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INSERT into Customer VALUES ( 0002 , Blum , Barbara , 123 Main St , Gary , IN , 46100 , 555-1234 )
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Customer ID Last Name First Name 0001 0002 Blum Blum Rich Barbara Address 123 Main St 123 Main St City Gary Gary State IN IN Zip 46100 46100 Phone 555-1234 555-1234
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Figure 1-6 Using a database log file
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The log file only contains transactions made to the database since the last database backup If for some reason the database becomes corrupted before a new backup, the administrator can restore the previous backup copy, and then apply the transactions stored in the log file to bring the database back to where it was before the crash When a new backup is complete, the database engine clears the log file and starts adding any new transactions As the log file fills up, a new log file is started, as long as there is available disk space on the hard drive
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Nested transactions are an advanced database concept that can further help isolate problems in transactions While the example transactions shown so far are pretty simplistic, in real-life databases transactions can become quite complicated It is not uncommon to run across applications where a single transaction must update dozens of tables Sometimes in these larger environments a single transaction will spawn child transactions that update tables separate from the parent transaction The child transactions are separate from the main parent transaction, but nonetheless are part of an overall transaction plan In these cases the overall result of the parent transaction is not dependant on the result of the child transaction If a child transaction fails, the parent transaction can continue operating In nested transactions, a child transaction can be separated from a parent transaction and treated as a separate entity If the child transaction fails, the parent transaction can still attempt to complete successfully PostgreSQL allows developers to use nested transactions in complex table modifications
Sub-selects
A sub-select, also called a sub-query by some DBMS packages, provides a method for chaining queries In a normal query, users query data contained in a single table An example of this would be to search for all the store customers that live in Chicago In a simple query, the user requests data from a table that matches a specific criterion based on data contained in the same table A sub-select allows the user to query data that is a result of another query on a separate table This provides for querying multiple tables based on complex criteria An example of a sub-select would be to create a query for all customers located in Chicago who purchased a laptop in the last month This would require performing a query on data contained in two separate tables The sub-select feature allows the database user to perform these complex queries using a single query command PostgreSQL allows users to create complex queries, often saving additional steps in the query process
Views
As we saw in the preceding section, developers can create complex queries to extract data from multiple tables However, for queries that span more than a couple of tables, a sub-select can become overly complex
1:
What Is PostgreSQL
Customer Table
Customer Last First Address City State Zip Phone ID Name Name
Product Table
Product Product Supplier Inventory ID Name
Order Table
Customer Product Quantity Cost ID ID
Customer ID Last Name First Name Product ID Product Name Quantity Cost
Figure 1-7 A view of customer order information
To help simplify complex query statements, some DBMS packages (including PostgreSQL) allow administrators to create views A view allows users to see (or view) data contained in separate database tables as if it were in a single table Instead of having to write a sub-select query to grab data from multiple places, all of the data is available in a single table To a query, a view looks like any other database table; however, it only contains fields from existing tables The DBMS can query views just like normal tables A view does not use any disk space in the database, as the data in the view is generated on-the-fly by the DBMS when it is used When the query is complete, the data disappears Figure 1-7 shows a sample view that could be created from the store database example The view in Figure 1-7 incorporates some of the customer data from the Customer table, product data from the Product table, and order data from the Order table into the single virtual table Queries can access all of the fields in the view as if they belonged to a single table In many DBMS products (including PostgreSQL), views are read-only, that is, users cannot alter data in a view This makes sense, in that the database engine artificially generates the data contained in the view Some more-complex DBMS products, such as Oracle, do allow data in views to be directly modified While PostgreSQL does not support this, it does include a method of using rules to get around this limitation
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