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
* Use an HllSketchHolder object to enable optimized merge
HllSketchAggregatorFactory.combine had been implemented using a
pure pair-wise, "make a union -> add 2 things to union -> get sketch"
algorithm. This algorithm does 2 things that was CPU
1) The Union object always builds an HLL_8 sketch regardless of the
target type. This means that when the target type is not HLL_8, we
spent CPU cycles converting to HLL_8 and back over and over again
2) By throwing away the Union object and converting back to the
HllSketch only to build another Union object, we do lots and lots
of copy+conversions of the HllSketch
This change introduces an HllSketchHolder object which can hold onto
a Union object and delay conversion back into an HllSketch until
it is actually needed. This follows the same pattern as the
SketchHolder object for theta sketches.
changes:
* modified druid schema column type compution to special case COMPLEX<json> handling to choose COMPLEX<json> if any column in any segment is COMPLEX<json>
* NestedFieldVirtualColumn can now work correctly on any type of column, returning either a column selector if a root path, or nil selector if not
* fixed a random bug with NilVectorSelector when using a vector size larger than the default and druid.generic.useDefaultValueForNull=false would have the nulls vector set to all false instead of true
* fixed an overly aggressive check in ExprEval.ofType when handling complex types which would try to treat any string as base64 without gracefully falling back if it was not in fact base64 encoded, along with special handling for complex<json>
* added ExpressionVectorSelectors.castValueSelectorToObject and ExpressionVectorSelectors.castObjectSelectorToNumeric as convience methods to cast vector selectors using cast expressions without the trouble of constructing an expression. the polymorphic nature of the non-vectorized engine (and significantly larger overhead of non-vectorized expression processing) made adding similar methods for non-vectorized selectors less attractive and so have not been added at this time
* fix inconsistency between nested column indexer and serializer in handling values (coerce non primitive and non arrays of primitives using asString)
* ExprEval best effort mode now handles byte[] as string
* added test for ExprEval.bestEffortOf, and add missing conversion cases that tests uncovered
* more tests more better
* Fallback virtual column
This virtual columns enables falling back to another column if
the original column doesn't exist. This is useful when doing
column migrations and you have some old data with column X,
new data with column Y and you want to use Y if it exists, X
otherwise so that you can run a consistent query against all of
the data.
With fault tolerance enabled in MSQ, not all the work orders might be populated if the worker is restarted. In case it gets the request for cleaning up the stage which is not present in the worker's map, it can throw an NPE. Added a check to ensure that the stage is present in the map before cleaning it up, or else logging it as a warning.
Merging regardless of nit since topic is in better shape.
* refresh the update data tutorial
* Apply suggestions from code review
Co-authored-by: Jill Osborne <jill.osborne@imply.io>
---------
Co-authored-by: Jill Osborne <jill.osborne@imply.io>
* Fix lookup docs
* Fix spelling
* Apply suggestions from code review
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
---------
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
Clint Wylie
Paul Rogers
Guy ☀️ Moore
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Tejaswini Bandlamudi
Anshu Makkar
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Suneet Saldanha
Adarsh Sanjeev
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Jason Witkowski
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Rohan Garg
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Laksh Singla
Elliott Freis
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Churro
Kashif Faraz
Victoria Lim
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