* 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
* blooming aggs
* partially address review
* fix docs
* minor test refactor after rebase
* use copied bloomkfilter
* add ByteBuffer methods to BloomKFilter to allow agg to use in place, simplify some things, more tests
* add methods to BloomKFilter to get number of set bits, use in comparator, fixes
* more docs
* fix
* fix style
* simplify bloomfilter bytebuffer merge, change methods to allow passing buffer offsets
* oof, more fixes
* more sane docs example
* fix it
* do the right thing in the right place
* formatting
* fix
* avoid conflict
* typo fixes, faster comparator, docs for comparator behavior
* unused imports
* use buffer comparator instead of deserializing
* striped readwrite lock for buffer agg, null handling comparator, other review changes
* style fixes
* style
* remove sync for now
* oops
* consistency
* inspect runtime shape of selector instead of selector plus, static comparator, add inner exception on serde exception
* CardinalityBufferAggregator inspect selectors instead of selectorPluses
* fix style
* refactor away from using ColumnSelectorPlus and ColumnSelectorStrategyFactory to instead use specialized aggregators for each supported column type, other review comments
* adjustment
* fix teamcity error?
* rename nil aggs to empty, change empty agg constructor signature, add comments
* use stringutils base64 stuff to be chill with master
* add aggregate combiner, comment
* add "bloom_filter_test" druid expression to support bloom filters in ExpressionVirtualColumn and ExpressionDimFilter and sql expressions
* more docs
* use java.util.Base64, doc fixes
PR #6605 added support to the statsd emitter for DogStatsD tags. This commit
lets you specify "constant tags" in the config file which are included with
every event. This is helpful if you are running in an environment where you
cannot configure your datadog-agent with tags like "cluster name" --- eg, a
Kubernetes cluster with a datadog-agent on each node and different Druid
deployments in different namespaces but sharing the same datadog-agent
daemonset.
Also fix the name of an existing boolean getter to start with 'is'.
* 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
* Replace StatsD client library
The [Datadog package][1] is a StatsD compatible drop-in replacement for the
client library, but it seems to be [better maintained][2] and has support for
Datadog DogStatsD specific features, which will be made use of in a subsequent
commit.
The `count`, `time`, and `gauge` methods are actually exactly compatible with
the previous library and the modifications shouldn't be required, but EasyMock
seems to have a hard time dealing with the variable arguments added by the
DogStatsD library and causes tests to fail if no arguments are provided for the
last String vararg. Passing an empty array fixes the test failures.
[1]: https://github.com/DataDog/java-dogstatsd-client
[2]: https://github.com/tim-group/java-statsd-client/issues/37#issuecomment-248698856
* Retain dimension key information for StatsD metrics
This doesn't change behavior, but allows separating dimensions from the metric
name in subsequent commits.
There is a possible order change for values from
`dimsBuilder.build().values()`, but from the tests it looks like it doesn't
affect actual behavior and the order of user dimensions is also retained.
* Support DogStatsD style tags in statsd-emitter
Datadog [doesn't support name-encoded dimensions and uses a concept of _tags_
instead.][1] This change allows Datadog users to send the metrics without
having to encode the various dimensions in the metric names. This enables
building graphs and monitors with and without aggregation across various
dimensions from the same data.
As tests in this commit verify, the behavior remains the same for users who
don't enable the `druid.emitter.statsd.dogstatsd` configuration flag.
[1]: https://www.datadoghq.com/blog/the-power-of-tagged-metrics/#tags-decouple-collection-and-reporting
* Disable convertRange behavior for DogStatsD users
DogStatsD, unlike regular StatsD, supports floating-point values, so this
behavior is unnecessary. It would be possible to still support `convertRange`,
even with `dogstatsd` enabled, but that would mean that people using the
default mapping would have some of the gauges unnecessarily converted.
`time` is in milliseconds and doesn't support floating-point values.
* 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
* include mysql-metadata-storage extension in distribution, but without the GPL-licensed connector library
* Install mysql connector package
* use symlinks to avoid versioning issues
* add documentation for fetching the mysql connector
* fix opentsdb emitter always be running
* check if emitter started
* add more details about consumeDelay in doc
* fix possible thread unsafe
* fix fail sending tags whose value contain colon
* 'suspend' and 'resume' support for kafka indexing service
changes:
* introduces `SuspendableSupervisorSpec` interface to describe supervisors which support suspend/resume functionality controlled through the `SupervisorManager`, which will gracefully shutdown the supervisor and it's tasks, update it's `SupervisorSpec` with either a suspended or running state, and update with the toggled spec. Spec updates are provided by `SuspendableSupervisorSpec.createSuspendedSpec` and `SuspendableSupervisorSpec.createRunningSpec` respectively.
* `KafkaSupervisorSpec` extends `SuspendableSupervisorSpec` and now supports suspend/resume functionality. The difference in behavior between 'running' and 'suspended' state is whether the supervisor will attempt to ensure that indexing tasks are or are not running respectively. Behavior is identical otherwise.
* `SupervisorResource` now provides `/druid/indexer/v1/supervisor/{id}/suspend` and `/druid/indexer/v1/supervisor/{id}/resume` which are used to suspend/resume suspendable supervisors
* Deprecated `/druid/indexer/v1/supervisor/{id}/shutdown` and moved it's functionality to `/druid/indexer/v1/supervisor/{id}/terminate` since 'shutdown' is ambiguous verbage for something that effectively stops a supervisor forever
* Added ability to get all supervisor specs from `/druid/indexer/v1/supervisor` by supplying the 'full' query parameter `/druid/indexer/v1/supervisor?full` which will return a list of json objects of the form `{"id":<id>, "spec":<SupervisorSpec>}`
* Updated overlord console ui to enable suspend/resume, and changed 'shutdown' to 'terminate'
* move overlord console status to own column in supervisor table so does not look like garbage
* spacing
* padding
* other kind of spacing
* fix rebase fail
* fix more better
* all supervisors now suspendable, updated materialized view supervisor to support suspend, more tests
* fix log
* resolves#5898 by adding maxTotalRows to incremental publishing kafka index task and appenderator based realtime indexing task, as available in IndexTask
* address review comments
* changes due to review
* merge fail
* 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.
Surekha
Edward Gan
Jihoon Son
Clint Wylie
Gian Merlino
Jonathan Wei
Navin Kumar
Justin Borromeo
David Glasser
Mingming Qiu
Joshua Sun
David Lim
Vadim Ogievetsky
Deiwin Sarjas
Caroline1000
taiii
Atul Mohan
Nishant Bangarwa
Benedict Jin
Alexander Saydakov