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hapter 6 covered the basics of interacting with your PostgreSQL system using SQL This chapter extends that thought, presenting some more advanced SQL topics that will help you handle data within your PostgreSQL system As was mentioned in 6, the SELECT command is possibly the most complex of the SQL commands This chapter picks up on the discussion of the SELECT command and shows all of the options that can be used when querying a database After that, table views are discussed Views allow you to group data elements from multiple tables into a single virtual table, making querying data much easier Following views, indexes are covered Creating indexes on heavily queried columns can greatly speed up the query process Next, the idea of transactions is demonstrated Transactions allow you to group SQL commands together in a single operation that is processed by the database engine The chapter finishes by discussing cursors Cursors are used to help maneuver around a result set produced by a SELECT command They can be used to control how you view the result set
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REVISITING THE SELECT COMMAND
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6 showed how easy it can be to query data from database tables using the SELECT command Now that you have a rough idea about how to handle the SELECT command, it is time to dig a little deeper and look at all of the features it offers The official format of the SELECT command can be somewhat daunting Besides the many standard ANSI SQL SELECT command parameters, there are also a few features that PostgreSQL has added that only apply to PostgreSQL Here is the SELECT command format as shown in the official PostgreSQL documentation:
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SELECT [ALL | DISTINCT [ON (expression [,] ) ] ] * | expression [AS output_name ] [, ] [ FROM from_list [, ] ] [ WHERE condition ] [ GROUP BY expression [,] ] [ HAVING condition [,] ] [ (UNION | INTERSECT | EXCEPT) [ ALL ] select ] [ ORDER BY expression [ ASC | DESC | USING operator ] [,] ] [ LIMIT ( count | ALL ) ] [ OFFSET start ] [ FOR (UPDATE | SHARE ) [ OF table_name [,] [ NOWAIT ] ]
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This is about as complex of a command as you can possibly get in the SQL command world The best way to look at this is to walk through the various parameters one by one and discuss each feature individually The following sections do just that
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The DISTINCT Clause
[ALL | DISTINCT [ON (expression [,] ) ] ]
The DISTINCT clause section defines how the SELECT command handles duplicate records in the table The ALL parameter defines that all records that are returned in the result set will be displayed in the SELECT command output, even if there are duplicates This is the default behavior if neither of these parameters is specified in the DISTINCT clause The DISTINCT parameter specifies that when more than one record in a result set has the same values, only the first record is displayed in the output The duplicate records are suppressed This can be beneficial if you have tables that may contain duplicate information By default DISTINCT only eliminates records that are complete duplicates (all the column values match) You can use the ON option to define which column (or a commaseparated list of columns) to compare for duplicates The most common use for the DISTINCT clause is to display a list of the distinct number of values for a specific data column For example, if you need to produce a report on all the cities you have customers in, you would want only one occurrence of each individual city, not one for each customer To do this you could use the following SQL command:
test=> select distinct on ("City") "City", "State" from store"Customer"; City | State + Chicago | IL Gary | IN Hammond | IN (3 rows) test=>
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