[英]Why does my UPDATE query take so long when my SELECT query doesn't?
I am trying to do the following: let's say I have the following SELECT query (please excuse the german column names):我正在尝试执行以下操作:假设我有以下 SELECT 查询(请原谅德语列名):
SELECT a1.aktivitäts_id, a1.herkunft_kontakt, a1.aktionsart,
a1.aktionstyp, a2.aktivitäts_id, a2.herkunft_kontakt,
a2.aktionsart, a2.aktionstyp, a2.datum
FROM Aktivitäten a1, Aktivitäten a2
WHERE a1.kunden_nr_aktivität = a2.kunden_nr_aktivität
AND a1.aktionsart = 'foo'
AND a2.herkunft_kontakt <> ''
This query takes about 4 seconds (the database has about 1 million records total) and returns about 400 records.这个查询大约需要 4 秒(数据库总共有大约 100 万条记录)并返回大约 400 条记录。 However, when I want to UPDATE these same records with the following statement但是,当我想使用以下语句更新这些相同的记录时
UPDATE Aktivitäten a1, Aktivitäten a2
SET a1.herkunft_kontakt = a2.herkunft_kontakt
WHERE a1.kunden_nr_aktivität = a2.kunden_nr_aktivität
AND a1.aktionsart = 'foo'
AND a2.herkunft_kontakt <> ''
The query always times out after taking forever.查询总是在永远占用后超时。 Am I doing something wrong or is this behaviour to be expected?我做错了什么还是可以预期这种行为?
First, learn to JOIN
,.!首先,学会JOIN
,.! Second, the difference is probably that you are updating too many rows -- and probably one row multiple times.其次,不同之处可能在于您更新了太多行 - 并且可能多次更新一行。 I might suggest trying to aggregate before joining:我可能会建议在加入之前尝试聚合:
UPDATE Aktivitäten a1 JOIN
(SELECT kunden_nr_aktivität, MAX(herkunft_kontakt) as herkunft_kontakt
FROM Aktivitäten a2
WHERE a2.herkunft_kontakt <> ''
GROUP BY kunden_nr_aktivität
) a2
USING (kunden_nr_aktivität)
SET a1.herkunft_kontakt = a2.herkunft_kontakt
WHERE a1.aktionsart = 'foo' ;
Composite indexes that may help:可能有帮助的复合索引:
a1: (aktionsart, kunden_nr_aktivit) -- in this order
a2: (kunden_nr_aktivit, herkunft_kontakt)
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.