[SPARK-50372][CONNECT][SQL] Make all DF execution path collect observed metrics #48920
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xupefei
commented
Nov 21, 2024
| CollectMetrics(name, metrics.map(_.named), transformRelation(rel.getInput), planId) | ||
| CollectMetrics(name, metrics.map(_.named), input, planId) |
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This fixes a bug where the input of a CollectMetrics can be processed two times, once in Line 1190 and once here/below.
When the input contains another CollectMetrics, transforming it twice will cause two Observation objects (in the input) to be initialised and registered two times to the system. Since only one of them will be fulfilled when the query finishes, the one we'll be looking at may not have any data.
This issue is highlighted in the test case Observation.get is blocked until the query is finished ..., where we specifically execute observedObservedDf, which is a CollectMetrics that has another CollectMetrics as its input.
vicennial
approved these changes
Nov 21, 2024
connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/SparkSession.scala
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HyukjinKwon
changed the title
HyukjinKwon
approved these changes
Nov 21, 2024
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What changes were proposed in this pull request?
This PR fixes an issue that some of DataFrame execution paths would not process
ObservedMetrics. The fix is done by injecting a lazy processing logic into the result iterator.This PR also fixes an issue in which on the Server side, two observed metrics can be assigned to the same Plan ID when they are in the same plan (e.g., one observation is used as the input of another). The fix is to traverse the plan and find all observations with correct IDs.
Another bug is discovered as a byproduct of introducing a new test case. Copying the PR comment here from SparkConnectPlanner.scala:
Why are the changes needed?
To fix a bug.
Does this PR introduce any user-facing change?
Yes, this bug is user-facing.
How was this patch tested?
New tests.
Was this patch authored or co-authored using generative AI tooling?
No.