* Excluding jackson-jaxrs dependency from ranger-plugin-common to address CVE regression introduced by ranger-upgrade: CVE-2019-10202, CVE-2019-10172
* remove the reference to outdated ranger 2.0 from the docs
---------
Co-authored-by: Xavier Léauté <xl+github@xvrl.net>
* Ability to send task types to k8s or worker task runner
* add more tests
* use runnerStrategy to determine task runner
* minor refine
* refine runner strategy config
* move workerType config to upper level
* validate config when application start
* save work
* Working
* Fix runner constructor
* Working runner
* extra log lines
* try using lifecycle for everything
* clean up configs
* cleanup /workers call
* Use a single config
* Allow selecting runner
* debug changes
* Work on composite task runner
* Unit tests running
* Add documentation
* Add some javadocs
* Fix spelling
* Use standard libraries
* code review
* fix
* fix
* use taskRunner as string
* checkstyl
---------
Co-authored-by: Suneet Saldanha <suneet@apache.org>
* prometheus-emitter: add extraLabels parameter
* prometheus-emitter: update readme to include the extraLabels parameter
* prometheus-emitter: remove nullable and surface label name issues
* remove import to make linter happy
* Add supervisor /resetOffsets API.
- Add a new endpoint /druid/indexer/v1/supervisor/<supervisorId>/resetOffsets
which accepts DataSourceMetadata as a body parameter.
- Update logs, unit tests and docs.
* Add a new interface method for backwards compatibility.
* Rename
* Adjust tests and javadocs.
* Use CoreInjectorBuilder instead of deprecated makeInjectorWithModules
* UT fix
* Doc updates.
* remove extraneous debugging logs.
* Remove the boolean setting; only ResetHandle() and resetInternal()
* Relax constraints and add a new ResetOffsetsNotice; cleanup old logic.
* A separate ResetOffsetsNotice and some cleanup.
* Minor cleanup
* Add a check & test to verify that sequence numbers are only of type SeekableStreamEndSequenceNumbers
* Add unit tests for the no op implementations for test coverage
* CodeQL fix
* checkstyle from merge conflict
* Doc changes
* DOCUSAURUS code tabs fix. Thanks, Brian!
In this PR, I have gotten rid of multiTopic parameter and instead added a topicPattern parameter. Kafka supervisor will pass topicPattern or topic as the stream name to the core ingestion engine. There is validation to ensure that only one of topic or topicPattern will be set. This new setting is easier to understand than overloading the topic field that earlier could be interpreted differently depending on the value of some other field.
This PR adds support to read from multiple Kafka topics in the same supervisor. A multi-topic ingestion can be useful in scenarios where a cluster admin has no control over input streams. Different teams in an org may create different input topics that they can write the data to. However, the cluster admin wants all this data to be queryable in one data source.
* Remove chatAsync parameter, so chat is always async.
chatAsync has been made default in Druid 26. I have seen good
battle-testing of it in production, and am comfortable removing the
older sync client.
This was the last remaining usage of IndexTaskClient, so this patch
deletes all that stuff too.
* Remove unthrown exception.
* Remove unthrown exception.
* No more TimeoutException.
This adds a new contrib extension: druid-iceberg-extensions which can be used to ingest data stored in Apache Iceberg format. It adds a new input source of type iceberg that connects to a catalog and retrieves the data files associated with an iceberg table and provides these data file paths to either an S3 or HDFS input source depending on the warehouse location.
Two important dependencies associated with Apache Iceberg tables are:
Catalog : This extension supports reading from either a Hive Metastore catalog or a Local file-based catalog. Support for AWS Glue is not available yet.
Warehouse : This extension supports reading data files from either HDFS or S3. Adapters for other cloud object locations should be easy to add by extending the AbstractInputSourceAdapter.
* Change default handoffConditionTimeout to 15 minutes.
Most of the time, when handoff is taking this long, it's because something
is preventing Historicals from loading new data. In this case, we have
two choices:
1) Stop making progress on ingestion, wait for Historicals to load stuff,
and keep the waiting-for-handoff segments available on realtime tasks.
(handoffConditionTimeout = 0, the current default)
2) Continue making progress on ingestion, by exiting the realtime tasks
that were waiting for handoff. Once the Historicals get their act
together, the segments will be loaded, as they are still there on
deep storage. They will just not be continuously available.
(handoffConditionTimeout > 0)
I believe most users would prefer [2], because [1] risks ingestion falling
behind the stream, which causes many other problems. It can cause data loss
if the stream ages-out data before we have a chance to ingest it.
Due to the way tuningConfigs are serialized -- defaults are baked into the
serialized form that is written to the database -- this default change will
not change anyone's existing supervisors. It will take effect for newly
created supervisors.
* Fix tests.
* Update docs/development/extensions-core/kafka-supervisor-reference.md
Co-authored-by: Katya Macedo <38017980+ektravel@users.noreply.github.com>
* Update docs/development/extensions-core/kinesis-ingestion.md
Co-authored-by: Katya Macedo <38017980+ektravel@users.noreply.github.com>
---------
Co-authored-by: Katya Macedo <38017980+ektravel@users.noreply.github.com>
* Claim full support for Java 17.
No production code has changed, except the startup scripts.
Changes:
1) Allow Java 17 without DRUID_SKIP_JAVA_CHECK.
2) Include the full list of opens and exports on both Java 11 and 17.
3) Document that Java 17 is both supported and preferred.
4) Switch some tests from Java 11 to 17 to get better coverage on the
preferred version.
* Doc update.
* Update errorprone.
* Update docker_build_containers.sh.
* Update errorprone in licenses.yaml.
* Add some more run-javas.
* Additional run-javas.
* Update errorprone.
* Suppress new errorprone error.
* Add exports and opens in ForkingTaskRunner for Java 11+.
Test, doc changes.
* Additional errorprone updates.
* Update for errorprone.
* Restore old fomatting in LdapCredentialsValidator.
* Copy bin/ too.
* Fix Java 15, 17 build line in docker_build_containers.sh.
* Update busybox image.
* One more java command.
* Fix interpolation.
* IT commandline refinements.
* Switch to busybox 1.34.1-glibc.
* POM adjustments, build and test one IT on 17.
* Additional debugging.
* Fix silly thing.
* Adjust command line.
* Add exports and opens one more place.
* Additional harmonization of strong encapsulation parameters.
In this PR, we are enhancing KafkaEmitter, to emit metadata about published segments (SegmentMetadataEvent) into a Kafka topic. This segment metadata information that gets published into Kafka, can be used by any other downstream services to query Druid intelligently based on the segments published. The segment metadata gets published into kafka topic in json string format similar to other events.
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
Co-authored-by: Victoria Lim <vtlim@users.noreply.github.com>
Co-authored-by: Victoria Lim <lim.t.victoria@gmail.com>
* fix typo in s3 docs. add readme to s3 module.
* Update extensions-core/s3-extensions/README.md
Co-authored-by: 317brian <53799971+317brian@users.noreply.github.com>
* cleanup readme for s3 extension and link to repo markdown doc instead of web docs
---------
Co-authored-by: 317brian <53799971+317brian@users.noreply.github.com>
Hadoop 2 often causes red security scans on Druid distribution because of the dependencies it brings. We want to move away from Hadoop 2 and provide Hadoop 3 distribution available. Switch druid to building with Hadoop 3 by default. Druid will still be compatible with Hadoop 2 and users can build hadoop-2 compatible distribution using hadoop2 profile.
* use new sampler features
* supprot kafka format
* update DQT, fix tests
* prefer non numeric formats
* fix input format step
* boost SQL data loader
* delete dimension in auto discover mode
* inline example specs
* feedback updates
* yeet the format into valueFormat when switching to kafka
* kafka format is now a toggle
* even better form layout
* rename
Expands the OIDC based auth in Druid by adding a JWT Authenticator that validates ID Tokens associated with a request. The existing pac4j authenticator works for authenticating web users while accessing the console, whereas this authenticator is for validating Druid API requests made by Direct clients. Services already supporting OIDC can attach their ID tokens to the Druid requests
under the Authorization request header.
* Hook up PodTemplateTaskAdapter
* Make task adapter TYPE parameters final
* Rename adapters types
* Include specified adapter name in exception message
* Documentation for sidecarSupport deprecation
* Fix order
* Set TASK_ID as environment variable in PodTemplateTaskAdapter (#13969)
* Update docs/development/extensions-contrib/k8s-jobs.md
Co-authored-by: Abhishek Agarwal <1477457+abhishekagarwal87@users.noreply.github.com>
* Hook up PodTemplateTaskAdapter
* Make task adapter TYPE parameters final
* Rename adapters types
* Include specified adapter name in exception message
* Documentation for sidecarSupport deprecation
* Fix order
* fix spelling errors
---------
Co-authored-by: Abhishek Agarwal <1477457+abhishekagarwal87@users.noreply.github.com>
Katya Macedo
Jan Werner
Jill Osborne
317brian
YongGang
Charles Smith
Pranav
George Shiqi Wu
John Gerassimou
Abhishek Agarwal
Clint Wylie
Abhishek Radhakrishnan
Tejaswini Bandlamudi
Kashif Faraz
George Shiqi Wu
Gian Merlino
Jaehui Lee
Atul Mohan
Jakub Matyszewski
Nhi Pham
Harini Rajendran
Andreas Maechler
Pramod Immaneni
Victoria Lim
TSFenwick
Vadim Ogievetsky
Nicholas Lippis
Rishabh Singh