Follow up to #17137.
Instead of moving the streaming-only methods to the SeekableStreamSupervisor abstract class, this patch moves them to a separate StreamSupervisor interface. The reason is that the SeekableStreamSupervisor abstract class also has many other abstract methods. The StreamSupervisor interface on the other hand provides a minimal set of functions offering a good middle ground for any custom concrete implementation that doesn't require all the goodies from SeekableStreamSupervisor.
Extracting a few miscellaneous non-functional changes from the batch supervisor branch:
- Replace anonymous inner classes with lambda expressions in the SQL supervisor manager layer
- Add explicit @Nullable annotations in DynamicConfigProviderUtils to make IDE happy
- Small variable renames (copy-paste error perhaps) and fix typos
- Add table name for this exception message: Delete the supervisor from the table[%s] in the database...
- Prefer CollectionUtils.isEmptyOrNull() over list == null || list.size() > 0. We can change the Precondition checks to throwing DruidException separately for a batch of APIs at a time.
The current Supervisor interface is primarily focused on streaming use cases. However, as we introduce supervisors for non-streaming use cases, such as the recently added CompactionSupervisor (and the upcoming BatchSupervisor), certain operations like resetting offsets, checkpointing, task group handoff, etc., are not really applicable to non-streaming use cases.
So the methods are split between:
1. Supervisor: common methods that are applicable to both streaming and non-streaming use cases
2. SeekableStreamSupervisor: Supervisor + streaming-only operations. The existing streaming-only overrides exist along with the new abstract method public abstract LagStats computeLagStats(), for which custom implementations already exist in the concrete types
This PR is primarily a refactoring change with minimal functional adjustments (e.g., throwing an exception in a few places in SupervisorManager when the supervisor isn't the expected SeekableStreamSupervisor type).
Description
-----------
Coordinator logs are fairly noisy and don't give much useful information (see example below).
Even when the Coordinator misbehaves, these logs are not very useful.
Main changes
------------
- Add API `GET /druid/coordinator/v1/duties` that returns a status list of all duty groups currently running on the Coordinator
- Emit metrics `segment/poll/time`, `segment/pollWithSchema/time`, `segment/buildSnapshot/time`
- Remove redundant logs that indicate normal operation of well-tested aspects of the Coordinator
Refactors
---------
- Move some logic from `DutiesRunnable` to `CoordinatorDutyGroup`
- Move stats collection from `CollectSegmentAndServerStats` to `PrepareBalancerAndLoadQueues`
- Minor cleanup of class `DruidCoordinator`
- Clean up class `DruidCoordinatorRuntimeParams`
- Remove field `coordinatorStartTime`. Maintain start time in `MarkOvershadowedSegmentsAsUnused` instead.
- Remove field `MetadataRuleManager`. Pass supplier to constructor of applicable duties instead.
- Make `usedSegmentsNewestFirst` and `datasourcesSnapshot` as non-nullable as they are always required.
#16768 added the functionality to run compaction as a supervisor on the overlord.
This patch builds on top of that to restrict MSQ engine to compaction in the supervisor-mode only.
With these changes, users can no longer add MSQ engine as part of datasource compaction config,
or as the default cluster-level compaction engine, on the Coordinator.
The patch also adds an Overlord runtime property `druid.supervisor.compaction.engine=<msq/native>`
to specify the default engine for compaction supervisors.
Since these updates require major changes to existing MSQ compaction integration tests,
this patch disables MSQ-specific compaction integration tests -- they will be taken up in a follow-up PR.
Key changed/added classes in this patch:
* CompactionSupervisor
* CompactionSupervisorSpec
* CoordinatorCompactionConfigsResource
* OverlordCompactionScheduler
Introduced includeTrailerHeader to enable TrailerHeaders in response
If enabled, a header X-Error-Message will be added to indicate reasons for partial results.
Text-based input formats like csv and tsv currently parse inputs only as strings, following the RFC4180Parser spec).
To workaround this, the web-console and other tools need to further inspect the sample data returned to sample data returned by the Druid sampler API to parse them as numbers.
This patch introduces a new optional config, tryParseNumbers, for the csv and tsv input formats. If enabled, any numbers present in the input will be parsed in the following manner -- long data type for integer types and double for floating-point numbers, and if parsing fails for whatever reason, the input is treated as a string. By default, this configuration is set to false, so numeric strings will be treated as strings.
Parent issue: #14989
It is possible for the order of columns to vary across segments especially during realtime ingestion.
Since, the schema fingerprint is sensitive to column order this leads to creation of a large number of segment schema in the metadata database for essentially the same set of columns.
This is wasteful, this patch fixes this problem by computing schema fingerprint on lexicographically sorted columns. This would result in creation of a single schema in the metadata database with the first observed column order for a given signature.
Fixed vulnerabilities
CVE-2021-26291 : Apache Maven is vulnerable to Man-in-the-Middle (MitM) attacks. Various
functions across several files, mentioned below, allow for custom repositories to use the
insecure HTTP protocol. An attacker can exploit this as part of a Man-in-the-Middle (MitM)
attack, taking over or impersonating a repository using the insecure HTTP protocol.
Unsuspecting users may then have the compromised repository defined as a dependency in
their Project Object Model (pom) file and download potentially malicious files from it.
Was fixed by removing outdated tesla-aether library containing vulnerable maven-settings (v3.1.1) package, pull-deps utility updated to use maven resolver instead.
sonatype-2020-0244 : The joni package is vulnerable to Man-in-the-Middle (MitM) attacks.
This project downloads dependencies over HTTP due to an insecure repository configuration
within the .pom file. Consequently, a MitM could intercept requests to the specified
repository and replace the requested dependencies with malicious versions, which can execute
arbitrary code from the application that was built with them.
Was fixed by upgrading joni package to recommended 2.1.34 version
* BaseWorkerClientImpl: Don't attempt to recover from a closed channel.
This patch introduces an exception type "ChannelClosedForWritesException",
which allows the BaseWorkerClientImpl to avoid retrying when the local
channel has been closed. This can happen in cases of cancellation.
* Add some test coverage.
* wip
* Add test coverage.
* Style.
* QueryResource: Don't close JSON content on error.
Following similar issues fixed in #11685 and #15880, this patch fixes
a bug where QueryResource would write a closing array marker if it
encountered an exception after starting to push results. This makes it
difficult for callers to detect errors.
The prior patches didn't catch this problem because QueryResource uses
the ObjectMapper in a unique way, through writeValuesAsArray, which
doesn't respect the global AUTO_CLOSE_JSON_CONTENT setting.
* Fix usage of customized ObjectMappers.
This PR #16890 introduced a change to skip adding tombstone segments to the cache.
It turns out that as a side effect tombstone segments appear unavailable in the console. This happens because availability of a segment in Broker is determined from the metadata cache.
The fix is to keep the segment in the metadata cache but skip them from refresh.
This doesn't affect any functionality as metadata query for tombstone returns empty causing continuous refresh of those segments.
Tasks control the loading of broadcast datasources via BroadcastDatasourceLoadingSpec getBroadcastDatasourceLoadingSpec(). By default, tasks download all broadcast datasources, unless there's an override as with kill and MSQ controller task.
The CLIPeon command line option --loadBroadcastSegments is deprecated in favor of --loadBroadcastDatasourceMode.
Broadcast datasources can be specified in SQL queries through JOIN and FROM clauses, or obtained from other sources such as lookups.To this effect, we have introduced a BroadcastDatasourceLoadingSpec. Finding the set of broadcast datasources during SQL planning will be done in a follow-up, which will apply only to MSQ tasks, so they load only required broadcast datasources. This PR primarily focuses on the skeletal changes around BroadcastDatasourceLoadingSpec and integrating it from the Task interface via CliPeon to SegmentBootstrapper.
Currently, only kill tasks and MSQ controller tasks skip loading broadcast datasources.
Implements threshold based automatic query prioritization using the time period of the actual segments scanned. This differs from the current implementation of durationThreshold which uses the duration in the user supplied query. There are some usability constraints with using durationThreshold from the user supplied query, especially when using SQL. For example, if a client does not explicitly specify both start and end timestamps then the duration is extremely large and will always exceed the configured durationThreshold. This is one example interval from a query that specifies no end timestamp:
"interval":["2024-08-30T08:05:41.944Z/146140482-04-24T15:36:27.903Z"]. This interval is generated from a query like SELECT * FROM table WHERE __time > CURRENT_TIMESTAMP - INTERVAL '15' HOUR. Using the time period of the actual segments scanned allows proper prioritization without explicitly having to specify start and end timestamps. This PR adds onto #9493
Tasks that do not support querying or query processing i.e. supportsQueries = false do not require processing threads, processing buffers, and merge buffers.
* transition away from StorageAdapter
changes:
* CursorHolderFactory has been renamed to CursorFactory and moved off of StorageAdapter, instead fetched directly from the segment via 'asCursorFactory'. The previous deprecated CursorFactory interface has been merged into StorageAdapter
* StorageAdapter is no longer used by any engines or tests and has been marked as deprecated with default implementations of all methods that throw exceptions indicating the new methods to call instead
* StorageAdapter methods not covered by CursorFactory (CursorHolderFactory prior to this change) have been moved into interfaces which are retrieved by Segment.as, the primary classes are the previously existing Metadata, as well as new interfaces PhysicalSegmentInspector and TopNOptimizationInspector
* added UnnestSegment and FilteredSegment that extend WrappedSegmentReference since their StorageAdapter implementations were previously provided by WrappedSegmentReference
* added PhysicalSegmentInspector which covers some of the previous StorageAdapter functionality which was primarily used for segment metadata queries and other metadata uses, and is implemented for QueryableIndexSegment and IncrementalIndexSegment
* added TopNOptimizationInspector to cover the oddly specific StorageAdapter.hasBuiltInFilters implementation, which is implemented for HashJoinSegment, UnnestSegment, and FilteredSegment
* Updated all engines and tests to no longer use StorageAdapter
In the compaction config, a range type partitionsSpec supports setting one of maxRowsPerSegment and targetRowsPerSegment. When compaction is run with the native engine, while maxRowsPerSegment = x results in segments of size x, targetRowsPerSegment = y results in segments of size 1.5 * y.
MSQ only supports rowsPerSegment = x as part of its tuning config, the resulting segment size being approx. x -- which is in line with maxRowsPerSegment behaviour in native compaction.
This PR makes the following changes:
use effective maxRowsPerSegment to pass as rowsPerSegment parameter for MSQ
persist rowsPerSegment as maxRowsPerSegment in lastCompactionState for MSQ
Use effective maxRowsPerSegment-based range spec in CompactionStatus check for both Native and MSQ.
Description:
#16768 introduces new compaction APIs on the Overlord `/compact/status` and `/compact/progress`.
But the corresponding `OverlordClient` methods do not return an object compatible with the actual
endpoints defined in `OverlordCompactionResource`.
This patch ensures that the objects are compatible.
Changes:
- Add `CompactionStatusResponse` and `CompactionProgressResponse`
- Use these as the return type in `OverlordClient` methods and as the response entity in `OverlordCompactionResource`
- Add `SupervisorCleanupModule` bound on the Coordinator to perform cleanup of supervisors.
Without this module, Coordinator cannot deserialize compaction supervisors.
Currently, an alert is thrown while merging datasource schema with realtime
segment schema when the datasource schema already has update columns from the delta schema.
This isn't an error condition since the datasource schema can have those columns from a different segment.
One scenario in which this can occur is when multiple replicas for a task is run.
Currently compaction with MSQ engine doesn't work for rollup on multi-value dimensions (MVDs), the reason being the default behaviour of grouping on MVD dimensions to unnest the dimension values; for instance grouping on `[s1,s2]` with aggregate `a` will result in two rows: `<s1,a>` and `<s2,a>`.
This change enables rollup on MVDs (without unnest) by converting MVDs to Arrays before rollup using virtual columns, and then converting them back to MVDs using post aggregators. If segment schema is available to the compaction task (when it ends up downloading segments to get existing dimensions/metrics/granularity), it selectively does the MVD-Array conversion only for known multi-valued columns; else it conservatively performs this conversion for all `string` columns.
Bug: When coordinator period is less than 30s, `maxSegmentsToMove` is always computed as 0
irrespective of number of available threads.
Changes:
- Fix lower bound condition and set minimum value to 100.
- Add new test which fails without this fix
Description
-----------
Auto-compaction currently poses several challenges as it:
1. may get stuck on a failing interval.
2. may get stuck on the latest interval if more data keeps coming into it.
3. always picks the latest interval regardless of the level of compaction in it.
4. may never pick a datasource if its intervals are not very recent.
5. requires setting an explicit period which does not cater to the changing needs of a Druid cluster.
This PR introduces various improvements to compaction scheduling to tackle the above problems.
Change Summary
--------------
1. Run compaction for a datasource as a supervisor of type `autocompact` on Overlord.
2. Make compaction policy extensible and configurable.
3. Track status of recently submitted compaction tasks and pass this info to policy.
4. Add `/simulate` API on both Coordinator and Overlord to run compaction simulations.
5. Redirect compaction status APIs to the Overlord when compaction supervisors are enabled.
* Make IntelliJ's MethodIsIdenticalToSuperMethod an error
* Change codebase to follow new IntelliJ inspection
* Restore non-short-circuit boolean expressions to pass tests
* Place __time in signatures according to sort order.
Updates a variety of places to put __time in row signatures according
to its position in the sort order, rather than always first, including:
- InputSourceSampler.
- ScanQueryEngine (in the default signature when "columns" is empty).
- Various StorageAdapters, which also have the effect of reordering
the column order in segmentMetadata queries, and therefore in SQL
schemas as well.
Follow-up to #16849.
* Fix compilation.
* Additional fixes.
* Fix.
* Fix style.
* Omit nonexistent columns from the row signature.
* Fix tests.
* Segments primarily sorted by non-time columns.
Currently, segments are always sorted by __time, followed by the sort
order provided by the user via dimensionsSpec or CLUSTERED BY. Sorting
by __time enables efficient execution of queries involving time-ordering
or granularity. Time-ordering is a simple matter of reading the rows in
stored order, and granular cursors can be generated in streaming fashion.
However, for various workloads, it's better for storage footprint and
query performance to sort by arbitrary orders that do not start with __time.
With this patch, users can sort segments by such orders.
For spec-based ingestion, users add "useExplicitSegmentSortOrder: true" to
dimensionsSpec. The "dimensions" list determines the sort order. To
define a sort order that includes "__time", users explicitly
include a dimension named "__time".
For SQL-based ingestion, users set the context parameter
"useExplicitSegmentSortOrder: true". The CLUSTERED BY clause is then
used as the explicit segment sort order.
In both cases, when the new "useExplicitSegmentSortOrder" parameter is
false (the default), __time is implicitly prepended to the sort order,
as it always was prior to this patch.
The new parameter is experimental for two main reasons. First, such
segments can cause errors when loaded by older servers, due to violating
their expectations that timestamps are always monotonically increasing.
Second, even on newer servers, not all queries can run on non-time-sorted
segments. Scan queries involving time-ordering and any query involving
granularity will not run. (To partially mitigate this, a currently-undocumented
SQL feature "sqlUseGranularity" is provided. When set to false the SQL planner
avoids using "granularity".)
Changes on the write path:
1) DimensionsSpec can now optionally contain a __time dimension, which
controls the placement of __time in the sort order. If not present,
__time is considered to be first in the sort order, as it has always
been.
2) IncrementalIndex and IndexMerger are updated to sort facts more
flexibly; not always by time first.
3) Metadata (stored in metadata.drd) gains a "sortOrder" field.
4) MSQ can generate range-based shard specs even when not all columns are
singly-valued strings. It merely stops accepting new clustering key
fields when it encounters the first one that isn't a singly-valued
string. This is useful because it enables range shard specs on
"someDim" to be created for clauses like "CLUSTERED BY someDim, __time".
Changes on the read path:
1) Add StorageAdapter#getSortOrder so query engines can tell how a
segment is sorted.
2) Update QueryableIndexStorageAdapter, IncrementalIndexStorageAdapter,
and VectorCursorGranularizer to throw errors when using granularities
on non-time-ordered segments.
3) Update ScanQueryEngine to throw an error when using the time-ordering
"order" parameter on non-time-ordered segments.
4) Update TimeBoundaryQueryRunnerFactory to perform a segment scan when
running on a non-time-ordered segment.
5) Add "sqlUseGranularity" context parameter that causes the SQL planner
to avoid using granularities other than ALL.
Other changes:
1) Rename DimensionsSpec "hasCustomDimensions" to "hasFixedDimensions"
and change the meaning subtly: it now returns true if the DimensionsSpec
represents an unchanging list of dimensions, or false if there is
some discovery happening. This is what call sites had expected anyway.
* Fixups from CI.
* Fixes.
* Fix missing arg.
* Additional changes.
* Fix logic.
* Fixes.
* Fix test.
* Adjust test.
* Remove throws.
* Fix styles.
* Fix javadocs.
* Cleanup.
* Smoother handling of null ordering.
* Fix tests.
* Missed a spot on the merge.
* Fixups.
* Avoid needless Filters.and.
* Add timeBoundaryInspector to test.
* Fix tests.
* Fix FrameStorageAdapterTest.
* Fix various tests.
* Use forceSegmentSortByTime instead of useExplicitSegmentSortOrder.
* Pom fix.
* Fix doc.
changes:
* Added `CursorBuildSpec` which captures all of the 'interesting' stuff that goes into producing a cursor as a replacement for the method arguments of `CursorFactory.canVectorize`, `CursorFactory.makeCursor`, and `CursorFactory.makeVectorCursor`
* added new interface `CursorHolder` and new interface `CursorHolderFactory` as a replacement for `CursorFactory`, with method `makeCursorHolder`, which takes a `CursorBuildSpec` as an argument and replaces `CursorFactory.canVectorize`, `CursorFactory.makeCursor`, and `CursorFactory.makeVectorCursor`
* `CursorFactory.makeCursors` previously returned a `Sequence<Cursor>` corresponding to the query granularity buckets, with a separate `Cursor` per bucket. `CursorHolder.asCursor` instead returns a single `Cursor` (equivalent to 'ALL' granularity), and a new `CursorGranularizer` has been added for query engines to iterate over the cursor and divide into granularity buckets. This makes the non-vectorized engine behave the same way as the vectorized query engine (with its `VectorCursorGranularizer`), and simplifies a lot of stuff that has to read segments particularly if it does not care about bucketing the results into granularities.
* Deprecated `CursorFactory`, `CursorFactory.canVectorize`, `CursorFactory.makeCursors`, and `CursorFactory.makeVectorCursor`
* updated all `StorageAdapter` implementations to implement `makeCursorHolder`, transitioned direct `CursorFactory` implementations to instead implement `CursorMakerFactory`. `StorageAdapter` being a `CursorMakerFactory` is intended to be a transitional thing, ideally will not be released in favor of moving `CursorMakerFactory` to be fetched directly from `Segment`, however this PR was already large enough so this will be done in a follow-up.
* updated all query engines to use `makeCursorHolder`, granularity based engines to use `CursorGranularizer`.
* Fix build
* Run coldSchemaExec thread periodically
* Bugfix: Run cold schema refresh periodically
* Rename metrics for deep storage only segment schema process
Bug description:
Peons to fail to start up when `WorkerTaskCountStatsMonitor` is used on MiddleManagers.
This is because MiddleManagers pass on their properties to peons and peons are unable to
find `IndexerTaskCountStatsProvider` as that is bound only for indexer nodes.
Fix:
Check if node is an indexer before trying to get instance of `IndexerTaskCountStatsProvider`.
Fixes#13936
In cases where a supervisor is idle and the overlord is restarted for some reason, the supervisor would
start spinning tasks again. In clusters where there are many low throughput streams, this would spike
the task count unnecessarily.
This commit compares the latest stream offset with the ones in metadata during the startup of supervisor
and sets it to idle state if they match.
Adds a configuration clientConnectTimeout to our http client config which controls the connection timeout for our http client requests.
It was observed that on busy K8S clusters, the default connect timeout of 500ms is sometimes not enough time to complete syn/acks for a request and in these cases, the requests timeout with the error:
exceptionType=java.net.SocketTimeoutException, exceptionMessage=Connect Timeout
This behavior was mostly observed on the router while forwarding queries to the broker.
Having a slightly higher connect timeout helped resolve these issues.
This PR adds checks for verification of DataSourceCompactionConfig and CompactionTask with msq engine to ensure:
each aggregator in metricsSpec is idempotent
metricsSpec is non-null when rollup is set to true
Unit tests and existing compaction ITs have been updated accordingly.
Background:
ZK-based segment loading has been completely disabled in #15705 .
ZK `servedSegmentsPath` has been deprecated since Druid 0.7.1, #1182 .
This legacy path has been replaced by the `liveSegmentsPath` and is not used in the code anymore.
Changes:
- Never create ZK loadQueuePath as it is never used.
- Never create ZK servedSegmentsPath as it is never used.
- Do not create ZK liveSegmentsPath if announcement on ZK is disabled
- Fix up tests
* enables to launch a fake broker based on test resources (druidtest uri)
* could record queries into new testfiles during usage
* instead of re-purpose Calcite's Hook migrates to use DruidHook which we can add further keys
* added a quidem-ut module which could be the place for tests which could iteract with modules/etc
This PR adds indexer-level task metrics-
"indexer/task/failed/count"
"indexer/task/success/count"
the current "worker/task/completed/count" metric shows all the tasks completed irrespective of success or failure status so these metrics would help us get more visibility into the status of the completed tasks
Shivam Garg
Abhishek Radhakrishnan
Kashif Faraz
Vishesh Garg
Vivek Dhiman
Rishabh Singh
Laksh Singla
Misha
Gian Merlino
Clint Wylie
Adithya Chakilam
Pranav
aho135
Abhishek Agarwal
Virushade
Maytas Monsereenusorn
Rushikesh Bankar
Zoltan Haindrich
Atul Mohan