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[GitHub] [druid] capistrant opened a new pull request #11913: Batch Indexing short circuits
capistrant opened a new pull request #11913:
URL: https://github.com/apache/druid/pull/11913
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### Description
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Add configurations to `index_hadoop` and `index` task type tuning configs that allow for certain ingestion jobs to short circuit early if they are determined to breach the configured thresholds that have been added by this PR. The defaults for these circuit breaker configs are turned off by default.
short circuit 1: maxSegmentsIngested - short circuits the ingestion job if it is determined that the job will generate a number of segments greater than what is specified in the tuningConfig
short circuit 2: maxIntervalsIngested - short circuits the ingestion job if it is determined that the job will generate a number of segment intervals greater than what is specified in the tuningConfig
These short circuits only apply in certain scenarios:
* index_hadoop
* hashed partitioning
* both the segments circuit breaker and intervals circuit breaker are in effect if the job has to determine partitions
* single dim partitioning
* only the intervals circuit breaker is in effect if the job has to determine intervals at runtime
* index
* dynamic partitioning
* only the intervals circuit breaker is in effect if the job has to determine intervals at runtime
* hashed partitioning
* both the segments circuit breaker and intervals circuit breaker are in effect if the job has to determine partitions
why not have both circuit breakers in effect for all batch job types?
* first of all, the circuit breakers only really make sense when the intervals and/or partitions are generated at runtime because this is a spec level config and if the spec knows the partitions and/or intervals due to explicit inclusion in the spec, the thresholds are not really needed.. the spec creator just needs to not submit that spec.
* It was not obvious how this would be implemented for index_parallel due to the architecture of that task type
* It is not possible for dynamic partitioning in the `index` task type, because the partitions are generated dynamically when the segments are being generated.
* It was not obvious if it was possible to do the segments threshold for single_dim in `index_hadoop`
Why is this useful?
* Prevented jobs of unexpected or undesired size.
* my use case is a multi-tenant cluster where data engineers ingest their own data. we have control over the spec submit, but not what underlying data the spec points to. That is why it is helpful for us to inject these configs to prevent jobs from creating an obscene amount of segments that would hurt the quality of service for other users on the multi-tenant cluster.
* even in the case where the spec and data owner are the same. it may be useful for the spec owner to add these in order to guard against mistakenly creating something they did not intend to (perhaps generating far more number of segments than they wanted due to misunderstanding of underlying data being ingested)
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<hr>
##### Key changed/added classes in this PR
* `JobHelper`
* `IndexTask`
* `HashPartitionAnalysis`
* `HadoopTuningConfig`
* `HadoopDruidDetermineConfigurationJob`
<hr>
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This PR has:
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- [ ] using the [concurrency checklist](https://github.com/apache/druid/blob/master/dev/code-review/concurrency.md) (Remove this item if the PR doesn't have any relation to concurrency.)
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- [ ] been tested in a test Druid cluster.
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