eG Monitoring
 

Measures reported by EgDBDatafile

By periodically monitoring the I/O activity on each datafile on the eG database and observing the growth in size of the datafile, this test sheds light on the following:

  • Datafiles that are experiencing I/O bottlenecks;

  • Datafiles that are consuming too much disk space

Note:

This test will not report metrics when a Microsoft SQL database is configured as the backend database for the eG manager.

Outputs of the test : One set of results for each datafile on the eG database being monitored.

The measures made by this test are as follows:

Measurement Description Measurement Unit Interpretation
Num_of_reads Indicates the rate of reads from this datafile. Reads/Sec  
Num_of_bytes_read Indicates the rate at which data was read from this datafile. KB/Sec  
Io_stall_read Indicates the total time taken to read from this datafile. Millisecs A high value for this measure could indicate a bottleneck while reading from the datafile.

By comparing the value of this measure across datafiles, you can identify the datafile to which read operations are taking too long to complete.
Num_of_writes Indicates the rate at which writes occurred on this datafile. Writes/Sec  
Num_of_bytes_written Indicates the rate at which data was written to this datafile. KB/Sec  
Io_stall_write Indicates the total time taken to write to this datafile. Millisecs A high value for this measure could indicate a bottleneck while writing to the datafile. By comparing the value of this measure across datafiles, you can identify the data file to which write operations are taking too long to complete.
Io_stall Indicates the total time taken for I/O to complete on this datafile. Millisecs A high value for this measure could indicate an I/O bottleneck on this datafile.
Size_on_disk Indicates the total size on disk of each datafile. MB This measure is used to determine the growth of the datafile.

A low value is desired for this measure. A very high value, or a consistent increase in this value may adversely impact I/O operations.

You may want to consider maintaining multiple datafiles of smaller sizes to improve I/O efficiency, and to speed up backup/restore operations.