session_count 插件session_count plugin

针对某个时间线基于 ID 列计算会话计数。Calculates sessions count based on ID column over a timeline.

T | evaluate session_count(id, datetime_column, startofday(ago(30d)), startofday(now()), 1min, 30min, dim1, dim2, dim3)

语法Syntax

T | evaluate session_count(IdColumn, TimelineColumn, Start, End, Bin, LookBackWindow [, dim1, dim2, ...])T | evaluate session_count(IdColumn, TimelineColumn, Start, End, Bin, LookBackWindow [, dim1, dim2, ...])

参数Arguments

  • T ：输入表格表达式。T : The input tabular expression.
  • IdColumn：列的名称，其 ID 值表示用户活动。IdColumn : The name of the column with ID values that represent user activity.
  • TimelineColumn：表示时间线的列的名称。TimelineColumn : The name of the column that represents the timeline.
  • 开始 ：带有分析开始时段值的标量。Start : Scalar with value of the analysis start period.
  • End：带有分析结束时段值的标量。End : Scalar with value of the analysis end period.
  • Bin ：会话分析步骤时间段的标量常数值。Bin : scalar constant value of session analysis step period.
  • LookBackWindow ：表示会话回看期的标量常数值。LookBackWindow : scalar constant value representing session lookback period. 如果 IdColumn 中的 ID 在 LookBackWindow 之内的时间窗口中出现，则该会话被视为现有会话。If the ID from IdColumn appears in a time window within LookBackWindow, the session is considered to be an existing one. 如果该 ID 未出现，则该会话被视为新会话。If the ID doesn't appear, then the session is considered to be new.
  • dim1 , dim2 , ...：（可选）维度列的列表，用于切分会话计数计算。dim1 , dim2 , ...: (optional) list of the dimensions columns that slice the session count calculation.

返回Returns

返回一个表，该表包含每个时间线期间的以及每个现有维度组合的会话计数值。Returns a table that has the session count values for each timeline period and for each existing dimensions combination.

输出表架构如下：Output table schema is:

TimelineColumnTimelineColumn dim1dim1 .... dim_ndim_n count_sessionscount_sessions
类型：自 TimelineColumn 起type: as of TimelineColumn .... .... .... longlong

示例Examples

对于此示例，数据是确定性的，并且我们使用具有两列的表：For this example, the data is deterministic, and we use a table with two columns:

  • 时间线：一个 1 至 10,000 之间的顺序号Timeline: a running number from 1 to 10,000
  • ID：1 至 50 之间的用户 IDId: Id of the user from 1 to 50

如果 Id 是 Timeline 的除数（时间线 % Id == 0），则该 ID 会出现在特定的 Timeline 时段。Id appears at the specific Timeline slot if it's a divider of Timeline (Timeline % Id == 0).

Id==1 的事件将出现在任何 Timeline 时段，Id==2 的事件将每隔一个 Timeline 时段出现，依此类推。An event with Id==1 will appear at any Timeline slot, an event with Id==2 at every second Timeline slot, and so on.

下面是很少的 20 行数据：Here are few 20 lines of the data:

let _data = range Timeline from 1 to 10000 step 1
| extend __key = 1
| join kind=inner (range Id from 1 to 50 step 1 | extend __key=1) on __key
| where Timeline % Id == 0
| project Timeline, Id;
// Look on few lines of the data
_data
| order by Timeline asc, Id asc
| limit 20
时间线Timeline IDId
11 11
22 11
22 22
33 11
33 33
44 11
44 22
44 44
55 11
55 55
66 11
66 22
66 33
66 66
77 11
77 77
88 11
88 22
88 44
88 88

我们换一种说法来定义会话：只要用户 (Id) 在 100 个时段的时间范围内出现至少一次，而会话回看窗口是 41 个时段，则会话被视为活跃。Let's define a session in next terms: session considered to be active as long as user (Id) appears at least once at a timeframe of 100 time slots, while session look-back window is 41 time slots.

下一个查询根据上述定义显示活跃会话的计数。The next query shows the count of active sessions according to the definition above.

let _data = range Timeline from 1 to 9999 step 1
| extend __key = 1
| join kind=inner (range Id from 1 to 50 step 1 | extend __key=1) on __key
| where Timeline % Id == 0
| project Timeline, Id;
// End of data definition
_data
| evaluate session_count(Id, Timeline, 1, 10000, 100, 41)
| render linechart

会话计数示例