* 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.
This puts all the SQL stuff in one place. It also makes life easier by
pointing out that configs be made in either common.runtime.properties
or the broker runtime.properties.
* initial commits for finalizeFieldAccess #2433
* fix some bugs to run a query
* change name of method Queries.verifyAggregations to Queries.prepareAggregations
* add Uts
* fix Ut failures
* rebased to master
* address comments and add a Ut for arithmetic post aggregators
* rebased to the master
* address the comment of injection within arithmetic post aggregator
* address comments and introduce decorate() in the PostAggregator interface.
* Address comments. 1. Implements getComparator in FinalizingFieldAccessPostAggregator and add Uts for it 2. Some minor changes like renaming a method name.
* Fix a code style mismatch.
* Rebased to the master
GroupBy v2 doesn't cache on the broker, so it isn't actually testing
what the test was supposed to be testing. Also, the test failed due
to mismatched expectations.
* fix cache populate incorrect content when numBackgroundThreads>1
* simplify code by using Futures.allAsList and use CountDownLatch in UT
* fix test code style and assert countDownLatch.await()
* Removing Integer.MAX column size limit.
* On demand creation of headerLong, use v2 instead of v3
* Avoid reusing the same object from a previous test.
* Avoid reusing the same object from a previous test part#2
* code formatting.
* GenericIndexed/Writer code review changes.
* GenericIndexed/writer code review requested changes.
* checkIndex() to static
* native endianess for genericIndexedV2, code review requested changes.
* Formatting
* Hll fix.
* use native endianess during bag size calculation.
* Code review requested changes.
* IOPeon close() changes.
* use different tmp directory path for testing.
* Code review requested 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.
* Require Java 8 and include some Java 8 dependencies.
- Upgrade Jetty to 9.3.16.v20170120.
- Upgrade DataSketches to 0.8.4.
- Bundle caffeine-cache by default.
- Still target Java 7 when compiling base Druid classes.
* Update cluster, quickstart docs.
* Remove oraclejdk7 from travis.yml.
* Less use of File.deleteOnExit()
* removed deleteOnExit from most of the tests/benchmarks/iopeon
* Made IOpeon closable
* Formatting.
* Revert DeterminePartitionsJobTest, remove cleanup method from IOPeon
* Close all aggregators when closing onHeapIncrementalIndex
* Aggregators are now handled as Closeables, remove unnecessary mock in test
* Fix variable shadowing
* modified "end" column to `end`. "end" is interpretted as a string rather than dereferencing the column value
* SQLMetadataConnector.getQuoteString defines the string that should be used to quote string fields
* positional arguments for String.format
* for Connectors that use " need to include the \ escape as well
* Add PostAggregators to generator cache keys for top-n queries
* Add tests for strings
* Remove debug comments
* Add type keys and list sizes to cache key
* Make post aggregators used for sort are considered for cache key generation
* Use assertArrayEquals()
* Improve findPostAggregatorsForSort()
* Address comments
* fix test failure
* address comments
* Simplify LikeFilter implementation of getBitmapIndex, estimateSelectivity.
LikeFilter:
- Reduce code duplication, and simplify methods, at the cost of incurring an extra box
of ImmutableBitmap into a SingletonImmutableList. I think this is fine, since this
should be cheap and the code path is not hot (just once per filter).
Filters:
- Make estimateSelectivity public since it seems intended that they be used by Filter
implementations, and Filters from extensions may want to use them too. Removed
@VisibleForTesting for the same reason.
- Rename one of the estimatePredicateSelectivity overloads to estimateSelectivity, since
predicates aren't involved.
* Address PR comments.
* Remove unused import
* Change List to Collection
* Specialize LoadBalancingPool as MemcacheClientPool, reduce locking and don't override Object.finalize()
* Remove locking and don't override Object.finalize() in ReferenceCountingResourceHolder
* Add leak counts in ReferenceCountingResourceHolder and MemcacheClientPool. Add tests for ReferenceCountingResourceHolder and MemcacheClientPool
* Fix a race condition in ReferenceCountingResourceHolder.increment()
* Add filter selectivity estimation for auto search strategy
* Addressed comments
* Lazy bitmap materialization for bitmap sampling and java docs
* Addressed comments.
- Fix wrong non-overlap ratio computation and added unit tests.
- Change Iterable<Integer> to IntIterable
- Remove unnecessary Iterable<Integer>
* Addressed comments
- Split a long ternary operation into if-else blocks
- Add IntListUtils.fromTo()
* Fix test failure and add a test for RangeIntList
* fix code style
* Diabled selectivity estimation for multi-valued dimensions
* Address comment