19 items | 3 visits
Logstash & ElasticSearch & Kibana
Updated on Dec 04, 14
Created on Nov 27, 14
Category: Computers & Internet
URL:
Doc values are now only about 10 - 25% slower than in-memory fielddata, and come with two major advantages:
$ES_HEAP_SIZE
) can now be set to a smaller size, which improves the speed of garbage collection and, consequently, node stability.
type
.
Thus, a lot of effort is spent on building and also continuously maintaining various caches:
Hot parts of the index structures, such as term dictionaries, posting lists, etc., are assumed to (mostly) reside in the operating system’s page cache. This implies that we cannot simply allocate everything to Elasticsearch.
Field values that are used for faceting, sorting or scripting are loaded into the field cache.
Filters can be cached as bitmaps in the filter cache, making further uses of the filter blazingly fast.
Running out of memory can manifest itself in many ways:
19 items | 3 visits
Logstash & ElasticSearch & Kibana
Updated on Dec 04, 14
Created on Nov 27, 14
Category: Computers & Internet
URL: