最近几年来,地理信息系统无论是在理论上还是应用上都处在一个飞速发展的阶段。 GIS被应用于多个领域的建模和决策支持,如城市管理、区划、环境整治等等,地理信息成为信息时代重要的组成部分之一; “数字地球”概念的提出,更进一步推动了作为其技术支撑的GIS的发展。 与此同时,一些学者致力于相关的理论研究,如空间感知、空间数据误差、空间关系的形式化等等。 这恰好说明了地理信息系统作为应用技术和学科的两个方面,并且这两个方面构成了相互促进的发展过程。
SQLite’s GROUP BY Clause is used with SELECT Statement to group the same data.
In The following is given You can find it in the Hypothetical If you want to know the total salary of each customer, you can use the This will produce the following results: Now, let’s use the following Our table now has a record with duplicate names, as follows: Let’s use the same. This will produce the following results: Let’s put This will produce the following results: SELECT Statement, the GROUP BY clause is placed in the WHERE After the clause, put in ORDER BY Before the clause. 1.24.1. Grammar ¶
GROUP BY The basic grammar of the clause. GROUP BY Clause must be placed in the WHERE Clause, you must put it in the ORDER BY Before the clause.SELECT column-list FROM table_name WHERE [ conditions ] GROUP BY column1, column2....columnN ORDER BY column1, column2....columnN
GROUP BY Multiple columns are used in the clause. Make sure that the grouping you use is listed in the list. 1.24.2. Example ¶
COMPANY The table has the following records:ID NAME AGE ADDRESS SALARY ---------- ---------- ---------- ---------- ---------- 1 Paul 32 California 20000.0 2 Allen 25 Texas 15000.0 3 Teddy 23 Norway 20000.0 4 Mark 25 Rich-Mond 65000.0 5 David 27 Texas 85000.0 6 Kim 22 South-Hall 45000.0 7 James 24 Houston 10000.0
GROUP BY Query, as follows:sqlite> SELECT NAME, SUM(SALARY) FROM COMPANY GROUP BY NAME;
NAME SUM(SALARY) ---------- ----------- Allen 15000.0 David 85000.0 James 10000.0 Kim 45000.0 Mark 65000.0 Paul 20000.0 Teddy 20000.0
INSERT Statement in COMPANY Create three additional records in the table:INSERT INTO COMPANY VALUES (8, 'Paul', 24, 'Houston', 20000.00 ); INSERT INTO COMPANY VALUES (9, 'James', 44, 'Norway', 5000.00 ); INSERT INTO COMPANY VALUES (10, 'James', 45, 'Texas', 5000.00 );
ID NAME AGE ADDRESS SALARY ---------- ---------- ---------- ---------- ---------- 1 Paul 32 California 20000.0 2 Allen 25 Texas 15000.0 3 Teddy 23 Norway 20000.0 4 Mark 25 Rich-Mond 65000.0 5 David 27 Texas 85000.0 6 Kim 22 South-Hall 45000.0 7 James 24 Houston 10000.0 8 Paul 24 Houston 20000.0 9 James 44 Norway 5000.0 10 James 45 Texas 5000.0
GROUP BY Statement to press on all records NAME Columns are grouped as follows:sqlite> SELECT NAME, SUM(SALARY) FROM COMPANY GROUP BY NAME ORDER BY NAME;
NAME SUM(SALARY) ---------- ----------- Allen 15000 David 85000 James 20000 Kim 45000 Mark 65000 Paul 40000 Teddy 20000
ORDER BY Clause vs. GROUP BY Clause is used together, as followssqlite> SELECT NAME, SUM(SALARY) FROM COMPANY GROUP BY NAME ORDER BY NAME DESC;
NAME SUM(SALARY) ---------- ----------- Teddy 20000 Paul 40000 Mark 65000 Kim 45000 James 20000 David 85000 Allen 15000