我们已经设置了两个单节点elasticsearch（5.1.1）集群，并为它们索引了几乎相同的数据（大约200G）。但是当我执行相同的查询时，速度变化很大。一个几乎是另一个的两倍。有人能帮我弄清楚原因吗？
以下是一些细节： 查询：
GET /trend/_search
{
"profile":true,
"size":0,
"aggs":{
"date_hist_aggr":{
"date_histogram":{
"field":"publish_time",
"interval":"day",
"time_zone":"+08:00"
}
}
},
"query":{
"bool":{
"filter":[
{
"bool":{
"should":[
{
"bool":{
"should":[
{
"match":{
"title":{
"type":"phrase",
"query":"search_text"
}
}
},
{
"match":{
"text":{
"type":"phrase",
"query":"search_text"
}
}
}
],
"filter":[
{
"term":{
"document_source":{
"value":"choice_news_full"
}
}
}
]
}
}
// more queries ....
]
}
}
]
}
}
}
较慢的个人资料结果：
{
"took": 6990,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 10703,
"max_score": 0,
"hits": []
},
"profile": {
"shards": [
// other shards are similary.
{
"id": "[EqbHLX5_SQuKPQ-ZZw7Pmg][trend][1]",
"searches": [
{
"query": [
{
"type": "BoostQuery",
"description": "(ConstantScore((title:\"some_text_to_search\" text:\"some_text_to_search\" #document_source:choice_news_full)~1))^0.0",
"time": "5132.414299ms",
"breakdown": {
"score": 0,
"build_scorer_count": 34,
"match_count": 12149,
"create_weight": 1506900476,
"next_doc": 834988530,
"match": 2783243786,
"create_weight_count": 1,
"next_doc_count": 12181,
"score_count": 0,
"build_scorer": 7257142,
"advance": 0,
"advance_count": 0
},
"children": [
{
"type": "BooleanQuery",
"description": "(title:\"some_text_to_search\" text:\"some_text_to_search\" #document_source:choice_news_full)~1",
"time": "5128.086301ms",
"breakdown": {
"score": 0,
"build_scorer_count": 34,
"match_count": 12149,
"create_weight": 1506894285,
"next_doc": 832868797,
"match": 2781145088,
"create_weight_count": 1,
"next_doc_count": 12181,
"score_count": 0,
"build_scorer": 7153766,
"advance": 0,
"advance_count": 0
},
"children": [
{
"type": "MultiPhraseQuery",
"description": "title:\"some_text_to_search\"",
"time": "1123.789370ms",
"breakdown": {
"score": 0,
"build_scorer_count": 34,
"match_count": 376,
"create_weight": 285785210,
"next_doc": 160281857,
"match": 673293683,
"create_weight_count": 1,
"next_doc_count": 402,
"score_count": 0,
"build_scorer": 3966744,
"advance": 460643,
"advance_count": 420
}
},
{
"type": "MultiPhraseQuery",
"description": "text:\"some_text_to_search\"",
"time": "3986.896197ms",
"breakdown": {
"score": 0,
"build_scorer_count": 34,
"match_count": 11795,
"create_weight": 1221076820,
"next_doc": 655575011,
"match": 2103910865,
"create_weight_count": 1,
"next_doc_count": 12040,
"score_count": 0,
"build_scorer": 767627,
"advance": 5531401,
"advance_count": 10603
}
},
{
"type": "TermQuery",
"description": "document_source:choice_news_full",
"time": "5.050457000ms",
"breakdown": {
"score": 0,
"build_scorer_count": 34,
"match_count": 0,
"create_weight": 1493,
"next_doc": 0,
"match": 0,
"create_weight_count": 1,
"next_doc_count": 0,
"score_count": 0,
"build_scorer": 233508,
"advance": 4792856,
"advance_count": 22565
}
}
]
}
]
}
],
"rewrite_time": 22447,
"collector": [
{
"name": "CancellableCollector",
"reason": "search_cancelled",
"time": "3.101963000ms",
"children": [
{
"name": "MultiCollector",
"reason": "search_multi",
"time": "2.694232000ms",
"children": [
{
"name": "TotalHitCountCollector",
"reason": "search_count",
"time": "0.2663410000ms"
},
{
"name": "ProfilingAggregator: [org.elasticsearch.search.profile.aggregation.ProfilingAggregator@70caba80]",
"reason": "aggregation",
"time": "1.778954000ms"
}
]
}
]
}
]
}
],
"aggregations": [
{
"type": "org.elasticsearch.search.aggregations.bucket.histogram.DateHistogramAggregator",
"description": "date_hist_aggr",
"time": "1.326995000ms",
"breakdown": {
"reduce": 0,
"build_aggregation": 265919,
"build_aggregation_count": 1,
"initialize": 4584,
"initialize_count": 1,
"reduce_count": 0,
"collect": 1054442,
"collect_count": 2048
}
}
]
}
]
}
}
更快速的结果：
{
"took": 4622,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 10589,
"max_score": 0,
"hits": []
},
"profile": {
"shards": [
// other shards are similary.
{
"id": "[3zJGuDH9TQ-WOLgI2ZKfOA][trend][0]",
"searches": [
{
"query": [
{
"type": "BoostQuery",
"description": "(ConstantScore((title:\"some_text_to_search\" text:\"some_text_to_search\" #document_source:choice_news_full)~1))^0.0",
"time": "2965.483800ms",
"breakdown": {
"score": 0,
"build_scorer_count": 30,
"match_count": 11901,
"create_weight": 1548877683,
"next_doc": 201685172,
"match": 1213525903,
"create_weight_count": 1,
"next_doc_count": 11919,
"score_count": 0,
"build_scorer": 1371191,
"advance": 0,
"advance_count": 0
},
"children": [
{
"type": "BooleanQuery",
"description": "(title:\"some_text_to_search\" text:\"some_text_to_search\" #document_source:choice_news_full)~1",
"time": "2961.314893ms",
"breakdown": {
"score": 0,
"build_scorer_count": 30,
"match_count": 11901,
"create_weight": 1548873529,
"next_doc": 199676450,
"match": 1211468384,
"create_weight_count": 1,
"next_doc_count": 11919,
"score_count": 0,
"build_scorer": 1272679,
"advance": 0,
"advance_count": 0
},
"children": [
{
"type": "MultiPhraseQuery",
"description": "title:\"some_text_to_search\"",
"time": "377.6214820ms",
"breakdown": {
"score": 0,
"build_scorer_count": 30,
"match_count": 443,
"create_weight": 357702051,
"next_doc": 9996950,
"match": 9403763,
"create_weight_count": 1,
"next_doc_count": 461,
"score_count": 0,
"build_scorer": 502110,
"advance": 15670,
"advance_count": 3
}
},
{
"type": "MultiPhraseQuery",
"description": "text:\"some_text_to_search\"",
"time": "2573.946724ms",
"breakdown": {
"score": 0,
"build_scorer_count": 30,
"match_count": 11486,
"create_weight": 1191134981,
"next_doc": 183139344,
"match": 1199396032,
"create_weight_count": 1,
"next_doc_count": 11747,
"score_count": 0,
"build_scorer": 196634,
"advance": 56460,
"advance_count": 9
}
},
{
"type": "TermQuery",
"description": "document_source:choice_news_full",
"time": "3.243158000ms",
"breakdown": {
"score": 0,
"build_scorer_count": 30,
"match_count": 0,
"create_weight": 1382,
"next_doc": 0,
"match": 0,
"create_weight_count": 1,
"next_doc_count": 0,
"score_count": 0,
"build_scorer": 211093,
"advance": 3018723,
"advance_count": 11929
}
}
]
}
]
}
],
"rewrite_time": 10115,
"collector": [
{
"name": "CancellableCollector",
"reason": "search_cancelled",
"time": "2.942374000ms",
"children": [
{
"name": "MultiCollector",
"reason": "search_multi",
"time": "2.540610000ms",
"children": [
{
"name": "TotalHitCountCollector",
"reason": "search_count",
"time": "0.2359210000ms"
},
{
"name": "ProfilingAggregator: [org.elasticsearch.search.profile.aggregation.ProfilingAggregator@63c09142]",
"reason": "aggregation",
"time": "1.663939000ms"
}
]
}
]
}
]
}
],
"aggregations": [
{
"type": "org.elasticsearch.search.aggregations.bucket.histogram.DateHistogramAggregator",
"description": "date_hist_aggr",
"time": "1.451517000ms",
"breakdown": {
"reduce": 0,
"build_aggregation": 288404,
"build_aggregation_count": 1,
"initialize": 1827,
"initialize_count": 1,
"reduce_count": 0,
"collect": 1159177,
"collect_count": 2107
}
}
]
}
]
}
答案 0 :(得分：0)
我明白了！
更快的节点已经运行了很长时间，我们已经对它执行了很多查询，所以它已经很好地预热了。执行查询许多短语的脚本后，较慢的节点现在变得更快。
@asettouf，感谢您的建议！