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Posted to reviews@spark.apache.org by "pan3793 (via GitHub)" <gi...@apache.org> on 2024/06/13 06:28:56 UTC
[PR] [SPARK-48611][CORE] Log TID for input split in HadoopRDD and NewHadoopRDD [spark]
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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Re: [PR] [SPARK-48611][CORE] Log TID for input split in HadoopRDD and NewHadoopRDD [spark]
Posted by "gengliangwang (via GitHub)" <gi...@apache.org>.
gengliangwang commented on PR #46966:
URL: https://github.com/apache/spark/pull/46966#issuecomment-2169077429
Thanks, merging to master
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Re: [PR] [SPARK-48611][CORE] Log TID for input split in HadoopRDD and NewHadoopRDD [spark]
Posted by "pan3793 (via GitHub)" <gi...@apache.org>.
pan3793 commented on PR #46966:
URL: https://github.com/apache/spark/pull/46966#issuecomment-2164603320
cc @gengliangwang @yaooqinn @LuciferYang
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Re: [PR] [SPARK-48611][CORE] Log TID for input split in HadoopRDD and NewHadoopRDD [spark]
Posted by "gengliangwang (via GitHub)" <gi...@apache.org>.
gengliangwang closed pull request #46966: [SPARK-48611][CORE] Log TID for input split in HadoopRDD and NewHadoopRDD
URL: https://github.com/apache/spark/pull/46966
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Re: [PR] [SPARK-48611][CORE] Log TID for input split in HadoopRDD and NewHadoopRDD [spark]
Posted by "pan3793 (via GitHub)" <gi...@apache.org>.
pan3793 commented on code in PR #46966:
URL: https://github.com/apache/spark/pull/46966#discussion_r1639180822
##########
core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala:
##########
@@ -270,7 +270,8 @@ class HadoopRDD[K, V](
val iter = new NextIterator[(K, V)] {
private val split = theSplit.asInstanceOf[HadoopPartition]
- logInfo(log"Input split: ${MDC(INPUT_SPLIT, split.inputSplit)}")
+ logInfo(log"Task (TID ${MDC(TASK_ID, context.taskAttemptId())}) input split: " +
Review Comment:
`context.taskAttemptId()` is task id, this was clarified in https://github.com/apache/spark/pull/45834#discussion_r1635746525
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Re: [PR] [SPARK-48611][CORE] Log TID for input split in HadoopRDD and NewHadoopRDD [spark]
Posted by "gengliangwang (via GitHub)" <gi...@apache.org>.
gengliangwang commented on code in PR #46966:
URL: https://github.com/apache/spark/pull/46966#discussion_r1638891347
##########
core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala:
##########
@@ -270,7 +270,8 @@ class HadoopRDD[K, V](
val iter = new NextIterator[(K, V)] {
private val split = theSplit.asInstanceOf[HadoopPartition]
- logInfo(log"Input split: ${MDC(INPUT_SPLIT, split.inputSplit)}")
+ logInfo(log"Task (TID ${MDC(TASK_ID, context.taskAttemptId())}) input split: " +
Review Comment:
Use `TASK_ATTEMPT_ID`?
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