* SQL: Full TRIM support.
- Support trimming arbitrary characters
- Support BOTH, LEADING, and TRAILING
* Remove unused import.
* Fix tests, add RTRIM / LTRIM.
* Remove unused imports.
* BTRIM and docs.
* Replace for with foreach.
* SQL: EXPLAIN improvements.
- Include query JSON in explain output.
- Fix a bug where semi-joins and nested groupBys were not fully explained.
- Fix a bug where limits were not included in "select" query explanations.
* Fix compile error.
* Fix compile error.
* Fix tests.
* Add "round" option to cardinality and hyperUnique aggregators.
Also turn it on by default in SQL, to make math on distinct counts
work more as expected.
* Fix some compile errors.
* Fix test.
* Formatting.
If DruidSchema started too long after the BrokerServerView, its
initialization callback would never get called, and it would sit
there not knowing about any tables.
This moves the registration of the callback into the constructor,
where it belongs.
* Improved SQL support for floats and doubles.
- Use Druid FLOAT for SQL FLOAT, and Druid DOUBLE for SQL DOUBLE, REAL,
and DECIMAL.
- Use float* aggregators when appropriate.
- Add tests involving both float and double columns.
- Adjust documentation accordingly.
* CR comments.
* Fix braces.
* Add metrics to the native queries underpinning SQL.
This is done by factoring out the metrics and request log emitting
code from QueryResource into a new QueryLifecycle class. That class
is used by both QueryResource and the SQL DruidSchema and QueryMaker.
Also fixes a couple of bugs in QueryResource:
- RequestLogLine start time was set to `TimeUnit.NANOSECONDS.toMillis(startNs)`,
which is incorrect since absolute nanos cannot be converted to millis.
- DruidMetrics.makeRequestMetrics was called with null `query` on
unparseable queries, which led to spurious "Unable to log query"
errors.
Partial fix for #4047.
* Code style
* Remove unused imports.
* Fix tests.
* Remove unused import.
* Fixes and improvements to SQL metadata caching.
Also adds support for MultipleSpecificSegmentSpec to CachingClusteredClient.
SQL changes:
- Cache metadata on a per-segment level, in addition to per-dataSource, so
we don't need to re-query all segments whenever a single new one appears.
This should lower the load placed on the cluster by metadata queries.
- Fix race condition in DruidSchema that can cause us to miss metadata. It was
possible to notice new segments, then issue a query, and have that query
not actually hit those segments, and not notice that it didn't hit those segments.
Then, the metadata from those segments would be ignored.
- Fix assumption in DruidSchema that all segments are immutable. Now, mutable
segments are periodically re-queried.
- Fix inappropriate re-use of SchemaPlus. Now we create one for each planning
cycle, rather than sharing one. It caches table objects, which we want to
avoid, since it can cause stale metadata. We do the caching in DruidSchema
so we don't need the SchemaPlus caching.
Server changes:
- Add a TimelineCallback to TimelineServerView, for callers that want to get updates
when the timeline has been modified.
- Change CachingClusteredClient from a QueryRunner to a QuerySegmentWalker. This
allows it to accept queries that are segment-descriptor-based rather than
intervals-based. In particular it will now support MultipleSpecificSegmentSpec.
* Fix DruidSchema, and unused imports.
* Remove unused import.
* Fix SqlBenchmark.
* SQL + Expressions = Best friends forever.
- Use expressions as a projection layer for anything that can't be
expressed using traditional Druid extractionFns. Sometimes they're
embedded directly (like "expression" filters, builtin aggregators,
or "expression" post-aggregators). Sometimes they're referenced
through virtual columns (like dimensionSpecs, which can't innately
reference functions of more than one column without the virtual
column layer).
- Add many new functions and operators, taking advantage of the
expression capability (see the querying/sql.md doc).
- Improve consistency of constant reduction and of casting by
using Druid expressions for this instead of Calcite's RexExecutor.
* Fix casting bug, and other code review comments.
* Fix docs.
* Avoid usages of Default system Locale and printing to System.out or System.err in production code
* Fix Charset in DruidKerberosUtil
* Remove redundant string format in GenericIndexed
* Rename StringUtils.safeFormat() to unimportantSafeFormat(); add StringUtils.format() which fails as well as String.format()
* Fix testSafeFormat()
* More fixes of redundant StringUtils.format() inside ISE
* Rename unimportantSafeFormat() to nonStrictFormat()
* ExpressionPostAggregator: Automatically finalize inputs.
Raw HyperLogLogCollectors and such aren't very useful. When writing
expressions like `x / y` users will expect `x` and `y` to be finalized.
* Fix un-merge.
* Code review comments.
* Remove unnecessary ImmutableMap.copyOf.
* Adding a flag to indicate when ObjectCachingColumnSelectorFactory need not be threadsafe.
* - Use of computeIfAbsent over putIfAbsent
- Replace Maps.newXXXMap() with normal instantiation
- Documentations on when is thread-safe required.
- Use Builders for On/OffheapIncrementalIndex
* - Optimization on computeIfAbsent
- Constant EMPTY DimensionsSpec
- Improvement on IncrementalIndexSchema.Builder
- Remove setting of default values
- Use var args for metrics
- Correction on On/OffheapIncrementalIndex Builders
- Combine On/OffheapIncrementalIndex Builders
* - Removing unused imports.
* - Helper method for testing with IncrementalIndex.Builder
* - Correction on javadoc.
* Style fix
* Expressions: Add ExprMacros, which have the same syntax as functions, but
can convert themselves to any kind of Expr at parse-time.
ExprMacroTable is an extension point for adding new ExprMacros. Anything
that might need to parse expressions needs an ExprMacroTable, which can
be injected through Guice.
* Address code review comments.
* SQL: More forgiving Avatica server.
- Automatically close statements that are fully iterated or that have
errors, to prevent dangling statements from causing clients to hit
open statement limits.
- Empower client auto-reconnects by throwing NoSuchConnectionException
when appropriate.
- Try to close empty connections when we hit the open connection limit,
rather than failing the newly opened connection. Client
auto-reconnections mean this shouldn't cause problems in practice.
- Improve concurrency of the server by making "connections" a
concurrent map.
- Lower default connection timeout to PT5M from PT30M.
* Fix DruidStatement test.
* Timeout and maxScatterGatherBytes handling for queries run by Druid SQL
* Address PR comments
* Fix contexts in CalciteQueryTest
* Fix contexts in QuantileSqlAggregatorTest
* Add a ServerType for peons
* Add toString() method, toString() test, unsupported type check
* Use ServerType enum in DruidServer and DruidServerMetadata
* Add QueryPlus. Add QueryRunner.run(QueryPlus, Map) method with default implementation, to replace QueryRunner.run(Query, Map).
* Fix GroupByMergingQueryRunnerV2
* Fix QueryResourceTest
* Expand the comment to Query.run(walker, context)
* Remove legacy version of BySegmentSkippingQueryRunner.doRun()
* Add LegacyApiQueryRunnerTest and be more specific about legacy API removal plans in Druid 0.11 in Javadocs
* coordinator lookups mgmt improvements
* revert replaces removal, deprecate it instead
* convert and use older specs stored in db
* more tests and updates
* review comments
* add behavior for 0.10.0 to 0.9.2 downgrade
* incorporating more review comments
* remove explicit lock and use LifecycleLock in LookupReferencesManager. use LifecycleLock in LookupCoordinatorManager as well
* wip on LookupCoordinatorManager
* lifecycle lock
* refactor thread creation into utility method
* more review comments addressed
* support smooth roll back of lookup snapshots from 0.10.0 to 0.9.2
* correctly use LifecycleLock in LookupCoordinatorManager and remove synchronization from start/stop
* run lookup mgmt on leader coordinator only
* wip: changes to do multiple start() and stop() on LookupCoordinatorManager
* lifecycleLock fix usage in LookupReferencesManagerTest
* add LifecycleLock back
* fix license hdr
* some fixes
* make LookupReferencesManager.getAllLookupsState() consistent while still being lockless
* address review comments
* addressing leventov's comments
* address charle's comments
* add IOE.java
* for safety in LookupReferencesManager mainThread check for lifecycle started state on each loop in addition to interrupt
* move thread creation utility method to Execs
* fix names
* add tests for LookupCoordinatorManager.lookupManagementLoop()
* add further tests for figuring out toBeLoaded and toBeDropped on LookupCoordinatorManager
* address leventov comments
* remove LookupsStateWithMap and parameterize LookupsState
* address review comments
* address more review comments
* misc fixes
* SQL: Groundwork for views.
They are not actually exposed to users at this point, but enough is there
to have some test cases in CalciteQueryTest.
* Remove unused imports.
* Fix injection problem.
* No more singleton. Reduce iterations
* Granularities
* Fix the delay in the test
* Add license header
* Remove unused imports
* Lot more unused imports from all the rearranging
* CR feedback
* Move javadoc to constructor
* Refactor Segment Granularity
* Beginning of one granularity
* Copy the fix for custom periods in segment-grunalrity over here.
* Remove the custom serialization for now.
* Compilation cleanup
* Reformat code
* Fixing unit tests
* Unify to use a single iterable
* Backward compatibility for rolling upgrade
* Minor check style. Cosmetic changes.
* Rename length and millis to duration
* CR feedback
* Minor changes.
* SQL: Resolve column type conflicts in favor of newer segments.
Helps with schema evolution from e.g. long -> float, which is supported
on the query side.
* Take columns from highest timestamp instead of max segment id.
* Fixes and docs.
* SQL: Add context and contextual functions to planner.
Added support for context parameters specified as JDBC connection properties
or a JSON object for SQL-over-JSON-over-HTTP.
Also added features that depend on context functionality:
- Added CURRENT_DATE, CURRENT_TIME, CURRENT_TIMESTAMP functions.
- Added support for time zones other than UTC via a "timeZone" context.
- Pass down query context to Druid queries too.
Also some bug fixes:
- Fix DATE handling, it was largely done incorrectly before.
- Fix CAST(__time TO DATE) which should do a floor-to-day.
- Fix non-equality comparisons to FLOOR(__time TO X).
- Fix maxQueryCount property.
* Pass down context to nested queries too.
* SQL: Add resolution parameter to quantile agg, rename to APPROX_QUANTILE.
* Fix bug with re-use of filtered approximate histogram aggregators.
Also add APPROX_QUANTILE tests for filtering and running on complex columns.
Includes some slight refactoring to allow tests to make DruidTables that
include complex columns.
* Remove unused import
This simplifies DruidSemiJoin, which no longer needs to add aggregation back
in. It also allows some more kinds of queries to plan properly, like the one
added in "testTopNFilterJoin".
* SQL: Ditch CalciteConnection layer and add DruidMeta, extension aggregators.
Switched from CalciteConnection to Planner, bringing benefits:
- CalciteConnection's JDBC interface no longer sits between the SQL server
(HTTP/Avatica) and Druid's query layer. Instead, the SQL servers can use
Druid Sequence objects directly, reducing overhead in the query return path.
- Implemented our own Planner-based Avatica Meta, letting us control
connection timeouts and connection / statement limits. The previous
CalciteConnection-based implementation didn't have any limits or timeouts.
- The Planner interface lets us override the operator table, opening up
SQL language extensions. This patch includes two: APPROX_COUNT_DISTINCT
in core, and a QUANTILE aggregator in the druid-histogram extension.
Also:
- Added INFORMATION_SCHEMA metadata schema.
- Added tests for Unicode literals and escapes.
* Verify statement is actually open before closing it.
* More detailed INFORMATION_SCHEMA docs.
* SQL support for nested groupBys.
Allows, for example, doing exact count distinct by writing:
SELECT COUNT(*) FROM (SELECT DISTINCT col FROM druid.foo)
Contrast with approximate count distinct, which is:
SELECT COUNT(DISTINCT col) FROM druid.foo
* Add deeply-nested groupBy docs, tests, and maxQueryCount config.
* Extract magic constants into statics.
* Rework rules to put preconditions in the "matches" method.
Gian Merlino
dgolitsyn
Roman Leventov
Slim
Parag Jain
Jonathan Wei
Goh Wei Xiang
Jihoon Son
Himanshu
Gian Merlino
praveev
DaimonPl
Roman Leventov