Metering Data Structure and Usage

Overview¶

When data is written to a specific workspace, Guance will monitor and count the data volume in real-time. It records and stores the statistical information in the database according to the preset time cycle.

By combining DQL query statements, users can easily build a usage analysis dashboard. This dashboard provides intuitive data usage analysis, helping users gain insights into data flow trends, optimize resource allocation, and monitor data usage.

Data Structure¶

{
    "time": 1720584000000,
    "__docid": "fb4d3b817fdc08a266bfefe85049d279",
    "count": "0",
    "create_time": "1720591166343",
    "date": "1720584000000",
    "hour_count": "0",
    "project": "logging",
    "sub_project": "default",
    "workspaceUUID": "wksp_3c5cc6626cb64550b401347931fcf467"
}

Field Descriptions¶

Metric Project (project) Descriptions¶

Note⚠️: Full statistics use count for counting, while incremental statistics use hour_count for counting.

Metric Data Query¶

# Using DQL statements, you can view the log write volume within a specific workspace for a day

metering::`*`:(sum(hour_count)) {project="logging", workspaceUUID="wksp_xxx"}