[SPARK-33955][SS] Add latest offsets to source progress #30988
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dongjoon-hyun
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Jan 2, 2021
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cc @HeartSaVioR and @xuanyuanking FYI |
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Looks making sense to me too |
dongjoon-hyun
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Jan 3, 2021
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+1, LGTM. Thank you, @viirya and @HyukjinKwon .
Merged to master for Apache Spark 3.2.0.
flyrain
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Sep 21, 2021
This patch proposes to add latest offset to source progress for streaming queries.
Currently we record start and end offsets per source in streaming process. Latest offset is an important information for streaming process but the progress lacks of this info. We can use it to track the process lag and adjust streaming queries. We should add latest offset to source progress.
Yes, for new metric about latest source offset in source progress.
Unit test. Manually test in Spark cluster:
```
"description" : "KafkaV2[Subscribe[page_view_events]]",
"startOffset" : {
"page_view_events" : {
"2" : 582370921,
"4" : 391910836,
"1" : 631009201,
"3" : 406601346,
"0" : 195799112
}
},
"endOffset" : {
"page_view_events" : {
"2" : 583764414,
"4" : 392338002,
"1" : 632183480,
"3" : 407101489,
"0" : 197304028
}
},
"latestOffset" : {
"page_view_events" : {
"2" : 589852545,
"4" : 394204277,
"1" : 637313869,
"3" : 409286602,
"0" : 203878962
}
},
"numInputRows" : 4999997,
"inputRowsPerSecond" : 29287.70501405811,
```
Closes apache#30988 from viirya/latest-offset.
Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
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What changes were proposed in this pull request?
This patch proposes to add latest offset to source progress for streaming queries.
Why are the changes needed?
Currently we record start and end offsets per source in streaming process. Latest offset is an important information for streaming process but the progress lacks of this info. We can use it to track the process lag and adjust streaming queries. We should add latest offset to source progress.
Does this PR introduce any user-facing change?
Yes, for new metric about latest source offset in source progress.
How was this patch tested?
Unit test. Manually test in Spark cluster: