Changes:
- Add `TaskContextEnricher` interface to improve task management and monitoring
- Invoke `enrichContext` in `TaskQueue.add()` whenever a new task is submitted to the Overlord
- Add `TaskContextReport` to write out task context information in reports
Compaction in the native engine by default records the state of compaction for each segment in the lastCompactionState segment field. This PR adds support for doing the same in the MSQ engine, targeted for future cases such as REPLACE and compaction done via MSQ.
Note that this PR doesn't implicitly store the compaction state for MSQ replace tasks; it is stored with flag "storeCompactionState": true in the query context.
Current Runtime Exceptions generated while writing frames only include the exception itself without including the name of the column they were encountered in. This patch introduces the further information in the error and makes it non-retryable.
This PR logs the segment type and reason chosen. It also adds it to the query report, to be displayed in the UI.
This PR adds a new section to the reports, segmentReport. This contains the segment type created, if the query is an ingestion, and null otherwise.
Support for exporting msq results to gcs bucket. This is essentially copying the logic of s3 export for gs, originally done by @adarshsanjeev in this PR - #15689
This PR creates an interface for ImmutableRTree and moved the existing implementation to new class which represent 32 bit implementation (stores coordinate as floats). This PR makes the ImmutableRTree extendable to create higher precision implementation as well (64 bit).
In all spatial bound filters, we accept float as input which might not be accurate in the case of high precision implementation of ImmutableRTree. This PR changed the bound filters to accepts the query bounds as double instead of float and it is backward compatible change as it compares double to existing float values in RTree. Previously it was comparing input float to RTree floats which can cause precision loss, now it is little better as it compares double to float which is still not 100% accurate.
There are no changes in the way that we query spatial dimension today except input bound parsing. There is little improvement in string filter predicate which now parse double strings instead of float and compares double to double which is 100% accurate but string predicate is only called when we dont have spatial index.
With allowing the interface to extend ImmutableRTree, we allow to create high precision (HP) implementation and defines new search strategies to perform HP search Iterable<ImmutableBitmap> search(ImmutableDoubleNode node, Bound bound);
With possible HP implementations, Radius bound filter can not really focus on accuracy, it is calculating Euclidean distance in comparing. As EARTH 🌍 is round and not flat, Euclidean distances are not accurate in geo system. This PR adds new param called 'radiusUnit' which allows you to specify units like meters, km, miles etc. It uses https://en.wikipedia.org/wiki/Haversine_formula to check if given geo point falls inside circle or not. Added a test that generates set of points inside and outside in RadiusBoundTest.
This PR aims to introduce Window functions on MSQ by doing the following:
Introduce a Window querykit for handling window queries along with its factory and a processor for window queries
If a window operator is present with a partition by clause, pushes the partition as a shuffle spec of the previous stage
In presence of empty OVER() clause lets all operators loose on a single rac
In presence of no empty OVER() clause, breaks down each window into individual stages
Associated machinery to handle window functions in MSQ
Introduced a separate hidden engine feature WINDOW_LEAF_OPERATOR which is set only for MSQ engine. In presence of this feature, the planner plans without the leaf operators by creating a window query over an inner scan query. In case of native this is set to false and the planner generates the leafOperators
Guardrails around materialization
Comprehensive UTs
Changes:
Add the following indexer level task metrics:
- `worker/task/running/count`
- `worker/task/assigned/count`
- `worker/task/completed/count`
These metrics will provide more visibility into the tasks distribution across indexers
(We often see a task skew issue across indexers and with this issue it would be easier
to catch the imbalance)
* Mark used and unused APIs by versions.
* remove the conditional invocations.
* isValid() and test updates.
* isValid() and tests.
* Remove warning logs for invalid user requests. Also, downgrade visibility.
* Update resp message, etc.
* tests and some cleanup.
* Docs draft
* Clarify docs
* Update server/src/main/java/org/apache/druid/server/http/DataSourcesResource.java
Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
* Review comments
* Remove default interface methods only used in tests and update docs.
* Clarify javadocs and @Nullable.
* Add more tests.
* Parameterized versions.
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Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
* MSQ: Validate that strings and string arrays are not mixed.
When multi-value strings and string arrays coexist in the same column,
it causes problems with "classic MVD" style queries such as:
select * from wikipedia -- fails at runtime
select count(*) from wikipedia where flags = 'B' -- fails at planning time
select flags, count(*) from wikipedia group by 1 -- fails at runtime
To avoid these problems, this patch adds type verification for INSERT
and REPLACE. It is targeted: the only type changes that are blocked are
string-to-array and array-to-string. There is also a way to exclude
certain columns from the type checks, if the user really knows what
they're doing.
* Fixes.
* Tests and docs and error messages.
* More docs.
* Adjustments.
* Adjust message.
* Fix tests.
* Fix test in DV mode.
* docs: clarify description of uri/uripath
* Apply suggestions from code review
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
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Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Kill task version support.
Kill tasks by default kill all versions of unused segments in the specified
interval. Users wanting to delete specific versions (for example, data compliance
reasons) and keep rest of the versions can specify the optional version in the
kill task payload.
* Formatting changes.
* Multi version tests in RetrieveSegmentsActionsTest
Sort of like method-level parameterized tests.
* Address review feedback
* Accept a list of versions instead of a single version.
Support multiple versions.
* Tests for multiple versions.
* Update docs
* Cleanup
* Address review comments.
Retain the old interface method and make it default and route it to
the method with nullable versions variant. Update usages to use the
default method where versions doesn't matter.
* Remove versions from retreive used segments action.
* Some updates.
* Apply suggestions from code review
Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
* /s/actual/observed/g
* minor test cleanup
* WIP: Test fixes and updates. Also add test for kill by version with used load spec.
Checkpoint.
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Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
Changes:
- Add visibility into number of segments read/published by each parallel compaction
- Add new fields `segmentsRead`, `segmentsPublished` to `IngestionStatsAndErrorsTaskReportData`
- Update `ParallelIndexSupervisorTask` to populate the new stats
* updated description of rowsPerPage in export operations
* Update docs/multi-stage-query/reference.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
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Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Add support for AzureDNSZone enabled storage accounts used for deep storage
Added a new config to AzureAccountConfig
`storageAccountEndpointSuffix`
which allows the user to specify a storage account endpoint suffix where the underlying
storage account is enabled for AzureDNSZone. The previous config `endpointSuffix`, did not allow
support for such accounts. The previous config has been deprecated in favor of this new config. Also
fixed an issue where `managedIdentityClientId` was not being set properly
* * address review comments
* * add back azure government link and docs
* Move retries into DataSegmentPusher implementations.
The individual implementations know better when they should and should
not retry. They can also generate better error messages.
The inspiration for this patch was a situation where EntityTooLarge was
generated by the S3DataSegmentPusher, and retried uselessly by the
retry harness in PartialSegmentMergeTask.
* Fix missing var.
* Adjust imports.
* Tests, comments, style.
* Remove unused import.
* docs: add mermaid diagram support
* fix crash when parsing data in data loader that can not be parsed (#15983)
* update jetty to address CVE (#16000)
* Concurrent replace should work with supervisors using concurrent locks (#15995)
* Concurrent replace should work with supervisors using concurrent locks
* Ignore supervisors with useConcurrentLocks set to false
* Apply feedback
* Add pre-check for heavy debug logs (#15706)
Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
Co-authored-by: Benedict Jin <asdf2014@apache.org>
* Remove helm paths from CodeQL config (#16006)
* docs: mention acid-compliance for metadb
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Co-authored-by: Vadim Ogievetsky <vadim@ogievetsky.com>
Co-authored-by: Jan Werner <105367074+janjwerner-confluent@users.noreply.github.com>
Co-authored-by: AmatyaAvadhanula <amatya.avadhanula@imply.io>
Co-authored-by: Sensor <fectrain@outlook.com>
Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
Co-authored-by: Benedict Jin <asdf2014@apache.org>
* Update basic-cluster-tuning.md
The sentence "When free system memory is greater than or equal to druid.segmentCache.locations, the more segment data the Historical can be held in the memory-mapped segment cache" didn't read well. Updated to clarify it.
* Update docs/operations/basic-cluster-tuning.md
* Update docs/operations/basic-cluster-tuning.md
---------
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* All segments stored in the same batch have the same created_date entry.
In the absence of a group_id column, this metadata would allow us to easily
reason about and troubleshoot ingestion-related issues.
* Rename metric name and code references to eligibleUnusedSegments.
Address review comment from https://github.com/apache/druid/pull/15941#discussion_r1503631992
* Kill duty and test improvements.
Initial commit with:
- Bug fixes - auto-kill can throw NPE when there are no datasources present and defaults mismatch.
- Add new stat for candidate segment intervals killed.
- Move a couple of debug logs to info logs for improved visibility (should only log once per kill period).
- Remove redundant checks for code readability.
- Updated tests from using mocks (also the mocks weren't using last updated timestamp) and
add more test coverage for different config parameters.
- Add a couple of unit tests that are ignored for the eternity case to prove that
the kill duty doesn't clean up segments with ALL grain or that end in DateTimes.MAX.
- Migrate Druid exception from user to operator persona.
* Address review comments.
* Remove unused methods.
* fix up format specifier and validate bad config tests.
* Consolidate the helpers a bit more and add another test.
* Update test names. Add javadoc placeholders for slightly involved tests.
* Add docs for metric kill/candidateUnusedSegments/count.
Also, rename to disambiguate.
* Comments.
* Apply logging suggestions from code review
Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
* Review comments
- Clarify docs on eligibility.
- Add test for multiple segments in the same interval. Clarify comment.
- Remove log line from test.
- Remove lastUpdatedDate = now.plus(10) from test.
* minor cleanup.
* Clarify javadocs for getUnusedSegmentIntervals().
---------
Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
* Fix up typos, inaccuracies and clean up code related to PARTITIONED BY.
* Remove wrapper function and update tests to use DruidExceptionMatcher.
* Checkstyle and Intellij inspection fixes.
Changes:
- Add visibility into number of records processed by each streaming task per partition
- Add field `recordsProcessed` to `IngestionStatsAndErrorsTaskReportData`
- Populate number of records processed per partition in `SeekableStreamIndexTaskRunner`