Event Trends

Event trend provides a breakdown of event histograms by type. For example, the following provides a breakdown of a couple of event types that have come over the last one day, broken up by 1hr period.

Note: Periods where there are zero events do not appear in the results

Parameters

• opcode - trend (not-null) - Operation code for this analytics
• table - table_name (not-null) - Table on which analytics will be run
• filters - Array of filters (Optional - defaults to no filters)
• field - Field to classify and bucketize (not-null)
• period - Bucketing period of response (Optional) (default - days) (Allowed values - seconds, minutes, hours, days)

Sample Request

{
    "opcode": "trend",
    "table": "test",
    "filters": [],
    "field": "eventType",
    "period": "hours",
    "values": [
        "APP_LOAD",
        "APP_CRASH"
    ]
}

Sample Response

{
    "opcode": "trend",
    "trends": {
        "APP_LOAD": [
            {
                "period": 1401534000000,
                "count": 3577025
            },
            {
                "period": 1401537600000,
                "count": 4475149
            },
            {
                "period": 1401541200000,
                "count": 4450258
            },
            {
                "period": 1401544800000,
                "count": 4441747
            },
            {
                "period": 1401548400000,
                "count": 4793743
            },
            {
                "period": 1401552000000,
                "count": 4625320
            },
            {
                "period": 1401555600000,
                "count": 3984052
            },
            {
                "period": 1401559200000,
                "count": 5344878
            },
            {
                "period": 1401562800000,
                "count": 6909432
            },
            {
                "period": 1401566400000,
                "count": 1439693
            }
        ],
        "APP_CRASH": [
            {
                "period": 1401534000000,
                "count": 3
            },
            {
                "period": 1401537600000,
                "count": 1
            },
            {
                "period": 1401541200000,
                "count": 5
            },
            {
                "period": 1401566400000,
                "count": 2
            }
        ]
    }
}