ShoreTel 420 User Manual

 


If you can create an index for the non-indexed predicates, it helps your query performance.

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Informazioni sul dizionario contestuale Scarica l'app Contatto Considerazioni legali. For details, see Working with Project Properties. Select the NMake property page, and then modify properties under IntelliSense as appropriate. Set the Preprocessor Definitions property to define any preprocessor symbols in your makefile project. Set the Include Search Path property to specify the list of directories that the compiler will search to resolve file references that are passed to preprocessor directives in your makefile project.

Set the Forced Includes property to specify which header files to process when building your makefile project. Set the Assembly Search Path property to specify the list of directories that the compiler will search to resolve references to. NET assemblies in your project.

If you update statistics on your tables before they are populated, then the queries are optimized with the assumption that the tables contain no rows or very few rows. If you later populate your tables with millions of rows and then execute the queries, the plans that worked well for tables containing few rows may now be very slow as the optimization was not done for the current set of data in the table.

For optimal performance, you should update statistics on your tables to reflect the current population in the tables, in particular, after you have added or deleted a significant number of rows in the tables. You should prepare your queries after you have updated the table statistics.

If you find that a specific query runs more slowly than expected, it is possible that the TimesTen optimizer is not choosing the optimal query plan to answer that query. You should generate the query plan and review it. To display the optimizer plan from the ttIsql command line utility, use the commands:. When reviewing the query plan, pay attention to the predicates that are participating in the query evaluation but are not indexed.

If you can create an index for the non-indexed predicates, it helps your query performance. Now let's review a sample query. It has over 10 million rows. When we first ran the query, it took about seconds to complete, which was too slow and not what was expected. We then generated the query plan and saw that one of the steps had the following plan