我必须执行一个相对非常大的表(80M的记录) Invoice_Payment的更新。它应该更新来自另一个表Invoice_Payment_updated的数据,这个表的行数是Invoice_Payment的10%-15%。为了进行说明,请查看以下演示表:
Invoice_Payment Invoice_Payment_updated
--------------- -----------------------
Customer_id Invoice_no Id Cust_id Invoice_no
10 10100001 1 10 20200100
11 10100002 2 11 20200101
12 10100003
13 10100004我知道Merge通常用于执行UPSERT,它的执行时间比同等的Update语句长几倍。但相比之下,在某些情况下,包含多个子查询的普通update语句的性能较低。
MERGE INTO Invoice_Payment ip
USING (SELECT ipu.Cust_id, ipu.Invoice_no from Invoice_Payment_updated ipu
INNER JOIN Invoice_Payment ip ON ip.Customer_id = ipu.Cust_id
WHERE ipu.Cust_id = ip.Customer_id and ipu.Invoice_no <> ip.Invoice_no) t
ON (ip.Customer_id = t.Cust_id)
WHEN MATCHED THEN
UPDATE SET ip.Invoice_no = t.Invoice_no;为了提高性能,我可以使用ROWCOUNT批量更新,但这不会加快执行速度,它只会帮助减少总体锁定。
下面是返回相同输出的简单Update语句:
UPDATE Invoice_Payment
SET Invoice_no = (SELECT ipu.Invoice_no
FROM Invoice_Payment_updated ipu
WHERE ipu.Cust_id = Invoice_Payment.Customer_id
AND ipu.Invoice_no <> Invoice_Payment.Invoice_no)
WHERE EXISTS (SELECT 1
FROM Invoice_Payment_updated ipu
WHERE ipu.Cust_id = Invoice_Payment.Customer_id
AND ipu.Invoice_no <> Invoice_Payment.Invoice_no);使用SQL合并和更新的想法是一个非常聪明的想法,但我听说当我需要更新一个大而宽的表中的许多记录(即超过75M)时,这两种方法都会在性能问题上失败。此外,重新创建整个表需要大量的IO负载,更不用说由于使用子查询而临时多次存储表将占用大量空间。
解决此问题的另一种方法是使用临时表:
CREATE TABLE tmp (
Cust_id int,
Invoice_no int);
INSERT INTO tmp_stage VALUES
(SELECT ipu.Cust_id, ipu.Invoice_no FROM Invoice_Payment_updated ipu
INNER JOIN Invoice_Payment ip ON ip.Customer_id = ipu.Cust_id
WHERE ipu.Cust_id = ip.Customer_id and ipu.Invoice_no <> ip.Invoice_no);
UPDATE (SELECT tmp.Cust_id, ip.Customer_id, tmp.Invoice_no, tgt.Invoice_no
FROM tmp INNER JOIN Invoice_Payment ip
ON tmp.Cust_id = ip.Customer_id)
SET tmp.Invoice_no = ip.Invoice_no;我想弄清楚在有多个子查询的情况下使用哪一个更好?
欢迎任何想法,并非常感谢对原始问题的完全不同的解决方案。
发布于 2016-08-11 13:23:21
UPDATE i
SET i.Invoice_no = io.Invoice_no
FROM Invoice_Payment i
INNER JOIN Invoice_Payment_updated io on i.Customer_id = io.cust_id
WHERE i.Invoice_no <> iu.Invoice_no -- assuming Invoice_no cannot be NULL如果更新花费太多时间,请添加WHILE循环和update TOP (10000)直到@@ROWCOUNT = 0。批处理模式可以提高性能。
https://stackoverflow.com/questions/38887682
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