* Add maxSegmentsInQueue parameter to CoordinatorDinamicConfig and use it in LoadRule to improve segments loading and replication time
* Rename maxSegmentsInQueue to maxSegmentsInNodeLoadingQueue
* Make CoordinatorDynamicConfig constructor private; add/fix tests; set default maxSegmentsInNodeLoadingQueue to 0 (unbounded)
* Docs added for maxSegmentsInNodeLoadingQueue parameter in CoordinatorDynamicConfig
* More docs for maxSegmentsInNodeLoadingQueue and style fixes
* Remove ability to create segments in v8 format
* Fix IndexGeneratorJobTest
* Fix parameterized test name in IndexMergerTest
* Remove extra legacy merging stuff
* Remove legacy serializer builders
* Remove ConciseBitmapIndexMergerTest and RoaringBitmapIndexMergerTest
* Add Date support to the parquet reader
Add support for the Date logical type. Currently this is not supported. Since the parquet
date is number of days since epoch gets interpreted as seconds since epoch, it will fails
on indexing the data because it will not map to the appriopriate bucket.
* Cleaned up code and tests
Got rid of unused json files in the examples, cleaned up the tests by
using try-with-resources. Now get the filenames from the json file
instead of hard coding them and integrated general improvements from
the feedback provided by leventov.
* Got rid of the caching
Remove the caching of the logical type of the time dimension column
and cleaned up the code a bit.
* Expressions: Add ExprMacros, which have the same syntax as functions, but
can convert themselves to any kind of Expr at parse-time.
ExprMacroTable is an extension point for adding new ExprMacros. Anything
that might need to parse expressions needs an ExprMacroTable, which can
be injected through Guice.
* Address code review comments.
* refactor lag reporting and report lag at status endpoint
* refactor offset reporting logic to fetch offsets periodically vs. at request time
* remove JavaCompatUtils
* code review changes
* code review changes
* Refactoring Appenderator
1) Added publishExecutor and handoffExecutor for background publishing and handing segments off
2) Change add() to not move segments out in it
* Address comments
1) Remove publishTimeout for KafkaIndexTask
2) Simplifying registerHandoff()
3) Add increamental handoff test
* Remove unused variable
* Add persist() to Appenderator and more tests for AppenderatorDriver
* Remove unused imports
* Fix strict build
* Address comments
There result would be {"error"=>"Unknown exception",
"errorMessage"=>nil, "errorClass"=>"java.lang.NullPointerException",
"host"=>nil} when the json lack of 『granularity』.
* 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
* Fixed (#4216)
Modify the default value of `druid.server.http.numThreads` to `Math.max(10, (Runtime.getRuntime().availableProcessors() * 17) / 16 + 2) + 30`
* Fixed(#4216)
Modify the default value of `druid.server.http.numThreads` to `max(10, (Number of cores * 17) / 16 + 2) + 30`
* Fixed(#4216)
Modify the default value of `druid.server.http.numThreads` to `max(10, (Number of cores * 17) / 16 + 2) + 30`
This is useful for putting them behind load balancers or proxies, as it lets
the load balancer know which server is currently active through an http health
check.
Also makes the method naming a little more consistent between coordinator and
overlord code.
* optionally add extensions to explicitly specified hadoopContainerClassPath
* note extensions always pushed in hadoop container when druid.extensions.hadoopContainerDruidClasspath is not provided explicitly
* coordinator lookups mgmt improvements
* revert replaces removal, deprecate it instead
* convert and use older specs stored in db
* more tests and updates
* review comments
* add behavior for 0.10.0 to 0.9.2 downgrade
* incorporating more review comments
* remove explicit lock and use LifecycleLock in LookupReferencesManager. use LifecycleLock in LookupCoordinatorManager as well
* wip on LookupCoordinatorManager
* lifecycle lock
* refactor thread creation into utility method
* more review comments addressed
* support smooth roll back of lookup snapshots from 0.10.0 to 0.9.2
* correctly use LifecycleLock in LookupCoordinatorManager and remove synchronization from start/stop
* run lookup mgmt on leader coordinator only
* wip: changes to do multiple start() and stop() on LookupCoordinatorManager
* lifecycleLock fix usage in LookupReferencesManagerTest
* add LifecycleLock back
* fix license hdr
* some fixes
* make LookupReferencesManager.getAllLookupsState() consistent while still being lockless
* address review comments
* addressing leventov's comments
* address charle's comments
* add IOE.java
* for safety in LookupReferencesManager mainThread check for lifecycle started state on each loop in addition to interrupt
* move thread creation utility method to Execs
* fix names
* add tests for LookupCoordinatorManager.lookupManagementLoop()
* add further tests for figuring out toBeLoaded and toBeDropped on LookupCoordinatorManager
* address leventov comments
* remove LookupsStateWithMap and parameterize LookupsState
* address review comments
* address more review comments
* misc fixes
Updating the description of useCache
Updating query-context doc based on Gian's comment
Updating query-context doc based on Gian's comment
Updating query-context doc based on Gian's comment
Updating query-context doc based on Gian's comment
* Fix lz4 library incompatibility in kafka-indexing-service extension #3266
* Bumped Kafka version to 0.10.2.0 for : Fix lz4 library incompatibility in kafka-indexing-service extension #3266
* Replaced Lists.newArrayList() with Collections.singletonList() For Fix lz4 library incompatibility in kafka-indexing-service extension #4115
* Make timeout behavior consistent to document
* Refactoring BlockingPool and add more methods to QueryContexts
* remove unused imports
* Addressed comments
* Address comments
* remove unused method
* Make default query timeout configurable
* Fix test failure
* Change timeout from period to millis
* 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
* RealtimeIndexTask to support alertTimeout in context and raise alert if task process exists after the timeout
* move alertTimeout config to tuningConfig and document
It wasn't doing anything useful (the sequences were being concatted, and
cursor.getTime() wasn't being called) and it defaulted to Granularities.NONE.
Changing it to Granularities.ALL gave me a 700x+ performance boost on a
small dataset I was reindexing (2m27s to 365ms). Most of that was from avoiding
making a lot of unnecessary column selectors.