我很难形成条件插入
我有 x_table 列(实例、用户、项目),其中实例 ID 是唯一的.只有当用户已经没有给定的项目时,我才想插入一个新行.
I have x_table with columns (instance, user, item) where instance ID is unique. I want to insert a new row only if the user already does not have a given item.
例如尝试插入 instance=919191 user=123 item=456
For example trying to insert instance=919191 user=123 item=456
Insert into x_table (instance, user, item) values (919191, 123, 456)
ONLY IF there are no rows where user=123 and item=456
在正确方向上的任何帮助或指导将不胜感激.
Any help or guidance in the right direction would be much appreciated.
如果您的 DBMS 没有对您在执行插入时选择的表施加限制,请尝试:
If your DBMS does not impose limitations on which table you select from when you execute an insert, try:
INSERT INTO x_table(instance, user, item)
SELECT 919191, 123, 456
FROM dual
WHERE NOT EXISTS (SELECT * FROM x_table
WHERE user = 123
AND item = 456)
在这里,dual 是一个只有一行的表(最初在 Oracle 中发现,现在也在 mysql 中).逻辑是 SELECT 语句生成具有所需值的单行数据,但仅在尚未找到值时才生成.
In this, dual is a table with one row only (found originally in Oracle, now in mysql too). The logic is that the SELECT statement generates a single row of data with the required values, but only when the values are not already found.
或者,查看 MERGE 语句.
Alternatively, look at the MERGE statement.
这篇关于MySQL 条件插入的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持html5模板网!
如何有效地使用窗口函数根据 N 个先前值来决定How to use windowing functions efficiently to decide next N number of rows based on N number of previous values(如何有效地使用窗口函数根据
在“GROUP BY"中重用选择表达式的结果;条款reuse the result of a select expression in the quot;GROUP BYquot; clause?(在“GROUP BY中重用选择表达式的结果;条款?)
Pyspark DataFrameWriter jdbc 函数的 ignore 选项是忽略整Does ignore option of Pyspark DataFrameWriter jdbc function ignore entire transaction or just offending rows?(Pyspark DataFrameWriter jdbc 函数的 ig
使用 INSERT INTO table ON DUPLICATE KEY 时出错,使用 Error while using INSERT INTO table ON DUPLICATE KEY, using a for loop array(使用 INSERT INTO table ON DUPLICATE KEY 时出错,使用 for 循环数组
pyspark mysql jdbc load 调用 o23.load 时发生错误 没有合pyspark mysql jdbc load An error occurred while calling o23.load No suitable driver(pyspark mysql jdbc load 调用 o23.load 时发生错误 没有合适的
如何将 Apache Spark 与 MySQL 集成以将数据库表作为How to integrate Apache Spark with MySQL for reading database tables as a spark dataframe?(如何将 Apache Spark 与 MySQL 集成以将数据库表作为