* SQL: Upgrade to Calcite 1.14.0, some refactoring of internals.
This brings benefits:
- Ability to do GROUP BY and ORDER BY with ordinals.
- Ability to support IN filters beyond 19 elements (fixes#4203).
Some refactoring of druid-sql internals:
- Builtin aggregators and operators are implemented as SqlAggregators
and SqlOperatorConversions rather being special cases. This simplifies
the Expressions and GroupByRules code, which were becoming complex.
- SqlAggregator implementations are no longer responsible for filtering.
Added new functions:
- Expressions: strpos.
- SQL: TRUNCATE, TRUNC, LENGTH, CHAR_LENGTH, STRLEN, STRPOS, SUBSTR,
and DATE_TRUNC.
* Add missing @Override annotation.
* Adjustments for forbidden APIs.
* Adjustments for forbidden APIs.
* Disable GROUP BY alias.
* Doc reword.
* adding new post aggregators of test stats to druid-stats extension
* changes to address code review comments
* fix checkstyle violations using druid_intellij_formatting.xml after merge upstream/master
* add @Override annotation per CI log
* make changes per review comments/discussions
* remove some blocks per review comments
* remove ServerConfig from DruidNode as all information needs to be present in DruidNode serialized form
* sanitize output of /druid/coordinator/v1/cluster endpoint
* 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 flattenSpec support to the Avro parser.
Also:
- Refactor the JSONPathParser a bit so it can share flattening code
with Avro (see ObjectFlatteners).
- Remove the JSONParser. It was only used in two places: by
UriNamespaceExtractor, and as a base for JSONToLowerParser. Migrated
the former to JSONPathParser and made the latter a standalone.
- Move GenericRecordAsMap to the Parquet extension, since the Avro
extension no longer uses it.
* Fix indentation.
* Fix equals/hashCode.
* Move caffeine out of extension.
* Remove `JsonTypeName` from the class itself
* Fix bad docs
* Fix distribution pom
* Fix unused import
* Make caffeine default
* Address code comments
* Add more description around the jre version in the readme
* Add suggested comments
* SQL: EXPLAIN improvements.
- Include query JSON in explain output.
- Fix a bug where semi-joins and nested groupBys were not fully explained.
- Fix a bug where limits were not included in "select" query explanations.
* Fix compile error.
* Fix compile error.
* Fix tests.
* internal-discovery: interfaces for announcement/discovery, curator impls
* more tests
* address some review comments
* more fixes
* address more review comments
* simplify ObjectMapper setup in CuratorDruidNodeAnnouncerAndDiscoveryTest
* fix KafkaIndexTaskTest
* make lookupTier overridable via RealtimeIndexTask and KafkaIndexTask context
* make teamcity build happy
* Implement "earlyMessageRejectionPeriod" config discussed in issue #4599
* implement the logics of this param
* Added doc of this config
* Added unit tests of it
* Update KafkaSupervisor.java
ameliorate comment
* fix format
* fix bug when rebasing
* Added support for where clauses to filter lookup values on ingestion.
Added a filter field to the JDBC lookups that is used to generate a
where clause so that only rows matching the filter value will be
brought into Druid. Example being filter="SOMECOLUMN=1"
* Required changes based on code review.
* Required changes based on code review.
* Added support for where clauses to filter lookup values on ingestion.
Added a filter field to the JDBC lookups that is used to generate a
where clause so that only rows matching the filter value will be
brought into Druid. Example being filter="SOMECOLUMN=1"
* Updates based on code review, mainly formatting and small refactor of
the buildLookupQuery method.
* Fixed broken buildLookupQuery method
* Removed empty line.
* Updates per review comments
* Add metrics to the native queries underpinning SQL.
This is done by factoring out the metrics and request log emitting
code from QueryResource into a new QueryLifecycle class. That class
is used by both QueryResource and the SQL DruidSchema and QueryMaker.
Also fixes a couple of bugs in QueryResource:
- RequestLogLine start time was set to `TimeUnit.NANOSECONDS.toMillis(startNs)`,
which is incorrect since absolute nanos cannot be converted to millis.
- DruidMetrics.makeRequestMetrics was called with null `query` on
unparseable queries, which led to spurious "Unable to log query"
errors.
Partial fix for #4047.
* Code style
* Remove unused imports.
* Fix tests.
* Remove unused import.
* Fixes and improvements to SQL metadata caching.
Also adds support for MultipleSpecificSegmentSpec to CachingClusteredClient.
SQL changes:
- Cache metadata on a per-segment level, in addition to per-dataSource, so
we don't need to re-query all segments whenever a single new one appears.
This should lower the load placed on the cluster by metadata queries.
- Fix race condition in DruidSchema that can cause us to miss metadata. It was
possible to notice new segments, then issue a query, and have that query
not actually hit those segments, and not notice that it didn't hit those segments.
Then, the metadata from those segments would be ignored.
- Fix assumption in DruidSchema that all segments are immutable. Now, mutable
segments are periodically re-queried.
- Fix inappropriate re-use of SchemaPlus. Now we create one for each planning
cycle, rather than sharing one. It caches table objects, which we want to
avoid, since it can cause stale metadata. We do the caching in DruidSchema
so we don't need the SchemaPlus caching.
Server changes:
- Add a TimelineCallback to TimelineServerView, for callers that want to get updates
when the timeline has been modified.
- Change CachingClusteredClient from a QueryRunner to a QuerySegmentWalker. This
allows it to accept queries that are segment-descriptor-based rather than
intervals-based. In particular it will now support MultipleSpecificSegmentSpec.
* Fix DruidSchema, and unused imports.
* Remove unused import.
* Fix SqlBenchmark.
Jihoon Son
Gian Merlino
chunghochen
Guillaume Balaine
Alexander Saydakov
Jonathan Wei
Himanshu
Goh Wei Xiang
Roman Leventov
Gino Ledesma
Parag Jain
Charles Allen
hzy001
Yuewen Wang
Peter Cunningham
Slim