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The FROM and WHERE clauses are not mandatory, however you will find that they are almost always implemented in order to specify exactly which rows are to be modified, based on joins against one or more tables. In this example, assume that a specific product, Full-Finger Gloves, M from the Production. Product table has a customer purchase limit of two units per customer. For this query's requirement, any shopping cart with a quantity of more than two units for this product should immediately be adjusted back to the required limit: UPDATE Sales.ShoppingCartItem SET Quantity =2, ModifiedDate = GETDATE() FROM Sales.ShoppingCartItem c INNER JOIN Production.Product p ON c.ProductID = p.ProductID WHERE p.Name = 'Full-Finger Gloves, c.Quantity > 2

CALL CPU_Time(Seconds)

Stepping through the code, the first line shows the table to be updated: UPDATE Sales.ShoppingCartItem Next, the columns to be updated are designated in the SET clause: SET Quantity =2, ModifiedDate = GETDATE() Now here comes the optional FROM clause where the Sales.ShoppingCartItem and Production.Product tables are joined by ProductID. As you can see, the object being updated can also be referenced in the FROM clause. The reference in the UPDATE and in the FROM are treated as the same table: FROM Sales.ShoppingCartItem c INNER JOIN Production.Product p ON c.ProductID = p.P roductID Using the updated table in the FROM clause allows you to join to other tables. Presumably, those other joined tables will be used to filter the updated rows, or to provide values for the updated rows. The WHERE clause specifies that only the Full-Finger Gloves, M product in the Sales.ShoppingCartItem should be modified, and only if the Quantity is greater than 2 units: WHERE p.Name = 'Full-Finger Gloves, c.Quantity > 2 M ' AND

ImageMagick can also take groups of images and turn them into a single image. I ll cover those commands in the following sections.

Cshift(ARRAY, SHIFT[,DIM])

Now, I ll query the sys.dm_exec_query_stats dynamic management view, which contains statistical information regarding queries cached on the SQL Server instance. This view contains a sql_handle, which I ll use as an input to the sys.dm_exec_sql_text dynamic management function. This function is used to return the text of a Transact-SQL statement: t.text, st.total_logical_reads, st.total_physical_reads, st.total_elapsed_time/1000000 Total_Time_Secs, st.total_logical_writes FROM sys.dm_exec_query_stats st CROSS APPLY sys.dm_exec_sql_text(st.sql_handle) t This returns: text total logical_reads total_physical_reads Total_Time_Secs total_ logical_ writes 3 7 0 SELECT

This recipe demonstrated clearing the procedure cache, then executing a query that took a few seconds to finish executing. After that, the sys.sm_exec_query_stats dynamic management view was queried to return statistics about the cached execution plan. The SELECT clause retrieved information on the Transact-SQL text of the query, number of logical and physical reads, total time elapsed in seconds, and logical writes (if any): SELECT t.text, st.total_logical_reads, st.total_physical_reads, st.total_elapsed_time/1000000 Total_Time_Secs, st.total_logical_writes

ARRAY: Any Type; SHIFT: INTEGER; DIM: INTEGER (optional)

The total elapsed time column was in microseconds, so it was divided by 1000000 in order to return the number of full seconds. In the FROM clause, the sys.dm_exec_query_stats dynamic management view was cross applied against the sys.dm_exec_sql_text dynamic management function in order to retrieve the SQL text of the cached query: FROM sys.dm_exec_query_stats st CROSS APPLY sys.dm_exec_sql_text(st.sql_handle) t This information is useful for identifying read- and/or write-intensive queries, helping you determine which queries should be optimized. Keep in mind that this recipe s query can only retrieve information on queries still in the cache. This query returned the totals, but the sys.dm_exec_query_stats also includes columns that track the min, max, and last measurements for reads and writes. Also note that the sys.dm_exec_query_stats has other useful columns that can measure CPU time (total_worker_time, last_worker_time, min_worker_time, and max_worker_time) and .NET CLR object execution time (total_clr_time, last_clr_time, min_clr_time, max_clr_time).

CALL DATE_AND_ TIME([DATE, TIME, ZONE, VALUES])

As I discussed in 22, the AUTO_CREATE_STATISTICS database option enables SQL Server to automatically generate statistical information regarding the distribution of values in a column. The AUTO_UPDATE_STATISTICS database option automatically updates existing statistics on your table or indexed view. Unless you have a very good reason for doing so, these options should never be disabled in your database, as they are critical for good query performance. Statistics are critical for efficient query processing and performance, allowing SQL Server to choose the correct physical operations when generating an execution plan. Table and indexed view statistics, which can be created manually or generated automatically by SQL Server, collect information that is used by SQL Server to generate efficient query execution plans. The next few recipes will demonstrate how to work directly with statistics. When reading these recipes, remember to let SQL Server manage the automatic creation and update of statistics in your databases whenever possible. Save most of these commands for special troubleshooting circumstances or when you ve made significant data changes (for example, executing sp_updatestats right after a large data load).

Let s say you want to append some images together to form a strip. For example, say you have the three images shown in Figure 6-35, Figure 6-36, and Figure 6-37.