adj stream doc
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@ -47,7 +47,7 @@ window_clause: {
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```
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`SESSION` indicates a session window, and `tol_val` indicates the maximum range of the time interval. If the time interval between two continuous rows are within the time interval specified by `tol_val` they belong to the same session window; otherwise a new session window is started automatically.
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`SESSION` indicates a session window, and `tol_val` indicates the maximum range of the time interval. If the time interval between two continuous rows are within the time interval specified by `tol_val` they belong to the same session window; otherwise a new session window is started automatically.The _wend of this window is the time of the last data plus tol_val.
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`EVENT_WINDOW` is determined according to the window start condition and the window close condition. The window is started when `start_trigger_condition` is evaluated to true, the window is closed when `end_trigger_condition` is evaluated to true. `start_trigger_condition` and `end_trigger_condition` can be any conditional expressions supported by TDengine and can include multiple columns.
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@ -54,8 +54,10 @@ window_clause: {
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}
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```
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其中,SESSION 是会话窗口,tol_val 是时间间隔的最大范围。在 tol_val 时间间隔范围内的数据都属于同一个窗口,如果连续的两条数据的时间超过 tol_val,则自动开启下一个窗口。
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其中,SESSION 是会话窗口,tol_val 是时间间隔的最大范围。在 tol_val 时间间隔范围内的数据都属于同一个窗口,如果连续的两条数据的时间超过 tol_val,则自动开启下一个窗口。该窗口的_wend等于最后一条数据的时间加上tol_val。
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EVENT_WINDOW 是事件窗口,根据开始条件和结束条件来划定窗口。当 start_trigger_condition 满足时则窗口开始,直到 end_trigger_condition 满足时窗口关闭。 start_trigger_condition 和 end_trigger_condition 可以是任意 TDengine 支持的条件表达式,且可以包含不同的列。
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COUNT_WINDOW 是计数窗口,按固定的数据行数来划分窗口。 count_val 是常量,是正整数,必须大于等于2,小于2147483648。 count_val 表示每个 COUNT_WINDOW 包含的最大数据行数,总数据行数不能整除 count_val 时,最后一个窗口的行数会小于 count_val 。 sliding_val 是常量,表示窗口滑动的数量,类似于 INTERVAL 的 SLIDING 。
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窗口的定义与时序数据特色查询中的定义完全相同,详见 [TDengine 特色查询](../distinguished)
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