* 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.
few fixes
delete intermediate file early
better exception handling
use static pattern instead of compiling it every time
Add retry for transient exceptions
remove usage of deprecated method.
Add test
fix imports
fix javadoc
review comment.
review comment: handle crazy snapshot naming
review comments
remove default retry count in favour of already present constant
review comment
make random intermediate and final paths.
review comment, use temporaryFolder where possible
so that user hadoop related InputRowParsers are created only when needed
this allows overlord to accept a HadoopIndexTask with a hadoopy InputRowParser
and not fail because hadoopy InputRowParser might need hadoop libraries
Adding input paths will create Path and FileSystem instances which may depend on the values in the job config.
This allows all properties to be set from the spec file, avoiding having to directly edit cluster xml files.
IndexGeneratorJob.run adds job properties before adding input paths (adding input paths may depend on having job properies set)
JobHelperTest confirms that JobHelper.ensurePaths adds job properties
javadoc for addInputPaths to explain relationship with
addJobProperties
* Moves many items to JobHelper
* Remove dependencies of these functions on HadoopDruidIndexerConfig in favor of more general items
* Changes functionalities of some of the path methods to always return a path with scheme
* Adds retry to uploads
* Change output loadSpec determining from using outputFS.getClass().getName() to using outputFS.getScheme()
- compression for single-value dimensions using CompressedVSizeIntsIndexedSupplier
- makes dimension compression configurable via IndexSpec
- IndexSpec also enables configuring bitmap and metric compression
- Switch to using Druid parent POM
- Add required fields for Sonatype
- Common plugin versions and settings have been moved to the parent pom
- Cleanup artifacts and POMs for consistent formatting
- Remove org.hyperic.sigar dependency and update docs to reflect necessary jars to add at runtime when sigar is needed
- For now uses a hardcoded ratio of aggregator to timeanddim buffer sizes
- canAppendRow is a workaround for realtime index since the
Firehose currently does not have a way of rolling back the last event in
case of error
- canAppendRow needs a fudge factor; there is a race between checking
if we can add a row and actually adding a row, because of the way MapDB
reports its size.
* Change "schema" --> "spec" for cli hadoop to keep up with internal hadoop
* Added check for HadoopDruidIndexerConfig deserialization from Map to see if it is trying to get a HadoopDruidIndexerConfig or a HadoopIngestionSpec
* Change "schema" --> "spec" for cli hadoop to keep up with internal hadoop
* Added check for HadoopDruidIndexerConfig deserialization from Map to see if it is trying to get a HadoopDruidIndexerConfig or a HadoopIngestionSpec