* Always return sketches from DS_HLL, DS_THETA, DS_QUANTILES_SKETCH.
These aggregation functions are documented as creating sketches. However,
they are planned into native aggregators that include finalization logic
to convert the sketch to a number of some sort. This creates an
inconsistency: the functions sometimes return sketches, and sometimes
return numbers, depending on where they lie in the native query plan.
This patch changes these SQL aggregators to _never_ finalize, by using
the "shouldFinalize" feature of the native aggregators. It already
existed for theta sketches. This patch adds the feature for hll and
quantiles sketches.
As to impact, Druid finalizes aggregators in two cases:
- When they appear in the outer level of a query (not a subquery).
- When they are used as input to an expression or finalizing-field-access
post-aggregator (not any other kind of post-aggregator).
With this patch, the functions will no longer be finalized in these cases.
The second item is not likely to matter much. The SQL functions all declare
return type OTHER, which would be usable as an input to any other function
that makes sense and that would be planned into an expression.
So, the main effect of this patch is the first item. To provide backwards
compatibility with anyone that was depending on the old behavior, the
patch adds a "sqlFinalizeOuterSketches" query context parameter that
restores the old behavior.
Other changes:
1) Move various argument-checking logic from runtime to planning time in
DoublesSketchListArgBaseOperatorConversion, by adding an OperandTypeChecker.
2) Add various JsonIgnores to the sketches to simplify their JSON representations.
3) Allow chaining of ExpressionPostAggregators and other PostAggregators
in the SQL layer.
4) Avoid unnecessary FieldAccessPostAggregator wrapping in the SQL layer,
now that expressions can operate on complex inputs.
5) Adjust return type to thetaSketch (instead of OTHER) in
ThetaSketchSetBaseOperatorConversion.
* Fix benchmark class.
* Fix compilation error.
* Fix ThetaSketchSqlAggregatorTest.
* Hopefully fix ITAutoCompactionTest.
* Adjustment to ITAutoCompactionTest.
* Use lookup memory footprint in MSQ memory computations.
Two main changes:
1) Add estimateHeapFootprint to LookupExtractor.
2) Use this in MSQ's IndexerWorkerContext when determining the total
amount of available memory. It's taken off the top.
This prevents MSQ tasks from running out of memory when there are lookups
defined in the cluster.
* Updates from code review.
* Conversion from taskId to workerNumber in the workerClient
* storage connector changes, suffix file when finish writing to it
* Fix tests
* Trigger Build
* convert IntFunction to a dedicated interface
* first review round
* use a dummy file to indicate success
* fetch the first filename from the list in case of multiple files
* tests working, fix semantic issue with ls
* change how the success flag works
* comments, checkstyle, method rename
* fix test
* forbiddenapis fix
* Trigger Build
* change the writer
* dead store fix
* Review comments
* revert changes
* review
* review comments
* Update extensions-core/multi-stage-query/src/main/java/org/apache/druid/msq/shuffle/DurableStorageInputChannelFactory.java
Co-authored-by: Karan Kumar <karankumar1100@gmail.com>
* Update extensions-core/multi-stage-query/src/main/java/org/apache/druid/msq/shuffle/DurableStorageInputChannelFactory.java
Co-authored-by: Karan Kumar <karankumar1100@gmail.com>
* update error messages
* better error messages
* fix checkstyle
Co-authored-by: Karan Kumar <karankumar1100@gmail.com>
* Support for middle manager less druid, tasks launch as k8s jobs
* Fixing forking task runner test
* Test cleanup, dependency cleanup, intellij inspections cleanup
* Changes per PR review
Add configuration option to disable http/https proxy for the k8s client
Update the docs to provide more detail about sidecar support
* Removing un-needed log lines
* Small changes per PR review
* Upon task completion we callback to the overlord to update the status / locaiton, for slower k8s clusters, this reduces locking time significantly
* Merge conflict fix
* Fixing tests and docs
* update tiny-cluster.yaml
changed `enableTaskLevelLogPush` to `encapsulatedTask`
* Apply suggestions from code review
Co-authored-by: Abhishek Agarwal <1477457+abhishekagarwal87@users.noreply.github.com>
* Minor changes per PR request
* Cleanup, adding test to AbstractTask
* Add comment in peon.sh
* Bumping code coverage
* More tests to make code coverage happy
* Doh a duplicate dependnecy
* Integration test setup is weird for k8s, will do this in a different PR
* Reverting back all integration test changes, will do in anotbher PR
* use StringUtils.base64 instead of Base64
* Jdk is nasty, if i compress in jdk 11 in jdk 17 the decompressed result is different
Co-authored-by: Rahul Gidwani <r_gidwani@apple.com>
Co-authored-by: Abhishek Agarwal <1477457+abhishekagarwal87@users.noreply.github.com>
In clusters with a large number of segments, the duty `MarkAsUnusedOvershadowedSegments`
can take a long very long time to finish. This is because of the costly invocation of
`timeline.isOvershadowed` which is done for every used segment in every coordinator run.
Changes
- Use `DataSourceSnapshot.getOvershadowedSegments` to get all overshadowed segments
- Iterate over this set instead of all used segments to identify segments that can be marked as unused
- Mark segments as unused in the DB in batches rather than one at a time
- Refactor: Add class `SegmentTimeline` for ease of use and readability while using a
`VersionedIntervalTimeline` of segments.
* introduce a "tree" type to the flattenSpec
* feedback - rename exprs to nodes, use CollectionsUtils.isNullOrEmpty for guard
* feedback - expand docs to more clearly capture limitations of "tree" flattenSpec
* feedback - fix for typo on docs
* introduce a comment to explain defensive copy, tweak null handling
* fix: part of rebase
* mark ObjectFlatteners.FlattenerMaker as an ExtensionPoint and provide default for new tree type
* fix: objectflattener restore previous behavior to call getRootField for root type
* docs: ingestion/data-formats add note that ORC only supports path expressions
* chore: linter remove unused import
* fix: use correct newer form for empty DimensionsSpec in FlattenJSONBenchmark
Fixes a problem where, due to the inexactness of floating-point math, we
would potentially drift while tracking retained byte counts and run into
assertion failures in assertRetainedByteCountsAreTrackedCorrectly.
The K8 discovery mechanism, enabled by the druid-kubernetes-extension,
relies on each pod advertising its name and namespace on the env
variables POD_NAME and POD_NAMESPACE [1]. Add env variables to all
deployments/statefulsets.
[1] https://druid.apache.org/docs/latest/development/extensions-core/kubernetes.html
Signed-off-by: Alejandro del Castillo <alejandro.delcastillo@ni.com>
Signed-off-by: Alejandro del Castillo <alejandro.delcastillo@ni.com>
* First set of changes for framework
* Second set of changes to move segment map function to data source
* Minot change to server manager
* Removing the createSegmentMapFunction from JoinableFactoryWrapper and moving to JoinDataSource
* Checkstyle fixes
* Patching Eric's fix for injection
* Checkstyle and fixing some CI issues
* Fixing code inspections and some failed tests and one injector for test in avatica
* Another set of changes for CI...almost there
* Equals and hashcode part update
* Fixing injector from Eric + refactoring for broadcastJoinHelper
* Updating second injector. Might revert later if better way found
* Fixing guice issue in JoinableFactory
* Addressing review comments part 1
* Temp changes refactoring
* Revert "Temp changes refactoring"
This reverts commit 9da42a9ef0.
* temp
* Temp discussions
* Refactoring temp
* Refatoring the query rewrite to refer to a datasource
* Refactoring getCacheKey by moving it inside data source
* Nullable annotation check in injector
* Addressing some comments, removing 2 analysis.isJoin() checks and correcting the benchmark files
* Minor changes for refactoring
* Addressing reviews part 1
* Refactoring part 2 with new test cases for broadcast join
* Set for nullables
* removing instance of checks
* Storing nullables in guice to avoid checking on reruns
* Fixing a test case and removing an irrelevant line
* Addressing the atomic reference review comments
* add FrontCodedIndexed for delta string encoding
* now for actual segments
* fix indexOf
* fixes and thread safety
* add bucket size 4, which seems generally better
* fixes
* fixes maybe
* update indexes to latest interfaces
* utf8 support
* adjust
* oops
* oops
* refactor, better, faster
* more test
* fixes
* revert
* adjustments
* fix prefixing
* more chill
* sql nested benchmark too
* refactor
* more comments and javadocs
* better get
* remove base class
* fix
* hot rod
* adjust comments
* faster still
* minor adjustments
* spatial index support
* spotbugs
* add isSorted to Indexed to strengthen indexOf contract if set, improve javadocs, add docs
* fix docs
* push into constructor
* use base buffer instead of copy
* oops
* Fix two sources of SQL statement leaks.
1) SqlTaskResource and DruidJdbcResultSet leaked statements 100% of the
time, since they call stmt.plan(), which adds statements to
SqlLifecycleManager, and they do not explicitly remove them.
2) SqlResource leaked statements if yielder.close() threw an exception.
(And also would not emit metrics, since in that case it failed to
call stmt.close as well.)
* Only closeQuietly is needed.
* Remove usage of method deleted in latest jackson-databind
* Revert "Remove usage of method deleted in latest jackson-databind"
This reverts commit 81cb5d41d9.
* Use get-pip to install pip
* Use default pyyaml version
* Upgrade pyyaml
* Remove basePersistDirectory from tuning configs.
Since the removal of CliRealtime, it serves no purpose, since it is
always overridden in production using withBasePersistDirectory given
some subdirectory of the task work directory.
Removing this from the tuning config has a benefit beyond removing
no-longer-needed logic: it also avoids the side effect of empty
"druid-realtime-persist" directories getting created in the systemwide
temp directory.
* Test adjustments to appropriately set basePersistDirectory.
* Remove unused import.
* Fix RATC constructor.
* Refactor Calcite test "framework" for planner tests
Refactors the current Calcite tests to make it a bit easier
to adjust the set of runtime objects used within a test.
* Move data creation out of CalciteTests into TestDataBuilder
* Move "framework" creation out of CalciteTests into
a QueryFramework
* Move injector-dependent functions from CalciteTests
into QueryFrameworkUtils
* Wrapper around the planner factory, etc. to allow
customization.
* Bulk of the "framework" created once per class rather
than once per test.
* Refactor tests to use a test builder
* Change all testQuery() methods to use the test builder.
Move test execution & verification into a test runner.
In MSQ, there can be an upper limit to the number of worker warnings. For example, for parseExceptions encountered while parsing the external data, the user can specify an upper limit to the number of parse exceptions that can be allowed before it throws an error of type TooManyWarnings.
This PR makes it so that if the user disallows warnings of a certain type i.e. the limit is 0 (or is executing in strict mode), instead of throwing an error of type TooManyWarnings, we can directly surface the warning as the error, saving the user from the hassle of going throw the warning reports.
Tracking additional improvements requested by @paul-rogers: #13239
* api: refactor page so that indented bullet is child and unindented portion is parent
* get rid of post etc headings and combine them with the endpoint
* Update docs/operations/api-reference.md
Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
* fix broken links
* fix typo
Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com>
Async reads for JDBC:
Prevents JDBC timeouts on long queries by returning empty batches
when a batch fetch takes too long. Uses an async model to run the
result fetch concurrently with JDBC requests.
Fixed race condition in Druid's Avatica server-side handler
Fixed issue with no-user connections
* SQL: Use timestamp_floor when granularity is not safe.
PR #12944 added a check at the execution layer to avoid materializing
excessive amounts of time-granular buckets. This patch modifies the SQL
planner to avoid generating queries that would throw such errors, by
switching certain plans to use the timestamp_floor function instead of
granularities. This applies both to the Timeseries query type, and the
GroupBy timestampResultFieldGranularity feature.
The patch also goes one step further: we switch to timestamp_floor
not just in the ETERNITY + non-ALL case, but also if the estimated
number of time-granular buckets exceeds 100,000.
Finally, the patch modifies the timestampResultFieldGranularity
field to consistently be a String rather than a Granularity. This
ensures that it can be round-trip serialized and deserialized, which is
useful when trying to execute the results of "EXPLAIN PLAN FOR" with
GroupBy queries that use the timestampResultFieldGranularity feature.
* Fix test, address PR comments.
* Fix ControllerImpl.
* Fix test.
* Fix unused import.
Overlord leader election can sometimes fail due to task lock re-acquisition issues.
This commit solves the issue by failing such tasks and clearing all their locks.
We introduce two new configuration keys that refine the query context security model controlled by druid.auth.authorizeQueryContextParams. When that value is set to true then two other configuration options become available:
druid.auth.unsecuredContextKeys: The set of query context keys that do not require a security check. Use this for the "white-list" of key to allow. All other keys go through the existing context key security checks.
druid.auth.securedContextKeys: The set of query context keys that do require a security check. Use this when you want to allow all but a specific set of keys: only these keys go through the existing context key security checks.
Both are set using JSON list format:
druid.auth.securedContextKeys=["secretKey1", "secretKey2"]
You generally set one or the other values. If both are set, unsecuredContextKeys acts as exceptions to securedContextKeys.
In addition, Druid defines two query context keys which always bypass checks because Druid uses them internally:
sqlQueryId
sqlStringifyArrays
It was found that the namespace/cache/heapSizeInBytes metric that tracks the total heap size in bytes of all lookup caches loaded on a service instance was being under reported. We were not accounting for the memory overhead of the String object, which I've found in testing to be ~40 bytes. While this overhead may be java version dependent, it should not vary much, and accounting for this provides a better estimate. Also fixed some logging, and reading bytes from the JDBI result set a little more efficient by saving hash table lookups. Also added some of the lookup metrics to the default statsD emitter metric whitelist.
This is in preparation for eventually retiring the flag `useMaxMemoryEstimates`,
after which the footprint of a value in the dimension dictionary will always be
estimated using the `estimateSizeOfValue()` method.
Jonathan Wei
Gian Merlino
Didip Kerabat
DENNIS
Laksh Singla
317brian
Clint Wylie
Dr. Sizzles
Vadim Ogievetsky
Kashif Faraz
Jason Koch
Adarsh Sanjeev
AmatyaAvadhanula
Margaret Brewster
Alejandro del Castillo
Tejaswini Bandlamudi
Paul Rogers
somu-imply
chi-chi weng
Abhishek Agarwal
cristian-popa
hnakamor
arvindanugula
Victoria Lim
Karan Kumar
zachjsh
Rohan Garg