Also change defaults:
- bufferGrouperMaxLoadFactor from 0.75 to 0.7.
- maxMergingDictionarySize to 100MB from 25MB, should be more appropriate
for most heaps.
Follow-up to #1773, which meant to add more useful query errors but
did not actually do so. Since that patch, any error other than
interrupt/cancel/timeout was reported as `{"error":"Unknown exception"}`.
With this patch, the error fields are:
- error, one of the specific strings "Query interrupted", "Query timeout",
"Query cancelled", or "Unknown exception" (same behavior as before).
- errorMessage, the message of the topmost non-QueryInterruptedException
in the causality chain.
- errorClass, the class of the topmost non-QueryInterruptedException
in the causality chain.
- host, the host that failed the query.
* 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
* ability to not rollup at index time, make pre aggregation an option
* rename getRowIndexForRollup to getPriorIndex
* fix doc misspelling
* test query using no-rollup indexes
* fix benchmark fail due to jmh bug
* Add numeric StringComparator
* Only use direct long comparison for numeric ordering in BoundFilter, add time filtering benchmark query
* Address PR comments, add multithreaded BoundDimFilter test
* Add comment on strlen tie handling
* Add timeseries interval filter benchmark
* Adjust docs
* Use jackson for StringComparator, address PR comments
* Add new TopNMetricSpec and SearchSortSpec with tests (WIP)
* More TopNMetricSpec and SearchSortSpec tests
* Fix NewSearchSortSpec serde
* Update docs for new DimensionTopNMetricSpec
* Delete NumericDimensionTopNMetricSpec
* Delete old SearchSortSpec
* Rename NewSearchSortSpec to SearchSortSpec
* Add TopN numeric comparator benchmark, address PR comments
* Refactor OrderByColumnSpec
* Add null checks to NumericComparator and String->BigDecimal conversion function
* Add more OrderByColumnSpec serde tests
This fixes a potential issue where groupBy resources could be allocated to
create a Sequence, but then the Sequence is never used, and thus the resources
are never freed.
Also simplifies how groupBy handles config overrides (this made the new
unit test easier to write).
* InputRowParser to decode OrcStruct from OrcNewInputFormat
* add unit test for orc hadoop indexing
* update docs and fix test code bug
* doc updated
* resove maven dependency conflict
* remove unused imports
* fix returning array type from Object[] to correct primitive array type
* fix to support getDimension() of MapBasedRow : changing return type of orc list from array to list
* rebase and updated based on comments
* updated based on comments
* on reflecting review comments
* fix bug in typeStringFromParseSpec() and add unit test
* add license header
* Support filtering on __time column
* Rename DruidPredicate
* Add docs for ValueMatcherFactory, add comment on getColumnCapabilities
* Combine ValueMatcherFactory predicate methods to accept DruidCompositePredicate
* Address PR comments (support filter on all long columns)
* Use predicate factory instead of composite predicate
* Address PR comments
* Lazily initialize long handling in selector/in filter
* Move long value parsing from InFilter to InDimFilter, make long value parsing thread-safe
* Add multithreaded selector/in filter test
* Fix non-final lock object in SelectorDimFilter
- Attempt to make things clearer in general
- Point out that HDFS deep storage and MR jobs don't use the same loading mechanism
- Recommend using mapreduce.job.classloader = true when possible
* Initial commit of caffeine cache
* Address code comments
* Move and fixup README.md a bit
* Improve caffeine readme information
* Cleanup caffeine pom
* Address review comments
* Bump caffeine to 2.3.1
* Bump druid version to 0.9.2-SNAPSHOT
* Make test not fail randomly.
See https://github.com/ben-manes/caffeine/pull/93#issuecomment-227617998 for an explanation
* Fix distribution and documentation
* Add caffeine to extensions.md
* Fix links in extensions.md
* Lexicographic
This is actually reasonable for a groupBy or lexicographic topNs that is
being used to do a "COUNT DISTINCT" kind of query. No aggregators are
needed for that query, and including a dummy aggregator wastes 8 bytes
per row.
It's kind of silly for timeseries, but why not.
* support alphanumeric sort in search query
* address a comment about handling equals() and hashCode()
* address comments
* add Ut for string comparators
* address a comment about space indentations.
This patch introduces a GroupByStrategy concept and two strategies: "v1"
is the current groupBy strategy and "v2" is a new one. It also introduces
a merge buffers concept in DruidProcessingModule, to try to better
manage memory used for merging.
Both of these are described in more detail in #2987.
There are two goals of this patch:
1. Make it possible for historical/realtime nodes to return larger groupBy
result sets, faster, with better memory management.
2. Make it possible for brokers to merge streams when there are no order-by
columns, avoiding materialization.
This patch does not do anything to help with memory management on the broker
when there are order-by columns or when there are nested queries. That could
potentially be done in a future patch.
* docs: replace OR by AND inside topnquery docs about multi value dimensions
* docs: replace OR by AND inside groupby docs about multi value dimensions
* Cleanup the base lookup cluster wide config docs
* Add better examples in lookups-cached-global.md
* Use actual valid stock lookups
* Fixed maps with :
* Add mix of lookups
* Better examples in extension
* Remove unneeded namespace requirement
* Add extra line space
* Add link to lookup tiers
* Renamed header
* Async lookups-cached-global by default
* Also better lookup docs
* Fix test timeouts
* Fix timing of deserialized test
* Fix problem with 0 wait failing immediately
There is no such thing as a "Java aggregator" in Druid from a user's point of view, there are just native aggregator that happen to be implemented in Java.
- Make redirects for old links based on _redirects.json
- Replace #{DRUIDVERSION} tokens in docs with current version
- Allow origins named something other than "origin"
- Can use either s3cmd or awscli, depending on availability
* support LookupReferencesManager registration of namespaced lookup and eliminate static configurations for lookup from namespecd lookup extensions
- druid-namespace-lookup and druid-kafka-extraction-namespace are modified
- However, druid-namespace-lookup still has configuration about ON/OFF
HEAP cache manager selection, which is not namespace wide
configuration but node wide configuration as multiple namespace shares
the same cache manager
* update KafkaExtractionNamespaceTest to reflect argument signature changes
* Add more synchronization functionality to NamespaceLookupExtractorFactory
* Remove old way of using extraction namespaces
* resolve compile error by supporting LookupIntrospectHandler
* Remove kafka lookups
* Remove unused stuff
* Fix start and stop behavior to be consistent with new javadocs
* Remove unused strings
* Add timeout option
* Address comments on configurations and improve docs
* Add more options and update hash key and replaces
* Move monitoring to the overriding classes
* Add better start/stop logging
* Remove old docs about namespace names
* Fix bad comma
* Add `@JsonIgnore` to lookup factory
* Address code review comments
* Remove ExtractionNamespace from module json registration
* Fix problems with naming and initialization. Add tests
* Optimize imports / reformat
* Fix future not being properly cancelled on failed initial scheduling
* Fix delete returns
* Add more docs about whole introspection
* Add `/version` introspection point for lookups
* Add more tests and address comments
* Add StaticMap extraction namespace for testing. Also add a bunch of tests
* Move cache system property to `druid.lookup.namespace.cache.type`
* Make VERSION lower case
* Change poll period to 0ms for StaticMap
* Move cache key to bytebuffer
* Change hashCode and equals on static map extraction fn
* Add more comments on StaticMap
* Address comments
* Make scheduleAndWait use a latch
* Sanity renames and fix imports
* Remove extra info in docs
* Fix review comments
* Strengthen failure on start from warn to error
* Address comments
* Rename namespace-lookup to lookups-cached-global
* Fix injective mis-naming
* Also add serde test
* Allow dynamically setting of shutoffTime for EventReceiverFirehose
Allow dynamically setting shutoffTime for EventReceiverFirehose
review comments and tests
* shut down exec on close
* Datasource as lookup tier
* Adds an option to let indexing service tasks pull their lookup tier from the datasource they are working for.
* Fix bad docs for lookups lookupTier
* Add Datasource name holder
* Move task and datasource to be pulled from Task file
* Make LookupModule pull from bound dataSource
* Fix test
* Fix code style on imports
* Fix formatting
* Make naming better
* Address code comments about naming
* Make URI Exctraction Namespace take more sane arguments
* Fixes https://github.com/druid-io/druid/issues/2669
* Update docs
* Rename error message
* Undo overzealous deletion of docs
* Explain caching mechanism a bit more in docs
* Move kafka-extraction-namespace to the Lookup framework.
* Address comments
* Fix missing kafka introspection
* Fix tests to be less racy
* Make testing a bit more leniant
* Make tests even more forgiving
* Add comments to kafka lookup cache method
* Move startStopLock to just use started
* Make start() and stop() idempotent
* Forgot to update test after last change, test now accounts for idempotency
* Add extra idempotency on stop check
* Add more descriptive docs of behavior
* make isSingleThreaded groupBy query processing overridable at query time
* refactor code in GroupByMergedQueryRunner to make processing of single threaded and parallel merging of runners consistent
* Add back FilteredServerView removed in a32906c7fd to reduce memory usage using watched tiers.
* Add functionality to specify "druid.broker.segment.watchedDataSources"
* Document how to use roaring bitmaps
This fixes#2408.
While not all indexSpec properties are explained, it does explain how roaring bitmaps can be turned on.
* fix
* fix
* fix
* fix
The behavior is now that filters on "null" will match rows with no
values. The behavior in the past was inconsistent; sometimes these
filters would match and sometimes they wouldn't.
Adds tests for this behavior to SelectorFilterTest and
BoundFilterTest, for query-level filters and filtered aggregates.
Fixes#2750.
The reference to io.druid.extensions:kafka-extraction-namespace is wrong (should
be druid-kafka-extraction-namespace) and unnecessary (the extension id is written
at the top of the doc file).
This removes Filter.makeMatcher(ColumnSelectorFactory) and adds a
ValueMatcherFactory implementation to FilteredAggregatorFactory so it can
take advantage of existing makeMatcher(ValueMatcherFactory) implementations.
This patch also removes the Bound-based method from ValueMatcherFactory. Its
only user was the SpatialFilter, which could use the Predicate-based method.
Fixes#2604.
- Add central doc for multi-value dimensions, with some content from other docs.
- Link to multi-value dimension doc from topN and groupBy docs.
- Fixes a broken link from dimensionspecs.md, which was presciently already
linking to this nonexistent doc.
- Resolve inconsistent naming in docs & code (sometimes "multi-valued", sometimes
"multi-value") in favor of "multi-value".
This PR changes the retry of task actions to be a bit more aggressive
by reducing the maxWait. Current defaults were 1 min to 10 mins, which
lead to a very delayed recovery in case there are any transient network
issues between the overlord and the peons.
doc changes.
To bring consistency to docs and source this commit changes the default
values for maxRowsInMemory and rowFlushBoundary to 75000 after
discussion in PR https://github.com/druid-io/druid/pull/2457.
The previous default was 500000 and it's lower now on the grounds that
it's better for a default to be somewhat less efficient, and work,
than to reach for the stars and possibly result in
"OutOfMemoryError: java heap space" errors.
Slim
Gian Merlino
Himanshu
David Lim
Stéphane Derosiaux
Dave Li
Jonathan Wei
Ashish
Chanh Le
Fangjin Yang
rajk-tetration
Nishant
Navis Ryu
kaijianding
Charles Allen
Keuntae Park
Parag Jain
jaehong choi
michaelschiff
linbo.jin
Kirill Kozlov
Vadim Ogievetsky
Erik Dubbelboer
scusjs
Shekhar Gulati
Joe Pettersson
michaelschiff
binlijin
Gaurav Kumar
du00cs
Sébastien Launay
jon-wei
DuNinglin [杜宁林]
r4ruchir
Bingkun Guo
Robin
Parag Jain
Slim Bouguerra
dclim
rasahner
Xavier Léauté
jisookim
Björn Zettergren