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Generation UPC Symbol in C# Memory (RAM) Minimum: 512 MB Recommended: 1 GB or more

Memory (RAM) Minimum: 512 MB Recommended: 1 GB or more
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Minimum: 192 MB Recommended: 1 GB or more
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The buffer cache is also known as the data cache or the database page cache. For a database server, this area tends to require more physical memory than any other. This buffer cache is used to store data and index pages that have been retrieved from the database. It improves performance because if the same database pages are requested more than once within a brief enough time period, they can be retrieved from RAM instead of from disk. Because the buffer cache stores the data output of recent queries, you can estimate the space requirements of the buffer cache by estimating the maximum total output of all concurrent queries. To do this, gather all the query types contained in your database applications and estimate the average data output of each type. (Do not include the size of graphics in your estimated output.) Then estimate the maximum number of concur rent executions of unique queries. (The word concurrently in this case represents a duration of 300 seconds because that is the minimum time span that data should be held in the buffer cache to achieve acceptable performance.) For example, let s assume in a simplified scenario that your organization s database application consists of only three queries, Query A, Query B, and Query C. To predict buffer cache memory requirements for this database application, you might estimate that during times of peak database usage, 30 users will execute Query A with a unique output of 400 KB, 20 users will execute Query B with a unique output of 300 KB, and 50 users will execute Query C with a unique output of 100 KB. The buffer cache requirements of these three queries can then be added together. In this example, Query A requires approximately 120 MB in the buffer cache, Query B requires 60 MB,
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and Query C requires 50 MB. Thus, the total requirements of all three queries are equal to 230 MB.
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The procedure cache is also known as the query plan cache, the query cache, or the plan cache. This is the area in memory that stores execu tion plans, which define, for any stored procedure or ad hoc query, an optimal sequence in which to access tables and an optimal method to extract data from each table.
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SQL Server stores execution plans in memory so that they can be recycled by users executing the same stored procedure or ad hoc query. More specifically, all users exe cuting a particular query will share the portion of the execution plan known as the query plan (also known as the compiled plan). This query plan is the portion of the exe cution plan that contains no user context information or data-variable values. The portion of the execution plan that is unique to each user is known as the execution context or executable plan. This data structure holds data such as parameter values spe cific to the user s context and enables the query to be executed. Each user concur rently executing a given query will use the shared query plan and a unique execution context. To size memory requirements for the procedure cache, you need to estimate the size and number of concurrent query plans and execution contexts. To do so, first gather all the query types contained in your database applications. Then calculate the amount of space required to store in memory the text of each query. Remember when performing this calculation that each character of text is equivalent to one byte. For example, if a certain stored procedure consists of 4000 characters, you can estimate the textual space requirements of that particular query to be approximately 4 KB of memory. Next, for each query, estimate the maximum number of concurrent executions. For example, you might estimate this same stored procedure to be executed a maxi mum of 500 times concurrently. Finally, to approximate the space requirements of this query in the procedure cache, you should multiply the textual space require ments of the query times the expected number of query plans and execution con texts. In our example, we should multiply the 4 KB times 501 once for the shared query plan, and 500 for each execution context. In this example, the memory require ments of this particular query can be estimated as 2004 KB or approximately 2 MB. This process should then be repeated for each query associated with your database applications.
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