[jira] [Commented] (FLINK-19740) Error in to_pandas for table containing event time: class java.time.LocalDateTime cannot be cast to class java.sql.Timestamp

["Nicholas Jiang (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/FLINK-19740?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17218090#comment-17218090 ] 

Nicholas Jiang commented on FLINK-19740:
----------------------------------------

cc [~dian.fu]

> Error in to_pandas for table containing event time: class java.time.LocalDateTime cannot be cast to class java.sql.Timestamp
> ----------------------------------------------------------------------------------------------------------------------------
>
>                 Key: FLINK-19740
>                 URL: https://issues.apache.org/jira/browse/FLINK-19740
>             Project: Flink
>          Issue Type: Bug
>          Components: API / Python, Table SQL / API
>    Affects Versions: 1.12.0, 1.11.2
>         Environment: Ubuntu 18.04
> Python 3.8, jar built from master yesterday.
> Or Python 3.7, installed latest version from pip.
>            Reporter: Alex Hall
>            Priority: Major
>
> In a nutshell, if I create a table with an event time column:
> {{CREATE TABLE simple_table (}}
>  {{   ts TIMESTAMP(3),}}
>  {{   WATERMARK FOR ts AS ts - INTERVAL '5' SECOND}}
>  {{)}}
> then it fails to serialize with .to_pandas(). This only happens with the watermark line and in streaming mode.
> Full code:
> from pyflink.table import EnvironmentSettings, StreamTableEnvironment
> env_settings = (
>  EnvironmentSettings.new_instance().in_streaming_mode().use_blink_planner().build()
> )
> table_env = StreamTableEnvironment.create(environment_settings=env_settings)
> table_env.execute_sql(
>  """
>  CREATE TABLE simple_table (
>  ts TIMESTAMP(3),
>  WATERMARK FOR ts AS ts - INTERVAL '5' SECOND
>  ) WITH (
>  'connector.type' = 'filesystem',
>  'format.type' = 'csv',
>  'connector.path' = '/home/alex/.config/JetBrains/PyCharm2020.2/scratches/scratch_2.csv'
>  )
> """
> )
> print(table_env.from_path("simple_table").to_pandas())
> Output:
>   
>  WARNING: An illegal reflective access operation has occurred
>  WARNING: Illegal reflective access by org.apache.flink.api.python.shaded.io.netty.util.internal.ReflectionUtil ([file:/home/alex/work/flink/flink-dist/target/flink-1.12-SNAPSHOT-bin/flink-1.12-SNAPSHOT/opt/flink-python_2.11-1.12-SNAPSHOT.jar|file:///home/alex/work/flink/flink-dist/target/flink-1.12-SNAPSHOT-bin/flink-1.12-SNAPSHOT/opt/flink-python_2.11-1.12-SNAPSHOT.jar]) to constructor java.nio.DirectByteBuffer(long,int)
>  WARNING: Please consider reporting this to the maintainers of org.apache.flink.api.python.shaded.io.netty.util.internal.ReflectionUtil
>  WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
>  WARNING: All illegal access operations will be denied in a future release
>  Traceback (most recent call last):
>  File "/home/alex/.config/JetBrains/PyCharm2020.2/scratches/scratch_903.py", line 20, in <module>
>  print(table_env.from_path("simple_table").to_pandas())
>  File "/home/alex/work/flink/flink-python/pyflink/table/table.py", line 839, in to_pandas
>  table = pa.Table.from_batches(serializer.load_from_iterator(batches))
>  File "pyarrow/table.pxi", line 1576, in pyarrow.lib.Table.from_batches
>  File "/home/alex/work/flink/flink-python/pyflink/table/serializers.py", line 76, in load_from_iterator
>  reader = pa.ipc.open_stream(
>  File "/home/alex/.cache/pypoetry/virtualenvs/relycomply-WA1zLZ2n-py3.8/lib/python3.8/site-packages/pyarrow/ipc.py", line 146, in open_stream
>  return RecordBatchStreamReader(source)
>  File "/home/alex/.cache/pypoetry/virtualenvs/relycomply-WA1zLZ2n-py3.8/lib/python3.8/site-packages/pyarrow/ipc.py", line 62, in __init__
>  self._open(source)
>  File "pyarrow/ipc.pxi", line 360, in pyarrow.lib._RecordBatchStreamReader._open
>  File "pyarrow/error.pxi", line 123, in pyarrow.lib.pyarrow_internal_check_status
>  File "/home/alex/work/flink/flink-python/pyflink/table/serializers.py", line 69, in readinto
>  input = self.leftover or (self.itor.next() if self.itor.hasNext() else None)
>  File "/home/alex/.cache/pypoetry/virtualenvs/relycomply-WA1zLZ2n-py3.8/lib/python3.8/site-packages/py4j/java_gateway.py", line 1285, in __call__
>  return_value = get_return_value(
>  File "/home/alex/work/flink/flink-python/pyflink/util/exceptions.py", line 147, in deco
>  return f(*a, **kw)
>  File "/home/alex/.cache/pypoetry/virtualenvs/relycomply-WA1zLZ2n-py3.8/lib/python3.8/site-packages/py4j/protocol.py", line 326, in get_return_value
>  raise Py4JJavaError(
>  py4j.protocol.Py4JJavaError: An error occurred while calling o39.next.
>  : java.lang.RuntimeException: Failed to serialize the data of the table
>  at org.apache.flink.table.runtime.arrow.ArrowUtils$2.next(ArrowUtils.java:683)
>  at org.apache.flink.table.runtime.arrow.ArrowUtils$2.next(ArrowUtils.java:663)
>  at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>  at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>  at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>  at java.base/java.lang.reflect.Method.invoke(Method.java:566)
>  at org.apache.flink.api.python.shaded.py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
>  at org.apache.flink.api.python.shaded.py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
>  at org.apache.flink.api.python.shaded.py4j.Gateway.invoke(Gateway.java:282)
>  at org.apache.flink.api.python.shaded.py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
>  at org.apache.flink.api.python.shaded.py4j.commands.CallCommand.execute(CallCommand.java:79)
>  at org.apache.flink.api.python.shaded.py4j.GatewayConnection.run(GatewayConnection.java:238)
>  at java.base/java.lang.Thread.run(Thread.java:834)
>  Caused by: java.lang.ClassCastException: class java.time.LocalDateTime cannot be cast to class java.sql.Timestamp (java.time.LocalDateTime is in module java.base of loader 'bootstrap'; java.sql.Timestamp is in module java.sql of loader 'platform')
>  at org.apache.flink.table.data.util.DataFormatConverters$TimestampConverter.toInternalImpl(DataFormatConverters.java:897)
>  at org.apache.flink.table.data.util.DataFormatConverters$DataFormatConverter.toInternal(DataFormatConverters.java:381)
>  at org.apache.flink.table.data.util.DataFormatConverters$RowConverter.toInternalImpl(DataFormatConverters.java:1426)
>  at org.apache.flink.table.data.util.DataFormatConverters$RowConverter.toInternalImpl(DataFormatConverters.java:1414)
>  at org.apache.flink.table.data.util.DataFormatConverters$DataFormatConverter.toInternal(DataFormatConverters.java:381)
>  at org.apache.flink.table.runtime.arrow.ArrowUtils$1.next(ArrowUtils.java:655)
>  at org.apache.flink.table.runtime.arrow.ArrowUtils$1.next(ArrowUtils.java:641)
>  at org.apache.flink.table.runtime.arrow.ArrowUtils$2.next(ArrowUtils.java:675)
>  ... 12 more



--
This message was sent by Atlassian Jira
(v8.3.4#803005)