* fix issue with auto column grouping
changes:
* fixes bug where AutoTypeColumnIndexer reports incorrect cardinality, allowing it to incorrectly use array grouper algorithm for realtime queries producing incorrect results for strings
* fixes bug where auto LONG and DOUBLE type columns incorrectly report not having null values, resulting in incorrect null handling when grouping
* fix test
* Altered `QueryTestBuilder` to be able to switch to a backing quidem test
* added a small crc to ensure that the shadow testcase does not deviate from the original one
* Packaged all decoupled related things into a a single `DecoupledExtension` to reduce copy-paste
* `DecoupledTestConfig#quidemReason` must describe why its being used
* `DecoupledTestConfig#separateDefaultModeTest` can be used to make multiple case files based on `NullHandling` state
* fixed a cosmetic bug during decoupled join translation
* enhanced `!druidPlan` to report the final logical plan in non-decoupled mode as well
* add check to ensure that only supported params are present in a druidtest uri
* enabled shadow testcases for previously disabled testcases
* Add SQL DIV function.
This function has been documented for some time, but lacked a binding,
so it wasn't usable.
* Add a case with two expression inputs.
* Fix ExpressionPredicateIndexSupplier numeric replace-with-default behavior.
In replace-with-default mode, null numeric values from the index should be
interpreted as zeroes by expressions. This makes the index supplier more
consistent with the behavior of the selectors created by the expression
virtual column.
* Fix test case.
This PR updates CompactionTask to not load any lookups by default, unless transformSpec is present.
If transformSpec is present, we will make the decision based on context values, loading all lookups by default. This is done to ensure backward compatibility since transformSpec can reference lookups.
If transform spec is not present and no context value is passed, we donot load any lookup.
This behavior can be overridden by supplying lookupLoadingMode and lookupsToLoad in the task context.
* Speed up SQL IN using SCALAR_IN_ARRAY.
Main changes:
1) DruidSqlValidator now includes a rewrite of IN to SCALAR_IN_ARRAY, when the size of
the IN is above inFunctionThreshold. The default value of inFunctionThreshold
is 100. Users can restore the prior behavior by setting it to Integer.MAX_VALUE.
2) SearchOperatorConversion now generates SCALAR_IN_ARRAY when converting to a regular
expression, when the size of the SEARCH is above inFunctionExprThreshold. The default
value of inFunctionExprThreshold is 2. Users can restore the prior behavior by setting
it to Integer.MAX_VALUE.
3) ReverseLookupRule generates SCALAR_IN_ARRAY if the set of reverse-looked-up values is
greater than inFunctionThreshold.
* Revert test.
* Additional coverage.
* Update docs/querying/sql-query-context.md
Co-authored-by: Benedict Jin <asdf2014@apache.org>
* New test.
---------
Co-authored-by: Benedict Jin <asdf2014@apache.org>
Custom calcite rule mimicking AggregateProjectMergeRule to extend support to expressions.
The current calcite rule return null in such cases.
In addition, this removes the redundant references.
MSQ sorts the columns in a highly specialized manner by byte comparisons. As such the values are serialized differently. This works well for the primitive types and primitive arrays, however complex types cannot be serialized specially.
This PR adds the support for sorting the complex columns by deserializing the value from the field and comparing it via the type strategy. This is a lot slower than the byte comparisons, however, it's the only way to support sorting on complex columns that can have arbitrary serialization not optimized for MSQ.
The primitives and the arrays are still compared via the byte comparison, therefore this doesn't affect the performance of the queries supported before the patch. If there's a sorting key with mixed complex and primitive/primitive array types, for example: longCol1 ASC, longCol2 ASC, complexCol1 DESC, complexCol2 DESC, stringCol1 DESC, longCol3 DESC, longCol4 ASC, the comparison will happen like:
longCol1, longCol2 (ASC) - Compared together via byte-comparison, since both are byte comparable and need to be sorted in ascending order
complexCol1 (DESC) - Compared via deserialization, cannot be clubbed with any other field
complexCol2 (DESC) - Compared via deserialization, cannot be clubbed with any other field, even though the prior field was a complex column with the same order
stringCol1, longCol3 (DESC) - Compared together via byte-comparison, since both are byte comparable and need to be sorted in descending order
longCol4 (ASC) - Compared via byte-comparison, couldn't be coalesced with the previous fields as the direction was different
This way, we only deserialize the field wherever required
* Altered `QueryTestBuilder` to be able to switch to a backing quidem test
* added a small crc to ensure that the shadow testcase does not deviate from the original one
* Packaged all decoupled related things into a a single `DecoupledExtension` to reduce copy-paste
* `DecoupledTestConfig#quidemReason` must describe why its being used
* `DecoupledTestConfig#separateDefaultModeTest` can be used to make multiple case files based on `NullHandling` state
* fixed a cosmetic bug during decoupled join translation
* enhanced `!druidPlan` to report the final logical plan in non-decoupled mode as well
* add check to ensure that only supported params are present in a druidtest uri
* enabled shadow testcases for previously disabled testcases
* enable quidem uri support for `druidtest:///?ComponentSupplier=Nested` and similar
* changes the way `SqlTestFrameworkConfig` is being applied; all options will have their own annotation (its kinda impossible to detect that an annotation has a set value or its the default)
* enables hierarchical processing of config annotation (was needed to enable class level supplier annotation)
* moves uri processing related string2config stuff into `SqlTestFrameworkConfig`
With this PR changes, MSQ tasks (MSQControllerTask and MSQWorkerTask) only load the required lookups during querying and ingestion, based on the value of CTX_LOOKUPS_TO_LOAD key in the query context.
* Add native filter conversion for SCALAR_IN_ARRAY.
Main changes:
1) Add an implementation of "toDruidFilter" in ScalarInArrayOperatorConversion.
2) Split up Expressions.literalToDruidExpression into two functions, so the first
half (literalToExprEval) can be used by ScalarInArrayOperatorConversion to more
efficiently create the list of match values.
* Fix type in time arithmetic conversion.
* Test updates.
* Update test cases to use null instead of '' in default-value mode.
* Switch test from msqIncompatible to compatible with a different result.
* Update one more test.
* Fix test.
* Update tests.
* Use ExprEvalWrapper to differentiate between empty string and null.
* Fix tests some more.
* Fix test.
* Additional comment.
* Style adjustment.
* Fix tests.
* trueValue -> actualValue.
* Use different approach, DruidLiteral instead of ExprEvalWrapper.
* Revert changes in ArrayOfDoublesSketchSqlAggregatorTest.
* * add another catalog clustering columns unit test
* * dissallow clusterKeys with descending order
* * make more clear that clustering is re-written into ingest node
whether a catalog table or not
* * when partitionedBy is stored in catalog, user shouldnt need to specify
it in order to specify clustering
* * fix intellij inspection failure
* test scoped jdbc driver for druidtest:/// backed DruidAvaticaTestDriver
** DecoupledTestConfig is used inside the URI - this will make it possible to attach to existing things more easily
* DruidQuidemTestBase can be used to create module level set of quidem tests
* added quidem commands: !convertedPlan, !logicalPlan, !druidPlan, !nativePlan
** for these I've used some values of the Hook which was there in calcite
* there are some shortcuts with proxies(they are only used during testing) - we can probably remove those later
This PR fixes the first and last vector aggregators and improves their readability. Following changes are introduced
The folding is broken in the vectorized versions. We consider time before checking the folded object.
If the numerical aggregator gets passed any other object type for some other reason (like String), then the aggregator considers it to be folded, even though it shouldn’t be. We should convert these objects to the desired type, and aggregate them properly.
The aggregators must properly use generics. This would minimize the ClassCastException issues that can happen with mixed segment types. We are unifying the string first/last aggregators with numeric versions as well.
The aggregators must aggregate null values (https://github.com/apache/druid/blob/master/processing/src/main/java/org/apache/druid/query/aggregation/first/StringFirstLastUtils.java#L55-L56 ). The aggregator should only ignore pairs with time == null, and not value == null
Time nullity is ignored when trying to vectorize the data.
String versions initialized with DateTimes.MIN that is equal to Long.MIN / 2. This can cause incorrect results in case the user enters a custom time column. NOTE: This is still present because it would require a larger refactor in all of the versions.
There is a difference in what users might expect from the results because the code flow is changed (for example, the direction of the for loops, etc), however, this will only change the results, and not the contract set by first/last aggregators, which is that if multiple values have the same timestamp, then any of them can get picked.
If the column is non-existent, the users might expect a change in the timestamp from DateTime.MAX to Long.MAX, because the code incorrectly used DateTime.MAX to initialize the aggregator, however, in case of a custom timestamp column, this might not be the case. The SQL query might be prohibited from using any Long since it requires a cast to the timestamp function that can fail, but AFAICT native queries don't have such limitations.
#16068 modified DimensionHandlerUtils to accept complex types to be dimensions. This had an unintended side effect of allowing complex types to be joined upon (which wasn't guarded explicitly, it doesn't work).
This PR modifies the IndexedTable to reject building the index on the complex types to prevent joining on complex types. The PR adds back the check in the same place, explicitly.
Zoltan Haindrich
Clint Wylie
zachjsh
Gian Merlino
Akshat Jain
Sree Charan Manamala
Laksh Singla
Misha