2023年8月3日发(作者:)
【MySql】Update批量更新与批量更新多条记录的不同值实现⽅法mysql更新语句很简单,更新⼀条数据的某个字段,⼀般这样写:UPDATE mytable SET myfield = 'value' WHERE other_field = 'other_value';如果更新同⼀字段为同⼀个值,mysql也很简单,修改下where即可:UPDATE mytable SET myfield = 'value' WHERE other_field in ('other_values');这⾥注意 ‘other_values' 是⼀个逗号(,)分隔的字符串,如:1,2,3那如果更新多条数据为不同的值,可能很多⼈会这样写:foreach ($display_order as $id => $ordinal) {
$sql = "UPDATE categories SET display_order = $ordinal WHERE id = $id";
mysql_query($sql);
}即是循环⼀条⼀条的更新记录。⼀条记录update⼀次,这样性能很差,也很容易造成阻塞。那么能不能⼀条sql语句实现批量更新呢?mysql并没有提供直接的⽅法来实现批量更新,但是可以⽤点⼩技巧来实现。UPDATE mytable
SET myfield = CASE id
WHEN 1 THEN 'value' WHEN 2 THEN 'value' WHEN 3 THEN 'value' ENDWHERE id IN (1,2,3)这⾥使⽤了case when 这个⼩技巧来实现批量更新。举个例⼦:UPDATE categories
SET display_order = CASE id
WHEN 1 THEN 3
WHEN 2 THEN 4
WHEN 3 THEN 5
ENDWHERE id IN (1,2,3)这句sql的意思是,更新display_order 字段,如果id=1 则display_order 的值为3,如果id=2 则 display_order 的值为4,如果id=3 则display_order 的值为5。即是将条件语句写在了⼀起。这⾥的where部分不影响代码的执⾏,但是会提⾼sql执⾏的效率。确保sql语句仅执⾏需要修改的⾏数,这⾥只有3条数据进⾏更新,⽽where⼦句确保只有3⾏数据执⾏。如果更新多个值的话,只需要稍加修改:UPDATE categories
SET display_order = CASE id
WHEN 1 THEN 3
WHEN 2 THEN 4
WHEN 3 THEN 5
END,
title = CASE id
WHEN 1 THEN 'New Title 1' WHEN 2 THEN 'New Title 2' WHEN 3 THEN 'New Title 3' ENDWHERE id IN (1,2,3)到这⾥,已经完成⼀条mysql语句更新多条记录了。但是要在业务中运⽤,需要结合服务端语⾔,这⾥以php为例,构造这条mysql语句:$display_order = array(
1 => 4,
2 => 1,
3 => 2,
4 => 3,
5 => 9,
6 => 5,
7 => 8,
8 => 9
);
$ids = implode(',', array_keys($display_order)); $sql = "UPDATE categories SET display_order = CASE id ";
foreach ($display_order as $id => $ordinal) {
$sql .= sprintf("WHEN %d THEN %d ", $id, $ordinal);
}
$sql .= "END WHERE id IN ($ids)";
echo $sql;这个例⼦,有8条记录进⾏更新。代码也很容易理解,你学会了吗性能分析当我使⽤上万条记录利⽤mysql批量更新,发现使⽤最原始的批量update发现性能很差,将⽹上看到的总结⼀下⼀共有以下三种办法:1.批量update,⼀条记录update⼀次,性能很差update test_tbl set dr='2' where id=1;e into 或者insert into ...on duplicate key updatereplace into test_tbl (id,dr) values (1,'2'),(2,'3'),...(x,'y');或者使⽤insert into test_tbl (id,dr) values (1,'2'),(2,'3'),...(x,'y') on duplicate key update dr=values(dr);3.创建临时表,先更新临时表,然后从临时表中update 代码如下create temporary table tmp(id int(4) primary key,dr varchar(50));insert into tmp values (0,'gone'), (1,'xx'),...(m,'yy');update test_tbl, tmp set test_= where test_=;
注意:这种⽅法需要⽤户有temporary 表的create 权限。下⾯是上述⽅法update 100000条数据的性能测试结果:逐条updatereal 0m15.557suser 0m1.684ssys 0m1.372sreplace intoreal 0m1.394suser 0m0.060ssys 0m0.012sinsert into on duplicate key updatereal 0m1.474suser 0m0.052ssys 0m0.008screate temporary table and update:real 0m0.643suser 0m0.064ssys 0m0.004s就测试结果来看,测试当时使⽤replace into性能较好。replace into 和insert into on duplicate key update的不同在于:replace into 操作本质是对重复的记录先delete 后insert,如果更新的字段不全会将缺失的字段置为缺省值insert into 则是只update重复记录,不会改变其它字段。/** * 将⼆维数组转换成CASE WHEN THEN的批量更新条件 * @param $data array ⼆维数组 * @param $field string 列名 * @return string sql语句 */ private function parseUpdate($data, $field,$table) { $sql = " update {$table} set "; $keys = array_keys(current($data)); foreach ($keys as $column) { $sql .= sprintf("`%s` = CASE `%s` n", $column, $field); foreach ($data as $line) { $sql .= sprintf("WHEN '%s' THEN '%s' n", $line[$field], $line[$column]); } $sql .= "END,"; } $fanhui = implode(',',array_column($data,'id')); return rtrim($sql, ',')." where id in ({$fanhui})"; }
2023年8月3日发(作者:)
【MySql】Update批量更新与批量更新多条记录的不同值实现⽅法mysql更新语句很简单,更新⼀条数据的某个字段,⼀般这样写:UPDATE mytable SET myfield = 'value' WHERE other_field = 'other_value';如果更新同⼀字段为同⼀个值,mysql也很简单,修改下where即可:UPDATE mytable SET myfield = 'value' WHERE other_field in ('other_values');这⾥注意 ‘other_values' 是⼀个逗号(,)分隔的字符串,如:1,2,3那如果更新多条数据为不同的值,可能很多⼈会这样写:foreach ($display_order as $id => $ordinal) {
$sql = "UPDATE categories SET display_order = $ordinal WHERE id = $id";
mysql_query($sql);
}即是循环⼀条⼀条的更新记录。⼀条记录update⼀次,这样性能很差,也很容易造成阻塞。那么能不能⼀条sql语句实现批量更新呢?mysql并没有提供直接的⽅法来实现批量更新,但是可以⽤点⼩技巧来实现。UPDATE mytable
SET myfield = CASE id
WHEN 1 THEN 'value' WHEN 2 THEN 'value' WHEN 3 THEN 'value' ENDWHERE id IN (1,2,3)这⾥使⽤了case when 这个⼩技巧来实现批量更新。举个例⼦:UPDATE categories
SET display_order = CASE id
WHEN 1 THEN 3
WHEN 2 THEN 4
WHEN 3 THEN 5
ENDWHERE id IN (1,2,3)这句sql的意思是,更新display_order 字段,如果id=1 则display_order 的值为3,如果id=2 则 display_order 的值为4,如果id=3 则display_order 的值为5。即是将条件语句写在了⼀起。这⾥的where部分不影响代码的执⾏,但是会提⾼sql执⾏的效率。确保sql语句仅执⾏需要修改的⾏数,这⾥只有3条数据进⾏更新,⽽where⼦句确保只有3⾏数据执⾏。如果更新多个值的话,只需要稍加修改:UPDATE categories
SET display_order = CASE id
WHEN 1 THEN 3
WHEN 2 THEN 4
WHEN 3 THEN 5
END,
title = CASE id
WHEN 1 THEN 'New Title 1' WHEN 2 THEN 'New Title 2' WHEN 3 THEN 'New Title 3' ENDWHERE id IN (1,2,3)到这⾥,已经完成⼀条mysql语句更新多条记录了。但是要在业务中运⽤,需要结合服务端语⾔,这⾥以php为例,构造这条mysql语句:$display_order = array(
1 => 4,
2 => 1,
3 => 2,
4 => 3,
5 => 9,
6 => 5,
7 => 8,
8 => 9
);
$ids = implode(',', array_keys($display_order)); $sql = "UPDATE categories SET display_order = CASE id ";
foreach ($display_order as $id => $ordinal) {
$sql .= sprintf("WHEN %d THEN %d ", $id, $ordinal);
}
$sql .= "END WHERE id IN ($ids)";
echo $sql;这个例⼦,有8条记录进⾏更新。代码也很容易理解,你学会了吗性能分析当我使⽤上万条记录利⽤mysql批量更新,发现使⽤最原始的批量update发现性能很差,将⽹上看到的总结⼀下⼀共有以下三种办法:1.批量update,⼀条记录update⼀次,性能很差update test_tbl set dr='2' where id=1;e into 或者insert into ...on duplicate key updatereplace into test_tbl (id,dr) values (1,'2'),(2,'3'),...(x,'y');或者使⽤insert into test_tbl (id,dr) values (1,'2'),(2,'3'),...(x,'y') on duplicate key update dr=values(dr);3.创建临时表,先更新临时表,然后从临时表中update 代码如下create temporary table tmp(id int(4) primary key,dr varchar(50));insert into tmp values (0,'gone'), (1,'xx'),...(m,'yy');update test_tbl, tmp set test_= where test_=;
注意:这种⽅法需要⽤户有temporary 表的create 权限。下⾯是上述⽅法update 100000条数据的性能测试结果:逐条updatereal 0m15.557suser 0m1.684ssys 0m1.372sreplace intoreal 0m1.394suser 0m0.060ssys 0m0.012sinsert into on duplicate key updatereal 0m1.474suser 0m0.052ssys 0m0.008screate temporary table and update:real 0m0.643suser 0m0.064ssys 0m0.004s就测试结果来看,测试当时使⽤replace into性能较好。replace into 和insert into on duplicate key update的不同在于:replace into 操作本质是对重复的记录先delete 后insert,如果更新的字段不全会将缺失的字段置为缺省值insert into 则是只update重复记录,不会改变其它字段。/** * 将⼆维数组转换成CASE WHEN THEN的批量更新条件 * @param $data array ⼆维数组 * @param $field string 列名 * @return string sql语句 */ private function parseUpdate($data, $field,$table) { $sql = " update {$table} set "; $keys = array_keys(current($data)); foreach ($keys as $column) { $sql .= sprintf("`%s` = CASE `%s` n", $column, $field); foreach ($data as $line) { $sql .= sprintf("WHEN '%s' THEN '%s' n", $line[$field], $line[$column]); } $sql .= "END,"; } $fanhui = implode(',',array_column($data,'id')); return rtrim($sql, ',')." where id in ({$fanhui})"; }
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