c# print 2d barcode Lesson 2: Designing Filegroups in Visual C#

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Lesson 2: Designing Filegroups
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within a filegroup are grown at the same time. To not introduce a compounding dis crepancy on the free space of a file, SQL Server seeks to write data to each file within a filegroup in proportion to the size of the file. For example, suppose that you have a filegroup called FG1 and you place two files (File1 and File2) into the filegroup. If File1 is 2 GB in size, and File2 is 2 GB in size, SQL Server will make one write to File1 for each write that is performed to File2. How ever, if File1 is sized to 2 GB, and File2 is sized to 8 GB, SQL Server would perform four write operations to File2 for every write operation that is performed to File1. This basic algorithm ensures that each file within a filegroup reaches capacity at approxi mately the same time, enabling all files to grow at the same time. SQL Server spawns a separate thread for each file that needs to be read. If the files are on different disk sets, data can be read/written using parallel operations. If you have set the disks equal to the number of processors, you will essentially have one disk I/ O thread executing per processor that is pointed to a different set of spindles, thereby enabling you to read/write a significant amount of data in parallel. If you have also cre ated all the files to be the same size, you essentially cause SQL Server to stripe the write activity across all the files using an I/O thread running on each processor. All this normally comes together within the tempdb database. The tempdb database incurs high write activity because it is used as the storage space for any local or tem porary tables as well as any work tables created for sorting, grouping, or aggregation operations. By adding files to the tempdb database that are of exactly the same size, you increase the write throughput significantly going to the tempdb database and thereby improve the performance of all of your sorting, grouping, and aggregation operations.
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Disk I/O performance
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Keep in mind that the performance improvement you will see from the design of filegroups and location of files is for operations that require disk I/O. If you have designed your applications and databases using the following principles, the performance gains will be minimal because nearly all data access will occur from the data cache in memory.
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All columns are defined with the smallest data type necessary to capture data. Applications extract only the minimum number of rows necessary. Applications extract only the minimum number of columns necessary. The use of temporary tables and table variables has been minimized.
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Designing the Physical Database
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Designing Filegroups for Partitioning
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In addition to designing filegroups for performance and recoverability, filegroups play a fundamental role in the design of partitioning. By applying partitioning appro priately, you can achieve a significant increase in availability of data because you are no longer constrained by archival or mass loading processes, which tend to exclu sively lock tables. Filegroups are used within partitioning to define partition schemes. Creating a partition scheme is the second step of partitioning a table, index, or indexed view. The partition scheme defines the physical storage structures that will be used with a specific partition function. The general syntax to create a partition scheme is as follows:
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CREATE PARTITION SCHEME partition_scheme_name
AS PARTITION partition_function_name
TO ( { file_group_name | [ PRIMARY ] } [ ,...n ] )[ ; ]
Every partition scheme must have a name that conforms to the rules for identifiers. The PARTITION clause specifies the name of the partition function that will be mapped to this partition scheme. The TO clause specifies the list of filegroups that will define the on-disk storage for any data using the partition scheme. Any filegroups specified in this clause must already be added to the database and have at least one file assigned to the filegroup, and the filegroups must be online and not marked read-only. An example of a partition scheme is as follows:
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