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Drilling down: using SWITCH
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Using the SWITCH operation is conceptually much simpler than SPLIT and MERGE. All you do is ALTER the table and tell it what to swap. For example, in figure 2 we want to swap data into partitioned table P, partition 3, from staging table S. All that s required is this statement:
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ALTER TABLE dbo.P SWITCH PARTITION 3 TO dbo.S;
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In this case, staging table S was preloaded with data and an empty partition 3 was created using the SPLIT option. Then the ALTER TABLE with SWITCH command swaps the two, and in a matter of milliseconds the data from table S is in partition 3. Conversely, figure 3 shows data being swapped out of the tail of a partitioned table. Partition 1 has data we want to put into the staging table S. This is the command:
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ALTER TABLE dbo.S SWITCH TO dbo.P PARTITION 1;
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Once the data is out of partition 1, you can remove the boundary value for it using the MERGE option of the ALTER PARTITION FUNCTION command, and it ll merge into its neighboring partition.
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The key: avoiding data movement
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The key to loading and removing data quickly from partitioned tables is to use the metadata operations of SWITCH, SPLIT, and MERGE without incurring any data movement. Data movement occurs when an operation requires that SQL Server move data from one partition to another. The SWITCH operation always requires one side of the swap to be empty; therefore, it s always a metadata operation. On the other hand, it s possible that the SPLIT and MERGE operations, if you don t use them carefully, may cause data movement. If you SPLIT a loaded partition in such a way that some of the partition s data must be moved to a new partition, data movement will occur as SQL Server moves that data to a new partition of the table. You can avoid this data movement by always using SPLIT to create new partitions that will be empty. Similarly, if you MERGE two partitions of a table and each has data, then SQL Server must move data from one of the partitions into the final partition. If this is a lot of data, a lot of inserts will occur, resulting in a lot of I/O and potentially a lot of transaction log growth during the move operation. You can avoid data movement by always using MERGE with at least one empty partition.
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Here are a few places you can look for more information about table partitioning: For further information about all table partitioning topics, see SQL Server Books Online, for both SQL Server 2008 and 2005. Find the Partitioned Tables category in the Books Online Index tab. For a full discussion of SQL Server 2005 table partitioning, see the white paper, Partitioned Tables and Indexes in SQL Server 2005 at http:/ /msdn.microsoft.com/en-us/library/ms345146.aspx. For using table partitioning in data warehouses, see Strategies for Partitioning Relational Data Warehouses in Microsoft SQL Server at http:/ /www.microsoft.com/technet/prodtechnol/sql/2005/spdw.mspx. Finally, for a summary of best practices for table partitioning, see Top 10 Best Practices for Building a Large Scale Relational Data Warehouse at http:/ / sqlcat.com/top10lists/archive/2008/02/06/top-10-best-practices-for-buildinga-large-scale-relational-data-warehouse.aspx.
Some practical issues in table partitioning
Summary
Table partitioning is quite an involved topic, and in this chapter we only scratched the surface, but I hope we highlighted a couple of the most important bumps! These are the key takeaways:
RANGE RIGHT is generally more useful than RANGE LEFT for partition functions.
The key to making partition table data loading and removal fast is minimizing data movement, making sure SPLIT and MERGE are metadata operations only. In order to cover these issues, there are many important topics that had to be left out. Here are a few of them, which you can use as directions for research: Placing filegroups for partition schemes The NEXT USED property of filegroups in a partition scheme Creating a table on a partition scheme Partitioned indexes and index alignment The sliding-window scenario
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