* 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
Roman Leventov
David Lim
Clint Wylie
Joshua Sun
David Lim
patelh
Charles Allen
Gian Merlino
QiuMM
Nishant Bangarwa
Jonathan Wei
Slim Bouguerra
Kirill Kozlov
Jihoon Son
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