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ES-10037 Configurable metrics in data stream auto-sharding #125612

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Merged
merged 6 commits into from
Mar 28, 2025
Merged

ES-10037 Configurable metrics in data stream auto-sharding #125612

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a35f531
Refactor `DataStreamAutoShardingServiceTests`
PeteGillinElastic Mar 27, 2025
fe87746
Configurable metrics in data stream auto-sharding
PeteGillinElastic Mar 20, 2025
7dc015d
[CI] Auto commit changes from spotless
Mar 27, 2025
422f44f
Respond to review comment: Make DSASS.calculate() take the stats obje…
PeteGillinElastic Mar 28, 2025
f019344
Update server/src/main/java/org/elasticsearch/action/datastreams/auto…
PeteGillinElastic Mar 28, 2025
b22ec78
Merge remote-tracking branch 'upstream/main' into ES-10037-allow-rece…
PeteGillinElastic Mar 28, 2025
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17 changes: 3 additions & 14 deletions ...rc/main/java/org/elasticsearch/action/admin/indices/rollover/TransportRolloverAction.java
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Original file line number Diff line number Diff line change
Expand Up @@ -278,23 +278,12 @@ protected void masterOperation(
final IndexAbstraction indexAbstraction = projectMetadata.getIndicesLookup().get(resolvedRolloverTarget.resource());
if (indexAbstraction.getType().equals(IndexAbstraction.Type.DATA_STREAM)) {
DataStream dataStream = (DataStream) indexAbstraction;
final Optional<IndexStats> indexStats = Optional.ofNullable(statsResponse)
.map(stats -> stats.getIndex(dataStream.getWriteIndex().getName()));

Double indexWriteLoad = indexStats.map(
stats -> Arrays.stream(stats.getShards())
.filter(shardStats -> shardStats.getStats().indexing != null)
// only take primaries into account as in stateful the replicas also index data
.filter(shardStats -> shardStats.getShardRouting().primary())
.map(shardStats -> shardStats.getStats().indexing.getTotal().getWriteLoad())
.reduce(0.0, Double::sum)
).orElse(null);

rolloverAutoSharding = dataStreamAutoShardingService.calculate(projectState, dataStream, indexWriteLoad);
IndexStats indexStats = statsResponse != null ? statsResponse.getIndex(dataStream.getWriteIndex().getName()) : null;
rolloverAutoSharding = dataStreamAutoShardingService.calculate(projectState, dataStream, indexStats);
logger.debug("auto sharding result for data stream [{}] is [{}]", dataStream.getName(), rolloverAutoSharding);

// if auto sharding recommends increasing the number of shards we want to trigger a rollover even if there are no
// other "regular" conditions matching (we want to aggressively increse the number of shards) so we're adding the
// other "regular" conditions matching (we want to aggressively increase the number of shards) so we're adding the
// automatic {@link OptimalShardCountCondition} to the rollover request conditions so it gets evaluated and triggers
// the rollover operation (having this condition met will also provide a useful paper trail as it'll get stored in
// the {@link org.elasticsearch.action.admin.indices.rollover.RolloverInfo#metConditions} )
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