rdlc data matrix

rdlc data matrix

rdlc data matrix

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query_hash This value is a hash of the query text and can be used to identify similar queries with the plan cache. Queries that differ only in the values of constants have the same query_hash value. query_plan_hash This value is a hash of the query execution plan and can be used to identify similar plans based on logical and physical operators and a subset of the operator attributes. To look for cases where you might not want to implement forced parameterization, you can search for queries that have similar query_hash values but different query_plan_hash values.

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can go anywhere In fact, multiple xmlns declarations can appear in different locations because schemas follow an open content model Therefore, the user can more easily customize definitions and declarations through the use of a schema Namespace placement in a DTD is not an option, but placement is a useful feature of schemas Because of its hierarchical structure, a schema can use the same name in different places to have different meanings For example, the term mustang can only be used once in a DTD But in a schema, mustang could be used in an automotive context and in an equine context at different locations within the hierarchy Unlike DTDs, XML schemas are extensible Developers can add their own customized elements, tags, and attributes to XML schema documents in order to extend them In fact, a developer can create a customized schema by combining components from many external, standard schemas With namespaces, external schemas can be used directly with a reference to the original schema rather than copying the definition To reference an element defined in another schema, the developer must first use a namespace declaration to introduce the other schema This declaration consists of an attribute beginning with xmlns, followed by a prefix name and a path to the other schema For example, the resulting customized schema might include elements from the Ford schema and the GM schema So elements such as Ford:name and GM:name could be sprinkled throughout the schema where the specific declarations are needed

There are two main differences between sys.dm_exec_cached_plans and sys.dm_exec_query_stats. First, sys.dm_exec_cached_plans has one row for each batch that has been compiled and cached, whereas sys.dm_exec_query_stats has one row for each statement. Second, sys.dm_exec_query_stats contains summary information aggregating all the executions of a particular statement. The sys.dm_exec_query_stats returns a tremendous amount of performance information for each query, including the number of times it was executed, and the cumulative I/O, CPU, and duration information. Keep in mind that this view is updated only when a query is completed, so you might need to retrieve information multiple times if there is currently a large workload on your server.

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The other type of recovery, restore recovery (or media recovery), is run by request when a restore operation is executed This process makes sure that all the committed transactions in the backup of the transaction log are re ected in the data and that any transactions that did not complete do not show up in the data I ll talk more about restore recovery later in the chapter Both types of recovery must deal with two situations: when transactions are recorded as committed in the log but not yet written to the data les, and when changes to the data les don t correspond to committed transactions These two situations can occur because committed log records are written to the log les on disk every time a transaction commits Changed data pages are written to the data les on disk completely asynchronously, every time a checkpoint occurs in a database.