As part of #12078 one of the followup's was to have a specific config which does not allow accidental unnesting of multi value columns if such columns become part of the grouping key.
Added a config groupByEnableMultiValueUnnesting which can be set in the query context.
The default value of groupByEnableMultiValueUnnesting is true, therefore it does not change the current engine behavior.
If groupByEnableMultiValueUnnesting is set to false, the query will fail if it encounters a multi-value column in the grouping key.
* Moving in filter check to broker
* Adding more unit tests, making error message meaningful
* Spelling and doc changes
* Updating default to -1 and making this feature hide by default. The number of IN filters can grow upto a max limit of 100
* Removing upper limit of 100, updated docs
* Making documentation more meaningful
* Moving check outside to PlannerConfig, updating test cases and adding back max limit
* Updated with some additional code comments
* Missed removing one line during the checkin
* Addressing doc changes and one forbidden API correction
* Final doc change
* Adding a speling exception, correcting a testcase
* Reading entire filter tree to address combinations of ANDs and ORs
* Specifying in docs that, this case works only for ORs
* Revert "Reading entire filter tree to address combinations of ANDs and ORs"
This reverts commit 81ca8f8496.
* Covering a class cast exception and updating docs
* Counting changed
Co-authored-by: Jihoon Son <jihoonson@apache.org>
* rework sql planner expression and virtual column handling
* simplify a bit
* add back and deprecate old methods, more tests, fix multi-value string coercion bug and associated tests
* spotbugs
* fix bugs with multi-value string array expression handling
* javadocs and adjust test
* better
* fix tests
* array_concat_agg and array_agg support for array inputs
changes:
* added array_concat_agg to aggregate arrays into a single array
* added array_agg support for array inputs to make nested array
* added 'shouldAggregateNullInputs' and 'shouldCombineAggregateNullInputs' to fix a correctness issue with STRING_AGG and ARRAY_AGG when merging results, with dual purpose of being an optimization for aggregating
* fix test
* tie capabilities type to legacy mode flag about coercing arrays to strings
* oops
* better javadoc
* Harmonize implementations of "visit" for Exprs from ExprMacros.
Many of them had bugs where they would not visit all of the original
arguments. I don't think this has user-visible consequences right now,
but it's possible it would in a future world where "visit" is used
for more stuff than it is today.
So, this patch all updates all implementations to a more consistent
style that emphasizes reapplying the macro to the shuttled args.
* Test fixes, test coverage, PR review comments.
Fixes#12022
### Description
The current implementations of memory estimation in `OnHeapIncrementalIndex` and `StringDimensionIndexer` tend to over-estimate which leads to more persistence cycles than necessary.
This PR replaces the max estimation mechanism with getting the incremental memory used by the aggregator or indexer at each invocation of `aggregate` or `encode` respectively.
### Changes
- Add new flag `useMaxMemoryEstimates` in the task context. This overrides the same flag in DefaultTaskConfig i.e. `druid.indexer.task.default.context` map
- Add method `AggregatorFactory.factorizeWithSize()` that returns an `AggregatorAndSize` which contains
the aggregator instance and the estimated initial size of the aggregator
- Add method `Aggregator.aggregateWithSize()` which returns the incremental memory used by this aggregation step
- Update the method `DimensionIndexer.processRowValsToKeyComponent()` to return the encoded key component as well as its effective size in bytes
- Update `OnHeapIncrementalIndex` to use the new estimations only if `useMaxMemoryEstimates = false`
* VirtualizedColumnSelectorFactory: Allow virtual columns to reference each other.
This matches the behavior of QueryableIndex and IncrementalIndex based cursors.
* Fixes to getColumnCapabilities.
* init multiValue column group by
* Changing sorting to Lexicographic as default
* Adding initial tests
* 1.Fixing test cases adding
2.Optimized inmem structs
* Linking SQL layer to native layer
* Adding multiDimension support to group by column strategy
* 1. Removing array coercion in Calcite layer
2. Removing ResultRowDeserializer
* 1. Supporting all primitive array types
2. Removing dimension spec as part of columnSelector
* 1. Supporting all primitive array types
2. Removing dimension spec as part of columnSelector
* 1. Checkstyle things
2. Removing flag
* Minor naming things
* CheckStyle Things
* Fixing test case
* Fixing hashing
* 1. Adding the MV function
2. Added few test cases
* 1. Adding MV function test cases
* Adding Selector strategy function test cases
* Fixing ClientQuerySegmentWalkerTest
* Adding GroupByQueryRunnerTest test cases
* Fixing test cases
* Adding few more test cases
* Fixing Exception asset statement and intellij inspection
* Adding null compatibility tests
* Review comments
* Fixing few failing tests
* Fixing few failing tests
* Do no convert to topN Q incase of group by on array
* Fixing checkstyle
* Fixing differences between jdk's class cast exception message
* 1. Fixing ordering if the grouping key is an array
* Fixing DefaultLimitSpec
* Fixing CalciteArraysQueryTest
* Dummy commit for LGTM
* changes:
* only coerce multi-value string null values when `ExpressionPlan.Trait.NEEDS_APPLIED` is set
* correct return type inference for ARRAY_APPEND,ARRAY_PREPEND,ARRAY_SLICE,ARRAY_CONCAT
* fix bug with ExprEval.ofType when actual type of object from binding doesn't match its claimed type
* Review comments
* Fixing test cases
* Fixing spot bugs
* Fixing strict compile
Co-authored-by: Clint Wylie <cwylie@apache.org>
* Pass VirtualColumnRegistry in PlannerContext for join expression planning
* Allow for including VCs from join fact table expression
* Optmize MV_FILTER functions to use a VC when in join fact table expression
* fixup! Allow for including VCs from join fact table expression
* Address review comments
This change mimics what was done in PR #11917 to
fix the incompatibilities produced by #11713. #11917
fixed it with AggregatorFactory by creating default
methods to allow for extensions built against old
jars to still work. This does the same for PostAggregator
* fix delegated smoosh writer and some new facilities for segment writeout medium
changes:
* fixed issue with delegated `SmooshedWriter` when writing files that look like paths, causing `NoSuchFileException` exceptions when attempting to open a channel to the file
* `FileSmoosher.addWithSmooshedWriter` when _not_ delegating now checks that it is still open when closing, making it a no-op if already closed (allowing column serializers to add additional files and avoid delegated mode if they are finished writing out their own content and ned to add additional files)
* add `makeChildWriteOutMedium` to `SegmentWriteOutMedium` interface, which allows users of a shared medium to clean up `WriteOutBytes` if they fully control the lifecycle. there are no callers of this yet, adding for future functionality
* `OnHeapByteBufferWriteOutBytes` now can be marked as not open so it `OnHeapMemorySegmentWriteOutMedium` can now behave identically to other medium implementations
* fix to address nit - use AtomicLong
* Thread pool for broker
* Updating two tests to improve coverage for new method added
* Updating druidProcessingConfigTest to cover coverage
* Adding missed spelling errors caused in doc
* Adding test to cover lines of new function added
changes:
* IncrementalIndex is now a ColumnInspector
* fixes performance regression from using map of ColumnCapabilities from IncrementalIndex as a RowSignature
DruidSchema consists of a concurrent HashMap of DataSource -> Segement -> AvailableSegmentMetadata. AvailableSegmentMetadata contains RowSignature of the segment, and for each segment, a new object is getting created. RowSignature is an immutable class, and hence it can be interned, and this can lead to huge savings of memory being used in broker, since a lot of the segments of a table would potentially have same RowSignature.
* fix bug where queries fail immediately when timeout is 0 instead of using default timeout
* fix to use serverside max
* more better
* less flaky test
* oops
* Refactor ResponseContext
Fixes a number of issues in preparation for request trailers
and the query profile.
* Converts keys from an enum to classes for smaller code
* Wraps stored values in functions for easier capture for other uses
* Reworks the "header squeezer" to handle types other than arrays.
* Uses metadata for visibility, and ability to compress,
to replace ad-hoc code.
* Cleans up JSON serialization for the response context.
* Other miscellaneous cleanup.
* Handle unknown keys in deserialization
Also, make "Visibility" into a boolean.
* Revised comment
* Renamd variable
changes:
* adds new config, druid.expressions.useStrictBooleans which make longs the official boolean type of all expressions
* vectorize logical operators and boolean functions, some only if useStrictBooleans is true
* Code cleanup from query profile project
* Fix spelling errors
* Fix Javadoc formatting
* Abstract out repeated test code
* Reuse constants in place of some string literals
* Fix up some parameterized types
* Reduce warnings reported by Eclipse
* Reverted change due to lack of tests
* Use intermediate-persist IndexSpec during multiphase merge.
The main change is the addition of an intermediate-persist IndexSpec
to the main "merge" method in IndexMerger. There are also a few minor
adjustments to the IndexMerger interface to encourage more harmonious
usage of its methods in the future.
* Additional changes inspired by the test coverage checker.
- Remove unused-in-production IndexMerger methods "append" and "convert".
- Add additional unit tests to UnifiedIndexerAppenderatorsManager.
* Additional adjustments.
* Even more additional adjustments.
* Test fixes.
Add a "guessAggregatorHeapFootprint" method to AggregatorFactory that
mitigates #6743 by enabling heap footprint estimates based on a specific
number of rows. The idea is that at ingestion time, the number of rows
that go into an aggregator will be 1 (if rollup is off) or will likely
be a small number (if rollup is on).
It's a heuristic, because of course nothing guarantees that the rollup
ratio is a small number. But it's a common case, and I expect this logic
to go wrong much less often than the current logic. Also, when it does
go wrong, users can fix it by lowering maxRowsInMemory or
maxBytesInMemory. The current situation is unintuitive: when the
estimation goes wrong, users get an OOME, but actually they need to
*raise* these limits to fix it.
Add the ability to pass time column in first/last aggregator (and latest/earliest SQL functions). It is to support cases where the time to query upon is stored as a part of a column different than __time. Also, some other logical time column can be specified.
Simplifies logic for callers that only want to get a list of all the
column names, or column names and types. Updated callers SegmentAnalyzer,
HashJoinSegmentStorageAdapter, and DruidSegmentReader.
* SQL INSERT planner support.
The main changes are:
1) DruidPlanner is able to validate and authorize INSERT queries. They
require WRITE permission on the target datasource.
2) QueryMaker is now an interface, and there is a QueryMakerFactory that
creates instances of it. There is only one production implementation
of each (NativeQueryMaker and NativeQueryMakerFactory), which
together behave the same way as the former QueryMaker class. But this
opens the door to executing queries in ways other than the Druid
query stack, and is used by unit tests (CalciteInsertDmlTest) to
test the INSERT planning functionality.
3) Adds an EXTERN table macro that allows references external data using
InputSource and InputFormat from Druid's batch ingestion API. This is
not exposed in production yet, but is used by unit tests.
4) Adds a QueryFeature concept that enables the planner to change its
behavior slightly depending on the capabilities of the execution
system.
5) Adds an "AuthorizableOperator" concept that enables SqlOperators
to require additional permissions. This is used by the EXTERN table
macro.
Related odds and ends:
- Add equals, hashCode, toString methods to InlineInputSource. Aids in
the "from external" tests in CalciteInsertDmlTest.
- Add JSON-serializability to RowSignature.
- Move the SQL string inside PlannerContext so it is "baked into" the
planner when the planner is created. Cleans up the code a bit, since
in practice, the same query is passed in every time to the
same planner anyway.
* Fix up calls to CalciteTests.createMockQueryLifecycleFactory.
* Fix checkstyle issues.
* Adjustments for CI.
* Adjust DruidAvaticaHandlerTest for stricter test authorizations.
Important because an earlier call to getCachedColumn may have been
done with a different class, leading to a ClassCastException on the
second call. In the prior code, this could happen if a complex column
had makeDimensionSelector called on it after makeColumnValueSelector had
already been called.
Usually, "execute" is called by methods defined in the superclass
AbstractExecutorService, and the passed-in Runnable has been wrapped
by newTaskFor inside a PrioritizedListenableFutureTask. But this method
can also be called directly, and if so, the same wrapping is necessary
for the delegate to get a Runnable that can be entered into a priority
queue with the others.
* add back and deprecate aggregator factory methods so i can say i told you so when i delete these later
* rename to make less ambiguous, fix fill method
* adjust
* Scan: Add "orderBy" parameter.
This patch adds an API for requesting non-time orderings, although it
does not actually add the ability to execute such queries.
The changes are done in such a way that no matter how Scan query objects
are constructed, they will have a correct "getOrderBy". This will enable
us to switch the execution to exclusively use "getOrderBy" later on when
it's implemented.
Scan queries are serialized such that they only include "order" (time
order) if the ordering is time-based, and they only include "orderBy" if
the ordering is non-time-based. This maximizes compatibility with
the existing API while also providing a clean look for formatted queries.
Because this patch does not include execution logic, if someone actually
tries to run a query with non-time ordering, then they will get an error
like "Cannot execute query with orderBy [quality ASC]".
* SQL module fixes.
* Add spotbugs-exclude.
* Remove unused method.
Add method ShardSpec.getType() to get name of shard spec type
List all names of shard spec types in the interface ShardSpec itself
for easy reference and maintenance
Add dimension partitioningType to metric segment/added/bytes
PR #11882 introduced a type comparison using ==, but while it was in flight,
another PR #11713 changed the type enum to a class. So the comparison should
properly be done with "equals".
There are 3 types of query IDs - id, subQueryId, sqlQueryId. Currently, whenever a query generates subqueries, the subquery's subQueryId is populated randomly. Also, subquery's Id is not set to the parent query Id. Therefore there is no way of linking the subqueries to the parent query, and one loses the ability to look at end to end view of the query.
This PR aims to implement following couple of things:
Populate the subqueries with it's parent's id (and sqlQueryId if present)
Populate the subqueryId such that it forms a hierarchical relationship amongs themselves. For example, if there is a query which launches a subquery, which in turn launches a couple of subqueries, then the ids and subQueryIds should have following structure.
* revert ColumnAnalysis type, add typeSignature and use it for DruidSchema
* review stuffs
* maybe null
* better maybe null
* Update docs/querying/segmentmetadataquery.md
* Update docs/querying/segmentmetadataquery.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* fix null right
* sad
* oops
* Update batch_hadoop_queries.json
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* RowBasedSegment: Use Sequence instead of Iterable.
The main reason this is good is that Sequences can include baggage that
must be closed after iteration is finished. This enables creating
RowBasedSegments on top of closeable sequences of rows.
To preserve the optimization that allows reversing a List without
copying it, this patch also makes SimpleSequence its own class and allows
extracting the Iterable that was used to create it.
* Fix tests.
* Add Finalization option to RowSignature.addAggregators.
This make type signatures more useful when the caller knows whether it will
be reading aggregation results in their finalized or intermediate types.
* Fix call site.
* add missing json type for ListFilteredVirtualColumn, and tests to try to avoid this happening again
* fixes
* ugly, but maybe this
* oops
* too many mappers
Karan Kumar
somu-imply
Jason Koch
Clint Wylie
Gian Merlino
Kashif Faraz
Jihoon Son
Gian Merlino
Rohan Garg
imply-cheddar
Abhishek Agarwal
Jonathan Wei
Laksh Singla
Paul Rogers