This test was failing to authenticate using the admin credentials. These
should be available by default in the metadata store. This indicates that
the credentials are not successfully being syncd before the test is run.
This change increases the number of retries to 20 so that the services
are syncd before the test runs
* Fail superbatch range partition multi dim values
Change the behavior of parallel indexing range partitioning to fail
ingestion if any row had multiple values for the partition dimension.
After this change, the behavior matches that of hadoop indexing.
(Previously, rows with multiple dimension values would be skipped.)
* Improve err msg, rename method, rename test class
* Fix NPE for subquery with limit
* Mark it as unplannable by returning null
* Migrate testcases from SqlResourceTest to CalciteQueryTest
* Throw CannotBuildQueryException
* Fix typo
* Patch 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
* Allow startup scripts to specify java home
The startup scripts now look for java in 3 locations. The order is from
most related to druid to least, ie
${DRUID_JAVA_HOME}
${JAVA_HOME}
${PATH}
* Update fn names and clean up code
* final round of fixes
* fix spellcheck
* HRTR: make pending task execution handling to go through all tasks on
not finding worker slots
* make HRTR methods package private that are meant to be used only in HttpRemoteTaskRunnerResource
* mark HttpRemoteTaskRunnerWorkItem.State global variables final
* hrtr: move immutableWorker NULL check outside of try-catch or finally block could have NPE
* add some explanatory comments
* add comment on explaining mechanics around hand off of pending tasks from submission to it getting picked up by a task execution thread
* fix spelling
It is currently not possible to unset the druid.host property in the docker image to let Druid default to the canonical hostname. It always gets set to the container's IP address. Passing the override environment variable druid_host= unfortunately does not solve the problem, as this gets interpreted as empty string and does not let the default kick in.
This change adds the option to pass DRUID_SET_HOST=0 as environment variable to disable the default behavior, and allows passing a common runtime.properties file without druid.host.
* Parallel indexing single dim partitions
Implements single dimension range partitioning for native parallel batch
indexing as described in #8769. This initial version requires the
druid-datasketches extension to be loaded.
The algorithm has 5 phases that are orchestrated by the supervisor in
`ParallelIndexSupervisorTask#runRangePartitionMultiPhaseParallel()`.
These phases and the main classes involved are described below:
1) In parallel, determine the distribution of dimension values for each
input source split.
`PartialDimensionDistributionTask` uses `StringSketch` to generate
the approximate distribution of dimension values for each input
source split. If the rows are ungrouped,
`PartialDimensionDistributionTask.UngroupedRowDimensionValueFilter`
uses a Bloom filter to skip rows that would be grouped. The final
distribution is sent back to the supervisor via
`DimensionDistributionReport`.
2) The range partitions are determined.
In `ParallelIndexSupervisorTask#determineAllRangePartitions()`, the
supervisor uses `StringSketchMerger` to merge the individual
`StringSketch`es created in the preceding phase. The merged sketch is
then used to create the range partitions.
3) In parallel, generate partial range-partitioned segments.
`PartialRangeSegmentGenerateTask` uses the range partitions
determined in the preceding phase and
`RangePartitionCachingLocalSegmentAllocator` to generate
`SingleDimensionShardSpec`s. The partition information is sent back
to the supervisor via `GeneratedGenericPartitionsReport`.
4) The partial range segments are grouped.
In `ParallelIndexSupervisorTask#groupGenericPartitionLocationsPerPartition()`,
the supervisor creates the `PartialGenericSegmentMergeIOConfig`s
necessary for the next phase.
5) In parallel, merge partial range-partitioned segments.
`PartialGenericSegmentMergeTask` uses `GenericPartitionLocation` to
retrieve the partial range-partitioned segments generated earlier and
then merges and publishes them.
* Fix dependencies & forbidden apis
* Fixes for integration test
* Address review comments
* Fix docs, strict compile, sketch check, rollup check
* Fix first shard spec, partition serde, single subtask
* Fix first partition check in test
* Misc rewording/refactoring to address code review
* Fix doc link
* Split batch index integration test
* Do not run parallel-batch-index twice
* Adjust last partition
* Split ITParallelIndexTest to reduce runtime
* Rename test class
* Allow null values in range partitions
* Indicate which phase failed
* Improve asserts in tests
* add customize separator for TSV inputFormat
* fix spotbug
* code refactor
* code refactor
* add argument check for delimiter
* refine null check
* add check for delimiter and listdelimiter can not be same
* add unit tests
* update web-console data loader to support unified s3 and google input source
* fixes
* add placeholder for objects
* only show objects if it already exists
Vadim Ogievetsky
Benedict Jin
Fangjin Yang
Chi Cao Minh
Gian Merlino
Clint Wylie
Jihoon Son
Suneet Saldanha
Jonathan Wei
Vadim Ogievetsky
Fangyuan Deng
Himanshu
Xavier Léauté
Benjamin Hopp
Parag Jain
Rye
Roman Leventov