Changes:
- Use error code `internalServerError` for failures of this type
- Remove the error code argument from `InternalServerError.exception()` methods
thus fixing a bug in the callers.
During ingestion, incremental segments are created in memory for the different time chunks and persisted to disk when certain thresholds are reached (max number of rows, max memory, incremental persist period etc). In the case where there are a lot of dimension and metrics (1000+) it was observed that the creation/serialization of incremental segment file format for persistence and persisting the file took a while and it was blocking ingestion of new data. This affected the real-time ingestion. This serialization and persistence can be parallelized across the different time chunks. This update aims to do that.
The patch adds a simple configuration parameter to the ingestion tuning configuration to specify number of persistence threads. The default value is 1 if it not specified which makes it the same as it is today.
* Fix k8sAndWorker mode in a zookeeper-less environment
* add unit test
* code reformat
* minor refine
* change to inject Provider
* correct style
* bind HttpRemoteTaskRunnerFactory as provider
* change to bind on TaskRunnerFactory
* fix styling
* Reverse lookup fixes and enhancements.
1) Add a "mayIncludeUnknown" parameter to DimFilter#optimize. This is important
because otherwise the reverse-lookup optimization is done improperly when
the "in" filter appears under a "not", and the lookup extractionFn may return
null for some possible values of the filtered column. The "includeUnknown" test
cases in InDimFilterTest illustrate the difference in behavior.
2) Enhance InDimFilter#optimizeLookup to handle "mayIncludeUnknown", and to be able
to do a reverse lookup in a wider variety of cases.
3) Make "unapply" protected in LookupExtractor, and move callers to "unapplyAll".
The main reason is that MapLookupExtractor, a common implementation, lacks a
reverse mapping and therefore does a scan of the map for each call to "unapply".
For performance sake these calls need to be batched.
* Remove optimize call from BloomDimFilter.
* Follow the law.
* Fix tests.
* Fix imports.
* Switch function.
* Fix tests.
* More tests.
* unpin snakeyaml globally, add suppressions and licenses
* pin snakeyaml in the specific modules that require version 1.x, update licenses and owasp suppression
This removes the pin of the Snakeyaml introduced in: https://github.com/apache/druid/pull/14519
After the updates of io.kubernetes.java-client and io.confluent.kafka-clients, the only uses of the Snakeyaml 1.x are:
- in test scope, transitive dependency of jackson-dataformat-yaml🫙2.12.7
- in compile scope in contrib extension druid-cassandra-storage
- in compile scope in it-tests.
With the dependency version un-pinned, io.kubernetes.java-client and io.confluent.kafka-clients bring Snakeyaml versions 2.0 and 2.2, consequently allowing to build a Druid distribution without the contrib-extension and free of vulnerable Snakeyaml versions.
* 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
* Separate k8s and druid task lifecycles
* Remove extra log lines
* Fix unit tests
* fix unit tests
* Fix unit tests
* notify listeners on task completion
* Fix unit test
* unused var
* PR changes
* Fix unit tests
* Fix checkstyle
* PR changes
This change updates dependencies as needed and fixes tests to remove code incompatible with Java 21
As a result all unit tests now pass with Java 21.
* update maven-shade-plugin to 3.5.0 and follow-up to #15042
* explain why we need to override configuration when specifying outputFile
* remove configuration from dependency management in favor of explicit overrides in each module.
* update to mockito to 5.5.0 for Java 21 support when running with Java 11+
* continue using latest mockito 4.x (4.11.0) when running with Java 8
* remove need to mock private fields
* exclude incorrectly declared mockito dependency from pac4j-oidc
* remove mocking of ByteBuffer, since sealed classes can no longer be mocked in Java 21
* add JVM options workaround for system-rules junit plugin not supporting Java 18+
* exclude older versions of byte-buddy from assertj-core
* fix for Java 19 changes in floating point string representation
* fix missing InitializedNullHandlingTest
* update easymock to 5.2.0 for Java 21 compatibility
* update animal-sniffer-plugin to 1.23
* update nl.jqno.equalsverifier to 3.15.1
* update exec-maven-plugin to 3.1.0
This change is meant to fix a issue where passing too large of a task payload to the mm-less task runner will cause the peon to fail to startup because the payload is passed (compressed) as a environment variable (TASK_JSON). In linux systems the limit for a environment variable is commonly 128KB, for windows systems less than this. Setting a env variable longer than this results in a bunch of "Argument list too long" errors.
The KubernetesAndWorkerTaskRunner currently doesn't implement getTaskLocation, so tasks run by it will show a unknown TaskLocation in the druid console after a task has completed.
Fix bug in KubernetesAndWorkerTaskRunner that manifests as missing information in the druid Web Console.
* K8s tasks restore should be from lifecycle start
* add test
* add more tests
* fix test
* wait tasks restore finish when start
* fix style
* revert previous change and add comment
* 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>
Changes:
- Simplify static `create` methods for `NoopTask`
- Remove `FirehoseFactory`, `IsReadyResult`, `readyTime` from `NoopTask`
as these fields were not being used anywhere
- Update tests
Changes:
- Make ServiceMetricEvent.Builder extend ServiceEventBuilder<ServiceMetricEvent>
and thus convert it to a plain builder rather than a builder of builder.
- Add methods setCreatedTime , setMetricAndValue to the builder
Changes:
- Fix capacity response in mm-less ingestion.
- Add field usedClusterCapacity to the GET /totalWorkerCapacity response.
This API should be used to get the total ingestion capacity on the overlord.
- Remove method `isK8sTaskRunner` from interface `TaskRunner`
Currently, Druid is using Guava 16.0.1 version. This upgrade to 31.1-jre fixes the following issues.
CVE-2018-10237 (Unbounded memory allocation in Google Guava 11.0 through 24.x before 24.1.1 allows remote attackers to conduct denial of service attacks against servers that depend on this library and deserialize attacker-provided data because the AtomicDoubleArray class (when serialized with Java serialization) and the CompoundOrdering class (when serialized with GWT serialization) perform eager allocation without appropriate checks on what a client has sent and whether the data size is reasonable). We don't use Java or GWT serializations. Despite being false positive they're causing red security scans on Druid distribution.
Latest version of google-client-api is incompatible with the existing Guava version. This PR unblocks Update google client apis to latest version #14414
Changes:
* Add and invoke `StateListener` when state changes in `KubernetesPeonLifecycle`
* Report `task/pending/time` metric in `KubernetesTaskRunner` when state moves to RUNNING
Changes:
- Fix race condition in KubernetesTaskRunner introduced by #14435
- Perform addition and removal from map inside a synchronized block
- Update tests
Apache Druid brings multiple direct and transitive dependencies that are affected by plethora of CVEs.
This PR attempts to update all the dependencies that did not require code refactoring.
This PR modifies pom files, license file and OWASP Dependency Check suppression file.
Adithya Chakilam
Suneet Saldanha
YongGang
Adarsh Sanjeev
Sensor
Kashif Faraz
George Shiqi Wu
Pramod Immaneni
Karan Kumar
Gian Merlino
Jan Werner
Laksh Singla
Xavier Léauté
George Shiqi Wu
Tejaswini Bandlamudi
Rishabh Singh
AmatyaAvadhanula