Changes:
- Rename `DataSegmentChangeRequestAndStatus` to `DataSegmentChangeResponse`
- Rename `SegmentLoadDropHandler.Status` to `SegmentChangeStatus`
- Remove method `CoordinatorRunStats.getSnapshotAndReset()` as it was used only in
load queue peon implementations. Using an atomic reference is much simpler.
- Remove `ServerTestHelper.MAPPER`. Use existing `TestHelper.makeJsonMapper()` instead.
* MSQ controller: Support in-memory shuffles; towards JVM reuse.
This patch contains two controller changes that make progress towards a
lower-latency MSQ.
First, support for in-memory shuffles. The main feature of in-memory shuffles,
as far as the controller is concerned, is that they are not fully buffered. That
means that whenever a producer stage uses in-memory output, its consumer must run
concurrently. The controller determines which stages run concurrently, and when
they start and stop.
"Leapfrogging" allows any chain of sort-based stages to use in-memory shuffles
even if we can only run two stages at once. For example, in a linear chain of
stages 0 -> 1 -> 2 where all do sort-based shuffles, we can use in-memory shuffling
for each one while only running two at once. (When stage 1 is done reading input
and about to start writing its output, we can stop 0 and start 2.)
1) New OutputChannelMode enum attached to WorkOrders that tells workers
whether stage output should be in memory (MEMORY), or use local or durable
storage.
2) New logic in the ControllerQueryKernel to determine which stages can use
in-memory shuffling (ControllerUtils#computeStageGroups) and to launch them
at the appropriate time (ControllerQueryKernel#createNewKernels).
3) New "doneReadingInput" method on Controller (passed down to the stage kernels)
which allows stages to transition to POST_READING even if they are not
gathering statistics. This is important because it enables "leapfrogging"
for HASH_LOCAL_SORT shuffles, and for GLOBAL_SORT shuffles with 1 partition.
4) Moved result-reading from ControllerContext#writeReports to new QueryListener
interface, which ControllerImpl feeds results to row-by-row while the query
is still running. Important so we can read query results from the final
stage using an in-memory channel.
5) New class ControllerQueryKernelConfig holds configs that control kernel
behavior (such as whether to pipeline, maximum number of concurrent stages,
etc). Generated by the ControllerContext.
Second, a refactor towards running workers in persistent JVMs that are able to
cache data across queries. This is helpful because I believe we'll want to reuse
JVMs and cached data for latency reasons.
1) Move creation of WorkerManager and TableInputSpecSlicer to the
ControllerContext, rather than ControllerImpl. This allows managing workers and
work assignment differently when JVMs are reusable.
2) Lift the Controller Jersey resource out from ControllerChatHandler to a
reusable resource.
3) Move memory introspection to a MemoryIntrospector interface, and introduce
ControllerMemoryParameters that uses it. This makes it easier to run MSQ in
process types other than Indexer and Peon.
Both of these areas will have follow-ups that make similar changes on the
worker side.
* Address static checks.
* Address static checks.
* Fixes.
* Report writer tests.
* Adjustments.
* Fix reports.
* Review updates.
* Adjust name.
* Small changes.
This PR fixes the first and last vector aggregators and improves their readability. Following changes are introduced
The folding is broken in the vectorized versions. We consider time before checking the folded object.
If the numerical aggregator gets passed any other object type for some other reason (like String), then the aggregator considers it to be folded, even though it shouldn’t be. We should convert these objects to the desired type, and aggregate them properly.
The aggregators must properly use generics. This would minimize the ClassCastException issues that can happen with mixed segment types. We are unifying the string first/last aggregators with numeric versions as well.
The aggregators must aggregate null values (https://github.com/apache/druid/blob/master/processing/src/main/java/org/apache/druid/query/aggregation/first/StringFirstLastUtils.java#L55-L56 ). The aggregator should only ignore pairs with time == null, and not value == null
Time nullity is ignored when trying to vectorize the data.
String versions initialized with DateTimes.MIN that is equal to Long.MIN / 2. This can cause incorrect results in case the user enters a custom time column. NOTE: This is still present because it would require a larger refactor in all of the versions.
There is a difference in what users might expect from the results because the code flow is changed (for example, the direction of the for loops, etc), however, this will only change the results, and not the contract set by first/last aggregators, which is that if multiple values have the same timestamp, then any of them can get picked.
If the column is non-existent, the users might expect a change in the timestamp from DateTime.MAX to Long.MAX, because the code incorrectly used DateTime.MAX to initialize the aggregator, however, in case of a custom timestamp column, this might not be the case. The SQL query might be prohibited from using any Long since it requires a cast to the timestamp function that can fail, but AFAICT native queries don't have such limitations.
Changes:
- Add new config `lagAggregate` to `LagBasedAutoScalerConfig`
- Add field `aggregateForScaling` to `LagStats`
- Use the new field/config to determine which aggregate to use to compute lag
- Remove method `Supervisor.computeLagForAutoScaler()`
Changes:
- Add `LookupLoadingSpec` to support 3 modes of lookup loading: ALL, NONE, ONLY_REQUIRED
- Add method `Task.getLookupLoadingSpec()`
- Do not load any lookups for `KillUnusedSegmentsTask`
Changes:
1) Check for handoff of upgraded realtime segments.
2) Drop sink only when all associated realtime segments have been abandoned.
3) Delete pending segments upon commit to prevent unnecessary upgrades and
partition space exhaustion when a concurrent replace happens. This also prevents
potential data duplication.
4) Register pending segment upgrade only on those tasks to which the segment is associated.
Issue: #14989
The initial step in optimizing segment metadata was to centralize the construction of datasource schema in the Coordinator (#14985). Thereafter, we addressed the problem of publishing schema for realtime segments (#15475). Subsequently, our goal is to eliminate the requirement for regularly executing queries to obtain segment schema information.
This is the final change which involves publishing segment schema for finalized segments from task and periodically polling them in the Coordinator.
Tries to address the comments made on #16284 after merged.
Changes:
- Remove method `Supervisor.getLagMetric()`
- Add method `Supervisor.computeLagForAutoScaler()`
- Remove classes `LagMetric` and `LagMetricTest`
Changes:
- Add column `task_allocator_id` to `pendingSegments` metadata table.
- Add column `upgraded_from_segment_id` to `pendingSegments` metadata table.
- Add interface `PendingSegmentAllocatingTask` and implement it by all tasks which
can allocate pending segments.
- Use `taskAllocatorId` to identify the task (and its sub-tasks or replicas) to which
a pending segment has been allocated.
- Perform active cleanup of pending segments in `TaskLockbox` once there are no
active tasks for the corresponding task allocator id.
- When committing APPEND segments, also commit all upgraded pending segments
corresponding to that task allocator id.
- When committing REPLACE segments, upgrade all overlapping pending segments in
the same transaction.
Bug:
#15724 introduced a bug where a rolling upgrade would cause all task locations
returned by the Overlord on an older version to be unknown.
Fix:
If the new API fails, fall back to single task status API which always returns a valid task location.
Follow up to #16217
Changes:
- Update `OverlordClient.getReportAsMap()` to return `TaskReport.ReportMap`
- Move the following classes to `org.apache.druid.indexer.report` in the `druid-processing` module
- `TaskReport`
- `KillTaskReport`
- `IngestionStatsAndErrorsTaskReport`
- `TaskContextReport`
- `TaskReportFileWriter`
- `SingleFileTaskReportFileWriter`
- `TaskReportSerdeTest`
- Remove `MsqOverlordResourceTestClient` as it had only one method
which is already present in `OverlordResourceTestClient` itself
The default value for druid.coordinator.kill.period (if unspecified) has changed from P1D to the value of druid.coordinator.period.indexingPeriod. Operators can choose to override druid.coordinator.kill.period and that will take precedence over the default behavior.
The default value for the coordinator dynamic config killTaskSlotRatio is updated from 1.0 to 0.1. This ensures that that kill tasks take up only 1 task slot right out-of-the-box instead of taking up all the task slots.
* Remove stale comment and inline canDutyRun()
* druid.coordinator.kill.period defaults to druid.coordinator.period.indexingPeriod if not set.
- Remove the default P1D value for druid.coordinator.kill.period. Instead default
druid.coordinator.kill.period to whatever value druid.coordinator.period.indexingPeriod is set
to if the former config isn't specified.
- If druid.coordinator.kill.period is set, the value will take precedence over
druid.coordinator.period.indexingPeriod
* Update server/src/test/java/org/apache/druid/server/coordinator/DruidCoordinatorConfigTest.java
* Fix checkstyle error
* Clarify comment
* Update server/src/main/java/org/apache/druid/server/coordinator/DruidCoordinatorConfig.java
* Put back canDutyRun()
* Default killTaskSlotsRatio to 0.1 instead of 1.0 (all slots)
* Fix typo DEFAULT_MAX_COMPACTION_TASK_SLOTS
* Remove unused test method.
* Update default value of killTaskSlotsRatio in docs and web-console default mock
* Move initDuty() after params and config setup.
* Update error message when topic messages.
Suggest resetting the supervisor when the topic changes instead of changing
the supervisor name which is actually making a new supervisor.
* Update server/src/main/java/org/apache/druid/metadata/IndexerSQLMetadataStorageCoordinator.java
Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
* Cleanup
* Remove log and include oldCommitMetadataFromDb
* Fix test
---------
Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
Changes:
- Handle exceptions in the API and map them to a `Response` object with the appropriate error code.
- Replace `AuthorizationUtils.filterAuthorizedResources()` with `DatasourceResourceFilter`.
The endpoint is annotated consistent with other usages.
- Update `DatasourceResourceFilter` to remove the lambda and update javadocs.
The usages information is self-evident with an IDE.
- Adjust the invalid interval exception message.
- Break up the large unit test `testGetUnusedSegmentsInDataSource()` into smaller unit tests
for each test case. Also, validate the error codes.
* Differentiate null and empty lists of segment IDs and versions.
Treat them differently so the. Segment IDs and versions can be An empty list,
in which case, the queries should just not return anything. Versions are optional, so
they can be null, which just indicates nothing, so the queries should return segments with
all possible versions. Segment IDs cannot be null as indicated by the absence of @Nullable
annotation.
* Update javadocs and add empty versions test to kill task.
* Add test for RetrieveSegmentsActions as well.
* Add parameterized segment IDs.
* Refactor into one common method.
* Refactor getConditionForIntervalsAndMatchMode - pass in only what's needed.
* Minor cleanup.
Bug:
In the `MarkOvershadowedSegmentsAsUnused` duty, the coordinator marks a segment
as unused if it is overshadowed by a segment currently being served by a historical or broker.
But it is possible to have segments that are eligible for a load rule but require zero replicas
to be loaded. (Such segments can be queried only using the MSQ engine).
If such a zero-replica segment overshadows any other segment, the overshadowed segment will
never be marked as unused and will continue to exist in the metadata store as a dangling segment.
Fix:
- In a coordinator run, keep track of segments that are eligible for a load rule but require zero replicas
- Allow the zero-replicas segments to overshadow old segments and hence mark the latter as unused
Other changes:
- Add simulation test to verify new behaviour. This test fails with the current code.
- Clean up javadocs
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.
---------
Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
* Update Calcite*Test to use junit5
* change the way temp dirs are handled
* add openrewrite workflow to safeguard upgrade
* replace junitparamrunner with standard junit5 parametered tests
* update a few rules to junit5 api
* lots of boring changes
* cleanup QueryLogHook
* cleanup
* fix compile error: ARRAYS_DATASOURCE
* fix test
* remove enclosed
* empty
+TEST:TDigestSketchSqlAggregatorTest,HllSketchSqlAggregatorTest,DoublesSketchSqlAggregatorTest,ThetaSketchSqlAggregatorTest,ArrayOfDoublesSketchSqlAggregatorTest,BloomFilterSqlAggregatorTest,BloomDimFilterSqlTest,CatalogIngestionTest,CatalogQueryTest,FixedBucketsHistogramQuantileSqlAggregatorTest,QuantileSqlAggregatorTest,MSQArraysTest,MSQDataSketchesTest,MSQExportTest,MSQFaultsTest,MSQInsertTest,MSQLoadedSegmentTests,MSQParseExceptionsTest,MSQReplaceTest,MSQSelectTest,InsertLockPreemptedFaultTest,MSQWarningsTest,SqlMSQStatementResourcePostTest,SqlStatementResourceTest,CalciteSelectJoinQueryMSQTest,CalciteSelectQueryMSQTest,CalciteUnionQueryMSQTest,MSQTestBase,VarianceSqlAggregatorTest,SleepSqlTest,SqlRowTransformerTest,DruidAvaticaHandlerTest,DruidStatementTest,BaseCalciteQueryTest,CalciteArraysQueryTest,CalciteCorrelatedQueryTest,CalciteExplainQueryTest,CalciteExportTest,CalciteIngestionDmlTest,CalciteInsertDmlTest,CalciteJoinQueryTest,CalciteLookupFunctionQueryTest,CalciteMultiValueStringQueryTest,CalciteNestedDataQueryTest,CalciteParameterQueryTest,CalciteQueryTest,CalciteReplaceDmlTest,CalciteScanSignatureTest,CalciteSelectQueryTest,CalciteSimpleQueryTest,CalciteSubqueryTest,CalciteSysQueryTest,CalciteTableAppendTest,CalciteTimeBoundaryQueryTest,CalciteUnionQueryTest,CalciteWindowQueryTest,DecoupledPlanningCalciteJoinQueryTest,DecoupledPlanningCalciteQueryTest,DecoupledPlanningCalciteUnionQueryTest,DrillWindowQueryTest,DruidPlannerResourceAnalyzeTest,IngestTableFunctionTest,QueryTestRunner,SqlTestFrameworkConfig,SqlAggregationModuleTest,ExpressionsTest,GreatestExpressionTest,IPv4AddressMatchExpressionTest,IPv4AddressParseExpressionTest,IPv4AddressStringifyExpressionTest,LeastExpressionTest,TimeFormatOperatorConversionTest,CombineAndSimplifyBoundsTest,FiltrationTest,SqlQueryTest,CalcitePlannerModuleTest,CalcitesTest,DruidCalciteSchemaModuleTest,DruidSchemaNoDataInitTest,InformationSchemaTest,NamedDruidSchemaTest,NamedLookupSchemaTest,NamedSystemSchemaTest,RootSchemaProviderTest,SystemSchemaTest,CalciteTestBase,SqlResourceTest
* use @Nested
* add rule to remove enclosed; upgrade surefire
* remove enclosed
* cleanup
* add comment about surefire exclude
* Add update() in TestDerbyConnectorRule
* use common function.
* fixup build.
* fixup indentations.
* Revert "fixup indentations."
This reverts commit a9d6b73e79.
* fixup indentataions.
* Remove Thread.sleep() by directly calling updateUsedStatusLastUpdated.
* another indentation slip.
* Move common segment initialization to setup().
* Fix for checkstyle.
* review comments: indentation fixes, type.
* Wrapper class for Segments table
* Add KillUnusedSegmentsTaskBuilder in test class
* Remove javadocs for self-explanatory methods.
Changes:
- Remove deprecated `DruidException` (old one) and `EntryExistsException`
- Use newly added comprehensive `DruidException` instead
- Update error message in `SqlMetadataStorageActionHandler` when max packet limit is violated.
- Factor out common code from several faults into `BaseFault`.
- Slightly update javadoc in `DruidException` to render it correctly
- Remove unused classes `SegmentToMove`, `SegmentToDrop`
- Move `ServletResourceUtils` from module `druid-processing` to `druid-server`
- Add utility method to build error Response from `DruidException`.
Changes
- Replace usages of `UnknownSegmentIdsException` with `DruidException`
- Add method `SqlMetadataQuery.retrieveSegments`
- Add new field `used` to `DataSegmentPlus`
* 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.
---------
Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
Changes:
- Use an actual SqlSegmentsMetadataManager instead of TestSqlSegmentsMetadataManager
- Simplify TestSegmentsMetadataManager
- Add a test for large interval segments.
Changes:
Improve `SqlSegmentsMetadataManager`
- Break the loop in `populateUsedStatusLastUpdated` before going to sleep if there are no more segments to update
- Add comments and clean up logs
Refactor `SqlSegmentsMetadataManagerTest`
- Merge `SqlSegmentsMetadataManagerEmptyTest` into this test
- Add method `testPollEmpty`
- Shave a few seconds off of the tests by reducing poll duration
- Simplify creation of test segments
- Some renames here and there
- Remove unused methods
- Move `TestDerbyConnector.allowLastUsedFlagToBeNull` to this class
Other minor changes
- Add javadoc to `NoneShardSpec`
- Use lambda in `SqlSegmentMetadataPublisher`
While converting Sequence<ScanResultValue> to Sequence<Frames>, when maxSubqueryBytes is enabled, we batch the results to prevent creating a single frame per ScanResultValue. Batching requires peeking into the actual value, and checking if the row signature of the scan result’s value matches that of the previous value.
Since we can do this indefinitely (in the worst case all of them have the same signature), we keep fetching them and accumulating them in a list (on the heap). We don’t really know how much to batch before we actually write the value as frames.
The PR modifies the batching logic to not accumulate the results in an intermediary list
BaseNodeRoleWatcher counts down cacheInitialized after a timeout, but also sets some flag that it was a timed-out initialization. and call nodeViewInitializationTimedOut (new method on listeners) instead of nodeViewInitialized. Then listeners can do what is most appropriate with this information.
* 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.
Updated the Direct Druid Client so as to make Connection Count Server Selector Strategy work more efficiently.
If creating connection to a node is slow, then that slowness wouldn't be accounted for if we count the open connections after sending the request. So we increment the counter and then send the request.
Currently, while reading results from realtime tasks, requests are sent on a segment level. This is slightly wasteful, as when contacting a data servers, it is possible to transfer results for all segments which it is hosting, instead of only one segment at a time.
One change this PR makes is to group the segments on the basis of servers. This reduces the number of queries to data servers made. Since we don't have access to the number of rows for realtime segments, the grouping is done with a fixed estimated number of rows for each realtime segment.
* 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
AmatyaAvadhanula
Kashif Faraz
Gian Merlino
Laksh Singla
Adithya Chakilam
Akshat Jain
Andreas Maechler
Adarsh Sanjeev
Rishabh Singh
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Abhishek Radhakrishnan
Arun Ramani
Rushikesh Bankar
Zoltan Haindrich
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