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CREATE PARTITION FUNCTION pf (int) AS
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RANGE LEFT FOR VALUES (1000, 2000, 3000, 4000, 5000);
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CREATE PARTITION SCHEME ps AS
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PARTITION pf TO
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([FG1], [FG2], [FG3], [FG4], [FG5], [FG6])
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CREATE TABLE dbo.CustomerAddress
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(CustomerAddressID int AddressTypeID tinyint PrimaryAddressFlag bit AddressLine1 varchar(30) AddressLine2 varchar(30) AddressLine3 varchar(30) City varchar(50) StateProvinceID int PostalCode char(10) CountryID int ON ps(CustomerAddressID);
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IDENTITY(1,1) PRIMARY KEY CLUSTERED,
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NOT NULL,
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NOT NULL,
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12
Designing the Physical Database
This statement dictates the following:
Creates the dbo.CustomerAddress with the specified definition Stores the table on the partition scheme ps Uses the CustomerAddressID column in the table to determine which rows in the table belong within a given partition
As data is added to the table, any rows with a CustomerAddressID of 1000 or less fall into partition 1 and be stored on FG1, addresses with an ID of 1001 to 2000 fall into partition 2 and be stored on FG2, and so on.
Included Columns
An example of a partitioned index on this same table is as follows:
CREATE NONCLUSTERED INDEX idx_CustomerAddress_City ON dbo.CustomerAddress(City) ON ps(CustomerAddressID);
There is an interesting piece of syntax here. The index is defined on the City column. However, the index is partitioned by a column that does not even exist in the defini tion of the index. Included columns are discussed in detail in Lesson 3. The column(s) that make up the clustered index are automatically migrated into any index created against the table, which enables the indexes to be partitioned in the same way as the table. The reason why this is important will be discussed further in Lesson 5. When this index is created, the portion of the index that corresponds to a CustomerAddressID less than or equal to 1000 will be stored in FG1, the portion for 1001 to 2000 will be stored in FG2, and so on.
Partitioning an Existing Table or Index
You can partition an existing table or index without needing to drop and re-create it. If you drop a clustered index and re-create it on another filegroup, the entire table is moved into the same filegroup as the clustered index. This same process can be used to partition a table or index that already exists by using the following process: 1. Create a partition function. 2. Create a partition scheme.
Lesson 1: Designing Database Tables
3. Drop the existing clustered index. 4. Re-create the clustered index on the partition scheme. The table is automatically partitioned according to the partition scheme on which the clustered index is placed by using the partition function that is mapped to the parti tion scheme. The clustering key is automatically migrated into each nonclustered index as an included column, and each nonclustered index is partitioned the same way as the table. Each nonclustered index can also be partitioned by using a partition function and scheme different from the table. The clustered index cannot be partitioned differently from the table.
Quick Check
Which clause is used to partition a table or index The ON clause is used to partition tables and indexes. Instead of specifying a filegroup, a partition scheme is specified.
Quick Check Answer
Practice: Creating a Table and Implementing Constraints
In these exercises, you construct a table and constraints.
Exercise 1: Creating a Table
In this exercise, you create three tables that will be used with the CustomerAddress table already created: Customer, StateProvince, and Country. (If you haven t already created the CustomerAddress table, see the examples earlier in this lesson.) The Cus tomer table will capture the name of a customer, a value for the credit line, a value for the outstanding balance, a computation for available credit, and the date on which the customer record was created. The StateProvince table will contain a text-based col umn that will store a list of the valid states or provinces recognized by this company. The Country table will contain a text-based column that will store a list of the valid countries. Remember to create a column to reference each of the rows as you did with the CustomerAddress table. 1. Launch SQL Server Management Studio (SSMS), connect to your instance, and open a new query window.
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