* Guicify druid sql module
Break up the SQLModule in to smaller modules and provide a binding that
modules can use to register schemas with druid sql.
* fix some tests
* address code review
* tests compile
* Working tests
* Add all the tests
* fix up licenses and dependencies
* add calcite dependency to druid-benchmarks
* tests pass
* rename the schemas
* SQL join support for lookups.
1) Add LookupSchema to SQL, so lookups show up in the catalog.
2) Add join-related rels and rules to SQL, allowing joins to be planned into
native Druid queries.
* Add two missing LookupSchema calls in tests.
* Fix tests.
* Fix typo.
* intelliJ inspections cleanup
- remove redundant escapes
- performance warnings
- access static member via instance reference
- static method declared final
- inner class may be static
Most of these changes are aesthetic, however, they will allow inspections to
be enabled as part of CI checks going forward
The valuable changes in this delta are:
- using StringBuilder instead of string addition in a loop
indexing-hadoop/.../Utils.java
processing/.../ByteBufferMinMaxOffsetHeap.java
- Use class variables instead of static variables for parameterized test
processing/src/.../ScanQueryLimitRowIteratorTest.java
* Add intelliJ inspection warnings as errors to druid profile
* one more static inner class
* Parallel indexing single dim partitions
Implements single dimension range partitioning for native parallel batch
indexing as described in #8769. This initial version requires the
druid-datasketches extension to be loaded.
The algorithm has 5 phases that are orchestrated by the supervisor in
`ParallelIndexSupervisorTask#runRangePartitionMultiPhaseParallel()`.
These phases and the main classes involved are described below:
1) In parallel, determine the distribution of dimension values for each
input source split.
`PartialDimensionDistributionTask` uses `StringSketch` to generate
the approximate distribution of dimension values for each input
source split. If the rows are ungrouped,
`PartialDimensionDistributionTask.UngroupedRowDimensionValueFilter`
uses a Bloom filter to skip rows that would be grouped. The final
distribution is sent back to the supervisor via
`DimensionDistributionReport`.
2) The range partitions are determined.
In `ParallelIndexSupervisorTask#determineAllRangePartitions()`, the
supervisor uses `StringSketchMerger` to merge the individual
`StringSketch`es created in the preceding phase. The merged sketch is
then used to create the range partitions.
3) In parallel, generate partial range-partitioned segments.
`PartialRangeSegmentGenerateTask` uses the range partitions
determined in the preceding phase and
`RangePartitionCachingLocalSegmentAllocator` to generate
`SingleDimensionShardSpec`s. The partition information is sent back
to the supervisor via `GeneratedGenericPartitionsReport`.
4) The partial range segments are grouped.
In `ParallelIndexSupervisorTask#groupGenericPartitionLocationsPerPartition()`,
the supervisor creates the `PartialGenericSegmentMergeIOConfig`s
necessary for the next phase.
5) In parallel, merge partial range-partitioned segments.
`PartialGenericSegmentMergeTask` uses `GenericPartitionLocation` to
retrieve the partial range-partitioned segments generated earlier and
then merges and publishes them.
* Fix dependencies & forbidden apis
* Fixes for integration test
* Address review comments
* Fix docs, strict compile, sketch check, rollup check
* Fix first shard spec, partition serde, single subtask
* Fix first partition check in test
* Misc rewording/refactoring to address code review
* Fix doc link
* Split batch index integration test
* Do not run parallel-batch-index twice
* Adjust last partition
* Split ITParallelIndexTest to reduce runtime
* Rename test class
* Allow null values in range partitions
* Indicate which phase failed
* Improve asserts in tests
* IndexerSQLMetadataStorageCoordinator.getTimelineForIntervalsWithHandle() don't fetch abutting intervals; simplify getUsedSegmentsForIntervals()
* Add VersionedIntervalTimeline.findNonOvershadowedObjectsInInterval() method; Propagate the decision about whether only visible segmetns or visible and overshadowed segments should be returned from IndexerMetadataStorageCoordinator's methods to the user logic; Rename SegmentListUsedAction to RetrieveUsedSegmentsAction, SegmetnListUnusedAction to RetrieveUnusedSegmentsAction, and UsedSegmentLister to UsedSegmentsRetriever
* Fix tests
* More fixes
* Add javadoc notes about returning Collection instead of Set. Add JacksonUtils.readValue() to reduce boilerplate code
* Fix KinesisIndexTaskTest, factor out common parts from KinesisIndexTaskTest and KafkaIndexTaskTest into SeekableStreamIndexTaskTestBase
* More test fixes
* More test fixes
* Add a comment to VersionedIntervalTimelineTestBase
* Fix tests
* Set DataSegment.size(0) in more tests
* Specify DataSegment.size(0) in more places in tests
* Fix more tests
* Fix DruidSchemaTest
* Set DataSegment's size in more tests and benchmarks
* Fix HdfsDataSegmentPusherTest
* Doc changes addressing comments
* Extended doc for visibility
* Typo
* Typo 2
* Address comment
* remove select query
* thanks teamcity
* oops
* oops
* add back a SelectQuery class that throws RuntimeExceptions linking to docs
* adjust text
* update docs per review
* deprecated
* Fix dependency analyze warnings
Update the maven dependency plugin to the latest version and fix all
warnings for unused declared and used undeclared dependencies in the
compile scope. Added new travis job to add the check to CI. Also fixed
some source code files to use the correct packages for their imports and
updated druid-forbidden-apis to prevent regressions.
* Address review comments
* Adjust scope for org.glassfish.jaxb:jaxb-runtime
* Fix dependencies for hdfs-storage
* Consolidate netty4 versions
* check ctyle for constant field name
* check ctyle for constant field name
* check ctyle for constant field name
* check ctyle for constant field name
* check ctyle for constant field name
* check ctyle for constant field name
* check ctyle for constant field name
* check ctyle for constant field name
* check ctyle for constant field name
* merging with upstream
* review-1
* unknow changes
* unknow changes
* review-2
* merging with master
* review-2 1 changes
* review changes-2 2
* bug fix
* GroupBy array-based result rows.
Fixes#8118; see that proposal for details.
Other than the GroupBy changes, the main other "interesting" classes are:
- ResultRow: The array-based result type.
- BaseQuery: T is no longer required to be Comparable.
- QueryToolChest: Adds "decorateObjectMapper" to enable query-aware serialization
and deserialization of result rows (necessary due to their positional nature).
- QueryResource: Uses the new decoration functionality.
- DirectDruidClient: Also uses the new decoration functionality.
- QueryMaker (in Druid SQL): Modifications to read ResultRows.
These classes weren't changed, but got some new javadocs:
- BySegmentQueryRunner
- FinalizeResultsQueryRunner
- Query
* Adjustments for TC stuff.
* Fix dependency analyze warnings
Update the maven dependency plugin to the latest version and fix all
warnings for unused declared and used undeclared dependencies in the
compile scope. Added new travis job to add the check to CI. Also fixed
some source code files to use the correct packages for their imports.
* Fix licenses and dependencies
* Fix licenses and dependencies again
* Fix integration test dependency
* Address review comments
* Fix unit test dependencies
* Fix integration test dependency
* Fix integration test dependency again
* Fix integration test dependency third time
* Fix integration test dependency fourth time
* Fix compile error
* Fix assert package
* 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.
* 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
* 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.
* 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
* 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
* 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
* * 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
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
* Prohibit some guava collection APIs and use JDK APIs directly
* reset files that changed by accident
* sort codestyle/druid-forbidden-apis.txt alphabetically
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`
* 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.
* 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
* 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
* numeric quantiles sketch aggregator
* it seems that we need to synchronize all methods, which modify the state
* Seems like a false positive with -Pstrict
* code style fix
* code style fix
* use sketches-core-0.10.3
* moved cache ids to the central place
* better class names
* support large columns
* explained autodetection, added exception
* added comments regarding sketches moving on heap
* support reindexing
* implemented suggestions from jihoonson
* style fix
* use max(k, other.k) for better accuracy
* check for NilColumnValueSelector instead of null
* throw exceptions instead of providing no-op comparators
* Added org.joda.time.DateTime#(java.lang.String) to forbidden API.
* Added org.joda.time.DateTime#(java.lang.String, org.joda.time.format.DateTimeFormatter) to forbidden API.
* Add additional APIs that may create DateTime with default time zone
* Add helper function that accepts formatter to parse String.
* Add additional forbidden APIs
* Replace existing usage of forbidden APIs
* Use wrapper class to enforce Chronology on DateTimeFormatter.
* Creates constant UtcFormatter for constant ISODateTimeFormat.
* Add some new expression functions and macros.
See misc/math-expr.md for the list of added functions, except for
"like", which previously existed but was not documented.
* Add easymock to datasketches tests.
* Add easymock to distinctcount tests.
* Add easymock to virtual-columns tests.
* Code review comments.
* Clean up code a bit.
* Add easymock to scan-query tests.
* Rework ExprMacros that have multiple impls.
* Improve test coverage.
The tests go from 5 minutes to about 10 seconds. 1000 maxRowCount is still
low enough to get a few merges, so we're still exercising that functionality.
* Make using implicit system charset an error
* Use StringUtils.toUtf8() and fromUtf8() instead of String.getBytes() and new String()
* Use English locale in StringUtils.safeFormat()
* Restore comment
* Monomorphic processing of topN queries with simple double aggregators and historical segments
* Add CalledFromHotLoop annocations to specialized methods in SimpleDoubleBufferAggregator
* Fix a bug in Historical1SimpleDoubleAggPooledTopNScannerPrototype
* Fix a bug in SpecializationService
* In SpecializationService, emit maxSpecializations warning only once
* Make GenericIndexed.theBuffer final
* Address comments
* Newline
* Reapply 439c906 (Make GenericIndexed.theBuffer final)
* Remove extra PooledTopNAlgorithm.capabilities field
* Improve CachingIndexed.inspectRuntimeShape()
* Fix CompressedVSizeIntsIndexedSupplier.inspectRuntimeShape()
* Don't override inspectRuntimeShape() in subclasses of CompressedVSizeIndexedInts
* Annotate methods in specializations of DimensionSelector and FloatColumnSelector with @CalledFromHotLoop
* Make ValueMatcher to implement HotLoopCallee
* Doc fix
* Fix inspectRuntimeShape() impl in ExpressionSelectors
* INFO logging of specialization events
* Remove modificator
* Fix OrFilter
* Fix AndFilter
* Refactor PooledTopNAlgorithm.scanAndAggregate()
* Small refactoring
* Add 'nothing to inspect' messages in empty HotLoopCallee.inspectRuntimeShape() implementations
* Don't care about runtime shape in tests
* Fix accessor bugs in Historical1SimpleDoubleAggPooledTopNScannerPrototype and HistoricalSingleValueDimSelector1SimpleDoubleAggPooledTopNScannerPrototype, cover them with tests
* Doc wording
* Address comments
* Remove MagicAccessorBridge and ensure Offset subclasses are public
* Attach error message to element
* Make Errorprone the default compiler
* Address comments
* Make Error Prone's ClassCanBeStatic rule a error
* Preconditions allow only %s pattern
* Fix DruidCoordinatorBalancerTester
* Try to give the compiler more memory
* Remove distribution module activation on jdk 1.8 because only jdk 1.8 is used now
* Don't show compiler warnings
* Try different travis script
* Fix travis.yml
* Make Error Prone optional again
* For error-prone compiler
* Increase compiler's maxmem
* Don't run Error Prone for benchmarks because of OOM
* Skip install step in Travis
* Remove MetricHolder.writeToChannel()
* In travis.yml, check compilation before tests, because it may fail faster
* Monomorphic processing: add HotLoopCallee, CalledFromHotLoop, RuntimeShapeInspector, SpecializationService. Specialize topN queries with 1 or 2 aggregators. Add Cursor.advanceUninterruptibly() and isDoneOrInterrupted() for exception-free query processing.
* Use Execs.singleThreaded()
* RuntimeShapeInspector to support nullable fields
* Make CalledFromHotLoop annotation Inherited
* Remove unnecessary conversion of array of ColumnSelectorPluses to list and back to array in CardinalityAggregatorFactory
* Close InputStream in SpecializationService
* Formatting
* Test specialized PooledTopNScanners
* Set flags in PooledTopNAlgorithm directly
* Fix tests, dependent on CountAggragatorFactory toString() form
* Fix
* Revert CountAggregatorFactory changes
* Implement inspectRuntimeShape() for LongWrappingDimensionSelector and FloatWrappingDimensionSelector
* Remove duplicate RoaringBitmap dependency in the extendedset pom.xml
* Fix
* Treat ByteBuffers specially in StringRuntimeShape
* Doc fix
* Annotate BufferAggregator.init() with CalledFromHotLoop
* Make triggerSpecializationIterationsThreshold an int
* Remove SpecializationService.PerPrototypeClassState.of()
* Add comments
* Limit the amount of specializations that SpecializationService could make
* Add default implementation for BufferAggregator.inspectRuntimeShape(), for compatibility with extensions
* Use more efficient ConcurrentMap's idioms in SpecializationService
* No more singleton. Reduce iterations
* Granularities
* Fix the delay in the test
* Add license header
* Remove unused imports
* Lot more unused imports from all the rearranging
* CR feedback
* Move javadoc to constructor
* Refactor Segment Granularity
* Beginning of one granularity
* Copy the fix for custom periods in segment-grunalrity over here.
* Remove the custom serialization for now.
* Compilation cleanup
* Reformat code
* Fixing unit tests
* Unify to use a single iterable
* Backward compatibility for rolling upgrade
* Minor check style. Cosmetic changes.
* Rename length and millis to duration
* CR feedback
* Minor changes.
* initial commits for finalizeFieldAccess #2433
* fix some bugs to run a query
* change name of method Queries.verifyAggregations to Queries.prepareAggregations
* add Uts
* fix Ut failures
* rebased to master
* address comments and add a Ut for arithmetic post aggregators
* rebased to the master
* address the comment of injection within arithmetic post aggregator
* address comments and introduce decorate() in the PostAggregator interface.
* Address comments. 1. Implements getComparator in FinalizingFieldAccessPostAggregator and add Uts for it 2. Some minor changes like renaming a method name.
* Fix a code style mismatch.
* Rebased to the master
* Require Java 8 and include some Java 8 dependencies.
- Upgrade Jetty to 9.3.16.v20170120.
- Upgrade DataSketches to 0.8.4.
- Bundle caffeine-cache by default.
- Still target Java 7 when compiling base Druid classes.
* Update cluster, quickstart docs.
* Remove oraclejdk7 from travis.yml.
* Add PostAggregators to generator cache keys for top-n queries
* Add tests for strings
* Remove debug comments
* Add type keys and list sizes to cache key
* Make post aggregators used for sort are considered for cache key generation
* Use assertArrayEquals()
* Improve findPostAggregatorsForSort()
* Address comments
* fix test failure
* address comments
This also involved some other test changes:
- Added a factory.mergeRunners step to AggregationTestHelper's groupBy chain, since the v2
engine does merging there.
- Changed test byteBuffer pools from on-heap to off-heap to work around
https://github.com/DataSketches/sketches-core/pull/116 for datasketches tests.
* Add time interval dim filter and retention analysis example
* Use closed-open matching for intervals, update cache key generation
* Fix time filtering tests for interval boundary change
Suneet Saldanha
Gian Merlino
Atul Mohan
Clint Wylie
Jonathan Wei
Chi Cao Minh
jon-wei
Alexander Saydakov
Roman Leventov
SandishKumarHN
Jihoon Son
Fokko Driesprong
Chi Cao Minh
Xue Yu
Gian Merlino
Merlin Lee
es1220
Alexander Saydakov
Clint Wylie
Himanshu Pandey
Benedict Jin
Alexander Saydakov
David Lim
QiuMM
David Lim
Benedict Jin
Nishant Bangarwa
Senthil Kumar L S
Kirill Kozlov
Goh Wei Xiang
Slim
Akash Dwivedi
Bas van Schaik
Roman Leventov
praveev
Himanshu
Alexander Saydakov
Charles Allen