Comments (3)
cerveada
commented on June 20, 2024
You can convert from Avro to Spark format, but you need to somehow get the Avro schema. The key and value are not really different in most cases.
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talperetz1
commented on June 20, 2024
Hi, @cerveada I did it but the the fame i get is with column name from_avro(kafka_binary_key) and the value in this column is 1.
So its look like the key "id" is missing from some reason. I expected to see column id and value 1
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cerveada
commented on June 20, 2024
Couldn't you just rename the column name to 'key' then?
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Related Issues (20)
- from_avro converts `\uFFFD` to a question mark HOT 1
- schema registry being called with http instead of https HOT 2
- Improve code-coverage & add GH check action HOT 1
- Fix JaCoCo CI for PRs from forked repos HOT 1
- update madrapps/jacoco-report
- Detect different schema versions in batch HOT 5
- Revert pull_request action back HOT 3
- TopicNameStrategy issue HOT 1
- Split GitHub actions for tests and test coverage
- Multiple schemas in one topic example HOT 1
- Spark 3.4 Support HOT 13
- malformed records to topic HOT 2
- foreach batch download by schem id HOT 3
- Container exited with a non-zero exit code 137 | Out of memory HOT 5
- Issues running inside Scala notebook on databricks HOT 1
- Fix tests for Spark 3.5.0
- Fix NoSuchMethodException in Spark 3.5.x
- Compatibility with Spark 3.5 HOT 3
- Version 6.4.0 failing for Spark 3.5.0 HOT 2
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