This change allows the selection of a specific broker service (or broker tier) by the Router.
The newly added ManualTieredBrokerSelectorStrategy works as follows:
Check for the parameter brokerService in the query context. If this is a valid broker service, use it.
Check if the field defaultManualBrokerService has been set in the strategy. If this is a valid broker service, use it.
Move on to the next strategy
* Add a new metric query/segments/count that is not emitted by default
* docs
* test the default implementation of the metric
* fix spelling error in docs
* document the fact that query retries will result in additional metric emissions
* update using recommended text from @jihoonson
This PR refactors the code related to segment loading specifically SegmentLoader and SegmentLoaderLocalCacheManager. SegmentLoader is marked UnstableAPI which means, it can be extended outside core druid in custom extensions. Here is a summary of changes
SegmentLoader returns an instance of ReferenceCountingSegment instead of Segment. Earlier, SegmentManager was wrapping Segment objects inside ReferenceCountingSegment. That is now moved to SegmentLoader. With this, a custom implementation can track the references of segments. It also allows them to create custom ReferenceCountingSegment implementations. For this reason, the constructor visibility in ReferenceCountingSegment is changed from private to protected.
SegmentCacheManager has two additional methods called - reserve(DataSegment) and release(DataSegment). These methods let the caller reserve or release space without calling SegmentLoader#getSegment. We already had similar methods in StorageLocation and now they are available in SegmentCacheManager too which wraps multiple locations.
Refactoring to simplify the code in SegmentCacheManager wherever possible. There is no change in the functionality.
This PR splits current SegmentLoader into SegmentLoader and SegmentCacheManager.
SegmentLoader - this class is responsible for building the segment object but does not expose any methods for downloading, cache space management, etc. Default implementation delegates the download operations to SegmentCacheManager and only contains the logic for building segments once downloaded. . This class will be used in SegmentManager to construct Segment objects.
SegmentCacheManager - this class manages the segment cache on the local disk. It fetches the segment files to the local disk, can clean up the cache, and in the future, support reserve and release on cache space. [See https://github.com/Make SegmentLoader extensible and customizable #11398]. This class will be used in ingestion tasks such as compaction, re-indexing where segment files need to be downloaded locally.
* compaction/status API retains status for datasources that no longer existed causing in-memory used to grow unbounded
* compaction/status API retains status for datasources that no longer existed causing in-memory used to grow unbounded
* compaction/status API retains status for datasources that no longer existed causing in-memory used to grow unbounded
* fix test
* fix test
* Bound memory in native batch ingest create segments
* Move BatchAppenderatorDriverTest to indexing service... note that we had to put the sink back in sinks in mergeandpush since the persistent data needs to be dropped and the sink is required for that
* Remove sinks from memory and clean up intermediate persists dirs manually after sink has been merged
* Changed name from RealtimeAppenderator to StreamAppenderator
* Style
* Incorporating tests from StreamAppenderatorTest
* Keep totalRows and cleanup code
* Added missing dep
* Fix unit test
* Checkstyle
* allowIncrementalPersists should always be true for batch
* Added sinks metadata
* clear sinks metadata when closing appenderator
* Style + minor edits to log msgs
* Update sinks metadata & totalRows when dropping a sink (segment)
* Remove max
* Intelli-j check
* Keep a count of hydrants persisted by sink for sanity check before merge
* Move out sanity
* Add previous hydrant count to sink metadata
* Remove redundant field from SinkMetadata
* Remove unneeded functions
* Cleanup unused code
* Removed unused code
* Remove unused field
* Exclude it from jacoco because it is very hard to get branch coverage
* Remove segment announcement and some other minor cleanup
* Add fallback flag
* Minor code cleanup
* Checkstyle
* Code review changes
* Update batchMemoryMappedIndex name
* Code review comments
* Exclude class from coverage, will include again when packaging gets fixed
* Moved test classes to server module
* More BatchAppenderator cleanup
* Fix bug in wrong counting of totalHydrants plus minor cleanup in add
* Removed left over comments
* Have BatchAppenderator follow the Appenderator contract for push & getSegments
* Fix LGTM violations
* Review comments
* Add stats after push is done
* Code review comments (cleanup, remove rest of synchronization constructs in batch appenderator, reneame feature flag,
remove real time flag stuff from stream appenderator, etc.)
* Update javadocs
* Add thread safety notice to BatchAppenderator
* Further cleanup config
* More config cleanup
* support using mariadb connector with mysql extensions
* cleanup and more tests
* fix test
* javadocs, more tests, etc
* style and more test
* more test more better
* missing pom
* more pom
* add single input string expression dimension vector selector and better expression planning
* better
* fixes
* oops
* rework how vector processor factories choose string processors, fix to be less aggressive about vectorizing
* oops
* javadocs, renaming
* more javadocs
* benchmarks
* use string expression vector processor with vector size 1 instead of expr.eval
* better logging
* javadocs, surprising number of the the
* more
* simplify
This PR refactors the code for QueryRunnerFactory#mergeRunners to accept a new interface called QueryProcessingPool instead of ExecutorService for concurrent execution of query runners. This interface will let custom extensions inject their own implementation for deciding which query-runner to prioritize first. The default implementation is the same as today that takes the priority of query into account. QueryProcessingPool can also be used as a regular executor service. It has a dedicated method for accepting query execution work so implementations can differentiate between regular async tasks and query execution tasks. This dedicated method also passes the QueryRunner object as part of the task information. This hook will let custom extensions carry any state from QuerySegmentWalker to QueryProcessingPool#mergeRunners which is not possible currently.
* upgrade error-prone to 2.7.1 and support checks with Java 11+
- upgrade error-prone to 2.7.1
- support running error-prone with Java 11 and above using -Xplugin
instead of custom compiler
- add compiler arguments to ignore warnings/errors in Java 15/16
- introduce strictCompile property to enable strict profiles since we
now need multiple strict profiles for Java 8
- properly exclude all generated source files from error-prone
- fix druid-processing overriding annotation processors from parent pom
- fix druid-core disabling most non-default checks
- align plugin and annotation errorprone versions
- fix / suppress additional issues found by error-prone:
* fix bug in SeekableStreamSupervisor initializing ArrayList size with
the taskGroupdId
* fix missing @Override annotations
- remove outdated compiler plugin in benchmarks
- remove deleted ParameterPackage error-prone rule
- re-enable checks on benchmark module as well
* fix IntelliJ inspections
* disable LongFloatConversion due to bug in error-prone with JDK 8
* add comment about InsecureCrypto
* enrich expression cache key information to support expressions which depend on external state such as lookups
* cache rules everything around me
* low carb
* rename
* Avoid mapping hydrants in create segments phase for native ingestion
* Drop queriable indices after a given sink is fully merged
* Do not drop memory mappings for realtime ingestion
* Style fixes
* Renamed to match use case better
* Rollback memoization code and use the real time flag instead
* Null ptr fix in FireHydrant toString plus adjustments to memory pressure tracking calculations
* Style
* Log some count stats
* Make sure sinks size is obtained at the right time
* BatchAppenderator unit test
* Fix comment typos
* Renamed methods to make them more readable
* Move persisted metadata from FireHydrant class to AppenderatorImpl. Removed superfluous differences and fix comment typo. Removed custom comparator
* Missing dependency
* Make persisted hydrant metadata map concurrent and better reflect the fact that keys are Java references. Maintain persisted metadata when dropping/closing segments.
* Replaced concurrent variables with normal ones
* Added batchMemoryMappedIndex "fallback" flag with default "false". Set this to "true" make code fallback to previous code path.
* Style fix.
* Added note to new setting in doc, using Iterables.size (and removing a dependency), and fixing a typo in a comment.
* Forgot to commit this edited documentation message
* lay the groundwork for throttling replicant loads per RunRules execution
* Add dynamic coordinator config to control new replicant threshold.
* remove redundant line
* add some unit tests
* fix checkstyle error
* add documentation for new dynamic config
* improve docs and logs
* Alter how null is handled for new config. If null, manually set as default
* ARRAY_AGG sql aggregator function
* add javadoc
* spelling
* review stuff, return null instead of empty when nil input
* review stuff
* Update sql.md
* use type inference for finalize, refactor some things
* Add feature to automatically remove rules based on retention period
* Add feature to automatically remove rules based on retention period
* address comments
* DataSchema: Improve duplicate-column error message.
Now, when duplicate columns are specified, the error message will include
information about where those duplicate columns were seen. Also, if there
are multiple duplicate columns, all will be listed in the error message
instead of just the first one encountered.
* Fix style for checkstyle.
* Further improve error message.
* Add ability to wait for segment availability for batch jobs
* IT updates
* fix queries in legacy hadoop IT
* Fix broken indexing integration tests
* address an lgtm flag
* spell checker still flagging for hadoop doc. adding under that file header too
* fix compaction IT
* Updates to wait for availability method
* improve unit testing for patch
* fix bad indentation
* refactor waitForSegmentAvailability
* Fixes based off of review comments
* cleanup to get compile after merging with master
* fix failing test after previous logic update
* add back code that must have gotten deleted during conflict resolution
* update some logging code
* fixes to get compilation working after merge with master
* reset interrupt flag in catch block after code review pointed it out
* small changes following self-review
* fixup some issues brought on by merge with master
* small changes after review
* cleanup a little bit after merge with master
* Fix potential resource leak in AbstractBatchIndexTask
* syntax fix
* Add a Compcation TuningConfig type
* add docs stipulating the lack of support by Compaction tasks for the new config
* Fixup compilation errors after merge with master
* Remove erreneous newline
* JavaScript script engine support was removed in JDK 15: skip those tests for JDKs without it
* Fix flaky HTTP client tests with Java 15
* Switch from CMS to G1GC in integration tests, since CMS is no longer available in JDK 15
* Add paramter to loadstatus API to compute underdeplication against cluster view
This change adds a query parameter `computeUsingClusterView` to loadstatus apis
that if specified have the coordinator compute undereplication for segments based
on the number of services available within cluster that the segment can be replicated
on, instead of the configured replication count configured in load rule. A default
load rule is created in all clusters that specified that all segments should be
replicated 2 times. As replicas are forced to be on separate nodes in the cluster,
this causes the loadstatus api to report that there are under-replicated segments
when there is only 1 data server in the cluster. In this case, calling loadstatus
api without this new query parameter will always result in a response indicating
under-replication of segments
* * fix exception mapper
* * Address review comments
* * update external API docs
* Apply suggestions from code review
Co-authored-by: Charles Smith <38529548+techdocsmith@users.noreply.github.com>
* * update more external docs
* * update javadoc
* Apply suggestions from code review
Co-authored-by: Charles Smith <38529548+techdocsmith@users.noreply.github.com>
Co-authored-by: Charles Smith <38529548+techdocsmith@users.noreply.github.com>
* request logs through kafka emitter
* travis fixes
* review comments
* kafka emitter unit test
* new line
* travis checks
* checkstyle fix
* count request lost when request topic is null
* DruidInputSource: Fix issues in column projection, timestamp handling.
DruidInputSource, DruidSegmentReader changes:
1) Remove "dimensions" and "metrics". They are not necessary, because we
can compute which columns we need to read based on what is going to
be used by the timestamp, transform, dimensions, and metrics.
2) Start using ColumnsFilter (see below) to decide which columns we need
to read.
3) Actually respect the "timestampSpec". Previously, it was ignored, and
the timestamp of the returned InputRows was set to the `__time` column
of the input datasource.
(1) and (2) together fix a bug in which the DruidInputSource would not
properly read columns that are used as inputs to a transformSpec.
(3) fixes a bug where the timestampSpec would be ignored if you attempted
to set the column to something other than `__time`.
(1) and (3) are breaking changes.
Web console changes:
1) Remove "Dimensions" and "Metrics" from the Druid input source.
2) Set timestampSpec to `{"column": "__time", "format": "millis"}` for
compatibility with the new behavior.
Other changes:
1) Add ColumnsFilter, a new class that allows input readers to determine
which columns they need to read. Currently, it's only used by the
DruidInputSource, but it could be used by other columnar input sources
in the future.
2) Add a ColumnsFilter to InputRowSchema.
3) Remove the metric names from InputRowSchema (they were unused).
4) Add InputRowSchemas.fromDataSchema method that computes the proper
ColumnsFilter for given timestamp, dimensions, transform, and metrics.
5) Add "getRequiredColumns" method to TransformSpec to support the above.
* Various fixups.
* Uncomment incorrectly commented lines.
* Move TransformSpecTest to the proper module.
* Add druid.indexer.task.ignoreTimestampSpecForDruidInputSource setting.
* Fix.
* Fix build.
* Checkstyle.
* Misc fixes.
* Fix test.
* Move config.
* Fix imports.
* Fixup.
* Fix ShuffleResourceTest.
* Add import.
* Smarter exclusions.
* Fixes based on tests.
Also, add TIME_COLUMN constant in the web console.
* Adjustments for tests.
* Reorder test data.
* Update docs.
* Update docs to say Druid 0.22.0 instead of 0.21.0.
* Fix test.
* Fix ITAutoCompactionTest.
* Changes from review & from merging.
* Fix Auto-compaction with segment granularity retrieve incomplete segments from timeline when interval overlap
* Fix Auto-compaction with segment granularity retrieve incomplete segments from timeline when interval overlap
* Fix Auto-compaction with segment granularity retrieve incomplete segments from timeline when interval overlap
* Fix Auto-compaction with segment granularity retrieve incomplete segments from timeline when interval overlap
* address comments
* Auto-compaction with segment granularity should skip segments that already have the configured segmentGranularity
* Auto-compaction with segment granularity should skip segments that already have the configured segmentGranularity
* Auto-compaction with segment granularity should skip segments that already have the configured segmentGranularity
* address comments
* address comments
* address comments
* address comments
* address comments
* Fix regression introduced by #11008
* Add back and tweak the check to not inspect resources for authorization when AllowAllAuthorizer is configured.
Add a unit test to validate that the change doesn't introduce new behavior.
Size HashMap and HashSet appropriately. Perf analysis of the queries
revealed that over 25% of the query time was spent in resizing HashMap and HashSet
collections. Also, prevent the need to examine and authorize all resources when
AllowAllAuthorizer is the configured authorizer.
* logs more info when delete segments && add deleteSegments-related UT
* revert msic.xml
* code review
* use log.debugSegments
Co-authored-by: yuezhang <yuezhang@freewheel.tv>
* Allow only HTTP and HTTPS protocols for the HTTP inputSource
* rename
* Update core/src/main/java/org/apache/druid/data/input/impl/HttpInputSource.java
Co-authored-by: Abhishek Agarwal <1477457+abhishekagarwal87@users.noreply.github.com>
* fix http firehose and update doc
* HDFS inputSource
* add configs for allowed protocols
* fix checkstyle and doc
* more checkstyle
* remove stale doc
* remove more doc
* Apply doc suggestions from code review
Co-authored-by: Charles Smith <38529548+techdocsmith@users.noreply.github.com>
* update hdfs address in docs
* fix test
Co-authored-by: Abhishek Agarwal <1477457+abhishekagarwal87@users.noreply.github.com>
Co-authored-by: Charles Smith <38529548+techdocsmith@users.noreply.github.com>
* druid task auto scale based on kafka lag
* fix kafkaSupervisorIOConfig and KinesisSupervisorIOConfig
* druid task auto scale based on kafka lag
* fix kafkaSupervisorIOConfig and KinesisSupervisorIOConfig
* test dynamic auto scale done
* auto scale tasks tested on prd cluster
* auto scale tasks tested on prd cluster
* modify code style to solve 29055.10 29055.9 29055.17 29055.18 29055.19 29055.20
* rename test fiel function
* change codes and add docs based on capistrant reviewed
* midify test docs
* modify docs
* modify docs
* modify docs
* merge from master
* Extract the autoScale logic out of SeekableStreamSupervisor to minimize putting more stuff inside there && Make autoscaling algorithm configurable and scalable.
* fix ci failed
* revert msic.xml
* add uts to test autoscaler create && scale out/in and kafka ingest with scale enable
* add more uts
* fix inner class check
* add IT for kafka ingestion with autoscaler
* add new IT in groups=kafka-index named testKafkaIndexDataWithWithAutoscaler
* review change
* code review
* remove unused imports
* fix NLP
* fix docs and UTs
* revert misc.xml
* use jackson to build autoScaleConfig with default values
* add uts
* use jackson to init AutoScalerConfig in IOConfig instead of Map<>
* autoscalerConfig interface and provide a defaultAutoScalerConfig
* modify uts
* modify docs
* fix checkstyle
* revert misc.xml
* modify uts
* reviewed code change
* reviewed code change
* code reviewed
* code review
* log changed
* do StringUtils.encodeForFormat when create allocationExec
* code review && limit taskCountMax to partitionNumbers
* modify docs
* code review
Co-authored-by: yuezhang <yuezhang@freewheel.tv>
* where filter left first draft
* Revert changes in calcite test
* Refactor a bit
* Fixing the Tests
* Changes
* Adding tests
* Add tests for correlated queries
* Add comment
* Fix typos
* add query granularity to compaction task
* fix checkstyle
* fix checkstyle
* fix test
* fix test
* add tests
* fix test
* fix test
* cleanup
* rename class
* fix test
* fix test
* add test
* fix test
* Granularity: Introduce primitive-typed bucketStart, increment methods.
Saves creation of unnecessary DateTime objects in timestamp_floor and
timestamp_ceil expressions.
* Fix style.
* Amp up the test coverage.
* Support segmentGranularity for auto-compaction
* Support segmentGranularity for auto-compaction
* Support segmentGranularity for auto-compaction
* Support segmentGranularity for auto-compaction
* resolve conflict
* Support segmentGranularity for auto-compaction
* Support segmentGranularity for auto-compaction
* fix tests
* fix more tests
* fix checkstyle
* add unit tests
* fix checkstyle
* fix checkstyle
* fix checkstyle
* add unit tests
* add integration tests
* fix checkstyle
* fix checkstyle
* fix failing tests
* address comments
* address comments
* fix tests
* fix tests
* fix test
* fix test
* fix test
* fix test
* fix test
* fix test
* fix test
* fix test
* before i leaped i should've seen, the view from halfway down
* fixes
* fixes, more test
* rename
* fix style
* further refactoring
* review stuffs
* rename
* more javadoc and comments
* add offsetFetchPeriod to kinesis ingestion doc
* Remove jackson dependencies from extensions
* Use fixed delay for lag collection
* Metrics reset after finishing processing
* comments
* Broaden the list of exceptions to retry for
* Unit tests
* Add more tests
* Refactoring
* re-order metrics
* Doc suggestions
Co-authored-by: Charles Smith <38529548+techdocsmith@users.noreply.github.com>
* Add tests
Co-authored-by: Charles Smith <38529548+techdocsmith@users.noreply.github.com>
* Prevent interval materialization for UniformGranularitySpec inside the overlord
* Change API of bucketIntervals in GranularitySpec to return an Iterable<Interval>
* Javadoc update, respect inputIntervals contract
* Eliminate dependency on wrappedspec (i.e. ArbitraryGranularity) in UniformGranularitySpec
* Added one boundary condition test to UniformGranularityTest and fixed Travis forbidden method errors in IntervalsByGranularity
* Fix Travis style & other checks
* Refactor TreeSet to facilitate re-use in UniformGranularitySpec
* Make sure intervals are unique when there is no segment granularity
* Style/bugspot fixes...
* More travis checks
* Add condensedIntervals method to GranularitySpec and pass it as needed to the lock method
* Style & PR feedback
* Fixed failing test
* Fixed bug in IntervalsByGranularity iterator that it would return repeated elements (see added unit tests that were broken before this change)
* Refactor so that we can get the condensed buckets without materializing the intervals
* Get rid of GranularitySpec::condensedInputIntervals ... not needed
* Travis failures fixes
* Travis checkstyle fix
* Edited/added javadoc comments and a method name (code review feedback)
* Fixed jacoco coverage by moving class and adding more coverage
* Avoid materializing the condensed intervals when locking
* Deal with overlapping intervals
* Remove code and use library code instead
* Refactor intervals by granularity using the FluentIterable, add sanity checks
* Change !hasNext() to inputIntervals().isEmpty()
* Remove redundant lambda
* Use materialized intervals here since this is outside the overlord (for performance)
* Name refactor to reflect the fact that bucket intervals are sorted.
* Style fixes
* Removed redundant method and have condensedIntervalIterator throw IAE when element is null for consistency with other methods in this class (as well that null interval when condensing does not make sense)
* Remove forbidden api
* Move helper class inside common base class to reduce public space pollution
* Fix byte calculation for maxBytesInMemory to take into account of Sink/Hydrant Object overhead
* Fix byte calculation for maxBytesInMemory to take into account of Sink/Hydrant Object overhead
* Fix byte calculation for maxBytesInMemory to take into account of Sink/Hydrant Object overhead
* Fix byte calculation for maxBytesInMemory to take into account of Sink/Hydrant Object overhead
* fix checkstyle
* Fix byte calculation for maxBytesInMemory to take into account of Sink/Hydrant Object overhead
* Fix byte calculation for maxBytesInMemory to take into account of Sink/Hydrant Object overhead
* fix test
* fix test
* add log
* Fix byte calculation for maxBytesInMemory to take into account of Sink/Hydrant Object overhead
* address comments
* fix checkstyle
* fix checkstyle
* add config to skip overhead memory calculation
* add test for the skipBytesInMemoryOverheadCheck config
* add docs
* fix checkstyle
* fix checkstyle
* fix spelling
* address comments
* fix travis
* address comments
* ready to test
* tested on dev cluster
* tested
* code review
* add UTs
* add UTs
* ut passed
* ut passed
* opti imports
* done
* done
* fix checkstyle
* modify uts
* modify logs
* changing the package of SegmentLazyLoadFailCallback.java to org.apache.druid.segment
* merge from master
* modify import orders
* merge from master
* merge from master
* modify logs
* modify docs
* modify logs to rerun ci
* modify logs to rerun ci
* modify logs to rerun ci
* modify logs to rerun ci
* modify logs to rerun ci
* modify logs to rerun ci
* modify logs to rerun ci
* modify logs to rerun ci
Co-authored-by: yuezhang <yuezhang@freewheel.tv>
* Add a config for monitorScheduler type
* check interrupted
* null check
* do not schedule monitor if the previous one is still running
* checkstyle
* clean up names
* change default back to basic
* fix test
* Tidy up query error codes
* fix tests
* Restore query exception type in JsonParserIterator
* address review comments; add a comment explaining the ugly switch
* fix test
* allow the LogUsedSegments duty to be skippped
* Fixes for TravisCI coverage checks and documentation spell checking
* prameterize DruidCoordinatorTest in order to achieve coverage
* update config name to remove duty ref and improve documentation
* refine documentation for new config with reviewer advice
* add default column to docs for new config
* remove legacy code in LogUsedSegments and remove config to disbale duty
* fix makeHistoricalMangementDuties now that the returned list is always the same
* Coordinator Dynamic Config changes to ease upgrading with new config value
* change a log to debug level following review
* changes based on review feedback
* fix checkstyle
* Remove redundant IncrementalIndex.Builder
* Parametrize incremental index tests and benchmarks
- Reveal and fix a bug in OffheapIncrementalIndex
* Fix forbiddenapis error: Forbidden method invocation: java.lang.String#format(java.lang.String,java.lang.Object[]) [Uses default locale]
* Fix Intellij errors: declared exception is never thrown
* Add documentation and validate before closing objects on tearDown.
* Add documentation to OffheapIncrementalIndexTestSpec
* Doc corrections and minor changes.
* Add logging for generated rows.
* Refactor new tests/benchmarks.
* Improve IncrementalIndexCreator documentation
* Add required tests for DataGenerator
* Revert "rollupOpportunity" to be a string
* Multiphase merge for IndexMergerV9
* JSON fix
* Cleanup temp files
* Docs
* Address logging and add IT
* Fix spelling and test unloader datasource name
* dynamic coord config adding more balancing control
add new dynamic coordinator config, maxSegmentsToConsiderPerMove. This
config caps the number of segments that are iterated over when selecting
a segment to move. The default value combined with current balancing
strategies will still iterate over all provided segments. However,
setting this value to something > 0 will cap the number of segments
visited. This could make sense in cases where a cluster has a very large
number of segments and the admins prefer less iterations vs a thorough
consideration of all segments provided.
* fix checkstyle failure
* Make doc more detailed for admin to understand when/why to use new config
* refactor PR to use a % of segments instead of raw number
* update the docs
* remove bad doc line
* fix typo in name of new dynamic config
* update RservoirSegmentSampler to gracefully deal with values > 100%
* add handler for <= 0 in ReservoirSegmentSampler
* fixup CoordinatorDynamicConfigTest naming and argument ordering
* fix items in docs after spellcheck flags
* Fix lgtm flag on missing space in string literal
* improve documentation for new config
* Add default value to config docs and add advice in cluster tuning doc
* Add percentOfSegmentsToConsiderPerMove to web console coord config dialog
* update jest snapshot after console change
* fix spell checker errors
* Improve debug logging in getRandomSegmentBalancerHolder to cover all bad inputs for % of segments to consider
* add new config back to web console module after merge with master
* fix ReservoirSegmentSamplerTest
* fix line breaks in coordinator console dialog
* Add a test that helps ensure not regressions for percentOfSegmentsToConsiderPerMove
* Make improvements based off of feedback in review
* additional cleanup coming from review
* Add a warning log if limit on segments to consider for move can't be calcluated
* remove unused import
* fix tests for CoordinatorDynamicConfig
* remove precondition test that is redundant in CoordinatorDynamicConfig Builder class
* add query through to server selector
* add nullable extensions, deprecate old methods with defaults
* style changes
* add nullable to ServerSelectorStrategy
* fix test coverage
* missing override in test
* add null check
* Fixes and tests related to the Indexer process.
Three bugs fixed:
1) Indexers would not announce themselves as segment servers if they
did not have storage locations defined. This used to work, but was
broken in #9971. Fixed this by adding an "isSegmentServer" method
to ServerType and updating SegmentLoadDropHandler to always announce
if this method returns true.
2) Certain batch task types were written in a way that assumed "isReady"
would be called before "run", which is not guaranteed. In particular,
they relied on it in order to initialize "taskLockHelper". Fixed this
by updating AbstractBatchIndexTask to ensure "isReady" is called
before "run" for these tasks.
3) UnifiedIndexerAppenderatorsManager did not properly handle complex
datasources. Introduced DataSourceAnalysis in order to fix this.
Test changes:
1) Add a new "docker-compose.cli-indexer.yml" config that spins up an
Indexer instead of a MiddleManager.
2) Introduce a "USE_INDEXER" environment variable that determines if
docker-compose will start up an Indexer or a MiddleManager.
3) Duplicate all the jdk8 tests and run them in both MiddleManager and
Indexer mode.
4) Various adjustments to encourage fail-fast errors in the Docker
build scripts.
5) Various adjustments to speed up integration tests and reduce memory
usage.
6) Add another Mac-specific approach to determining a machine's own IP.
This was useful on my development machine.
7) Update segment-count check in ITCompactionTaskTest to eliminate a
race condition (it was looking for 6 segments, which only exist
together briefly, until the older 4 are marked unused).
Javadoc updates:
1) AbstractBatchIndexTask: Added javadocs to determineLockGranularityXXX
that make it clear when taskLockHelper will be initialized as a side
effect. (Related to the second bug above.)
2) Task: Clarified that "isReady" is not guaranteed to be called before
"run". It was already implied, but now it's explicit.
3) ZkCoordinator: Clarified deprecation message.
4) DataSegmentServerAnnouncer: Clarified deprecation message.
* Fix stop_cluster script.
* Fix sanity check in script.
* Fix hashbang lines.
* Test and doc adjustments.
* Additional tests, and adjustments for tests.
* Split ITs back out.
* Revert change to druid_coordinator_period_indexingPeriod.
* Set Indexer capacity to match MM.
* Bump up Historical memory.
* Bump down coordinator, overlord memory.
* Bump up Broker memory.
* fix to allow customer storage location selector strategy
* add test cases to check instance of selector strategy
* update doc
* code format
* resolve code review comments
* inject StorageLocation
* fix CI
* fix mismatched license item reported by CI
* change property path from druid.segmentCache.locationSelectorStrategy.type to druid.segmentCache.locationSelector.strategy
* using a helper method to bind to correct property path
* Two fixes related to encoding of % symbols.
1) TaskResourceFilter: Don't double-decode task ids. request.getPathSegments()
returns already-decoded strings. Applying StringUtils.urlDecode on
top of that causes erroneous behavior with '%' characters.
2) Update various ThreadFactoryBuilder name formats to escape '%'
characters. This fixes situations where substrings starting with '%'
are erroneously treated as format specifiers.
ITs are updated to include a '%' in extra.datasource.name.suffix.
* Avoid String.replace.
* Work around surefire bug.
* Fix xml encoding.
* Another try at the proper encoding.
* Give up on the emojis.
* Less ambitious testing.
* Fix an additional problem.
* Adjust encodeForFormat to return null if the input is null.
These caused certain APIs to not actually be properly forbidden.
Also removed two MoreExecutors entries for methods that don't exist in
our version of Guava.
* Move common methods that are used in HadoopTuningConfig and in AppenderatorConfig to TuningConfig
* Rename rowFlushBoundary in HadoopTuningConfig to maxRowsInMemory to match TuningConfig API
* Add new coordinator metrics for duty runtimes
* fix spelling for a constant variable value
* add comment clarifying why the global runtime metric is emitted where it is
* Remove duty alias in lieu of using the class name for metrics
* fix docs
* CoordinatorStats tests + add duty stats to accumulate() logic
* support multi-line text
* add test cases
* split json text into lines case by case
* improve exception handle
* fix CI
* use IntermediateRowParsingReader as base of JsonReader
* update doc
* ignore the non-immutable field in test case
* add more test cases
* mark `lineSplittable` as final
* fix testcases
* fix doc
* add a test case for SqlReader
* return all raw columns when exception occurs
* fix CI
* fix test cases
* resolve review comments
* handle ParseException returned by index.add
* apply Iterables.getOnlyElement
* fix CI
* fix test cases
* improve code in more graceful way
* fix test cases
* fix test cases
* add a test case to check multiple json string in one text block
* fix inspection check
* Introduce a Configurable Index Type
* Change to @UnstableApi
* Add AppendableIndexSpecTest
* Update doc
* Add spelling exception
* Add tests coverage
* Revert some of the changes to reduce diff
* Minor fixes
* Update getMaxBytesInMemoryOrDefault() comment
* Fix typo, remove redundant interface
* Remove off-heap spec (postponed to a later PR)
* Add javadocs to AppendableIndexSpec
* Describe testCreateTask()
* Add tests for AppendableIndexSpec within TuningConfig
* Modify hashCode() to conform with equals()
* Add comment where building incremental-index
* Add "EqualsVerifier" tests
* Revert some of the API back to AppenderatorConfig
* Don't use multi-line comments
* Remove knob documentation (deferred)
* fix negative queuedSize problem in CuratorLoadQueuePeon
* add comment and optimize test case
* fix typo
Co-authored-by: huagnhui.bigrey <huanghui.bigrey@bytedance.com>
* Proposed changes for making joins cacheable
* Add unit tests
* Fix tests
* simplify logic
* Pull empty byte array logic out of CachingQueryRunner
* remove useless null check
* Minor refactor
* Fix tests
* Fix segment caching on Broker
* Move join cache key computation in Broker
Move join cache key computation in Broker from ResultLevelCachingQueryRunner to CachingClusteredClient
* Fix compilation
* Review comments
* Add more tests
* Fix inspection errors
* Pushed condition analysis to JoinableFactory
* review comments
* Disable join caching for broker and add prefix key to BroadcastSegmentIndexedTable
* Remove commented lines
* Fix populateCache
* Disable caching for selective datasources
Refactored the code so that we can decide at the data source level, whether to enable cache for broker or data nodes
* Adding more worker metrics to Druid Overlord
* Changing the nomenclature from worker to peon as that represents the metrics that we want to monitor better
* Few more instance of worker usage replaced with peon
* Modifying the peon idle count logic to only use eligible workers available capacity
* Changing the naming to task slot count instead of peon
* Adding some unit test coverage for the new test runner apis
* Addressing Review Comments
* Modifying the TaskSlotCountStatsProvider apis so that overlords which are not leader do not emit these metrics
* Fixing the spelling issue in the docs
* Setting the annotation Nullable on the TaskSlotCountStatsProvider methods
* Store hash partition function in dataSegment and allow segment pruning only when hash partition function is provided
* query context
* fix tests; add more test
* javadoc
* docs and more tests
* remove default and hadoop tests
* consistent name and fix javadoc
* spelling and field name
* default function for partitionsSpec
* other comments
* address comments
* fix tests and spelling
* test
* doc
* Auto-compaction snapshot API
* Auto-compaction snapshot API
* Auto-compaction snapshot API
* Auto-compaction snapshot API
* Auto-compaction snapshot API
* Auto-compaction snapshot API
* Auto-compaction snapshot API
* fix when not all compacted segments are iterated
* add unit tests
* add unit tests
* add unit tests
* add unit tests
* add unit tests
* add unit tests
* add some tests to make code cov happy
* address comments
* address comments
* address comments
* address comments
* make code coverage happy
* address comments
* address comments
* address comments
* address comments
* Adding more dimensions to the audit log entry
* Making adding payload in audit metric optional
* Changing the name of the parameter to includePayloadAsDimensionInMetric. Adding a unit test
* Fixing the intellij code introspection issues
* recreate the balancer executor only when needed
* fix UT error
* shutdown the balancer executor in stopBeingLeader and stop
* remove commented code
* remove comments
* optimize announceHistoricalSegment
* optimize announceHistoricalSegment
* revert offline SegmentTransactionalInsertAction uses a separate lock
* optimize segmentExistsBatch: Avoid too many elements in the in condition
* add unit test && Modified according to cr
Co-authored-by: xiangqiao <xiangqiao@kuaishou.com>
* Fix handling of 'join' on top of 'union' datasources.
The problem is that unions are typically rewritten into a series of
individual queries on the underlying tables, but this isn't done when
the union is wrapped in a join.
The main changes are in UnionQueryRunner:
1) Replace an instanceof UnionQueryRunner check with DataSourceAnalysis.
2) Replace a "query.withDataSource" call with a new function, "Queries.withBaseDataSource".
Together, these enable UnionQueryRunner to "see through" a join.
* Tests.
* Adjust heap sizes for integration tests.
* Different approach, more tests.
* Tweak.
* Styling.
* Add support for all partitioing schemes for auto compaction
* annotate last compaction state for multi phase parallel indexing
* fix build and tests
* test
* better home
* better type tracking: add typed postaggs, finalized types for agg factories
* more javadoc
* adjustments
* transition to getTypeName to be used exclusively for complex types
* remove unused fn
* adjust
* more better
* rename getTypeName to getComplexTypeName
* setup expression post agg for type inference existing
* more javadocs
* fixup
* oops
* more test
* more test
* more comments/javadoc
* nulls
* explicitly handle only numeric and complex aggregators for incremental index
* checkstyle
* more tests
* adjust
* more tests to showcase difference in behavior
* timeseries longsum array
* Segment backed broadcast join IndexedTable
* fix comments
* fix tests
* sharing is caring
* fix test
* i hope this doesnt fix it
* filter by schema to maybe fix test
* changes
* close join stuffs so it does not leak, allow table to directly make selector factory
* oops
* update comment
* review stuffs
* better check
* remove DruidLeaderClient.goAsync(..) that does not follow redirect.
Replace its usage by DruidLeaadereClient.go(..) with
InputStreamFullResponseHandler
* remove ByteArrayResponseHolder dependency from JsonParserIterator
* add UT to cover lines in InputStreamFullResponseHandler
* refactor SystemSchema to reduce branches
* further reduce branches
* Revert "add UT to cover lines in InputStreamFullResponseHandler"
This reverts commit 330aba3dd9.
* UTs for InputStreamFullResponseHandler
* remove unused imports
* fix bug with realtime expressions on sparse string columns
* fix test
* add comment back
* push capabilities for dimensions to dimension indexers since they know things
* style
* style
* fixes
* getting a bit carried away
* missed one
* fix it
* benchmark build fix
* review stuffs
* javadoc and comments
* add comment
* more strict check
* fix missed usaged of impl instead of interface
* support unit suffix on byte-related properties
* add doc
* change default value of byte-related properites in example files
* fix coding style
* fix doc
* fix CI
* suppress spelling errors
* improve code according to comments
* rename Bytes to HumanReadableBytes
* add getBytesInInt to get value safely
* improve doc
* fix problem reported by CI
* fix problem reported by CI
* resolve code review comments
* improve error message
* improve code & doc according to comments
* fix CI problem
* improve doc
* suppress spelling check errors
* Add segment pruning for hash based partitioning
* Update doc
* Add additional test
* Address comments
* Fix unit test failure
Co-authored-by: Jian Wang <jwang@pinterest.com>
* Add validation for authorizer name
* fix deps
* add javadocs
* Do not use resource filters
* Fix BasicAuthenticatorResource as well
* Add integration tests
* fix test
* fix
* Update Jetty to 9.4.30.v20200611.
This is the latest version currently available in the 9.4.x line.
* Various adjustments.
* Class name fixes.
* Remove unused HttpClientModule code.
* Add coverage suppressions.
* Another coverage suppression.
* Fix wildcards.
* Fix RetryQueryRunner to actually do the job
* more javadoc
* fix test and checkstyle
* don't combine for testing
* address comments
* fix unit tests
* always initialize response context in cachingClusteredClient
* fix subquery
* address comments
* fix test
* query id for builders
* make queryId optional in the builders and ClusterQueryResult
* fix test
* suppress tests and unused methods
* exclude groupBy builder
* fix jacoco exclusion
* add tests for builders
* address comments
* don't truncate
* Join filter pre-analysis simplifications and sanity checks.
- At pre-analysis time, only compute pre-analysis for the innermost
root query, since this is the one that will run on the join that involves
the base datasource. Previously, pre-analyses were computed for multiple
levels of the query, some of which were unnecessary.
- Remove JoinFilterPreAnalysisGroup and join query level gathering code,
since they existed to support precomputation of multiple pre-analyses.
- Embed JoinFilterPreAnalysisKey into JoinFilterPreAnalysis and use it to
sanity check at processing time that the correct pre-analysis was done.
Tangentially related changes:
- Remove prioritizeAndLaneQuery functionality from LocalQuerySegmentWalker.
The computed priority and lanes were not being used.
- Add "getBaseQuery" method to DataSourceAnalysis to support identification
of the proper subquery for filter pre-analysis.
* Fix compilation errors.
* Adjust tests.
* Make brokers backwards compatible
In 0.19, Brokers gained the ability to serve segments. To support this change,
a `BROKER` ServerType was added to `druid.server.coordination`.
Druid nodes prior to this change do not know of this new server type and so
they would fail to deserialize this node's announcement.
This change makes it so that the broker only announces itself if the segment
cache is configured on the broker. It is expected that a Druid admin will only
configure the segment cache on the broker once the cluster has been upgraded
to a version that supports a broker using the segment cache.
* make code nicer
* Add tests
* Ignore icode coverage for nitialization classes
* Revert "Ignore icode coverage for nitialization classes"
This reverts commit aeec0c2ac2.
* code review
* Filter http requests by http method
Add a config that allows a user which http methods to allow against their
Druid server.
Druid will only accept http requests with the method: GET, PUT, POST, DELETE
and OPTIONS.
If a Druid admin wants to allow other methods, they can do so by using the
ServerConfig#allowedHttpMethods config.
If a Druid user would like to disallow OPTIONS, this can be done by changing
the AuthConfig#allowUnauthenticatedHttpOptions config
* Exclude OPTIONS from always supported HTTP methods
Add HEAD as an allowed method for web console e2e tests
* fix docs
* fix security IT
* Actually fix the web console e2e tests
* Ignore icode coverage for nitialization classes
* code review
* Fill in the core partition set size properly for batch ingestion with
dynamic partitioning
* incomplete javadoc
* Address comments
* fix tests
* fix json serde, add tests
* checkstyle
* Set core partition set size for hash-partitioned segments properly in
batch ingestion
* test for both parallel and single-threaded task
* unused variables
* fix test
* unused imports
* add hash/range buckets
* some test adjustment and missing json serde
* centralized partition id allocation in parallel and simple tasks
* remove string partition chunk
* revive string partition chunk
* fill numCorePartitions for hadoop
* clean up hash stuffs
* resolved todos
* javadocs
* Fix tests
* add more tests
* doc
* unused imports
* Allow append to existing datasources when dynamic partitioing is used
* fix test
* checkstyle
* checkstyle
* fix test
* fix test
* fix other tests..
* checkstyle
* hansle unknown core partitions size in overlord segment allocation
* fail to append when numCorePartitions is unknown
* log
* fix comment; rename to be more intuitive
* double append test
* cleanup complete(); add tests
* fix build
* add tests
* address comments
* checkstyle
* change default number of segment loading threads
* fix docs
* missed file
* min -> max for segment loading threads
Co-authored-by: Dylan <dwylie@spotx.tv>
* Fill in the core partition set size properly for batch ingestion with
dynamic partitioning
* incomplete javadoc
* Address comments
* fix tests
* fix json serde, add tests
* checkstyle
* Set core partition set size for hash-partitioned segments properly in
batch ingestion
* test for both parallel and single-threaded task
* unused variables
* fix test
* unused imports
* add hash/range buckets
* some test adjustment and missing json serde
* centralized partition id allocation in parallel and simple tasks
* remove string partition chunk
* revive string partition chunk
* fill numCorePartitions for hadoop
* clean up hash stuffs
* resolved todos
* javadocs
* Fix tests
* add more tests
* doc
* unused imports
* IntelliJ inspection and checkstyle rule for "Collection.EMPTY_* field accesses replaceable with Collections.empty*()"
* Reverted checkstyle rule
* Added tests to pass CI
* Codestyle
* API to verify a datasource has the latest ingested data
* API to verify a datasource has the latest ingested data
* API to verify a datasource has the latest ingested data
* API to verify a datasource has the latest ingested data
* API to verify a datasource has the latest ingested data
* fix checksyle
* API to verify a datasource has the latest ingested data
* API to verify a datasource has the latest ingested data
* API to verify a datasource has the latest ingested data
* API to verify a datasource has the latest ingested data
* fix spelling
* address comments
* fix checkstyle
* update docs
* fix tests
* fix doc
* address comments
* fix typo
* fix spelling
* address comments
* address comments
* fix typo in docs
* Remove LegacyDataSource.
Its purpose was to enable deserialization of strings into TableDataSources.
But we can do this more straightforwardly with Jackson annotations.
* Slight test improvement.
* Fix broadcast rule drop and docs
* Remove racy test check
* Don't drop non-broadcast segments on tasks, add overshadowing handling
* Don't use realtimes for overshadowing
* Fix dropping for ingestion services
* make joinables closeable
* tests and adjustments
* refactor to make join stuffs impelement ReferenceCountedObject instead of Closable, more tests
* fixes
* javadocs and stuff
* fix bugs
* more test
* fix lgtm alert
* simplify
* fixup javadoc
* review stuffs
* safeguard against exceptions
* i hate this checkstyle rule
* make IndexedTable extend Closeable
* Add REGEXP_LIKE, fix empty-pattern bug in REGEXP_EXTRACT.
- Add REGEXP_LIKE function that returns a boolean, and is useful in
WHERE clauses.
- Fix REGEXP_EXTRACT return type (should be nullable; causes incorrect
filter elision).
- Fix REGEXP_EXTRACT behavior for empty patterns: should always match
(previously, they threw errors).
- Improve error behavior when REGEXP_EXTRACT and REGEXP_LIKE are passed
non-literal patterns.
- Improve documentation of REGEXP_EXTRACT.
* Changes based on PR review.
* Fix arg check.
* Important fixes!
* Add speller.
* wip
* Additional tests.
* Fix up tests.
* Add validation error tests.
* Additional tests.
* Remove useless call.
This change removes ListenableFutures.transformAsync in favor of the
existing Guava Futures.transform implementation. Our own implementation
had a bug which did not fail the future if the applied function threw an
exception, resulting in the future never completing.
An attempt was made to fix this bug, however when running againts Guava's own
tests, our version failed another half dozen tests, so it was decided to not
continue down that path and scrap our own implementation.
Explanation for how was this bug manifested itself:
An exception thrown in BaseAppenderatorDriver.publishInBackground when
invoked via transformAsync in StreamAppenderatorDriver.publish will
cause the resulting future to never complete.
This explains why when encountering https://github.com/apache/druid/issues/9845
the task will never complete, forever waiting for the publishFuture to
register the handoff. As a result, the corresponding "Error while
publishing segments ..." message only gets logged once the index task
times out and is forcefully shutdown when the future is force-cancelled
by the executor.
during segment publishing we do streaming operations on a collection not
safe for concurrent modification. To guarantee correct results we must
also guard any operations on the stream itself.
This may explain the issue seen in https://github.com/apache/druid/issues/9845
* refactor SeekableStreamSupervisor usage of RecordSupplier to reduce contention between background threads and main thread, refactor KinesisRecordSupplier, refactor Kinesis lag metric collection and emitting
* fix style and test
* cleanup, refactor, javadocs, test
* fixes
* keep collecting current offsets and lag if unhealthy in background reporting thread
* review stuffs
* add comment
* add flag to flattenSpec to keep null columns
* remove changes to inputFormat interface
* add comment
* change comment message
* update web console e2e test
* move keepNullColmns to JSONParseSpec
* fix merge conflicts
* fix tests
* set keepNullColumns to false by default
* fix lgtm
* change Boolean to boolean, add keepNullColumns to hash, add tests for keepKeepNullColumns false + true with no nuulul columns
* Add equals verifier tests
* Adding support for autoscaling in GCE
* adding extra google deps also in gce pom
* fix link in doc
* remove unused deps
* adding terms to spelling file
* version in pom 0.17.0-incubating-SNAPSHOT --> 0.18.0-SNAPSHOT
* GCEXyz -> GceXyz in naming for consistency
* add preconditions
* add VisibleForTesting annotation
* typos in comments
* use StringUtils.format instead of String.format
* use custom exception instead of exit
* factorize interval time between retries
* making literal value a constant
* iter all network interfaces
* use provided on google (non api) deps
* adding missing dep
* removing unneded this and use Objects methods instead o 3-way if in hash and comparison
* adding import
* adding retries around getRunningInstances and adding limit for operation end waiting
* refactor GceEnvironmentConfig.hashCode
* 0.18.0-SNAPSHOT -> 0.19.0-SNAPSHOT
* removing unused config
* adding tests to hash and equals
* adding nullable to waitForOperationEnd
* adding testTerminate
* adding unit tests for createComputeService
* increasing retries in unrelated integration-test to prevent sporadic failure (hopefully)
* reverting queryResponseTemplate change
* adding comment for Compute.Builder.build() returning null
* fixes for inline subqueries when multi-value dimension is present
* fix test
* allow missing capabilities for vectorized group by queries to be treated as single dims since it means that column doesnt exist
* add comment
* Add API to trigger a compaction by the coordinator for integration tests
* Add missing integration tests for the compaction by the coordinator
* address comments
* Fix off-by-one in IndexedTableJoinMatcher.getCardinality.
It would report a cardinality that is one lower than the actual cardinality.
The missing value is the phantom null that can be generated by outer joins.
* Fix tests.
* Remove no-op assert statement
The assert statement in ClientQuerySegmentWalker will always be true because
of the preceeding while loop which has the same condition.
This change removes dead code to fix an error reported by LGTM
* Suppress lgtm
* cleanup whitespace
* IntelliJ inspections cleanup
* Standard Charset object can be used
* Redundant Collection.addAll() call
* String literal concatenation missing whitespace
* Statement with empty body
* Redundant Collection operation
* StringBuilder can be replaced with String
* Type parameter hides visible type
* fix warnings in test code
* more test fixes
* remove string concatenation inspection error
* fix extra curly brace
* cleanup AzureTestUtils
* fix charsets for RangerAdminClient
* review comments
* druid pac4j security extension for OpenID Connect OAuth 2.0 authentication
* update version in druid-pac4j pom
* introducing unauthorized resource filter
* authenticated but authorized /unified-webconsole.html
* use httpReq.getRequestURI() for matching callback path
* add documentation
* minor doc addition
* licesne file updates
* make dependency analyze succeed
* fix doc build
* hopefully fixes doc build
* hopefully fixes license check build
* yet another try on fixing license build
* revert unintentional changes to website folder
* update version to 0.18.0-SNAPSHOT
* check session and its expiry on each request
* add crypto service
* code for encrypting the cookie
* update doc with cookiePassphrase
* update license yaml
* make sessionstore in Pac4jFilter private non static
* make Pac4jFilter fields final
* okta: use sha256 for hmac
* remove incubating
* add UTs for crypto util and session store impl
* use standard charsets
* add license header
* remove unused file
* add org.objenesis.objenesis to license.yaml
* a bit of nit changes in CryptoService and embedding EncryptionResult for clarity
* rename alg to cipherAlgName
* take cipher alg name, mode and padding as input
* add java doc for CryptoService and make it more understandable
* another UT for CryptoService
* cache pac4j Config
* use generics clearly in Pac4jSessionStore
* update cookiePassphrase doc to mention PasswordProvider
* mark stuff Nullable where appropriate in Pac4jSessionStore
* update doc to mention jdbc
* add error log on reaching callback resource
* javadoc for Pac4jCallbackResource
* introduce NOOP_HTTP_ACTION_ADAPTER
* add correct module name in license file
* correct extensions folder name in licenses.yaml
* replace druid-kubernetes-extensions to druid-pac4j
* cache SecureRandom instance
* rename UnauthorizedResourceFilter to AuthenticationOnlyResourceFilter
* SQL support for joins on subqueries.
Changes to SQL module:
- DruidJoinRule: Allow joins on subqueries (left/right are no longer
required to be scans or mappings).
- DruidJoinRel: Add cost estimation code for joins on subqueries.
- DruidSemiJoinRule, DruidSemiJoinRel: Removed, since DruidJoinRule can
handle this case now.
- DruidRel: Remove Nullable annotation from toDruidQuery, because
it is no longer needed (it was used by DruidSemiJoinRel).
- Update Rules constants to reflect new rules available in our current
version of Calcite. Some of these are useful for optimizing joins on
subqueries.
- Rework cost estimation to be in terms of cost per row, and place all
relevant constants in CostEstimates.
Other changes:
- RowBasedColumnSelectorFactory: Don't set hasMultipleValues. The lack
of isComplete is enough to let callers know that columns might have
multiple values, and explicitly setting it to true causes
ExpressionSelectors to think it definitely has multiple values, and
treat the inputs as arrays. This behavior interfered with some of the
new tests that involved queries on lookups.
- QueryContexts: Add maxSubqueryRows parameter, and use it in druid-sql
tests.
* Fixes for tests.
* Adjustments.
* Broker: Add ability to inline subqueries.
The main changes:
- ClientQuerySegmentWalker: Add ability to inline queries.
- Query: Add "getSubQueryId" and "withSubQueryId" methods.
- QueryMetrics: Add "subQueryId" dimension.
- ServerConfig: Add new "maxSubqueryRows" parameter, which is used by
ClientQuerySegmentWalker to limit how many rows can be inlined per
query.
- IndexedTableJoinMatcher: Allow creating keys on top of unknown types,
by assuming they are strings. This is useful because not all types are
known for fields in query results.
- InlineDataSource: Store RowSignature rather than component parts. Add
more zealous "equals" and "hashCode" methods to ease testing.
- Moved QuerySegmentWalker test code from CalciteTests and
SpecificSegmentsQueryWalker in druid-sql to QueryStackTests in
druid-server. Use this to spin up a new ClientQuerySegmentWalkerTest.
* Adjustments from CI.
* Fix integration test.
* Move RowSignature from druid-sql to druid-processing and make use of it.
1) Moved (most of) RowSignature from sql to processing. Left behind the SQL-specific
stuff in a RowSignatures utility class. It also picked up some new convenience
methods along the way.
2) There were a lot of places in the code where Map<String, ValueType> was used to
associate columns with type info. These are now all replaced with RowSignature.
3) QueryToolChest's resultArrayFields method is replaced with resultArraySignature,
and it now provides type info.
* Fix up extensions.
* Various fixes
* Link up row-based datasources to serving layer.
- Add SegmentWrangler interface that allows linking of DataSources to Segments.
- Add LocalQuerySegmentWalker that uses SegmentWranglers to compute queries on
data that is available locally.
- Modify ClientQuerySegmentWalker to use LocalQuerySegmentWalker when the base
datasource is concrete and not a table.
- Add SegmentWranglerModule to the Broker so it has them available and can
properly instantiate . LocalQuerySegmentWalkers.
- Set InlineDataSource and LookupDataSource to concrete, since they can be
directly queried now.
* Fix tests.
* Use the iterator instead of higherKey(); use the iterator API instead of stream
* Fix tests; fix a concurrency bug in timeline
* fix test
* add tests for findNonOvershadowedObjectsInInterval
* fix test
* add missing tests; fix a bug in QueueEntry
* equals tests
* fix test
* add Expr.stringify which produces parseable expression strings, parser support for null values in arrays, and parser support for empty numeric arrays
* oops, macros are expressions too
* style
* spotbugs
* qualified type arrays
* review stuffs
* simplify grammar
* more permissive array parsing
* reuse expr joiner
* fix it
* Run IntelliJ inspections on Travis
Running IntelliJ inspections currently takes about 90 minutes, but they
can be run in about 30 minutes on Travis.
* Restore assert statements
* Fix timestamp extract fn to match postgres
Update the timestamp extract function so that it matches the PostgreSQL docs.
Examples from the PostgreSQL docs were added as tests for DECADE, CENTURY
and MILLENIUM extraction.
There were bugs in CENTURY and MILLENIUM that were spotted because of intelliJ
inspections - 'Integer division in floating point context'
* Update CalciteQueryTest
* remove useless round
* mark integer division as an error
* Refactoring codes around ingestion:
- Parallel index task and simple task now use the same segment allocator implementation. This is reusable for the future implementation as well.
- Added PartitionAnalysis to store the analysis of the partitioning
- Move some util methods to SegmentLockHelper and rename it to TaskLockHelper
* fix build
* fix SingleDimensionShardSpecFactory
* optimize SingledimensionShardSpecFactory
* fix test
* shard spec builder
* import order
* shardSpecBuilder -> partialShardSpec
* build -> complete
* fix comment; add unit tests for partitionBoundaries
* add more tests and fix javadoc
* fix toString(); add serde tests for HashBasedNumberedPartialShardSpec and SegmentAllocateAction
* fix test
* add equality test for hash and range partial shard specs
* Forbid easily misused HashSet and HashMap constructors
* Add two LinkedHashMap constructors to forbidden-apis and create utility method as replacement for them
* Fix visibility of constant in CollectionUtils.java
* Make an exception for an instance of LinkedHashMap#<init>(int) because proper sizing is used
* revert changes to sql module tests that should be in separate PR
* Finish reverting changes to sql module tests that were flagged in checkstyle during CI
* Add netty dependency resulting from SupressForbidden
* Create new dynamic config to pause coordinator helpers when needed
* Fix spelling mistakes flagged in Travis build
* Add an integration test for coordinator pause dynamic config
* Improve documentation for new dynamic coordinator config and remove un-needed info logs in favor of debug
* address naming convention of 'deep store' vs 'deep storage' in new configs doc line
* Fix newline at end of configuration index.md
* Last try to resolve newline issue in configuration readme
* fix spell checks from travis build
* Fix another flagges spelling error from Travis
* Remove EasyMock dependency from CalciteTests.
Useful because CalciteTests is used by other modules (e.g. druid-benchmarks)
and we don't want them to have to pull in EasyMock.
* CalciteTests no longer needs curator-x-discovery either.
* SQL join support for lookups.
1) Add LookupSchema to SQL, so lookups show up in the catalog.
2) Add join-related rels and rules to SQL, allowing joins to be planned into
native Druid queries.
* Add two missing LookupSchema calls in tests.
* Fix tests.
* Fix typo.
* Add LookupJoinableFactory.
Enables joins where the right-hand side is a lookup. Includes an
integration test.
Also, includes changes to LookupExtractorFactoryContainerProvider:
1) Add "getAllLookupNames", which will be needed to eventually connect
lookups to Druid's SQL catalog.
2) Convert "get" from nullable to Optional return.
3) Swap out most usages of LookupReferencesManager in favor of the
simpler LookupExtractorFactoryContainerProvider interface.
* Fixes for tests.
* Fix another test.
* Java 11 message fix.
* Fixups.
* Fixup benchmark class.
* Add getRightColumns to JoinConditionAnalysis
This change other implementations of JoinableFactory to ask the analysis
for the right key columns instead of having to calculate it themselves.
* Address some review comments
* more code review stuff
* intelliJ inspections cleanup
- remove redundant escapes
- performance warnings
- access static member via instance reference
- static method declared final
- inner class may be static
Most of these changes are aesthetic, however, they will allow inspections to
be enabled as part of CI checks going forward
The valuable changes in this delta are:
- using StringBuilder instead of string addition in a loop
indexing-hadoop/.../Utils.java
processing/.../ByteBufferMinMaxOffsetHeap.java
- Use class variables instead of static variables for parameterized test
processing/src/.../ScanQueryLimitRowIteratorTest.java
* Add intelliJ inspection warnings as errors to druid profile
* one more static inner class
* Make JoinableFactory an extension point
This change makes it so that extensions can register a JoinableFactory that
should be used for a DataSource.
Extensions can provide the factories via DruidBinders#joinableFactoryBinder
Known DataSources - like InlineDataSource are provided in the
JoinableFactoryModule. This module installs a FactoryWarehouse that is
used to decide which factory should be used to generate the Joinable for
the provided DataSource.
The ExtensionPoint is marked as Beta since it is not yet clear if this
needs to remain available to other extensions or if the best way to
register a factory is by using the datasource class.
* Add module test
* remove useless bindings in test
* remove ExtensionPoint annotation
* Make LifecycleLock not final to help with testing
* Reconcile terminology and method naming to 'used/unused segments'; Don't use terms 'enable/disable data source'; Rename MetadataSegmentManager to MetadataSegments; Make REST API methods which mark segments as used/unused to return server error instead of an empty response in case of error
* Fix brace
* Import order
* Rename withKillDataSourceWhitelist to withSpecificDataSourcesToKill
* Fix tests
* Fix tests by adding proper methods without interval parameters to IndexerMetadataStorageCoordinator instead of hacking with Intervals.ETERNITY
* More aligned names of DruidCoordinatorHelpers, rename several CoordinatorDynamicConfig parameters
* Rename ClientCompactTaskQuery to ClientCompactionTaskQuery for consistency with CompactionTask; ClientCompactQueryTuningConfig to ClientCompactionTaskQueryTuningConfig
* More variable and method renames
* Rename MetadataSegments to SegmentsMetadata
* Javadoc update
* Simplify SegmentsMetadata.getUnusedSegmentIntervals(), more javadocs
* Update Javadoc of VersionedIntervalTimeline.iterateAllObjects()
* Reorder imports
* Rename SegmentsMetadata.tryMark... methods to mark... and make them to return boolean and the numbers of segments changed and relay exceptions to callers
* Complete merge
* Add CollectionUtils.newTreeSet(); Refactor DruidCoordinatorRuntimeParams creation in tests
* Remove MetadataSegmentManager
* Rename millisLagSinceCoordinatorBecomesLeaderBeforeCanMarkAsUnusedOvershadowedSegments to leadingTimeMillisBeforeCanMarkAsUnusedOvershadowedSegments
* Fix tests, refactor DruidCluster creation in tests into DruidClusterBuilder
* Fix inspections
* Fix SQLMetadataSegmentManagerEmptyTest and rename it to SqlSegmentsMetadataEmptyTest
* Rename SegmentsAndMetadata to SegmentsAndCommitMetadata to reduce the similarity with SegmentsMetadata; Rename some methods
* Rename DruidCoordinatorHelper to CoordinatorDuty, refactor DruidCoordinator
* Unused import
* Optimize imports
* Rename IndexerSQLMetadataStorageCoordinator.getDataSourceMetadata() to retrieveDataSourceMetadata()
* Unused import
* Update terminology in datasource-view.tsx
* Fix label in datasource-view.spec.tsx.snap
* Fix lint errors in datasource-view.tsx
* Doc improvements
* Another attempt to please TSLint
* Another attempt to please TSLint
* Style fixes
* Fix IndexerSQLMetadataStorageCoordinator.createUsedSegmentsSqlQueryForIntervals() (wrong merge)
* Try to fix docs build issue
* Javadoc and spelling fixes
* Rename SegmentsMetadata to SegmentsMetadataManager, address other comments
* Address more comments
* Add JoinableFactory interface and use it in the query stack.
Also includes InlineJoinableFactory, which enables joining against
inline datasources. This is the first patch where a basic join query
actually works. It includes integration tests.
* Fix test issues.
* Adjustments from code review.
Builds on #9235, using the datasource analysis functionality to replace various ad-hoc
approaches. The most interesting changes are in ClientQuerySegmentWalker (brokers),
ServerManager (historicals), and SinkQuerySegmentWalker (indexing tasks).
Other changes related to improving how we analyze queries:
1) Changes TimelineServerView to return an Optional timeline, which I thought made
the analysis changes cleaner to implement.
2) Added QueryToolChest#canPerformSubquery, which is now used by query entry points to
determine whether it is safe to pass a subquery dataSource to the query toolchest.
Fixes an issue introduced in #5471 where subqueries under non-groupBy-typed queries
were silently ignored, since neither the query entry point nor the toolchest did
anything special with them.
3) Removes the QueryPlus.withQuerySegmentSpec method, which was mostly being used in
error-prone ways (ignoring any potential subqueries, and not verifying that the
underlying data source is actually a table). Replaces with a new function,
Queries.withSpecificSegments, that includes sanity checks.
* Add join-related DataSource types, and analysis functionality.
Builds on #9111 and implements the datasource analysis mentioned in #8728. Still can't
handle join datasources, but we're a step closer.
Join-related DataSource types:
1) Add "join", "lookup", and "inline" datasources.
2) Add "getChildren" and "withChildren" methods to DataSource, which will be used
in the future for query rewriting (e.g. inlining of subqueries).
DataSource analysis functionality:
1) Add DataSourceAnalysis class, which breaks down datasources into three components:
outer queries, a base datasource (left-most of the highest level left-leaning join
tree), and other joined-in leaf datasources (the right-hand branches of the
left-leaning join tree).
2) Add "isConcrete", "isGlobal", and "isCacheable" methods to DataSource in order to
support analysis.
Other notes:
1) Renamed DataSource#getNames to DataSource#getTableNames, which I think is clearer.
Also, made it a Set, so implementations don't need to worry about duplicates.
2) The addition of "isCacheable" should work around #8713, since UnionDataSource now
returns false for cacheability.
* Remove javadoc comment.
* Updates reflecting code review.
* Add comments.
* Add more comments.
* Fix equalsAndHashCode in ClientCompactQueryTuningConfig
This change introduces a dependency to EqualsVerifier for the test scope.
The dependency is licensed under Apache 2. The library makes it trivial
to add equals and hashCode checks to prevent bugs like this from happening
in the future
* fix checkstyle
* fix test name
* Address security vulnerabilities CVSS >= 7
Update dependencies to address security vulnerabilities with CVSS scores
of 7 or higher. A new Travis CI job is added to prevent new
high/critical security vulnerabilities from being added.
Updated dependencies:
- api-util 1.0.0 -> 1.0.3
- jackson 2.9.10 -> 2.10.1
- kafka 2.1.0 -> 2.1.1
- libthrift 0.10.0 -> 0.13.0
- protobuf 3.2.0 -> 3.11.0
The following high/critical security vulnerabilities are currently
suppressed (so that the new Travis CI job can be added now) and are left
as future work to fix:
- hibernate-validator:5.2.5
- jackson-mapper-asl:1.9.13
- libthrift:0.6.1
- netty:3.10.6
- nimbus-jose-jwt:4.41.1
* Rename EDL1 license file
* Fix inspection errors
* Add FileUtils.createTempDir() and enforce its usage.
The purpose of this is to improve error messages. Previously, the error
message on a nonexistent or unwritable temp directory would be
"Failed to create directory within 10,000 attempts".
* Further updates.
* Another update.
* Remove commons-io from benchmark.
* Fix tests.
* Refactor parallel indexing perfect rollup partitioning
Refactoring to make it easier to later add range partitioning for
perfect rollup parallel indexing. This is accomplished by adding several
new base classes (e.g., PerfectRollupWorkerTask) and new classes for
encapsulating logic that needs to be changed for different partitioning
strategies (e.g., IndexTaskInputRowIteratorBuilder).
The code is functionally equivalent to before except for the following
small behavior changes:
1) PartialSegmentMergeTask: Previously, this task had a priority of
DEFAULT_TASK_PRIORITY. It now has a priority of
DEFAULT_BATCH_INDEX_TASK_PRIORITY (via the new PerfectRollupWorkerTask
base class), since it is a batch index task.
2) ParallelIndexPhaseRunner: A decorator was added to
subTaskSpecIterator to ensure the subtasks are generated with unique
ids. Previously, only tests (i.e., MultiPhaseParallelIndexingTest)
would have this decorator, but this behavior is desired for non-test
code as well.
* Fix forbidden apis and pmd warnings
* Fix analyze dependencies warnings
* Fix IndexTask json and add IT diags
* Fix parallel index supervisor<->worker serde
* Fix TeamCity inspection errors/warnings
* Fix TeamCity inspection errors/warnings again
* Integrate changes with those from #8823
* Address review comments
* Address more review comments
* Fix forbidden apis
* Address more review comments
* Tidy up lifecycle, query, and ingestion logging.
The goal of this patch is to improve the clarity and usefulness of
Druid's logging for cluster operators. For more information, see
https://twitter.com/cowtowncoder/status/1195469299814555648.
Concretely, this patch does the following:
- Changes a lot of INFO logs to DEBUG, and DEBUG to TRACE, with the
goal of reducing redundancy and improving clarity by avoiding
showing rarely-useful log messages. This includes most "starting"
and "stopping" messages, and most messages related to individual
columns.
- Adds new log4j2 templates that show operators how to enabled DEBUG
logging for certain important packages.
- Eliminate stack traces for query errors, unless log level is DEBUG
or more. This is useful because query errors often indicate user
error rather than system error, but dumping stack trace often gave
operators the impression that there was a system failure.
- Adds task id to Appenderator, AppenderatorDriver thread names. In
the default log4j2 configuration, this will put them in log lines
as well. It's very useful if a user is using the Indexer, where
multiple tasks run in the same JVM.
- More consistent terminology when it comes to "sequences" (sets of
segments that are handed-off together by Kafka ingestion) and
"offsets" (cursors in partitions). These terms had been confused in
some log messages due to the fact that Kinesis calls offsets
"sequence numbers".
- Replaces some ugly toString calls with either the JSONification or
something more operator-accessible (like a URL or segment identifier,
instead of JSON object representing the same).
* Adjustments.
* Adjust integration test.
* first steps
* clean licenses
* fix capabilities
* fix specs
* more tests
* new web console on coordinator and overlord, remove setup for old consoles, old configs
* better message
* update licenses
* sync license files
* more button
* fix tslint issue
* jetty-rewrite dependency to add redirects for old console paths
* put dependency in the right place
* fix overlord detection
* fix notices, dedupe licenses
* make segment timeline work in no SQL mode
* update license
* revert hard coded coordinator mode from testing
* update restricted mode copy
* sketch of broker parallel merges done in small batches on fork join pool
* fix non-terminating sequences, auto compute parallelism
* adjust benches
* adjust benchmarks
* now hella more faster, fixed dumb
* fix
* remove comments
* log.info for debug
* javadoc
* safer block for sequence to yielder conversion
* refactor LifecycleForkJoinPool into LifecycleForkJoinPoolProvider which wraps a ForkJoinPool
* smooth yield rate adjustment, more logs to help tune
* cleanup, less logs
* error handling, bug fixes, on by default, more parallel, more tests
* remove unused var
* comments
* timeboundary mergeFn
* simplify, more javadoc
* formatting
* pushdown config
* use nanos consistently, move logs back to debug level, bit more javadoc
* static terminal result batch
* javadoc for nullability of createMergeFn
* cleanup
* oops
* fix race, add docs
* spelling, remove todo, add unhandled exception log
* cleanup, revert unintended change
* another unintended change
* review stuff
* add ParallelMergeCombiningSequenceBenchmark, fixes
* hyper-threading is the enemy
* fix initial start delay, lol
* parallelism computer now balances partition sizes to partition counts using sqrt of sequence count instead of sequence count by 2
* fix those important style issues with the benchmarks code
* lazy sequence creation for benchmarks
* more benchmark comments
* stable sequence generation time
* update defaults to use 100ms target time, 4096 batch size, 16384 initial yield, also update user docs
* add jmh thread based benchmarks, cleanup some stuff
* oops
* style
* add spread to jmh thread benchmark start range, more comments to benchmarks parameters and purpose
* retool benchmark to allow modeling more typical heterogenous heavy workloads
* spelling
* fix
* refactor benchmarks
* formatting
* docs
* add maxThreadStartDelay parameter to threaded benchmark
* why does catch need to be on its own line but else doesnt
* In DirectDruidClient, don't run Future cancellation listener in HTTP library executor
* extract cancelQuery as a method of DirectDruidClient
* Fix testCancel
* Add exception as the first argument to log.error
* IndexerSQLMetadataStorageCoordinator.getTimelineForIntervalsWithHandle() don't fetch abutting intervals; simplify getUsedSegmentsForIntervals()
* Add VersionedIntervalTimeline.findNonOvershadowedObjectsInInterval() method; Propagate the decision about whether only visible segmetns or visible and overshadowed segments should be returned from IndexerMetadataStorageCoordinator's methods to the user logic; Rename SegmentListUsedAction to RetrieveUsedSegmentsAction, SegmetnListUnusedAction to RetrieveUnusedSegmentsAction, and UsedSegmentLister to UsedSegmentsRetriever
* Fix tests
* More fixes
* Add javadoc notes about returning Collection instead of Set. Add JacksonUtils.readValue() to reduce boilerplate code
* Fix KinesisIndexTaskTest, factor out common parts from KinesisIndexTaskTest and KafkaIndexTaskTest into SeekableStreamIndexTaskTestBase
* More test fixes
* More test fixes
* Add a comment to VersionedIntervalTimelineTestBase
* Fix tests
* Set DataSegment.size(0) in more tests
* Specify DataSegment.size(0) in more places in tests
* Fix more tests
* Fix DruidSchemaTest
* Set DataSegment's size in more tests and benchmarks
* Fix HdfsDataSegmentPusherTest
* Doc changes addressing comments
* Extended doc for visibility
* Typo
* Typo 2
* Address comment
* remove select query
* thanks teamcity
* oops
* oops
* add back a SelectQuery class that throws RuntimeExceptions linking to docs
* adjust text
* update docs per review
* deprecated
* Support assign tasks to run on different tiers of MiddleManagers
* address comments
* address comments
* rename tier to category and docs
* doc
* fix doc
* fix spelling errors
* docs
* Stateful auto compaction
* javaodc
* add removed test back
* fix test
* adding indexSpec to compactionState
* fix build
* add lastCompactionState
* address comments
* extract CompactionState
* fix doc
* fix build and test
* Add a task context to store compaction state; add javadoc
* fix it test
* IOConfig for compaction task
* add javadoc, doc, unit test
* fix webconsole test
* add spelling
* address comments
* fix build and test
* address comments
* Add tier based usage metrics for historical nodes to help with druid historical autoscaling
Add tier based usage metrics for historical nodes to help druid cluster orchestration systems understand the historical node usage and requirements. Following metrics would be helpful -
tier/required/capacity- total capacity in bytes required in each tier. Dimensions - tier
tier/total/capacity - total capacity in bytes available in a given tier. Dimension - tier
tier/historical/count - no. of historical nodes available in each tier. Dimension - tier
tier/replication/factor - configured maximum replication factor in given tier. Dimension - tier
* fix unit test failures
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Agustin Gonzalez
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