Update suggested segment-cache path, Allow for per-service serviceAccounts in druid helm chart and finer-grained RBAC, and add a default annotation to historical statefulset.
* docs: add juptyer API tutorial for API and jupyter tutorial index (#3)
(cherry picked from commit aeb8d9e3390fa26d9c533dce0862295b80c58583)
* update prereqs and fix jupyterlab name
* Removing notebook since 13345 has it
13345 should be merged first
* update contributing instructions
* docs: link to the Druid SQL tutorial
* Add link to partitioning
* fix merge conflict
* Saving
* Update docs/tutorials/tutorial-jupyter-index.md
* Remove partitioning
---------
Co-authored-by: 317brian <53799971+317brian@users.noreply.github.com>
Co-authored-by: brian.le <brian.le@imply.io>
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
If the intermediate handoff period is less than the task duration and there is no new data in the input topic, task will continuously checkpoint the same offsets again and again. This PR fixes that bug by resetting the checkpoint time even when the task receives the same end offset request again.
Create the docker image in case of maven dependencies cache restore failure too as env.sh file is removed on maven rebuild.
Increase java heap size for security IT failing with error
* Speed up composite key joins on IndexedTable.
Prior to this patch, IndexedTable indexes are sorted IntList. This works
great when we have a single-column join key: we simply retrieve the list
and we know what rows match. However, when we have a composite key, we
need to merge the sorted lists. This is inefficient when one is very dense
and others are very sparse.
This patch switches from sorted IntList to IntSortedSet, and changes
to the following intersection algorithm:
1) Initialize the intersection set to the smallest matching set from the
various parts of the composite key.
2) For each element in that smallest set, check other sets for that element.
If any do *not* include it, then remove the element from the intersection
set.
This way, complexity scales with the size of the smallest set, not the
largest one.
* RangeIntSet stuff.
* merge druid-core, extendedset, and druid-hll into druid-processing to simplify everything
* fix poms and license stuff
* mockito is evil
* allow reset of JvmUtils RuntimeInfo if tests used static injection to override
* Don't run UTs, ITs for docs, helm and console changes
* Test
* right place
* Revert test
* Remove ITs from ignore list
* Update unit-and-integration-tests-unified.yml
* Update unit-and-integration-tests-unified.yml
This adds an autolabeler GitHub action that will label any changes to the docs directories (docs and the Jupyter nb directory) as Area - Documentation.
The GHA will also remove the label if the PR changes and no longer touches files in those directories.
* Better sidecar support
* remove un-thrown exception from test
* Druid you are such a stickler about spelling :)
* Only require the primaryContainerName, no need to exclude containers
Without perl 5 I was unable to start druid using the instructions in the quickstart guide. I'm not certain what versions it might require, but the one that I got working was perl 5
> This is perl 5, version 36, subversion 0 (v5.36.0) built for x86_64-linux-thread-multi
* fix array_agg to work with complex types and bugs with expression aggregator complex array handling
* more consistent handling of array expressions, numeric arrays more consistently honor druid.generic.useDefaultValueForNull, fix array_ordinal sql output type
### Description
This change adds a new config property `druid.sql.planner.operatorConversion.denyList`, which allows a user to specify
any operator conversions that they wish to disallow. A user may want to do this for a number of reasons, including security concerns. The default value of this property is the empty list `[]`, which does not disallow any operator conversions.
An example usage of this property is `druid.sql.planner.operatorConversion.denyList=["extern"]`, which disallows the usage of the `extern` operator conversion. If the property is configured this way, and a user of the Druid cluster tries to submit a query that uses the `extern` function, such as the example given [here](https://druid.apache.org/docs/latest/multi-stage-query/examples.html#insert-with-no-rollup), a response with http response code `400` is returned with en error body similar to the following:
```
{
"taskId": "4ec5b0b6-fa9b-4c3a-827d-2308294e9985",
"state": "FAILED",
"error": {
"error": "Plan validation failed",
"errorMessage": "org.apache.calcite.runtime.CalciteContextException: From line 28, column 5 to line 32, column 5: No match found for function signature EXTERN(<CHARACTER>, <CHARACTER>, <CHARACTER>)",
"errorClass": "org.apache.calcite.tools.ValidationException",
"host": null
}
}
```
* rebuild maven project or docker image in case of cache hit miss
* rebuild maven project in case of docker cache hit miss too
* fix docker-restore cache hit fail issue
* Allow users to add additional metadata to ingestion metrics
When submitting an ingestion spec, users may pass a map of metadata
in the ingestion spec config that will be added to ingestion metrics.
This will make it possible for operators to tag metrics with other
metadata that doesn't necessarily line up with the existing tags
like taskId.
Druid clusters that ingest these metrics can take advantage of the
nested data columns feature to process this additional metadata.
* rename to tags
* docs
* tests
* fix test
* make code cov happy
* checkstyle
Win Min Soe
Elliott Freis
Jason Witkowski
Abhishek Radhakrishnan
hqx871
benkrug
Paul Rogers
Katya Macedo
Adarsh Sanjeev
Abhishek Agarwal
Kashif Faraz
317brian
zachjsh
Clint Wylie
Lucas Capistrant
Tejaswini Bandlamudi
Gian Merlino
Vadim Ogievetsky
Suneet Saldanha
서재권(Data Platform)
Churro
Guy ☀️ Moore
Anshu Makkar