Add auto force merge functionality to DLM #95204

masseyke · 2023-04-12T23:06:45Z

This adds automatic force merging for indices in data streams that are being managed by DLM. The calls to force merge happen if an index (1) is not the current write index, (2) has not been rolled over in this DLM run, (3) and has not been previously force merged. The second requirement is so that we don't force merge an index that is still likely to be writing some data.
We are not specifying a number of segments for the force merge, so the force merge does not actually do a lot right now (because lucene will have been merging segments all along). But it puts us in position to take advantage of planned future work in force merge.
There is no configuration required, and this call to force merge happens automatically every time DLM runs.
Note that right now we are writing a "begin" marker in the cluster state before force merging an index, and a "complete" marker once it is complete. We use the begin marker so that we don't try to force merge an index more than once, since sometimes a force merge can take a significant amount of time. The complete marker is currently unused, but I have put it in because it seems like it could be useful for future alerting ( for example if we detect that some index began force merging X days ago but never completed it we probably need to alert someone that manual intervention is needed).

Relates to #93596

elasticsearchmachine · 2023-04-12T23:07:43Z

Hi @masseyke, I've created a changelog YAML for you.

…asticsearch into feature/DLM-auto-force-merge

elasticsearchmachine · 2023-04-26T22:16:22Z

Pinging @elastic/es-data-management (Team:Data Management)

andreidan

Thanks for working on this Keith, I've left a few comments I'm curios what you think about

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

andreidan · 2023-04-28T09:53:30Z

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

+ }
+ };
+
+ setForceMergeMarkerBegin(targetIndex, forceMergeRunningListener);


I'd like to propose we do NOT use a begin marker.

I think this will simplify the design tremendously (i.e. we would not need the unsetForceMergeMarker method at all) and I don't think we need it.

The begin marker is meant to avoid a double execution of forcemerge. But we already have the resultDeduplicator to achieve this already (we can just run the same forcemerge request through it on each DLM run and whilst one is in progress the request will not be (re)executed)

As long as a node stays as master, channelling the forcemerge request through the deduplicator will make sure we don't begin the forcemerge request multiple times for the same index.
On master failover we'll trigger forcemerge again (as we'll have an empty result deduplicator). I think this is fine given we do not forcemerge to 1 segment.

Even if we keep the begin forcemerge cluster marker, on master failover we'll need to re-trigger forcemerge anyway as we wouldn't have any information on the forcemerge operation actually being started (or completed) by the previous master node (we'd just now that there's a marker in the cluster state).

My proposal here is to simply channel the forcemerge request through the result deduplicator.

I'd say we could keep configuring end of forcemerge timestamp value in the cluster state (this will be useful in the future when we add new operations after forcemerge) but at this stage even that could be avoided (if we do decide to keep it I think we should only remove the forcemerge request from the deduplicator after we update the cluster state to include the end of forcemerge timestamp)

What do you think?

@dakrone I'd be interested what you think on this as well

Putting in the begin marker came out of my paranoia from seeing some very long-running (multi day) force merges in production. Those were merges to a single segment, and this is not. But I wasn't really sure how the performance would be with the updated force merge that @jpountz is planning on. If it's always going to be minutes or less then what you're saying makes sense to me. If there's a chance it could be hours or days then I'm not as sure.

@masseyke I don't think the initial cluster state update to configure the marker would help us more than the deduplicator already does - after a master failover just detecting the cluster state maker from a previous master node that ran DLM would not be able to tell us if forcemerge completed - just as with the deduplicator - so we would have to trigger the forcemerge again anyway via the DLM service running on the new master - just as we'd do had we just used the deduplicator.

We definitely have to have some marker in the cluster state right? Unlike a delete (where the index is just gone), there's no way to tell whether an index has been previously force merged. Although maybe there's no harm in force merging an index that has already been force merged on master restart? It would essentially be a no-op, and it might be only a little slower than a cluster state read. I'm leaning toward leaving it though.
I can remove the begin timestamp -- we can always add it back in the future if we need to.

++ the end of operation marker (as a timestamp) makes sense.
However, we should not remove the forcemerge request from the deduplicator until the cluster state update that sets the end of forcemerge timestamp is completed.

OK that's all done now.

masseyke · 2023-05-03T19:08:42Z

Another possibility would be to keep the "begin" flag, but use it as an "invocation counter" for the number of times the force merge has been invoked

I changed it so that it's a counter that's only incremented and written to the cluster state on exception (rather than at the beginning) so that we have fewer cluster state writes (only the completion timestamp in the normal case).

masseyke · 2023-05-03T19:09:27Z

If we do get rid of the beginning flag, maybe we can mock something up to make sure the deduplicator works from a test

I added a dedup test that fails without the equals/hascode fixes.

andreidan

Thanks for iterating on this Keith.

Left a few suggestions

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

andreidan · 2023-05-05T11:21:09Z

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

+
+ @Override
+ public void onFailure(Exception e) {
+ if (e instanceof SnapshotInProgressException) {


I don't think snapshotting an index causes forcemerge to fail (nor vice-versa). Is there a particular failure you have in mind here?

I was blindly copying the delete code. Now that you mention it, it makes no sense. Oops. I'll remove that.

andreidan · 2023-05-05T11:30:23Z

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

+ * process. And it writes another marker in the cluster state upon completion of the force merge.
+ */
+ private void maybeExecuteForceMerge(ClusterState state, DataStream dataStream, Set<Index> indicesToExclude) {
+ List<Index> readOnlyIndices = dataStream.getIndices().stream().filter(index -> indicesToExclude.contains(index) == false).toList();


read only indices would imply they have read_only: true. Should we rename this to something else? Maybe just backingIndices?

We could even remove some of the responsibilities of this method and have it just the indices that it attempts to forcemerge?

It makes sense to me in that it's shorthand for "indices that we don't think will be getting any more writes and also aren't in the process of being deleted". I'll shorten it further to indices. :)

andreidan · 2023-05-05T11:34:08Z

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

+ public static final Setting<Integer> DLM_MAX_FORCEMERGE_ERRORS_SETTING = Setting.intSetting(
+ "indices.dlm.max_forcemerge_errors",
+ 5,
+ 1,
+ Setting.Property.Dynamic,
+ Setting.Property.NodeScope
+ );


I'd suggest we don't add any error tracking here as we should design a potential back-off on its own as opposed to piggy backing it on this PR (which is already quite large). I don't really think it should be persisted either (I mean it might depend what we end up with in terms of strategy, but DLM should resume once the environmental problems that blocked forcemerge were resolved without the need to bump the value of a setting)

I'd argue we might want to track in-flight requests as opposed to errors, but as I said IMO we should do that separately.

@dakrone would you agree?

OK I've removed all of that and changed it so that it doesn't log an error if you get the same forcemerge exception repeatedly on an index. It will continue retrying forcemerge on an index indefinitely.

…e on an index

dakrone

Left some more comments, but I like this behavior better, thanks for working on this Keith!

dakrone · 2023-05-05T20:17:14Z

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

+ public void onResponse(ForceMergeResponse forceMergeResponse) {
+ logger.info("DLM successfully force merged index [{}]", targetIndex);
+ setForceMergeCompletedTimestamp(targetIndex, listener);
+ }


I don't think we can ignore the forceMergeResponse here. It includes the number of total, successful, and failed shards, as well as a list of shard failure exceptions. Perhaps this should only be considered successful if total == successful for the shard counts in the response?

Yeah that's a good point.

dakrone · 2023-05-05T20:17:49Z

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

+ listener.onFailure(e);
+ // To avoid spamming our logs, we only want to log the error once.
+ if (previousError == null || previousError.equals(errorStore.getError(targetIndex)) == false) {
+ logger.error(


I think this can go at warn level personally, since it will be retried.

dakrone · 2023-05-05T20:25:21Z

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

+ new DataLifecycleClusterStateUpdateTask(listener) {
+ @Override
+ public ClusterState execute(ClusterState currentState) {
+ logger.trace("Updating cluster state with force merge complete marker for {}", targetIndex);
+ IndexMetadata indexMetadata = currentState.metadata().index(targetIndex);
+ Map<String, String> customMetadata = indexMetadata.getCustomData(DLM_CUSTOM_INDEX_METADATA_KEY);
+ Map<String, String> newCustomMetadata = new HashMap<>();
+ if (customMetadata != null) {
+ newCustomMetadata.putAll(customMetadata);
+ }
+ newCustomMetadata.put(FORCE_MERGE_COMPLETED_TIMESTAMP_METADATA_KEY, Long.toString(threadPool.absoluteTimeInMillis()));
+ IndexMetadata updatededIndexMetadata = new IndexMetadata.Builder(indexMetadata).putCustom(
+ DLM_CUSTOM_INDEX_METADATA_KEY,
+ newCustomMetadata
+ ).build();
+ Metadata metadata = Metadata.builder(currentState.metadata()).put(updatededIndexMetadata, true).build();
+ return ClusterState.builder(currentState).metadata(metadata).build();
+ }
+ },


This only has one implementer, so I'm not sure it really needs to be an abstract class. What about making this class concrete, and passing in any pieces that are required (like the targetIndex)? We could rename it to something like UpdateForceMergeCompleteTask to indicate exactly what it does instead of leaving it for generic behavior. What do you think?

That would also mean it could be independently unit tested at some point.

Yeah I can change it. It had two implementations until just recently.

…ming it

andreidan

Thanks for iterating on this Keith

This is shaping up really nicely 🚀

I've left a final set of (hopefully) simplifying comments

andreidan · 2023-05-09T09:17:05Z

modules/dlm/src/internalClusterTest/java/org/elasticsearch/dlm/DataLifecycleServiceIT.java

+ long dlmEnabledTime = System.nanoTime();
+ int currentBackingIndexCount = currentGeneration;
+ assertBusy(() -> {
+ if (TimeValue.timeValueNanos(System.nanoTime()).millis() - TimeValue.timeValueNanos(dlmEnabledTime)
+ .millis() > dlmPollInterval.millis()) {
+ /*
+ * We want to disable DLM immediately after it has run the first time so that it doesn't roll over the latest
+ * generation or force merge the second one.
+ */
+ disableDLM();
+ } else {
+ throw new AssertionError("DLM hasn't run yet so no point in going on");
+ }


I do wonder if this time math would yield some test flakiness?

Could we keep DLM disabled throughout the test and manually run iterations instead?

e.g.

DataLifecycleService dataLifecycleService = internalCluster().getInstance(DataLifecycleService.class, internalCluster().getMasterName()); ClusterService clusterService = internalCluster().getInstance(ClusterService.class, internalCluster().getMasterName()); // run DLM one dataLifecycleService.run(clusterService.state());

Hmm yeah good point. I'd been trying to let DLM run "naturally" but there's really no reason for that -- it's not like what I was doing was a lot more realistic than just explicitly calling it.

andreidan · 2023-05-09T09:20:11Z

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

+ private final MasterServiceTaskQueue<UpdateForceMergeCompleteTask> clusterStateUpdateTaskQueue;
+
+ private static final SimpleBatchedExecutor<UpdateForceMergeCompleteTask, Void> STATE_UPDATE_TASK_EXECUTOR =


These instances are specialised for forcemerge but their names imply generality. Should we rename them to point that they're meant to execute an update related forcemerge only ?

Yeah, originally they were not specialized but became so over time. I'll update the names.

andreidan · 2023-05-09T09:20:47Z

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

 this.pollInterval = DLM_POLL_INTERVAL_SETTING.get(settings);
 this.rolloverConfiguration = clusterService.getClusterSettings().get(DataLifecycle.CLUSTER_DLM_DEFAULT_ROLLOVER_SETTING);
+ this.clusterStateUpdateTaskQueue = clusterService.createTaskQueue(
+ "dlm-clusterstate-update",


Suggested change

"dlm-clusterstate-update",

"dlm-forcemerge-state-update",

andreidan · 2023-05-09T09:22:37Z

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

+
+ @Override
+ public void taskSucceeded(UpdateForceMergeCompleteTask task, Void unused) {
+ logger.trace("Updated cluster state for force merge");


Should we include the target index in this log statement?

andreidan · 2023-05-09T09:27:07Z

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

+ * This method force merges the given indices in the datastream that that have not been force merged previously. Before force
+ * merging, it writes custom metadata as a marker in the cluster state so that we know a force merge is in
+ * process. And it writes another marker in the cluster state upon completion of the force merge.


Suggested change

* This method force merges the given indices in the datastream that that have not been force merged previously. Before force

* merging, it writes custom metadata as a marker in the cluster state so that we know a force merge is in

* process. And it writes another marker in the cluster state upon completion of the force merge.

* This method force merges the given indices in the datastream. It writes a timestamp in the cluster state upon completion of the force merge.

andreidan · 2023-05-09T09:36:06Z

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

+ listener.onFailure(new ElasticsearchException(message));
+ logger.warn(message);


nit: This might be a personal preference, but should we log the message before we notify the listeners? (to avoid the cognitive context switch of "leaving this method" ) Equally, if listener.onFailure fails with an exception we'd never have the logging happen.

I think this could be simplified by doing something like:

if (response.getFailedShards() == 0) { logger.info("DLM successfully force merged index [{}]", targetIndex); setForceMergeCompletedTimestamp(targetIndex, listener); } else { // log a warn message that has the shard failures DefaultShardOperationFailedException[] failures = response.getShardFailures(); String errorMessage = String.format( Locale.ROOT, "DLM failed to forcemerge all shards for inded [%s] due to failures [%s]", indexName, failures == null ? "n/a" : Strings.collectionToDelimitedString( Arrays.stream(failures).map(Strings::toString).collect(Collectors.toList()), "," ) ); logger.warn(errorMessage); // report failure and we'll retry next time DLM runs listener.onFailure(new ElasticsearchException(errorMessage)); }

Or something along those lines? What do you think?

That would work if getFailedShards() always returns something > 0 if there was a problem. I am not sure that it does though. I can move the log message to before the onFailure call though. And I can include the DefaultShardOperationFailedExceptions. Or if you can show me that we're guaranteed that getTotalShards() == getSuccessfulShards() if getFailedShards() == 0 then I'd be happy to merge the two blocks.

I think I can get rid of the status check though, since getStatus() is just a check of the number of failed shards:

public RestStatus getStatus() { if (failedShards > 0) { return shardFailures[0].status(); } else { return RestStatus.OK; } }

I'm pretty sure this invariant holds

Or if you can show me that we're guaranteed that getTotalShards() == getSuccessfulShards() if getFailedShards() == 0 then I'd be happy to merge the two blocks.

It seems odd that the response has total, successful, and failed if total is always equal to successful + failed. That was my reasoning behind separating that out. I definitely didn't go into the lucene code to see what really happens.

Coincidentally, ExplainLifecycleDataIT.testExplainLifecycleForIndicesWithErrors() just exposed a case where the number of failed shards is 0, but the total number of shards was not equal to the number of successful shards. I think in that case it is because shards are being allocated. I think in this case we do want it to fail so that we run forcemerge again next time to merge the segments in the shards we missed.

andreidan · 2023-05-09T09:36:41Z

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

+ listener.onFailure(e);
+ // To avoid spamming our logs, we only want to log the error once.
+ if (previousError == null || previousError.equals(errorStore.getError(targetIndex)) == false) {
+ logger.warn(
+ () -> Strings.format(
+ "DLM encountered an error trying to force merge index [%s]. DLM will attempt to force merge the index on its "
+ + "next run.",
+ targetIndex
+ ),
+ e
+ );
+ }
+ }


Like above, maybe a nit, but should we do the logic that pertains to this method before we call listener.onFailure(e) ? (equally, if listener.onFailure fails with an exception we'd never have the logging happen)

andreidan

Thanks for working on this Keith 🚀

LGTM

dakrone

I left a minor comment, but otherwise LGTM also, thanks for iterating on this Keith!

dakrone · 2023-05-09T20:08:59Z

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

+ logger.warn(message);
+ listener.onFailure(new ElasticsearchException(message));


I think we could replace this with:

Suggested change

logger.warn(message);

listener.onFailure(new ElasticsearchException(message));

this.onFailure(new ElasticsearchException(message));

And it will do the logging only once, instead of (potentially) spamming with the warning multiple times.

I don't see the listener doing any logging at all -- it's going to ErrorRecordingActionListener which records the error, but I don't see it actually sending it to a logger, right? I also don't see multiple log messages coming out of DataLifecycleServiceTests::testForceMergeRetries.

Looking at the code:

public void onFailure(Exception e) { String previousError = errorStore.getError(targetIndex); // To avoid spamming our logs, we only want to log the error once. if (previousError == null || previousError.equals(errorStore.getError(targetIndex)) == false) { logger.warn( () -> Strings.format( "DLM encountered an error trying to force merge index [%s]. DLM will attempt to force merge the index on its " + "next run.", targetIndex ), e ); } listener.onFailure(e);

It will log it as a warning if the previousError is null or if it isn't the same

I don't see the listener doing any logging at all

Note that my version is calling this.onFailure(...) not listener.onFailure(...), so it invokes the onFailure that does the only-once logging (and then calls listener.onFailure(...))

Oh! I had missed that you were changing which onFailure was being called! :)

dakrone · 2023-05-09T20:09:17Z

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

+ logger.warn(message);
+ listener.onFailure(new ElasticsearchException(message));


Same here with replacing with:

Suggested change

logger.warn(message);

listener.onFailure(new ElasticsearchException(message));

this.onFailure(new ElasticsearchException(message));

modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleService.java

…ervice.java Co-authored-by: Lee Hinman <dakrone@users.noreply.github.com>

…asticsearch into feature/DLM-auto-force-merge

masseyke added 7 commits April 4, 2023 09:14

Automatically calling force merge in DLM

5ed1d8b

testing

192be96

merging main

844cd0d

delegating client behavior in test

63cb82c

single delegate for test

42b0534

Adding an integration test

e00ee38

Improving the integration test

01343a6

masseyke marked this pull request as draft April 12, 2023 23:06

elasticsearchmachine added the v8.8.0 label Apr 12, 2023

masseyke added >enhancement :Data Management/DLM labels Apr 12, 2023

masseyke added 8 commits April 12, 2023 18:07

Update docs/changelog/95204.yaml

d0d640b

checkstyle

631858c

Merge branch 'feature/DLM-auto-force-merge' of github.com:masseyke/el…

5335b04

…asticsearch into feature/DLM-auto-force-merge

merging main

b3c8637

spotlessApply

3c09b3f

cleanup/comments

c40cb43

simplifying

352c718

adding a test for retry logic

39fb79b

gmarouli added v8.9.0 and removed v8.8.0 labels Apr 26, 2023

masseyke added 2 commits April 26, 2023 14:16

Merge branch 'main' into feature/DLM-auto-force-merge

459488d

cleanup / commenting

53c695e

masseyke marked this pull request as ready for review April 26, 2023 22:16

elasticsearchmachine added the Team:Data Management Meta label for data/management team label Apr 26, 2023

masseyke requested a review from andreidan April 26, 2023 22:16

masseyke changed the title ~~Feature/dlm auto force merge~~ Add auto force merge functionality to DLM Apr 27, 2023

andreidan reviewed Apr 28, 2023

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masseyke added 2 commits May 3, 2023 11:04

Merge branch 'main' into feature/DLM-auto-force-merge

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fixing a spotless violation

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masseyke requested review from andreidan and dakrone May 3, 2023 17:49

andreidan reviewed May 5, 2023

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masseyke added 4 commits May 5, 2023 10:46

removing pointless SnapshotInProgressException logic for forcemerge

8c63557

code review feedback

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Removing logic to limit the number of times DLM attempts a force merg…

b1ec901

…e on an index

avoid logging the same forcemerge error repeatedly

e34e165

masseyke requested a review from andreidan May 5, 2023 16:46

dakrone reviewed May 5, 2023

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masseyke added 2 commits May 8, 2023 10:44

actually checking the forcemerge response

ee2ecda

making DataLifecycleClusterStateUpdateTask a concrete class, and rena…

b4aaf0b

…ming it

masseyke requested a review from dakrone May 8, 2023 16:48

andreidan reviewed May 9, 2023

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masseyke added 2 commits May 9, 2023 09:46

code review feedback

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forbidden api

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masseyke requested a review from andreidan May 9, 2023 16:13

andreidan approved these changes May 9, 2023

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dakrone approved these changes May 9, 2023

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masseyke and others added 4 commits May 9, 2023 15:58

Update modules/dlm/src/main/java/org/elasticsearch/dlm/DataLifecycleS…

bf0edb1

…ervice.java Co-authored-by: Lee Hinman <dakrone@users.noreply.github.com>

reducing log spamming

5de4f01

Merge branch 'feature/DLM-auto-force-merge' of github.com:masseyke/el…

d1df68d

…asticsearch into feature/DLM-auto-force-merge

Expecting forcemerge failures on a yellow cluster

43b605c

masseyke merged commit 6eebbf5 into elastic:main May 11, 2023

masseyke deleted the feature/DLM-auto-force-merge branch May 11, 2023 16:56

This was referenced May 11, 2023

Fixing expectations in ExplainDataLifecycleIT when there is a single node #96047

Merged

[Meta] Data Lifecycle Management #93596

Closed

		private final MasterServiceTaskQueue<UpdateForceMergeCompleteTask> clusterStateUpdateTaskQueue;

		private static final SimpleBatchedExecutor<UpdateForceMergeCompleteTask, Void> STATE_UPDATE_TASK_EXECUTOR =

		listener.onFailure(new ElasticsearchException(message));
		logger.warn(message);

	logger.warn(message);
	listener.onFailure(new ElasticsearchException(message));
	this.onFailure(new ElasticsearchException(message));

Add auto force merge functionality to DLM #95204

Add auto force merge functionality to DLM #95204

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