This function is notorious for causing memory exhaustion and excessive
CPU usage; so much so that it was valuable to work around it in the
SQL planner in #13206. Hopefully, a warning comment will encourage
developers to stay away and come up with solutions that do not involve
computing all possible buckets.
Python Druid API for use in notebooks
Revises existing notebooks and readme to reference
the new API.
Notebook to explain the new API.
Split README into a console version and a notebook
version to work around lack of a nice display for
md files.
Update the REST API notebook to use simpler Requests calls
Converted the SQL tutorial to use the Python library
README file, converted to using properties
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Co-authored-by: Charles Smith <techdocsmith@gmail.com>
Co-authored-by: Victoria Lim <vtlim@users.noreply.github.com>
* Bump CycloneDX module to address POM errors
* Including web-console in the PR
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Co-authored-by: Elliott Freis <elliottfreis@Elliott-Freis.earth.dynamic.blacklight.net>
You can now do the following operations with TupleSketches in Post Aggregation Step
Get the Sketch Output as Base64 String
Provide a constant Tuple Sketch in post-aggregation step that can be used in Set Operations
Get the Estimated Value(Sum) of Summary/Metrics Objects associated with Tuple Sketch
The FiniteFirehoseFactory and InputRowParser classes were deprecated in 0.17.0 (#8823) in favor of InputSource & InputFormat. This PR removes the FiniteFirehoseFactory and all its implementations along with classes solely used by them like Fetcher (Used by PrefetchableTextFilesFirehoseFactory). Refactors classes including tests using FiniteFirehoseFactory to use InputSource instead.
Removing InputRowParser may not be as trivial as many classes that aren't deprecated depends on it (with no alternatives), like EventReceiverFirehoseFactory. Hence FirehoseFactory, EventReceiverFirehoseFactory, and Firehose are marked deprecated.
*When running REPLACE queries, the segments which contain no data are dropped (marked as unused). This PR aims to generate tombstones in place of segments which contain no data to mark their deletion, as is the behavior with the native ingestion.
This will cause InsertCannotReplaceExistingSegmentFault to be removed since it was generated if the interval to be marked unused didn't fully overlap one of the existing segments to replace.
* move numeric null value coercion out of expression processing engine
* add ExprEval.valueOrDefault() to allow consumers to automatically coerce to default values
* rename Expr.buildVectorized as Expr.asVectorProcessor more consistent naming with Function and ApplyFunction; javadocs for some stuff
* Fix NPE in KinesisSupervisor#setupRecordSupplier.
PR #13539 refactored record supplier creation and introduced a bug:
this method would throw NPE when recordsPerFetch was not provided
by the user. recordsPerFetch isn't needed in this context at all,
since the supervisor-side supplier doesn't fetch records. So this
patch sets it to zero.
* Remove unused imports.
* Make CompactionSearchPolicy injectable
A small refactoring that makes the search policy for compaction injectable.
Future changes can introduce new search policies that can be configured and
injected so that operators can choose which search policy is best suited for
their cluster.
This will also allow us to de-couple the scheduling of compaction jobs from
the CompactSegments duty, allowing the co-ordinator to schedule compaction
jobs faster than the duty lifecycle.
This PR is made so that it easy to review the future changes.
* fix tests
When both plainText and TLS ports are set in druid, the redirection to a different leader node can fail. This is caused by how we compare a redirect path and the leader locations registered with a druid node. While the registered location has both plainText and TLS port set, the redirect path only has one port since it's a URI.
Update suggested segment-cache path, Allow for per-service serviceAccounts in druid helm chart and finer-grained RBAC, and add a default annotation to historical statefulset.
* docs: add juptyer API tutorial for API and jupyter tutorial index (#3)
(cherry picked from commit aeb8d9e3390fa26d9c533dce0862295b80c58583)
* update prereqs and fix jupyterlab name
* Removing notebook since 13345 has it
13345 should be merged first
* update contributing instructions
* docs: link to the Druid SQL tutorial
* Add link to partitioning
* fix merge conflict
* Saving
* Update docs/tutorials/tutorial-jupyter-index.md
* Remove partitioning
---------
Co-authored-by: 317brian <53799971+317brian@users.noreply.github.com>
Co-authored-by: brian.le <brian.le@imply.io>
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
If the intermediate handoff period is less than the task duration and there is no new data in the input topic, task will continuously checkpoint the same offsets again and again. This PR fixes that bug by resetting the checkpoint time even when the task receives the same end offset request again.
Vadim Ogievetsky
Gian Merlino
Nicholas Lippis
Karan Kumar
Rohan Garg
Paul Rogers
Elliott Freis
Abhishek Agarwal
Anshu Makkar
317brian
Jill Osborne
Tejaswini Bandlamudi
Nicholas Lippis
Abhishek Radhakrishnan
Clint Wylie
Apoorv Gupta
Laksh Singla
AdheipSingh
Kashif Faraz
Suneet Saldanha
Victoria Lim
tejasparbat
Win Min Soe
Jason Witkowski
hqx871
benkrug
Katya Macedo
Adarsh Sanjeev