split KillUnusedSegmentsTask to smaller batches
Processing in smaller chunks allows the task execution to yield the TaskLockbox lock,
which allows the overlord to continue being responsive to other tasks and users while
this particular kill task is executing.
* introduce KillUnusedSegmentsTask batchSize parameter to control size of batching
* provide an explanation for kill task batchSize parameter
* add logging details for kill batch progress
This PR has fixes a bug in the SqlStatementAPI where if the task is not found on the overlord, the response status is 500.
This changes the response to invalid input since the queryID passed is not valid.
* fix issue with nested virtual column array element vector selectors when input is numeric array but output is non-numeric
* add vector value selector for mixed numeric type variant and nested variant fields, tests
* Save a metadata call when reading files from CloudObjectInputSource.
The call to createSplits(inputFormat, null) in formattableReader would
use the default split hint spec, MaxSizeSplitHintSpec, which makes
getObjectMetadata calls in order to compute its splits. This isn't
necessary; we're just trying to unpack the files inside the input
source.
To fix this, use FilePerSplitHintSpec to extract files without any
funny business.
* Adjust call.
* Fix constant.
* Test coverage.
* Frames support for string arrays that are null.
The row format represents null arrays as 0x0001, which older readers
would interpret as an empty array. This provides compatibility with
older readers, which is useful during updates.
The column format represents null arrays by writing -(actual length) - 1
instead of the length, and using FrameColumnWriters.TYPE_STRING_ARRAY for
the type code for string arrays generally. Older readers will report this
as an unrecognized type code. Column format is only used by the operator
query, which is currently experimental, so the impact isn't too severe.
* Remove unused import.
* Return Object[] instead of List from frame array selectors.
Update MSQSelectTest and MSQInsertTest to reflect the fact that null
arrays are possible.
Add a bunch of javadocs to object selectors describing expected behavior,
including the requirement that array selectors return Object[].
* update test case.
* Update test cases.
Changes
- Rename `LoadQueuePeonTester` to `TestLoadQueuePeon`
- Simplify `TestLoadQueuePeon` by removing dependency on `CuratorLoadQueuePeon`
- Remove usages of mock peons in `LoadRuleTest` and use `TestLoadQueuePeon` instead
* fix issues with equality and range filters matching double values to long typed inputs
* adjust to ensure we never homogenize null, [], and [null] into [null] for expressions on real array columns
* allow for batched delete of segments instead of deleting segment data one by one
create new batchdelete method in datasegment killer that has default functionality
of iterating through all segments and calling delete on them. This will enable
a slow rollout of other deepstorage implementations to move to a batched delete
on their own time
* cleanup batchdelete segments
* batch delete with the omni data deleter
cleaned up code
just need to add tests and docs for this functionality
* update java doc to explain how it will try to use batch if function is overwritten
* rename killBatch to kill
add unit tests
* add omniDataSegmentKillerTest for deleting multiple segments at a time. fix checkstyle
* explain test peculiarity better
* clean up batch kill in s3.
* remove unused return value. cleanup comments and fix checkstyle
* default to batch delete. more specific java docs. list segments that couldn't be deleted
if there was a client error or server error
* simplify error handling
* add tests where an exception is thrown when killing multiple s3 segments
* add test for failing to delete two calls with the s3 client
* fix javadoc for kill(List<DataSegment> segments) clean up tests remove feature flag
* fix typo in javadocs
* fix test failure
* fix checkstyle and improve tests
* fix intellij inspections issues
* address comments, make delete multiple segments not assume same bucket
* fix test errors
* better grammar and punctuation. fix test. and better logging for exception
* remove unused code
* avoid extra arraylist instantiation
* fix broken test
* fix broken test
* fix tests to use assert.throws
* Merge core CoordinatorClient with MSQ CoordinatorServiceClient.
Continuing the work from #12696, this patch merges the MSQ
CoordinatorServiceClient into the core CoordinatorClient, yielding a single
interface that serves both needs and is based on the ServiceClient RPC
system rather than DruidLeaderClient.
Also removes the backwards-compatibility code for the handoff API in
CoordinatorBasedSegmentHandoffNotifier, because the new API was added
in 0.14.0. That's long enough ago that we don't need backwards
compatibility for rolling updates.
* Fixups.
* Trigger GHA.
* Remove unnecessary retrying in DruidInputSource. Add "about an hour"
retry policy and h
* EasyMock
Changes:
- Fix race condition in KubernetesTaskRunner introduced by #14435
- Perform addition and removal from map inside a synchronized block
- Update tests
CVE-2023-34462 - (Allows malicious allocation of resources without throttling) Not applicable as the Netty requests in Druid are internal, and not user facing.
CVE-2016-2402 - (Man in the middle with okhttp by sending certificate chains) Not applicable as okhttp requests in Druid are also internal
* Use OverlordClient for all Overlord RPCs.
Continuing the work from #12696, this patch removes HttpIndexingServiceClient
and the IndexingService flavor of DruidLeaderClient completely. All remaining
usages are migrated to OverlordClient.
Supporting changes include:
1) Add a variety of methods to OverlordClient.
2) Update MetadataTaskStorage to skip the complete-task lookup when
the caller requests zero completed tasks. This helps performance of
the "get active tasks" APIs, which don't want to see complete ones.
* Use less forbidden APIs.
* Fixes from CI.
* Add test coverage.
* Two more tests.
* Fix test.
* Updates from CR.
* Remove unthrown exceptions.
* Refactor to improve testability and test coverage.
* Add isNil tests.
* Remove unnecessary "deserialize" methods.
Related to #14634
Changes:
- Update `IndexerSQLMetadataStorageCoordinator.deleteSegments` to use
JDBI PreparedBatch instead of issuing single DELETE statements
This PR adds a simple, stateless, SQL backed, data exploration view to the web console. The idea is to let users explore data in Druid with point-and-click interaction and visualizations (instead of writing SQL and looking at a table). This can provide faster time-to-value for a user new to Druid and can allow a Druid veteran to quickly chart some data that they care about.
This PR uses the QoSFilter available in Jetty to park the query requests that exceed a configured limit. This is done so that other HTTP requests such as health check calls do not get blocked if the query server is busy serving long-running queries. The same mechanism can also be used in the future to isolate interactive queries from long-running select queries from interactive queries within the same broker.
Right now, you can still get that isolation by setting druid.query.scheduler.numThreads to a value lowe than druid.server.http.numThreads. That enables total laning but the side effect is that excess requests are not queued and rejected outright that leads to a bad user experience.
Parked requests are timed out after 30 seconds by default. I overrode that to the maxQueryTimeout in this PR.
* Simplify bounds/range vs selectors/equality logic in SQL planning.
1) Consolidate duplicate code related to Expressions#buildTimeFloorFilter.
2) Cleaner logic in Expressions#toSimpleLeafFilter: choose bounds vs range
filter based solely on plannerContext.isUseBoundsAndSelectors, not also
considering rhs kind. Use parsed rhs in both paths (except for numerics
in the bound path).
3) Fix ArrayContains, ArrayOverlap to avoid equality filters when there is
an extractionFn present. Fixes a bug introduced in #14612.
* Avoid sending nonprimitives down the bound path.
* Add ingest/input/bytes metric and Kafka consumer metrics.
New metrics:
1) ingest/input/bytes. Equivalent to processedBytes in the task reports.
2) kafka/consumer/bytesConsumed: Equivalent to the Kafka consumer
metric "bytes-consumed-total". Only emitted for Kafka tasks.
3) kafka/consumer/recordsConsumed: Equivalent to the Kafka consumer
metric "records-consumed-total". Only emitted for Kafka tasks.
* Fix anchor.
* Fix KafkaConsumerMonitor.
* Interface updates.
* Doc changes.
* Update indexing-service/src/main/java/org/apache/druid/indexing/seekablestream/SeekableStreamIndexTask.java
Co-authored-by: Benedict Jin <asdf2014@apache.org>
---------
Co-authored-by: Benedict Jin <asdf2014@apache.org>
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