Fixed a bug resulting in high number of PartitionKeyRange ReadFeed requests when using bulk execution not using Spark connector. #37920
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…out SparkConnector
…to users/fabianm/PKRangeFeedInvestigation
FabianMeiswinkel
requested review from
kushagraThapar,
kirankumarkolli,
xinlian12,
milismsft,
aayush3011,
simorenoh,
jeet1995 and
Pilchie
as code owners
FabianMeiswinkel
changed the title
|
API change check API changes are not detected in this pull request. |
…to users/fabianm/PKRangeFeedInvestigation
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/azp run java - cosmos - tests |
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/azp run java - cosmos - spark |
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Azure Pipelines successfully started running 1 pipeline(s). |
1 similar comment
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Azure Pipelines successfully started running 1 pipeline(s). |
kushagraThapar
approved these changes
Dec 5, 2023
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Description
BulkExecutor when outside of Spark was using ContainerAsync.getFeedRanges to get physical partition information - this call would always force the call to be sent to the service (instead of using the local cache). The fix will instead use the cached PKRanges in bulk.
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