Data 3 Consider the combination of the above two situations
When the above two situations are together, the situation will be more complicated, because in our solution, the main body of multi-language and information is loosely coupled, and if loose coupling is not guaranteed to be universal and scalable, the loose coupling can cause problems in multiple table operations in data sets.
Because of loose coupling, so in the dataset automatically update t
, then other operations will be performed, so on is arguably the quickest.On multi-table queries, on is more effective than where. The system first synthesizes a temporary table based on the conditions of the joins between the tables, then the where is filtered, then calculated, and then filtered by having. Thus, to filter the conditions to play the right role, first of all to understand when this condition should play a role, and then decided to put
still need to sort it by the created field in the post table, that is to say, the sorting field is not in the driver table, so "Using filesort" and even "Using temporary" are inevitable 」.
Knowing the ins and outs makes optimization easy. To ensure that the sorting fields are in the driving table as much as possible, you must use post as the driving table. Therefore, you must use STRAIGHT_JOIN to force the join order.
In fact, in some special cases,
rows were not deleted. Instead, the SQL SERVER crashed and the results were surprising. I tried to execute this statement separately to query tables with nearly 10 million rows. It took 4 seconds for a statement and 18 seconds for Statement 2, which is quite different. Statement 3 is more efficient than Statement 3.
The second method is taboo, which should be avoided as much as possible. The first and third methods are essentially the same.
Assuming
Label:Original: MySQL not in, left join, is NULL, not EXISTS efficiency problem recordMySQL not in, left joins, is NULL, not EXISTS efficiency problem records, the need for friends can refer to. No in , JOIN, is NULL, not exists efficiency comparisonStatement one: SELECT COUNT (*) from A where a.a not in (select A from B)Statement two: SELECT COUNT (*) from A le
1 using () is used for join queries on two tables. The column specified by using () must exist in both tables and is used as the join condition. Example: select. *, B. * from a left join B using (colA); equivalent to: select. *, B. * from a left
; SELECT * from Table1,table2 WHERE table1.id=table2.id;Mysql> SELECT * FROM table1 left JOIN table2 on table1.id=table2.id;Mysql> SELECT * FROM table1 left JOIN table2 USING (ID);Mysql> SELECT * FROM table1 left JOIN table2 on ta
were not deleted. Instead, the SQL SERVER crashed and the results were surprising. I tried to execute this statement separately to query tables with nearly 10 million rows. It took 4 seconds for a statement and 18 seconds for Statement 2, which is quite different. Statement 3 is more efficient than Statement 3.The second method is taboo, which should be avoided as much as possible. The first and third methods are essentially the same.Assuming that th
1 A, B two tables altogether select * from Tbl_emp a inner joins tbl_dept b on a.deptid = B.id;2 A, b two tables shared +a unique select * FROM Tbl_emp a LEFT join Tbl_dept b on a.deptid = B.id;3 A, b two table unique SELECT * FROM Tbl_emp a right join tbl_dept b on a.deptid = b.id;4 a exclusive Select * FROM Tbl_emp a
I have mentioned on the Internet that multi-table join queries have very low performance and try to avoid join operations. I also encountered this big problem in the project. some reports need several tables for join queries to get data, however, too much data in the table will increase the query time. I tried to repla
I don't know if anyone has encountered such a disgusting problem: two tables are connected to the query and limit. SQL is very efficient. However, after order by is added, the statement execution time has become very long, extremely low efficiency.
This is the case: there are two tables, team table and people table. Each people belongs to a team and there is a field team_id in people.The following table cr
For illustrative purposes, we now have two tables, namely the commodity table (products) and the Sales_detail (Sales record sheet). We mainly use these two tables to tell the difference between the left join condition on MySQL and the Where condition.1. Data preparationCreate a Products table and insert dataDrop Table
Tags: io color ar using SP data div on artIn addition to the usual two table joins, the SQL (MySQL) JOIN syntax also supports multiple table joins. The basic syntax for multiple table joins is as follows:
1
...FROMtable1INNER|LEFT|RIGHTJOINtable2ONconditionINNER|LEFT|RIGHTJOIN table3ONcondition ...
CORPSMSFILTERINFO;TRUNCATE TABLE CORPSMSINFO;TRUNCATE TABLE EABASEREGINFOS;TRUNCATE TABLE EACORPBLOB;TRUNCATE TABLE EACORPINFO;........
In this way, it is improved:
The code is as follows:
Mysql-N-s information_schema-e "select concat ('truncate table', TABLE_NAME, ';') from tables where TABLE_SCHEMA = 'eab12'" | mysql eab12
Clear all
MySQL study Notes-insert row records into data tables
1. use the INSERT statement to INSERT new data
Syntax:
INSERT [INTO] tbl_name [(col_name,...)] VALUES (pression ,...),...
INSERT [INTO] tbl_name SET col_name = expression ,...
Let's start to use the INSERT statement to add records. this is an SQL statement. you need to specify the table for which you want to INSERT data rows or the table that puts value
In MySQL, there is only one join algorithm, the famous Nested Loop Join, which does not have the Hash join provided by many other databases, nor does the Sort Merge join. As the name suggests, the Nested loop Join actually uses th
I wonder if anyone has ever had such a disgusting problem: Two tables connection query and limit,sql efficiency is very high, but add order by after, the execution time of the statement becomes huge, the efficiency is very low.
The situation is the case: there are now two tables, a team table and a people table, each people belonging to a team,people with a field team_id.
The following is a table statement
In MySQL paging optimization, when does the "inner join mode optimization paging algorithm" take effect ?, Innerjoin
Source: http://www.cnblogs.com/wy123/p/7003157.html
I recently accidentally saw a MySQL paging optimization test case. I did not explain the test scenario very specifically. I gave a classic solution,In reality, many situations are not fixed, so
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