* First draft of grouping_id function
* Add more tests and documentation
* Add calcite tests
* Fix travis failures
* bit of a change
* Add documentation
* Fix typos
* typo fix
* Add context dimension to DefaultQueryMetrics
* remove redundant addition of context dimension from DruidMetrics now that QueryMetrics adds it by default
* update SearchQueryMetrics to reflect the same pattern as other default dimensions in QueryMetrics
* add PublicApi annotation for context in QueryMetrics Interface
* Add new coordinator metrics for duty runtimes
* fix spelling for a constant variable value
* add comment clarifying why the global runtime metric is emitted where it is
* Remove duty alias in lieu of using the class name for metrics
* fix docs
* CoordinatorStats tests + add duty stats to accumulate() logic
* support multi-line text
* add test cases
* split json text into lines case by case
* improve exception handle
* fix CI
* use IntermediateRowParsingReader as base of JsonReader
* update doc
* ignore the non-immutable field in test case
* add more test cases
* mark `lineSplittable` as final
* fix testcases
* fix doc
* add a test case for SqlReader
* return all raw columns when exception occurs
* fix CI
* fix test cases
* resolve review comments
* handle ParseException returned by index.add
* apply Iterables.getOnlyElement
* fix CI
* fix test cases
* improve code in more graceful way
* fix test cases
* fix test cases
* add a test case to check multiple json string in one text block
* fix inspection check
* support for vectorizing expressions with non-existent inputs, more consistent type handling for non-vectorized expressions
* inspector
* changes
* more test
* clean
* Introduce a Configurable Index Type
* Change to @UnstableApi
* Add AppendableIndexSpecTest
* Update doc
* Add spelling exception
* Add tests coverage
* Revert some of the changes to reduce diff
* Minor fixes
* Update getMaxBytesInMemoryOrDefault() comment
* Fix typo, remove redundant interface
* Remove off-heap spec (postponed to a later PR)
* Add javadocs to AppendableIndexSpec
* Describe testCreateTask()
* Add tests for AppendableIndexSpec within TuningConfig
* Modify hashCode() to conform with equals()
* Add comment where building incremental-index
* Add "EqualsVerifier" tests
* Revert some of the API back to AppenderatorConfig
* Don't use multi-line comments
* Remove knob documentation (deferred)
* Proposed changes for making joins cacheable
* Add unit tests
* Fix tests
* simplify logic
* Pull empty byte array logic out of CachingQueryRunner
* remove useless null check
* Minor refactor
* Fix tests
* Fix segment caching on Broker
* Move join cache key computation in Broker
Move join cache key computation in Broker from ResultLevelCachingQueryRunner to CachingClusteredClient
* Fix compilation
* Review comments
* Add more tests
* Fix inspection errors
* Pushed condition analysis to JoinableFactory
* review comments
* Disable join caching for broker and add prefix key to BroadcastSegmentIndexedTable
* Remove commented lines
* Fix populateCache
* Disable caching for selective datasources
Refactored the code so that we can decide at the data source level, whether to enable cache for broker or data nodes
* RowBasedIndexedTable: Add specialized index types for long keys.
Two new index types are added:
1) Use an int-array-based index in cases where the difference between
the min and max values isn't too large, and keys are unique.
2) Use a Long2ObjectOpenHashMap (instead of the prior Java HashMap) in
all other cases.
In addition:
1) RowBasedIndexBuilder, a new class, is responsible for picking which
index implementation to use.
2) The IndexedTable.Index interface is extended to support using
unboxed primitives in the unique-long-keys case, and callers are
updated to use the new functionality.
Other key types continue to use indexes backed by Java HashMaps.
* Fixup logic.
* Add tests.
* vectorize remaining math expressions
* fixes
* remove cannotVectorize() where no longer true
* disable vectorized groupby for numeric columns with nulls
* fixes
* Store hash partition function in dataSegment and allow segment pruning only when hash partition function is provided
* query context
* fix tests; add more test
* javadoc
* docs and more tests
* remove default and hadoop tests
* consistent name and fix javadoc
* spelling and field name
* default function for partitionsSpec
* other comments
* address comments
* fix tests and spelling
* test
* doc
* Include Sequence-building time in CPU time metric.
Meaningful work can be done while building Sequences, and we should
count this work. On the Broker, this includes subquery processing
work done by the mergeResults call of the GroupByQueryQueryToolChest.
* Add test.
* push down ValueType to ExprType conversion, tidy up
* determine expr output type for given input types
* revert unintended name change
* add nullable
* tidy up
* fixup
* more better
* fix signatures
* naming things is hard
* fix inspection
* javadoc
* make default implementation of Expr.getOutputType that returns null
* rename method
* more test
* add output for contains expr macro, split operation and function auto conversion
* Add IndexMergerRollupTest
This changelist adds a test to merge indexes with StringFirst/StringLast aggregator.
* Fix StringFirstAggregateCombiner/StringLastAggregateCombiner
The segment-level type for stringFirst/stringLast is SerializablePairLongString,
not String. This changelist fixes it.
* Fix EarliestLatestAnySqlAggregator to handle COMPLEX type
This changelist allows EarliestLatestAnySqlAggregator to accept COMPLEX
type as an operand. For its return type, we set it to VARCHAR, since
COMPLEX column is only generated by stringFirst/stringLast during ingestion
rollup.
* Return value with smaller timestamp in StringFirstAggregatorFactory.combine function
* Add integration tests for stringFirst/stringLast during ingestion
* Use one EarliestLatestReturnTypeInference instance
Co-authored-by: Joy Kent <joy@automonic.ai>
* Fix handling of 'join' on top of 'union' datasources.
The problem is that unions are typically rewritten into a series of
individual queries on the underlying tables, but this isn't done when
the union is wrapped in a join.
The main changes are in UnionQueryRunner:
1) Replace an instanceof UnionQueryRunner check with DataSourceAnalysis.
2) Replace a "query.withDataSource" call with a new function, "Queries.withBaseDataSource".
Together, these enable UnionQueryRunner to "see through" a join.
* Tests.
* Adjust heap sizes for integration tests.
* Different approach, more tests.
* Tweak.
* Styling.
* Add support for all partitioing schemes for auto compaction
* annotate last compaction state for multi phase parallel indexing
* fix build and tests
* test
* better home
* better type tracking: add typed postaggs, finalized types for agg factories
* more javadoc
* adjustments
* transition to getTypeName to be used exclusively for complex types
* remove unused fn
* adjust
* more better
* rename getTypeName to getComplexTypeName
* setup expression post agg for type inference existing
* more javadocs
* fixup
* oops
* more test
* more test
* more comments/javadoc
* nulls
* explicitly handle only numeric and complex aggregators for incremental index
* checkstyle
* more tests
* adjust
* more tests to showcase difference in behavior
* timeseries longsum array
* Make NUMERIC_HASHING_THRESHOLD configurable
Change the default numeric hashing threshold to 1 and make it configurable.
Benchmarks attached to this PR show that binary searches are not more faster
than doing a set contains check. The attached flamegraph shows the amount of
time a query spent in the binary search. Given the benchmarks, we can expect
to see roughly a 2x speed up in this part of the query which works out to
~ a 10% faster query in this instance.
* Remove NUMERIC_HASHING_THRESHOLD
* Remove stale docs
Previously, this was disallowed, because expressions treated multi-values
as nulls. But now, if there's a single multi-value column that can be
mapped over, it's okay to use the index. Expression selectors already do
this.
* Optimize large InDimFilters
For large InDimFilters, in default mode, the filter does a linear check of the
set to see if it contains either an empty or null. If it does, the empties are
converted to nulls by passing through the entire list again.
Instead of this, in default mode, we attempt to remove an empty string from the
values that are passed to the InDimFilter. If an empty string was removed, we
add null to the set
* code review
* Revert "code review"
This reverts commit 61fe33ebf7.
* code review - less brittle
* Segment backed broadcast join IndexedTable
* fix comments
* fix tests
* sharing is caring
* fix test
* i hope this doesnt fix it
* filter by schema to maybe fix test
* changes
* close join stuffs so it does not leak, allow table to directly make selector factory
* oops
* update comment
* review stuffs
* better check
* Add "offset" parameter to the Scan query.
It works by doing the query as normal and then throwing away the first
"offset" number of rows on the broker.
* Fix constructor call.
* Fix up JSONs.
* Fix call to ScanQuery.
* Doc update.
* Fix javadocs.
* Spotbugs, LGTM suppressions.
* Javadocs.
* Fix suppression.
* Stabilize Scan query result order, add tests.
* Update LGTM comment.
* Fixup.
* Test different batch sizes too.
* Nicer tests.
* Fix comment.
1) lookupId could return IDs beyond maxId if called with a recently added value.
2) getRow could return an ID for null beyond maxId, if null was recently
encountered in a dimension that initially didn't appear at all. (In this case,
the dictionary ID for null can be > 0).
Also add a comment explaining how this stuff is supposed to work.
* fix bug with realtime expressions on sparse string columns
* fix test
* add comment back
* push capabilities for dimensions to dimension indexers since they know things
* style
* style
* fixes
* getting a bit carried away
* missed one
* fix it
* benchmark build fix
* review stuffs
* javadoc and comments
* add comment
* more strict check
* fix missed usaged of impl instead of interface
* LongMaxVectorAggregator support and test case.
* DoubleMinVectorAggregator and test cases.
* DoubleMaxVectorAggregator and unit test.
* FloatMinVectorAggregator and FloatMaxVectorAggregator.
* Documentation update to include the other vector aggregators.
* Bug fix.
* checkstyle formatting fixes.
* CalciteQueryTest cases update.
* Separate test classes for FloatMaxAggregation and FloatMniAggregation.
* remove the cannotVectorize for float max/min aggregator in test.
* Tests in GroupByQueryRunner, GroupByTimeseriesQueryRunner and TimeseriesQueryRunner.
* Combine InDimFilter, InFilter.
There are two motivations:
1. Ensure that when HashJoinSegmentStorageAdapter compares its Filter
to the original one, and it is an "in" type, the comparison is by
reference and does not need to check deep equality. This is useful
when the "in" filter is very large.
2. Simplify things. (There isn't a great reason for the DimFilter and
Filter logic to be separate, and combining them reduces some
duplication.)
* Fix test.
* Add "offset" parameter to GroupBy query.
It works by doing the query as normal and then throwing away the first
"offset" number of rows on the broker.
* Stabilize GroupBy sorts.
* Fix inspections.
* Fix suppression.
* Fixups.
* Move TopNSequence to druid-core.
* Addl comments.
* NumberedElement equals verification.
* Changes from review.
* Fix minor formatting in docs.
* Add Nullhandling initialization for test to run from IDE.
* Vectorize longMin aggregator.
- A new vectorized class for the vectorized long min aggregator.
- Changes to AggregatorFactory to support vectorize functionality.
- Few changes to schema evolution test to add LongMinAggregatorFactory.
* Add longSum to the supported vectorized aggregator implementations.
* Add MIN() long min to calcite query test that can vectorize.
* Add simple long aggregations test.
* Fixup formatting per checkstyle guide.
* fixup and add more tests for long min aggregator.
* Override test for groupBy since timestamps are handled differently.
* Null compatibility check in test.
* Review comment: Add a test case to LongMinAggregationTest.
* support unit suffix on byte-related properties
* add doc
* change default value of byte-related properites in example files
* fix coding style
* fix doc
* fix CI
* suppress spelling errors
* improve code according to comments
* rename Bytes to HumanReadableBytes
* add getBytesInInt to get value safely
* improve doc
* fix problem reported by CI
* fix problem reported by CI
* resolve code review comments
* improve error message
* improve code & doc according to comments
* fix CI problem
* improve doc
* suppress spelling check errors
* Fix timeseries query constructor when postAggregator has an expression reading timestamp result column
* fix npe
* Fix postAgg referencing timestampResultField and add a test for it
* fix test
* doc
* revert doc
* Ensure that join filter pre-analysis operates on optimized filters, add DimFilter.toOptimizedFilter
* Remove aggressive equality check that was used for testing
* Use Suppliers.memoize
* Checkstyle
* Fix RetryQueryRunner to actually do the job
* more javadoc
* fix test and checkstyle
* don't combine for testing
* address comments
* fix unit tests
* always initialize response context in cachingClusteredClient
* fix subquery
* address comments
* fix test
* query id for builders
* make queryId optional in the builders and ClusterQueryResult
* fix test
* suppress tests and unused methods
* exclude groupBy builder
* fix jacoco exclusion
* add tests for builders
* address comments
* don't truncate
* Join filter pre-analysis simplifications and sanity checks.
- At pre-analysis time, only compute pre-analysis for the innermost
root query, since this is the one that will run on the join that involves
the base datasource. Previously, pre-analyses were computed for multiple
levels of the query, some of which were unnecessary.
- Remove JoinFilterPreAnalysisGroup and join query level gathering code,
since they existed to support precomputation of multiple pre-analyses.
- Embed JoinFilterPreAnalysisKey into JoinFilterPreAnalysis and use it to
sanity check at processing time that the correct pre-analysis was done.
Tangentially related changes:
- Remove prioritizeAndLaneQuery functionality from LocalQuerySegmentWalker.
The computed priority and lanes were not being used.
- Add "getBaseQuery" method to DataSourceAnalysis to support identification
of the proper subquery for filter pre-analysis.
* Fix compilation errors.
* Adjust tests.
* Filter http requests by http method
Add a config that allows a user which http methods to allow against their
Druid server.
Druid will only accept http requests with the method: GET, PUT, POST, DELETE
and OPTIONS.
If a Druid admin wants to allow other methods, they can do so by using the
ServerConfig#allowedHttpMethods config.
If a Druid user would like to disallow OPTIONS, this can be done by changing
the AuthConfig#allowUnauthenticatedHttpOptions config
* Exclude OPTIONS from always supported HTTP methods
Add HEAD as an allowed method for web console e2e tests
* fix docs
* fix security IT
* Actually fix the web console e2e tests
* Ignore icode coverage for nitialization classes
* code review
* IntelliJ inspection and checkstyle rule for "Collection.EMPTY_* field accesses replaceable with Collections.empty*()"
* Reverted checkstyle rule
* Added tests to pass CI
* Codestyle
* ROUND and having comparators correctly handle doubles
Double.NaN, Double.POSITIVE_INFINITY and Double.NEGATIVE_INFINITY are not real
numbers. Because of this, they can not be converted to BigDecimal and instead
throw a NumberFormatException.
This change adds support for calculations that produce these numbers either
for use in the `ROUND` function or the HavingSpecMetricComparator by not
attempting to convert the number to a BigDecimal.
The bug in ROUND was first introduced in #7224 where we added the ability to
round to any decimal place. This PR changes the behavior back to using
`Math.round` if we recognize a number that can not be converted to a
BigDecimal.
* Add tests and fix spellcheck
* update error message in ExpressionsTest
* Address comments
* fix up round for infinity
* round non numeric doubles returns a double
* fix spotbugs
* Update docs/misc/math-expr.md
* Update docs/querying/sql.md
* Remove LegacyDataSource.
Its purpose was to enable deserialization of strings into TableDataSources.
But we can do this more straightforwardly with Jackson annotations.
* Slight test improvement.
The parameters generator uses CompressionStrategy.noNoneValues() instead
of CompressionStrategyTest.compressionStrategies() which wrapped each
strategy in a single element array. This improves readability of the
test.
* make joinables closeable
* tests and adjustments
* refactor to make join stuffs impelement ReferenceCountedObject instead of Closable, more tests
* fixes
* javadocs and stuff
* fix bugs
* more test
* fix lgtm alert
* simplify
* fixup javadoc
* review stuffs
* safeguard against exceptions
* i hate this checkstyle rule
* make IndexedTable extend Closeable
* remove incorrect and unnecessary overrides from BooleanVectorValueMatcher
* add test case
* add unit tests for ... part of VectorValueMatcherColumnProcessorFactory
* Update VectorValueMatcherColumnProcessorFactoryTest.java
* move benchmark data generator into druid-processing, add a GeneratorInputSource to fill up a cluster with data
* newlines
* make test coverage not fail maybe
* remove useless test
* Update pom.xml
* Update GeneratorInputSourceTest.java
* less passive aggressive test names
* fix groupBy with literal in subquery grouping
* fix groupBy with literal in subquery grouping
* fix groupBy with literal in subquery grouping
* address comments
* update javadocs
* Fix join
* Fix Subquery could not be converted to groupBy query
* Fix Subquery could not be converted to groupBy query
* Fix Subquery could not be converted to groupBy query
* Fix Subquery could not be converted to groupBy query
* Fix Subquery could not be converted to groupBy query
* Fix Subquery could not be converted to groupBy query
* Fix Subquery could not be converted to groupBy query
* Fix Subquery could not be converted to groupBy query
* add tests
* address comments
* fix failing tests
* Add REGEXP_LIKE, fix empty-pattern bug in REGEXP_EXTRACT.
- Add REGEXP_LIKE function that returns a boolean, and is useful in
WHERE clauses.
- Fix REGEXP_EXTRACT return type (should be nullable; causes incorrect
filter elision).
- Fix REGEXP_EXTRACT behavior for empty patterns: should always match
(previously, they threw errors).
- Improve error behavior when REGEXP_EXTRACT and REGEXP_LIKE are passed
non-literal patterns.
- Improve documentation of REGEXP_EXTRACT.
* Changes based on PR review.
* Fix arg check.
* Important fixes!
* Add speller.
* wip
* Additional tests.
* Fix up tests.
* Add validation error tests.
* Additional tests.
* Remove useless call.
* - GroupByQueryEngineV2: Fix leak of intermediate processing buffer when
exceptions are thrown before result sequence is created.
- PooledTopNAlgorithm: Fix leak of intermediate processing buffer when
exceptions are thrown before the PooledTopNParams object is created.
- BlockingPool: Remove unused "take" methods.
* Add tests to verify that buffers have been returned.
* Fix various Yielder leaks.
- CombiningSequence leaked the input yielder from "toYielder" if it ran
into an exception while accumulating the last value from the input
yielder.
- MergeSequence leaked input yielders from "toYielder" if it ran into
an exception while building the initial priority queue.
- ScanQueryRunnerFactory leaked the input yielder in its
"priorityQueueSortAndLimit" strategy if it ran into an exception
while scanning and sorting.
- YieldingSequenceBase.accumulate chomped IOExceptions thrown in
"accumulate" during yielder closing.
* Add tests.
* Fix braces.
* Refactor JoinFilterAnalyzer
This patch attempts to make it easier to follow the join filter analysis code
with the hope of making it easier to add rewrite optimizations in the future.
To keep the patch small and easy to review, this is the first of at least 2
patches that are planned.
This patch adds a builder to the Pre-Analysis, so that it is easier to
instantiate the preAnalysis. It also moves some of the filter normalization
code out to Fitlers with associated tests.
* fix tests
* Refactor JoinFilterAnalyzer - part 2
This change introduces the following components:
* RhsRewriteCandidates - a wrapper for a list of candidates and associated
functions to operate on the set of candidates.
* JoinableClauses - a wrapper for the list of JoinableClause that represent
a join condition and the associated functions to operate on the clauses.
* Equiconditions - a wrapper representing the equiconditions that are used
in the join condition.
And associated test changes.
This refactoring surfaced 2 bugs:
- Missing equals and hashcode implementation for RhsRewriteCandidate, thus
allowing potential duplicates in the rhs rewrite candidates
- Missing Filter#supportsRequiredColumnRewrite check in
analyzeJoinFilterClause, which could result in UnsupportedOperationException
being thrown by the filter
* fix compile error
* remove unused class
* Refactor JoinFilterAnalyzer - Correlations
Move the correlation related code out into it's own class so it's easier
to maintain.
Another patch should follow this one so that the query path uses the
correlation object instead of it's underlying maps.
* Optimize join queries where filter matches nothing
Fixes#9787
This PR changes the Joinable interface to return an Optional set of correlated
values for a column.
This allows the JoinFilterAnalyzer to differentiate between the case where the
column has no matching values and when the column could not find matching
values.
This PR chose not to distinguish between cases where correlated values could
not be computed because of a config that has this behavior disabled or because
of user error - like a column that could not be found. The reasoning was that
the latter is likely an error and the non filter pushdown path will surface the
error if it is.
* Refactor JoinFilterAnalyzer
This patch attempts to make it easier to follow the join filter analysis code
with the hope of making it easier to add rewrite optimizations in the future.
To keep the patch small and easy to review, this is the first of at least 2
patches that are planned.
This patch adds a builder to the Pre-Analysis, so that it is easier to
instantiate the preAnalysis. It also moves some of the filter normalization
code out to Fitlers with associated tests.
* fix tests
* Refactor JoinFilterAnalyzer - part 2
This change introduces the following components:
* RhsRewriteCandidates - a wrapper for a list of candidates and associated
functions to operate on the set of candidates.
* JoinableClauses - a wrapper for the list of JoinableClause that represent
a join condition and the associated functions to operate on the clauses.
* Equiconditions - a wrapper representing the equiconditions that are used
in the join condition.
And associated test changes.
This refactoring surfaced 2 bugs:
- Missing equals and hashcode implementation for RhsRewriteCandidate, thus
allowing potential duplicates in the rhs rewrite candidates
- Missing Filter#supportsRequiredColumnRewrite check in
analyzeJoinFilterClause, which could result in UnsupportedOperationException
being thrown by the filter
* fix compile error
* remove unused class
* Refactor JoinFilterAnalyzer
This patch attempts to make it easier to follow the join filter analysis code
with the hope of making it easier to add rewrite optimizations in the future.
To keep the patch small and easy to review, this is the first of at least 2
patches that are planned.
This patch adds a builder to the Pre-Analysis, so that it is easier to
instantiate the preAnalysis. It also moves some of the filter normalization
code out to Fitlers with associated tests.
* fix tests
Abhishek Agarwal
Maytas Monsereenusorn
Himanshu
Lucas Capistrant
frank chen
Atul Mohan
Clint Wylie
Liran Funaro
Jihoon Son
Jonathan Wei
Gian Merlino
Dylan Wylie
Suneet Saldanha
Joy Kent
Abhishek Radhakrishnan
Nishant Bangarwa
Samarth Jain
chenyuzhi459
Aleksey Plekhanov
Maytas Monsereenusorn
Suneet Saldanha
Stefan Birkner
Xavier Léauté