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Managed Apache Flink Does Not Work with Side Outputs

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Hello,

I'm encountering an issue with my PyFlink processing pipeline that uses side output. The pipeline works correctly when run locally but fails on AWS Managed Apache Flink. I’ve created a minimal example to reproduce the error.

Minimal Code Example with Side Output

from pyflink.datastream import StreamExecutionEnvironment, KeyedProcessFunction, OutputTag
from pyflink.common import Types

side_output_tag = OutputTag("side-output", Types.STRING())

class MyProcessFunction(KeyedProcessFunction):
    def process_element(self, value, ctx: 'KeyedProcessFunction.Context'):
        yield value
        if value % 2 == 0:
            yield side_output_tag, f"Side output for even value: {value}"

def main():
    env = StreamExecutionEnvironment.get_execution_environment()
    env.set_parallelism(1)

    data = env.from_collection(collection=[1, 2, 3, 4, 5, 6], type_info=Types.INT())
    processed = data.key_by(lambda x: 1).process(MyProcessFunction(), output_type=Types.INT())
    processed.print("main")

    side_data = processed.get_side_output(side_output_tag)
    side_data.print("side")

    env.execute("Side Output Test")

if __name__ == "__main__":
    main()

Comparison: Code Without Side Output

This version, which does not use side output, runs perfectly locally and on AWS Managed Flink:

from pyflink.datastream import StreamExecutionEnvironment, KeyedProcessFunction
from pyflink.common import Types

class MyProcessFunction(KeyedProcessFunction):
    def process_element(self, value, ctx: 'KeyedProcessFunction.Context'):
        yield value

def main():
    env = StreamExecutionEnvironment.get_execution_environment()
    env.set_parallelism(1)

    data = env.from_collection(collection=[1, 2, 3, 4, 5, 6], type_info=Types.INT())
    processed = data.key_by(lambda x: 1).process(MyProcessFunction(), output_type=Types.INT())
    processed.print("main")

    env.execute("Side Output Test")

if __name__ == "__main__":
    main()

Build and Deployment Details

Exception Details

The error on Managed Flink can be viewed here: Exception Message.


Could anyone provide insight into why the side output functionality might be failing on AWS Managed Flink, or suggest any configuration or compatibility issues to investigate further?

Thank you!

asked 9 months ago249 views
1 Answer
0

The issue you're experiencing with side outputs not working on AWS Managed Service for Apache Flink is likely due to limitations in the service's support for certain Python features.

AWS Managed Service for Apache Flink does have some restrictions when it comes to Python applications. While it supports Python for creating Flink applications, there are certain constraints and differences compared to running Flink locally.

The side output functionality you're trying to use is a more advanced feature of Flink, and it's possible that it's not fully supported in the managed service environment, especially for Python applications. The managed service may have limitations on how it handles complex Python operations or certain Flink APIs when running in a distributed environment.

To work around this issue, you might need to restructure your application to avoid using side outputs. Instead, you could consider alternative approaches such as:

  1. Using multiple output streams instead of side outputs.
  2. Implementing the logic that generates side outputs within the main processing pipeline.
  3. Using a different operator that doesn't require side outputs to achieve similar functionality.

It's also worth noting that AWS Managed Service for Apache Flink is primarily designed to work with SQL-based applications and may have better support for SQL operations than for complex Python DataStream API usage.

If you absolutely need to use side outputs and can't find a workaround, you might need to consider running your Flink application on a self-managed Flink cluster instead of using the managed service. This would give you more control over the environment and potentially allow you to use all Flink features without restrictions.

For the most up-to-date information on supported features and any known limitations, it would be advisable to consult the AWS documentation or reach out to AWS support for specific guidance on your use case.
Sources
Create your Managed Service for Apache Flink Python application - Managed Service for Apache Flink
Create and run a Managed Service for Apache Flink for Python application - Managed Service for Apache Flink
Stream Processing - Amazon Managed Service for Apache Flink - AWS

answered 9 months ago

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