Technologies/Elasticsearch/elasticsearch.index.operations.merge.docs_count
ElasticsearchElasticsearchMetric

elasticsearch.index.operations.merge.docs_count

Merge operation doc count
Dimensions:None
Available on:DatadogDatadog (5)PrometheusPrometheus (1)OpenTelemetryOpenTelemetry (1)

Summary

Tracks the number of documents merged during segment merge operations for an index. Merging consolidates smaller Lucene segments into larger ones, reducing segment count and improving search efficiency. High document merge counts indicate active merge activity, which competes with indexing for I/O and CPU resources, potentially requiring merge throttling adjustments to balance indexing throughput with merge overhead.

Interface Metrics (7)
DatadogDatadog
The number of documents across segments currently being merged.
Dimensions:None
PrometheusPrometheus
Cumulative docs merged
Dimensions:None
OpenTelemetryOpenTelemetry
The total number of documents in merge operations for an index.
Dimensions:None
DatadogDatadog
The total number of documents across all merged segments submitted as a count.
Dimensions:None
DatadogDatadog
The number of documents across segments currently being merged on the primary shards.
Dimensions:None
DatadogDatadog
The total number of documents across all merged segments on the primary shards.
Dimensions:None
DatadogDatadog
The total number of documents across all merged segments.
Dimensions:None
Sources
elasticsearch.merges.current.docsgithub.com
indices_merges_docs_totalgithub.com
elasticsearch.index.operations.merge.docs_countgithub.com
elasticsearch.merges.total.docs.countgithub.com
elasticsearch.primaries.merges.current.docsgithub.com
elasticsearch.primaries.merges.total.docsgithub.com
elasticsearch.merges.total.docsgithub.com
Related Insights (1)
Segment Merge Backlog Causing Query Slowdownwarning

Background segment merges consolidate small Lucene segments into larger ones, reducing file count. When merge rate cannot keep pace with segment creation, segment count explodes causing slow queries and increased memory usage.

▸