After enabling parallel builds for "mvn install", the sigar dependency
would sometimes resolve to the incorrect artifact repo for some of the
maven modules. This issue seems to be fixed by moving the definition of
the sigar dependency's artifact repo to the root POM.
Also, depending on network speeds, "mvn -q install" may take longer than
the default 10 minute timeout to print any output. Use travis_wait to
extend the timeout to 15 minutes.
Reorganize Travis CI jobs into smaller faster (and more) jobs. Add
various maven options to skip unnecessary work and refactored Travis CI
job definitions to follow DRY.
Detailed changes:
.travis.yml
- Refactor build logic to get rid of copy-and-paste logic
- Skip static checks and enable parallelism for maven install
- Split static analysis into different jobs to ease triage
- Use "name" attribute instead of NAME environment variable
- Split "indexing" and "web console" out of "other modules test"
- Split 2 integration test jobs into multiple smaller jobs
build.sh
- Enable parallelism
- Disable more static checks
travis_script_integration.sh
travis_script_integration_part2.sh
integration-tests/README.md
- Use TestNG groups instead of shell scripts and move definition of jobs
into Travis CI yaml
integration-tests/pom.xml
- Show elapsed time of individual tests to aid in future rebalancing of
Travis CI integration test jobs run time
TestNGGroup.java
- Use TestNG groups to make it easy to have multiple Travis CI
integration test jobs. TestNG groups also make it easier to have an
"other" integration test group and make it less likely a test will
accidentally not be included in a CI job.
IT*Test.java
AbstractITBatchIndexTest.java
AbstractKafkaIndexerTest.java
- Add TestNG group
- Fix various IntelliJ inspection warnings
- Reduce scope of helper methods since the TestNG group annotation on
the class makes TestNG consider all public methods as test methods
pom.xml
- Allow enforce plugin to be run from command-line
- Bump resources plugin version so that "[debug] execute contextualize"
output is correctly suppressed by "mvn -q"
- Bump exec plugin version so that skip property is renamed from "skip"
to "exec.skip"
web-console/pom.xml
- Add property to allow disabling javascript-related work. This property
is overridden in Travis CI to speed up the jobs.
* Add IPv4 druid expressions
New druid expressions for filtering IPv4 addresses:
- ipv4address_match: Check if IP address belongs to a subnet
- ipv4address_parse: Convert string IP address to long
- ipv4address_stringify: Convert long IP address to string
These expressions operate on IP addresses represented as either strings
or longs, so that they can be applied to dimensions with mixed
representation of IP addresses. The filtering is more efficient when
operating on IP addresses as longs. In other words, the intended use
case is:
1) Use ipv4address_parse to convert to long at ingestion time
2) Use ipv4address_match to filter (on longs) at query time
3) Use ipv4adress_stringify to convert to (readable) string at query
time
* Fix licenses and null handling
* Simplify IPv4 expressions
* Fix tests
* Fix check for valid ipv4 address string
* Fix dependency analyze warnings
Update the maven dependency plugin to the latest version and fix all
warnings for unused declared and used undeclared dependencies in the
compile scope. Added new travis job to add the check to CI. Also fixed
some source code files to use the correct packages for their imports.
* Fix licenses and dependencies
* Fix licenses and dependencies again
* Fix integration test dependency
* Address review comments
* Fix unit test dependencies
* Fix integration test dependency
* Fix integration test dependency again
* Fix integration test dependency third time
* Fix integration test dependency fourth time
* Fix compile error
* Fix assert package
* Benchmarks: New SqlBenchmark, add caching & vectorization to some others.
- Introduce a new SqlBenchmark geared towards benchmarking a wide
variety of SQL queries. Rename the old SqlBenchmark to
SqlVsNativeBenchmark.
- Add (optional) caching to SegmentGenerator to enable easier
benchmarking of larger segments.
- Add vectorization to FilteredAggregatorBenchmark and GroupByBenchmark.
* Query vectorization.
This patch includes vectorized timeseries and groupBy engines, as well
as some analogs of your favorite Druid classes:
- VectorCursor is like Cursor. (It comes from StorageAdapter.makeVectorCursor.)
- VectorColumnSelectorFactory is like ColumnSelectorFactory, and it has
methods to create analogs of the column selectors you know and love.
- VectorOffset and ReadableVectorOffset are like Offset and ReadableOffset.
- VectorAggregator is like BufferAggregator.
- VectorValueMatcher is like ValueMatcher.
There are some noticeable differences between vectorized and regular
execution:
- Unlike regular cursors, vector cursors do not understand time
granularity. They expect query engines to handle this on their own,
which a new VectorCursorGranularizer class helps with. This is to
avoid too much batch-splitting and to respect the fact that vector
selectors are somewhat more heavyweight than regular selectors.
- Unlike FilteredOffset, FilteredVectorOffset does not leverage indexes
for filters that might partially support them (like an OR of one
filter that supports indexing and another that doesn't). I'm not sure
that this behavior is desirable anyway (it is potentially too eager)
but, at any rate, it'd be better to harmonize it between the two
classes. Potentially they should both do some different thing that
is smarter than what either of them is doing right now.
- When vector cursors are created by QueryableIndexCursorSequenceBuilder,
they use a morphing binary-then-linear search to find their start and
end rows, rather than linear search.
Limitations in this patch are:
- Only timeseries and groupBy have vectorized engines.
- GroupBy doesn't handle multi-value dimensions yet.
- Vector cursors cannot handle virtual columns or descending order.
- Only some filters have vectorized matchers: "selector", "bound", "in",
"like", "regex", "search", "and", "or", and "not".
- Only some aggregators have vectorized implementations: "count",
"doubleSum", "floatSum", "longSum", "hyperUnique", and "filtered".
- Dimension specs other than "default" don't work yet (no extraction
functions or filtered dimension specs).
Currently, the testing strategy includes adding vectorization-enabled
tests to TimeseriesQueryRunnerTest, GroupByQueryRunnerTest,
GroupByTimeseriesQueryRunnerTest, CalciteQueryTest, and all of the
filtering tests that extend BaseFilterTest. In all of those classes,
there are some test cases that don't support vectorization. They are
marked by special function calls like "cannotVectorize" or "skipVectorize"
that tell the test harness to either expect an exception or to skip the
test case.
Testing should be expanded in the future -- a project in and of itself.
Related to #3011.
* WIP
* Adjustments for unused things.
* Adjust javadocs.
* DimensionDictionarySelector adjustments.
* Add "clone" to BatchIteratorAdapter.
* ValueMatcher javadocs.
* Fix benchmark.
* Fixups post-merge.
* Expect exception on testGroupByWithStringVirtualColumn for IncrementalIndex.
* BloomDimFilterSqlTest: Tag two non-vectorizable tests.
* Minor adjustments.
* Update surefire, bump up Xmx in Travis.
* Some more adjustments.
* Javadoc adjustments
* AggregatorAdapters adjustments.
* Additional comments.
* Remove switching search.
* Only missiles.
* Add the pull-request template
* Rewording
* Replaced checklist link, added Rat exclusion
* Update the PR template. Add Concurrency Checklist to the repository
* Merge Description and Design sections. Softer language. Removed requirement to test in production environment. Added a committer's instruction to justify addition of meta tags.
* Rephrase item about comments
* Add license header
* Add item to concurrency checklist
* Add Spotbugs
Exclude all the issues for now, so we can add them one by one.
(cherry picked from commit ceda4754dc8c703d1e0de85b48cd5f5409cfd5b7)
* Add additional rules to the list
* More rules
* More rules
* Add comments to the xml
* Move the spotbugs-exclude.xml to codestyle/
This change only enables compilation to ensure code compiles against
recent Java versions going forward. Tests are still disabled in this
profile until test failures are addressed.
* Upgrade various build and doc links to https.
Where it wasn't possible to upgrade build-time dependencies to https,
I kept http in place but used hardcoded checksums or GPG keys to ensure
that artifacts fetched over http are verified properly.
* Switch to https://apache.org.
* Bump Checkstyle to 8.20
Moderate severity vulnerability that affects:
com.puppycrawl.tools:checkstyle
Checkstyle prior to 8.18 loads external DTDs by default,
which can potentially lead to denial of service attacks
or the leaking of confidential information.
Affected versions: < 8.18
* Oops, missed one
* Oops, missed a few
* use relative link to build instructions from top level readme
* add textfile to readme
* formatting
* make README.BINARY plaintext, move LABELS.md to LABELS, README.txt to README
* exclude README.BINARY still
* remove jdk links/recommmendations
* add script to use DRUIDVERSION in textfile README instead of latest, add links to recommended jdk to build.md
* license
* better readme template, links to latest if does not detect an apache release version
* fix
* First set of changes for tDigest histogram
* Add license
* Address code review comments
* Add a doc page for new T-Digest sketch aggregators. Minor code cleanup and comments.
* Remove synchronization from BufferAggregators. Address code review comments
* Fix typo
* update easymock / powermock for to 4.0.2 / 2.0.2 for JDK11 support
* update tests to use new easymock interfaces
* fix tests failing due to easymock fixes
* remove dependency on jmockit
* fix race condition in ResourcePoolTest
* Contributing Moving-Average Query to open source.
* Fix failing code inspections.
* See if explicit types will invoke the correct comparison function.
* Explicitly remove support for druid.generic.useDefaultValueForNull configuration parameter.
* Update styling and headers for complience.
* Refresh code with latest master changes:
* Remove NullDimensionSelector.
* Apply changes of RequestLogger.
* Apply changes of TimelineServerView.
* Small checkstyle fix.
* Checkstyle fixes.
* Fixing rat errors; Teamcity errors.
* Removing support theta sketches. Will be added back in this pr or a following once DI conflicts with datasketches are resolved.
* Implements some of the review fixes.
* Contributing Moving-Average Query to open source.
* Fix failing code inspections.
* See if explicit types will invoke the correct comparison function.
* Explicitly remove support for druid.generic.useDefaultValueForNull configuration parameter.
* Update styling and headers for complience.
* Refresh code with latest master changes:
* Remove NullDimensionSelector.
* Apply changes of RequestLogger.
* Apply changes of TimelineServerView.
* Small checkstyle fix.
* Checkstyle fixes.
* Fixing rat errors; Teamcity errors.
* Removing support theta sketches. Will be added back in this pr or a following once DI conflicts with datasketches are resolved.
* Implements some of the review fixes.
* More fixes for review.
* More fixes from review.
* MapBasedRow is Unmodifiable. Create new rows instead of modifying existing ones.
* Remove more changes related to datasketches support.
* Refactor BaseAverager startFrom field and add a comment.
* fakeEvents field: Refactor initialization and add comment.
* Rename parameters (tiny change).
* Fix variable name typo in test (JAN_4).
* Fix styling of non camelCase fields.
* Fix Preconditions.checkArgument for cycleSize.
* Add more documentation to RowBucketIterable and other classes.
* key/value comment on in MovingAverageIterable.
* Fix anonymous makeColumnValueSelector returning null.
* Replace IdentityYieldingAccumolator with Yielders.each().
* * internalNext() should return null instead of throwing exception.
* Remove unused variables/prarameters.
* Harden MovingAverageIterableTest (Switch anyOf to exact match).
* Change internalNext() from recursion to iteration; Simplify next() and hasNext().
* Remove unused imports.
* Address review comments.
* Rename fakeEvents to emptyEvents.
* Remove redundant parameter key from computeMovingAverage.
* Check yielder as well in RowBucketIterable#hasNext()
* Fix javadoc.
* orc extension reworked to use apache orc map-reduce lib, moved to core extensions, support for flattenSpec, tests, docs
* change binary handling to be compatible with avro and parquet, Rows.objectToStrings now converts byte[] to base64, change date handling
* better docs and tests
* fix it
* formatting
* doc fix
* fix it
* exclude redundant dependencies
* use latest orc-mapreduce, add hadoop jobProperties recommendations to docs
* doc fix
* review stuff and fix binaryAsString
* cache for root level fields
* more better
* Move GCP to a core extension
* Don't provide druid-core >.<
* Keep AWS and GCP modules separate
* Move AWSModule to its own module
* Add aws ec2 extension and more modules in more places
* Fix bad imports
* Fix test jackson module
* Include AWS and GCP core in server
* Add simple empty method comment
* Update version to 15
* One more 0.13.0-->0.15.0 change
* Fix multi-binding problem
* Grep for s3-extensions and update docs
* Update extensions.md
* Support kafka transactional topics
* update kafka to version 2.0.0
* Remove the skipOffsetGaps option since it's not used anymore
* Adjust kafka consumer to use transactional semantics
* Update tests
* Remove unused import from test
* Fix compilation
* Invoke transaction api to fix a unit test
* temporary modification of travis.yml for debugging
* another attempt to get travis tasklogs
* update kafka to 2.0.1 at all places
* Remove druid-kafka-eight dependency from integration-tests, remove the kafka firehose test and deprecate kafka-eight classes
* Add deprecated in docs for kafka-eight and kafka-simple extensions
* Remove skipOffsetGaps and code changes for transaction support
* Fix indentation
* remove skipOffsetGaps from kinesis
* Add transaction api to KafkaRecordSupplierTest
* Fix indent
* Fix test
* update kafka version to 2.1.0
* Adding new web console.
* fixed css
* fix form height
* fix typo
* do import custom react-table css
* added repo field so npm does not complain
* ask travis for node 10
* move indexing-service/src/main/resources/indexer_static into web-console
* fix resource names and paths
* add licenses
* fix exclude file
* add licenses to misc files and tidy up
* remove rebase marker
* fix link
* updated env variable name
* tidy up licenses and surface errors
* cleanup
* remove unused code, fix missing await
* TeamCity does not like the name aux
* add more links to tasks view
* rm pages
* update gitignore
* update readme to be accurate
* make clean script
* removed old console dependancy
* update Jetty routes
* add a comment for welcome files for coordinator
* do not show inital notifaction for now
* renamed overlord console back to console.html
* fix coordinator console
* rename coordinator-console.html to index.html
* KillTask from overlord UI now makes sure that it terminates the underlying MR job, thus saving unnecessary compute
Run in jobby is now split into 2
1. submitAndGetHadoopJobId followed by 2. run
submitAndGetHadoopJobId is responsible for submitting the job and returning the jobId as a string, run monitors this job for completion
JobHelper writes this jobId in the path provided by HadoopIndexTask which in turn is provided by the ForkingTaskRunner
HadoopIndexTask reads this path when kill task is clicked to get hte jobId and fire the kill command via the yarn api. This is taken care in the stopGracefully method which is called in SingleTaskBackgroundRunner. Have enabled `canRestore` method to return `true` for HadoopIndexTask in order for the stopGracefully method to be called
Hadoop*Job files have been changed to incorporate the changes to jobby
* Addressing PR comments
* Addressing PR comments - Fix taskDir
* Addressing PR comments - For changing the contract of Task.stopGracefully()
`SingleTaskBackgroundRunner` calls stopGracefully in stop() and then checks for canRestore condition to return the status of the task
* Addressing PR comments
1. Formatting
2. Removing `submitAndGetHadoopJobId` from `Jobby` and calling writeJobIdToFile in the job itself
* Addressing PR comments
1. POM change. Moving hadoop dependency to indexing-hadoop
* Addressing PR comments
1. stopGracefully now accepts TaskConfig as a param
Handling isRestoreOnRestart in stopGracefully for `AppenderatorDriverRealtimeIndexTask, RealtimeIndexTask, SeekableStreamIndexTask`
Changing tests to make TaskConfig param isRestoreOnRestart to true
* created seekablestream classes
* created seekablestreamsupervisor class
* first attempt to integrate kafa indexing service to use SeekableStream
* seekablestream bug fixes
* kafkarecordsupplier
* integrated kafka indexing service with seekablestream
* implemented resume/suspend and refactored some package names
* moved kinesis indexing service into core druid extensions
* merged some changes from kafka supervisor race condition
* integrated kinesis-indexing-service with seekablestream
* unite tests for kinesis-indexing-service
* various bug fixes for kinesis-indexing-service
* refactored kinesisindexingtask
* finished up more kinesis unit tests
* more bug fixes for kinesis-indexing-service
* finsihed refactoring kinesis unit tests
* removed KinesisParititons and KafkaPartitions to use SeekableStreamPartitions
* kinesis-indexing-service code cleanup and docs
* merge #6291
merge #6337
merge #6383
* added more docs and reordered methods
* fixd kinesis tests after merging master and added docs in seekablestream
* fix various things from pr comment
* improve recordsupplier and add unit tests
* migrated to aws-java-sdk-kinesis
* merge changes from master
* fix pom files and forbiddenapi checks
* checkpoint JavaType bug fix
* fix pom and stuff
* disable checkpointing in kinesis
* fix kinesis sequence number null in closed shard
* merge changes from master
* fixes for kinesis tasks
* capitalized <partitionType, sequenceType>
* removed abstract class loggers
* conform to guava api restrictions
* add docker for travis other modules test
* address comments
* improve RecordSupplier to supply records in batch
* fix strict compile issue
* add test scope for localstack dependency
* kinesis indexing task refactoring
* comments
* github comments
* minor fix
* removed unneeded readme
* fix deserialization bug
* fix various bugs
* KinesisRecordSupplier unable to catch up to earliest position in stream bug fix
* minor changes to kinesis
* implement deaggregate for kinesis
* Merge remote-tracking branch 'upstream/master' into seekablestream
* fix kinesis offset discrepancy with kafka
* kinesis record supplier disable getPosition
* pr comments
* mock for kinesis tests and remove docker dependency for unit tests
* PR comments
* avg lag in kafkasupervisor #6587
* refacotred SequenceMetadata in taskRunners
* small fix
* more small fix
* recordsupplier resource leak
* revert .travis.yml formatting
* fix style
* kinesis docs
* doc part2
* more docs
* comments
* comments*2
* revert string replace changes
* comments
* teamcity
* comments part 1
* comments part 2
* comments part 3
* merge #6754
* fix injection binding
* comments
* KinesisRegion refactor
* comments part idk lol
* can't think of a commit msg anymore
* remove possiblyResetDataSourceMetadata() for IncrementalPublishingTaskRunner
* commmmmmmmmmments
* extra error handling in KinesisRecordSupplier getRecords
* comments
* quickfix
* typo
* oof
* Double-checked locking bug is fixed.
* @Nullable is removed since there is no need to use along with @MonotonicNonNull.
* Static import is removed.
* Lazy initialization is implemented.
* Local variables used instead of volatile ones.
* Local variables used instead of volatile ones.
* Add checkstyle rules about imports and empty lines between members
* Add suppressions
* Update Eclipse import order
* Add empty line
* Fix StatsDEmitter
* move parquet-extensions from contrib to core, adds new hadoop parquet parser that does not convert to avro first and supports flattenSpec and int96 columns, add support for flattenSpec for parquet-avro conversion parser, much test with a bunch of files lifted from spark-sql
* fix avro flattener to support nullable primitives for auto discovery and now only supports primitive arrays instead of all arrays
* remove leftover print
* convert micro timestamp to millis
* checkstyle
* add ignore for .parquet and .parq to rat exclude
* fix legit test failure from avro flattern behavior change
* fix rebase
* add exclusions to pom to cut down on redundant jars
* refactor tests, add support for unwrapping lists for parquet-avro, review comments
* more comment
* fix oops
* tweak parquet-avro list handling
* more docs
* fix style
* grr styles
* Apache-ize POM
* put revision information into MANIFEST.MF for binary release
* remove nightly profile
* fix flaky travis by overriding maven-remote-resources-plugin execution from the parent POM
This PR accumulates many refactorings and small improvements that I did while preparing the next change set of https://github.com/druid-io/druid/projects/2. I finally decided to make them a separate PR to minimize the volume of the main PR.
Some of the changes:
- Renamed confusing "Generic Column" term to "Numeric Column" (what it actually implies) in many class names.
- Generified `ComplexMetricExtractor`
* SQL: Update to Calcite 1.17.0.
Other than keeping things fresh, another motivation is that
this fixes CALCITE-1436 (AggregateNode NPE for aggregators other
than SUM/COUNT), which affects aggregate functions on our system
tables.
Also sets shouldConvertRaggedUnionTypesToVarying = true, a new
type system parameter that prefers VARCHAR over CHAR. This is
better for Druid, because we don't really have support for a
true CHAR type.
* Remove unused import.
* Adding licenses and enable apache-rat-plugi.
Change-Id: I4685a2d9f1e147855dba69329b286f2d5bee3c18
* restore the copywrite of demo_table and add it to the list of allowed ones
Change-Id: I2a9efde6f4b984bc1ac90483e90d98e71f818a14
* revirew comments
Change-Id: I0256c930b7f9a5bb09b44b5e7a149e6ec48cb0ca
* more fixup
Change-Id: I1355e8a2549e76cd44487abec142be79bec59de2
* align
Change-Id: I70bc47ecb577bdf6b91639dd91b6f5642aa6b02f
* allow 1 retry for failing tests idk if this is a good idea, but false failure rate due to flaky tests seems pretty bad lately
* try to fix retry issue with teardown
* Update pom.xml
* Update pom.xml
* Rename io.druid to org.apache.druid.
* Fix META-INF files and remove some benchmark results.
* MonitorsConfig update for metrics package migration.
* Reorder some dimensions in inner queries for some reason.
* Fix protobuf tests.
* SQL: Support more result formats, add columns header.
- Add result formats for line-based JSON and CSV.
- Add X-Druid-Sql-Columns header with a list of all columns that
the response will contain.
- Add more comprehensive documentation on what callers should expect
when making Druid SQL queries.
* Fix some tests.
* Adjust tests.
* Adjust trailer, add types header.
* Fix trailers.
* Update JSONPath Library
Re: #5792
- Add a unit test containing a JSONPath conditional
- Update the JSONPath library and no longer exclude the json-smart dependency.
- I believe the original reason for excluding this has been fixed: https://github.com/json-path/JsonPath/pull/315
* Add test
* Fix test
* implement materialized view
* modify code according to jihoonson's comments
* modify code according to jihoonson's comments - 2
* add documentation about materialized view
* use new HadoopTuningConfig in pr 5583
* add minDataLag and fix optimizer bug
* correct value of DEFAULT_MIN_DATA_LAG_MS
* modify code according to jihoonson's comments - 3
* use the boolean expression instead of if-else
* Use the official aws-sdk instead of jet3t
* fix compile and serde tests
* address comments and fix test
* add http version string
* remove redundant dependencies, fix potential NPE, and fix test
* resolve TODOs
* fix build
* downgrade jackson version to 2.6.7
* fix test
* resolve the last TODO
* support proxy and endpoint configurations
* fix build
* remove debugging log
* downgrade hadoop version to 2.8.3
* fix tests
* remove unused log
* fix it test
* revert KerberosAuthenticator change
* change hadoop-aws scope to provided in hdfs-storage
* address comments
* address comments
* Future-proof some Guava usage
* Use a java-util EmptyIterator instead of Guava's
* Change some of the guava future handling to do manual async
transforms. Guava changes transform into transformAsync by deprecating
transform in ONLY Guava 19. Then its gone in 20
* Use `Collections.emptyIterator()`
* Pretty formatting
* Make listenable future transforms a thing in default druid
* Format fix
* Add forbidden guava apis
* Make the ListenableFutrues.transformAsync have comments
* Undo intellij bad pattern matching in comments
* Futrues --> Futures
* Add empty iterators forbidding
* Fix extra `A`
* Correct method signature
* Address review comments
* Finish Gian review comments
* Proper syntax from https://github.com/policeman-tools/forbidden-apis/wiki/SignaturesSyntax
Druid relies on the page cache of Linux in order to have memory segments.
However when loading segments from deep storage or rebalancing the page
cache can get poisoned by segments that should not be in memory yet.
This can significantly slow down Druid in case rebalancing happens
as data that might not be queried often is suddenly in the page cache.
This PR implements the same logic as is in Apache Cassandra and Apache
Bookkeeper.
Closes#4746
* opentsdb emitter extension
* doc for opentsdb emitter extension
* update opentsdb emitter doc
* add the ms unit to the constant name
* add a configurable event limit
* fix version to 0.13.0-SNAPSHOT
* using a thread to consume metric event
* rename method and parameter
* Use both Joad Ids and Java IDs as Timezone to string readers
Change-Id: Ieb5c18559879f3f3a0104912ce2f0a354ad0aac3
* move the function to DateTimes and add org.joda.time.DateTimeZone#forID as part of forbidden api
Change-Id: Iff97fa044758019ed0c231587d10e31a9cc18da0
* exclude class and remove other usage
Change-Id: Ib458c2caaa1865535767e1009fbf017a92c8f615
* remove it from test classes
Change-Id: I9b576324f6c7e17a74bd8b13879232c9a8cd40b4
* remove unused
Change-Id: If1c5b70c26c2b7c83c20434cb72b2060653f5052
* IT: Switch to OpenJDK8 base image.
Also split the Docker image into a base image and a child image, and
build the base image ahead of time for efficiency's sake. Also upgrade
ZK to 3.4.10.
* Additional comments about ZK upgrades.
* Introduce System wide property to select how to store double.
Set the default to store as float
Change-Id: Id85cca04ed0e7ecbce78624168c586dcc2adafaa
* fix tests
Change-Id: Ib42db724b8a8f032d204b58c366caaeabdd0d939
* Change the property name
Change-Id: I3ed69f79fc56e3735bc8f3a097f52a9f932b4734
* add tests and make default distribution store doubles as 64bits
Change-Id: I237b07829117ac61e247a6124423b03992f550f2
* adding mvn argument to parallel-test profile
Change-Id: Iae5d1328f901c4876b133894fa37e0d9a4162b05
* move property name and helper function to io.druid.segment.column.Column
Change-Id: I62ea903d332515de2b7ca45c02587a1b015cb065
* fix docs and clean style
Change-Id: I726abb8f52d25dc9dc62ad98814c5feda5e4d065
* fix docs
Change-Id: If10f4cf1e51a58285a301af4107ea17fe5e09b6d
* SQL: Upgrade to Calcite 1.14.0, some refactoring of internals.
This brings benefits:
- Ability to do GROUP BY and ORDER BY with ordinals.
- Ability to support IN filters beyond 19 elements (fixes#4203).
Some refactoring of druid-sql internals:
- Builtin aggregators and operators are implemented as SqlAggregators
and SqlOperatorConversions rather being special cases. This simplifies
the Expressions and GroupByRules code, which were becoming complex.
- SqlAggregator implementations are no longer responsible for filtering.
Added new functions:
- Expressions: strpos.
- SQL: TRUNCATE, TRUNC, LENGTH, CHAR_LENGTH, STRLEN, STRPOS, SUBSTR,
and DATE_TRUNC.
* Add missing @Override annotation.
* Adjustments for forbidden APIs.
* Adjustments for forbidden APIs.
* Disable GROUP BY alias.
* Doc reword.
* 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.
* Move caffeine out of extension.
* Remove `JsonTypeName` from the class itself
* Fix bad docs
* Fix distribution pom
* Fix unused import
* Make caffeine default
* Address code comments
* Add more description around the jre version in the readme
* Add suggested comments
* Move emitters from io.druid.server.initialization to the dedicated io.druid.server.emitter package; Update emitter library to 0.6.0; Add support for ParametrizedUriEmitter; Support hierarical properties in JsonConfigurator (was needed for ParametrizedUriEmitter)
* Log created RequestLoggers
* Fix forbidden API
* Test fix
* More Http and Parametrized Http Emitter docs
* Switch to debug level
* Move scan-query from a contrib extension into core.
Based on a proposal at: https://groups.google.com/d/topic/druid-development/ME_OatUDnbk/discussion
This patch also adds support for virtual columns to the Scan query,
and updates Druid SQL to use Scan instead of Select.
This patch also makes some behavioral changes to handling of the __time
column. In particular, it is now is returned as "__time" rather than
"timestamp"; it is no longer included if you do not specifically ask for
it in your "columns"; and it is returned as a long rather than a string.
Users can revert time handling to the legacy extension behavior by
setting "legacy" : true in their queries, or setting the property
druid.query.scan.legacy = true. This is meant to provide a migration
path for users that were formerly using the contrib extension.
* Adjustments from review.
* Add back Select query.
* Adjust SQL docs.
* Restore SelectQuery link.
* add jq expression in the flattenSpec
* more tests
* add benchmark
* fix style
* use JsonNode for both JSONPath and JQ
* clean up
* more clean up
* add documentation
* fix style
* move jackson-jq version to dependencyManagement section. remove commented code
* oops. revert wrong fix
* throw IllegalArgumentException for JQ syntax error
* remove e.printStackTrace() that is forbidden
* touch
* Use trusty for travis jobs.
The distro was set to "precise" in #4572 due to memory issues on trusty,
but we've been seeing performance issues on "precise" recently so let's
see how trusty is working these days.
* Less quiet.
* Adjust memory settings.
* Add back -q option.
* Tweak memory again.
* Adjustments.
* Try squeezing memory a bit more.
* 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.
* 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
* move ProtoBufInputRowParser from processing module to protobuf extensions
* Ported PR #3509
* add DynamicMessage
* fix local test stuff that slipped in
* add license header
* removed redundant type name
* removed commented code
* fix code style
* rename ProtoBuf -> Protobuf
* pom.xml: shade protobuf classes, handle .desc resource file as binary file
* clean up error messages
* pick first message type from descriptor if not specified
* fix protoMessageType null check. add test case
* move protobuf-extension from contrib to core
* document: add new configuration keys, and descriptions
* update document. add examples
* move protobuf-extension from contrib to core (2nd try)
* touch
* include protobuf extensions in the distribution
* fix whitespace
* include protobuf example in the distribution
* example: create new pb obj everytime
* document: use properly quoted json
* fix whitespace
* bump parent version to 0.10.1-SNAPSHOT
* ignore Override check
* touch
* 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
* Initial commit
* Apply another config: clustername
* Rename variable
* Fix bug
* Add retry logic
* Edit retry logic
* Upgrade kafka-clients version to the most recent release
* Make callback single object
* Write documentation
* Rewrite error message and emit logic
* Handling AlertEvent
* Override toString()
* make clusterName more optional
* bump up druid version
* add producer.config option which make user can apply another optional config value of kafka producer
* remove potential blocking in emit()
* using MemoryBoundLinkedBlockingQueue
* Fixing coding convention
* Remove logging every exception and just increment counting
* refactoring
* trivial modification
* logging when callback has exception
* Replace kafka-clients 0.10.1.1 with 0.10.2.0
* Resolve the problem related of classloader
* adopt try statement
* code reformatting
* make variables final
* rewrite toString
* Monomorphic processing: add HotLoopCallee, CalledFromHotLoop, RuntimeShapeInspector, SpecializationService. Specialize topN queries with 1 or 2 aggregators. Add Cursor.advanceUninterruptibly() and isDoneOrInterrupted() for exception-free query processing.
* Use Execs.singleThreaded()
* RuntimeShapeInspector to support nullable fields
* Make CalledFromHotLoop annotation Inherited
* Remove unnecessary conversion of array of ColumnSelectorPluses to list and back to array in CardinalityAggregatorFactory
* Close InputStream in SpecializationService
* Formatting
* Test specialized PooledTopNScanners
* Set flags in PooledTopNAlgorithm directly
* Fix tests, dependent on CountAggragatorFactory toString() form
* Fix
* Revert CountAggregatorFactory changes
* Implement inspectRuntimeShape() for LongWrappingDimensionSelector and FloatWrappingDimensionSelector
* Remove duplicate RoaringBitmap dependency in the extendedset pom.xml
* Fix
* Treat ByteBuffers specially in StringRuntimeShape
* Doc fix
* Annotate BufferAggregator.init() with CalledFromHotLoop
* Make triggerSpecializationIterationsThreshold an int
* Remove SpecializationService.PerPrototypeClassState.of()
* Add comments
* Limit the amount of specializations that SpecializationService could make
* Add default implementation for BufferAggregator.inspectRuntimeShape(), for compatibility with extensions
* Use more efficient ConcurrentMap's idioms in SpecializationService
* Allow compilation as Java8 source and target for everything except API
* Remove conditions in tests which assume that we may run with Java 7
* Update easymock to 3.4
* Make Animal Sniffer to check Java 1.8 usage; remove redundant druid-caffeine-cache configuration
* Use try-with-resources in LargeColumnSupportedComplexColumnSerializerTest.testSanity()
* Remove java7 special for druid-api
* 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.
* Add extension for supporting kerberos security
- This PR adds an extension for supporting druid authentication via
Kerberos.
- Working on the docs.
* Add docs
* review comments
* more review comments
* Block all paths by default
* more review comments - use proper Oid
* Allow extensions to override httpclient for integration tests
* Add kerberos lock to prevent multithreaded issues.
* review comment - remove enabled flag and fix router injection
* Add Cookie Handling and more detailed docs
* review comment - rename DruidKerberosConfig -> AuthKerberosConfig
* review comments
* fix travis failure on jdk7
* streaming version of select query
* use columns instead of dimensions and metrics;prepare for valueVector;remove granularity
* respect query limit within historical
* use constant
* fix thread name corrupted bug when using jetty qtp thread rather than processing thread while working with SpecificSegmentQueryRunner
* add some test for scan query
* add scan query document
* fix merge conflicts
* add compactedList resultFormat, this format is better for json ser/der
* respect query timeout
* respect query limit on broker
* use static consts and remove unused code
* Exclude the transitive dependency LGPL jar since it is not needed
* add reason why exclude
* exclude from the root dependency
* add banning tool to enforce exclusions
* Lookup cache refactoring (the main part of druid-io/druid#3667)
* Use PowerMock's static methods in NamespaceLookupExtractorFactoryTest
* Fix KafkaLookupExtractorFactoryTest
* Use VisibleForTesting annotation instead of Javadoc comment
* Create a NamespaceExtractionCacheManager separately for each test in NamespaceExtractionCacheManagersTest
* Rename CacheScheduler.NoCache.ENTRY_DISPOSED to ENTRY_CLOSED
* Reduce visibility of NamespaceExtractionCacheManager.cacheCount() and monitor() implementations, and don't run NamespaceExtractionCacheManagerExecutorsTest with off-heap cache (it didn't before)
* In NamespaceLookupExtractorFactory, use safer idiom to check if CacheState is NoCache or VersionedCache
* More logging in CacheHandler constructor and close(), VersionedCache.close()
* PR comments addressed
* Make CacheScheduler.EntryImpl AutoCloseable, avoid 'dispose' verb in comments, logging and naming in CacheScheduler in favor of 'close'
* More Javadoc comments to CacheScheduler
* Fix NPE
* Remove logging in OnHeapNamespaceExtractionCacheManager.expungeCollectedCaches()
* Make NamespaceExtractionCacheManagersTest.testRacyCreation() to have similar load to what it be before the refactoring
* Unwrap NamespaceExtractionCacheManager.scheduledExecutorService from unneeded MoreExecutors.listeningDecorator() and specify that this is ScheduledThreadPoolExecutor, which ensures happens-before between periodic runs of the tasks
* More comments on MapDbCacheDisposer.disposed
* Replace concat with Long.toString()
* Comment on why NamespaceExtractionCacheManager.scheduledExecutorService() returns ScheduledThreadPoolExecutor
* Place logging statements in VersionedCache.close() and CacheHandler.close() after actual closing logic, because logging may fail
* Make JDBCExtractionNamespaceCacheFactory and StaticMapExtractionNamespaceCacheFactory to try to close newly created VersionedCache if population has failed, as it is done already in URIExtractionNamespaceCacheFactory
* Don't close the whole CacheScheduler.Entry, if the cache update task failed
* Replace AtomicLong updateCounter and firstRunLatch with Phaser-based UpdateCounter in CacheScheduler.EntryImpl
* Fix#3795 (Java 7 compatibility).
Also introduce Animal Sniffer checks during build, which would
have caught the original problems.
* Add Animal Sniffer on caffeine-cache for JDK8.
* Enable parallel test
* Remove unnecessary NotThreadSafe annocation
* Randomize the start port when finding available ports
* Fix test failure
* Change to handle all negatives
* Thrift ingestion plugin
1. thrift binary is platform dependent, use scrooge to generate java files to avoid style check failure
2. stream and hadoop ingesion are both supported, input format can be sequence file and lzo thrift block file.
3. base64 and protocol aware
change header
* fix conlicts in pom
* Deduplicate looking for bitset.nextSetBit() in BitSetIterator.next() and hasNext()
* Add BitmapIterationTest
* More elaborate comment on why Roaring is not tested in BitmapIterationTest
* Update emitter dependency to 0.4.0 and emit "version" dimension for all druid metrics, not only query metrics
* Remove unused imports
* Use empty string instead of "testing-version" as a version placeholder
Excludes tests from AvoidStaticImport, since those are used often there and
I didn't want to make this changeset too large. Production code use was minimal
and I switched those to non-static imports.
* Improve performance of StringDimensionMergerV9 and StringDimensionMergerLegacy by avoiding primitive int boxing by using IntIterator in IndexedInts instead of Iterator<Integer>; Extract some common logic for V9 and Legacy mergers; Minor improvements to resource handling in StringDimensionMergerV9
* Don't mask index in MergeIntIterator.makeQueueElement()
* DRY conversion RoaringBitmap's IntIterator to fastutil's IntIterator
* Do implement skip(n) in IntIterators extending AbstractIntIterator because original implementation is not reliable
* Use Test(expected=Exception.class) instead of try { } catch (Exception e) { /* ignore */ }
* InputRowParser to decode OrcStruct from OrcNewInputFormat
* add unit test for orc hadoop indexing
* update docs and fix test code bug
* doc updated
* resove maven dependency conflict
* remove unused imports
* fix returning array type from Object[] to correct primitive array type
* fix to support getDimension() of MapBasedRow : changing return type of orc list from array to list
* rebase and updated based on comments
* updated based on comments
* on reflecting review comments
* fix bug in typeStringFromParseSpec() and add unit test
* add license header
1) Modify CliHadoopIndexer to share constant from `TaskConfig.DEFAULT_DEFAULT_HADOOP_COORDINATES`
2) add comment to pom.xml as discussed in
https://github.com/druid-io/druid/pull/3044
fix name
* Initial commit of caffeine cache
* Address code comments
* Move and fixup README.md a bit
* Improve caffeine readme information
* Cleanup caffeine pom
* Address review comments
* Bump caffeine to 2.3.1
* Bump druid version to 0.9.2-SNAPSHOT
* Make test not fail randomly.
See https://github.com/ben-manes/caffeine/pull/93#issuecomment-227617998 for an explanation
* Fix distribution and documentation
* Add caffeine to extensions.md
* Fix links in extensions.md
* Lexicographic
* support LookupReferencesManager registration of namespaced lookup and eliminate static configurations for lookup from namespecd lookup extensions
- druid-namespace-lookup and druid-kafka-extraction-namespace are modified
- However, druid-namespace-lookup still has configuration about ON/OFF
HEAP cache manager selection, which is not namespace wide
configuration but node wide configuration as multiple namespace shares
the same cache manager
* update KafkaExtractionNamespaceTest to reflect argument signature changes
* Add more synchronization functionality to NamespaceLookupExtractorFactory
* Remove old way of using extraction namespaces
* resolve compile error by supporting LookupIntrospectHandler
* Remove kafka lookups
* Remove unused stuff
* Fix start and stop behavior to be consistent with new javadocs
* Remove unused strings
* Add timeout option
* Address comments on configurations and improve docs
* Add more options and update hash key and replaces
* Move monitoring to the overriding classes
* Add better start/stop logging
* Remove old docs about namespace names
* Fix bad comma
* Add `@JsonIgnore` to lookup factory
* Address code review comments
* Remove ExtractionNamespace from module json registration
* Fix problems with naming and initialization. Add tests
* Optimize imports / reformat
* Fix future not being properly cancelled on failed initial scheduling
* Fix delete returns
* Add more docs about whole introspection
* Add `/version` introspection point for lookups
* Add more tests and address comments
* Add StaticMap extraction namespace for testing. Also add a bunch of tests
* Move cache system property to `druid.lookup.namespace.cache.type`
* Make VERSION lower case
* Change poll period to 0ms for StaticMap
* Move cache key to bytebuffer
* Change hashCode and equals on static map extraction fn
* Add more comments on StaticMap
* Address comments
* Make scheduleAndWait use a latch
* Sanity renames and fix imports
* Remove extra info in docs
* Fix review comments
* Strengthen failure on start from warn to error
* Address comments
* Rename namespace-lookup to lookups-cached-global
* Fix injective mis-naming
* Also add serde test
* new interval based cost function
Addresses issues with balancing of segments in the existing cost function
- `gapPenalty` led to clusters of segments ~30 days apart
- `recencyPenalty` caused imbalance among recent segments
- size-based cost could be skewed by compression
New cost function is purely based on segment intervals:
- assumes each time-slice of a partition is a constant cost
- cost is additive, i.e. cost(A, B union C) = cost(A, B) + cost(A, C)
- cost decays exponentially based on distance between time-slices
* comments and formatting
* add more comments to explain the calculation
Benedict Jin
Chi Cao Minh
Gian Merlino
Clint Wylie
Roman Leventov
Fokko Driesprong
Xue Yu
Jihoon Son
Xavier Léauté
awelsh93
mcbrewster
Gian Merlino
Samarth Jain
Jonathan Wei
Eyal Yurman
Clint Wylie
Richard Startin
Charles Allen
Surekha
Edward Gan
Vadim Ogievetsky
Ankit Kothari
dongyifeng
Joshua Sun
David Lim
Furkan KAMACI
David Lim
patelh
QiuMM
Nishant Bangarwa
Slim Bouguerra
Kirill Kozlov
Dylan Wylie
zhangxinyu
Hongze Zhang
Fokko Driesprong
Nathan Hartwell
bolkedebruin
Vinesh Chemmala Paul
Akash Dwivedi
Goh Wei Xiang
Kenji Noguchi
Parag Jain
Himanshu
Dongkyu Hwangbo
Roman Leventov
Eugene Sevastyanov
DaimonPl
kaijianding
Ninglin Du
Gleb Smirnov
Navis Ryu
Erik Dubbelboer
Keuntae Park
John Zhang
Fangjin Yang
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