difference between inner join and outer join

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Hive various joins (left OUTER join, join, full outer join)

First, the concept 1. Left join the left outer join To the left table, go to the right table to find the same field, if more than one will be listed in sequence 2. Connect Join Find the same records around the same 3. Fully connected full outer

The difference between the SQL query condition placed on the left OUTER JOIN and the Where

simple because it is a left join, explained below: We know that the logic of the left join is a table or that the data in the primary table will appear in the final result set, so what does the "a.isdel=0" condition play in the process of the LEFT JOIN in statement 3? The function is that the system in the left joint, the first in a table with "a.isdel=0" condit

MySQL Learning (iii)-subqueries (where, from, exists) and connection queries (left JOIN, right join, INNER join, union join)

Label: Similarly, using the goods table to practice subqueries, the table structure is as follows: All data (cat_id associated with category.cat_id): Category table: Mingoods (test when connecting queries) First, sub-query 1,where sub-query: The result of the inner query as the comparison condition of the outer query 1.1 One item with the largest query ID (implemented using sort + paging) :mysql> SELEC

SQL database inner JOIN, Join,left Join,full join

Label:--Build Table Table1,table2:CREATE TABLE table1 (ID int,name varchar (10))CREATE TABLE table2 (ID int,score int)Insert INTO table1 Select 1,leeInsert INTO table1 Select 2,zhangInsert INTO table1 Select 4,wangInsert INTO table2 Select 1,90Insert INTO table2 Select 2,100Insert INTO table2 select 3,70such as table-------------------------------------------------Table1 | table2 |-------------------------------------------------ID Name |id Score |1 Lee | 90 |2 Zhang 100 |4 Wang |3 70 |---------

SQL-SERVER table join, outer join, and cross join

columns in the connected table, including duplicate columns, are listed in the query results. 2. Unequal join: Use a comparison operator other than the equal operator to compare the column values of the connected columns. These operators include >,>=, 3. Natural join: Use the equal to (=) operator in the connection condition to compare the column values in the connected column. However, it uses the select

Multi-table join (inner join/left join/right join)

Inner join There are two tables A and B. The structure of Table A is as follows: Aid: int; identifies the seed, primary key, and auto-increment ID Aname: varchar The data, that is, the records from select * From A, are shown in 1: Figure 1: data in Table Table B has the following structure: Bid: int; identifies the seed, primary key, and auto-increment ID Bnameid: int Data, that

Use of SQL to join left join, right join, and inner join

based on WHO, and only records meeting the conditions are displayed.--------------------------------------------Note:The left join operation is used to combine records of the source table in any from clause. Use the left join operation to create a left Outer Join. The outer

Usage of the left Outer Join and right Outer Join in Oracle, (+) symbol usage

1. Internal Connection is simpleSelect a. *, B. * from a, B where a. ID = B. IDSelect a. *, B. * from a inner join B on A. ID = B. IDThe above two statements are completely equivalent. 2. left Outer JoinSelect * from EMP a left join dept D on A. deptno = D. deptnoSelect * from emp a, DEPT d Where a. deptno = D. deptno

Simple =, join, left out join, right Outer Join, cross join

A. = Eg. Select a. a B. B from a, B where a. A = B. A and A. C = 'herengang '; Under this condition, it only shows the data that a. A = B. A and A. C = "herengang ". Although it there is data which. C is "herengang", but if we can't find such record which. A value equals to. A in Table B, then it will be cleared. B. Left join Select a. a, B. From Table Left join Table B On a. A = B. A and A. C = "herengang"

Table join comparison: left join/right join/inner join

2006032402 3 a20050113 3 2006032403 4 a20050114 4 2006032404 Null null 8 2006032408 (The number of affected rows is 5) Result description: After careful observation, we will find that the result of left join is exactly the opposite. This time, it is based on the right table (B) and is filled with null when table A is insufficient. 3. Inner join The SQL stateme

Inner join on and where = difference!

data in both tables is displayedLeft join: Understood to be "there is display", such as on A.field=b.field, displays all the data present in table A and the data in A and B, the data in A and B does not appear as nullRight join: Understood to be "show on display", such as on A.field=b.field, displays all the data present in table B and the data in A, B, and the data in B that is not in a, null displayFull

MySQL connection left join,right Join,inner Join statement usage

connection A and B table is the same as the result of the left coupling B and a, which means: Select A.name B.name from the left of Join B on A.id=b.id And the result of the execution of the select A.name b.name from B right Join A is the same. 3. Full join: Takes out all records of a joined field in two tables to form a recordset's

Collation of table join statements for Oracle Outer Join and cross join

The following articles mainly describe the table connection statements for Oracle Outer join and cross join. Oracle database connections include the inner join statements) oracle Outer join

SQL syntax: Inner join on, left join in, right join on specific usage

. This is the most frequently used join type. The Inner join combines the records in these tables only if there is a matching value on the public field of the two tables. The ability to use INNER JOIN for departments and Employees tables to select all employees in each depar

SQL syntax: Inner join on, left join in, right join on detailed usage method

two tables. You can use INNER JOIN for departments and Employees tables to select all employees in each department. Instead, you can create an outer join by using a LEFT JOIN or right JOIN operation to select all the parts (even

Database Left join, Right Join, and Inner Join are very useful.

I. Let's take a look at some of the simplest examples. Example TableAid adate1 a12 a23 a3 TableB Bid bdate1 b12 b24 b4Two tables a and B are connected. fields with the same id must be retrieved.Select * from a inner join B on a. aid = B. bid this is only used to retrieve matching data.In this case, the following information is taken:1 a1 b12 a2 b2 Then left join

Database left join, right join, and inner join are very useful.

I. Let's take a look at some of the simplest examples. Example TableAid adate1 A12 A23 A3 Tableb Bid bdate1 B12 B24 B4Two tables A and B are connected. fields with the same ID must be retrieved.Select * from a inner join B on A. Aid = B. Bid this is only used to retrieve matching data.In this case, the following information is taken:1 A1 B12 A2 B2 Then left jo

Inner join in SQL, left join, right join

Label:Left join the left JOIN, That is, the meaning of the left outer join is that the data in the table that restricts the right end of the connection keyword must satisfy the join condition , and the contents of the left-hand table are output if the data in the table in th

The difference between a SQL-optimized query statement using INNER JOIN as a filter condition and where as a filter condition

own is implemented in the first way, the focus on the index, statistics, and so on above, how can not find the reason Found in poor performance itself here I just cite a simple example that is actually difficult to simulate the actual logic This question puzzled me for a long time, At first, I didn't think of the reason for the difference between filtering and directly placing in the where condition using the IN

The difference between an inner join and an equivalent connection

The difference between an inner join and an equivalent connection url:http://blog.csdn.net/dba_waterbin/article/details/8458193 The inner join is the result set that satisfies the join condition, which is relative to the

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