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IGNORE_DUP_KEY
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If you have an index defined as UNIQUE, then no matter how hard you try, you cannot add a new row whose values in the index columns match the values of any current row. However, there are two actions that you can perform, depending on this setting within an index. When performing multirow inserts, if the IGNORE_DUP_KEY option is specified, then no error is generated within SQL Server if some of the rows being inserted violate the unique index.
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CHAPTER 6 CREATING INDEXES AND DATABASE DIAGRAMMING
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Only a warning message is issued. The rows that violated the unique index are not inserted, although all other rows are inserted successfully. When performing multirow inserts, if the IGNORE_DUP_KEY option is omitted, then an error message is generated within SQL Server if some of the rows violate the unique index. The batch is rolled back, and no rows are inserted into the table.
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Caution The system variable called @@ERROR can be tested after every SQL Server action to see if there has been an error in any item of work or through another error handling command called Try/Catch. If there has been an error, some sort of error handling within the batch will usually be performed. If you have IGNORE_DUP_KEY, then no error will be produced when there is an attempt to insert a duplicate row, and the batch will run as if everything had been inserted. So, be warned: it may look like everything has worked, but in fact some rows were not inserted!
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DROP_EXISTING
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When data is being inserted and modified, there will be times when an index bloats to a less than ideal state. Just as an Access database may need to be compacted, indexes within SQL Server also need to be compacted sometimes. Compacting the index will speed up performance and reclaim disk space by removing fragmentation of the index. To compact an index, you recreate the index without actually modifying the columns or, in fact, starting from scratch and having to rebuild the whole index and visiting every row within the table. The DROP_EXISTING clause provides enhanced performance when rebuilding a clustered index compared to a DROP INDEX command followed by a CREATE INDEX command. Nonclustered indexes are rebuilt every time the clustered index for a table is rebuilt. So, if you drop a clustered index and then re-create it, the existing nonclustered indexes are rebuilt twice: once from the drop and once from the creation. DROP_EXISTING also allows an existing index to be rebuilt without explicitly dropping and re-creating the index. This is particularly useful for rebuilding primary key indexes. As other tables may reference a primary key, it may be necessary to drop all foreign keys in these other tables prior to dropping the primary key. By specifying the DROP_EXISTING clause, SQL Server will rebuild the index without affecting the primary key constraint.
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Creating an Index in Query Editor: Template
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Not surprisingly, there is a template within Query Editor that you can use as a basis for creating an index. We ll look at this process first, before we build an index natively in Query Editor, as this creates the basis of the SQL syntax for the creation of the index.
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Try It Out: Using a Query Editor Template to Build an Index
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1. Ensure that Template Explorer is open (press Ctrl+Alt+T or select View Template Explorer). Navigate to the Index node and expand it. Select the Create Index Basic node and double-click (see Figure 6-4).
CHAPTER 6 CREATING INDEXES AND DATABASE DIAGRAMMING
Figure 6-4. Selecting the Create Index Basic node 2. A new editor will open with the following code in it. The template that is installed is based on the AdventureWorks example. As you saw in the previous chapter, you can create new templates or modify this one. -- ============================================= -- Create index basic template -- ============================================= USE <database_name, sysname, AdventureWorks> GO CREATE INDEX <index_name, sysname, ind_test> ON <schema_name, sysname, Person>.<table_name, sysname, Address> ( <column_name1, sysname, PostalCode> ) GO 3. Alter the template by either changing the code or using the Specify Values for Template Parameters option, which will make the index creating easier. The button should be on the SQL Editor toolbar (see Figure 6-5).
Figure 6-5. The Specify Values for Template Parameters button 4. Change the database to the example database, name the index (in this case, it has been named after the table), set schema_name to CustomerDetails, table_name to CustomerProducts, and column_name1 to CustomerId (see Figure 6-6). Then click OK.
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