Hey all,

Thank you so much for your efforts. I've already posted this question on
stack overflow, but thought I should ask here as well.

I am trying out Flink's new Python streaming API and attempting to run my
script with ./flink-1.6.1/bin/pyflink-stream.sh examples/read_from_kafka.py.
The python script is fairly straightforward, I am just trying to consume
from an existing topic and send everything to stdout (or the *.out file in
the log directory where the output method emits data by default).

import glob

import os

import sys

from java.util import Properties

from org.apache.flink.streaming.api.functions.source import SourceFunction

from org.apache.flink.streaming.api.collector.selector import OutputSelector

from org.apache.flink.api.common.serialization import SimpleStringSchema


directories=['/home/user/flink/flink-1.6.1/lib']

for directory in directories:

    for jar in glob.glob(os.path.join(directory,'*.jar')):

                sys.path.append(jar)


from org.apache.flink.streaming.connectors.kafka import FlinkKafkaConsumer09


props = Properties()

config = {"bootstrap_servers": "localhost:9092",

          "group_id": "flink_test",

          "topics": ["TopicCategory-TopicName"]}

props.setProperty("bootstrap.servers", config['bootstrap_servers'])

props.setProperty("group_id", config['group_id'])

props.setProperty("zookeeper.connect", "localhost:2181")


def main(factory):

    consumer = FlinkKafkaConsumer09([config["topics"]],
SimpleStringSchema(), props)


    env = factory.get_execution_environment()

    env.add_java_source(consumer) \

        .output()

    env.execute()

I grabbed a handful of jar files from the maven repos, namely
flink-connector-kafka-0.9_2.11-1.6.1.jar,
flink-connector-kafka-base_2.11-1.6.1.jar and kafka-clients-0.9.0.1.jarand
copied them in Flink's lib directory. Unless I misunderstood the
documentation, this should suffice for Flink to load the kafka connector.
Indeed, if I remove any of these jars the import fails, but this doesn't
seem to be enough to actually invoke the plan. Adding a for loop to
dynamically add these to sys.path didn't work either. Here's what gets
printed in the console:

Starting execution of program

Failed to run plan: null

Traceback (most recent call last):

  File "<string>", line 1, in <module>

  File
"/tmp/flink_streaming_plan_9cfed4d9-0288-429c-99ac-df02c86922ec/read_from_kafka.py",
line 32, in main

    at
org.apache.flink.client.program.rest.RestClusterClient.submitJob(RestClusterClient.java:267)

    at
org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:486)

    at
org.apache.flink.streaming.api.environment.StreamContextEnvironment.execute(StreamContextEnvironment.java:66)

    at
org.apache.flink.streaming.api.environment.StreamExecutionEnvironment.execute(StreamExecutionEnvironment.java:1511)

    at
org.apache.flink.streaming.python.api.environment.PythonStreamExecutionEnvironment.execute(PythonStreamExecutionEnvironment.java:245)

    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)


org.apache.flink.client.program.ProgramInvocationException:
org.apache.flink.client.program.ProgramInvocationException: Job failed.
(JobID: bbcc0cb2c4fe6e3012d228b06b270eba)


The program didn't contain a Flink job. Perhaps you forgot to call
execute() on the execution environment.

This is what I see in the logs:

org.apache.flink.streaming.runtime.tasks.StreamTaskException: Cannot load
user class:
org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer09

ClassLoader info: URL ClassLoader:

    file:
'/tmp/blobStore-9f6930fa-f1cf-4851-a0bf-2e620391596f/job_ca486746e7feb42d2d162026b74e9935/blob_p-9321896d165fec27a617d44ad50e3ef09c3211d9-405ccc9b490fa1e1348f0a76b1a48887'
(valid JAR)

Class not resolvable through given classloader.

    at
org.apache.flink.streaming.api.graph.StreamConfig.getStreamOperator(StreamConfig.java:236)

    at
org.apache.flink.streaming.runtime.tasks.OperatorChain.<init>(OperatorChain.java:104)

    at
org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:267)

    at org.apache.flink.runtime.taskmanager.Task.run(Task.java:711)

    at java.lang.Thread.run(Thread.java:748)

Is there a way to fix this and make the connector available to Python?

Many thanks,
Kostas

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