Merging regardless of nit since topic is in better shape.
* refresh the update data tutorial
* Apply suggestions from code review
Co-authored-by: Jill Osborne <jill.osborne@imply.io>
---------
Co-authored-by: Jill Osborne <jill.osborne@imply.io>
* Fix lookup docs
* Fix spelling
* Apply suggestions from code review
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
---------
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Adjust Operators to be Pausable
This enables "merge" style operations that
combine multiple streams.
This change includes a naive implementation
of one such merge operator just to provide
concrete evidence that the refactoring is
effective.
Add a new API to return the history of changes to automatic compaction config history to make it easy for users to see what changes have been made to their auto-compaction config.
The API is scoped per dataSource to allow users to triage issues with an individual dataSource. The API responds with a list of configs when there is a change to either the settings that impact all auto-compaction configs on a cluster or the dataSource in question.
* adds the SQL component of the native unnest functionality in Druid to unnest SQL queries on a table dimension, virtual column or a constant array and convert them into native Druid queries
* unnest in SQL is implemented as a combination of Correlate (the comma join part) and Uncollect (the unnest part)
* SQL test framework extensions
* Capture planner artifacts: logical plan, etc.
* Planner test builder validates the logical plan
* Validation for the SQL resut schema (we already have
validation for the Druid row signature)
* Better Guice integration: properties, reuse Guice modules
* Avoid need for hand-coded expr, macro tables
* Retire some of the test-specific query component creation
* Fix query log hook race condition
Co-authored-by: Paul Rogers <progers@apache.org>
* discover nested columns when using nested column indexer for schemaless
* move useNestedColumnIndexerForSchemaDiscovery from AppendableIndexSpec to DimensionsSpec
Much improved table functions
* Revises properties, definitions in the catalog
* Adds a "table function" abstraction to model such functions
* Specific functions for HTTP, inline, local and S3.
* Extended SQL types in the catalog
* Restructure external table definitions to use table functions
* EXTEND syntax for Druid's extern table function
* Support for array-valued table function parameters
* Support for array-valued SQL query parameters
* Much new documentation
Support both indexer and MM in ITs
Support for the DRUID_INTEGRATION_TEST_INDEXER variable
Conditional client cluster configuration
Cleanup of OVERRIDE_ENV file handling
Enforce setting of test-specific env vars
Cleanup of unused bits
* Semantic Implementations for ArrayListRAC
This adds implementations of semantic interfaces
to optimize (eliminate object creation) the
window processing on top of an ArrayListSegment.
Tests are also added to cover the interplay
between the semantic interfaces that are expected
for this use case
* migrate UTs form Travis to GHA
* update permissions
* rename file
* set fetch depth to 1
* debugs remote branches
* test with github.ref variable
* fetch github.base_ref for diff
* nit
* test git diff
* run tests
* test code coverage failure scenario
* nit
* nit
* revert code changes
* revert code changes
* Setup diff-test-coverage before tests
* build distribution module at end in packaging check
* nit
* remove redundant steps in static-checks workflow
* drop jdk8 unit tests from Travis
* Kinesis: More robust default fetch settings.
1) Default recordsPerFetch and recordBufferSize based on available memory
rather than using hardcoded numbers. For this, we need an estimate
of record size. Use 10 KB for regular records and 1 MB for aggregated
records. With 1 GB heaps, 2 processors per task, and nonaggregated
records, recordBufferSize comes out to the same as the old
default (10000), and recordsPerFetch comes out slightly lower (1250
instead of 4000).
2) Default maxRecordsPerPoll based on whether records are aggregated
or not (100 if not aggregated, 1 if aggregated). Prior default was 100.
3) Default fetchThreads based on processors divided by task count on
Indexers, rather than overall processor count.
4) Additionally clean up the serialized JSON a bit by adding various
JsonInclude annotations.
* Updates for tests.
* Additional important verify.
* single typed "root" only nested columns now mimic "regular" columns of those types
* incremental index can now use nested column indexer instead of string indexer for discovered columns
* reword single server page
* fix typo
* Update docs/operations/single-server.md
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* spelling
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
Tejaswini Bandlamudi
Kashif Faraz
Victoria Lim
Sergio Ferragut
Suneet Saldanha
AmatyaAvadhanula
somu-imply
Jason Koch
Clint Wylie
Tijo Thomas
Adarsh Sanjeev
Xavier Léauté
Jill Osborne
Vadim Ogievetsky
sairam devarashetty
317brian
imply-cheddar
Rohan Garg
Laksh Singla
Maytas Monsereenusorn
Paul Rogers
Eyal Yurman
Benedict Jin
Abhishek Agarwal
Gian Merlino
Rishabh Singh
abhagraw
Karan Kumar
Dongjoon Hyun