The segment allocation algorithm reuses an already allocated pending segment if the new allocation request is made for the same parameters:
datasource
sequence name
same interval
same value of skipSegmentLineageCheck (false for batch append, true for streaming append)
same previous segment id (used only when skipSegmentLineageCheck = false)
The above parameters can thus uniquely identify a pending segment (enforced by the UNIQUE constraint on the sequence_name_prev_id_sha1 column in druid_pendingSegments metadata table).
This reuse is done in order to
allow replica tasks (in case of streaming ingestion) to use the same set of segment IDs.
allow re-run of a failed batch task to use the same segment ID and prevent unnecessary allocations
The PR addresses 2 things:
Add MSQ durable storage connector for GCS
Change GCS client library from the old Google API Client Library to the recommended Google Cloud Client Library. Ref: https://cloud.google.com/apis/docs/client-libraries-explained
* Upgrade org.pac4j:pac4j-oidc to 4.5.5 to address CVE-2021-44878
* add CVE suppression and notes, since vulnerability scan still shows this CVE
* Add tests to improve coverage
* Optional removal of metrics from Prometheus PushGateway on shutdown
* Make pushGatewayDeleteOnShutdown property nullable
* Add waitForShutdownDelay property
* Fix unit test
* Address PR comments
* Address PR comments
* Add explanation on why it is useful to have deletePushGatewayMetricsOnShutdown
* Fix spelling error
* Fix spelling error
This PR updates the tag present in pom.xml to match the druid version in pom.xml
This was last updated in 0da8ffc
It seems to me like this was missed in further Druid version upgrades.
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>
This PR builds on #13304 to skip compaction for datasources with segments that have their interval start or end coinciding with Eternity interval end-points.
This is needed in order to prevent an issue similar to #13208 as the Coordinator tries to iterate over a large number of intervals when trying to compact an interval with infinite start or end.
The website pom was removed as part of
https://github.com/apache/druid/pull/14411 so we no longer need to
reference it as a module and the profile can be removed.
Dependabot is currently failing trying to look for this module, so
removing it should also fix that.
### Description
This pr adds an api for retrieving unused segments for a particular datasource. The api supports pagination by the addition of `limit` and `lastSegmentId` parameters. The resulting unused segments are returned with optional `sortOrder`, `ASC` or `DESC` with respect to the matching segments `id`, `start time`, and `end time`, or not returned in any guarenteed order if `sortOrder` is not specified
`GET /druid/coordinator/v1/datasources/{dataSourceName}/unusedSegments?interval={interval}&limit={limit}&lastSegmentId={lastSegmentId}&sortOrder={sortOrder}`
Returns a list of unused segments for a datasource in the cluster contained within an optionally specified interval.
Optional parameters for limit and lastSegmentId can be given as well, to limit results and enable paginated results.
The results may be sorted in either ASC, or DESC order depending on specifying the sortOrder parameter.
`dataSourceName`: The name of the datasource
`interval`: the specific interval to search for unused segments for.
`limit`: the maximum number of unused segments to return information about. This property helps to
support pagination
`lastSegmentId`: the last segment id from which to search for results. All segments returned are > this segment
lexigraphically if sortOrder is null or ASC, or < this segment lexigraphically if sortOrder is DESC.
`sortOrder`: Specifies the order with which to return the matching segments by start time, end time. A null
value indicates that order does not matter.
This PR has:
- [x] been self-reviewed.
- [ ] using the [concurrency checklist](https://github.com/apache/druid/blob/master/dev/code-review/concurrency.md) (Remove this item if the PR doesn't have any relation to concurrency.)
- [x] added documentation for new or modified features or behaviors.
- [ ] a release note entry in the PR description.
- [x] added Javadocs for most classes and all non-trivial methods. Linked related entities via Javadoc links.
- [ ] added or updated version, license, or notice information in [licenses.yaml](https://github.com/apache/druid/blob/master/dev/license.md)
- [x] added comments explaining the "why" and the intent of the code wherever would not be obvious for an unfamiliar reader.
- [x] added unit tests or modified existing tests to cover new code paths, ensuring the threshold for [code coverage](https://github.com/apache/druid/blob/master/dev/code-review/code-coverage.md) is met.
- [ ] added integration tests.
- [x] been tested in a test Druid cluster.
* Add initial draft of MarkDanglingTombstonesAsUnused duty.
* Use overshadowed segments instead of all used segments.
* Add unit test for MarkDanglingSegmentsAsUnused duty.
* Add mock call
* Simplify code.
* Docs
* shorter lines formatting
* metric doc
* More tests, refactor and fix up some logic.
* update javadocs; other review comments.
* Make numCorePartitions as 0 in the TombstoneShardSpec.
* fix up test
* Add tombstone core partition tests
* Update docs/design/coordinator.md
Co-authored-by: 317brian <53799971+317brian@users.noreply.github.com>
* review comment
* Minor cleanup
* Only consider tombstones with 0 core partitions
* Need to register the test shard type to make jackson happy
* test comments
* checkstyle
* fixup misc typos in comments
* Update logic to use overshadowed segments
* minor cleanup
* Rename duty to eternity tombstone instead of dangling. Add test for full eternity tombstone.
* Address review feedback.
---------
Co-authored-by: 317brian <53799971+317brian@users.noreply.github.com>
Query with lookups in FilteredAggregator fails with this exception in router,
Cannot construct instance of `org.apache.druid.query.aggregation.FilteredAggregatorFactory`, problem: Lookup [campaigns_lookup[campaignId][is_sold][autodsp]] not found at [Source: (org.eclipse.jetty.server.HttpInputOverHTTP); line: 1, column: 913] (through reference chain: org.apache.druid.query.groupby.GroupByQuery["aggregations"]->java.util.ArrayList[1])
T
he problem is that constructor of FilteredAggregatorFactory is actually validating if the lookup exists in this statement dimFilter.toFilter().
This is failing on the router, which is to be expected, because, the router isn’t assigned any lookups.
The fix is to move to a lazy initialisation of the filter object in the constructor.
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
Description
With CentralizedDatasourceSchema (#14989) feature enabled, metadata for appended segments was not being refreshed. This caused numRows to be 0 for the new segments and would probably cause the datasource schema to not include columns from the new segments.
Analysis
The problem turned out in the new QuerySegmentWalker implementation in the Coordinator. It first finds the segment to be queried in the Coordinator timeline. Then it creates a new timeline of the segments present in the timeline.
The problem was that it is looking up complete partition set in the new timeline. Since the appended segments by themselves do not make a complete partition set, no SegmentMetadataQuery were executed.
It wasn't checking the column name, so it would return a domain regardless
of the input column. This means that null filters on data sources with range
partitioning would lead to excessive pruning of segments, and therefore
missing results.
Several dependabot ignore directives are no longer relevant. Unpin them
to ensure we get again get timely updates via dependabot.
* support for Hadoop 2 was dropped as part of #14763
* Guava was upgraded to 31 as part of #14767
* Calcite was upgraded to 1.35 as part of #14510
Kashif Faraz
Vishesh Garg
AlbericByte
Soumyava
Pranav
Clint Wylie
Vadim Ogievetsky
zachjsh
Keerthana Srikanth
Bartosz Mikulski
Zoltan Haindrich
AmatyaAvadhanula
Parth Agrawal
Jan Werner
Xavier Léauté
Ankit Kothari
TestBoost
George Shiqi Wu
Katya Macedo
Abhishek Radhakrishnan
Rishabh Singh
Victoria Lim
Adarsh Sanjeev
sb89594
Charles Smith
Benjamin Hopp
Gian Merlino