* 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
* 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
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.
With this change, Druid will only support ZooKeeper 3.5.x and later.
In order to support Java 15 we need to switch to ZK 3.5.x client libraries and drop support for ZK 3.4.x
(see #10780 for the detailed reasons)
* remove ZooKeeper 3.4.x compatibility
* exclude additional ZK 3.5.x netty dependencies to ensure we use our version
* keep ZooKeeper version used for integration tests in sync with client library version
* remove the need to specify ZK version at runtime for docker
* add support to run integration tests with JDK 15
* build and run unit tests with Java 15 in travis
* Do not stop retrying when an exception is encountered. Save & propagate last exception if retry count is exceeded.
* Add one more log message to help with debugging
* Limit schema registry heap to attempt to control OOMs
* Consolidate the number of Dockerfiles
* add build-arguments to choose which Java base image to use at runtime
* default to building image with Java 11
* base k8s integration test image off of the default image: this ensures
our docker image now gets tested as part of integration tests.
* upgrade maven help plugin to 3.2.0
* Do stuff
* Do more stuff
* * Do more stuff
* * Do more stuff
* * working
* * cleanup
* * more cleanup
* * more cleanup
* * add license header
* * Add unit tests
* * add java docs
* * add more unit tests
* * Cleanup test
* * Move removing of workingPath to index task rather than in hadoop job.
* * Address review comments
* * remove unused import
* * Address review comments
* Do not overwrite segment descriptor for segment if it already exists.
* * add comments to FileSystemHelper class
* * fix local hadoop integration test
* * Fix failing test failures when running with java11
* Revert "Revert "Adjust HadoopIndexTask temp segment renaming to avoid potential race conditions (#11075)" (#11151)"
This reverts commit 49a9c3ffb7.
* * remove JobHelperPowerMockTest
* * remove FileSystemHelper class
* upgrade to Apache Kafka 2.8.0 (release notes:
https://downloads.apache.org/kafka/2.8.0/RELEASE_NOTES.html)
* pass Kafka version as a Docker argument in integration tests
to keep in sync with maven version
* fix use of internal Kafka APIs in integration tests
* Do stuff
* Do more stuff
* * Do more stuff
* * Do more stuff
* * working
* * cleanup
* * more cleanup
* * more cleanup
* * add license header
* * Add unit tests
* * add java docs
* * add more unit tests
* * Cleanup test
* * Move removing of workingPath to index task rather than in hadoop job.
* * Address review comments
* * remove unused import
* * Address review comments
* Do not overwrite segment descriptor for segment if it already exists.
* * add comments to FileSystemHelper class
* * fix local hadoop integration test
* 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
* 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
* Ability to use mirror of archive.apache.org
* Ability to use mirror of archive.apache.org: documentation
* Ability to use mirror of archive.apache.org: fix int test Dockerfile: missing COPY instruction
* Suppress logging for some exceptions to reduce excessive stack trace messages
Signed-off-by: frank chen <frank.chen021@outlook.com>
* log message for channel disconnected exception
Signed-off-by: frank chen <frank.chen021@outlook.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>
* 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
Maytas Monsereenusorn
Abhishek Agarwal
Clint Wylie
frank chen
Xavier Léauté
Kashif Faraz
dependabot[bot]
zachjsh
fhan
Agustin Gonzalez
Yi Yuan
Jonathan Wei
Jihoon Son
Lucas Capistrant
zhangyue19921010
Lasse Krogh Mammen
Himadri Singh
Gian Merlino
Vyatcheslav Mogilevsky