TAILIEUCHUNG - How to Do Everything with Web 2.0 Mashups phần 4

82Simpo PDFDo Everything SplitWeb MashupsVersion - How to Merge and with Unregistered There is much more to SQL and database theory, but this is enough for you to manage the basics of mashup data retrieval. Create SQL Queries SQL lets you retrieve data by using queries. A query starts with the keyword SELECT, and it may include a variety of clauses. A SELECT statement always returns a table (although it may be empty). Here are some of the most basic SELECT uses. SELECT * from mytable; This selects all the rows and columns, and then returns them. SELECT * FROM mytable WHERE age . | 82SimpHolWO lrDd ergsythng SplhWh reỡ sVersion - http There is much more to SQL and database theory but this is enough for you to manage the basics of mashup data retrieval. Create SQL Queries SQL lets you retrieve data by using queries. A query starts with the keyword SELECT and it may include a variety of clauses. A SELECT statement always returns a table although it may be empty . Here are some of the most basic SELECT uses. SELECT from mytable This selects all the rows and columns and then returns them. SELECT FROM mytable WHERE age 21 This retrieves all the rows where the age column is less than 21. SELECT name address FROM mytable WHERE age 21 This retrieves only two columns name and address from the table but the WHERE condition is still enforced. To join two tables that is to retrieve data from two tables at the same time you generally need to use a relationship. The employee example cited previously can be implemented in this way. SELECT personaldata salarydata from personaltable salarytable WHERE personaldataID salarydataID This can work provided the columns personaldatalD and salarydatalD are set up to have the same values in the two tables for the same individual. This syntax is correct but a problem can quickly arise. As shown here the assumption is the column names in the two tables are always different. If they were not sorting out the duplicate names would be confusing. To manage this you can associate an identifier with each table rewriting the code as follows SELECT personaldata salarydata from WHERE The qualifiers p for personaltable and s for salarytable make the column names unique. In fact although this may appear as an extension to the basic syntax the SQL rule is this qualifiers are required unless the names of the columns makes them unnecessary. Qualifiers often are one character in length but they can be longer. By using qualifiers you can rewrite the .

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