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Guoqiang Jiang edited comment on LUCENE-9002 at 10/9/19 4:49 AM: ----------------------------------------------------------------- For easy understanding, I am attaching an ES query example: {code:java} GET host_monitor/_search { "size": 10000, "query": { "bool": { "filter": [ { "term": { "host_ip": "10.60.48.10" } }, { "range": { "timestamp": { "gte": "now-5d/d", "lt": "now/d" } } } ] } }, "docvalue_fields": ["cpu_usage"] } {code} was (Author: jgq2008303393): For easy understanding, I am attaching a real ES query: {code:java} GET host_monitor/_search { "size": 10000, "query": { "bool": { "filter": [ { "term": { "host_ip": "xxx" } }, { "range": { "timestamp": { "gte": "now-5d/d", "lt": "now/d" } } } ] } }, "docvalue_fields": ["cpu_usage"] } {code} > query caching leads to absurdly slow queries > -------------------------------------------- > > Key: LUCENE-9002 > URL: https://issues.apache.org/jira/browse/LUCENE-9002 > Project: Lucene - Core > Issue Type: Improvement > Components: core/search > Affects Versions: 7.7.2, 8.2 > Reporter: Guoqiang Jiang > Priority: Major > Labels: cache, performance > > *Description* > We have dozens of ES clusters(based on Lucene) for metric scenarios. Most of > the queries are like this: _host_ip:10.10.10.10 AND timestamp:[2019-10-01 > 00:00:00 TO 2019-10-05 23:59:59]_. And we frequently encounter some absurdly > slow queries. > *Solution* > For a long time range query(e.g. 5 days), each range query will consume tens > of megabytes of memory and spend hundreds of milliseconds to cache, but the > benefits are not obvious. And those large cache entries will cause frequent > cache eviction. So it's better to skip the caching action directly when > large range query appears with a selective lead iterator. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org For additional commands, e-mail: issues-h...@lucene.apache.org