions.(CSVOptions.scala:215)
> at
> org.apache.spark.sql.catalyst.csv.CSVOptions.(CSVOptions.scala:47)
> at
> org.apache.spark.sql.execution.datasources.csv.CSVFileFormat.inferSchema(CSVFileFormat.scala:60)
> at
> org.apache.spark.sql.execution.datasources.DataSource.$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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[jira] [Commented] (SPARK-43389) spark.read.csv throws NullPointerException when lineSep is set to None
[
https://issues.apache.org/jira/browse/SPARK-43389?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17724299#comment-17724299
]
Sean R. Owen commented on SPARK-43389:
--
Looks like we should handle the case where it's explicitly set to null in
CSVOptions:256. Just use a match statement to handle null and None the same way
- return None. Are you up for making a PR?
> 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
>Priority: Trivial
>
> 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://")
> 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$1(CSVOptions.scala:216)
> at scala.Option.map(Option.scala:230)
> at
> org.apache.spark.sql.catalyst.csv.CSVOptions.(CSVOptions.scala:215)
> at
> org.apache.spark.sql.catalyst.csv.CSVOptions.(CSVOptions.scala:47)
> at
> org.apache.spark.sql.execution.datasources.csv.CSVFileFormat.inferSchema(CSVFileFormat.scala:60)
> at
> org.apache.spark.sql.execution.datasources.DataSource.$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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[jira] [Commented] (SPARK-43389) spark.read.csv throws NullPointerException when lineSep is set to None
[
https://issues.apache.org/jira/browse/SPARK-43389?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17720568#comment-17720568
]
Zach Liu commented on SPARK-43389:
--
that's why i set the type as "Improvement" and the priority as "Trivial".
but still, it's an unnecessary confusion
> 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
>Priority: Trivial
>
> 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://")
> 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$1(CSVOptions.scala:216)
> at scala.Option.map(Option.scala:230)
> at
> org.apache.spark.sql.catalyst.csv.CSVOptions.(CSVOptions.scala:215)
> at
> org.apache.spark.sql.catalyst.csv.CSVOptions.(CSVOptions.scala:47)
> at
> org.apache.spark.sql.execution.datasources.csv.CSVFileFormat.inferSchema(CSVFileFormat.scala:60)
> at
> org.apache.spark.sql.execution.datasources.DataSource.$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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[jira] [Commented] (SPARK-43389) spark.read.csv throws NullPointerException when lineSep is set to None
[
https://issues.apache.org/jira/browse/SPARK-43389?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17720371#comment-17720371
]
Hyukjin Kwon commented on SPARK-43389:
--
[~zach liu] you can simply just don't specify instead of setting None.
> 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
>Priority: Trivial
>
> 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://")
> 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$1(CSVOptions.scala:216)
> at scala.Option.map(Option.scala:230)
> at
> org.apache.spark.sql.catalyst.csv.CSVOptions.(CSVOptions.scala:215)
> at
> org.apache.spark.sql.catalyst.csv.CSVOptions.(CSVOptions.scala:47)
> at
> org.apache.spark.sql.execution.datasources.csv.CSVFileFormat.inferSchema(CSVFileFormat.scala:60)
> at
> org.apache.spark.sql.execution.datasources.DataSource.$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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