* add default caffeine cache size based on runtime Xmx or max 1GB
* update docs for caffeine cache
* fix formatting
* test caffeine size should never be less than 0
* set caffeine max default size to 1G not 1M
* fix caffeine cache tests
* 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
The "lock" object was used to synchronize start/stop as well as synchronize removals
from segmentsToDelete (when a segment is done dropping). This could cause a deadlock
if a segment-load throws an exception during loadLocalCache. loadLocalCache is run
by start() while it holds the lock, but then it spawns loading threads, and those
threads will try to acquire the "segmentsToDelete" lock if they want to drop a corrupt
segments.
I don't see any reason for these two locks to be the same lock, so I split them.
* Update defaultHadoopCoordinates in documentation.
To match changes applied in #5382.
* Remove a parameter with defaults from example configuration file.
If it has reasonable defaults, then why would it be in an example config file?
Also, it is yet another place that has been forgotten to be updated and will be forgotten in the future.
Also, if someone is running different hadoop version, then there's much more work to be done than just changing this property, so why give users false hopes?
* Fix typo in documentation.
In DeterminePartitonsJob -
config.get("mapred.job.tracker").equals("local") throws NPE as the
property name is changed in hadoop 3.0 to mapreduce.jobtracker.address
This patch extracts the logic to fetch jobTrackerAddress in JobHelper
and reuses it when needed.
* Add task action metrics, add taskId metric dimension.
Adds two new metrics: task/action/log/time and task/action/run/time. Also
adds taskId as a dimension, to give us the ability to drill down into metrics
for an individual task. Also standardizes metrics-attachment using two helper
methods in IndexTaskUtils.
* Fix typo
* Use mergeBuffer instead of processingBuffer in parallelCombiner
* Fix test
* address comments
* fix test
* Fix test
* Update comment
* address comments
* fix build
* Fix test failure
* Fix coordinator's dataSource api with full parameter
* address comment
* Add a constructor for json serde and fix result order
* Change to immutableSortedMap
* Revert immutableSortedMap to treeMap
* Replace EmittedBatchCounter and UpdateCounter with (both not safe for concurrent increments/updates) with ConcurrentAwaitableCounter (safe for concurrent increments)
* Fixes
* Fix EmitterTest
* Added Javadoc and make awaitCount() to throw exceptions on wrong count instead of masking errors
* Add getters for AlertEvent
* Move PublicApi and ExtensionPoint to java-util
* Fix publicapi annotation usage
* Add publicapi annotations to ServiceMetricEvent and RequestLogEvent
* Add config to allow setting up custom unsecured paths for druid nodes.
* return all resources for Unsecured paths
* review comment - Add test
* fix tests
* fix test
Dylan Wylie
Stuart McLean
Surekha
Gian Merlino
Jihoon Son
Jakub Kukul
Nishant Bangarwa
David Lim
Joseph Glanville
Jonathan Wei
kaijianding
Roman Leventov
Erik Dubbelboer
Charles Allen
Caroline1000
Slim Bouguerra
scrawfor
Kirill Kozlov
palanieppan-m
Atul Mohan
Caroline1000