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Roles
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Of course, a huge factor in any DBMS package is security Different tables often require different access levels for users Data in a DBMS is protected by requiring each user to log into the DBMS using a specific userid The DBMS data dictionary maintains a list of userids, tables, and access levels Access to data in individual tables is controlled by the security list As many database administrators will attest, in an organization with lots of people coming and going, trying to maintain database security can be a full-time job To help database administrators perform this function, PostgreSQL uses a concept called roles Roles allow the database administrator to assign access privileges to a generic entity instead of assigning table rights directly to userids The database administrator can create separate roles for different types of access to different tables, as shown in Figure 1-8 In Figure 1-8, separate roles are defined for each type of access required for the tables The Salesperson role allows read access only to the Customer and Product tables The Accountants role allows read access to the Product table, plus write access to the Customer and Billing tables Once the roles are created, a database administrator can assign individual user accounts to the appropriate role, depending on the access required by the user If user Fred is an accountant, he is added to the Accountant role If user Barney is a salesperson, he is added to the Salesperson role If Barney takes night classes, then transfers to become an accountant, rather than have to figure out what access rights should be added or deleted, all the database administrator needs to do is move Barney s user account from the Salesperson role to the Accountant role Barney automatically has the appropriate accesses he needs to be an accountant This feature makes life much easier for database administrators
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Customer Table Fred read-only Barney Wilma Betty Salesman Role read-only Product Table
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read-only Accountant Role Billing Table write access
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Figure 1-8 Using roles in tables
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Table partitioning is a relatively new database concept that not all databases support It allows a database administrator to split a single large table into multiple smaller tables The database engine still treats the smaller tables as a single logical table, but directs queries and updates to the appropriate smaller table that contains the pertinent data This allows queries to be performed quicker, since they can be performed in parallel on several small tables, rather than having to trudge through a single large table searching for data It is common to partition data based on a physical attribute of the data, such as dates All data for a specific time period, such as a fiscal quarter, is stored in the same partition Queries requesting data for a specific quarter then only need to search the appropriate partition instead of the entire table Another benefit to table partitioning is table access speeds Once the logical table is divided into smaller physical tables, the database engine can store each table piece in a separate location on the server This allows the database engine to migrate sections of the table that are not used much to slower disk resources, while keeping more active sections of the table on quicker disk resources This is shown in Figure 1-9
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What Is PostgreSQL
Logical Customer Table Customer Table Partition A
Disk 1 Customer Table Partition B
Customer Table Partition C Disk 2
Figure 1-9 Using table partitioning on a large table
Partitions can also be migrated off of disk storage as the data on them is no longer needed It is common to have a rotation system where older partitions are moved to tape for long-term storage Of course, creating table partitions does produce some overhead The point at which using a table partition outweighs the overhead is a hotly debated topic in the database world The rule of thumb is to partition a table when its size becomes larger than the amount of memory available to the DBMS At this point the DBMS can no longer load the entire table into memory to perform operations, and must swap pieces out to the hard disk while it works PostgreSQL uses the object-relational property of table inheritance to implement table partitioning It does this by creating child tables as table partitions of a single parent table The parent table contains all of the required fields for the table, but no data Each child table contains the same fields as the parent table, but contains a different data set There are two methods to partition data between the child tables: Range partitioning List partitioning With range partitioning, data is divided into separate ranges based on a key value in the table Each range of data is stored in a separate child table (partition) This is extremely
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