Hitachi

JP1 Version 11 JP1/Performance Management - Remote Monitor for Platform Description, User's Guide and Reference


9.2.5 The message "KAVL17016-W Performance data was not saved to the Store database because it is the same as previous performance data." is output to the common message log

The KAVL17016-W message is output to the common message log and the collection of performance data can be skipped if: The amount of time it takes to complete the collection of performance data from all monitored hosts in the instance is more than the collection interval for the collection process (Interval setting value for the instance environment) and the collection interval for each performance data (Collection Interval setting value for each record).

Each collection interval should be set to a value with 15 or more seconds added to the time interval estimated based on the following estimation procedure:

How to estimate the value of the collection interval

Follow these steps to estimate the value of the collection interval:

  1. Measure the collection periods for all monitored hosts.

    Make measurements on the collection periods by performing the connection test steps, which are described in the notes about collecting records in the Release Notes. Determine the maximum value from the time periods required to collect the data for all the monitored hosts in these measurements.

    #

    As a guideline, the average time needed to collect performance data per monitored host is 5 seconds for a host running Windows and 20 seconds for one running UNIX. If your measurement results are much greater than these values, review your environment so that they can be closer to the average values above.

    Note

    How to check the collection period in the environment during operation

    In the environment during operation, you can determine the collection period (the amount of time it takes to complete the collection of performance data from all monitored hosts in the instance) by calculating the difference between the start and end times of collection based on the log records in the PFM - RM for Platform log file as shown below:

    Log file name

    • In Windows

      installation-folder\agt7\agent\instance-name\log\timer_01

    • In UNIX

      installation-directory/agt7/agent/instance-name/log/timer_01

    Example records in the log file and how to calculate the collection period

    Time when the collection started:

    2016/03/16 11:20:10.135 TimerThread.cpp 141 I collecting start

    Time when the collection ended:

    2016/03/16 11:20:47.923 TimerThread.cpp 144 I collecting end

    Collection period:

    Time when the collection ended - Time when the collection started = 47.923 - 10.135 = Approximately 38 seconds

    Also, you can determine the collection period for each monitored host by calculating the difference between the start and end times of collection, based on the log records in the PFM - RM for Platform log file as shown below.

    Log file name

    • In Windows

      installation-folder\agt7\agent\instance-name\log\target_monitored-host-name_01

    • In UNIX

      installation-directory/agt7/agent/instance-name/log/target_monitored-host-name_01

    Example records in the log file and how to calculate the collection period

    • In Windows

      Time when the collection started:

      2016/03/16 11:20:19.575 WMI_Collector.cpp 58 I collect start

      Time when the collection ended:

      2016/03/16 11:20:26.024 WMI_Collector.cpp 261 I collect end

      Collection period:

      Time when the collection ended - Time when the collection started = 26.024 - 19.575 = Approximately 6 seconds

    • In UNIX

      Time when the collection started:

      2015/10/21 18:43:02.501 SSH_Collector.cpp 65 I collection start

      Time when the collection ended:

      2015/10/21 18:43:22.563 SSH_Collector.cpp 75 I collection end

      Collection period:

      Time when the collection ended - Time when the collection started = 22.563 - 2.501 = Approximately 20 seconds

  2. Calculate the average number of hosts processed per thread for collecting performance data

    PFM - RM for Platform uses 10 parallel threads to collect performance data. You can use the following formula to calculate the average number of hosts that are processed by a single thread which collects the data:

    Average number of hosts per thread = Total number of monitored hosts / 10 (rounded up to the next whole number)

  3. Determine the value set for the collection interval

    Based on the values calculated in steps 1 and 2, use the following formula to calculate the value for the collection interval:

    Collection interval value = (Maximum collection period determined in step 1 x Average number of hosts determined in step 2) + 15