* implement materialized view
* modify code according to jihoonson's comments
* modify code according to jihoonson's comments - 2
* add documentation about materialized view
* use new HadoopTuningConfig in pr 5583
* add minDataLag and fix optimizer bug
* correct value of DEFAULT_MIN_DATA_LAG_MS
* modify code according to jihoonson's comments - 3
* use the boolean expression instead of if-else
* Anonymous authenticator that authenticates all requests and then directs them to an authorizer.
* Adding documentation
* Removed some fields from class AnonymousAuthenticator
* Updating docs
* fix freeSpacePercent in segmentCache.locations
* the check should probably test the other way around
* documentation should put the option in the right place
* examples have a superfluous backslash
* add test to verify correct behavior
* switch to Path and test with jimfs
Path allows to use different filesystems.
Jimfs provides an actual (in memory) filesystem.
This also allows more complex test scenarios.
The behavior should be unchanged by this commit.
* Revert "switch to Path and test with jimfs"
This reverts commit 8b9a418d65.
* 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
* 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.
* 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
* 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
* Fix Kerberos Authentication failing requests without cookies.
KerberosAuthenticator was failing `First` request from the clients.
After authentication we were setting the cookie properly but not
setting the the authenticated flag in the request. This PR fixed that.
Additional Fixes -
* Removing of Unused SpnegoFilterConfig - replaced by
KerberosAuthenticator
* Unused internalClientKeytab and principal from KerberosAuthenticator
* Fix docs accordingly and add docs for configuring an escalated
client.
* Fix excluded path config behavior
* spelling correction
* Revert "spelling correction"
This reverts commit fb754b43d8.
* Revert "Fix excluded path config behavior"
This reverts commit 3901047769.
* Add graceful shutdown timeout
* Handle interruptedException
* Incorporate code review comments
* Address code review comments
* Poll for activeConnections to be zero
* Use statistics handler to get active requests
* Use native jetty shutdown gracefully
* Move log line back to where it was
* Add unannounce wait time
* Make the default retain prior behavior
* Update docs with new config defaults
* Make duration handling on jetty shutdown more consistent
* StatisticsHandler is a wrapper
* Move jetty lifecycle error logging to error
Originally written by @AlexanderSaydakov in druid-io/druid-io.github.io#448.
I also added redirects and updated links to point to the new
datasketches-extension.html landing page for the extension, rather than to
the old page about theta sketches.
* Use the official aws-sdk instead of jet3t
* fix compile and serde tests
* address comments and fix test
* add http version string
* remove redundant dependencies, fix potential NPE, and fix test
* resolve TODOs
* fix build
* downgrade jackson version to 2.6.7
* fix test
* resolve the last TODO
* support proxy and endpoint configurations
* fix build
* remove debugging log
* downgrade hadoop version to 2.8.3
* fix tests
* remove unused log
* fix it test
* revert KerberosAuthenticator change
* change hadoop-aws scope to provided in hdfs-storage
* address comments
* address comments
* Support for disabling bitmap indexes.
Can save space for columns where bitmap indexes are pointless (like
free-form text).
* Remove import.
* Fix CompactionTaskTest.
* Update for review comments.
* Review comments, tests.
* Fix test.
* Support map type in orc extension.
Added getMapObject in OrcHadoopInputRowParser
Updated parse tests to parse map-type field in OrcHadoopInputRowParserTest
* changed from for-loop to foreach
* added resolution of column names when map types are exploded to several
columns. updated the document as well -- orc.md.
* Update orc.md
change from review
* opentsdb emitter extension
* doc for opentsdb emitter extension
* update opentsdb emitter doc
* add the ms unit to the constant name
* add a configurable event limit
* fix version to 0.13.0-SNAPSHOT
* using a thread to consume metric event
* rename method and parameter
* Update post-aggregations.md
I think this is more clear. I am not sure how multiplying by 100 is involved in averaging...
* Update post-aggregations.md
adding additional aggregator
* Update post-aggregations.md
The behavior is configurable through druid.extensions.useExtensionClassloaderFirst.
It is useful when extensions want to load a dependency different from one provided
by Druid, for example a different version of geoip or protobuf.
Code changes:
- In the lookup-based extractionFns, inherit injective property from
the lookup itself if not specified.
Doc changes:
- Add a "Query execution" section to the lookups doc explaining how
injective lookups and their optimizations work.
- Remove scary warnings against using registeredLookup extractionFns.
They are necessary and important since they work with filters and
function cascades -- two things that the dimension specs do not do.
They deserve to be first class citizens.
- Move the "registeredLookup" fn above the "lookup" fn. It's probably
more commonly used, so the docs read better this way.
* More memory limiting for HttpPostEmitter
* Less aggressive large events test
* Fix tests
* Restrict batch queue size first, keep minimum of 2 queue items
* Encrypting MySQL connections
* Update docs
* Make verifyServerCertificate a configurable parameter
* Change password parameter and doc update
* Make server certificate verification disabled by default
* Update tostring
* Update docs
* Add check for trust store passwords
* Add warning for null password
* just renaming of SegmentChangeRequestHistory etc
* additional change history refactoring changes
* WorkerTaskManager a replica of WorkerTaskMonitor
* HttpServerInventoryView refactoring to extract sync code and robustification
* Introducing HttpRemoteTaskRunner
* Additional Worker side updates
* Add freeSpacePercent config in segment location config to enforce free space while storing segments
* address review comments
* address review comments: more doc on freeSpacePercent and use Double for freeSpacePercent
* Kafka Index Task that supports Incremental handoffs
- Incrementally handoff segments when they hit maxRowsPerSegment limit
- Decouple segment partitioning from Kafka partitioning, all records from consumed partitions go to a single druid segment
- Support for restoring task on middle manager restarts by check pointing end offsets for segments
* take care of review comments
* make getCurrentOffsets call async, keep track of publishing sequence, review comments
* fix setEndoffset duplicate request handling, formatting
* fix unit test
* backward compatibility
* make AppenderatorDriverMetadata backwards compatible
* add unit test
* fix deadlock between persist and push executors in AppenderatorImpl
* fix formatting
* use persist dir instead of work dir
* review comments
* fix deadlock
* actually fix deadlock
* maxQueryTimeout property in runtime properties.
* extra line
* move withTimeoutAndMaxScatterGatherBytes method to QueryLifeCycle.
* Fix initialize method.
* remove unused import.
* doc update.
* some more details in doc about query failure..
* minor fix.
* decorating QueryRunner to set and verify context. Added by servers.
* remove whitespace.
* SQL: Improved behavior when implicitly casting strings to date/time literals.
- Handle all flavors of ISO8601 and SQL literals.
- Throw errors on other literals instead of silently transforming them to 0.
* Respect timeZone when format is null.
* Add retries for coordinator fetch and lookup start in LookupReferencesManager
* Fix LookupConfigTest
* Address comments
* Address more comments
* And address more comments
* Address comms
* Recognize 'not found' lookups in LookupReferencesManager.tryGetLookupListFromCoordinator(), by @egor-ryashin
* IT: Switch to OpenJDK8 base image.
Also split the Docker image into a base image and a child image, and
build the base image ahead of time for efficiency's sake. Also upgrade
ZK to 3.4.10.
* Additional comments about ZK upgrades.
* Add compaction task
* added doc
* use combining aggregators
* address comments
* add support for dimensionsSpec
* fix getUniqueDims and getUniqueMetics
* find unique dimensionsSpec
* fix compilation
* add unit test
* fix test
* fix test
* test for different dimension orderings and types, and doc for type and ordering
* add control for custom ordering and type
* update doc
* fix compile
* fix compile
* add segments param
* fix serde error
* fix build
* Introduce "transformSpec" at ingest-time.
It accepts a "filter" (standard query filter object) and "transforms" (a
list of objects with "name" and "expression"). These can be used to do
filtering and single-row transforms without need for a separate data
processing job.
The "expression" fields use the same expression language as other
expression-based feature.
* Remove forbidden api.
* Fix compile error.
* Fix tests.
* Some more changes.
- Add nullable annotation to Firehose.nextRow.
- Add tests for index task, realtime task, kafka task, hadoop mapper,
and ingestSegment firehose.
* Fix bad merge.
* Adjust imports.
* Adjust whitespace.
* Make Transform into an interface.
* Add missing annotation.
* Switch logger.
* Switch logger.
* Adjust test.
* Adjustment to handling for DatasourceIngestionSpec.
* Fix test.
* CR comments.
* Remove unused method.
* Add javadocs.
* More javadocs, and always decorate.
* Fix bug in TransformingStringInputRowParser.
* Fix bad merge.
* Fix ISFF tests.
* Fix DORC test.
* introducing CuratorLoadQueuePeon
* HttpLoadQueuePeon based off of current code
* Revert "Remove SegmentLoaderConfig.numLoadingThreads config (#4829)"
This reverts commit d8b3bfa63c.
* SegmentLoadDropHandler copy/pasted from ZkCoordinator
* Revert "1-based counts in ZkCoordinator (#4917)"
This reverts commit e725ff4146.
* remove non-zk part from ZkCoordinator
* remove zk part from SegmentLoadDropHandler
* additional changes for segment load/drop management with http
* address review comments
* add some more logs
* Execs class is moved
I've had problems ingesting several S3 files with Druid. After checking I saw this: https://groups.google.com/forum/#!msg/druid-user/4L62vjor4NM/p8Z_R3lEAQAJ and realised that the docs hasn't been updated. This issue might have been solved with new Druid versions, but for those who are still using older ones (0.9.2), it's nice having this change made :)
* Introduce System wide property to select how to store double.
Set the default to store as float
Change-Id: Id85cca04ed0e7ecbce78624168c586dcc2adafaa
* fix tests
Change-Id: Ib42db724b8a8f032d204b58c366caaeabdd0d939
* Change the property name
Change-Id: I3ed69f79fc56e3735bc8f3a097f52a9f932b4734
* add tests and make default distribution store doubles as 64bits
Change-Id: I237b07829117ac61e247a6124423b03992f550f2
* adding mvn argument to parallel-test profile
Change-Id: Iae5d1328f901c4876b133894fa37e0d9a4162b05
* move property name and helper function to io.druid.segment.column.Column
Change-Id: I62ea903d332515de2b7ca45c02587a1b015cb065
* fix docs and clean style
Change-Id: I726abb8f52d25dc9dc62ad98814c5feda5e4d065
* fix docs
Change-Id: If10f4cf1e51a58285a301af4107ea17fe5e09b6d
* Changes for lookup synchronization
* Refactor of Lookup classes
* Minor refactors and doc update
* Change coordinator instance to be retrieved by DruidLeaderClient
* Wait before thread shutdown
* Make disablelookups flag true by default
* Update docs
* Rename flag
* Move executorservice shutdown to finally block
* Update LookupConfig
* Refactoring and doc changes
* Remove lookup config constructor
* Revert Lookupconfig constructor changes
* Add tests to LookupConfig
* Make executorservice local
* Update LRM
* Move ListeningScheduledExecutorService to ExecutorCompletionService
* Move exception to outer block
* Remove check to see future is done
* Remove unnecessary assignment
* Add logging
* SQL: Upgrade to Calcite 1.14.0, some refactoring of internals.
This brings benefits:
- Ability to do GROUP BY and ORDER BY with ordinals.
- Ability to support IN filters beyond 19 elements (fixes#4203).
Some refactoring of druid-sql internals:
- Builtin aggregators and operators are implemented as SqlAggregators
and SqlOperatorConversions rather being special cases. This simplifies
the Expressions and GroupByRules code, which were becoming complex.
- SqlAggregator implementations are no longer responsible for filtering.
Added new functions:
- Expressions: strpos.
- SQL: TRUNCATE, TRUNC, LENGTH, CHAR_LENGTH, STRLEN, STRPOS, SUBSTR,
and DATE_TRUNC.
* Add missing @Override annotation.
* Adjustments for forbidden APIs.
* Adjustments for forbidden APIs.
* Disable GROUP BY alias.
* Doc reword.
* adding new post aggregators of test stats to druid-stats extension
* changes to address code review comments
* fix checkstyle violations using druid_intellij_formatting.xml after merge upstream/master
* add @Override annotation per CI log
* make changes per review comments/discussions
* remove some blocks per review comments
* add configs to enable fast request failure on broker
* address review comments
* fix styling error
* fix style error
* have enableRequestLimit config instead of having user specify max limit
* add comment
* fix style error
* add UT fo LimitRequestsFilter
* address review comments
* fix test
* make LimitRequestsFilterTest more robust
* fix JettyQosTest
* remove ServerConfig from DruidNode as all information needs to be present in DruidNode serialized form
* sanitize output of /druid/coordinator/v1/cluster endpoint
* Add flattenSpec support to the Avro parser.
Also:
- Refactor the JSONPathParser a bit so it can share flattening code
with Avro (see ObjectFlatteners).
- Remove the JSONParser. It was only used in two places: by
UriNamespaceExtractor, and as a base for JSONToLowerParser. Migrated
the former to JSONPathParser and made the latter a standalone.
- Move GenericRecordAsMap to the Parquet extension, since the Avro
extension no longer uses it.
* Fix indentation.
* Fix equals/hashCode.
* Move caffeine out of extension.
* Remove `JsonTypeName` from the class itself
* Fix bad docs
* Fix distribution pom
* Fix unused import
* Make caffeine default
* Address code comments
* Add more description around the jre version in the readme
* Add suggested comments
* Move emitters from io.druid.server.initialization to the dedicated io.druid.server.emitter package; Update emitter library to 0.6.0; Add support for ParametrizedUriEmitter; Support hierarical properties in JsonConfigurator (was needed for ParametrizedUriEmitter)
* Log created RequestLoggers
* Fix forbidden API
* Test fix
* More Http and Parametrized Http Emitter docs
* Switch to debug level
* Move scan-query from a contrib extension into core.
Based on a proposal at: https://groups.google.com/d/topic/druid-development/ME_OatUDnbk/discussion
This patch also adds support for virtual columns to the Scan query,
and updates Druid SQL to use Scan instead of Select.
This patch also makes some behavioral changes to handling of the __time
column. In particular, it is now is returned as "__time" rather than
"timestamp"; it is no longer included if you do not specifically ask for
it in your "columns"; and it is returned as a long rather than a string.
Users can revert time handling to the legacy extension behavior by
setting "legacy" : true in their queries, or setting the property
druid.query.scan.legacy = true. This is meant to provide a migration
path for users that were formerly using the contrib extension.
* Adjustments from review.
* Add back Select query.
* Adjust SQL docs.
* Restore SelectQuery link.
* add jq expression in the flattenSpec
* more tests
* add benchmark
* fix style
* use JsonNode for both JSONPath and JQ
* clean up
* more clean up
* add documentation
* fix style
* move jackson-jq version to dependencyManagement section. remove commented code
* oops. revert wrong fix
* throw IllegalArgumentException for JQ syntax error
* remove e.printStackTrace() that is forbidden
* touch
* SQL: Full TRIM support.
- Support trimming arbitrary characters
- Support BOTH, LEADING, and TRAILING
* Remove unused import.
* Fix tests, add RTRIM / LTRIM.
* Remove unused imports.
* BTRIM and docs.
* Replace for with foreach.
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Himanshu
Alexander Korablev
Parag Jain
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Andrew
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