eG Monitoring
 

Measures reported by Db2InstanceTest

The Db2InstanceTest, executed by an internal agent, tracks various statistics at instance level of a DB2 database. The measures made by this test are as follows:

Measurement Description Measurement Unit Interpretation
Pct_agents_waiting Indicates the percentage of agents waiting to execute a unit of work. Percent It shows the percentage of agents that are waiting to execute (that is, that are asleep). Use this measure to adjust the MAXCAGENTS parameter setting for the database. If this value is high, you may consider increasing the MAXCAGENTS parameter.
Pct_piped_sorts_accepted Indicates the percentage of piped sorts accepted during the interval. Percent Piped sorts reduce disk I/O and tend to be more efficient. A high percentage of piped sorts accepted indicate that efficient sorts are being performed. A low percentage indicates that sort heap and sort heap threshold may have to be adjusted. If this percentage is low, then increase the SHEAPTHRES parameter and possibly the SORTHEAP parameter.
Pct_piped_sorts_rejected Indicates the percentage of piped sort requests that were rejected. Percent Piped sorts reduce disk I/O and tend to be more efficient. A low percentage of piped sorts rejected indicates that efficient sorts are being performed. A high percentage of piped sorts rejected indicates that sort heap and sort heap threshold may have to be adjusted. If this percentage is high, then increase the SHEAPTHRES parameter and possibly the SORTHEAP parameter.
Agents_registered Indicates the number of agents registered in the database manager instance that is being monitored  (coordinator agents and subagents). Number This measure can be used to evaluate your setting for the MAXAGENTS configuration parameter.
Pct_agents_from_empty_pool Indicates how often an agent must be created because the pool is empty. Percent A high value may indicate that the NUM_POOLAGENTS configuration parameter should be increased. A low value suggests that NUM_POOLAGENTS is set too high, and that some of the agents in the pool are rarely used and are wasting system resources.

A high percentage can also indicate that the overall workload for this node is too high. The workload can be adjusted by lowering the maximum number of coordinating agents specified by the MAXCAGENTS configuration parameter, or by redistributing data among the nodes.