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Flink Jira Bot updated FLINK-25962: ----------------------------------- Labels: auto-deprioritized-major pull-request-available stale-major (was: auto-deprioritized-major pull-request-available) I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help the community manage its development. I see this issues has been marked as Major but is unassigned and neither itself nor its Sub-Tasks have been updated for 60 days. I have gone ahead and added a "stale-major" to the issue". If this ticket is a Major, please either assign yourself or give an update. Afterwards, please remove the label or in 7 days the issue will be deprioritized. > Flink generated Avro schemas can't be parsed using Python > --------------------------------------------------------- > > Key: FLINK-25962 > URL: https://issues.apache.org/jira/browse/FLINK-25962 > Project: Flink > Issue Type: Bug > Affects Versions: 1.14.3 > Reporter: Ryan Skraba > Priority: Major > Labels: auto-deprioritized-major, pull-request-available, > stale-major > > Flink currently generates Avro schemas as records with the top-level name > {{"record"}} > Unfortunately, there is some inconsistency between Avro implementations in > different languages that may prevent this record from being read, notably > Python, which generates the error: > *avro.schema.SchemaParseException: record is a reserved type name* > (See the comment on FLINK-18096 for the full stack trace). > The Java SDK accepts this name, and there's an [ongoing > discussion|https://lists.apache.org/thread/0wmgyx6z69gy07lvj9ndko75752b8cn2] > about what the expected behaviour should be. This should be clarified and > fixed in Avro, of course. > Regardless of the resolution, the best practice (which is used almost > everywhere else in the Flink codebase) is to explicitly specify a top-level > namespace for an Avro record. We should use a default like: > {{{}org.apache.flink.avro.generated{}}}. -- This message was sent by Atlassian Jira (v8.20.10#820010)