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At this point, the data from what used to be partition one in the partitioned table is gone. For very large tables, this process can be much faster than the DELETE statement.

If you want to repartition a table, you have several options. The first option is splitting the partitions as shown above. The other option is converting the partitioned table into a nonpartitioned table (see the following section) and then converting it back to a partitioned table.



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There are several methods for partitioning a nonpartitioned table. The first method is creating a partitioned clustered index on the table using CREATE INDEX. This partitioned clustered index has the effect of partitioning and clustering the table. If there is already a partitioned clustered index on this table, you can create a new partitioned clustered index with the DROP EXISTING = ON clause. The second method is using the ALTER TABLE SWITCH statement and moving the nonpartitioned table to a partitioned table of the same data definitions. Once this has been accomplished, the ALTER PARTITION FUNCTION command can be used to split the partitioned table into the desired new partitions.





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The server will now be configured with your specified settings, and automatically started You will be presented with a success notification once all required tasks are complete You can now proceed to test the server as described in the section Testing MySQL, to ensure that everything is working as it should

Converting a partitioned table into a nonpartitioned table simply involves using the ALTER PARTITION FUNCTION statement with the MERGE R ANGE argument to remove all of the partitions. In essence, this leaves you with a partitioned table with one partition, which is essentially a nonpartitioned table with a partition function. Technically, you can then move the remaining partition of the partitioned table to a nonpartitioned table using the ALTER TABLE SWITCH statement.

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If a partition function and partition scheme are no longer being used, they can be dropped either by using SQL Server Management Studio or by using SQL statements. The scheme can be dropped with the DROP PARTITION SCHEME statement, and the partition function can be dropped with the DROP PARTITION FUNCTION statements. Both statements take the scheme or function name as a parameter. If any partitioned objects are using these functions or schemes, they cannot be dropped.

As with indexes, partitions require proper usage. In this section, you will learn how to best take advantage of partitions and how to properly use partitions. Later in this chapter, you will also be presented with a number of scenarios in which partitioning is useful and can help improve the performance of your system.

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Inserting data into a partitioned table is completely automatic. The data is routed to the correct partition without any intervention by the SQL Server engine. Simply insert data into the table.

Selecting data from a partitioned table is as simple as inserting data into the partitioned table. As with insertion, data is automatically selected from the appropriate partition or partitions. As with an index, if no partition column is mentioned in the WHERE clause of the SQL statement, all partitions will be used, thus bypassing the primary benefit of the partitioned table.

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It is possible to select data from a specific partition by using the $PARTITION function. However, this serves the same purpose as simply putting the proper WHERE clause into the query. Hence, partitioning is essentially automatic. In order to view information about the partitions and their configuration, see the earlier sections of this chapter.

I once consulted for a client using a third-party application intended for a hosted environment. The application vendor built partitioning into every table because of this model. For all of their pre-built queries and stored procedures, the partition

column was included. The issue occurred when ad-hoc users began querying the database by using another reporting tool. Some of the users did not include the partition column in their queries, thus causing the partition and sometimes the indexes to be bypassed, causing queries to run much more slowly than they should have run. So, remember to include the partition column in your query.

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