pan3793 opened a new pull request, #46966:
URL: https://github.com/apache/spark/pull/46966
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### What changes were proposed in this pull request?
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Log `TID` for "input split" in `HadoopRDD` and `NewHadoopRDD`
### Why are the changes needed?
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This change should benefit both structured logging enabled/disabled cases.
When structured logging is disabled, and executor cores > 1, the logs of
tasks are mixed in stdout, something like
```
24/06/12 21:40:10 INFO Executor: Running task 26.0 in stage 2.0 (TID 10)
24/06/12 21:40:10 INFO Executor: Running task 27.0 in stage 2.0 (TID 11)
24/06/12 21:40:11 INFO FileScanRDD: Reading File path:
hdfs://***/***.c000.gz.parquet, range: 0-16629, partition values: [20240608]
24/06/12 21:40:11 INFO FileScanRDD: Reading File path:
hdfs://***/***.c001.gz.parquet, range: 0-16629, partition values: [20240608]
```
it's hard to say which file is read by which task because they run in
parallel.
If something goes wrong, the log prints `TID` and exception stack trace, the
error may related to the input data, sometimes that `exception message` is
clear enough to show which file that input data comes from, but sometimes not,
in the latter case, the current log is not clear enough to allow us to identify
the bad file quickly.
```
24/06/12 21:40:18 ERROR Executor: Exception in task 27.0 in stage 2.0 (TID
11)
(... exception message)
(... stacktraces)
```
When structured logging is enabled, exposing TID as a LogKey makes the logs
more selective.
### Does this PR introduce _any_ user-facing change?
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Yes, it supplies additional information in logs.
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Review, as it only touches log contents.
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No
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