Update of direct dependencies:
* kubernetes java-client to 19.0.0
* docker-java-bom to 3.3.4
In order to update transitive dependencies:
* okio to 3.6.0
* bcjava to 1.76
To address CVES:
- CVE-2023-3635 in okio
- CVE-2023-33201 in bcjava
---------
Co-authored-by: Xavier Léauté <xvrl@apache.org>
Fixes a potential NPE which could occur while folding the HllSketchAggregator. If the sketch is null, druid could return a null HllSketchHolder object. Adding a null check here could help here
Resolves a null pointer exception in HllSketchAggregatorFactory
This change completes the change introduced in #15461
and unifies the version of gson dependency used between all the modules.
gson is used by kubernetes-extension, avro-extensions, ranger-security,
and as a test dependency in several core modules.
---------
Co-authored-by: Xavier Léauté <xl+github@xvrl.net>
* Excluding jackson-jaxrs dependency from ranger-plugin-common to address CVE regression introduced by ranger-upgrade: CVE-2019-10202, CVE-2019-10172
* remove the reference to outdated ranger 2.0 from the docs
---------
Co-authored-by: Xavier Léauté <xl+github@xvrl.net>
Recent upgrade of ranger introduced CVE regressions due to outdated elasticsearch components.
Druid-ranger-plugin does not elasticsearch components , and they have been explicitly removed.
Update woodstox-core to 6.4.0 to address GHSA-3f7h-mf4q-vrm4
This PR revives #14978 with a few more bells and whistles. Instead of an unconditional cross-join, we will now split the join condition such that some conditions are now evaluated post-join. To decide what sub-condition goes where, I have refactored DruidJoinRule class to extract unsupported sub-conditions. We build a postJoinFilter out of these unsupported sub-conditions and push to the join.
* update confluent's dependencies to common, supported version
Update io.confluent.* dependencies to common, updated version 6.2.12
currently used versions are EOL
* move version definition to the top level pom
Changes:
- Fix log `Got end of partition marker for partition [%s] from task [%s] in discoverTasks`
by fixing order of args
- Simplify in-line classes by using lambda
- Update kill task message from `Task [%s] failed to respond to [set end offsets]
in a timely manner, killing task` to `Failed to set end offsets, killing task`
- Clean up tests
There is a problem with Quantiles sketches and KLL Quantiles sketches.
Queries using the histogram post-aggregator fail if:
- the sketch contains at least one value, and
- the values in the sketch are all equal, and
- the splitPoints argument is not passed to the post-aggregator, and
- the numBins argument is greater than 2 (or not specified, which
leads to the default of 10 being used)
In that case, the query fails and returns this error:
{
"error": "Unknown exception",
"errorClass": "org.apache.datasketches.common.SketchesArgumentException",
"host": null,
"errorCode": "legacyQueryException",
"persona": "OPERATOR",
"category": "RUNTIME_FAILURE",
"errorMessage": "Values must be unique, monotonically increasing and not NaN.",
"context": {
"host": null,
"errorClass": "org.apache.datasketches.common.SketchesArgumentException",
"legacyErrorCode": "Unknown exception"
}
}
This behaviour is undesirable, since the caller doesn't necessarily
know in advance whether the sketch has values that are diverse
enough. With this change, the post-aggregators return [N, 0, 0...]
instead of crashing, where N is the number of values in the sketch,
and the length of the list is equal to numBins. That is what they
already returned for numBins = 2.
Here is an example of a query that would fail:
{"queryType":"timeseries",
"dataSource": {
"type": "inline",
"columnNames": ["foo", "bar"],
"rows": [
["abc", 42.0],
["def", 42.0]
]
},
"intervals":["0000/3000"],
"granularity":"all",
"aggregations":[
{"name":"the_sketch", "fieldName":"bar", "type":"quantilesDoublesSketch"}],
"postAggregations":[
{"name":"the_histogram",
"type":"quantilesDoublesSketchToHistogram",
"field":{"type":"fieldAccess","fieldName":"the_sketch"},
"numBins": 3}]}
I believe this also fixes issue #10585.
* Fix capacity response in mm-less ingestion (#14888)
Changes:
- Fix capacity response in mm-less ingestion.
- Add field usedClusterCapacity to the GET /totalWorkerCapacity response.
This API should be used to get the total ingestion capacity on the overlord.
- Remove method `isK8sTaskRunner` from interface `TaskRunner`
* Using Map to perform comparison
* Minor Change
---------
Co-authored-by: George Shiqi Wu <george.wu@imply.io>
Saw bug where MSQ controller task would continue to hold the task slot even after cancel was issued.
This was due to a deadlock created on work launch. The main thread was waiting for tasks to spawn and the cancel thread was waiting for tasks to finish.
The fix was to instruct the MSQWorkerTaskLauncher thread to stop creating new tasks which would enable the main thread to unblock and release the slot.
Also short circuited the taskRetriable condition. Now the check is run in the MSQWorkerTaskLauncher thread as opposed to the main event thread loop. This will result in faster task failure in case the task is deemed to be non retriable.
* MSQ generates tombstones honoring the query's granularity.
This change tweaks to only account for the infinite-interval tombstones.
For finite-interval tombstones, the MSQ query granualrity will be used
which is consistent with how MSQ works.
* more tests and some cleanup.
* checkstyle
* comment edits
* Throw TooManyBuckets fault based on review; add more tests.
* Add javadocs for both methods on reconciling the methods.
* review: Move testReplaceTombstonesWithTooManyBucketsThrowsException to MsqFaultsTest
* remove unused imports.
* Move TooManyBucketsException to indexing package for shared exception handling.
* lower max bucket for tests and fixup count
* Advance and count the iterator.
* checkstyle
* + Fix for Flaky Test
* + Replacing TreeMap with LinkedHashMap
* + Changing data structure from LinkedHashMap to HashMap
* Fixed flaky test in S3DataSegmentPusherConfigTest.testSerializationValidatingMaxListingLength
* Minor Changes
In the current design, brokers query both data nodes and tasks to fetch the schema of the segments they serve. The table schema is then constructed by combining the schemas of all segments within a datasource. However, this approach leads to a high number of segment metadata queries during broker startup, resulting in slow startup times and various issues outlined in the design proposal.
To address these challenges, we propose centralizing the table schema management process within the coordinator. This change is the first step in that direction. In the new arrangement, the coordinator will take on the responsibility of querying both data nodes and tasks to fetch segment schema and subsequently building the table schema. Brokers will now simply query the Coordinator to fetch table schema. Importantly, brokers will still retain the capability to build table schemas if the need arises, ensuring both flexibility and resilience.
* Use filters for pruning properly for hash-joins.
Native used them too aggressively: it might use filters for the RHS
to prune the LHS. MSQ used them not at all. Now, both use them properly,
pruning based on base (LHS) columns only.
* Fix tests.
* Fix style.
* Clear filterFields too.
* Update.
* Add system fields to input sources.
Main changes:
1) The SystemField enum defines system fields "__file_uri", "__file_path",
and "__file_bucket". They are associated with each input entity.
2) The SystemFieldInputSource interface can be added to any InputSource
to make it system-field-capable. It sets up serialization of a list
of configured "systemFields" in the JSON form of the input source, and
provides a method getSystemFieldValue for computing the value of each
system field. Cloud object, HDFS, HTTP, and Local now have this.
* Fix various LocalInputSource calls.
* Fix style stuff.
* Fixups.
* Fix tests and coverage.
* better documentation for the differences between arrays and mvds
* add outputType to ExpressionPostAggregator to make docs true
* add output coercion if outputType is defined on ExpressionPostAgg
* updated post-aggregations.md to be consistent with aggregations.md and filters.md and use tables
While running queries on real time tasks using MSQ, there is an issue with queries with certain order by columns.
If the query specifies a non time column, the query is planned as it is supported by MSQ. However, this throws an exception when passed to real time tasks once as the native query stack does not support it. This PR resolves this by removing the ordering from the query before contacting real time tasks.
Fixes a bug with MSQ while reading data from real time tasks with non time ordering
ServiceClientImpl logs the cause of every retry, even though we are retrying the connection attempt. This leads to slight pollution in the logs because a lot of the time, the reason for retrying is the same. This is seen primarily in MSQ, when the worker task hasn't launched yet however controller attempts to connect to the worker task, which can lead to scary-looking messages (with INFO log level), even though they are normal.
This PR changes the logging logic to log every 10 (arbitrary number) retries instead of every retry, to reduce the pollution of the logs.
Note: If there are no retries left, the client returns an exception, which would get thrown up by the caller, and therefore this change doesn't hide any important information.
Functions that accept literals also allow casted literals. This shouldn't have an impact on the queries that the user writes. It enables the SQL functions to accept explicit cast, which is required with JDBC.
* Update S3 retry logic based on the underlying cause in case of IOException.
4xx and other errors wrapped in IOException for instance aren't retriable.
* Fix CI
This PR:
adds a flag to JsonToParquet to do the fix during conversion
updates the json files to more correct conents
some resultset mismatches were fixed by this
updates parquet to 1.13.1
Patch adds an undocumented parameter taskLockType to MSQ so that we can start enabling this feature for users who are interested in testing the new lock types.
This PR addresses a bug with waiting for segments to be loaded. In the case of append, segments would be created with the same version. This caused the number of segments returned to be incorrect.
This PR changes this to keep track of the range of partition numbers as well for each version, which lets the task wait for the correct set of segments. The partition numbers are expected to be continuous since the task obtains the lock for the segment while running.
Adding the ability to limit the pages sizes of select queries.
We piggyback on the same machinery that is used to control the numRowsPerSegment.
This patch introduces a new context parameter rowsPerPage for which the default value is set to 100000 rows.
This patch also optimizes adding the last selectResults stage only when the previous stages have sorted outputs. Currently for each select query with selectDestination=durableStorage, we used to add this extra selectResults stage.
* sql compatible tri-state native logical filters when druid.expressions.useStrictBooleans=true and druid.generic.useDefaultValueForNull=false, and new druid.generic.useThreeValueLogicForNativeFilters=true
* log.warn if non-default configurations are used to guide operators towards SQL complaint behavior
* fixes
* check for latest rewrite place
* Revert "check for latest rewrite place"
This reverts commit 5cf1e2c1ca.
* some stuff
(cherry picked from commit ab346d4373ea888eb8ef6115e018e7fb0d27407f)
* update test output
* updates to test ouptuts
* some stuff
* move validator
* cleanup
* fix
* change test slightly
* add apidoc cleanup warnings
* cleanup/etc
* instead of telling the story; add a fail with some reason whats the issue
* lead-lag fix
* add test
* remove unnecessary throw
* druidexception-trial
* Revert "druidexception-trial"
This reverts commit 8fa06644bc.
* undo changes to no_grouping; add no_grouping2
* add missing assert on resultcount
* rename method; update
* introduce enum/etc
* make resultmatchmode accessible from TestBuilder#expectedResults
* fix dump results to use log
* fix
* handle null correctly
* disable feature type based things for MSQ
* fix varianssqlaggtest
* use eps in other test
* fix intellij error
* add final
* addrss review
* update test/string/etc
* write concat in 3 lines :D
MSQ uses the string dimension schema for ARRAY<STRING> typed columns, which creates MVDs instead of string arrays as required. Therefore someone trying to ingest columns of type ARRAY<STRING> from an external data source or another data source would get STRING columns in the newly generated segments.
This patch changes the following:
- Use auto dimension schema to ingest the ARRAY<STRING> columns, which will create columns with the desired type.
- Add an undocumented flag ingestStringArraysAsMVDs to preserve the legacy behavior. Legacy behaviour is turned on by default.
- Create MSQArraysInsertTest and refactor some of the tests in MSQInsertTest.
* add a bunch of tests with array typed columns to CalciteArraysQueryTest
* fix a bug with unnest filter pushdown when filtering on unnested array columns
AmatyaAvadhanula
Jan Werner
Adarsh Sanjeev
Abhishek Agarwal
Clint Wylie
Kashif Faraz
Vivek Dhiman
Magnus Henoch
Krishna Anandan
Karan Kumar
Abhishek Radhakrishnan
Pranav
Rishabh Singh
Gian Merlino
Laksh Singla
Vishesh Garg
Alexander Saydakov
Zoltan Haindrich