Attribute groups and attributes for the Monitoring Agent for Linux

This monitoring agent contains the following attribute groups. The table name depends on the maximum table name limits of the target database being used for the data warehouse. If the maximum name is 30 characters, then any warehouse table name longer than 30 characters is shortened to 30 characters.
  • Attribute group name: Config
    • Table name: KHDCONF
    • Warehouse table name: KHDCONF or KHD_CONFIG
  • Attribute group name: DB Info
    • Table name: KHDDBINFO
    • Warehouse table name: KHDDBINFO or KHD_DB INFO
  • Attribute group name: Last Error Details
    • Table name: KHDLASTERR
    • Warehouse table name: KHDLASTERR or KHD_LAST ERROR DETAILS
  • Attribute group name: Load Statistics
    • Table name: KHDLOADST
    • Warehouse table name: KHDLOADST or KHD_LOAD STATISTICS
  • Attribute group name: Node List
    • Table name: KHDNODELST
    • Warehouse table name: KHDNODELST or KHD_NODE LIST
  • Attribute group name: Registration Address List
    • Table name: KHDRGADLST
    • Warehouse table name: KHDRGADLST or KHD_REGISTRATION ADDRESS LIST
  • Attribute group name: RPCSource Statistics
    • Table name: KHDRPCS
    • Warehouse table name: KHDRPCS or KHD_RPCSOURCE STATISTICS
  • Attribute group name: Warehouse TEMS List
    • Table name: KHDTEMSLST
    • Warehouse table name: KHDTEMSLST or KHD_WAREHOUSE TEMS LIST
  • Attribute group name: Work Queue
    • Table name: KHDWORKQ
    • Warehouse table name: KHDWORKQ or KHD_WORK QUEUE
The remaining sections of this chapter contain descriptions of these attribute groups, which are listed alphabetically. The following information is provided for each attribute group:
Historical group
Whether the attribute group is a historical type that you can roll off to a data warehouse
Attribute descriptions
Description, type, and Warehouse name for each attribute in the attribute group

Some attributes are designated as key attributes. A key attribute is an attribute that is used in warehouse aggregation to identify rows of data that represent the same object.