* 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
* Fix exclusivity for start offset in kinesis indexing service
* some adjustment
* Fix SeekableStreamDataSourceMetadata
* Add missing javadocs
* Add missing comments and unit test
* fix SeekableStreamStartSequenceNumbers.plus and add comments
* remove extra exclusivePartitions in KafkaIOConfig and fix downgrade issue
* Add javadocs
* fix compilation
* fix test
* remove unused variable
* Logic adjustments to SeekableStreamIndexTaskRunner.
A mix of simplifications and bug fixes. They are intermingled because
some of the bugs were made difficult to fix, and also more likely to
happen in the first place, by how the code was structured. I tried to
keep restructuring to a minimum. The changes are:
- Remove "initialOffsetsSnapshot", which was used to determine when to
skip start offsets. Replace it with "lastReadOffsets", which I hope
is more intuitive. (There is a connection: start offsets must be
skipped if and only if they have already been read, either by a
previous task or by a previous sequence in the same task, post-restoring.)
- Remove "isStartingSequenceOffsetsExclusive", because it should always
be the opposite of isEndOffsetExclusive. The reason is that starts are
exclusive exactly when the prior ends are inclusive: they must match
up in that way for adjacent reads to link up properly.
- Don't call "seekToStartingSequence" after the initial seek. There is
no reason to, since we expect to read continuous message streams
throughout the task. And calling it makes offset-tracking logic
trickier, so better to avoid the need for trickiness. I believe the
call being here was causing a bug in Kinesis ingestion where a
message might get double-read.
- Remove the "continue" calls in the main read loop. They are bad
because they prevent keeping currOffsets and lastReadOffsets up to
date, and prevent us from detecting that we have finished reading.
- Rework "verifyInitialRecordAndSkipExclusivePartition" into
"verifyRecordInRange". It no longer has side effects. It does a sanity
check on the message offset and also makes sure that it is not past
the endOffsets.
- Rework "assignPartitions" to replace inline comparisons with
"isRecordAlreadyRead" and "isMoreToReadBeforeReadingRecord" calls. I
believe this fixes an off-by-one error with Kinesis where the last
record would not get read. It also makes the logic easier to read.
- When doing the final publish, only adjust end offsets of the final
sequence, rather than potentially adjusting any unpublished sequence.
Adjusting sequences other than the last one is a mistake since it
will extend their endOffsets beyond what they actually read. (I'm not
sure if this was an issue in practice, since I'm not sure if real
world situations would have more than one unpublished sequence.)
- Rename "isEndSequenceOffsetsExclusive" to "isEndOffsetExclusive". It's
shorter and more clear, I think.
- Add equals/hashCode/toString methods to OrderedSequenceNumber.
Kafka test changes:
- Added a Kafka "testRestoreAtEndOffset" test to verify that restores at
the very end of the task lifecycle still work properly.
Kinesis test changes:
- Renamed "testRunOnNothing" to "testRunOnSingletonRange". I think that
given Kinesis semantics, the right behavior when start offset equals
end offset (and there aren't exclusive partitions set) is to read that
single offset. This is because they are both meant to be treated as
inclusive.
- Adjusted "testRestoreAfterPersistingSequences" to expect one more
message read. I believe the old test was wrong; it expected the task
not to read message number 5.
- Adjusted "testRunContextSequenceAheadOfStartingOffsets" to use a
checkpoint starting from 1 rather than 2. I believe the old test was
wrong here too; it was expecting the task to start reading from the
checkpointed offset, but it actually should have started reading from
one past the checkpointed offset.
- Adjusted "testIncrementalHandOffReadsThroughEndOffsets" to expect
11 messages read instead of 12. It's starting at message 0 and reading
up to 10, which should be 11 messages.
* Changes from code review.
* Throw caught exception.
* Throw caught exceptions.
* Related checkstyle rule is added to prevent further bugs.
* RuntimeException() is used instead of Throwables.propagate().
* Missing import is added.
* Throwables are propogated if possible.
* Throwables are propogated if possible.
* Throwables are propogated if possible.
* Throwables are propogated if possible.
* * Checkstyle definition is improved.
* Throwables.propagate() usages are removed.
* Checkstyle pattern is changed for only scanning "Throwables.propagate(" instead of checking lookbehind.
* Throwable is kept before firing a Runtime Exception.
* Fix unused assignments.
* wip
* fix tests, stop reading if we are at end offset
* fix build
* remove restore at end offsets fix in favor of a separate PR
* use typereference from method for serialization too
* Added checkstyle for "Methods starting with Capital Letters" and changed the method names violating this.
* Un-abbreviate the method names in the calcite tests
* Fixed checkstyle errors
* Changed asserts position in the code
IndexTask had special-cased code to properly send a TaskToolbox to a
IngestSegmentFirehoseFactory that's nested inside a CombiningFirehoseFactory,
but ParallelIndexSubTask didn't.
This change refactors IngestSegmentFirehoseFactory so that it doesn't need a
TaskToolbox; it instead gets a CoordinatorClient and a SegmentLoaderFactory
directly injected into it.
This also refactors SegmentLoaderFactory so it doesn't depend on
an injectable SegmentLoaderConfig, since its only method always
replaces the preconfigured SegmentLoaderConfig anyway.
This makes it possible to use SegmentLoaderFactory without setting
druid.segmentCaches.locations to some dummy value.
Another goal of this PR is to make it possible for IngestSegmentFirehoseFactory
to list data segments outside of connect() --- specifically, to make it a
FiniteFirehoseFactory which can query the coordinator in order to calculate its
splits. See #7048.
This also adds missing datasource name URL-encoding to an API used by
CoordinatorBasedSegmentHandoffNotifier.
* Remove DataSegmentFinder, InsertSegmentToDb, and descriptor.json file
* delete descriptor.file when killing segments
* fix test
* Add doc for ha
* improve warning
* 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
* Prohibit assigning concurrent maps into Map-types variables and fields; Fix a race condition in CoordinatorRuleManager; improve logic in DirectDruidClient and ResourcePool
* Enforce that if compute(), computeIfAbsent(), computeIfPresent() or merge() is called on a ConcurrentHashMap, it's stored in a ConcurrentHashMap-typed variable, not ConcurrentMap; add comments explaining get()-before-computeIfAbsent() optimization; refactor Counters; fix a race condition in Intialization.java
* Remove unnecessary comment
* Checkstyle
* Fix getFromExtensions()
* Add a reference to the comment about guarded computeIfAbsent() optimization; IdentityHashMap optimization
* Fix UriCacheGeneratorTest
* Workaround issue with MaterializedViewQueryQueryToolChest
* Strengthen Appenderator's contract regarding concurrency
* 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
* Use multi-guava version friendly direct executor implementation
* Don't use a singleton
* Fix strict compliation complaints
* Copy Guava's DirectExecutor
* Fix javadoc
* Imports are the devil
* 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
Charles Allen
Jihoon Son
Gian Merlino
Furkan KAMACI
Clint Wylie
Himanshu Pandey
David Glasser
Surekha
Jonathan Wei
Roman Leventov
Ankit Kothari
Joshua Sun