- introduces a test_X method for every testcase (995 testcases)
- added a resultset parser which reads the expected resultset based on the result schema
- loaded a few more datasets
- added a testcase to ensure that all files have a corresponding testcase
- renamed DecoupledIgnore to NegativeTest
- categorized the failing 268 tests
* add a bunch of tests with array typed columns to CalciteArraysQueryTest
* fix a bug with unnest filter pushdown when filtering on unnested array columns
Instead of passing the constants around in a new parameter; InputAccessor was introduced to take care of transparently handling the constants - this new class started picking up some copy-paste debris around field accesses; and made them a little bit more readble.
The sql standard is not very restrictive regarding this:
If AVG is specified and DT is exact numeric, then the declared type of the result is an implemen-
tation-defined exact numeric type with precision not less than the precision of DT and scale not
less than the scale of DT.
so; using the same type is also ok (without patch);
however the avg of 0 and 1 is 0 right now because of the retention of the integer typ
Postgres,MySql and Oracle and Drill seem to increase precision ; mssql returns 0
http://sqlfiddle.com/#!9/6f7248/1
I think we should also increase precision as its already calculated more precisely
* Updating plans when using joins with unnest on the left
* Correcting segment map function for hashJoin
* The changes done here are not reflected into MSQ yet so these tests might not run in MSQ
* native tests
* Self joins with unnest data source
* Making this pass
* Addressing comments by adding explanation and new test
Row-based frames, and by extension, MSQ now supports numeric array types. This means that all queries consuming or producing arrays would also work with MSQ. Numeric arrays can also be ingested via MSQ. Post this patch, queries like, SELECT [1, 2] would work with MSQ since they consume a numeric array, instead of failing with an unsupported column type exception.
This change updates dependencies as needed and fixes tests to remove code incompatible with Java 21
As a result all unit tests now pass with Java 21.
* update maven-shade-plugin to 3.5.0 and follow-up to #15042
* explain why we need to override configuration when specifying outputFile
* remove configuration from dependency management in favor of explicit overrides in each module.
* update to mockito to 5.5.0 for Java 21 support when running with Java 11+
* continue using latest mockito 4.x (4.11.0) when running with Java 8
* remove need to mock private fields
* exclude incorrectly declared mockito dependency from pac4j-oidc
* remove mocking of ByteBuffer, since sealed classes can no longer be mocked in Java 21
* add JVM options workaround for system-rules junit plugin not supporting Java 18+
* exclude older versions of byte-buddy from assertj-core
* fix for Java 19 changes in floating point string representation
* fix missing InitializedNullHandlingTest
* update easymock to 5.2.0 for Java 21 compatibility
* update animal-sniffer-plugin to 1.23
* update nl.jqno.equalsverifier to 3.15.1
* update exec-maven-plugin to 3.1.0
Most of the testcases were disabled in CalciteWindowQueryTest during the Calcite-1.35 upgrade; there were some changes arising from the fact that the removal of DRUID_SUM had some unexpected sideffects:
SqlStdOperatorTable.SUM became the SUM operator
because of that SqlToRelConverter started rewriting windowed SUM -s into SUM0 -s
my opinion is that w.r.t to Druid this rewrite provides no real advantage - as SUM0 is serviced by SUM here
I believe that's not 100% correct in cases when it aggregates just null-s but that doesnt matter in this case
I propose to introduce back a local DRUID_SUM thing as an unchanged SUM and later when CALCITE-6020 is fixed ; we can drop that.
* coalesce on unnest row mismatch fix
* new example with coalesce over unnest with nested array columns
* New example with change in order which triggers the nvl
* new test plan update for useDefault=true
contains Enable already passing tests in DecoupledPlanningCalciteQueryTest #14996
enables a transpose rule to support a query plan in which the plan was in the shape:
Sort
Project
Aggregate
The aggregators had incorrect types for getResultType when shouldFinalze
is false. They had the finalized type, but they should have had the
intermediate type.
Also includes a refactor of how ExprMacroTable is handled in tests, to make
it easier to add tests for this to the MSQ module. The bug was originally
noticed because the incorrect result types caused MSQ queries with DS_HLL
to behave erratically.
These were added in #14977, but the implementations are incorrect, because they return null when the input arg is null. They should return false when the input is null. Remove them for now, rather than fixing them, since they're so new that they might as well never have existed.
This entails:
Removing the enableUnnest flag and additional machinery
Updating the datasource plan and frame processors to support unnest
Adding support in MSQ for UnnestDataSource and FilteredDataSource
CalciteArrayTest now has a MSQ test component
Additional tests for Unnest on MSQ
Currently, only the user who has submitted the async query has permission to interact with the status APIs for that async query. However, often we want an administrator to interact with these resources as well.
Druid handles these with the STATE resource traditionally, and if the requesting user has necessary permissions on it as well, alternatively, they should be allowed to interact with the status APIs, irrespective of whether they are the submitter of the query.
* Adding new function decode_base64_utf8 and expr macro
* using BaseScalarUnivariateMacroFunctionExpr
* Print stack trace in case of debug in ChainedExecutionQueryRunner
* fix static check
* Add IS [NOT] DISTINCT FROM to SQL and join matchers.
Changes:
1) Add "isdistinctfrom" and "notdistinctfrom" native expressions.
2) Add "IS [NOT] DISTINCT FROM" to SQL. It uses the new native expressions
when generating expressions, and is treated the same as equals and
not-equals when generating native filters on literals.
3) Update join matchers to have an "includeNull" parameter that determines
whether we are operating in "equals" mode or "is not distinct from"
mode.
* Main changes:
- Add ARRAY handling to "notdistinctfrom" and "isdistinctfrom".
- Include null in pushed-down filters when using "notdistinctfrom" in a join.
Other changes:
- Adjust join filter analyzer to more explicitly use InDimFilter's ValuesSets,
relying less on remembering to get it right to avoid copies.
* Remove unused "wrap" method.
* Fixes.
* Remove methods we do not need.
* Fix bug with INPUT_REF.
* SQL: Plan non-equijoin conditions as cross join followed by filter.
Druid has previously refused to execute joins with non-equality-based
conditions. This was well-intentioned: the idea was to push people to
write their queries in a different, hopefully more performant way.
But as we're moving towards fuller SQL support, it makes more sense to
allow these conditions to go through with the best plan we can come up
with: a cross join followed by a filter. In some cases this will allow
the query to run, and people will be happy with that. In other cases,
it will run into resource limits during execution. But we should at
least give the query a chance.
This patch also updates the documentation to explain how people can
tell whether their queries are being planned this way.
* cartesian is a word.
* Adjust tests.
* Update docs/querying/datasource.md
Co-authored-by: Benedict Jin <asdf2014@apache.org>
---------
Co-authored-by: Benedict Jin <asdf2014@apache.org>
This is due to the recursive filter creation in unnest storage adapter not performing correctly in case of an empty children. This PR addresses the issue
* Fix for schema mismatch to go down using the non vectorize path till we update the vectorized aggs properly
* Fixing a failed test
* Updating numericNilAgg
* Moving to use default values in case of nil agg
* Adding the same for first agg
* Fixing a test
* fixing vectorized string agg for last/first with cast if numeric
* Updating tests to remove mockito and cover the case of string first/last on non string columns
* Updating a test to vectorize
* Addressing review comments: Name change to NilVectorAggregator and using static variables now
* fixing intellij inspections
When materializing the results as frames, we defer the creation of the frames in ScanQueryQueryToolChest, which passes through the catch-all block reserved for catching cases when we don't have the complete row signature in the query (and falls back to the old code).
This PR aims to resolve it by adding the frame generation code to the try-catch block we have at the outer level.
changes:
* add back nested column v4 serializers
* 'json' schema by default still uses the newer 'nested common format' used by 'auto', but now has an optional 'formatVersion' property which can be specified to override format versions on native ingest jobs
* add system config to specify default column format stuff, 'druid.indexing.formats', and property 'druid.indexing.formats.nestedColumnFormatVersion' to specify system level preferred nested column format for friendly rolling upgrades from versions which do not support the newer 'nested common format' used by 'auto'
* update test
* update test
* format
* test
* fix0
* Revert "fix0"
This reverts commit 44992cb393.
* ok resultset
* add plan
* update test
* before rewind
* test
* fix toString/compare/test
* move test
* add timeColumn to hashCode
A new monitor SubqueryCountStatsMonitor which emits the metrics corresponding to the subqueries and their execution is now introduced. Moreover, the user can now also use the auto mode to automatically set the number of bytes available per query for the inlining of its subquery's results.
* Vectorizing earliest for numeric
* Vectorizing earliest string aggregator
* checkstyle fix
* Removing unnecessary exceptions
* Ignoring tests in MSQ as earliest is not supported for numeric there
* Fixing benchmarks
* Updating tests as MSQ does not support earliest for some cases
* Addressing review comments by adding the following:
1. Checking capabilities first before creating selectors
2. Removing mockito in tests for numeric first aggs
3. Removing unnecessary tests
* Addressing issues for dictionary encoded single string columns where we can use the dictionary ids instead of the entire string
* Adding a flag for multi value dimension selector
* Addressing comments
* 1 more change
* Handling review comments part 1
* Handling review comments and correctness fix for latest_by when the time expression need not be in sorted order
* Updating numeric first vector agg
* Revert "Updating numeric first vector agg"
This reverts commit 4291709901.
* Updating code for correctness issues
* fixing an issue with latest agg
* Adding more comments and removing an unnecessary check
* Addressing null checks for tie selector and only vectorize false for quantile sketches
Changes:
- Make ServiceMetricEvent.Builder extend ServiceEventBuilder<ServiceMetricEvent>
and thus convert it to a plain builder rather than a builder of builder.
- Add methods setCreatedTime , setMetricAndValue to the builder
Zoltan Haindrich
Clint Wylie
Laksh Singla
Soumyava
Pranav
Xavier Léauté
Gian Merlino
Suneet Saldanha
Kashif Faraz