* Reworking s3 connector with
1. Adding retries
2. Adding max fetch size
3. Using s3Utils for most of the api's
4. Fixing bugs in DurableStorageCleaner
5. Moving to Iterator for listDir call
array columns!
changes:
* add support for storing nested arrays of string, long, and double values as specialized nested columns instead of breaking them into separate element columns
* nested column type mimic behavior means that columns ingested with only root arrays of primitive values will be ARRAY typed columns
* neat test refactor stuff
* add v4 segment test
* add array element indexes
* add tests for unnest and array columns
* fix unnest column value selector cursor handling of null and empty arrays
Document how to report security issues on the security overview page, so we can link this page from the homepage. That should make all the other important security information easier to find as well.
Expands the OIDC based auth in Druid by adding a JWT Authenticator that validates ID Tokens associated with a request. The existing pac4j authenticator works for authenticating web users while accessing the console, whereas this authenticator is for validating Druid API requests made by Direct clients. Services already supporting OIDC can attach their ID tokens to the Druid requests
under the Authorization request header.
* Hook up PodTemplateTaskAdapter
* Make task adapter TYPE parameters final
* Rename adapters types
* Include specified adapter name in exception message
* Documentation for sidecarSupport deprecation
* Fix order
* Set TASK_ID as environment variable in PodTemplateTaskAdapter (#13969)
* Update docs/development/extensions-contrib/k8s-jobs.md
Co-authored-by: Abhishek Agarwal <1477457+abhishekagarwal87@users.noreply.github.com>
* Hook up PodTemplateTaskAdapter
* Make task adapter TYPE parameters final
* Rename adapters types
* Include specified adapter name in exception message
* Documentation for sidecarSupport deprecation
* Fix order
* fix spelling errors
---------
Co-authored-by: Abhishek Agarwal <1477457+abhishekagarwal87@users.noreply.github.com>
* Refactoring and bug fixes on top of unnest. The filter now is passed inside the unnest cursors. Added tests for scenarios such as
1. filter on unnested column which involves a left filter rewrite
2. filter on unnested virtual column which pushes the filter to the right only and involves no rewrite
3. not filters
4. SQL functions applied on top of unnested column
5. null present in first row of the column to be unnested
* Pod template task adapter
* Use getBaseTaskDirPaths
* Remove unused task from getEnv
* Use Optional.ifPresent() instead of Optional.map()
* Pass absolute path
* Don't pass task to getEnv
* Assert the correct adapter is created
* Javadocs and Comments
* Add exception message to assertions
* Add segment generator counters to reports
* Remove unneeded annotation
* Fix checkstyle and coverage
* Add persist and merged as new metrics
* Address review comments
* Fix checkstyle
* Create metrics class to handle updating counters
* Address review comments
* Add rowsPushed as a new metrics
changes:
* fixes inconsistent handling of byte[] values between ExprEval.bestEffortOf and ExprEval.ofType, which could cause byte[] values to end up as java toString values instead of base64 encoded strings in ingest time transforms
* improved ExpressionTransform binding to re-use ExprEval.bestEffortOf when evaluating a binding instead of throwing it away
* improved ExpressionTransform array handling, added RowFunction.evalDimension that returns List<String> to back Row.getDimension and remove the automatic coercing of array types that would typically happen to expression transforms unless using Row.getDimension
* added some tests for ExpressionTransform with array inputs
* improved ExpressionPostAggregator to use partial type information from decoration
* migrate some test uses of InputBindings.forMap to use other methods
Changes:
- Set `useRoundRobinSegmentAssignment` in coordinator dynamic config to `true` by default.
- Set `batchSegmentAllocation` in `TaskLockConfig` (used in Overlord runtime properties) to `true` by default.
Broken test appears unrelated to this PR
* make druidapi pip installable
* include druidapi in prerequisites
* add license to setup.py
* updates from Paul's review
* note about editable install
* Apply suggestions from code review
Co-authored-by: 317brian <53799971+317brian@users.noreply.github.com>
* update install instructions
* found unrelated typos
* standardize install cmd with pip
---------
Co-authored-by: 317brian <53799971+317brian@users.noreply.github.com>
* Lower default maxRowsInMemory for realtime ingestion.
The thinking here is that for best ingestion throughput, we want
intermediate persists to be as big as possible without using up all
available memory. So, we rely mainly on maxBytesInMemory. The default
maxRowsInMemory (1 million) is really just a safety: in case we have
a large number of very small rows, we don't want to get overwhelmed
by per-row overheads.
However, maximum ingestion throughput isn't necessarily the primary
goal for realtime ingestion. Query performance is also important. And
because query performance is not as good on the in-memory dataset, it's
helpful to keep it from growing too large. 150k seems like a reasonable
balance here. It means that for a typical 5 million row segment, we
won't trigger more than 33 persists due to this limit, which is a
reasonable number of persists.
* Update tests.
* Update server/src/main/java/org/apache/druid/segment/indexing/RealtimeTuningConfig.java
Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
* Fix test.
* Fix link.
---------
Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
* This makes the zookeeper connection retry count configurable. This is presently hardcoded to 29 tries which ends up taking a long time for the druid node to shutdown in case of ZK connectivity loss.
Having a shorter retry count helps k8s deployments to fail fast. In situations where the underlying k8s node loses network connectivity or is no longer able to talk to zookeeper, failing fast can trigger pod restarts which can then reassign the pod to a healthy k8s node.
Existing behavior is preserved, but users can override this property if needed.
* Removing intermediateSuperSorterStorageMaxLocalBytes, maxInputBytesPerWorker, composedIntermediateSuperSorterStorageEnabled, clusterStatisticsMergeMode from docs
* Adding documentation in the context class.
*
1. Handling deletion/creation of container created during the previously run test in AzureTestUtil.java.
2. Adding/updating log messages and comments in Azure and GCS deep storage tests.
* Adds new implementation of 'frontCoded' string encoding strategy, which writes out a v1 FrontCodedIndexed which stores buckets on a prefix of the previous value instead of the first value in the bucket
* Refactoring and bug fixes on top of unnest. The filter now is passed inside the unnest cursors. Added tests for scenarios such as
1. filter on unnested column which involves a left filter rewrite
2. filter on unnested virtual column which pushes the filter to the right only and involves no rewrite
3. not filters
4. SQL functions applied on top of unnested column
5. null present in first row of the column to be unnested
* Various changes and fixes to UNNEST.
Native changes:
1) UnnestDataSource: Replace "column" and "outputName" with "virtualColumn".
This enables pushing expressions into the datasource. This in turn
allows us to do the next thing...
2) UnnestStorageAdapter: Logically apply query-level filters and virtual
columns after the unnest operation. (Physically, filters are pulled up,
when possible.) This is beneficial because it allows filters and
virtual columns to reference the unnested column, and because it is
consistent with how the join datasource works.
3) Various documentation updates, including declaring "unnest" as an
experimental feature for now.
SQL changes:
1) Rename DruidUnnestRel (& Rule) to DruidUnnestRel (& Rule). The rel
is simplified: it only handles the UNNEST part of a correlated join.
Constant UNNESTs are handled with regular inline rels.
2) Rework DruidCorrelateUnnestRule to focus on pulling Projects from
the left side up above the Correlate. New test testUnnestTwice verifies
that this works even when two UNNESTs are stacked on the same table.
3) Include ProjectCorrelateTransposeRule from Calcite to encourage
pushing mappings down below the left-hand side of the Correlate.
4) Add a new CorrelateFilterLTransposeRule and CorrelateFilterRTransposeRule
to handle pulling Filters up above the Correlate. New tests
testUnnestWithFiltersOutside and testUnnestTwiceWithFilters verify
this behavior.
5) Require a context feature flag for SQL UNNEST, since it's undocumented.
As part of this, also cleaned up how we handle feature flags in SQL.
They're now hooked into EngineFeatures, which is useful because not
all engines support all features.
You can now add additional configuration files to be copied to the final conf directory on startup when running in a containerized environment. Useful for running on Kubernetes and needing to add more files with a config map. To specify the path where the configMap is mounted, utilize the DRUID_ADDITIONAL_CONF_DIR environment variable.
Karan Kumar
Rishabh Singh
Clint Wylie
Gian Merlino
Arnout Engelen
kaijianding
Atul Mohan
Nicholas Lippis
Jill Osborne
Abhishek Agarwal
abhagraw
Paul Rogers
Soumyava
Vadim Ogievetsky
Adarsh Sanjeev
Kashif Faraz
Victoria Lim
Tejaswini Bandlamudi
John Gozde
317brian
Benedict Jin
Andreas Maechler
Elliott Freis
Suneet Saldanha
AdheipSingh
EylonLevy
imply-cheddar