* Adding support for autoscaling in GCE
* adding extra google deps also in gce pom
* fix link in doc
* remove unused deps
* adding terms to spelling file
* version in pom 0.17.0-incubating-SNAPSHOT --> 0.18.0-SNAPSHOT
* GCEXyz -> GceXyz in naming for consistency
* add preconditions
* add VisibleForTesting annotation
* typos in comments
* use StringUtils.format instead of String.format
* use custom exception instead of exit
* factorize interval time between retries
* making literal value a constant
* iter all network interfaces
* use provided on google (non api) deps
* adding missing dep
* removing unneded this and use Objects methods instead o 3-way if in hash and comparison
* adding import
* adding retries around getRunningInstances and adding limit for operation end waiting
* refactor GceEnvironmentConfig.hashCode
* 0.18.0-SNAPSHOT -> 0.19.0-SNAPSHOT
* removing unused config
* adding tests to hash and equals
* adding nullable to waitForOperationEnd
* adding testTerminate
* adding unit tests for createComputeService
* increasing retries in unrelated integration-test to prevent sporadic failure (hopefully)
* reverting queryResponseTemplate change
* adding comment for Compute.Builder.build() returning null
- Reorder both the datasource and query-execution page orderings to
table, lookup, union, inline, query, join. (Roughly increasing order
of conceptual "fanciness".)
- Add more crosslinks from datasource page to query-execution page:
one per datasource type.
* Refresh query docs.
Larger changes:
- New doc: querying/datasource.md describes the various kinds of
datasources you can use, and has examples for both SQL and native.
- New doc: querying/query-execution.md describes how native queries
are executed at a high level. It doesn't go into the details of specific
query engines or how queries run at a per-segment level. But I think it
would be good to add or link that content here in the future.
- Refreshed doc: querying/sql.md updated to refer to joins, reformatted
a bit, added a new "Query translation" section that explains how
queries are translated from SQL to native, and removed configuration
details (moved to configuration/index.md).
- Refreshed doc: querying/joins.md updated to refer to join datasources.
Smaller changes:
- Add helpful banners to the top of query documentation pages telling
people whether a given page describes SQL, native, or both.
- Add SQL metrics to operations/metrics.md.
- Add some color and cross-links in various places.
- Add native query component docs to the sidebar, and renamed them so
they look nicer.
- Remove Select query from the sidebar.
- Fix Broker SQL configs in configuration/index.md. Remove them from
querying/sql.md.
- Combined querying/searchquery.md and querying/searchqueryspec.md.
* Updates.
* Fix numbering.
* Fix glitches.
* Add new words to spellcheck file.
* Assorted changes.
* Further adjustments.
* Add missing punctuation.
* Add API to trigger a compaction by the coordinator for integration tests
* Add missing integration tests for the compaction by the coordinator
* address comments
* Document possible vulnerabilities for the druid-ranger-security
In certain configurations the ranger plugin can expose vulnerabilities due
to some of its dependencies having CVEs.
* Spelling checker is a bit tight
* kinesis IT
* Kinesis IT
* Kinesis IT
* Kinesis IT
* Kinesis IT
* Kinesis IT
* Kinesis IT
* Kinesis IT
* Kinesis IT
* Kinesis IT
* Kinesis IT
* Kinesis IT
* Kinesis IT
* Kinesis IT
* Kinesis IT
* fix kinesis timeout
* Kinesis IT
* Kinesis IT
* fix checkstyle
* Kinesis IT
* address comments
* fix checkstyle
* druid pac4j security extension for OpenID Connect OAuth 2.0 authentication
* update version in druid-pac4j pom
* introducing unauthorized resource filter
* authenticated but authorized /unified-webconsole.html
* use httpReq.getRequestURI() for matching callback path
* add documentation
* minor doc addition
* licesne file updates
* make dependency analyze succeed
* fix doc build
* hopefully fixes doc build
* hopefully fixes license check build
* yet another try on fixing license build
* revert unintentional changes to website folder
* update version to 0.18.0-SNAPSHOT
* check session and its expiry on each request
* add crypto service
* code for encrypting the cookie
* update doc with cookiePassphrase
* update license yaml
* make sessionstore in Pac4jFilter private non static
* make Pac4jFilter fields final
* okta: use sha256 for hmac
* remove incubating
* add UTs for crypto util and session store impl
* use standard charsets
* add license header
* remove unused file
* add org.objenesis.objenesis to license.yaml
* a bit of nit changes in CryptoService and embedding EncryptionResult for clarity
* rename alg to cipherAlgName
* take cipher alg name, mode and padding as input
* add java doc for CryptoService and make it more understandable
* another UT for CryptoService
* cache pac4j Config
* use generics clearly in Pac4jSessionStore
* update cookiePassphrase doc to mention PasswordProvider
* mark stuff Nullable where appropriate in Pac4jSessionStore
* update doc to mention jdbc
* add error log on reaching callback resource
* javadoc for Pac4jCallbackResource
* introduce NOOP_HTTP_ACTION_ADAPTER
* add correct module name in license file
* correct extensions folder name in licenses.yaml
* replace druid-kubernetes-extensions to druid-pac4j
* cache SecureRandom instance
* rename UnauthorizedResourceFilter to AuthenticationOnlyResourceFilter
* SQL support for joins on subqueries.
Changes to SQL module:
- DruidJoinRule: Allow joins on subqueries (left/right are no longer
required to be scans or mappings).
- DruidJoinRel: Add cost estimation code for joins on subqueries.
- DruidSemiJoinRule, DruidSemiJoinRel: Removed, since DruidJoinRule can
handle this case now.
- DruidRel: Remove Nullable annotation from toDruidQuery, because
it is no longer needed (it was used by DruidSemiJoinRel).
- Update Rules constants to reflect new rules available in our current
version of Calcite. Some of these are useful for optimizing joins on
subqueries.
- Rework cost estimation to be in terms of cost per row, and place all
relevant constants in CostEstimates.
Other changes:
- RowBasedColumnSelectorFactory: Don't set hasMultipleValues. The lack
of isComplete is enough to let callers know that columns might have
multiple values, and explicitly setting it to true causes
ExpressionSelectors to think it definitely has multiple values, and
treat the inputs as arrays. This behavior interfered with some of the
new tests that involved queries on lookups.
- QueryContexts: Add maxSubqueryRows parameter, and use it in druid-sql
tests.
* Fixes for tests.
* Adjustments.
* Match GREATEST/LEAST function behavior
Change the behavior of the GREATEST / LEAST functions to be similar to
how it is implemented in other databases (as functions instead of
aggregators). The GREATEST/LEAST functions are not in the SQL standard,
but users will expect behavior similar to what other databases provide.
* Match postgres behavior & handle more SQL types
* Fix imports
* Add OnHeapMemorySegmentWriteOutMediumFactory
Add a factory for OnHeapMemorySegmentWriteOutMedium to support direct writing via Spark.
* Register OnHeapMemorySegmentWriteOutMediumFactory.
Register OnHeapMemorySegmentWriteOutMediumFactory with SegmentWriteOutMediumFactory.
* Remove unnecessary throws
The base `makeSegmentWriteOutMedium` throws an IOException, but the particular implementation of OnHeapMemorySegmentWriteOutMediumFactory does not throw a checked exception.
* Update SegmentWriteOutMedium docs to include onHeapMemory
Update the SegmentWriteOutMedium section of the indexing docs to include a description of the new OnHeapSegmentMediumWriteOut option.
* Skip empty files for local, hdfs, and cloud input sources
* split hint spec doc
* doc for skipping empty files
* fix typo; adjust tests
* unnecessary fluent iterable
* address comments
* fix test
* use the right lists
* fix test
* fix test
* Add SQL GROUPING SETS support.
Built on top of the subtotalsSpec feature in the groupBy query. This also involves
two changes to subtotalsSpec:
- Alter behavior so limitSpec is applied after subtotalsSpec, rather than applied to
each grouping set. This is more in line with SQL standard behavior. I think it is okay
to make this change, since the old behavior was not documented, so users should
hopefully not be depending on it.
- Fix a bug where virtual columns were included in the subtotal queries, but they
should not have been.
Also fixes two bugs in query equality checking:
- BaseQuery: Use getDuration() instead of "duration" in equals and hashCode, since the
latter is lazily initialized and might be null in one query but not the other.
- GroupByQuery: Include subtotalsSpec in equals and hashCode.
* Fix bugs.
* Fix tests.
* PR updates.
* Grouping class hygiene.
* Add support for optional cloud (aws, gcs, etc.) credentials for s3 for ingestion
* Add support for optional cloud (aws, gcs, etc.) credentials for s3 for ingestion
* Add support for optional cloud (aws, gcs, etc.) credentials for s3 for ingestion
* fix build failure
* fix failing build
* fix failing build
* Code cleanup
* fix failing test
* Removed CloudConfigProperties and make specific class for each cloudInputSource
* Removed CloudConfigProperties and make specific class for each cloudInputSource
* pass s3ConfigProperties for split
* lazy init s3client
* update docs
* fix docs check
* address comments
* add ServerSideEncryptingAmazonS3.Builder
* fix failing checkstyle
* fix typo
* wrap the ServerSideEncryptingAmazonS3.Builder in a provider
* added java docs for S3InputSource constructor
* added java docs for S3InputSource constructor
* remove wrap the ServerSideEncryptingAmazonS3.Builder in a provider
* Move Azure extension into Core
Moving the azure extension into Core.
* * Fix build failure
* * Add The MIT License (MIT) to list of compatible licenses
* * Address review comments
* * change reference to contrib azure to core azure
* * Fix spelling mistakes.
* Add common optional dependencies for extensions
Include hadoop-aws and postgres JDBC connector jar to improve
out-of-the-box experience for extensions. The mysql JDBC connector jar
is not bundled as it is GPL.
* Update docs
* Fix typo
* Create splits of multiple files for parallel indexing
* fix wrong import and npe in test
* use the single file split in tests
* rename
* import order
* Remove specific local input source
* Update docs/ingestion/native-batch.md
Co-Authored-By: sthetland <steve.hetland@imply.io>
* Update docs/ingestion/native-batch.md
Co-Authored-By: sthetland <steve.hetland@imply.io>
* doc and error msg
* fix build
* fix a test and address comments
Co-authored-by: sthetland <steve.hetland@imply.io>
* add Expr.stringify which produces parseable expression strings, parser support for null values in arrays, and parser support for empty numeric arrays
* oops, macros are expressions too
* style
* spotbugs
* qualified type arrays
* review stuffs
* simplify grammar
* more permissive array parsing
* reuse expr joiner
* fix it
* Add Azure config options for segment prefix and max listing length
Added configuration options to allow the user to specify the prefix
within the segment container to store the segment files. Also
added a configuration option to allow the user to specify the
maximum number of input files to stream for each iteration.
* * Fix test failures
* * Address review comments
* * add dependency explicitly to pom
* * update docs
* * Address review comments
* * Address review comments
* Add config option for namespacePrefix
opentsdb emitter sends metric names to opentsdb verbatim as what druid
names them, for example "query.count", this doesn't fit well with a
central opentsdb server which might have namespaced metrics, for example
"druid.query.count". This adds support for adding an optional prefix.
The prefix also gets a trailing dot (.), after it, so the metric name
becomes <namespacePrefix>.<metricname>
configureable as "druid.emitter.opentsdb.namespacePrefix", as
documented.
Co-authored-by: Martin Gerholm <martin.gerholm@deltaprojects.com>
Signed-off-by: Martin Gerholm <martin.gerholm@deltaprojects.com>
Signed-off-by: Björn Zettergren <bjorn.zettergren@deltaprojects.com>
* Spelling for PR #9372
Added "namespacePrefix" to .spelling exceptions, it's a variable name
used in documentation for opentsdb-emitter.
* fixing tests for PR #9372
changed naming of variables to be more descriptive
added test of prefix being an empty string: "".
added a conditional to buildNamespacePrefix to check for empty string
being fed if EventConverter called without OpentsdbEmitterConfig
instance.
* fixing checkstyle errors for PR #9372
used == to compare literal string, should be equals()
* cleaned up and updated PR #9372
Created a buildMetric function as suggested by clintropolis, and
removed redundant tests for empty strings as they're only used when
calling EventConverter directly without going through
OpentsdbEmitterConfig.
* consistent naming of tests PR #9372
Changed names of tests in files to match better with what it was
actually testing
changed check for Strings.isNullOrEmpty to just check for `null`, as
empty string valued `namespacePrefix` is handled in
OpentsdbEmitterConfig.
Co-authored-by: Martin Gerholm <inspector-martin@users.noreply.github.com>
* Create new dynamic config to pause coordinator helpers when needed
* Fix spelling mistakes flagged in Travis build
* Add an integration test for coordinator pause dynamic config
* Improve documentation for new dynamic coordinator config and remove un-needed info logs in favor of debug
* address naming convention of 'deep store' vs 'deep storage' in new configs doc line
* Fix newline at end of configuration index.md
* Last try to resolve newline issue in configuration readme
* fix spell checks from travis build
* Fix another flagges spelling error from Travis
* implement shell for greatest sql aggregator with hardcoded long values
* implement functional long greatest aggregator for direct access columns
* implement greatest & least sql aggregators for long & double types using abstract base class
* add javadocs, unit tests & handling for floats for greatest/least postaggregations
* minor checkstyle fix
* improve naming for the test cases
* make inner class static
* remove blank lines to retest travis build
* change trivial text to rerun travis build
* implement suggested updates for greatest/least sql aggs & fix checkstyle issues
* fix stale comments in greatest/least sql aggs abstract base
* Update sql.md
* improve sql function definitions for greatest/least sql aggs
* add more tests for greatest/least sql aggs
* add tests to cover invalid greatest/least sql expressions
* rename & reorder greatest least sql tests
* Reconcile terminology and method naming to 'used/unused segments'; Don't use terms 'enable/disable data source'; Rename MetadataSegmentManager to MetadataSegments; Make REST API methods which mark segments as used/unused to return server error instead of an empty response in case of error
* Fix brace
* Import order
* Rename withKillDataSourceWhitelist to withSpecificDataSourcesToKill
* Fix tests
* Fix tests by adding proper methods without interval parameters to IndexerMetadataStorageCoordinator instead of hacking with Intervals.ETERNITY
* More aligned names of DruidCoordinatorHelpers, rename several CoordinatorDynamicConfig parameters
* Rename ClientCompactTaskQuery to ClientCompactionTaskQuery for consistency with CompactionTask; ClientCompactQueryTuningConfig to ClientCompactionTaskQueryTuningConfig
* More variable and method renames
* Rename MetadataSegments to SegmentsMetadata
* Javadoc update
* Simplify SegmentsMetadata.getUnusedSegmentIntervals(), more javadocs
* Update Javadoc of VersionedIntervalTimeline.iterateAllObjects()
* Reorder imports
* Rename SegmentsMetadata.tryMark... methods to mark... and make them to return boolean and the numbers of segments changed and relay exceptions to callers
* Complete merge
* Add CollectionUtils.newTreeSet(); Refactor DruidCoordinatorRuntimeParams creation in tests
* Remove MetadataSegmentManager
* Rename millisLagSinceCoordinatorBecomesLeaderBeforeCanMarkAsUnusedOvershadowedSegments to leadingTimeMillisBeforeCanMarkAsUnusedOvershadowedSegments
* Fix tests, refactor DruidCluster creation in tests into DruidClusterBuilder
* Fix inspections
* Fix SQLMetadataSegmentManagerEmptyTest and rename it to SqlSegmentsMetadataEmptyTest
* Rename SegmentsAndMetadata to SegmentsAndCommitMetadata to reduce the similarity with SegmentsMetadata; Rename some methods
* Rename DruidCoordinatorHelper to CoordinatorDuty, refactor DruidCoordinator
* Unused import
* Optimize imports
* Rename IndexerSQLMetadataStorageCoordinator.getDataSourceMetadata() to retrieveDataSourceMetadata()
* Unused import
* Update terminology in datasource-view.tsx
* Fix label in datasource-view.spec.tsx.snap
* Fix lint errors in datasource-view.tsx
* Doc improvements
* Another attempt to please TSLint
* Another attempt to please TSLint
* Style fixes
* Fix IndexerSQLMetadataStorageCoordinator.createUsedSegmentsSqlQueryForIntervals() (wrong merge)
* Try to fix docs build issue
* Javadoc and spelling fixes
* Rename SegmentsMetadata to SegmentsMetadataManager, address other comments
* Address more comments
* Update data-formats.md
Field error and light rewording of new Avro material (and working through the doc authoring process).
* Update data-formats.md
Make default statements consistent. Future change: s/=/is.
* null handling for numeric first/last aggregators, refactor to not extend nullable numeric agg since they are complex typed aggs
* initially null or not based on config
* review stuff, make string first/last consistent with null handling of numeric columns, more tests
* docs
* handle nil selectors, revert to primitive first/last types so groupby v1 works...
* Doc update for new input source and input format.
- The input source and input format are promoted in all docs under docs/ingestion
- All input sources including core extension ones are located in docs/ingestion/native-batch.md
- All input formats and parsers including core extension ones are localted in docs/ingestion/data-formats.md
- New behavior of the parallel task with different partitionsSpecs are documented in docs/ingestion/native-batch.md
* parquet
* add warning for range partitioning with sequential mode
* hdfs + s3, gs
* add fs impl for gs
* address comments
* address comments
* gcs
* Tutorials use new ingestion spec where possible
There are 2 main changes
* Use task type index_parallel instead of index
* Remove the use of parser + firehose in favor of inputFormat + inputSource
index_parallel is the preferred method starting in 0.17. Setting the job to
index_parallel with the default maxNumConcurrentSubTasks(1) is the equivalent
of an index task
Instead of using a parserSpec, dimensionSpec and timestampSpec have been
promoted to the dataSchema. The format is described in the ioConfig as the
inputFormat.
There are a few cases where the new format is not supported
* Hadoop must use firehoses instead of the inputSource and inputFormat
* There is no equivalent of a combining firehose as an inputSource
* A Combining firehose does not support index_parallel
* fix typo
* Fail superbatch range partition multi dim values
Change the behavior of parallel indexing range partitioning to fail
ingestion if any row had multiple values for the partition dimension.
After this change, the behavior matches that of hadoop indexing.
(Previously, rows with multiple dimension values would be skipped.)
* Improve err msg, rename method, rename test class
* Allow startup scripts to specify java home
The startup scripts now look for java in 3 locations. The order is from
most related to druid to least, ie
${DRUID_JAVA_HOME}
${JAVA_HOME}
${PATH}
* Update fn names and clean up code
* final round of fixes
* fix spellcheck
* Parallel indexing single dim partitions
Implements single dimension range partitioning for native parallel batch
indexing as described in #8769. This initial version requires the
druid-datasketches extension to be loaded.
The algorithm has 5 phases that are orchestrated by the supervisor in
`ParallelIndexSupervisorTask#runRangePartitionMultiPhaseParallel()`.
These phases and the main classes involved are described below:
1) In parallel, determine the distribution of dimension values for each
input source split.
`PartialDimensionDistributionTask` uses `StringSketch` to generate
the approximate distribution of dimension values for each input
source split. If the rows are ungrouped,
`PartialDimensionDistributionTask.UngroupedRowDimensionValueFilter`
uses a Bloom filter to skip rows that would be grouped. The final
distribution is sent back to the supervisor via
`DimensionDistributionReport`.
2) The range partitions are determined.
In `ParallelIndexSupervisorTask#determineAllRangePartitions()`, the
supervisor uses `StringSketchMerger` to merge the individual
`StringSketch`es created in the preceding phase. The merged sketch is
then used to create the range partitions.
3) In parallel, generate partial range-partitioned segments.
`PartialRangeSegmentGenerateTask` uses the range partitions
determined in the preceding phase and
`RangePartitionCachingLocalSegmentAllocator` to generate
`SingleDimensionShardSpec`s. The partition information is sent back
to the supervisor via `GeneratedGenericPartitionsReport`.
4) The partial range segments are grouped.
In `ParallelIndexSupervisorTask#groupGenericPartitionLocationsPerPartition()`,
the supervisor creates the `PartialGenericSegmentMergeIOConfig`s
necessary for the next phase.
5) In parallel, merge partial range-partitioned segments.
`PartialGenericSegmentMergeTask` uses `GenericPartitionLocation` to
retrieve the partial range-partitioned segments generated earlier and
then merges and publishes them.
* Fix dependencies & forbidden apis
* Fixes for integration test
* Address review comments
* Fix docs, strict compile, sketch check, rollup check
* Fix first shard spec, partition serde, single subtask
* Fix first partition check in test
* Misc rewording/refactoring to address code review
* Fix doc link
* Split batch index integration test
* Do not run parallel-batch-index twice
* Adjust last partition
* Split ITParallelIndexTest to reduce runtime
* Rename test class
* Allow null values in range partitions
* Indicate which phase failed
* Improve asserts in tests
* add prefixes support to google input source, making it symmetrical-ish with s3
* docs
* more better, and tests
* unused
* formatting
* javadoc
* dependencies
* oops
* review comments
* better javadoc
* add s3 input source for native batch ingestion
* add docs
* fixes
* checkstyle
* lazy splits
* fixes and hella tests
* fix it
* re-use better iterator
* use key
* javadoc and checkstyle
* exception
* oops
* refactor to use S3Coords instead of URI
* remove unused code, add retrying stream to handle s3 stream
* remove unused parameter
* update to latest master
* use list of objects instead of object
* serde test
* refactor and such
* now with the ability to compile
* fix signature and javadocs
* fix conflicts yet again, fix S3 uri stuffs
* more tests, enforce uri for bucket
* javadoc
* oops
* abstract class instead of interface
* null or empty
* better error
* Fix the potential race SplittableInputSource.getNumSplits() and SplittableInputSource.createSplits() in TaskMonitor
* Fix docs and javadoc
* Add unit tests for large or small estimated num splits
* add override
* add parquet support to native batch
* cleanup
* implement toJson for sampler support
* better binaryAsString test
* docs
* i hate spellcheck
* refactor toMap conversion so can be shared through flattenerMaker, default impls should be good enough for orc+avro, fixup for merge with latest
* add comment, fix some stuff
* adjustments
* fix accident
* tweaks
If the JDBC drivers are missing from the lookup extensions, throw an
exception that directs the user how to resolve the issue. This change is
a follow up to #8825.
* transformSpec + array expressions
changes:
* added array expression support to transformSpec
* removed ParseSpec.verify since its only use afaict was preventing transform expr that did not replace their input from functioning
* hijacked index task test to test changes
* remove docs about being unsupported
* re-arrange test assert
* unused imports
* imports
* fix tests
* preserve types
* suppress warning, fixes, add test
* formatting
* cleanup
* better list to array type conversion and tests
* fix oops
* Add reference to `druid.storage.type`
This should be in here. Without setting storage type to S3 globally it will obviously not be used, even if all other parameters are correct.
* Update s3.md
Add global storage parameter to knob table.
* Update s3.md
* SQL: EARLIEST, LATEST aggregators.
I chose these names instead of FIRST, LAST because those are already
reserved functions in Calcite that mean something different. I think
these are also better names anyway.
* Finalify.
* SQL updates.
* Adjust aggregator calls.
* Validations, test updates.
* Review docs.
* sketch of broker parallel merges done in small batches on fork join pool
* fix non-terminating sequences, auto compute parallelism
* adjust benches
* adjust benchmarks
* now hella more faster, fixed dumb
* fix
* remove comments
* log.info for debug
* javadoc
* safer block for sequence to yielder conversion
* refactor LifecycleForkJoinPool into LifecycleForkJoinPoolProvider which wraps a ForkJoinPool
* smooth yield rate adjustment, more logs to help tune
* cleanup, less logs
* error handling, bug fixes, on by default, more parallel, more tests
* remove unused var
* comments
* timeboundary mergeFn
* simplify, more javadoc
* formatting
* pushdown config
* use nanos consistently, move logs back to debug level, bit more javadoc
* static terminal result batch
* javadoc for nullability of createMergeFn
* cleanup
* oops
* fix race, add docs
* spelling, remove todo, add unhandled exception log
* cleanup, revert unintended change
* another unintended change
* review stuff
* add ParallelMergeCombiningSequenceBenchmark, fixes
* hyper-threading is the enemy
* fix initial start delay, lol
* parallelism computer now balances partition sizes to partition counts using sqrt of sequence count instead of sequence count by 2
* fix those important style issues with the benchmarks code
* lazy sequence creation for benchmarks
* more benchmark comments
* stable sequence generation time
* update defaults to use 100ms target time, 4096 batch size, 16384 initial yield, also update user docs
* add jmh thread based benchmarks, cleanup some stuff
* oops
* style
* add spread to jmh thread benchmark start range, more comments to benchmarks parameters and purpose
* retool benchmark to allow modeling more typical heterogenous heavy workloads
* spelling
* fix
* refactor benchmarks
* formatting
* docs
* add maxThreadStartDelay parameter to threaded benchmark
* why does catch need to be on its own line but else doesnt
* Add option lateMessageRejectionStartDate
* Use option lateMessageRejectionStartDate
* Fix tests
* Add lateMessageRejectionStartDate to kafka indexing service
* Update tests kafka indexing service
* Fix tests for KafkaSupervisorTest
* Add lateMessageRejectionStartDate to KinesisSupervisorIOConfig
* Fix var name
* Update documentation
* Add check lateMessageRejectionStartDateTime and lateMessageRejectionPeriod, fails if both were specified.
* remove select query
* thanks teamcity
* oops
* oops
* add back a SelectQuery class that throws RuntimeExceptions linking to docs
* adjust text
* update docs per review
* deprecated
Since it hasn't received updates or community interest in a while, it makes sense
to de-emphasize it in the distribution and most documentation (outside of simple
mentions of its existence).
* Support assign tasks to run on different tiers of MiddleManagers
* address comments
* address comments
* rename tier to category and docs
* doc
* fix doc
* fix spelling errors
* docs
* Stateful auto compaction
* javaodc
* add removed test back
* fix test
* adding indexSpec to compactionState
* fix build
* add lastCompactionState
* address comments
* extract CompactionState
* fix doc
* fix build and test
* Add a task context to store compaction state; add javadoc
* fix it test
* IOConfig for compaction task
* add javadoc, doc, unit test
* fix webconsole test
* add spelling
* address comments
* fix build and test
* address comments
* Add tier based usage metrics for historical nodes to help with druid historical autoscaling
Add tier based usage metrics for historical nodes to help druid cluster orchestration systems understand the historical node usage and requirements. Following metrics would be helpful -
tier/required/capacity- total capacity in bytes required in each tier. Dimensions - tier
tier/total/capacity - total capacity in bytes available in a given tier. Dimension - tier
tier/historical/count - no. of historical nodes available in each tier. Dimension - tier
tier/replication/factor - configured maximum replication factor in given tier. Dimension - tier
* fix unit test failures
* Support LDAP authentication/authorization
* fixed integration-tests
* fixed Travis CI build errors related to druid-security module
* fixed failing test
* fixed failing test header
* added comments, force build
* fixes for strict compilation spotbugs checks
* removed authenticator rolling credential update feature
* removed escalator rolling credential update feature
* fixed teamcity inspection deprecated API usage error
* fixed checkstyle execution error, removed unused import
* removed cached config as part of removing authenticator rolling credential update feature
* removed config bundle entity as part of removing authenticator rolling credential update feature
* refactored ldao configuration
* added support for SSLContext configuration and TLSCertificateChecker
* removed check to return authentication failure when user has no group assigned, will be checked and handled by the authorizer
* Separate out authorizer checks between metadata-backed store user and LDAP user/groups
* refactored BasicSecuritySSLSocketFactory usage to fix strict compilation spotbugs checks
* fixes build issue
* final review comments updates
* final review comments updates
* fixed LGTM and spellcheck alerts
* Fixed Avatica auth failure error message check
* Updated metadata credentials validator exception message string, replaced DB with metadata store
* groupBy query: optional limit push down to segment scan
* make segment level limit push down configurable
* fix teamcity errors
* fix segment limit pushdown flag handling on query level config override
* use equals for comparator check
* fix sql and null handling
* fix unused imports
* handle null offset in NullableValueGroupByColumnSelectorStrategy for buffer comparator similar to RowBasedGrouperHelper.NullableRowBasedKeySerdeHelper
* fix segment underReplicated/unavailable counts to be gauges instead of counters
* fix jvm/gc/cpu to be a counter instead of timre
jvm/gc/cpu represents the total cpu time spent for multiple gc
invocations, not the time spent in each gc cycle.
the number needs to be divided by jvm/gc/count to get the average gc
time per cycle
* update docs
* fix spellcheck
* Implementing dropwizard emitter for druid
making metric manager and alert emitters as optional
* Refactor and make things work
more improvements
improve docs
refactrings
* Fix teamcity inspections
* review comments
* more review comments
* add limit to max number of gauges
* update pom version
* fix pom
* review comments
* review comment
* review comments
* fix broken doc link
review comments
review comments
* review comments
* fix checkstyle
* more spell check fixes
* fix travis failures
* #7641 - Changing segment distribution algorithm to distribute segments to multiple segment cache locations
* Fixing indentation
* WIP
* Adding interface for location strategy selection, least bytes used strategy impl, round-robin strategy impl, locationSelectorStrategy config with least bytes used strategy as the default strategy
* fixing code style
* Fixing test
* Adding a method visible only for testing, fixing tests
* 1. Changing the method contract to return an iterator of locations instead of a single best location. 2. Check style fixes
* fixing the conditional statement
* Added testSegmentDistributionUsingLeastBytesUsedStrategy, fixed testSegmentDistributionUsingRoundRobinStrategy
* to trigger CI build
* Add documentation for the selection strategy configuration
* to re trigger CI build
* updated docs as per review comments, made LeastBytesUsedStorageLocationSelectorStrategy.getLocations a synchronzied method, other minor fixes
* In checkLocationConfigForNull method, using getLocations() to check for null instead of directly referring to the locations variable so that tests overriding getLocations() method do not fail
* Implementing review comments. Added tests for StorageLocationSelectorStrategy
* Checkstyle fixes
* Adding java doc comments for StorageLocationSelectorStrategy interface
* checkstyle
* empty commit to retrigger build
* Empty commit
* Adding suppressions for words leastBytesUsed and roundRobin of ../docs/configuration/index.md file
* Impl review comments including updating docs as suggested
* Removing checkLocationConfigForNull(), @NotEmpty annotation serves the purpose
* Round robin iterator to keep track of the no. of iterations, impl review comments, added tests for round robin strategy
* Fixing the round robin iterator
* Removed numLocationsToTry, updated java docs
* changing property attribute value from tier to type
* Fixing assert messages
* Added live reports for Kafka and Native batch task
* Removed unused local variables
* Added the missing unit test
* Refine unit test logic, add implementation for HttpRemoteTaskRunner
* checksytle fixes
* Update doc descriptions for updated API
* remove unnecessary files
* Fix spellcheck complaints
* More details for api descriptions
* Adjust defaults for hashed partitioning
If neither the partition size nor the number of shards are specified,
default to partitions of 5,000,000 rows (similar to the behavior of
dynamic partitions). Previously, both could be null and cause incorrect
behavior.
Specifying both a partition size and a number of shards now results in
an error instead of ignoring the partition size in favor of using the
number of shards. This is a behavior change that makes it more apparent
to the user that only one of the two properties will be honored
(previously, a message was just logged when the specified partition size
was ignored).
* Fix test
* Handle -1 as null
* Add -1 as null tests for single dim partitioning
* Simplify logic to handle -1 as null
* Address review comments
* Rename partition spec fields
Rename partition spec fields to be consistent across the various types
(hashed, single_dim, dynamic). Specifically, use targetNumRowsPerSegment
and maxRowsPerSegment in favor of targetPartitionSize and
maxSegmentSize. Consistent and clearer names are easier for users to
understand and use.
Also fix various IntelliJ inspection warnings and doc spelling mistakes.
* Fix test
* Improve docs
* Add targetRowsPerSegment to HashedPartitionsSpec
James Dalton
Francesco Nidito
Gian Merlino
Clint Wylie
Maytas Monsereenusorn
Will Salisbury
Himanshu
bolkedebruin
Neil Volungis
Chi Cao Minh
Maytas Monsereenusorn
Jihoon Son
Julian Jaffe
zachjsh
als-sdin
Björn Zettergren
Dusan Maric
Atul Mohan
Lucas Capistrant
Aditya
sthetland
Roman Leventov
Zhenxiao Luo
Suneet Saldanha
singh
Jonathan Wei
Benjamin Hopp
Parag Jain
Vadim Ogievetsky
Fangyuan Deng
SeKing
Surekha
fst0
Jad Naous
Tijo Thomas
Giuseppe Martino
Eyal Yurman
David Glasser
Abhishek Radhakrishnan
Kamal Gurala
Mingming Qiu
Mitch Lloyd
Nishant Bangarwa
Mohammad J. Khan
Xavier Léauté
pdeva
Sashidhar Thallam
Rye