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.
* fix json_value sql planning with decimal type, fix vectorized expression math null value handling in default mode
changes:
* json_value 'returning' decimal will now plan to native double typed query instead of ending up with default string typing, allowing decimal vector math expressions to work with this type
* vector math expressions now zero out 'null' values even in 'default' mode (druid.generic.useDefaultValueForNull=false) to prevent downstream things that do not check the null vector from producing incorrect results
* more better
* test and why not vectorize
* more test, more fix
This adds min/max functions for CompressedBigDecimal. It exposes these
functions via sql (BIG_MAX, BIG_MIN--see the SqlAggFunction
implementations).
It also includes various bug fixes and cleanup to the original
CompressedBigDecimal code include the AggregatorFactories. Various null
handling was improved.
Additional test cases were added for both new and existing code
including a base test case for AggregationFactories. Other tests common
across sum,min,max may be refactored also to share the varoius cases in
the future.
1) Better support for Java 9+ in RuntimeInfo. This means that in many cases,
an actual validation can be done.
2) Clearer log message in cases where an actual validation cannot be done.
* process: update PR template to include release notes
* Update .github/pull_request_template.md [ci skip]
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
* Update .github/pull_request_template.md
Co-authored-by: Clint Wylie <cjwylie@gmail.com>
* incorporate feedback from paul
Co-authored-by: Charles Smith <techdocsmith@gmail.com>
Co-authored-by: Clint Wylie <cjwylie@gmail.com>
Vadim Ogievetsky
Kashif Faraz
Jason Koch
Adarsh Sanjeev
AmatyaAvadhanula
Margaret Brewster
Gian Merlino
Alejandro del Castillo
Tejaswini Bandlamudi
Paul Rogers
Clint Wylie
somu-imply
chi-chi weng
Laksh Singla
Abhishek Agarwal
317brian
cristian-popa
hnakamor
arvindanugula
Victoria Lim
Karan Kumar
zachjsh
Rohan Garg
Sam Rash
Jonathan Wei
Frank Chen