print barcode c# zebra The ALTER INDEX statement also contains the DATA_COMPRESSION option. in Visual C#.NET

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The ALTER INDEX statement also contains the DATA_COMPRESSION option.
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The ideal targets for compression are tables and indexes that are used infrequently yet represent a significant percentage of the database size. Targeting such tables minimizes the performance impact while maximizing disk space savings. Dynamic management functions and views such as sys.dm_db_index_operational_stats and sys.dm_db_index_usage_stats assist in the process of identifying the least frequently used objects, and we ll cover these in detail in chapter 13. For frequently used objects, the performance impact of data compression needs to be carefully measured in a volume-testing environment capable of simulating production load. Despite the CPU overhead, certain operations such as table scans can actually receive a performance boost with data compression enabled. Let s have a look at two examples of both the positive and negative performance impacts of data compression. In viewing these examples, keep in mind that the results of any tests such as these are very much dependent on the makeup of the underlying data. These tests were conducted on modified versions of the tables in the AdventureWorks sample database. Results from real-world customer databases will obviously vary. The first example tests the time taken to insert the contents of a modified version of the AdventureWorks SalesOrder_Detail table containing 1.6 million records into a blank table with the same structure. The insert was repeated multiple times to observe the insert time and resultant table size with both page and row compression enabled. For comparison purposes, we also ran the test against an uncompressed table.
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-- Measure the size and execution time of various compression settings TRUNCATE TABLE [Sales].[SalesOrder_Detail_Copy]; GO ALTER TABLE [Sales].[SalesOrder_Detail_Copy] REBUILD WITH (DATA_COMPRESSION = PAGE) -- repeat for ROW, NONE GO INSERT [Sales].[SalesOrder_Detail_Copy] SELECT * FROM [Sales].[SalesOrder_Detail]; GO
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Rather than execute DBCC DROPCLEANBUFFERS between executions to clear the buffer cache, each test was run multiple times to ensure the data to insert was cached in memory for all three tests. This method lets you more accurately compare the relative performance differences between the compression methods by narrowing the focus to the time taken to write the new rows to disk. The results of the three tests, shown in figure 9.14, clearly indicate higher compression rates for page compression over row compression, but at a correspondingly higher cost in terms of execution time. PERFORMANCE INCREASE Despite the CPU overhead required to compress and uncompress data, in certain cases compressed data can actually boost performance. This is particularly evident in disk I/O bound range scans. If the data is compressed on disk, it follows that fewer
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Table Insert Time/Size by Compression Type
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160 140 120 100 80 60 40 20 0 Page Row Execution time (sec) Table size (MB) Uncompressed
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Figure 9.14 Inserting 1.6 million rows into a destination table with three different compression settings. Actual results will differ based on various factors.
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pages will need to be read from disk into memory which translates to a performance boost. Let s use another example to demonstrate. In this example, we ll select the average unit price from the Sales.SalesOrder_ Detail_Copy table. Again, this table was modified for the purposes of the test. For this example, the table was increased in size to 6.7 million rows. Given that the UnitPrice field isn t indexed, a full table scan will result, which is ideal for our test. We ll run this three times, on an uncompressed table, and with both forms of compression enabled. For this test, we ll clear the buffer cache with DBCC DROPCLEANBUFFERS before each test to ensure the query reads from disk each time. The script used for this test looks like this:
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-- Measure the table scan time of various compression settings ALTER TABLE [Sales].[SalesOrder_Detail_Copy] REBUILD WITH (DATA_COMPRESSION = ROW) -- repeat for PAGE, NONE GO DBCC DROPCLEANBUFFERS; GO SELECT AVG(UnitPrice) FROM Sales.SalesOrder_Detail_Copy; GO
The results of the three tests, shown in figure 9.15, clearly indicate that page compression enables the fastest execution time for this particular example almost three times quicker than the query against the uncompressed table.
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