c# qr code generator Drill Down to the Database/File Level in Visual C#

Generator QR-Code in Visual C# Drill Down to the Database/File Level

Drill Down to the Database/File Level
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The next step in our tuning process is to drill down to the database/ le level. You want to isolate the databases that involve most of the cost. Within the database, you want to drill down to the le type (data/log) because the course of action you take depends on the le
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Inside Microsoft SQL Server 2008: T-SQL Querying
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type. One of the tools that allows you to analyze I/O information at the database/ le level is a dynamic management function (DMF) called sys.dm_io_virtual_ le_stats. The function accepts a database ID and le ID as inputs and returns I/O information about the input database le. You specify NULLs in both to request information about all databases and all les. The function returns the following attributes:
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database_id le_id sample_ms (the number of milliseconds since the instance of SQL Server has started and can be used to compare different outputs from this function) num_of_reads num_of_bytes_read io_stall_read_ms (the total time, in milliseconds, that the users waited for reads issued on the le) num_of_writes num_of_bytes_written io_stall_write_ms io_stall (the total time, in milliseconds, that users waited for I/O to be completed on the le) size_on_disk_bytes (in bytes) le_handle (the Microsoft Windows le handle for this le)
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Note The measurements are reset when SQL Server starts, and they indicate only physical I/O against the les and not logical I/O. At this point, we want to gure out which databases involve most of the I/O and I/O stalls in the system and, within the database, which le type (data/log). The following query will give you this information, sorted in descending order by the I/O stalls:
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WITH DBIO AS ( SELECT DB_NAME(IVFS.database_id) AS db, MF.type_desc, SUM(IVFS.num_of_bytes_read + IVFS.num_of_bytes_written) AS io_bytes, SUM(IVFS.io_stall) AS io_stall_ms FROM sys.dm_io_virtual_file_stats(NULL, NULL) AS IVFS JOIN sys.master_files AS MF ON IVFS.database_id = MF.database_id AND IVFS.file_id = MF.file_id GROUP BY DB_NAME(IVFS.database_id), MF.type_desc )
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SELECT db, type_desc, CAST(1. * io_bytes / (1024 * 1024) AS NUMERIC(12, 2)) AS io_mb, CAST(io_stall_ms / 1000. AS NUMERIC(12, 2)) AS io_stall_s, CAST(100. * io_stall_ms / SUM(io_stall_ms) OVER() AS NUMERIC(10, 2)) AS io_stall_pct, ROW_NUMBER() OVER(ORDER BY io_stall_ms DESC) AS rn FROM DBIO ORDER BY io_stall_ms DESC;
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Query Tuning
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This query generates (on my system) the following output:
db ------------------Performance MDW AdventureWorks2008 Performance MDW tempdb Northwind msdb master msdb Generic model tempdb pubs InsideTSQL2008 Generic master AdventureWorks2008 Northwind InsideTSQL2008 pubs model type_desc ---------ROWS ROWS ROWS LOG LOG ROWS ROWS LOG ROWS ROWS LOG ROWS LOG ROWS ROWS ROWS LOG LOG LOG LOG LOG LOG io_mb --------26002.09 1495.23 99.82 121.43 625.91 107.40 38.39 64.63 58.13 149.90 1.05 8.52 7.34 4.57 4.50 4.32 1.07 0.23 0.07 0.12 0.41 0.56 io_stall_s ----------14364.84 834.43 311.11 275.64 177.80 147.05 117.32 104.98 100.44 89.24 12.25 3.66 3.54 2.64 2.35 1.74 1.61 1.59 1.30 1.09 0.96 0.40 io_stall_pct ------------86.77 5.04 1.88 1.66 1.07 0.89 0.71 0.63 0.61 0.54 0.07 0.02 0.02 0.02 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.00 rn --1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22
The output shows the database name, le type, total I/O (reads and writes) in megabytes, I/O stalls in seconds, I/O stalls in percent of the total for the whole system, and a row number indicating a position in the sorted list based on I/O stalls. Of course, if you want, you can calculate a percentage and row number based on I/O as opposed to I/O stalls, and you can also use running aggregation techniques to calculate a running percentage, as I demonstrated earlier. You might also be interested in a separation between the reads and writes for your analysis. In this output, you can clearly identify the main element involving most of the system s I/O stalls the data portion of Performance, which scores big time (86 percent of the stalls), and the data portion of MDW, which also incurs a large percent (5 percent of the stalls). I enabled the data collector in my system and the three system collection sets, which store the information in this management data warehouse. By default, the collection frequency is 60 seconds. Behind, with about 1 to 2 percent each, are the data portions of AdventureWorks2008 and tempdb and the log portions of Performance and MDW. Obviously, you should focus on these elements, paying special attention to data activity against the Performance database.
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