yaooqinn opened a new pull request, #38024:
URL: https://github.com/apache/spark/pull/38024
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### What changes were proposed in this pull request?
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Let's take a look at the case below, the left and the right are visiting the
same table and its partitions, and both of them are ignoreCorruptFiles=true.
The right side shows that a task skips partial of the data it reads because of
encountering 'corrupt data', while the left read this file correctly. As
ignoreCorruptFiles coarsely works with RuntimeException and IOException, it can
not always represent data corruption.
What's worse, such kinds of tasks are always marked as successful on the web
UI. The same query visiting the same snapshot of data might result in
inconsistency silently.
In this PR, we make the ignoreCorruptFiles work with taskAttemptNumber
together, that is, only the last attempt will ignore the maybe-corrupted file.
Users may want fewer retries in case of performance regressions, so
ignoreCorruptFilesAfterRetries is introduced which can be set to less than
`spark.task.maxFailures`.
### Why are the changes needed?
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Fix data loss.
Also, the UI now contains failed tasks for both positive and negative data
corruption which helps us in bug hunting.
### Does this PR introduce _any_ user-facing change?
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No, it's a bug fix (maybe a UI change like what I said above).
### How was this patch tested?
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tested locally and existing tests for ignoreCorruptFiles
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