org.omg.DsLogNotification
Class ThresholdAlarm

java.lang.Object
  org.omg.DsLogNotification.ThresholdAlarm

All Implemented Interfaces:

java.io.Serializable, IDLEntity

public final class ThresholdAlarm
extends java.lang.Object
implements IDLEntity

The ThresholdAlarm struct defines the log capacity threshold alarm. It is generated by a log factory when one of its logs reaches its capacity alarm threshold to indicate that a log full or wrapping condition is approaching. If a log wraps when full, then the capacity threshold events are triggered as if coupled to a gauge that counts from zero to the highest capacity threshold value defined and then resets to zero.

See Also:

Serialized Form

Field Summary

short	crossed_value The threshold level just being crossed.
int	id The log identifier
Log	logref The object reference of the log.
short	observed_value The current log size, as a percentage of the maximum log size.
short	perceived_severity It is minor if log is not full, and critical otherwise.
long	time The time when the log has reached its capacity alarm threshold.

Constructor Summary

ThresholdAlarm()

ThresholdAlarm(Log logref, int id, long time, short crossed_value, short observed_value, short perceived_severity)

Method Summary

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

logref

public Log logref

The object reference of the log.

id

public int id

The log identifier

time

public long time

The time when the log has reached its capacity alarm threshold.

crossed_value

public short crossed_value

The threshold level just being crossed.

observed_value

public short observed_value

The current log size, as a percentage of the maximum log size.

perceived_severity

public short perceived_severity

It is minor if log is not full, and critical otherwise.

Constructor Detail

ThresholdAlarm

public ThresholdAlarm()

ThresholdAlarm

public ThresholdAlarm(Log logref,
                      int id,
                      long time,
                      short crossed_value,
                      short observed_value,
                      short perceived_severity)