SrikanthNidamanuri opened a new issue, #25606:
URL: https://github.com/apache/beam/issues/25606
### What happened?
Hello,
I have a scenario to build a data pipeline that ingests source data which is
in the ndjson file (from GCS) to BigQuery.
Here, I want to define a field type as JSON while defining BigQuery Schema.
Ex: ParsedJson.apply("Write to BigQuery",
BigQueryIO.writeTableRows().to("BQDestination")
new TableFieldSchema(). SetName ("_source"). SetType ("JSON"). SetMode
("NULLABLE").
After the successful job run, Subfields inside this particular JSON field
are losing their accuracy. How can I resolve this issue?
As my source data is dynamic in nature, I don't want to explicitly mention
subfields schema while defining BigQuery Schema. And I want to write as JSON
datatype only(not as string or RECORD etc) without loosing accuracy.
### Issue Priority
Priority: 3 (minor)
### Issue Components
- [ ] Component: Python SDK
- [X] Component: Java SDK
- [ ] Component: Go SDK
- [ ] Component: Typescript SDK
- [X] Component: IO connector
- [ ] Component: Beam examples
- [ ] Component: Beam playground
- [ ] Component: Beam katas
- [ ] Component: Website
- [ ] Component: Spark Runner
- [ ] Component: Flink Runner
- [ ] Component: Samza Runner
- [ ] Component: Twister2 Runner
- [ ] Component: Hazelcast Jet Runner
- [ ] Component: Google Cloud Dataflow Runner
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