我一直在使用es 5.4.3进行多索引搜索。我使用配置文件API跟踪搜索过程，发现其中一个“ TermQuery”花费了160毫秒以上！我是es和lucene的新手，但我听说lucene中的termquery非常快。即使在将“ fielddata”放入内存后也会发生这种情况（我将在下面显示我的索引的设置方式），我对自己的映射不是很自信，希望我的主人能弄清楚我的错误并解决了问题。我有什么指示要弄清楚问题出在哪里吗？ 该映射源自es 2.x，但官方文档表示它将自动进行转换。
new_mappings = {
"properties": {
"did": {"type": "long", "index": "not_analyzed"},
"title": {"type": "string", "index": "analyzed", "fielddata": {"loading": "eager"}},
"title_embed": {"type": "double", "index": "no"},
"entity": {"type": "string", "index": "not_analyzed", "fielddata": {"loading": "eager"}},
"tag": {"type": "string", "index": "not_analyzed"},
"aliases": {"type": "string", "index": "not_analyzed"},
"entity_with_field": {"type": "string", "index": "not_analyzed", "fielddata": {"loading": "eager"}},
"original_title": {"type": "string", "index": "analyzed", "analyzer": "standard", "fielddata": {"loading": "eager"}},
"did3": {"type": "string", "index": "not_analyzed"},
"title_entity": {"type": "string", "index": "not_analyzed", "fielddata": {"loading": "eager"}},
}
}
{
"type" : "TermQuery",
"description" : "title:cure",
"time" : "163.5755780ms",
"time_in_nanos" : 163575578,
"breakdown" : {
"score" : 72259602,
"build_scorer_count" : 19,
"match_count" : 0,
"create_weight" : 35370852,
"next_doc" : 55374841,
"match" : 0,
"create_weight_count" : 1,
"next_doc_count" : 71435,
"score_count" : 71416,
"build_scorer" : 427412,
"advance" : 0,
"advance_count" : 0
}
},
{
"type" : "TermQuery",
"description" : "title:fever",
"time" : "0.2344140000ms",
"time_in_nanos" : 234414,
"breakdown" : {
"score" : 0,
"build_scorer_count" : 19,
"match_count" : 0,
"create_weight" : 230746,
"next_doc" : 0,
"match" : 0,
"create_weight_count" : 1,
"next_doc_count" : 0,
"score_count" : 0,
"build_scorer" : 3648,
"advance" : 0,
"advance_count" : 0
}