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Add metrics for successful/failed Spark index creation #837
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b02e574
Add index creation metrics
Swiddis 3595c7d
Merge remote-tracking branch 'upstream/main'
Swiddis fc42d23
Update emit metric function location
Swiddis bc01d4d
Apply scalafmt
Swiddis 21a24ee
Merge remote-tracking branch 'upstream/main' into feature/index-metrics
Swiddis 98d2377
revert FlintSparkIndexFactory metrics emission
Swiddis 20c4973
Update OS client to emit metrics
Swiddis 7df59b8
Merge remote-tracking branch 'upstream/main' into feature/index-metrics
Swiddis d77c723
Fix index kind detection
Swiddis 51145c1
Remove cumbersome with() method
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Could you double check if this is the right place? I recall this factory is actually deserializer from Flint metadata to index class. I guess you may want to intercept API call in
FlintSpark
? Also for all metrics related logic, please consider AOP style rather than insert this logic in many places.There was a problem hiding this comment.
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+1, sample code https://github.com/opensearch-project/opensearch-spark/blob/main/flint-spark-integration/src/main/scala/org/opensearch/flint/spark/refresh/util/RefreshMetricsAspect.scala
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Moved the metric collection to the new location. I experimented with trying something AOP-like but it was cumbersome -- linking the existing logic in spark/refresh introduces a circular dependency, and the callable implicitly raising
Exception
makes error handling awkward if trying to make a general-purpose duplicate of what exists on the Scala side.