Changes:
- Do not allow retention rules for any datasource or cluster to be null
- Allow empty rules at the datasource level but not at the cluster level
- Add validation to ensure that `druid.manager.rules.defaultRule` is always set correctly
- Minor style refactors
* fix issues with filtering nulls on values coerced to numeric types
* fix issues with 'auto' type numeric columns in default value mode
* optimize variant typed columns without nested data
* more tests for 'auto' type column ingestion
This PR fixes an issue that could occur if druid.query.scheduler.numThreads is configured and any exception occurs after QueryScheduler.run has been called to create a Sequence. This would result in total and/or lane specific locks being acquired, but because the sequence was not actually being evaluated, the "baggage" which typically releases these locks was not being executed. An example of how this can happen is if a group-by having filter, which wraps and transforms this sequence happens to explode while wrapping the sequence. The end result is that the locks are acquired, but never released, eventually halting the ability to execute any queries.
We have seen that the first-time users often don't know the next steps if druid services are unresponsive for some reason. This PR makes some of those messages a bit more clear.
In StreamChunkParser#parseWithInputFormat, we call byteEntityReader.read() without handling a potential ParseException, which is thrown during this function call by the delegate AvroStreamReader#intermediateRowIterator.
A ParseException can be thrown if an Avro stream has corrupt data or data that doesn't conform to the schema specified or for other decoding reasons. This exception if uncaught, can cause ingestion to fail.
This PR fixes an issue when using 'auto' encoded LONG typed columns and the 'vectorized' query engine. These columns use a delta based bit-packing mechanism, and errors in the vectorized reader would cause it to incorrectly read column values for some bit sizes (1 through 32 bits). This is a regression caused by #11004, which added the optimized readers to improve performance, so impacts Druid versions 0.22.0+.
While writing the test I finally got sad enough about IndexSpec not having a "builder", so I made one, and switched all the things to use it. Apologies for the noise in this bug fix PR, the only real changes are in VSizeLongSerde, and the tests that have been modified to cover the buggy behavior, VSizeLongSerdeTest and ExpressionVectorSelectorsTest. Everything else is just cleanup of IndexSpec usage.
* Make LoggingEmitter more useful
* Skip code coverage for facade classes
* fix spellcheck
* code review
* fix dependency
* logging.md
* fix checkstyle
* Add back jacoco version to main pom
* If a worker dies after it has finished generating results, MSQ decides to not retry it as it has no active work orders. However, since we don't keep track of it further, if it is required for a future stage, the controller hangs waiting for the worker to be ready. This PR keeps tracks of any workers the controller decides to not restart immediately and while starting workers for the next stage, queues these workers for retry.
* TimeBoundary: Use cursor when datasource is not a regular table.
Fixes a bug where TimeBoundary could return incorrect results with
INNER Join or inline data.
* Addl Javadocs.
* 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
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Co-authored-by: 317brian <53799971+317brian@users.noreply.github.com>
