Add SegmentAllocationQueue to batch allocation actions #13369

kfaraz · 2022-11-15T14:35:48Z

Description

In a cluster with a large number of streaming tasks (~1000), SegmentAllocateActions on the overlord can often take very long intervals of time to finish thus causing spikes in the task/action/run/time. This may result in lag building up while a task waits for a segment to get allocated.

The root causes are:

large number of metadata calls made to the segments and pending segments tables
giant lock held in TaskLockbox.tryLock() to acquire task locks and allocate segments

Since the contention typically arises when several tasks of the same datasource try to allocate segments for the same interval/granularity, the allocation run times can be improved by batching the requests together.

Changes

Broad strokes

Add flags
- druid.indexer.tasklock.batchSegmentAllocation (default false)
- druid.indexer.tasklock.batchAllocationMaxWaitTime (in millis) (default 1000)
Put a bound on the amount of time an allocation action can take by configuring the batchAllocationMaxWaitTime
Add SegmentAllocationQueue to queue and batch allocate actions
Identify a batch uniquely with these fields
- dataSource
- groupId
- preferredAllocationInterval
- skipSegmentLineageCheck
- useNonRootGenerationPartitionSpace (as a proxy for PartialShardSpec.getClass())
- lockGranularity
Metadata calls are now batched
giant lock is acquired just once per batch per tryInterval in TaskLockbox
Rest of the behaviour (order of steps, retries, etc.) in the new flow remains exactly the same as the old flow

Adding a request

Add methods canPerformAsync and performAsync to TaskAction
performAsync currently throws an UnsupportedOperationException for other action types
Submit each allocate action to a SegmentAllocationQueue
Add the action to a batch and execute it when it is due

Processing a request batch

Wait for batchAllocationMaxWaitTime before processing a batch
Send all requests in the batch to TaskLockbox to acquire task locks and allocate segments
Respond to leadership changes and fail items in queue when not leader
Emit batch and request level metrics

Allocating segments

Add TaskLockbox.allocateSegments() retaining the logic from TaskLockbox.tryLock()
Add IndexerMetadataStorageCoordinator.allocatePendingSegments() retaining the logic from allocatePendingSegment()

New metrics

Per batch (dims: dataSource, taskActionType=segmentAllocate):

task/action/batch/runTime
task/action/batch/queueTime
task/action/batch/size
task/action/batch/attempts

Per request (dims: taskId, taskType, dataSource, taskActionType=segmentAllocate):

task/action/failed/count
task/action/success/count

Pending changes

Docs for metrics
Perf eval of new flow against old flow

Further improvements

An improvement could be to free up the HTTP threads on which the request is received by using HttpServletRequest.startAsync(). This would allow batching of even more requests.
An improvement could be to free up the HTTP threads on which the request is received by using HttpServletRequest.startAsync().
There are some metadata queries which have not been batched in this PR such as updating the acquired task lock in the metadata store and fetching a matching pending when skipLineageCheck = false.

Release note

Speed up segment allocation and reduce metadata calls by clubbing multiple requests together.
Set druid.indexer.tasklock.batchSegmentAllocation=true to enable this feature.

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…a store

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AmatyaAvadhanula · 2022-11-29T13:56:24Z

...g-service/src/main/java/org/apache/druid/indexing/common/actions/SegmentAllocationQueue.java

+    final Set<DataSegment> usedSegments = retrieveUsedSegments(requestKey);
+    final int successCount = allocateSegmentsForBatch(requestBatch, usedSegments);
+
+    emitBatchMetric("task/action/batch/retries", 1L, requestKey);


nit: task/action/batch/attempts seems more accurate

Thanks! Yeah, I had originally used attempts but then moved the code around a bit and this got missed.

AmatyaAvadhanula · 2022-11-29T14:00:43Z

...g-service/src/main/java/org/apache/druid/indexing/common/actions/SegmentAllocationQueue.java

+      return true;
+    }
+
+    // Requeue the batch only if used segments have changed


Could you please explain a bit more about this?

This is to retain behaviour from the existing flow. If the set of used segments has changed since we started processing the request, it's possible that retrying might make it pass.

druid/indexing-service/src/main/java/org/apache/druid/indexing/common/actions/SegmentAllocateAction.java

Line 223 in 79df11c

if (!newUsedSegmentsForRow.equals(usedSegmentsForRow)) {

AmatyaAvadhanula · 2022-11-29T14:32:17Z

indexing-service/src/main/java/org/apache/druid/indexing/overlord/TaskLockbox.java

+        holderList.getPending().forEach(holder -> acquireTaskLock(holder, false));
+      }
+
+      // TODO: for failed allocations, cleanup newly created locks from the posse map


Does this need to be addressed as part of these changes?

Yeah, let me check this. If not done, this might leave some garbage locks in the posse map.

...g-service/src/main/java/org/apache/druid/indexing/common/actions/SegmentAllocationQueue.java

abhishekagarwal87 · 2022-11-21T11:32:19Z

...g-service/src/main/java/org/apache/druid/indexing/common/actions/SegmentAllocationQueue.java

+        emitTaskMetric("task/action/success/count", 1L, request);
+        requestToFuture.remove(request).complete(result.getSegmentId());
+      } else if (request.canRetry()) {
+        log.debug(


this should be info or warn I think. If the retry is causing a delay, we will only know it from logs.

abhishekagarwal87 · 2022-11-21T11:33:27Z

indexing-service/src/main/java/org/apache/druid/indexing/overlord/TaskLockbox.java

+        holderList.getPending().forEach(holder -> acquireTaskLock(holder, false));
+      }
+
+      // TODO: for failed allocations, cleanup newly created locks from the posse map


can this todo be resolved?

I need to verify if this is an actual issue. Also, this behaviour is the same in the old flow too.
I think I should tackle this in an immediate follow up PR, so that this PR just adds the new flow without modifying any behaviour.

abhishekagarwal87 · 2022-11-29T14:42:18Z

...g-service/src/main/java/org/apache/druid/indexing/common/actions/SegmentAllocationQueue.java

+      log.debug("Added a new batch [%s] to queue.", batch.key);
+      return true;
+    } else {
+      log.warn("Cannot add batch [%s] as queue is full. Failing [%d] requests.", batch.key, batch.size());


what happens as a result of this? I assume it will be caused when the metadata store is slow. can there be any other reason? should we add some possible corrective action here like checking metadata store sizing?

It can also happen when things keep getting retried, due to frequent updates to the set of used segments. It would be up to the client to retry in such cases.

The action can be to look at the emitted metrics batch/runTime and batch/attempts. A greater value of the first would be caused by metadata slowness, the second is retries. The user can then determine if the metadata store needs resizing. What do you think?

abhishekagarwal87 · 2022-11-29T14:50:29Z

...g-service/src/main/java/org/apache/druid/indexing/common/actions/SegmentAllocationQueue.java

+    if (!isLeader.get()) {
+      return;
+    }


is this necessary? what if some items were added to the queue just before line 225?

I guess that is not likely to happen. New items are rejected if we are not the leader.
But maybe it could happen if the leader is flapping?

t1: we are not leader, we clear the queue

t2: become leader

t3: add a request

t4: stop being leader

t1: we are not leader, return
the request added by t3 will thus remain stuck in the queue, until we become leader again and process it. The future will timeout after 5 minutes.

A simpler alternative to all of this can be to have the leadership check done for each batch separately in processBatch (this check should probably exist anyway). If not leader, fail it there.

The differences would be:

even non-leaders would keep polling the queue

requests would wait until their due time to be failed

Please let me know what you think.

abhishekagarwal87 · 2022-11-29T14:53:54Z

...g-service/src/main/java/org/apache/druid/indexing/common/actions/SegmentAllocationQueue.java

+        ++numProcessedBatches;
+      }
+      catch (Throwable t) {
+        processed = true;


well there could be db failures for example. If we don't retry, we should surface the failure to the caller.

AmatyaAvadhanula · 2022-11-30T05:31:11Z

server/src/main/java/org/apache/druid/metadata/IndexerSQLMetadataStorageCoordinator.java

+
+    for (SegmentCreateRequest request : requests) {
+      // Check if the required segment has already been created in this batch
+      final String sequenceHash = getSequenceNameAndPrevIdSha(request, interval, skipSegmentLineageCheck);


When can this occur?
Also, SegmentCreateRequest states that requests must be treated distinctly even if all fields are the same.

Multiple requests for the same segment, in the case of task replicas, I should think.

SegmentCreateRequest states that requests must be treated distinctly even if all fields are the same.

The SegmentCreateRequest is different, the segment id created is not different.

AmatyaAvadhanula · 2022-11-30T05:37:35Z

server/src/main/java/org/apache/druid/metadata/IndexerSQLMetadataStorageCoordinator.java

+    // If there is an existing chunk, find the max id with the same version as the existing chunk.
+    // There may still be a pending segment with a higher version (but no corresponding used segments)
+    // which may generate a clash with an existing segment once the new id is generated
+    final SegmentIdWithShardSpec overallMaxId =


The overallMaxId is computed assuming that committedMaxId has already added to the set of pendingSegments.
I think it's better to not make that assumption and add committedMaxId explicitly in this method

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kfaraz · 2022-12-01T07:42:19Z

@AmatyaAvadhanula , @abhishekagarwal87 , thanks for the review. I have addressed your feedback.

Changes made:

Queue polling is now always active irrespective of being leader or not. This can be improved later if needed.
Queue polling starts on lifecycle start and not on becoming leader.
A future now either completes successfully or exceptionally, i.e. it never completes with null. This allows propagation of actual error message to the caller. Added tests for this.
Clarify usage of committedMaxId in the set of pendingSegments
Rename metric batch/retries to batch/attempts

Changes in follow up PR:

docs (mostly just metrics)
cleanup of empty locks from posse map (both old and new flow)
limit number of requests in each batch
cancel the future if it times out on LocalTaskActionClient

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AmatyaAvadhanula · 2022-12-02T03:42:56Z

...g-service/src/main/java/org/apache/druid/indexing/common/actions/SegmentAllocationQueue.java

+      final Map<Interval, List<SegmentAllocateRequest>> overlapIntervalToRequests = new HashMap<>();
+
+      for (SegmentAllocateRequest request : allRequests) {
+        // If there is an overlapping used segment, the interval of the used segment


The allocation for a single segment considers overlap with queryGranularity.bucket(row.timestamp())
This code fetches all used segments overlapping with segmentGranularity.bucket(row.timestamp()). I think this could lead to a case where the row is allocated to a used segment interval to which it doesn't belong

The used segments are fetched for the allocate interval (segmentGranularity.bucket(row.timestamp())) so that we don't have to make the metadata call multiple times.
The logic hasn't changed because we use the rowInterval (queryGranularity.bucket(row.timestamp())) to find the actual overlapping interval. Please look at the line after this.

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kfaraz · 2022-12-05T04:31:55Z

All unit and integration tests have run successfully with segment allocation enabled in test PR #13484 .
There was only one flaky test. I couldn't retry that test due to some Travis access issues.

AmatyaAvadhanula

Thank you @kfaraz. LGTM

kfaraz · 2022-12-05T08:22:33Z

Merging as build is green. Latest commit is only comment change.

) In a cluster with a large number of streaming tasks (~1000), SegmentAllocateActions on the overlord can often take very long intervals of time to finish thus causing spikes in the `task/action/run/time`. This may result in lag building up while a task waits for a segment to get allocated. The root causes are: - large number of metadata calls made to the segments and pending segments tables - `giant` lock held in `TaskLockbox.tryLock()` to acquire task locks and allocate segments Since the contention typically arises when several tasks of the same datasource try to allocate segments for the same interval/granularity, the allocation run times can be improved by batching the requests together. Changes - Add flags - `druid.indexer.tasklock.batchSegmentAllocation` (default `false`) - `druid.indexer.tasklock.batchAllocationMaxWaitTime` (in millis) (default `1000`) - Add methods `canPerformAsync` and `performAsync` to `TaskAction` - Submit each allocate action to a `SegmentAllocationQueue`, and add to correct batch - Process batch after `batchAllocationMaxWaitTime` - Acquire `giant` lock just once per batch in `TaskLockbox` - Reduce metadata calls by batching statements together and updating query filters - Except for batching, retain the whole behaviour (order of steps, retries, etc.) - Respond to leadership changes and fail items in queue when not leader - Emit batch and request level metrics

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…13493) In a cluster with a large number of streaming tasks (~1000), SegmentAllocateActions on the overlord can often take very long intervals of time to finish thus causing spikes in the `task/action/run/time`. This may result in lag building up while a task waits for a segment to get allocated. The root causes are: - large number of metadata calls made to the segments and pending segments tables - `giant` lock held in `TaskLockbox.tryLock()` to acquire task locks and allocate segments Since the contention typically arises when several tasks of the same datasource try to allocate segments for the same interval/granularity, the allocation run times can be improved by batching the requests together. Changes - Add flags - `druid.indexer.tasklock.batchSegmentAllocation` (default `false`) - `druid.indexer.tasklock.batchAllocationMaxWaitTime` (in millis) (default `1000`) - Add methods `canPerformAsync` and `performAsync` to `TaskAction` - Submit each allocate action to a `SegmentAllocationQueue`, and add to correct batch - Process batch after `batchAllocationMaxWaitTime` - Acquire `giant` lock just once per batch in `TaskLockbox` - Reduce metadata calls by batching statements together and updating query filters - Except for batching, retain the whole behaviour (order of steps, retries, etc.) - Respond to leadership changes and fail items in queue when not leader - Emit batch and request level metrics

Add SegmentAllocationQueue to batch allocation actions

fd20a2f

kfaraz added Performance Design Review Area - Ingestion labels Nov 15, 2022

kfaraz requested review from gianm and rohangarg November 15, 2022 14:42

Retain old code in SegmentAllocateAction

54fa8cc

kfaraz added the WIP label Nov 16, 2022

kfaraz added 9 commits November 16, 2022 11:00

Add tests, fix concurrency bugs

401e04a

Fix bugs, update test

8882596

Fix tests and bugs

da36e53

Fix bug

d4de20b

Put new flow behind a feature flag

8f45a9c

Fix forbidden api usage

ab26658

Remove forbidden API usage

5c687ce

Fix compilation error due to GuardedBy

a9574f5

Revert suspicious indentation

0524e83

kfaraz added 3 commits November 17, 2022 07:49

Fix problematic use of leaderSelector.registerListener

22ca1f3

Schedule queue processing only if batching is enabled

bdad64d

Remove unused method

b546f6c

kfaraz added 4 commits November 17, 2022 23:25

Batch requests of same task group, same allocation interval

ea0b96f

Add failed metric

f6b8f77

Fix possible concurrent modification bug

c5862e7

Fix interval search

4c66afd

Deduplicate requests while creating new segments and updating metadat…

e07e852

…a store

Mark success and failure correctly

829628c

Fix interval search

295e96d

AmatyaAvadhanula reviewed Nov 29, 2022

View reviewed changes

abhishekagarwal87 reviewed Nov 29, 2022

View reviewed changes

Merge branch 'master' of github.com:apache/druid into seg_alloc_queue

a03ba2e

AmatyaAvadhanula reviewed Nov 30, 2022

View reviewed changes

Fix behaviour on being elected leader

0d09a6e

AmatyaAvadhanula reviewed Dec 2, 2022

View reviewed changes

Fix tests

c132748

kfaraz added 2 commits December 2, 2022 18:26

Keep keys in queue rather than the batch

d472152

Set default batchAllocationMaxWaitTime to 500ms

29bc0d4

AmatyaAvadhanula approved these changes Dec 5, 2022

View reviewed changes

abhishekagarwal87 approved these changes Dec 5, 2022

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Update comments

88c4cca

kfaraz merged commit 45a8fa2 into apache:master Dec 5, 2022

kfaraz mentioned this pull request Dec 5, 2022

[Backport] Add SegmentAllocationQueue to batch SegmentAllocateActions (#13369) #13493

Merged

kfaraz mentioned this pull request Dec 6, 2022

Limit max batch size for segment allocation, add docs #13503

Merged

kfaraz mentioned this pull request Dec 18, 2022

[Draft] 25.0.0 Release Notes #13592

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kfaraz deleted the seg_alloc_queue branch May 3, 2023 15:49

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Add SegmentAllocationQueue to batch allocation actions #13369

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Add SegmentAllocationQueue to batch allocation actions #13369

Add SegmentAllocationQueue to batch allocation actions #13369

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kfaraz commented Nov 15, 2022 • edited Loading

Description

Changes

Broad strokes

Adding a request

Processing a request batch

Allocating segments

New metrics

Pending changes

Further improvements

Release note

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