* Make IngestSegmentFirehoseFactory splittable for parallel ingestion
* Code review feedback
- Get rid of WindowedSegment
- Don't document 'segments' parameter or support splitting firehoses that use it
- Require 'intervals' in WindowedSegmentId (since it won't be written by hand)
* Add missing @JsonProperty
* Integration test passes
* Add unit test
* Remove two FIXME comments from CompactionTask
I'd like to leave this PR in a potentially mergeable state, but I still would
appreciate reviewer eyes on the questions I'm removing here.
* Updates from code review
* Reduce # of max subTasks to 2
* fix typo and add more doc
* add more doc and link
* change default and add warning
* fix doc
* add test
* fix it test
#### `EventReceiverFirehoseFactory`
Fixed several concurrency bugs in `EventReceiverFirehoseFactory`:
- Race condition over putting an entry into `producerSequences` in `checkProducerSequence()`.
- `Stopwatch` used to measure time across threads, but it's a non-thread-safe class.
- Use `System.nanoTime()` instead of `System.currentTimeMillis()` because the latter are [not suitable](https://stackoverflow.com/a/351571/648955) for measuring time intervals.
- `close()` was not synchronized by could be called from multiple threads concurrently.
Removed unnecessary `readLock` (protecting `hasMore()` and `nextRow()` which are always called from a single thread). Removed unnecessary `volatile` modifiers.
Documented threading model and concurrent control flow of `EventReceiverFirehose` instances.
**Important:** please read the updated Javadoc for `EventReceiverFirehose.addAll()`. It allows events from different requests (batches) to be interleaved in the buffer. Is this OK?
#### `TimedShutoffFirehoseFactory`
- Fixed a race condition that was possible because `close()` that was not properly synchronized.
Documented threading model and concurrent control flow of `TimedShutoffFirehose` instances.
#### `Firehose`
Refined concurrency contract of `Firehose` based on `EventReceiverFirehose` implementation. Importantly, now it states that `close()` doesn't affect `hasMore()` and `nextRow()` and could be called concurrently with them. In other words, specified that `close()` is for "row supply" side rather than "row consume" side. However, I didn't check that other `Firehose` implementatations adhere to this contract.
<hr>
This issue is the result of reviewing `EventReceiverFirehose` and `TimedShutoffFirehose` using [this checklist](https://medium.com/@leventov/code-review-checklist-java-concurrency-49398c326154).
* index_parallel: support !appendToExisting with no explicit intervals
This enables ParallelIndexSupervisorTask to dynamically request locks at runtime
if it is run without explicit intervals in the granularity spec and with
appendToExisting set to false. Previously, it behaved as if appendToExisting
was set to true, which was undocumented and inconsistent with IndexTask and
Hadoop indexing.
Also, when ParallelIndexSupervisorTask allocates segments in the explicit
interval case, fail if its locks on the interval have been revoked.
Also make a few other additions/clarifications to native ingestion docs.
Fixes#6989.
* Review feedback.
PR description on GitHub updated to match.
* Make native batch ingestion partitions start at 0
* Fix to previous commit
* Unit test. Verified to fail without the other commits on this branch.
* Another round of review
* Slightly scarier warning
* 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.
* Native parallel indexing without shuffle
* fix build
* fix ci
* fix ingestion without intervals
* fix retry
* fix retry
* add it test
* use chat handler
* fix build
* add docs
* fix ITUnionQueryTest
* fix failures
* disable metrics reporting
* working
* Fix split of static-s3 firehose
* Add endpoints to supervisor task and a unit test for endpoints
* increase timeout in test
* Added doc
* Address comments
* Fix overlapping locks
* address comments
* Fix static s3 firehose
* Fix test
* fix build
* fix test
* fix typo in docs
* add missing maxBytesInMemory to doc
* address comments
* fix race in test
* fix test
* Rename to ParallelIndexSupervisorTask
* fix teamcity
* address comments
* Fix license
* addressing comments
* addressing comments
* indexTaskClient-based segmentAllocator instead of CountingActionBasedSegmentAllocator
* Fix race in TaskMonitor and move HTTP endpoints to supervisorTask from runner
* Add more javadocs
* use StringUtils.nonStrictFormat for logging
* fix typo and remove unused class
* fix tests
* change package
* fix strict build
* tmp
* Fix overlord api according to the recent change in master
* Fix it test
* This commit introduces a new tuning config called 'maxBytesInMemory' for ingestion tasks
Currently a config called 'maxRowsInMemory' is present which affects how much memory gets
used for indexing.If this value is not optimal for your JVM heap size, it could lead
to OutOfMemoryError sometimes. A lower value will lead to frequent persists which might
be bad for query performance and a higher value will limit number of persists but require
more jvm heap space and could lead to OOM.
'maxBytesInMemory' is an attempt to solve this problem. It limits the total number of bytes
kept in memory before persisting.
* The default value is 1/3(Runtime.maxMemory())
* To maintain the current behaviour set 'maxBytesInMemory' to -1
* If both 'maxRowsInMemory' and 'maxBytesInMemory' are present, both of them
will be respected i.e. the first one to go above threshold will trigger persist
* Fix check style and remove a comment
* Add overlord unsecured paths to coordinator when using combined service (#5579)
* Add overlord unsecured paths to coordinator when using combined service
* PR comment
* More error reporting and stats for ingestion tasks (#5418)
* Add more indexing task status and error reporting
* PR comments, add support in AppenderatorDriverRealtimeIndexTask
* Use TaskReport instead of metrics/context
* Fix tests
* Use TaskReport uploads
* Refactor fire department metrics retrieval
* Refactor input row serde in hadoop task
* Refactor hadoop task loader names
* Truncate error message in TaskStatus, add errorMsg to task report
* PR comments
* Allow getDomain to return disjointed intervals (#5570)
* Allow getDomain to return disjointed intervals
* Indentation issues
* Adding feature thetaSketchConstant to do some set operation in PostAgg (#5551)
* Adding feature thetaSketchConstant to do some set operation in PostAggregator
* Updated review comments for PR #5551 - Adding thetaSketchConstant
* Fixed CI build issue
* Updated review comments 2 for PR #5551 - Adding thetaSketchConstant
* Fix taskDuration docs for KafkaIndexingService (#5572)
* With incremental handoff the changed line is no longer true.
* Add doc for automatic pendingSegments (#5565)
* Add missing doc for automatic pendingSegments
* address comments
* Fix indexTask to respect forceExtendableShardSpecs (#5509)
* Fix indexTask to respect forceExtendableShardSpecs
* add comments
* Deprecate spark2 profile in pom.xml (#5581)
Deprecated due to https://github.com/druid-io/druid/pull/5382
* CompressionUtils: Add support for decompressing xz, bz2, zip. (#5586)
Also switch various firehoses to the new method.
Fixes#5585.
* This commit introduces a new tuning config called 'maxBytesInMemory' for ingestion tasks
Currently a config called 'maxRowsInMemory' is present which affects how much memory gets
used for indexing.If this value is not optimal for your JVM heap size, it could lead
to OutOfMemoryError sometimes. A lower value will lead to frequent persists which might
be bad for query performance and a higher value will limit number of persists but require
more jvm heap space and could lead to OOM.
'maxBytesInMemory' is an attempt to solve this problem. It limits the total number of bytes
kept in memory before persisting.
* The default value is 1/3(Runtime.maxMemory())
* To maintain the current behaviour set 'maxBytesInMemory' to -1
* If both 'maxRowsInMemory' and 'maxBytesInMemory' are present, both of them
will be respected i.e. the first one to go above threshold will trigger persist
* Address code review comments
* Fix the coding style according to druid conventions
* Add more javadocs
* Rename some variables/methods
* Other minor issues
* Address more code review comments
* Some refactoring to put defaults in IndexTaskUtils
* Added check for maxBytesInMemory in AppenderatorImpl
* Decrement bytes in abandonSegment
* Test unit test for multiple sinks in single appenderator
* Fix some merge conflicts after rebase
* Fix some style checks
* Merge conflicts
* Fix failing tests
Add back check for 0 maxBytesInMemory in OnHeapIncrementalIndex
* Address PR comments
* Put defaults for maxRows and maxBytes in TuningConfig
* Change/add javadocs
* Refactoring and renaming some variables/methods
* Fix TeamCity inspection warnings
* Added maxBytesInMemory config to HadoopTuningConfig
* Updated the docs and examples
* Added maxBytesInMemory config in docs
* Removed references to maxRowsInMemory under tuningConfig in examples
* Set maxBytesInMemory to 0 until used
Set the maxBytesInMemory to 0 if user does not set it as part of tuningConfing
and set to part of max jvm memory when ingestion task starts
* Update toString in KafkaSupervisorTuningConfig
* Use correct maxBytesInMemory value in AppenderatorImpl
* Update DEFAULT_MAX_BYTES_IN_MEMORY to 1/6 max jvm memory
Experimenting with various defaults, 1/3 jvm memory causes OOM
* Update docs to correct maxBytesInMemory default value
* Minor to rename and add comment
* Add more details in docs
* Address new PR comments
* Address PR comments
* Fix spelling typo
David Glasser
Jihoon Son
Jonathan Wei
Roman Leventov
scrawfor
Justin Borromeo
Gian Merlino
Janek Lasocki-Biczysko
David Lim
Vadim Ogievetsky
rcgarcia74
Mingming Qiu
Evans Hauser
Benjamin Hopp
Caroline1000
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Joseph Glanville
Atul Mohan
kaijianding
Surekha
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