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Posted to issues@flink.apache.org by "Dian Fu (Jira)" <ji...@apache.org> on 2022/06/22 05:49:00 UTC
[jira] [Closed] (FLINK-28148) Unable to load jar connector to a Python Table API app
[ https://issues.apache.org/jira/browse/FLINK-28148?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dian Fu closed FLINK-28148.
---------------------------
Fix Version/s: FLINK-28002
Resolution: Duplicate
[~CrynetLogistics] Have closed this ticket as duplicate as it seems a bug and have been fixed in FLINK-28002. Feel free to reopen it if the fix in FLINK-28002 doesn't solve your issue.
> Unable to load jar connector to a Python Table API app
> ------------------------------------------------------
>
> Key: FLINK-28148
> URL: https://issues.apache.org/jira/browse/FLINK-28148
> Project: Flink
> Issue Type: Bug
> Components: API / Python, Connectors / Common, Table SQL / API
> Affects Versions: 1.16.0
> Reporter: Zichen Liu
> Priority: Major
> Labels: connector, jar, python, table-api
> Fix For: FLINK-28002
>
>
> h2. Background
> User currently unable to build & install the latest PyFlink and then load jars. The jar loading mechanism was introduced in FLINK-16943.
> h2. Reproduction steps
> * Clone the latest Flink from the master branch.
> * Follow the Flink [recommended steps|https://nightlies.apache.org/flink/flink-docs-master/docs/flinkdev/building/] to build Flink & install PyFlink. Notes: Tutorial recommended Maven 3.2.x, Python 3.6-3.9, reproduced with: Maven 3.2.5, Python 3.7.
> * Create a new Python Table API app that loads in a jar, similar to:
> {code:java}
> from pyflink.table import TableEnvironment, StreamTableEnvironment, EnvironmentSettings
> env_settings = EnvironmentSettings.in_streaming_mode()
> t_env = StreamTableEnvironment.create(environment_settings=env_settings)
> t_env.get_config().set("pipeline.classpaths", "file:///path/to/your/jar.jar") {code}
>
> * The following alternative way of loading jars produce a similar issue:
> {code:java}
> table_env.get_config().get_configuration().set_string("pipeline.jars", "file:///path/to/your/jar.jar") {code}
>
> * The jar loaded here can be any jar, and the following message will appear:
> {code:java}
> Traceback (most recent call last):
> File "pyflink_table_api_firehose.py", line 48, in <module>
> log_processing()
> File "pyflink_table_api_firehose.py", line 14, in log_processing
> t_env.get_config().set("pipeline.classpaths", "file:///home/YOUR_USER/pyflink-table-api/flink/flink-connectors/flink-sql-connector-aws-kinesis-firehose/target/flink-sql-connector-aws-kinesis-firehose-1.16-SNAPSHOT.jar")
> File "/home/YOUR_USER/.local/lib/python3.7/site-packages/pyflink/table/table_config.py", line 109, in set
> add_jars_to_context_class_loader(value.split(";"))
> File "/home/YOUR_USER/.local/lib/python3.7/site-packages/pyflink/util/java_utils.py", line 169, in add_jars_to_context_class_loader
> addURL.invoke(loader, to_jarray(get_gateway().jvm.Object, [url]))
> File "/home/YOUR_USER/.local/lib/python3.7/site-packages/py4j/java_gateway.py", line 1322, in __call__
> answer, self.gateway_client, self.target_id, self.name)
> File "/home/YOUR_USER/.local/lib/python3.7/site-packages/pyflink/util/exceptions.py", line 146, in deco
> return f(*a, **kw)
> File "/home/YOUR_USER/.local/lib/python3.7/site-packages/py4j/protocol.py", line 328, in get_return_value
> format(target_id, ".", name), value)
> py4j.protocol.Py4JJavaError: An error occurred while calling o45.invoke.
> : java.lang.IllegalArgumentException: object is not an instance of declaring class
> 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 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:829) {code}
>
> * Next do:
> {code:java}
> pip uninstall apache-flink
> pip install apache-flink{code}
> ...to downgrade it to 1.15 release.
> The loading of the jar should be successful. Even if you try to load the same connector built from master (reproduced with Kafka, Kinesis Firehose).
> Reproduced on Mac and Amazon Linux 2.
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