condition: SELECT statements with ON conditions are constraints for filtering the intermediate table. In a single table query without an ON clause, it is a restriction ON the return records of physical tables or intermediate query results. In a two-table or multi-table join, the join is restricted to the final result returned from the intermediate table.It can b
1. Join and where1) Inner join and out jion (left join, right join, full join): produces join results for two or more tables, but the latter may have null results.
); then select the corresponding Column Based on the Select column to return the final result.2. join queries for two tables: product (Cartesian Product) of the two tables and filter using the on condition and connection type to form an intermediate table. Then, filter records of the intermediate table based on the wh
In-depth understanding of four SQL connections-left outer join, right outer join, inner join, and full link bitsCN.com
1. INNER JOIN(Typical join operations use comparison operators such as = or The inner
bulk update, make an internal connection, update the condition table by updating the primary Table So_master Table Association T1, and then T2 get the updated value, T1 and update the main table So_master through the Foreign Key Association, T2 is T1 according to the T2 Ordinal Association, and then add all the query criteria , The main is the column with the updated value Lotteryno Other SQL Introduction: The following
Left JOIN, Inner join related content, very practical, for understanding the principle and specific applications are very helpful! The LEFT join is a shorthand for the left outer join, and the left join defaults to the outer property. The Inner
result of its query is the main left table student, student corresponding to the StudentID in the right table Borrowbook if it does not exist, it will be replaced with a null value. 2) Right Join The right and left connections, instead, return all rows of the right table. If a row in the right table does not have a matching row in the left table, a null value will be returned for left table (NULL). Let's l
a20050115 NULL NULL(The number of rows affected is 5 rows)Result Description:The left join is based on the records of Table A, a can be regarded as the right table, and B can be regarded as left table.In other words, the records of the left table (A) will all be represented, and the right table (B) will only display records that match the search criteria (in the example: A.aid = b.bid).The low-record of table B is null.
-conforming values are displayed as null.4. Complete External join: full join or full outer join (1) The Complete External join returns all rows in the left and right tables. If a row does not match a row in another table, the selection list column of the other table contain
Label:SQL JOIN SQL Join is used to query data from these tables based on the relationship between the columns in two or more tables Sometimes in order to get the complete result, we need to get the result from two or more tables,
SQL table join query (inner join, full join, left join, right join)
Prerequisites: Assume that there are two tables, one is the student table and the other is the student renewal table
clauses containing Table 2 return the corresponding fields of Table 1 Based on the specified conditions. The non-conforming fields are displayed as null.4. Complete External join: Full join or full outer join(1) The Complete External join returns all rows in the left and ri
publisher equals book. publisher into publisherbooks select new {publisher = publisher. name, books = publisherbooks}; gridviewgroupjoin. databind ();
AboveCodeIs the so-called "group connection ". It groups the books of each publishing house into publisherbooks and binds them together. This code is consistent with the running result of the following code.
VaR x = from book in sampledata. Books Group book by book. Publisher into bookpublishers select new {publisher = bookpublishers. Key. Na
BID bname1 a20050111 1 20060324012 a20050112 2 20060324023 a20050113 3 20060324034 a20050114 4 2006032404NULL NULL 8 2006032408(The number of rows affected is 5 rows)Result Description:Looking closely, you will find that the result of the left join is exactly the opposite, this time it is based on the right table (B), where a table is not enough to fill with null.3.inner JoinThe
right table, regardless of whether the table on the left has matching data: Select S.name,m.mark from student s right join Mark M on S.id=m.studentid Iv. fully connected-full join: Using the format as above has been explained above Remove the data from the left and right two tables, whether or not they match: Select S.name,m.mark from student s full
two results were met, and the results were as follows: Second, left join connect-left join: Left join is to select all the tuples from the left table: Select S.name,m.mark from student s left join Mark M on S.id=m.studentid The above statement is the left side of the table, that is, the tuple in the student table is
elements are in a, not in B, and vice versa.Set Set "B" AA BB -- ------ -------- 1 3 24 3 5 4 6Left OUTER JOINNow execute the following SQL statement (left connection, OUTER join):SELECT * from Left OUTER JOIN on = BbYou will get the following result (blank element representation NULL ):AA BB -- ------ -------- 1 2
-right join: The right connection is to remove all data from the right table, regardless of whether the table on the left has matching data: Select S.name,m.mark from student s right join Mark M on S.id=m.studentid The above statement takes all the data from the Mark score table, regardless of whether there is a data match in the student table, as shown in: Iv. fully connected-full
: The right connection is to remove all data from the right table, regardless of whether the table on the left has matching data: Select S.name,m.mark from student s right join Mark M on S.id=m.studentid The above statement takes all the data from the Mark score table, regardless of whether there is a data match in the student table, as shown in: Iv. fully connected-full join: Remove the data from the lef
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