这些查询是否可以压缩为 2 个,甚至更好为 1 个查询?
查询 1
$stmt = $conn->
prepare("
SELECT providers.Provider_ID, providers.Description, reviews.Date, reviews.F_Name, reviews.S_Name, reviews.Website, reviews.Rating, reviews.Message, reviews.Email_Address
FROM providers
INNER JOIN reviews ON reviews.Provider=providers.Provider_ID
WHERE providers.Provider_ID LIKE CONCAT('%',:provider,'%') LIMIT $set_limit
");
$stmt->bindParam(':provider', $provider, PDO::PARAM_STR);
$stmt->execute();
$rows = $stmt->fetchAll(PDO::FETCH_ASSOC);
查询 2
$stmt = $conn->
prepare("
SELECT ROUND(AVG(rating),1) as AVG_Rating
FROM reviews
WHERE Provider LIKE CONCAT('%',:provider,'%')
");
$stmt->bindParam(':provider', $provider, PDO::PARAM_STR);
$stmt->execute();
$get_average = $stmt->fetchColumn();
查询3
$stmt = $conn->
prepare("
SELECT COUNT(*)
FROM reviews
WHERE Provider LIKE CONCAT('%',:provider,'%')
");
$stmt->bindParam(':provider', $provider, PDO::PARAM_STR);
$stmt->execute();
$total_rows = $stmt->fetchColumn();
最佳答案
您正在汇总不同粒度级别的结果。一个是提供者级别,另一个是审核级别。因此,您需要带有摘要信息的评论。您可以通过加入聚合结果来获得此结果:
SELECT p.Provider_ID, p.Description, r.Date, r.F_Name, r.S_Name,
r.Website, r.Rating, r.Message, r.Email_Address,
tsum.AVG_Rating, tsum.cnt
FROM providers p INNER JOIN
reviews r
ON r.Provider = p.Provider_ID CROSS JOIN
(SELECT Provider, ROUND(AVG(rating),1) as AVG_Rating, COUNT(*) as cnt
FROM reviews
WHERE Provider LIKE CONCAT('%',:provider,'%')
) tsum
WHERE p.Provider_ID LIKE CONCAT('%',:provider,'%')
LIMIT $set_limit
关于mysql - 我怎样才能压缩3个mysql查询;使用 AVG 和 COUNT,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/22772541/