Similar to other bugs fixed in #6220, but this one was missed. This bug would
cause "extraction" dimensionSpecs on the "__time" column with non-STRING
outputTypes to potentially be output as STRING sometimes instead of LONG,
causing incompletely merged results.
For selectors with internal caches (like SingleScanTimeDimensionSelector,
SingleLongInputCachingExpressionColumnValueSelector, etc) we can get a perf
boost and memory usage decrease by sharing selectors.
* 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
* Moved Scan Builder to Druids class and started on Scan Benchmark setup
* Need to form queries
* It runs.
* Remove todos
* Change number of benchmark iterations
* Changed benchmark params
* More param changes
* Made Jon's changes and removed TODOs
* Broke some long lines into two lines
* Decrease segment size for less memory usage
* Committing a param change to kick teamcity
* 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
* fix issue with SingleLongInputCachingExpressionColumnValueSelector when sql compatible null handling enabled
* add test with doubles to show same behavior for floats/doubles that lack the optimization of longs
* simplify
* fix import
* 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 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
* Replacing Math.random() with ThreadLocalRandom.current().nextDouble()
* Added java.lang.Math#random() in forbidden-apis.txt
* Minor change in the message - druid-forbidden-apis.txt
* 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
* make logs that are only useful for debugging be at debug level so log volume is much more chill
* info level messages for total merge buffer allocated/free
* more chill compaction logs
* 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.
* Double-checked locking bug is fixed.
* @Nullable is removed since there is no need to use along with @MonotonicNonNull.
* Static import is removed.
* Lazy initialization is implemented.
* Local variables used instead of volatile ones.
* Local variables used instead of volatile ones.
* Fix travis timeout in BufferHashGrouperTest
* adjust buffer size
* adjust bufferSize and loadFactor
* increase memory
* add debug code
* cat error
* after script
* print logs
* print per 2 min
* use direct mem
* clean up
* autosize processing buffers based on direct memory sizing
* remove oops, more test
* max 1gb autosize buffers, test, start of docs
* fix oops
* revert accidental change
* print buffer size in exception
* change the things
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
* Expressions: Fix improper supplier reuse with missing columns.
ExpressionSelectors has an optimization that skips building a Map
when there is only one input supplier. However, this optimization
should not be used in the case where the is one input supplier but
more than one input identifier (which can happen when only one
input identifier corresponds to an actual column).
Fixes#6556.
* Add underscores to statics.
* Optimization for expressions that hit a single long column.
There was previously a single-long-input optimization that applied only
to the time column. These have been combined together. Also adds
type-specific value caching to ExprEval, which allowed simplifying
the SingleLongInputCachingExpressionColumnValueSelector code.
* Add more benchmarks.
* Don't use LRU cache for __time.
* Simplify a bit.
* Let the cache grow.
* Prohibit some guava collection APIs and use JDK APIs directly
* reset files that changed by accident
* sort codestyle/druid-forbidden-apis.txt alphabetically
* add PrefixFilteredDimensionSpec for multi-value dimensions
* add docs for PrefixFilteredDimensionSpec
* remove unnecessary null handling
* add null check to the result of NullHandling
* Add optional `name` to top level of FilteredAggregatorFactory
* Add compat constructor for tests
* Address comments
* Add equals and hash code updates
* Rename test
* Fix imports and code style
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`
* Added backpressure metric
* Updated channelReadable to AtomicBoolean and fixed broken test
* Moved backpressure metric logic to NettyHttpClient
* Fix placement of calculating backPressureDuration
Possibly related to https://github.com/apache/incubator-druid/issues/4937
--------
There is currently a race condition in IncrementalIndexStorageAdapter that can lead to exceptions like the following, when running queries with filters on String dimensions that hit realtime tasks:
```
org.apache.druid.java.util.common.ISE: id[5] >= maxId[5]
at org.apache.druid.segment.StringDimensionIndexer$1IndexerDimensionSelector.lookupName(StringDimensionIndexer.java:591)
at org.apache.druid.segment.StringDimensionIndexer$1IndexerDimensionSelector$2.matches(StringDimensionIndexer.java:562)
at org.apache.druid.segment.incremental.IncrementalIndexStorageAdapter$IncrementalIndexCursor.advance(IncrementalIndexStorageAdapter.java:284)
```
When the `filterMatcher` is created in the constructor of `IncrementalIndexStorageAdapter.IncrementalIndexCursor`, `StringDimensionIndexer.makeDimensionSelector` gets called eventually, which calls:
```
final int maxId = getCardinality();
...
@Override
public int getCardinality()
{
return dimLookup.size();
}
```
So `maxId` is set to the size of the dictionary at the time that the `filterMatcher` is created.
However, the `maxRowIndex` which is meant to prevent the Cursor from returning rows that were added after the Cursor was created (see https://github.com/apache/incubator-druid/pull/4049) is set after the `filterMatcher` is created.
If rows with new dictionary values are added after the `filterMatcher` is created but before `maxRowIndex` is set, then it is possible for the Cursor to return rows that contain the new values, which will have `id >= maxId`.
This PR sets `maxRowIndex` before creating the `filterMatcher` to prevent rows with unknown dictionary IDs from being passed to the `filterMatcher`.
-----------
The included test triggers the error with a custom Filter + DruidPredicateFactory.
The DimensionSelector for predicate-based filter matching is created here in `Filters.makeValueMatcher`:
```
public static ValueMatcher makeValueMatcher(
final ColumnSelectorFactory columnSelectorFactory,
final String columnName,
final DruidPredicateFactory predicateFactory
)
{
final ColumnCapabilities capabilities = columnSelectorFactory.getColumnCapabilities(columnName);
// This should be folded into the ValueMatcherColumnSelectorStrategy once that can handle LONG typed columns.
if (capabilities != null && capabilities.getType() == ValueType.LONG) {
return getLongPredicateMatcher(
columnSelectorFactory.makeColumnValueSelector(columnName),
predicateFactory.makeLongPredicate()
);
}
final ColumnSelectorPlus<ValueMatcherColumnSelectorStrategy> selector =
DimensionHandlerUtils.createColumnSelectorPlus(
ValueMatcherColumnSelectorStrategyFactory.instance(),
DefaultDimensionSpec.of(columnName),
columnSelectorFactory
);
return selector.getColumnSelectorStrategy().makeValueMatcher(selector.getSelector(), predicateFactory);
}
```
The test Filter adds a row to the IncrementalIndex in the test when the predicateFactory creates a new String predicate, after `DimensionHandlerUtils.createColumnSelectorPlus` is called.
* 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.
* make COMPLEX column filterable in Druid code
* Revert "make COMPLEX column filterable in Druid code"
This reverts commit 9fc6ec768c.
* complex columns can be optionally made filterable
* some types are always filterable
* add ColumnCapabilitiesImpl serde tests
* add SuppresedWarnings annotation
* 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 subtotalsSpec attribute to groupBy query
* dont sent subtotalsSpec to downstream nodes from broker and other updates
* address review comment
* fix checkstyle issues after merge to master
* add docs for subtotalsSpec feature
* address doc review comments
The bug was caused by makeExprEvalSelector returning a null object, which
it isn't supposed to do. Fixed this by renaming ConstantColumnValueSelector
to ConstantExprEvalSelector (it was only used for ExprEval anyway) and
putting logic in that class to make sure the selectors behave as expected.
* Fix all inspection errors currently reported.
TeamCity builds on master are reporting inspection errors, possibly
because there was a while where it was not running due to the Apache
migration, and there was some drift.
* Fix one more location.
* Fix tests.
* Another fix.
* Fix four bugs with numeric dimension output types.
This patch includes the following bug fixes:
- TopNColumnSelectorStrategyFactory: Cast dimension values to the output type
during dimExtractionScanAndAggregate instead of updateDimExtractionResults.
This fixes a bug where, for example, grouping on doubles-cast-to-longs would
fail to merge two doubles that should have been combined into the same long value.
- TopNQueryEngine: Use DimExtractionTopNAlgorithm when treating string columns
as numeric dimensions. This fixes a similar bug: grouping on string-cast-to-long
would fail to merge two strings that should have been combined.
- GroupByQuery: Cast numeric types to the expected output type before comparing them
in compareDimsForLimitPushDown. This fixes#6123.
- GroupByQueryQueryToolChest: Convert Jackson-deserialized dimension values into
the proper output type. This fixes an inconsistency between results that came
from cache vs. not-cache: for example, Jackson sometimes deserializes integers
as Integers and sometimes as Longs.
And the following code-cleanup changes, related to the fixes above:
- DimensionHandlerUtils: Introduce convertObjectToType, compareObjectsAsType,
and converterFromTypeToType to make it easier to handle casting operations.
- TopN in general: Rename various "dimName" variables to "dimValue" where they
actually represent dimension values. The old names were confusing.
* Remove unused imports.
* 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.
* order using IncrementalIndexRowComparator at persist time when rollup is disabled, allowing increased effectiveness of dimension compression, resolves#6066
* fix stuff from review
* Optimize per-segment queries
* Always optimize, add unit test
* PR comments
* Only run IntervalDimFilter optimization on __time column
* PR comments
* Checkstyle fix
* Add test for non __time column
* Add lastString and firstString aggregators extension
* Remove duplicated class
* Move first-last-string doc page to extensions-contrib
* Fix ObjectStrategy compare method
* Fix doc bad aggregatos type name
* Create FoldingAggregatorFactory classes to fix SegmentMetadataQuery
* Add getMaxStringBytes() method to support JSON serialization
* Fix null pointer exception at segment creation phase when the string value is null
* Control the valueSelector object class on BufferAggregators
* Perform all improvements
* Add java doc on SerializablePairLongStringSerde
* Refactor ObjectStraty compare method
* Remove unused ;
* Add aggregateCombiner unit tests. Rename BufferAggregators unit tests
* Remove unused imports
* Add license header
* Add class name to java doc class serde
* Throw exception if value is unsupported class type
* Move first-last-string extension into druid core
* Update druid core docs
* Fix null pointer exception when pair->string is null
* Add null control unit tests
* Remove unused imports
* Add first/last string folding aggregator on AggregatorsModule to support segment metadata query
* Change SerializablePairLongString to extend SerializablePair
* Change vars from public to private
* Convert vars to primitive type
* Clarify compare comment
* Change IllegalStateException to ISE
* Remove TODO comments
* Control possible null pointer exception
* Add @Nullable annotation
* Remove empty line
* Remove unused parameter type
* Improve AggregatorCombiner javadocs
* Add filterNullValues option at StringLast and StringFirst aggregators
* Add filterNullValues option at agg documentation
* Fix checkstyle
* Update header license
* Fix StringFirstAggregatorFactory.VALUE_COMPARATOR
* Fix StringFirstAggregatorCombiner
* Fix if condition at StringFirstAggregateCombiner
* Remove filterNullValues from string first/last aggregators
* Add isReset flag in FirstAggregatorCombiner
* Change Arrays.asList to Collections.singletonList
* Fix 'auto' encoded longs + compression serializer
Fixes#6044
changes:
* Fixes `VSizeLongSerde` serializers to treat 'close' as 'flush' when used with `BlockLayoutColumnarLongsSerializer`, allowing unwritten values to be flushed to the buffer when the block is compressed
* Add exhaustive unit test that flexes a variety of value sizes, row counts, and compression strategies to catch issues such as these
:
* refactor LongSerializer close to be named flush instead
* revert and just make new serializers per block
* 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
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.
* Lazy-ify ValueMatcher BitSet optimization for string dimensions.
The idea is that if the prior evaluated filters are decently selective,
such that they mean we won't see all possible values of the later
filters, then the eager version of the optimization is too wasteful.
This involves checking an extra bitset, but the overhead is small even
if the lazy-ification is useless.
* Remove import.
* Minor transformation
* fixes#5814
changes:
* pass `StorageAdapter` to topn algorithms to get things like if column is 'sorted' or if query interval is smaller than segment granularity, instead of using `io.druid.segment.Capabilities`
* remove `io.druid.segment.Capabilities` since it had one purpose, supplying `dimensionValuesSorted` which is now provided directly by `StorageAdapter`.
* added test for topn optimization path checking
* add Capabilities back since StorageAdapter is marked PublicApi
* oops
* add javadoc, fix build i think
* correctly revert api changes
* fix intellij fail
* fix typo :(
* Revert "Consider waiting and pending compaction tasks as well as running tasks in DruidCoordinatorSegmentCompactor (#5704)"
This reverts commit c7a59394e0.
* Revert "Fix metrics for inserting segments (#5749)"
This reverts commit c9d645103b.
* Revert "Typo fix in historical doc (#5753)"
This reverts commit aa23fe6386.
* Revert "Use a bimap for reverse lookups on injective maps (#5681)"
This reverts commit e1277d306c.
* The check for maxBytesInMemory should be >= 0 instead of > 0
* if the default value is 0, the actual check could be skipped
* fix the message for persistReasons
* Address PR comments
* if maxBytes set -1, make is Long.MAX_VAL, so we do not need to check if it's 0 or -1
* set the maxBytesTuningconfig in AppenderatorImpl constructor to avoid duplicate code
* fix the failing test cases
* Address PR comments
* 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
* Use mergeBuffer instead of processingBuffer in parallelCombiner
* Fix test
* address comments
* fix test
* Fix test
* Update comment
* address comments
* fix build
* Fix test failure
* 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
* 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
* Fix round robining in router.
Say that ten times fast.
For query endpoints, AsyncQueryForwardingServlet called hostFinder.getDefaultServer()
to set a default server, followed by hostFinder.getServer(inputQuery) to override it
with query-specific routing. Since hostFinder is round-robin, this skips a server.
When there are only two servers, one server is _always_ skipped and the router sends
all queries to the same broker.
* Adjust spacing.
* SegmentMetadataQuery: Fix default interval handling.
PR #4131 introduced a new copy builder for segmentMetadata that did
not retain the value of usingDefaultInterval. This led to it being
dropped and the default-interval handling not working as expected.
Instead of using the default 1 week history when intervals are not
provided, the segmentMetadata query would query _all_ segments,
incurring an unexpected performance hit.
This patch fixes the bug and adds a test for the copy builder.
* Intervals
* Support for disabling bitmap indexes.
Can save space for columns where bitmap indexes are pointless (like
free-form text).
* Remove import.
* Fix CompactionTaskTest.
* Update for review comments.
* Review comments, tests.
* Fix test.
Gian Merlino
Jihoon Son
Jonathan Wei
Clint Wylie
Himanshu Pandey
Justin Borromeo
Edward Gan
Roman Leventov
Furkan KAMACI
Benedict Jin
Dayue Gao
Charles Allen
Richard Startin
dongyifeng
Atul Mohan
Mingming Qiu
David Lim
Samarth Jain
robertervin
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