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On my system, this command returned the following output (wrapped for clarity):

LogTime Reads SQL_Text ----------------------- ----- ------------------------------------2009-04-07 00:05:19.137 5337 SELECT * FROM Production.Products AS p CROSS JOIN Sales.OrderDetails AS od;

At this point, we have achieved our original objective of locating commands exceeding 4,000 logical reads .

SOAPMessage priceMsg = con.call(msg, endPoint); // Inspect the results to obtain price String priceString = msg.getSOAPPart().getSOAPEnvelope() .getSOAPBody().getChild("GetProductPriceResponse", Namespace.getNamespace("m", "MyCompany-URI")) .getTextTrim(); return Double.parseDouble(priceString); } catch(Exception e) { throw new ProductPricingException(productId, "Unable to obtain price."); } // end getProductPrice()

Now that we have seen how to implement a scenario using Extended Events, it is worth spending some time further exploring some of the concepts involved . We ll look further at the asynchronous_file_target, then explore some management aspects of Extended Events sessions .

On the What to Restore page, click the plus sign to the right of the File icon, click the plus sign to the right of Test.bfk, select the C: check box, and then click Next. To restore the backed up files and settings, click Finish.

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Recall that we specified MAX_DISPATCH_LATENCY in our scenario . This is an event session option that we used to make sure that our file is written relatively quickly . In practice, we probably would want the latency value to be higher to even further minimize the impact on production . Updating the file every 10 seconds (or less often) rather than every second is likely to be suitable in this case . In addition, we can specify parameter values for each target . We can also limit the size of the file produced by specifying the max_file_size property (specified in MB) . If not specified, the default is to fill the entire disk . If max_file_size is specified, you can also limit the number of files into which events will roll over via max_rollover_files, and you can control how much space is allocated each time the file grows via an increment property (also specified in MB) . It is important to keep the increment value high enough to avoid unnecessary fragmentation of the file system .

15

This class is a Business Delegate for using SOAP XML-RPC messaging to obtain product price information from our manufacturer. Once we obtain a connection to the messaging system, we cache it using the variable con. This allows us to avoid the overhead of obtaining the connection multiple times. When this class is instantiated, its first task is to connect to the messaging system. If that connection succeeds, then we cache the connection in the variable con. If it fails, then the Business Delegate is of no use to the client and it throws an exception. Though it is not necessary, we add a SOAP header element to our message to show how it is done. The element that we add to the message is today s date.

Details of current sessions are exposed via another set of system views . We can start exploring these with the following query:

SELECT [name] AS SessionName, total_buffer_size AS BufferSize, buffer_policy_desc AS Policy, flag_desc AS Flags, create_time AS CreateTime FROM sys.dm_xe_sessions;

On my system, this returned the following:

SessionName ------------------------system_health High_Logical_Read_Queries BufferSize ---------4324761 4324761 Policy ---------drop_event drop_event Flags -------------flush_on_close flush_on_close CreateTime ----------------------2009-04-06 11:42:19.930 2009-04-06 16:46:51.107

This code uses JAXM to create a synchronous message that obtains the price for a specific item. In section 4.3.2, we discussed a scenario in which an asynchronous SOAP message is sent from the manufacturer to the distributor because a product image was updated. In the next section, we examine the Java code necessary to receive and process that image.

Note that another event session had already been created during installation . This system_health session will be a good example for us to explore further, and we can start exploring it by executing the following query:

SELECT column_name AS ColumnName, column_value AS Value, object_type AS ObjectType, [object_name] AS ObjectName FROM sys.dm_xe_sessions AS s INNER JOIN sys.dm_xe_session_object_columns AS c ON s.address = c.event_session_address WHERE s.[name] = 'system_health' ORDER BY c.column_id;

This query returns the following results:

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