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>
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Co-authored-by: Benedict Jin <asdf2014@apache.org>
* remove extractionFn from equality, null, and range filters
changes:
* EqualityFilter, NullFilter, and RangeFilter no longer support extractionFn
* SQL planner will use ExpressionFilter in the small number of cases where an extractionFn would have been used if sqlUseBoundsAndSelectors is set to false instead of equality/null/range filters
* fix bugs and add tests with serde, equals, and cache key for null, equality, and range filters
* test coverage fixes bugs
* adjust
* adjust again
* so persnickety
* Add EARLIEST aggregator merge strategy.
- More unit tests.
- Include the aggregators analysis type by default in tests.
* Docs.
* Some comments and a test
* Collapse into individual code blocks.
changes:
* new filters that preserve match value typing to better handle filtering different column types
* sql planner uses new filters by default in sql compatible null handling mode
* remove isFilterable from column capabilities
* proper handling of array filtering, add array processor to column processors
* javadoc for sql test filter functions
* range filter support for arrays, tons more tests, fixes
* add dimension selector tests for mixed type roots
* support json equality
* rename semantic index maker thingys to mostly have plural names since they typically make many indexes, e.g. StringValueSetIndex -> StringValueSetIndexes
* add cooler equality index maker, ValueIndexes
* fix missing string utf8 index supplier
* expression array comparator stuff
This adds a new contrib extension: druid-iceberg-extensions which can be used to ingest data stored in Apache Iceberg format. It adds a new input source of type iceberg that connects to a catalog and retrieves the data files associated with an iceberg table and provides these data file paths to either an S3 or HDFS input source depending on the warehouse location.
Two important dependencies associated with Apache Iceberg tables are:
Catalog : This extension supports reading from either a Hive Metastore catalog or a Local file-based catalog. Support for AWS Glue is not available yet.
Warehouse : This extension supports reading data files from either HDFS or S3. Adapters for other cloud object locations should be easy to add by extending the AbstractInputSourceAdapter.
* better-schema-discovery-copy
* Update web-console/src/views/load-data-view/load-data-view.tsx
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update web-console/src/views/load-data-view/load-data-view.tsx
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* auto-format
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Co-authored-by: Charles Smith <techdocsmith@gmail.com>
Tests to verify the following behaviour have been added:
- Segments from more populous servers are more likely to be picked irrespective of
sample size.
- Segments from all servers are equally likely to be picked if all servers have equivalent
number of segments.
This PR catches the console up to all the backend changes for Druid 27
Specifically:
Add page information to SqlStatementResource API #14512
Allow empty tiered replicants map for load rules #14432
Adding Interactive API's for MSQ engine #14416
Add replication factor column to sys table #14403
Account for data format and compression in MSQ auto taskAssignment #14307
Errors take 3 #14004
* Change default handoffConditionTimeout to 15 minutes.
Most of the time, when handoff is taking this long, it's because something
is preventing Historicals from loading new data. In this case, we have
two choices:
1) Stop making progress on ingestion, wait for Historicals to load stuff,
and keep the waiting-for-handoff segments available on realtime tasks.
(handoffConditionTimeout = 0, the current default)
2) Continue making progress on ingestion, by exiting the realtime tasks
that were waiting for handoff. Once the Historicals get their act
together, the segments will be loaded, as they are still there on
deep storage. They will just not be continuously available.
(handoffConditionTimeout > 0)
I believe most users would prefer [2], because [1] risks ingestion falling
behind the stream, which causes many other problems. It can cause data loss
if the stream ages-out data before we have a chance to ingest it.
Due to the way tuningConfigs are serialized -- defaults are baked into the
serialized form that is written to the database -- this default change will
not change anyone's existing supervisors. It will take effect for newly
created supervisors.
* Fix tests.
* Update docs/development/extensions-core/kafka-supervisor-reference.md
Co-authored-by: Katya Macedo <38017980+ektravel@users.noreply.github.com>
* Update docs/development/extensions-core/kinesis-ingestion.md
Co-authored-by: Katya Macedo <38017980+ektravel@users.noreply.github.com>
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Co-authored-by: Katya Macedo <38017980+ektravel@users.noreply.github.com>
MSQ engine returns correct error codes for invalid user inputs in the query context. Also, using DruidExceptions for MSQ related errors happening in the Broker with improved error messages.
The errorCode of this fault when serialized over the wire was being
set to the name of the class `InsertTimeOutOfBoundsFault` instead of
the CODE `InsertTimeOutOfBounds`. All other faults' errorCodes are
serialized as the respective Fault's code, so making consistent here
as well.
* Add aggregatorMergeStrategy property to SegmentMetadaQuery.
- Adds a new property aggregatorMergeStrategy to segmentMetadata query.
aggregatorMergeStrategy currently supports three types of merge strategies -
the legacy strict and lenient strategies, and the new latest strategy.
- The latest strategy considers the latest aggregator from the latest segment
by time order when there's a conflict when merging aggregators from different
segments.
- Deprecate lenientAggregatorMerge property; The API validates that both the new
and old properties are not set, and returns an exception.
- When merging segments as part of segmentMetadata query, the segments have a more
elaborate id -- <datasource>_<interval>_merged_<partition_number> format, similar to
the name format that segments usually contain. Previously it was simply "merged".
- Adjust unit tests to test the latest strategy, to assert the returned complete
SegmentAnalysis object instead of just the aggregators for completeness.
* Don't explicitly set strict strategy in tests
* Apply suggestions from code review
Co-authored-by: Katya Macedo <38017980+ektravel@users.noreply.github.com>
* Update docs/querying/segmentmetadataquery.md
* Apply suggestions from code review
Co-authored-by: Katya Macedo <38017980+ektravel@users.noreply.github.com>
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Co-authored-by: Katya Macedo <38017980+ektravel@users.noreply.github.com>
* More efficient generation of ImmutableWorkerHolder from WorkerHolder.
Taking the work done in #12096 a little further:
1) Applying a similar optimization to WorkerHolder (HttpRemoteTaskRunner).
The original patch only helped with the ZkWorker (RemoteTaskRunner).
2) Improve the ZkWorker version somewhat by avoiding multiple iterations
through the task announcements map.
* Pick better names and use better logic.
* Only runnable tasks.
* Fix test.
* Fix testBlacklistZKWorkers50Percent.
Uses a custom continusou jfr profiler.
Modifies the github actions for tests to do profiling only in the case
of jdk17, as the profiler requires jdk17+ to use the JFR streaming API
plus a few other language features in the code.
Continuous Profiling service is provided to the Apache Druid project
free of charge by Imply and any committer can request free access to
the UI.
* Fix a resource leak with Window processing
Additionally, in order to find the leak, there were
adjustments to the StupidPool to track leaks a bit better.
It would appear that the pool objects get GC'd during testing
for some reason which was causing some incorrect identification
of leaks from objects that had been returned but were GC'd along
with the pool.
* Suppress unused warning
* Fixing an issue in sequential merge where workers without any partial key statistics would get stuck because controller did not change the worker state.
* Removing empty check
* Adding IT for MSQ sequential bug fix.
* Add ZooKeeper connection state alerts and metrics.
- New metric "zk/connected" is an indicator showing 1 when connected,
0 when disconnected.
- New metric "zk/disconnected/time" measures time spent disconnected.
- New alert when Curator connection state enters LOST or SUSPENDED.
* Use right GuardedBy.
* Test fixes, coverage.
* Adjustment.
* Fix tests.
* Fix ITs.
* Improved injection.
* Adjust metric name, add tests.
Two changes:
1) Intern DecompressingByteBufferObjectStrategy. Saves ~32 bytes per column.
2) Split GenericIndexed into GenericIndexed.V1 and GenericIndexed.V2. The
major benefit here is isolating out the ByteBuffers that are only needed
for V2. This saves ~80 bytes for V1 (one buffer instead of two).
There are two ways of estimating heap footprint of an Aggregator:
1) AggregatorFactory#guessAggregatorHeapFootprint
2) AggregatorFactory#factorizeWithSize + Aggregator#aggregateWithSize
When the second path is used, the default implementation of factorizeWithSize
is now updated to delegate to guessAggregatorHeapFootprint, making these equivalent.
The old logic used getMaxIntermediateSize, which is less accurate.
Also fixes a bug where, when using the second path, calling factorizeWithSize
on PassthroughAggregatorFactory would fail because getMaxIntermediateSize was
not implemented. (There is no buffer aggregator, so there would be no need.)
Cache is disabled for GroupByStrategyV2 on broker since the pr #3820 [groupBy v2: Results not fully merged when caching is enabled on the broker]. But we can enable the result-level cache on broker for GroupByStrategyV2 and keep the segment-level cache disabled.
AmatyaAvadhanula
Jason Koch
Abhishek Agarwal
Vadim Ogievetsky
Karan Kumar
Clint Wylie
Gian Merlino
Jaehui Lee
Abhishek Radhakrishnan
Kashif Faraz
Maytas Monsereenusorn
Atul Mohan
Benedict Jin
YongGang
Laksh Singla
zachjsh
imply-cheddar
Sam Rash
Katya Macedo
cristian-popa
hqx871
Nhi Pham