* add CachingClusteredClient benchmark, refactor some stuff
* revert WeightedServerSelectorStrategy to ConnectionCountServerSelectorStrategy and remove getWeight since felt artificial, default mergeResults in toolchest implementation for topn, search, select
* adjust javadoc
* adjustments
* oops
* use it
* use BinaryOperator, remove CombiningFunction, use Comparator instead of Ordering, other review adjustments
* rename createComparator to createResultComparator, fix typo, firstNonNull nullable parameters
* doc updates and changes to use the CollectionUtils.mapValues utility method
* Add Structural Search patterns to intelliJ
* refactoring from PR comments
* put -> putIfAbsent
* do single key lookup
* Benchmarks: New SqlBenchmark, add caching & vectorization to some others.
- Introduce a new SqlBenchmark geared towards benchmarking a wide
variety of SQL queries. Rename the old SqlBenchmark to
SqlVsNativeBenchmark.
- Add (optional) caching to SegmentGenerator to enable easier
benchmarking of larger segments.
- Add vectorization to FilteredAggregatorBenchmark and GroupByBenchmark.
* Query vectorization.
This patch includes vectorized timeseries and groupBy engines, as well
as some analogs of your favorite Druid classes:
- VectorCursor is like Cursor. (It comes from StorageAdapter.makeVectorCursor.)
- VectorColumnSelectorFactory is like ColumnSelectorFactory, and it has
methods to create analogs of the column selectors you know and love.
- VectorOffset and ReadableVectorOffset are like Offset and ReadableOffset.
- VectorAggregator is like BufferAggregator.
- VectorValueMatcher is like ValueMatcher.
There are some noticeable differences between vectorized and regular
execution:
- Unlike regular cursors, vector cursors do not understand time
granularity. They expect query engines to handle this on their own,
which a new VectorCursorGranularizer class helps with. This is to
avoid too much batch-splitting and to respect the fact that vector
selectors are somewhat more heavyweight than regular selectors.
- Unlike FilteredOffset, FilteredVectorOffset does not leverage indexes
for filters that might partially support them (like an OR of one
filter that supports indexing and another that doesn't). I'm not sure
that this behavior is desirable anyway (it is potentially too eager)
but, at any rate, it'd be better to harmonize it between the two
classes. Potentially they should both do some different thing that
is smarter than what either of them is doing right now.
- When vector cursors are created by QueryableIndexCursorSequenceBuilder,
they use a morphing binary-then-linear search to find their start and
end rows, rather than linear search.
Limitations in this patch are:
- Only timeseries and groupBy have vectorized engines.
- GroupBy doesn't handle multi-value dimensions yet.
- Vector cursors cannot handle virtual columns or descending order.
- Only some filters have vectorized matchers: "selector", "bound", "in",
"like", "regex", "search", "and", "or", and "not".
- Only some aggregators have vectorized implementations: "count",
"doubleSum", "floatSum", "longSum", "hyperUnique", and "filtered".
- Dimension specs other than "default" don't work yet (no extraction
functions or filtered dimension specs).
Currently, the testing strategy includes adding vectorization-enabled
tests to TimeseriesQueryRunnerTest, GroupByQueryRunnerTest,
GroupByTimeseriesQueryRunnerTest, CalciteQueryTest, and all of the
filtering tests that extend BaseFilterTest. In all of those classes,
there are some test cases that don't support vectorization. They are
marked by special function calls like "cannotVectorize" or "skipVectorize"
that tell the test harness to either expect an exception or to skip the
test case.
Testing should be expanded in the future -- a project in and of itself.
Related to #3011.
* WIP
* Adjustments for unused things.
* Adjust javadocs.
* DimensionDictionarySelector adjustments.
* Add "clone" to BatchIteratorAdapter.
* ValueMatcher javadocs.
* Fix benchmark.
* Fixups post-merge.
* Expect exception on testGroupByWithStringVirtualColumn for IncrementalIndex.
* BloomDimFilterSqlTest: Tag two non-vectorizable tests.
* Minor adjustments.
* Update surefire, bump up Xmx in Travis.
* Some more adjustments.
* Javadoc adjustments
* AggregatorAdapters adjustments.
* Additional comments.
* Remove switching search.
* Only missiles.
* disable all compression in intermediate segment persists while ingestion
* more changes and build fix
* by default retain existing indexingSpec for intermediate persisted segments
* document indexSpecForIntermediatePersists index tuning config
* fix build issues
* update serde tests
Make static imports forbidden in tests and remove all occurrences to be
consistent with the non-test code.
Also, various changes to files affected by above:
- Reformat to adhere to druid style guide
- Fix various IntelliJ warnings
- Fix various SonarLint warnings (e.g., the expected/actual args to
Assert.assertEquals() were flipped)
* Add round support for DS-HLL
Since the Cardinality aggregator has a "round" option to round off estimated
values generated from the HyperLogLog algorithm, add the same "round" option to
the DataSketches HLL Sketch module aggregators to be consistent.
* Fix checkstyle errors
* Change HllSketchSqlAggregator to do rounding
* Fix test for standard-compliant null handling mode
* #7875: Setting ACL on S3 task logs on similar lines as that of data segment pushed to S3
* #7875 1. Extracting a method (which uploads a file to S3 setting appropriate access control list to the file being uploaded) and moving it to utils class. 2. Adding S3TaskLogsTest.java file to test acl (permissions) on the task log files pushed to S3.
* fixing checkstyle errors
* #7875 Incorporating review comments
* array support for expression language for multi-value string columns
* fix tests?
* fixes
* more tests
* fixes
* cleanup
* more better, more test
* ignore inspection
* license
* license fix
* inspection
* remove dumb import
* more better
* some comments
* add expr rewrite for arrayfn args for more magic, tests
* test stuff
* more tests
* fix test
* fix test
* castfunc can deal with arrays
* needs more empty array
* more tests, make cast to long array more forgiving
* refactor
* simplify ExprMacro Expr implementations with base classes in core
* oops
* more test
* use Shuttle for Parser.flatten, javadoc, cleanup
* fixes and more tests
* unused import
* fixes
* javadocs, cleanup, refactors
* fix imports
* more javadoc
* more javadoc
* more
* more javadocs, nonnullbydefault, minor refactor
* markdown fix
* adjustments
* more doc
* move initial filter out
* docs
* map empty arg lambda, apply function argument validation
* check function args at parse time instead of eval time
* more immutable
* more more immutable
* clarify grammar
* fix docs
* empty array is string test, we need a way to make arrays better maybe in the future, or define empty arrays as other types..
* Bump Apache Avro to 1.9.0
Apache Avro 1.9.0 brings a lot of new features:
* Deprecate Joda-Time in favor of Java8 JSR310 and setting it as default
* Remove support for Hadoop 1.x
* Move from Jackson 1.x to 2.9
* Add ZStandard Codec
* Lots of updates on the dependencies to fix CVE's
* Remove Jackson classes from public API
* Apache Avro is built by default with Java 8
* Apache Avro is compiled and tested with Java 11 to guarantee compatibility
* Apache Avro MapReduce is compiled and tested with Hadoop 3
* Apache Avro is now leaner, multiple dependencies were removed: guava, paranamer, commons-codec, and commons-logging
* Introduce JMH Performance Testing Framework
* Add Snappy support for C++ DataFile
* and many, many more!
* Add exclusions for Jackson
* Remove Apache Pig from the tests
* Remove the Pig specific part
* Fix the Checkstyle issues
* Cleanup a bit
* Add an additional test
* Revert the abstract class
* https://github.com/apache/incubator-druid/issues/7316 Use Map.putIfAbsent() instead of containsKey() + put()
* fixing indentation
* Using map.computeIfAbsent() instead of map.putIfAbsent() where appropriate
* fixing checkstyle
* Changing the recommendation text
* Reverting auto changes made by IDE
* Implementing recommendation: A ConcurrentHashMap on which computeIfAbsent() is called should be assigned into variables of ConcurrentHashMap type, not ConcurrentMap
* Removing unused import
Reading of auth cookie was not checking URI of the server where request was being sent. This was causing cookie set for one server to be sent to another one and extra authentication round trips between internal druid services.
* Add state and error tracking for seekable stream supervisors
* Fixed nits in docs
* Made inner class static and updated spec test with jackson inject
* Review changes
* Remove redundant config param in supervisor
* Style
* Applied some of Jon's recommendations
* Add transience field
* write test
* implement code review changes except for reconsidering logic of markRunFinishedAndEvaluateHealth()
* remove transience reporting and fix SeekableStreamSupervisorStateManager impl
* move call to stateManager.markRunFinished() from RunNotice to runInternal() for tests
* remove stateHistory because it wasn't adding much value, some fixes, and add more tests
* fix tests
* code review changes and add HTTP health check status
* fix test failure
* refactor to split into a generic SupervisorStateManager and a specific SeekableStreamSupervisorStateManager
* fixup after merge
* code review changes - add additional docs
* cleanup KafkaIndexTaskTest
* add additional documentation for Kinesis indexing
* remove unused throws class
* SQL: Allow select-sort-project query shapes.
Fixes#7768.
Design changes:
- In PartialDruidQuery, allow projection after select + sort by removing
the SELECT_SORT query stage and instead allowing the SORT and
SORT_PROJECT stages to apply either after aggregation or after a plain
non-aggregating select. This is different from prior behavior, where
SORT and SORT_PROJECT were only considered valid after aggregation
stages. This logic change is in the "canAccept" method.
- In DruidQuery, represent either kind of sorting with a single "Sorting"
class (instead of DefaultLimitSpec). The Sorting class is still
convertible into a DefaultLimitSpec, but is also convertible into the
sorting parameters accepted by a Scan query.
- In DruidQuery, represent post-select and post-sorting projections with
a single "Projection" class. This obsoletes the SortProject and
SelectProjection classes, and simplifies the DruidQuery by allowing us
to move virtual-column and post-aggregator-creation logic into the
new Projection class.
- Split "DruidQuerySignature" into RowSignature and VirtualColumnRegistry.
This effectively means that instead of having mutable and immutable
versions of DruidQuerySignature, we instead of RowSignature (always
immutable) and VirtualColumnRegistry (always mutable, but sometimes
null). This change wasn't required, but IMO it this makes the logic
involving them easier to follow, and makes it more clear when the
virtual column registry is active and when it's not.
Other changes:
- ConvertBoundsToSelectors now just accepts a RowSignature, but we
use the VirtualColumnRegistry.getFullRowSignature() method to get
a signature that includes all columns, and therefore allows us to
simplify the logic (no need to special-case virtual columns).
- Add `__time` to the Scan column list if the query is ordering by time.
* Remove unused import.
* Add checkstyle for "Local variable names shouldn't start with capital"
* Adjust some local variables to constants
* Replace StringUtils.LINE_SEPARATOR with System.lineSeparator()
The main motivation is that this fixes#7724, by making it so the overlord
doesn't try to create a task runner and parser when all it really wants to
do is create a task object and serialize it.
* Upgrade various build and doc links to https.
Where it wasn't possible to upgrade build-time dependencies to https,
I kept http in place but used hardcoded checksums or GPG keys to ensure
that artifacts fetched over http are verified properly.
* Switch to https://apache.org.
* Bump Checkstyle to 8.20
Moderate severity vulnerability that affects:
com.puppycrawl.tools:checkstyle
Checkstyle prior to 8.18 loads external DTDs by default,
which can potentially lead to denial of service attacks
or the leaking of confidential information.
Affected versions: < 8.18
* Oops, missed one
* Oops, missed a few
* add postgresql meta db table schema configuration property (#7137)
If the postgresql db schema changes, you must set the configuration
values.
You do not need to set it if there is no change from the default schema
'public'.
druid.metadata.postgres.dbTableSchema=public
* create postgresql metadb table schema configuration property (#7137)
If the postgresql db schema changes, you must set the configuration
values.
You do not need to set it if there is no change from the default schema
'public'.
druid.metadata.postgres.dbTableSchema=public
check PostgreSQLTablesConfig.java
* modify postgresql readme file. - metadb table schema (#7137)
If the postgresql db schema changes, you must set the configuration
values.
You do not need to set it if there is no change from the default schema
'public'.
druid.metadata.postgres.dbTableSchema=public
check PostgreSQLTablesConfig.java
* update easymock / powermock for to 4.0.2 / 2.0.2 for JDK11 support
* update tests to use new easymock interfaces
* fix tests failing due to easymock fixes
* remove dependency on jmockit
* fix race condition in ResourcePoolTest
* now with 100% more buffer
* there can be only 1
* simplify
* javadoc
* clean up unused test method
* fix exception message
* style
* why does style hate javadocs
* review stuff
* style :(
Java 9 removed support for sun.misc.Cleaner in favor of
java.lang.ref.Cleaner. This change adds a thin abstraction to switch
between Cleaner implementations based on JDK version at runtime
* orc extension reworked to use apache orc map-reduce lib, moved to core extensions, support for flattenSpec, tests, docs
* change binary handling to be compatible with avro and parquet, Rows.objectToStrings now converts byte[] to base64, change date handling
* better docs and tests
* fix it
* formatting
* doc fix
* fix it
* exclude redundant dependencies
* use latest orc-mapreduce, add hadoop jobProperties recommendations to docs
* doc fix
* review stuff and fix binaryAsString
* cache for root level fields
* more better
* refactor lookups to be more chill to router
* remove accidental change
* fix and combine LookupIntrospectionResourceTest
* fix inspection
* rename RouterLookupModule to LookupSerdeModule and RouterLookupExtractorFactoryContainerProvider to NoopLookupExtractorFactoryContainerProvider
* make comment generic
* use ConfigResourceFilter instead of StateResourceFilter
* fix indentation
* unused import
* another unused import
* refactor some stuff into processing module, split up LookupModule.java classes into their own files
* Moved Scan Builder to Druids class and started on Scan Benchmark setup
* Need to form queries
* It runs.
* Stuff for time-ordered scan query
* Move ScanResultValue timestamp comparator to a separate class for testing
* Licensing stuff
* Change benchmark
* Remove todos
* Added TimestampComparator tests
* Change number of benchmark iterations
* Added time ordering to the scan benchmark
* Changed benchmark params
* More param changes
* Benchmark param change
* Made Jon's changes and removed TODOs
* Broke some long lines into two lines
* nit
* Decrease segment size for less memory usage
* Wrote tests for heapsort scan result values and fixed bug where iterator
wasn't returning elements in correct order
* Wrote more tests for scan result value sort
* Committing a param change to kick teamcity
* Fixed codestyle and forbidden API errors
* .
* Improved conciseness
* nit
* Created an error message for when someone tries to time order a result
set > threshold limit
* Set to spaces over tabs
* Fixing tests WIP
* Fixed failing calcite tests
* Kicking travis with change to benchmark param
* added all query types to scan benchmark
* Fixed benchmark queries
* Renamed sort function
* Added javadoc on ScanResultValueTimestampComparator
* Unused import
* Added more javadoc
* improved doc
* Removed unused import to satisfy PMD check
* Small changes
* Changes based on Gian's comments
* Fixed failing test due to null resultFormat
* Added config and get # of segments
* Set up time ordering strategy decision tree
* Refactor and pQueue works
* Cleanup
* Ordering is correct on n-way merge -> still need to batch events into
ScanResultValues
* WIP
* Sequence stuff is so dirty :(
* Fixed bug introduced by replacing deque with list
* Wrote docs
* Multi-historical setup works
* WIP
* Change so batching only occurs on broker for time-ordered scans
Restricted batching to broker for time-ordered queries and adjusted
tests
Formatting
Cleanup
* Fixed mistakes in merge
* Fixed failing tests
* Reset config
* Wrote tests and added Javadoc
* Nit-change on javadoc
* Checkstyle fix
* Improved test and appeased TeamCity
* Sorry, checkstyle
* Applied Jon's recommended changes
* Checkstyle fix
* Optimization
* Fixed tests
* Updated error message
* Added error message for UOE
* Renaming
* Finish rename
* Smarter limiting for pQueue method
* Optimized n-way merge strategy
* Rename segment limit -> segment partitions limit
* Added a bit of docs
* More comments
* Fix checkstyle and test
* Nit comment
* Fixed failing tests -> allow usage of all types of segment spec
* Fixed failing tests -> allow usage of all types of segment spec
* Revert "Fixed failing tests -> allow usage of all types of segment spec"
This reverts commit ec470288c7.
* Revert "Merge branch '6088-Time-Ordering-On-Scans-N-Way-Merge' of github.com:justinborromeo/incubator-druid into 6088-Time-Ordering-On-Scans-N-Way-Merge"
This reverts commit 57033f36df, reversing
changes made to 8f01d8dd16.
* Check type of segment spec before using for time ordering
* Fix bug in numRowsScanned
* Fix bug messing up count of rows
* Fix docs and flipped boolean in ScanQueryLimitRowIterator
* Refactor n-way merge
* Added test for n-way merge
* Refixed regression
* Checkstyle and doc update
* Modified sequence limit to accept longs and added test for long limits
* doc fix
* Implemented Clint's recommendations
* Move GCP to a core extension
* Don't provide druid-core >.<
* Keep AWS and GCP modules separate
* Move AWSModule to its own module
* Add aws ec2 extension and more modules in more places
* Fix bad imports
* Fix test jackson module
* Include AWS and GCP core in server
* Add simple empty method comment
* Update version to 15
* One more 0.13.0-->0.15.0 change
* Fix multi-binding problem
* Grep for s3-extensions and update docs
* Update extensions.md
* Fix exclusivity for start offset in kinesis indexing service
* some adjustment
* Fix SeekableStreamDataSourceMetadata
* Add missing javadocs
* Add missing comments and unit test
* fix SeekableStreamStartSequenceNumbers.plus and add comments
* remove extra exclusivePartitions in KafkaIOConfig and fix downgrade issue
* Add javadocs
* fix compilation
* fix test
* remove unused variable
* Consolidate kafka consumer configs
* change the order of adding properties
* Add consumer properties to fix test
it seems kafka consumer does not reveive any message without these configs
* Use KafkaConsumerConfigs in integration test
* Update zookeeper and kafka versions in the setup.sh for the base druid image
* use version 0.2 of base druid image
* Try to fix tests in KafkaRecordSupplierTest
* unused import
* Fix tests in KafkaSupervisorTest
* Logic adjustments to SeekableStreamIndexTaskRunner.
A mix of simplifications and bug fixes. They are intermingled because
some of the bugs were made difficult to fix, and also more likely to
happen in the first place, by how the code was structured. I tried to
keep restructuring to a minimum. The changes are:
- Remove "initialOffsetsSnapshot", which was used to determine when to
skip start offsets. Replace it with "lastReadOffsets", which I hope
is more intuitive. (There is a connection: start offsets must be
skipped if and only if they have already been read, either by a
previous task or by a previous sequence in the same task, post-restoring.)
- Remove "isStartingSequenceOffsetsExclusive", because it should always
be the opposite of isEndOffsetExclusive. The reason is that starts are
exclusive exactly when the prior ends are inclusive: they must match
up in that way for adjacent reads to link up properly.
- Don't call "seekToStartingSequence" after the initial seek. There is
no reason to, since we expect to read continuous message streams
throughout the task. And calling it makes offset-tracking logic
trickier, so better to avoid the need for trickiness. I believe the
call being here was causing a bug in Kinesis ingestion where a
message might get double-read.
- Remove the "continue" calls in the main read loop. They are bad
because they prevent keeping currOffsets and lastReadOffsets up to
date, and prevent us from detecting that we have finished reading.
- Rework "verifyInitialRecordAndSkipExclusivePartition" into
"verifyRecordInRange". It no longer has side effects. It does a sanity
check on the message offset and also makes sure that it is not past
the endOffsets.
- Rework "assignPartitions" to replace inline comparisons with
"isRecordAlreadyRead" and "isMoreToReadBeforeReadingRecord" calls. I
believe this fixes an off-by-one error with Kinesis where the last
record would not get read. It also makes the logic easier to read.
- When doing the final publish, only adjust end offsets of the final
sequence, rather than potentially adjusting any unpublished sequence.
Adjusting sequences other than the last one is a mistake since it
will extend their endOffsets beyond what they actually read. (I'm not
sure if this was an issue in practice, since I'm not sure if real
world situations would have more than one unpublished sequence.)
- Rename "isEndSequenceOffsetsExclusive" to "isEndOffsetExclusive". It's
shorter and more clear, I think.
- Add equals/hashCode/toString methods to OrderedSequenceNumber.
Kafka test changes:
- Added a Kafka "testRestoreAtEndOffset" test to verify that restores at
the very end of the task lifecycle still work properly.
Kinesis test changes:
- Renamed "testRunOnNothing" to "testRunOnSingletonRange". I think that
given Kinesis semantics, the right behavior when start offset equals
end offset (and there aren't exclusive partitions set) is to read that
single offset. This is because they are both meant to be treated as
inclusive.
- Adjusted "testRestoreAfterPersistingSequences" to expect one more
message read. I believe the old test was wrong; it expected the task
not to read message number 5.
- Adjusted "testRunContextSequenceAheadOfStartingOffsets" to use a
checkpoint starting from 1 rather than 2. I believe the old test was
wrong here too; it was expecting the task to start reading from the
checkpointed offset, but it actually should have started reading from
one past the checkpointed offset.
- Adjusted "testIncrementalHandOffReadsThroughEndOffsets" to expect
11 messages read instead of 12. It's starting at message 0 and reading
up to 10, which should be 11 messages.
* Changes from code review.
* Throw caught exception.
* Throw caught exceptions.
* Related checkstyle rule is added to prevent further bugs.
* RuntimeException() is used instead of Throwables.propagate().
* Missing import is added.
* Throwables are propogated if possible.
* Throwables are propogated if possible.
* Throwables are propogated if possible.
* Throwables are propogated if possible.
* * Checkstyle definition is improved.
* Throwables.propagate() usages are removed.
* Checkstyle pattern is changed for only scanning "Throwables.propagate(" instead of checking lookbehind.
* Throwable is kept before firing a Runtime Exception.
* Fix unused assignments.
* wip
* fix tests, stop reading if we are at end offset
* fix build
* remove restore at end offsets fix in favor of a separate PR
* use typereference from method for serialization too
* refactor sql planning to re-use expression virtual columns when possible when constructing a DruidQuery, allowing virtual columns to be defined in filter expressions, and making resulting native druid queries more concise. also minor refactor of built-in sql aggregators to maximize code re-use
* fix it
* fix it in the right place
* fixup for base64 stuff
* fixup tests
* fix merge conflict on import order
* fixup
* fix imports
* fix tests
* review comments
* refactor
* re-arrange
* better javadoc
* fixup merge
* fixup tests
* fix accidental changes
* Fix two SeekableStream serde issues.
1) Fix backwards-compatibility serde for SeekableStreamPartitions. It is needed
for split 0.13 / 0.14 clusters to work properly during a rolling update.
2) Abstract classes don't need JsonCreator constructors; remove them.
* Comment fixes.
* Added checkstyle for "Methods starting with Capital Letters" and changed the method names violating this.
* Un-abbreviate the method names in the calcite tests
* Fixed checkstyle errors
* Changed asserts position in the code
IndexTask had special-cased code to properly send a TaskToolbox to a
IngestSegmentFirehoseFactory that's nested inside a CombiningFirehoseFactory,
but ParallelIndexSubTask didn't.
This change refactors IngestSegmentFirehoseFactory so that it doesn't need a
TaskToolbox; it instead gets a CoordinatorClient and a SegmentLoaderFactory
directly injected into it.
This also refactors SegmentLoaderFactory so it doesn't depend on
an injectable SegmentLoaderConfig, since its only method always
replaces the preconfigured SegmentLoaderConfig anyway.
This makes it possible to use SegmentLoaderFactory without setting
druid.segmentCaches.locations to some dummy value.
Another goal of this PR is to make it possible for IngestSegmentFirehoseFactory
to list data segments outside of connect() --- specifically, to make it a
FiniteFirehoseFactory which can query the coordinator in order to calculate its
splits. See #7048.
This also adds missing datasource name URL-encoding to an API used by
CoordinatorBasedSegmentHandoffNotifier.
* Remove DataSegmentFinder, InsertSegmentToDb, and descriptor.json file
* delete descriptor.file when killing segments
* fix test
* Add doc for ha
* improve warning
* Support kafka transactional topics
* update kafka to version 2.0.0
* Remove the skipOffsetGaps option since it's not used anymore
* Adjust kafka consumer to use transactional semantics
* Update tests
* Remove unused import from test
* Fix compilation
* Invoke transaction api to fix a unit test
* temporary modification of travis.yml for debugging
* another attempt to get travis tasklogs
* update kafka to 2.0.1 at all places
* Remove druid-kafka-eight dependency from integration-tests, remove the kafka firehose test and deprecate kafka-eight classes
* Add deprecated in docs for kafka-eight and kafka-simple extensions
* Remove skipOffsetGaps and code changes for transaction support
* Fix indentation
* remove skipOffsetGaps from kinesis
* Add transaction api to KafkaRecordSupplierTest
* Fix indent
* Fix test
* update kafka version to 2.1.0
* Fix:
1. hadoop-common dependency for druid-hdfs and druid-kerberos extensions
Refactoring:
2. Hadoop config call in the inner static class to avoid class path conflicts for stopGracefully kill
* Fix:
1. hadoop-common test dependency
* Fix:
1. Avoid issue of kill command once the job is actually completed
* Prohibit assigning concurrent maps into Map-types variables and fields; Fix a race condition in CoordinatorRuleManager; improve logic in DirectDruidClient and ResourcePool
* Enforce that if compute(), computeIfAbsent(), computeIfPresent() or merge() is called on a ConcurrentHashMap, it's stored in a ConcurrentHashMap-typed variable, not ConcurrentMap; add comments explaining get()-before-computeIfAbsent() optimization; refactor Counters; fix a race condition in Intialization.java
* Remove unnecessary comment
* Checkstyle
* Fix getFromExtensions()
* Add a reference to the comment about guarded computeIfAbsent() optimization; IdentityHashMap optimization
* Fix UriCacheGeneratorTest
* Workaround issue with MaterializedViewQueryQueryToolChest
* Strengthen Appenderator's contract regarding concurrency
* Add published segment cache in broker
* Change the DataSegment interner so it's not based on DataSEgment's equals only and size is preserved if set
* Added a trueEquals to DataSegment class
* Use separate interner for realtime and historical segments
* Remove trueEquals as it's not used anymore, change log message
* PR comments
* PR comments
* Fix tests
* PR comments
* Few more modification to
* change the coordinator api
* removeall segments at once from MetadataSegmentView in order to serve a more consistent view of published segments
* Change the poll behaviour to avoid multiple poll execution at same time
* minor changes
* PR comments
* PR comments
* Make the segment cache in broker off by default
* Added a config to PlannerConfig
* Moved MetadataSegmentView to sql module
* Add doc for new planner config
* Update documentation
* PR comments
* some more changes
* PR comments
* fix test
* remove unintentional change, whether to synchronize on lifecycleLock is still in discussion in PR
* minor changes
* some changes to initialization
* use pollPeriodInMS
* Add boolean cachePopulated to check if first poll succeeds
* Remove poll from start()
* take the log message out of condition in stop()
* blooming aggs
* partially address review
* fix docs
* minor test refactor after rebase
* use copied bloomkfilter
* add ByteBuffer methods to BloomKFilter to allow agg to use in place, simplify some things, more tests
* add methods to BloomKFilter to get number of set bits, use in comparator, fixes
* more docs
* fix
* fix style
* simplify bloomfilter bytebuffer merge, change methods to allow passing buffer offsets
* oof, more fixes
* more sane docs example
* fix it
* do the right thing in the right place
* formatting
* fix
* avoid conflict
* typo fixes, faster comparator, docs for comparator behavior
* unused imports
* use buffer comparator instead of deserializing
* striped readwrite lock for buffer agg, null handling comparator, other review changes
* style fixes
* style
* remove sync for now
* oops
* consistency
* inspect runtime shape of selector instead of selector plus, static comparator, add inner exception on serde exception
* CardinalityBufferAggregator inspect selectors instead of selectorPluses
* fix style
* refactor away from using ColumnSelectorPlus and ColumnSelectorStrategyFactory to instead use specialized aggregators for each supported column type, other review comments
* adjustment
* fix teamcity error?
* rename nil aggs to empty, change empty agg constructor signature, add comments
* use stringutils base64 stuff to be chill with master
* add aggregate combiner, comment
* add "bloom_filter_test" druid expression to support bloom filters in ExpressionVirtualColumn and ExpressionDimFilter and sql expressions
* more docs
* use java.util.Base64, doc fixes
* * Add few methods about base64 into StringUtils
* Use `java.util.Base64` instead of others
* Add org.apache.commons.codec.binary.Base64 & com.google.common.io.BaseEncoding into druid-forbidden-apis
* Rename encodeBase64String & decodeBase64String
* Update druid-forbidden-apis
* KillTask from overlord UI now makes sure that it terminates the underlying MR job, thus saving unnecessary compute
Run in jobby is now split into 2
1. submitAndGetHadoopJobId followed by 2. run
submitAndGetHadoopJobId is responsible for submitting the job and returning the jobId as a string, run monitors this job for completion
JobHelper writes this jobId in the path provided by HadoopIndexTask which in turn is provided by the ForkingTaskRunner
HadoopIndexTask reads this path when kill task is clicked to get hte jobId and fire the kill command via the yarn api. This is taken care in the stopGracefully method which is called in SingleTaskBackgroundRunner. Have enabled `canRestore` method to return `true` for HadoopIndexTask in order for the stopGracefully method to be called
Hadoop*Job files have been changed to incorporate the changes to jobby
* Addressing PR comments
* Addressing PR comments - Fix taskDir
* Addressing PR comments - For changing the contract of Task.stopGracefully()
`SingleTaskBackgroundRunner` calls stopGracefully in stop() and then checks for canRestore condition to return the status of the task
* Addressing PR comments
1. Formatting
2. Removing `submitAndGetHadoopJobId` from `Jobby` and calling writeJobIdToFile in the job itself
* Addressing PR comments
1. POM change. Moving hadoop dependency to indexing-hadoop
* Addressing PR comments
1. stopGracefully now accepts TaskConfig as a param
Handling isRestoreOnRestart in stopGracefully for `AppenderatorDriverRealtimeIndexTask, RealtimeIndexTask, SeekableStreamIndexTask`
Changing tests to make TaskConfig param isRestoreOnRestart to true
* use SqlLifecyle to manage sql execution, add sqlId
* add sql request logger
* fix UT
* rename sqlId to sqlQueryId, sql/time to sqlQuery/time, etc
* add docs and more sql request logger impls
* add UT for http and jdbc
* fix forbidden use of com.google.common.base.Charsets
* fix UT in QuantileSqlAggregatorTest, supressed unused warning of getSqlQueryId
* do not use default method in QueryMetrics interface
* capitalize 'sql' everywhere in the non-property parts of the docs
* use RequestLogger interface to log sql query
* minor bugfixes and add switching request logger
* add filePattern configs for FileRequestLogger
* address review comments, adjust sql request log format
* fix inspection error
* try SuppressWarnings("RedundantThrows") to fix inspection error on ComposingRequestLoggerProvider
* Use multi-guava version friendly direct executor implementation
* Don't use a singleton
* Fix strict compliation complaints
* Copy Guava's DirectExecutor
* Fix javadoc
* Imports are the devil
* created seekablestream classes
* created seekablestreamsupervisor class
* first attempt to integrate kafa indexing service to use SeekableStream
* seekablestream bug fixes
* kafkarecordsupplier
* integrated kafka indexing service with seekablestream
* implemented resume/suspend and refactored some package names
* moved kinesis indexing service into core druid extensions
* merged some changes from kafka supervisor race condition
* integrated kinesis-indexing-service with seekablestream
* unite tests for kinesis-indexing-service
* various bug fixes for kinesis-indexing-service
* refactored kinesisindexingtask
* finished up more kinesis unit tests
* more bug fixes for kinesis-indexing-service
* finsihed refactoring kinesis unit tests
* removed KinesisParititons and KafkaPartitions to use SeekableStreamPartitions
* kinesis-indexing-service code cleanup and docs
* merge #6291
merge #6337
merge #6383
* added more docs and reordered methods
* fixd kinesis tests after merging master and added docs in seekablestream
* fix various things from pr comment
* improve recordsupplier and add unit tests
* migrated to aws-java-sdk-kinesis
* merge changes from master
* fix pom files and forbiddenapi checks
* checkpoint JavaType bug fix
* fix pom and stuff
* disable checkpointing in kinesis
* fix kinesis sequence number null in closed shard
* merge changes from master
* fixes for kinesis tasks
* capitalized <partitionType, sequenceType>
* removed abstract class loggers
* conform to guava api restrictions
* add docker for travis other modules test
* address comments
* improve RecordSupplier to supply records in batch
* fix strict compile issue
* add test scope for localstack dependency
* kinesis indexing task refactoring
* comments
* github comments
* minor fix
* removed unneeded readme
* fix deserialization bug
* fix various bugs
* KinesisRecordSupplier unable to catch up to earliest position in stream bug fix
* minor changes to kinesis
* implement deaggregate for kinesis
* Merge remote-tracking branch 'upstream/master' into seekablestream
* fix kinesis offset discrepancy with kafka
* kinesis record supplier disable getPosition
* pr comments
* mock for kinesis tests and remove docker dependency for unit tests
* PR comments
* avg lag in kafkasupervisor #6587
* refacotred SequenceMetadata in taskRunners
* small fix
* more small fix
* recordsupplier resource leak
* revert .travis.yml formatting
* fix style
* kinesis docs
* doc part2
* more docs
* comments
* comments*2
* revert string replace changes
* comments
* teamcity
* comments part 1
* comments part 2
* comments part 3
* merge #6754
* fix injection binding
* comments
* KinesisRegion refactor
* comments part idk lol
* can't think of a commit msg anymore
* remove possiblyResetDataSourceMetadata() for IncrementalPublishingTaskRunner
* commmmmmmmmmments
* extra error handling in KinesisRecordSupplier getRecords
* comments
* quickfix
* typo
* oof
* FileUtils: Sync directory entry too on writeAtomically.
See the fsync(2) man page for why this is important:
https://linux.die.net/man/2/fsync
This also plumbs CompressionUtils's "zip" function through
writeAtomically, so the code for handling atomic local filesystem
writes is all done in the same place.
* Remove unused import.
* Avoid FileOutputStream.
* Allow non-atomic writes to overwrite.
* Add some comments. And no need to flush an unbuffered stream.
* remove AbstractResourceFilter.isApplicable because it is not, add tests for OverlordResource.doShutdown and OverlordResource.shutdownTasksForDatasource
* cleanup
Not putting this to 0.13 milestone because the found bugs are not critical (one is a harmless DI config duplicate, and another is in a benchmark.
Change in `DumpSegment` is just an indentation change.
* Add checkstyle rules about imports and empty lines between members
* Add suppressions
* Update Eclipse import order
* Add empty line
* Fix StatsDEmitter
* use BloomFilter instead of BloomKFilter since the latters test method is not threadsafe
* fix formatting
* style and forbidden api
* remove redundant hive notice entry
* add todo with note to delete copied implementation and link to related hive jira
* better fix for masks than ThreadLocal
* move parquet-extensions from contrib to core, adds new hadoop parquet parser that does not convert to avro first and supports flattenSpec and int96 columns, add support for flattenSpec for parquet-avro conversion parser, much test with a bunch of files lifted from spark-sql
* fix avro flattener to support nullable primitives for auto discovery and now only supports primitive arrays instead of all arrays
* remove leftover print
* convert micro timestamp to millis
* checkstyle
* add ignore for .parquet and .parq to rat exclude
* fix legit test failure from avro flattern behavior change
* fix rebase
* add exclusions to pom to cut down on redundant jars
* refactor tests, add support for unwrapping lists for parquet-avro, review comments
* more comment
* fix oops
* tweak parquet-avro list handling
* more docs
* fix style
* grr styles
* Prohibit some guava collection APIs and use JDK APIs directly
* reset files that changed by accident
* sort codestyle/druid-forbidden-apis.txt alphabetically
* remove consumer.listTopics() method
* add consumerLock and exception handling for consumer.partitionFor() and remove some useless checks
* add check in case consumer.partitionsFor() returns null
* fix CI failure
* fix failed UT
* Revert "fix CI failure"
This reverts commit f839d09e1e.
* revert unless commit and re-commit the useful part to fix failed UT
* use a sha512 hash of bloom filter for cache key instead of filter bytes
* make serde private, BloomDimFilter.toString and BloomDimFilter.equals use hash instead of bloomKFilter which has no tostring or equals of its own
* keep and use HashCode object instead of converting to bytes up front
* uneeded imports oops
* tweaks from review
* refactor dupe code
* refactor
* include mysql-metadata-storage extension in distribution, but without the GPL-licensed connector library
* Install mysql connector package
* use symlinks to avoid versioning issues
* add documentation for fetching the mysql connector
* Use NodeType enum instead of Strings
* Make NodeType constants uppercase
* Fix CommonCacheNotifier and NodeType/ServerType comments
* Reconsidering comment
* Fix import
* Add a comment to CommonCacheNotifier.NODE_TYPES
* Added SystemSchema with following tables (#5989)
* SEGMENTS table provides details on served and published segments
* SERVERS table provides details on data servers
* SERVERSEGMETS table is the JOIN of SEGMENTS and SERVERS
* TASKS table provides details on tasks
* Add documentation for system schema
* Fix static-analysis warnings
* Address PR comments
*Add unit tests
* Fix a test
* Try to fix a test
* Fix a bug around replica count
* rename io.druid to org.apache.druid
* Major change is to make tasks and segment queries streaming
* Made tasks/segments stream to calcite instead of storing it in memory
* Add num_rows to segments table
* Refactor JsonParserIterator
* Replace with closeable iterator
* Fix docs, make num_rows column nullable, some unit test changes
* make num_rows column type long, allow it to be null
fix a compile error after merge, add TrafficCop param to InputStreamResponseHandler
* Filter null rows for segments table from Linq4j enumerable
* change num_replicas datatype to long in segments table
* Fix some tests and address comments
* Doc updates, other PR comments
* Update tests
* Address comments
* Add auth check
* Update docs
* Refactoring
* Fix teamcity warning, change the getQueryableServer in TimelineServerView
* Fix compilation after rebase
* Use the stream API from AuthorizationUtils
* Added LeaderClient interface and NoopDruidLeaderClient class
* Revert "Added LeaderClient interface and NoopDruidLeaderClient class"
This reverts commit 100fa46e39.
* Make the naming consistent to server_segments for the join table
* Add ForbiddenException on auth check failure
* Remove static block from SystemSchema
* Try to fix a test in CalciteQueryTest due to rename of server_segments
* Fix the json output format in the coordinator API
* Add auth check in the segments API
* Add null check to avoid NPE
* Use annonymous class object instead of mock for DruidLeaderClient in SqlBenchmark
* Fix test failures, type long/BIGINT can be nullable
* Revert long nullability to fix tests
* Fix style for tests
* PR comments
* Address PR comments
* Add the missing BytesAccumulatingResponseHandler class
* Use Sequences.withBaggage in DruidPlanner
* Fix docs, add comments
* Close the iterator if hasNext returns false
* Prevent failed KafkaConsumer creation from blocking overlord startup
* PR comments
* Fix random task ID length
* Adjust test timer
* Use Integer.SIZE
This PR accumulates many refactorings and small improvements that I did while preparing the next change set of https://github.com/druid-io/druid/projects/2. I finally decided to make them a separate PR to minimize the volume of the main PR.
Some of the changes:
- Renamed confusing "Generic Column" term to "Numeric Column" (what it actually implies) in many class names.
- Generified `ComplexMetricExtractor`
* 'suspend' and 'resume' support for kafka indexing service
changes:
* introduces `SuspendableSupervisorSpec` interface to describe supervisors which support suspend/resume functionality controlled through the `SupervisorManager`, which will gracefully shutdown the supervisor and it's tasks, update it's `SupervisorSpec` with either a suspended or running state, and update with the toggled spec. Spec updates are provided by `SuspendableSupervisorSpec.createSuspendedSpec` and `SuspendableSupervisorSpec.createRunningSpec` respectively.
* `KafkaSupervisorSpec` extends `SuspendableSupervisorSpec` and now supports suspend/resume functionality. The difference in behavior between 'running' and 'suspended' state is whether the supervisor will attempt to ensure that indexing tasks are or are not running respectively. Behavior is identical otherwise.
* `SupervisorResource` now provides `/druid/indexer/v1/supervisor/{id}/suspend` and `/druid/indexer/v1/supervisor/{id}/resume` which are used to suspend/resume suspendable supervisors
* Deprecated `/druid/indexer/v1/supervisor/{id}/shutdown` and moved it's functionality to `/druid/indexer/v1/supervisor/{id}/terminate` since 'shutdown' is ambiguous verbage for something that effectively stops a supervisor forever
* Added ability to get all supervisor specs from `/druid/indexer/v1/supervisor` by supplying the 'full' query parameter `/druid/indexer/v1/supervisor?full` which will return a list of json objects of the form `{"id":<id>, "spec":<SupervisorSpec>}`
* Updated overlord console ui to enable suspend/resume, and changed 'shutdown' to 'terminate'
* move overlord console status to own column in supervisor table so does not look like garbage
* spacing
* padding
* other kind of spacing
* fix rebase fail
* fix more better
* all supervisors now suspendable, updated materialized view supervisor to support suspend, more tests
* fix log
* Broker backpressure.
Adds a new property "druid.broker.http.maxQueuedBytes" and a new context
parameter "maxQueuedBytes". Both represent a maximum number of bytes queued
per query before exerting backpressure on the channel to the data server.
Fixes#4933.
* Fix query context doc.
* resolves#5898 by adding maxTotalRows to incremental publishing kafka index task and appenderator based realtime indexing task, as available in IndexTask
* address review comments
* changes due to review
* merge fail
* 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.
* Add PostgreSQLConnectorConfig to expose SSL configuration options for the Postgres Metadata Storage module.
* Fix checkstyle violations and add license header
* Convert properties in the postgres docs to be the full property path and fix typo
* Fix grammar in sslFactory docs
* Fix three bugs with segment publishing.
1. In AppenderatorImpl: always use a unique path if requested, even if the segment
was already pushed. This is important because if we don't do this, it causes
the issue mentioned in #6124.
2. In IndexerSQLMetadataStorageCoordinator: Fix a bug that could cause it to return
a "not published" result instead of throwing an exception, when there was one
metadata update failure, followed by some random exception. This is done by
resetting the AtomicBoolean that tracks what case we're in, each time the
callback runs.
3. In BaseAppenderatorDriver: Only kill segments if we get an affirmative false
publish result. Skip killing if we just got some exception. The reason for this
is that we want to avoid killing segments if they are in an unknown state.
Two other changes to clarify the contracts a bit and hopefully prevent future bugs:
1. Return SegmentPublishResult from TransactionalSegmentPublisher, to make it
more similar to announceHistoricalSegments.
2. Make it explicit, at multiple levels of javadocs, that a "false" publish result
must indicate that the publish _definitely_ did not happen. Unknown states must be
exceptions. This helps BaseAppenderatorDriver do the right thing.
* Remove javadoc-only import.
* Updates.
* Fix test.
* Fix tests.
* Cache: Add maxEntrySize config.
The idea is this makes it more feasible to cache query types that
can potentially generate large result sets, like groupBy and select,
without fear of writing too much to the cache per query.
Includes a refactor of cache population code in CachingQueryRunner and
CachingClusteredClient, such that they now use the same CachePopulator
interface with two implementations: one for foreground and one for
background.
The main reason for splitting the foreground / background impls is
that the foreground impl can have a more effective implementation of
maxEntrySize. It can stop retaining subvalues for the cache early.
* Add CachePopulatorStats.
* Fix whitespace.
* Fix docs.
* Fix various tests.
* Add tests.
* Fix tests.
* Better tests
* Remove conflict markers.
* Fix licenses.
* 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
Class org.apache.hadoop.conf.Configuration inside extensions should be used with caution.
By default, the configuration uses the context class loader of the current thread set to the
class loader used to load the application. Because of isolation between the application and
extensions we must explicitely set the class loader to extension class loader to be able
load classes specified in hadoop configuration file.
* Various changes about druid-services module
* Patch improvements from reviewer
* Add ToArrayCallWithZeroLengthArrayArgument & ArraysAsListWithZeroOrOneArgument into inspection profile
* Fix ArraysAsListWithZeroOrOneArgument
* Fix conflict
* Fix ToArrayCallWithZeroLengthArrayArgument
* Fix AliEqualsAvoidNull
* Remove blank line
* Remove unused import clauses
* Fix code style in TopNQueryRunnerTest
* Fix conflict
* Don't use Collections.singletonList when converting the type of array type
* Add argLine into maven-surefire-plugin in druid-process module & increase the timeout value for testMoveSegment testcase
* Roll back the latest commit
* Add java.io.File#toURL() into druid-forbidden-apis
* Using Boolean.parseBoolean instead of Boolean.valueOf for CliCoordinator#isOverlord
* Add a new regexp element into stylecode xml file
* Fix style error for new regexp
* Set the level of ArraysAsListWithZeroOrOneArgument as WARNING
* Fix style error for new regexp
* Add option BY_LEVEL for ToArrayCallWithZeroLengthArrayArgument in inspection profile
* Roll back the level as ToArrayCallWithZeroLengthArrayArgument as ERROR
* Add toArray(new Object[0]) regexp into checkstyle config file & fix them
* Set the level of ArraysAsListWithZeroOrOneArgument as ERROR & Roll back the level of ToArrayCallWithZeroLengthArrayArgument as WARNING until Youtrack fix it
* Add a comment for string equals regexp in checkstyle config
* Fix code format
* Add RedundantTypeArguments as ERROR level inspection
* Fix cannot resolve symbol datasource
* Fix NPE while handling CheckpointNotice
* fix code style
* Fix test
* fix test
* add a log for creating a new taskGroup
* fix backward compatibility in KafkaIOConfig
False failures on Travis due to spurious timeout (in turn due to noisy
neighbors) is a bigger problem than legitimate failures taking too long
to time out. So it makes sense to extend timeouts.
* Prevent KafkaSupervisor NPE in checkPendingCompletionTasks (#5900)
* throw IAE in generateSequenceName if groupId not found in taskGroups
* add null check in checkPendingCompletionTasks
* Add warn log in checkPendingCompletionTasks
* Address PR comments
Replace warn with error log
* Address PR comments
* change signature of generateSequenceName to take a TaskGroup object instead of int
* Address comments
* Remove unnecessary method from KafkaSupervisorTest
* Fix Kafka Indexing task pause forever (#5656)
* Fix Nullpointer Exception in overlord if taskGroups does not contain the groupId
* If the endOffset is same as startOffset, still let the task resume instead of returning
endOffsets early which causes the tasks to pause forever and ultimately fail on timeout
* Address PR comment
*Remove the null check and do not return null from generateSequenceName
* Add the new tasks api in overlordResource
It takes 4 optional query params
* state(pending/running/waiting/compelte)
* dataSource
* interval (applies to completed tasks)
* maxCompletedTasks (applies to completed tasks)
If all params are null, the api returns all the tasks
* Add the state to each task returned by tasks endpoint
* divide active tasks into waiting, pending or running
* Add more unit tests
* Add UNKNOWN state to TaskState
* Fix the authorization calls
* WIP: PR comments
Added new class to capture task info for caching
Other refactoring
* Refactoring : move TaskStatus class to druid-api
so it can be accessed within server
And other related classes like TaskState and TaskStatusPlus are in api
* Remove unused class and apis accessing it
* Add a separate cache for recently completed tasks
This is to mainly capture the task type from payload
* Ignore a test
* Add a RuntimeTaskState to encompass all states a task can be in
* Revert "Add a RuntimeTaskState to encompass all states a task can be in"
This reverts commit 2a527a0731.
* Fix wrong api call
* Fix and unignore tests
* Remove waiting,pending state from TaskState
* Add RunnerTaskState
* Missed the annotation runnerStatusCode
* Fix the creationTime
* Fix the createdTime and queueInsertionTime for running/active tasks
* Clean up tests
* Add javadocs
* Potentially fix the teamcity build
* Address PR comments
*Get rid of TaskInfoBuilder
*Make TaskInfoMapper static nested class
*Other changes
* fix import in MaterializedViewSupervisor after merge
* Address PR comments on
* Replace global cache with local map
* combine multiple queries into one
* Removed unused code
* Fix unit tests
Fix a bug in securedTaskStatusPlus
* Remove getRecentlyFinishedTaskStatuses method
Change TaskInfoMapper signature to add generic type
* Address PR comments
* Passed datasource as argument to be used in sql query
* Other minor fixes
* Address PR comments
*Some minor changes, rename method, spacing changes
* Add early auth check if datasource is not null
* Fix test case
* Add max limit to getRecentlyFinishedTaskInfo in HeapMemoryTaskStorage
* Add TaskLocation to Anytask object
* Address PR comments
* Fix a bug in test case causing ClassCastException
It seems that copy-before-close works OK on HDFS, but it doesn't work
on all filesystems. In particular, we observed this not working properly
with Google Cloud Storage. And anyway, it's better hygiene to close files
before attempting to copy them somewhere else.
* Adding decoration method to proxy servlet
Change-Id: I872f9282fb60bfa20524271535980a36a87b9621
* moving the proxy request decoration to authenticators
Change-Id: I7f94b9ff5ecf08e8abf7169b58bc410f33148448
* added docs
Change-Id: I901543e52f0faf4666bfea6256a7c05593b1ae70
* use the authentication result to decorate request
Change-Id: I052650de9cd02b4faefdbcdaf2332dd3b2966af5
* adding authenticated by name
Change-Id: I074d2933460165feeddb19352eac9bd0f96f42ca
* ensure that authenticator is not null
Change-Id: Idb58e308f90db88224a06f3759114872165b24f5
* fix types and minor bug
Change-Id: I6801d49a05d5d8324406fc0280286954eb66db10
* fix typo
Change-Id: I390b12af74f44d760d0812a519125fbf0df4e97b
* use actual type names
Change-Id: I62c3ee763363781e52809ec912aafd50b8486b8e
* set authenitcatedBy to null for AutheticationResults created by
Escalator.
Change-Id: I4a675c372f59ebd8a8d19c61b85a1e4bf227a8ba
* 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
* 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
* 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.
* 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
* 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
* Add support for task reports, upload reports to deep storage
* PR comments
* Better name for method
* Fix report file upload
* Use TaskReportFileWriter
* Checkstyle
* More PR comments
* 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
* Future-proof some Guava usage
* Use a java-util EmptyIterator instead of Guava's
* Change some of the guava future handling to do manual async
transforms. Guava changes transform into transformAsync by deprecating
transform in ONLY Guava 19. Then its gone in 20
* Use `Collections.emptyIterator()`
* Pretty formatting
* Make listenable future transforms a thing in default druid
* Format fix
* Add forbidden guava apis
* Make the ListenableFutrues.transformAsync have comments
* Undo intellij bad pattern matching in comments
* Futrues --> Futures
* Add empty iterators forbidding
* Fix extra `A`
* Correct method signature
* Address review comments
* Finish Gian review comments
* Proper syntax from https://github.com/policeman-tools/forbidden-apis/wiki/SignaturesSyntax
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