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我有一个包含超过 130 万条记录的数据库。这些记录中的每一个都有一个或多个类别（或标签）与之关联，通过使用一个类别匹配表，该表包含一个或多个与 placeid 与 catid 匹配的行。我正在使用全文搜索在地名和/或 fullloc（完整位置）字段中查找匹配项。

正如您将在下面的查询中看到的那样，我使用“内连接”和“分组依据”来处理类别的匹配。一个地点可能与近 40 个类别相关联。在搜索 130 万条记录时，这非常慢。

SELECT 
  MATCH(placename,fullloc) AGAINST ('chappaqua school' IN BOOLEAN MODE) 
    as score, 
  places.PlaceName, places.fullloc, places.PlaceID, places.ImageThumb, 
  places.contributorid, places.verified, places.verified_by, 
  places.verified_date, places.visibility 
FROM places 
WHERE STATUS IN (1,0) 
  AND MATCH(placename,fullloc) AGAINST ('chappaqua school' IN BOOLEAN MODE) 
  AND places_cats.CATID IN (129,75,104,126,115,140,128,137,136,114,135,
    105,142,141,90,121,122,117,98,1,130,127,25,116,102,5,
    88,87,31,24,37,134,39,40,112,34,30,133,9,8,7,11,20,19,
    3,2,4,131,132,89,38,125,139,36,124,138,35,119,118,120,
    96,97,95,13,17,14,12,21,15,32,16,26,29,28,27,85,86,84) 
  AND (visibility = 1 ) 
GROUP BY PlaceID 
ORDER BY score DESC LIMIT 500

我正在寻找一些帮助来寻找处理类别的新方法。有没有办法通过将 CatID 存储在 Places 表中来做到这一点？

这是上述查询的解释....

1,SIMPLE,places,fulltext,"PRIMARY,by_plaeid,by_full_text",by_full_text,0,,1,Using where; Using temporary; Using filesort
1,SIMPLE,places_cats,ref,"by_PlaceIDandCatID,by_catid,by_catID_and_placeID,by_placeid",by_placeid,4,mapthepast.places.PlaceID,1,Using where

上述查询目前需要 10.8 秒。删除 Category JOIN（下），执行时间下降到 2.08。

SELECT MATCH(placename,fullloc) AGAINST ('chappaqua school' IN BOOLEAN MODE) as score, 
places.PlaceName, places.fullloc, places.PlaceID, places.ImageThumb, places.contributorid, places.verified, places.verified_by, places.verified_date, places.visibility 
FROM places 
WHERE STATUS IN (1,0) AND MATCH(placename,fullloc) AGAINST ('chappaqua school' IN BOOLEAN MODE) 
GROUP BY PlaceID 
ORDER BY score DESC LIMIT 500
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