This change is to emit following metrics as part of GroupByStatsMonitor monitor,
mergeBuffer/used -> Number of merge buffers used.
mergeBuffer/acquisitionTimeNs -> Total time required to acquire merge buffer.
mergeBuffer/acquisition -> Number of queries that acquired a batch of merge buffers.
groupBy/spilledQueries -> Number of queries that spilled onto the disk.
groupBy/spilledBytes-> Spilled bytes on the disk.
groupBy/mergeDictionarySize -> Size of the merging dictionary.
All JDK 8 based CI checks have been removed.
Images used in Dockerfile(s) have been updated to Java 17 based images.
Documentation has been updated accordingly.
changes:
* fix issue when merging projections from multiple-incremental persists which was hoping that some 'dim conversion' buffers were not closed, but they already were (by the merging iterator). fix involves selectively persisting these conversion buffers to temp files in the segment write out directory and mapping them and tying them to the segment level closer so that they are available after the lifetime of the parent merger
* modify auto column serializers to use segment write out directory for temp files instead of java.io.tmpdir
* fix queryable index projection to not put the time-like column as a dimension, instead only adding it as __time
* use smoosh for temp files so can safely write any Serializer to a temp smoosh
* ScanQuery: equals/hashCode/toString
* DruidQuery: changes of Align ScanQuery column order with its desired signature #17457
* ScanQueryTest: add equalsverifer test
This patch re-uses timeBoundaryInspector for each cursor holder, which
enables caching of minDataTimestamp and maxDataTimestamp.
Fixes a performance regression introduced in #16533, where these fields
stopped being cached across cursors. Prior to that patch, they were
cached in the QueryableIndexStorageAdapter.
* introduces `UnionQuery`
* some changes to enable a `UnionQuery` to have multiple input datasources
* `UnionQuery` execution is driven by the `QueryLogic` - which could later enable to reduce some complexity in `ClientQuerySegmentWalker`
* to run the subqueries of `UnionQuery` there was a need to access the `conglomerate` from the `Runner`; to enable that some refactors were done
* renamed `UnionQueryRunner` to `UnionDataSourceQueryRunner`
* `QueryRunnerFactoryConglomerate` have taken the place of `QueryToolChestWarehouse` which shaves of some unnecessary things here and there
* small cleanup/refactors
Currently, durable storage and export both require configuring a temporary directory to be used using druid.export.storage.<connectorType>.tempLocalDir and druid.msq.intermediate.storage.tempDir.
Tasks on middle manager already have a configured temporary directory. This PR aims to reduce the configuration required by using the task directory as a default if it is not explicitly configured, thus reducing the number of configs that a user has to set.
Please note that preference would be given to the user configured, druid.*.storage.temp*Dir, on the tasks. If that is not configured, we then use the configured temporary directory.
Overlord and brokers also require storage connector configurations (for the durableStorageCleanerOverlordDuty and to fetch results of async queries respectively), but do not have a default temporary task directory. The configuration is still required for these services.
* Update errorprone, mockito, jacoco, checkerframework.
This patch updates various build and test dependencies, to see if they
cause unit tests on JDK 21 to behave more reliably.
* Update licenses, tests.
* Remove assertEquals.
* Repair two tests.
* Update some more tests.
Calling toString on newConfig is unnecessary, because it will be done
automatically by the logger. This saves some effort under log levels
higher than DEBUG.
changes:
* adds `SqlBenchmarkDatasets` which contains commonly used benchmark data generator schemas
* adds `SqlBaseBenchmark` which contains common benchmark segment generation methods for any benchmark using `SqlBenchmarkDatasets`
* adds `SqlBaseQueryBenchmark` and `SqlBasePlanBenchmark` for benchmarks measuring queries and planning respectively
* migrate all existing SQL jmh benchmarks to extend `SqlBaseQueryBenchmark`, quite dramatically reducing the boilerplate needed to create benchmarks, and allowing the use of multiple datasources within a benchmark file
* adjustments to data generator stuff to allow passing in an ObjectMapper so that the same mapper can be used for both benchmark queries and segment generation, avoiding the need to register stuff with both mappers for benchmarks
* adds `SqlProjectionsBenchmark` and `SqlComplexMetricsColumnsBenchmark` for measuring projections and measuring complex metric compression respectively
* GlueingPartitioningOperator: It continuously receives data, and outputs batches of partitioned RACs. It maintains a last-partitioning-boundary of the last-pushed-RAC, and attempts to glue it with the next RAC it receives, ensuring that partitions are handled correctly, even across multiple RACs. You can check GlueingPartitioningOperatorTest for some good examples of the "glueing" work.
* PartitionSortOperator: It sorts rows inside partitioned RACs, on the sort columns. The input RACs it receives are expected to be "complete / separate" partitions of data.
Follow up to #17214, adds implementations for substituteCombiningFactory so that more
datasketches aggs can match projections, along with some projections tests for datasketches.
* Logger: Log context of DruidExceptions.
There is often interesting and unique information available in the
"context" of a DruidException. This information is additive to both
the message and the cause, and was missed when we log. This patch adds
the DruidException context to log messages whenever stack traces are
enabled.
* Only log nonempty contexts.
The javadoc for SegmentDescriptor discusses differences between it and
SegmentId, but misses the most important difference: SegmentDescriptor
can have a narrower interval than the segment being referenced.
Refactors a few things.
- Adds SemanticUtils maps to columns.
- Add some addAll functions to reduce duplication, and for future reuse.
- Refactor VariantColumnAndIndexSupplier to only take a SmooshedFileMapper instead.
- Refactor LongColumnSerializerV2 to have separate functions for serializing a value and null.
changes:
adds ExpressionProcessing.allowVectorizeFallback() and ExpressionProcessingConfig.allowVectorizeFallback(), defaulting to false until few remaining bugs can be fixed (mostly complex types and some odd interactions with mixed types)
add cannotVectorizeUnlessFallback functions to make it easy to toggle the default of this config, and easy to know what to delete when we remove it in the future
This fixes a race where, if there is no output at all, setAllDoneIfPossible
could be called twice (once when the output partitions future resolves, and
once when the batcher finishes). If the calls happen in that order, it would
try to create nil output channels both times, resulting in a "Channel already set"
error.
Stages can be instructed to exit before they finish, especially when a
downstream stage includes a "LIMIT". This patch has improvements related
to early-exiting stages.
Bug fix:
- WorkerStageKernel: Don't allow fail() to set an exception if the stage is
already in a terminal state (FINISHED or FAILED). If fail() is called while
in a terminal state, log the exception, then throw it away. If it's a
cancellation exception, don't even log it. This fixes a bug where a stage
that exited early could transition to FINISHED and then to FAILED, causing
the overall query to fail.
Performance:
- DartWorkerManager previously sent stopWorker commands to workers
even when "interrupt" was false. Now it only sends those commands when
"interrupt" is true. The method javadoc already claimed this is what the
method did, but the implementation did not match the javadoc. This reduces
the number of RPCs by 1 per worker per query.
Quieter logging:
- In ReadableByteChunksFrameChannel, skip logging exception from setError if
the channel has been closed. Channels are closed when readers are done with
them, so at that point, we wouldn't be interested in the errors.
- In RunWorkOrder, skip calling notifyListener on failure of the main work,
in the case when stop() has already been called. The stop() method will
set its own error using CanceledFault. This enables callers to detect
when a stage was canceled vs. failed for some other reason.
- In WorkerStageKernel, skip logging cancellation errors in fail(). This is
made possible by the previous change in RunWorkOrder.
* adds support for `UNNEST` expressions
* introduces `LogicalUnnestRule` to transform a `Correlate` doing UNNEST into a `LogicalUnnest`
* `UnnestInputCleanupRule` could move the final unnested expr into the `LogicalUnnest` itself (usually its an `mv_to_array` expression)
* enhanced source unwrapping to utilize `FilteredDataSource` if it looks right
This patch adds a profile of MSQ named "Dart" that runs on Brokers and
Historicals, and which is compatible with the standard SQL query API.
For more high-level description, and notes on future work, refer to #17139.
This patch contains the following changes, grouped into packages.
Controller (org.apache.druid.msq.dart.controller):
The controller runs on Brokers. Main classes are,
- DartSqlResource, which serves /druid/v2/sql/dart/.
- DartSqlEngine and DartQueryMaker, the entry points from SQL that actually
run the MSQ controller code.
- DartControllerContext, which configures the MSQ controller.
- DartMessageRelays, which sets up relays (see "message relays" below) to read
messages from workers' DartControllerClients.
- DartTableInputSpecSlicer, which assigns work based on a TimelineServerView.
Worker (org.apache.druid.msq.dart.worker)
The worker runs on Historicals. Main classes are,
- DartWorkerResource, which supplies the regular MSQ WorkerResource, plus
Dart-specific APIs.
- DartWorkerRunner, which runs MSQ worker code.
- DartWorkerContext, which configures the MSQ worker.
- DartProcessingBuffersProvider, which provides processing buffers from
sliced-up merge buffers.
- DartDataSegmentProvider, which provides segments from the Historical's
local cache.
Message relays (org.apache.druid.messages):
To avoid the need for Historicals to contact Brokers during a query, which
would create opportunities for queries to get stuck, all connections are
opened from Broker to Historical. This is made possible by a message relay
system, where the relay server (worker) has an outbox of messages.
The relay client (controller) connects to the outbox and retrieves messages.
Code for this system lives in the "server" package to keep it separate from
the MSQ extension and make it easier to maintain. The worker-to-controller
ControllerClient is implemented using message relays.
Other changes:
- Controller: Added the method "hasWorker". Used by the ControllerMessageListener
to notify the appropriate controllers when a worker fails.
- WorkerResource: No longer tries to respond more than once in the
"httpGetChannelData" API. This comes up when a response due to resolved future
is ready at about the same time as a timeout occurs.
- MSQTaskQueryMaker: Refactor to separate out some useful functions for reuse
in DartQueryMaker.
- SqlEngine: Add "queryContext" to "resultTypeForSelect" and "resultTypeForInsert".
This allows the DartSqlEngine to modify result format based on whether a "fullReport"
context parameter is set.
- LimitedOutputStream: New utility class. Used when in "fullReport" mode.
- TimelineServerView: Add getDruidServerMetadata as a performance optimization.
- CliHistorical: Add SegmentWrangler, so it can query inline data, lookups, etc.
- ServiceLocation: Add "fromUri" method, relocating some code from ServiceClientImpl.
- FixedServiceLocator: New locator for a fixed set of service locations. Useful for
URI locations.
Fixes a mistake introduced in #16533 which can result in CursorGranularizer incorrectly trying to get values from a selector after calling cursor.advance because of a missing check for cursor.isDone
changes:
* filter index processing is now automatically ordered based on estimated 'cost', which is approximated based on how many expected bitmap operations are required to construct the bitmap used for the 'offset'
* cursorAutoArrangeFilters context flag now defaults to true, but can be set to false to disable cost based filter index sorting
Extracting a few miscellaneous non-functional changes from the batch supervisor branch:
- Replace anonymous inner classes with lambda expressions in the SQL supervisor manager layer
- Add explicit @Nullable annotations in DynamicConfigProviderUtils to make IDE happy
- Small variable renames (copy-paste error perhaps) and fix typos
- Add table name for this exception message: Delete the supervisor from the table[%s] in the database...
- Prefer CollectionUtils.isEmptyOrNull() over list == null || list.size() > 0. We can change the Precondition checks to throwing DruidException separately for a batch of APIs at a time.
* update docs for kafka lookup extension to specify correct extension ordering
* fix first line
* test with extension dependencies
* save work on dependency management
* working dependency graph
* working pull
* fix style
* fix style
* remove name
* load extension dependencies recursively
* generate depenencies on classloader creation
* add check for circular dependencies
* fix style
* revert style changes
* remove mutable class loader
* clean up class heirarchy
* extensions loader test working
* add unit tests
* pr comments
* fix unit tests
changes:
* add `ApplyFunction` support to vectorization fallback, allowing many of the remaining expressions to be vectorized
* add `CastToObjectVectorProcessor` so that vector engine can correctly cast any type
* add support for array and complex vector constants
* reduce number of cases which can block vectorization in expression planner to be unknown inputs (such as unknown multi-valuedness)
* fix array constructor expression, apply map expression to make actual evaluated type match the output type inference
* fix bug in array_contains where something like array_contains([null], 'hello') would return true if the array was a numeric array since the non-null string value would cast to a null numeric
* fix isNull/isNotNull to correctly handle any type of input argument
Text-based input formats like csv and tsv currently parse inputs only as strings, following the RFC4180Parser spec).
To workaround this, the web-console and other tools need to further inspect the sample data returned to sample data returned by the Druid sampler API to parse them as numbers.
This patch introduces a new optional config, tryParseNumbers, for the csv and tsv input formats. If enabled, any numbers present in the input will be parsed in the following manner -- long data type for integer types and double for floating-point numbers, and if parsing fails for whatever reason, the input is treated as a string. By default, this configuration is set to false, so numeric strings will be treated as strings.
* Use the whole frame when writing rows.
This patch makes the following adjustments to enable writing larger
single rows to frames:
1) RowBasedFrameWriter: Max out allocation size on the final doubling.
i.e., if the final allocation "naturally" would be 1 MiB but the
max frame size is 900 KiB, use 900 KiB rather than failing the 1 MiB
allocation.
2) AppendableMemory: In reserveAdditional, release the last block if it
is empty. This eliminates waste when a frame writer uses a
successive-doubling approach to find the right allocation size.
3) ArenaMemoryAllocator: Reclaim memory from the last allocation when
the last allocation is closed.
Prior to these changes, a single row could be much smaller than the
frame size and still fail to be added to the frame.
* Style.
* Fix test.
Rishabh Singh
Adarsh Sanjeev
Akshat Jain
Clint Wylie
Zoltan Haindrich
Virushade
Vivek Dhiman
Gian Merlino
Laksh Singla
Hardik Bajaj
Shivam Garg
Karan Kumar
Cece Mei
Abhishek Radhakrishnan
George Shiqi Wu
Adithya Chakilam
Sree Charan Manamala
Abhishek Agarwal