Source: dzone.com
Inside the Elastic ShardCategory: Database, Data
Added with the full package of the beats to collate data and visualize using Kibana dashboards, it's quick to integrate and start collecting metrics or events or logs into this powerhouse.
Shards are partitions of data and are either primary or replica—typically used to handle load, recovery, and availability of the data in the cluster.
All the Search data structures, field, and filter caches per segment are part of the heap.
The tokenizer, analyzer inside the Lucene segments, term vector are vital for search relevance but for improving the search latency performance—the major factors would be how the data is routed to different shards, the number of shards, and how the load is balanced out across replicas, the memory configuration, the underlying disk performance, how the data is stored.
Shards are partitions of data and are either primary or replica—typically used to handle load, recovery, and availability of the data in the cluster.
All the Search data structures, field, and filter caches per segment are part of the heap.
The tokenizer, analyzer inside the Lucene segments, term vector are vital for search relevance but for improving the search latency performance—the major factors would be how the data is routed to different shards, the number of shards, and how the load is balanced out across replicas, the memory configuration, the underlying disk performance, how the data is stored.
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