viirya opened a new pull request #32033:
URL: https://github.com/apache/spark/pull/32033
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### What changes were proposed in this pull request?
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This patch catches `IOException`, which is possibly thrown due to unable to
deserialize map statuses (e.g., broadcasted value is destroyed), when
deserilizing map statuses. Once `IOException` is caught,
`MetadataFetchFailedException` is thrown to let Spark handle it.
### Why are the changes needed?
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One customer encountered application error. From the log, it is caused by
accessing non-existing broadcasted value. The broadcasted value is map
statuses. There is a race-condition.
After map statuses are broadcasted and the executors obtain serialized
broadcasted map statuses. If any fetch failure happens after, Spark scheduler
invalidates cached map statuses and destroy broadcasted value of the map
statuses. Then any executor trying to deserialize serialized broadcasted map
statuses and access broadcasted value, `IOException` will be thrown. Currently
we don't catch it in `MapOutputTrackerWorker` and above exception will fail the
application.
Normally we should throw a fetch failure exception for such case. Spark
scheduler will handle this.
### Does this PR introduce _any_ user-facing change?
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No
### How was this patch tested?
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Unit test. Wait for customer verification too.
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