👀 Views: 54 💬 Answers: 1 📅 Created: 2025-06-09

GCP Dataflow Avro CloudStorage Java

I've been working on this all day and I'm testing a new approach and I've been banging my head against this for hours... I've searched everywhere and can't find a clear answer. I'm experiencing an scenario with a Google Cloud Dataflow job that processes Avro files stored in Google Cloud Storage. The job is failing at runtime with the behavior message: `java.lang.IllegalArgumentException: Input could not be parsed`. I am using the latest Dataflow SDK version `2.25.0`, and my pipeline is set up to read from GCS like this: ```java PipelineOptions options = PipelineOptionsFactory.create(); Pipeline p = Pipeline.create(options); p.apply("ReadAvroFiles", AvroIO.read(MyRecord.class) .from("gs://my-bucket/my-folder/*.avro")) .apply("ProcessRecords", ParDo.of(new DoFn<MyRecord, Void>() { @ProcessElement public void processElement(ProcessContext c) { MyRecord record = c.element(); // Processing logic here } })); p.run().waitUntilFinish(); ``` I double-checked the Avro files and verified that they adhere to the schema definition. The schema is defined in a separate file, and I've ensured that the paths to both the Avro files and schema file are correct. Additionally, I attempted to test with a smaller subset of files, but the behavior continues. Here’s a snippet of how I define my Avro schema: ```json { "type": "record", "name": "MyRecord", "fields": [ {"name": "field1", "type": "string"}, {"name": "field2", "type": "int"} ] } ``` Could this behavior be related to the file format or schema mismatch? Are there any known issues when reading Avro files with Dataflow that I should be aware of? Any insights on how to troubleshoot or resolve this would be greatly appreciated. My development environment is Linux. How would you solve this? I'm working on a CLI tool that needs to handle this. Am I missing something obvious? I appreciate any insights! Thanks in advance! What are your experiences with this?