* Globally disable AUTO_CLOSE_JSON_CONTENT.
This JsonGenerator feature is on by default. It causes problems with code
like this:
try (JsonGenerator jg = ...) {
jg.writeStartArray();
for (x : xs) {
jg.writeObject(x);
}
jg.writeEndArray();
}
If a jg.writeObject call fails due to some problem with the data it's
reading, the JsonGenerator will write the end array marker automatically
when closed as part of the try-with-resources. If the generator is writing
to a stream where the reader does not have some other mechanism to realize
that an exception was thrown, this leads the reader to believe that the
array is complete when it actually isn't.
Prior to this patch, we disabled AUTO_CLOSE_JSON_CONTENT for JSON-wrapped
SQL result formats in #11685, which fixed an issue where such results
could be erroneously interpreted as complete. This patch fixes a similar
issue with task reports, and all similar issues that may exist elsewhere,
by disabling the feature globally.
* Update test.
Apache Druid brings the dependency json-path which is affected by CVE-2023-51074.
Its latest version 2.9.0 fixes the above CVE.
Append function has been added to json-path and so the unit test to check for the append function not present has been updated.
---------
Co-authored-by: Xavier Léauté <xvrl@apache.org>
* thrust of the fix to allow for the json values to be out of order
The existing problem is that toMap doesn't turn some values into json primitive
values, for example segmentMetadata just has DateTime objects for it's time in
the EventMap, but Alert event converts those into strings when calling toMap.
This creates an issue because when we check the emitted events the mapper
deserializing the string value for dateTime leaves it as a string in the
EventMap. So the question is do we alter the events toMap() to return string/map
version of objects or to make the expected events do a round trip of
eventMap -> string -> eventMap to turn everything into json primitives
* fix issue by making toMap events convert Objects into strings, or maps
* fix linting errors
* use method of using mapper to round trip expected data to make it have same type
as those of the events emitted
* remove unnecessary comment
* Address review comment: add test javadocs
* Fix flaky assertion failure.
Use ConcurrentHashMap instead of HashMap because the producer callback
can trigger concurrently and override the map initialization.
* fixup intellij inspection
Starting the process to officially deprecate non SQL compatible modes by updating docs to aggressively call out that Druids non SQL compliant modes are deprecated and will go away someday. There are no code or behavior changes at this PR.
* Rework ExprMacro base classes to simplify implementations.
This patch removes BaseScalarUnivariateMacroFunctionExpr, adds
BaseMacroFunctionExpr at the top of the hierarchy (a suitable base class
for ExprMacros that take either arrays or scalars), and adds an
implementation for "visit" to BaseMacroFunctionExpr.
The effect on implementations is generally cleaner code:
- Exprs no longer need to implement "visit".
- Exprs no longer need to implement "stringify", even if they don't
use all of their args at runtime, because BaseMacroFunctionExpr has
access to even unused args.
- Exprs that accept arrays can extend BaseMacroFunctionExpr and
inherit a bunch of useful methods. The only one they need to
implement themselves that scalar exprs don't is "supplyAnalyzeInputs".
* Make StringDecodeBase64UTFExpression a static class.
* Remove unused import.
* Formatting, annotation changes.
Merging the work so far. @ektravel , @vogievetsky if there are additional improvements, let's track them & make another pr.
* Refactor streaming ingestion docs
* Update property definition
* Update after review
* Update known issues
* Move kinesis and kafka topics to ingestion, add redirects
* Saving changes
* Saving
* Add input format text
* Update after review
* Minor text edit
* Update example syntax
* Revert back to colon
* Fix merge conflicts
* Fix broken links
* Fix spelling error
* Clean up kafka emitter tests a bit and add more validations.
The test wasn't validating what events were sent, but simply the dropped counters, which
aren't that useful.
Additionally, this module has fewer tests, so folks often run into code coverage issue
in this extension. Hopefully this change helps with that too.
* Change things to feed-based rather than topic-based.
* Another test for shared topic
* Switch to DruidException, add test dependencies and sad path config tests.
* missing test dependency
* minor renames.
* Add more tests - to test unknown events and drop when queue is full
This PR contains a portion of the changes from the inactive draft PR for integrating the catalog with the Calcite planner https://github.com/apache/druid/pull/13686 from @paul-rogers, extending the PARTITION BY clause to accept string literals for the time partitioning
* allow for kafka-emitter to have extra dimensions be set for each event it emits
* fix checktsyle issue in kafkaemitterconfig
* make changes to fix docs, and cleanup copy paste error in #toString()
* undo formatting to markdown table
* add more branches so test passes
* fix checkstyle issue
Executing single value correlated queries will throw an exception today since single_value function is not available in druid.
With these added classes, this provides druid, the capability to plan and run such queries.
* Update the group id to org.apache.druid.extensions.contrib for contrib exts.
* Note iceberg and delta lake extensions in extensions.md
* properties and shell backticks
* Update groupId in distribution/pom.xml
* remove delta-lake from dist.
* Add note on downloading extension.
* Fix HllSketchHolderObjectStrategy#isSafeToConvertToNullSketch.
The prior code from #15162 was reading only the low-order byte of an int
representing the size of a coupon set. As a result, it would erroneously
believe that a coupon set with a multiple of 256 elements was empty.
Fixes an oversight after #14542 that happens in the SQL planner rewrite of MV_CONTAINS and MV_OVERLAP when faced with array elements that are NULL, where we were incorrectly using EqualityFilter instead of NullFilter for null elements (EqualityFilter does not accept null elements).
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.
This patch bumps Delta Lake Kernel dependency from 3.0.0 to 3.1.0, which released last week - please see https://github.com/delta-io/delta/releases/tag/v3.1.0 for release notes.
There were a few "breaking" API changes in 3.1.0, you can find the rationale for some of those changes here.
Next-up in this extension: add and expose filter predicates.
If lots of keys map to the same value, reversing a LOOKUP call can slow
things down unacceptably. To protect against this, this patch introduces
a parameter sqlReverseLookupThreshold representing the maximum size of an
IN filter that will be created as part of lookup reversal.
If inSubQueryThreshold is set to a smaller value than
sqlReverseLookupThreshold, then inSubQueryThreshold will be used instead.
This allows users to use that single parameter to control IN sizes if they
wish.
* Identify not range filters without negating subexpressions
Earlier betweenish (range/bounds) filters were identified thru
a process of negating the subexpressions which may have not performed that well.
(it could have dominated the runtime in some cases)
This patch makes that unnecessary as its able to create the negate expression directly.
* add test;fix for multiple intervals
This PR wires up ValueIndexes and ArrayElementIndexes for nested arrays, ValueIndexes for nested long and double columns, and fixes a handful of bugs I found after adding nested columns to the filter test gauntlet.
PassthroughAggregatorFactory overrides a deprecated method in the AggregatorFactory, on which it relies on for serializing one of its fields complexTypeName. This was accidentally removed, leading to a bug in the factory, where the type name doesn't get serialized properly, and places null in the type name. This PR revives that method with a different name and adds tests for the same.
Proposal #13469
Original PR #14024
A new method is being added in QueryLifecycle class to authorise a query based on authentication result.
This method is required since we authenticate the query by intercepting it in the grpc extension and pass down the authentication result.
introduce checks to ensure that window frame is supported
added check to ensure that no expressions are set as bounds
added logic to detect following/following like cases - described in Window function fails to demarcate if 2 following are used #15739
currently RANGE frames are only supported correctly if both endpoints are unbounded or current row Offset based window range support #15767
added windowingStrictValidation context key to provide a way to override the check
Laksh Singla
George Shiqi Wu
Adarsh Sanjeev
Gian Merlino
Clint Wylie
Vadim Ogievetsky
Parth Agrawal
Tom
317brian
YongGang
Abhishek Radhakrishnan
Sam Rash
Peter Marshall
Katya Macedo
Charles Smith
zachjsh
Vishesh Garg
Lasse Mammen
Sree Charan Manamala
Soumyava
Bartosz Mikulski
Zoltan Haindrich
Pramod Immaneni
Sam Wheating
Rishabh Singh
Atul Mohan
Aru Raghuwanshi