* Deduplicate DataSegments contents (loadSpec's keys, dimensions and metrics lists as a whole) more aggressively; use ArrayMap instead of default LinkedHashMap for DataSegment.loadSpec, because they have only 3 entries on average; prune DataSegment.loadSpec on brokers
* Fix DataSegmentTest
* Refinements
* Try to fix
* Fix the second DataSegmentTest
* Nullability
* Fix tests
* Fix tests, unify to use TestHelper.getJsonMapper()
* Revert TestUtil as ServerTestHelper, fix tests
* Add newline
* Fix indexing tests
* Fix s3 tests
* Try to fix tests, remove lazy caching of ObjectMapper in TestHelper, rename TestHelper.getJsonMapper() to makeJsonMapper()
* Fix HDFS tests
* Fix HdfsDataSegmentPusherTest
* Capitalize constant names
* use ImmutableDruidDataSource for map and set
* address comments
* unused import
* allow returning only ImmutableDruidDataSource in MetadataSegmentManager
* address comments
* remove TreeSet
* revert to use TreeSet
* Fix havingSpec on complex aggregators.
- Uses the technique from #4883 on DimFilterHavingSpec too.
- Also uses Transformers from #4890, necessitating a move of that and other
related classes from druid-server to druid-processing. They probably make
more sense there anyway.
- Adds a SQL query test.
Fixes#4957.
* Remove unused import.
* Introduce "transformSpec" at ingest-time.
It accepts a "filter" (standard query filter object) and "transforms" (a
list of objects with "name" and "expression"). These can be used to do
filtering and single-row transforms without need for a separate data
processing job.
The "expression" fields use the same expression language as other
expression-based feature.
* Remove forbidden api.
* Fix compile error.
* Fix tests.
* Some more changes.
- Add nullable annotation to Firehose.nextRow.
- Add tests for index task, realtime task, kafka task, hadoop mapper,
and ingestSegment firehose.
* Fix bad merge.
* Adjust imports.
* Adjust whitespace.
* Make Transform into an interface.
* Add missing annotation.
* Switch logger.
* Switch logger.
* Adjust test.
* Adjustment to handling for DatasourceIngestionSpec.
* Fix test.
* CR comments.
* Remove unused method.
* Add javadocs.
* More javadocs, and always decorate.
* Fix bug in TransformingStringInputRowParser.
* Fix bad merge.
* Fix ISFF tests.
* Fix DORC test.
* Fix#4647
* NPE protect bucketInterval as well
* Add test to verify timezone as well
* Also handle case when intervals are already present
* Fix checkstyle error
* Use factory method instead for Datetime
* Use Intervals factory method
* remove ServerConfig from DruidNode as all information needs to be present in DruidNode serialized form
* sanitize output of /druid/coordinator/v1/cluster endpoint
* Added org.joda.time.DateTime#(java.lang.String) to forbidden API.
* Added org.joda.time.DateTime#(java.lang.String, org.joda.time.format.DateTimeFormatter) to forbidden API.
* Add additional APIs that may create DateTime with default time zone
* Add helper function that accepts formatter to parse String.
* Add additional forbidden APIs
* Replace existing usage of forbidden APIs
* Use wrapper class to enforce Chronology on DateTimeFormatter.
* Creates constant UtcFormatter for constant ISODateTimeFormat.
* Allow ndex job to utilize hadoop cluster information from job config.
* Add new method that inject system configuration and then job configuration.
* Make changes to use HadoopDruidIndexerConfig.addJobProperties method.
* refactor code for overloaded addJobProperties.
* 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.
* 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()
* Remove ability to create segments in v8 format
* Fix IndexGeneratorJobTest
* Fix parameterized test name in IndexMergerTest
* Remove extra legacy merging stuff
* Remove legacy serializer builders
* Remove ConciseBitmapIndexMergerTest and RoaringBitmapIndexMergerTest
* 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.
* Enable most IntelliJ 'Probable bugs' inspections
* Fix in RemoteTestNG
* Fix IndexSpec's equals() and hashCode() to include longEncoding
* Fix inspection errors
* Extract global isntance of natural().nullsFirst(); address comments
* Fix
* Use noinspection comments instead of SuppressWarnings on method for IntelliJ-specific inspections
* Prohibit Ordering.natural().nullsFirst() using Checkstyle
* Make using implicit system charset an error
* Use StringUtils.toUtf8() and fromUtf8() instead of String.getBytes() and new String()
* Use English locale in StringUtils.safeFormat()
* Restore comment
* Adding s3a schema and s3a implem to hdfs storage module.
* use 2.7.3
* use segment pusher to make loadspec
* move getStorageDir and makeLoad spec under DataSegmentPusher
* fix uts
* fix comment part1
* move to hadoop 2.8
* inject deep storage properties
* set version to 2.7.3
* fix build issue about static class
* fix comments
* fix default hadoop default coordinate
* fix create filesytem
* downgrade aws sdk
* bump the version
* Replaces use of CountingMap with Object2LongMap from fastutil.
* Remove CountingMap classes and minor fixes
* Added additional test cases for DatasourceInputFormat.
* Added additional test cases for CoordinatorStats.
* Not materializing segment list.
* Put in this fix because it is failing the test on its expected behavior.
* Added missing header.
* Make Errorprone the default compiler
* Address comments
* Make Error Prone's ClassCanBeStatic rule a error
* Preconditions allow only %s pattern
* Fix DruidCoordinatorBalancerTester
* Try to give the compiler more memory
* Remove distribution module activation on jdk 1.8 because only jdk 1.8 is used now
* Don't show compiler warnings
* Try different travis script
* Fix travis.yml
* Make Error Prone optional again
* For error-prone compiler
* Increase compiler's maxmem
* Don't run Error Prone for benchmarks because of OOM
* Skip install step in Travis
* Remove MetricHolder.writeToChannel()
* In travis.yml, check compilation before tests, because it may fail faster
It wasn't doing anything useful (the sequences were being concatted, and
cursor.getTime() wasn't being called) and it defaulted to Granularities.NONE.
Changing it to Granularities.ALL gave me a 700x+ performance boost on a
small dataset I was reindexing (2m27s to 365ms). Most of that was from avoiding
making a lot of unnecessary column selectors.
* In IndexMerger and IndexMergerV9, create temporary files under the output directory/tmpPeonFiles, instead of java.io.tmpdir
* Use FileUtils.forceMkdir() across the codebase and remove some unused code
* Fix test
* Fix PullDependencies.run()
* Unused import
* NN optimization for hdfs data segments.
* HdfsDataSegmentKiller, HdfsDataSegment finder changes to use new storage
format.Docs update.
* Common utility function in DataSegmentPusherUtil.
* new static method `makeSegmentOutputPathUptoVersionForHdfs` in JobHelper
* reuse getHdfsStorageDirUptoVersion in
DataSegmentPusherUtil.getHdfsStorageDir()
* Addressed comments.
* Review comments.
* HdfsDataSegmentKiller requested changes.
* extra newline
* Add maprfs.
* 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.
* 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.
* 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
* Add virtual column types, holder serde, and safety features.
Virtual columns:
- add long, float, dimension selectors
- put cache IDs in VirtualColumnCacheHelper
- adjust serde so VirtualColumns can be the holder object for Jackson
- add fail-fast validation for cycle detection and duplicates
- add expression virtual column in core
Storage adapters:
- move virtual column hooks before checking base columns, to prevent surprises
when a new base column is added that happens to have the same name as a
virtual column.
* Fix ExtractionDimensionSpecs with virtual dimensions.
* Fix unused imports.
* CR comments
* Merge one more time, with feeling.
* Filters: Use ColumnSelectorFactory directly for building row-based matchers.
* Adjustments based on code review.
- BoundDimFilter: fewer volatiles, rename matchesAnything to !matchesNothing.
- HavingSpecs: Clarify that they are not thread-safe, and make DimFilterHavingSpec
not thread safe.
- Renamed rowType to rowSignature.
- Added specializations for time-based vs non-time-based DimensionSelector in RBCSF.
- Added convenience method DimensionHanderUtils.createColumnSelectorPlus.
- Added singleton ZeroIndexedInts.
- Added test cases for DimFilterHavingSpec.
* Make ValueMatcherColumnSelectorStrategy actually use the associated selector.
* Add RangeIndexedInts.
* DimFilterHavingSpec: Fix concurrent usage guard on jdk7.
* Add assertion to ZeroIndexedInts.
* Rename no-longer-volatile members.
Google Cloud Storage allows `:` in paths. For this reason `google` was
not added to da007ca3c2/indexing-hadoop/src/main/java/io/druid/indexer/JobHelper.java (L585)
Normally this is not an issue but when reindexing segments the Hadoop
code for `getSplits` trips up on the `:` and returns:
`Relative path in absolute URI`
This patch URL encodes the `:` character making it work in Hadoop as
well.
* Use Long timestamp as key instead of DateTime.
DateTime representation is screwed up when you store with an obj
and read with a different DateTime obj.
For example: The code below fails when you use DateTime as key
```
DateTime odt = DateTime.now(DateTimeUtils.getZone(DateTimeZone.forID("America/Los_Angeles")));
HashMap<DateTime, String> map = new HashMap<>();
map.put(odt, "abc");
DateTime dt = new DateTime(odt.getMillis());
System.out.println(map.get(dt));
```
* Respect timezone when creating the file.
* Update docs with timezone caveat in granularity spec
* Remove unused imports
* Add support for timezone in segment granularity
* CR feedback. Handle null timezone during equals check.
* Include timezone in docs.
Add timezone for ArbitraryGranularitySpec.
- HLLC.fold avoids duplicating the other buffer by saving and restoring its position.
- HLLC.makeCollector(buffer) no longer duplicates incoming BBs.
- Updated call sites where appropriate to duplicate BBs passed to HLLC.
* ability to not rollup at index time, make pre aggregation an option
* rename getRowIndexForRollup to getPriorIndex
* fix doc misspelling
* test query using no-rollup indexes
* fix benchmark fail due to jmh bug
* Better handling for parseExceptions
* make parseException handling consistent with Realtime
* change combiner default val to true
* review comments
* review comments
Reverts "Update com.maxmind.geoip2 to 2.6.0" and exclude the google http client
from com.maxmind.geoip2. This should satisfy the original need from #2646 (wanting
to run Druid along with an upgraded com.google.http-client) while preventing
Jackson conflicts pointed out in #2717.
Fixes#2717.
This reverts commit 21b7572533.
- Add central doc for multi-value dimensions, with some content from other docs.
- Link to multi-value dimension doc from topN and groupBy docs.
- Fixes a broken link from dimensionspecs.md, which was presciently already
linking to this nonexistent doc.
- Resolve inconsistent naming in docs & code (sometimes "multi-valued", sometimes
"multi-value") in favor of "multi-value".
Geared towards supporting transactional inserts of new segments. This involves an
interface "DataSourceMetadata" that allows combining of partially specified metadata
(useful for partitioned ingestion).
DataSource metadata is stored in a new "dataSource" table.
* Eliminate exclusion groups from pull-deps
* Only consider dependency nodes in pull-deps if they are not in the following scopes
* provided
* test
* system
* Fix a bunch of `<scope>provided</scope>` missing tags
* Better exclusions for a couple of problematic libs
To bring consistency to docs and source this commit changes the default
values for maxRowsInMemory and rowFlushBoundary to 75000 after
discussion in PR https://github.com/druid-io/druid/pull/2457.
The previous default was 500000 and it's lower now on the grounds that
it's better for a default to be somewhat less efficient, and work,
than to reach for the stars and possibly result in
"OutOfMemoryError: java heap space" errors.
Two changes:
- Allow IncrementalIndex to suppress ParseExceptions on "aggregate".
- Add "reportParseExceptions" option to realtime tuning configs. By default this is "false".
Behavior of the counters should now be:
- processed: Number of rows indexed, including rows where some fields could be parsed and some could not.
- thrownAway: Number of rows thrown away due to rejection policy.
- unparseable: Number of rows thrown away due to being completely unparseable (no fields salvageable at all).
If "reportParseExceptions" is true then "unparseable" will always be zero (because a parse error would
cause an exception to be thrown). In addition, "processed" will only include fully parseable rows
(because even partial parse failures will cause exceptions to be thrown).
Fixes#2510.
add unit tests for IndexMergerV9 and fix some bugs
add more unit tests and fix bugs
handle null values and add more tests
minor changes & use LoggingProgressIndicator in IndexGeneratorReducer
make some static class public from IndexMerger
minor changes and add some comments
changes for comments
This is a feature meant to allow realtime tasks to work without being told upfront
what shardSpec they should use (so we can potentially publish a variable number
of segments per interval).
The idea is that there is a "pendingSegments" table in the metadata store that
tracks allocated segments. Each one has a segment id (the same segment id we know
and love) and is also part of a sequence.
The sequences are an idea from @cheddar that offers a way of doing replication.
If there are N tasks reading exactly the same data with exactly the same logic
(think Kafka tasks reading a fixed range of offsets) then you can place them
in the same sequence, and they will generate the same sequence of segments.
Jihoon Son
Roman Leventov
Parag Jain
Gian Merlino
praveev
Himanshu
Goh Wei Xiang
Charles Allen
T R Kyaw
Yuewen Wang
Slim
Benedict Jin
Pierre
Roman Leventov
Akash Dwivedi
baruchz
DaimonPl
Erik Dubbelboer
Jonathan Wei
Navis Ryu
Fokko Driesprong
Dave Li
Hamlet Lee
kaijianding
Hyukjin Kwon
Nishant
David Lim
jon-wei
binlijin
Fangjin Yang
Bingkun Guo
gaodayue
Björn Zettergren
Kurt Young
dclim
Xavier Léauté