GCP Dataflow Job scenarios with 'java.lang.IllegalArgumentException: Invalid windowing strategy' When Using Events with Different Timestamps
Does anyone know how to I'm currently working on a GCP Dataflow pipeline that processes event data coming from Pub/Sub... The events contain timestamps, and I'm trying to apply a windowing strategy to group these events. However, I'm working with an behavior: `java.lang.IllegalArgumentException: Invalid windowing strategy`. This behavior occurs when I attempt to run my pipeline with a `FixedWindows` strategy. Here's a simplified version of my code: ```java import org.apache.beam.sdk.Pipeline; import org.apache.beam.sdk.transforms.Window; import org.apache.beam.sdk.transforms.WithTimestamps; import org.apache.beam.sdk.values.TypeDescriptor; import org.apache.beam.sdk.transforms.GroupByKey; import org.joda.time.Duration; Pipeline p = Pipeline.create(); p.apply("ReadFromPubSub", PubsubIO.read().topic("projects/my-project/topics/my-topic")) .apply("AddTimestamps", WithTimestamps.of((Event event) -> event.getTimestamp())) .apply(Window.<Event>into(FixedWindows.of(Duration.standardMinutes(5)))) .apply(GroupByKey.create()); p.run().waitUntilFinish(); ``` The timestamps in the events are sometimes out of order, and I suspect that might be causing the scenario. I've tried using `WithTimestamps` to assign the timestamps coming from the event, but I still get the same behavior. I've also checked the versions of the libraries I'm using: - Apache Beam: 2.31.0 - Java: 11 I’ve also tried different windowing strategies like `SlidingWindows` and `SessionWindows`, but I encounter similar issues. How can I correctly handle events with varying timestamps in Dataflow without running into this behavior? Are there specific practices or configurations I should consider to avoid this question? I'm working on a web app that needs to handle this. My development environment is macOS. Thanks in advance! Any ideas how to fix this?