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"),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br"),t("span",{staticClass:"line-number"},[s._v("2")]),t("br"),t("span",{staticClass:"line-number"},[s._v("3")]),t("br"),t("span",{staticClass:"line-number"},[s._v("4")]),t("br"),t("span",{staticClass:"line-number"},[s._v("5")]),t("br"),t("span",{staticClass:"line-number"},[s._v("6")]),t("br"),t("span",{staticClass:"line-number"},[s._v("7")]),t("br")])]),t("p",[t("strong",[s._v("示例4：")]),s._v(" 查询所有序列下温度传感器 temperature 的最大值，可以使用下列查询语句：")]),s._v(" "),t("div",{staticClass:"language-sql line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-sql"}},[t("code",[t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("select")]),s._v(" max_value"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),s._v("temperature"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(")")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("from")]),s._v(" root"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("*")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("*")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("group")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("by")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("level")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("=")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("0")]),s._v("\n")])]),s._v(" "),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br")])]),t("p",[s._v("运行结果：")]),s._v(" "),t("div",{staticClass:"language- line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-text"}},[t("code",[s._v("+---------------------------------+\n|max_value(root.*.*.*.temperature)|\n+---------------------------------+\n|                             26.0|\n+---------------------------------+\nTotal line number = 1\nIt costs 0.013s\n")])]),s._v(" "),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br"),t("span",{staticClass:"line-number"},[s._v("2")]),t("br"),t("span",{staticClass:"line-number"},[s._v("3")]),t("br"),t("span",{staticClass:"line-number"},[s._v("4")]),t("br"),t("span",{staticClass:"line-number"},[s._v("5")]),t("br"),t("span",{staticClass:"line-number"},[s._v("6")]),t("br"),t("span",{staticClass:"line-number"},[s._v("7")]),t("br")])]),t("p",[t("strong",[s._v("示例5：")]),s._v(" 上面的查询都是针对某一个传感器，特别地，"),t("strong",[s._v("如果想要查询某一层级下所有传感器拥有的总数据点数，则需要显式规定测点为 "),t("code",[s._v("*")])])]),s._v(" "),t("div",{staticClass:"language-sql line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-sql"}},[t("code",[t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("select")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token function"}},[s._v("count")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("*")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(")")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("from")]),s._v(" root"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("ln"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("*")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("*")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("group")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("by")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("level")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("=")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("2")]),s._v("\n")])]),s._v(" "),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br")])]),t("p",[s._v("运行结果：")]),s._v(" "),t("div",{staticClass:"language- line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-text"}},[t("code",[s._v("+----------------------+----------------------+\n|count(root.*.wf01.*.*)|count(root.*.wf02.*.*)|\n+----------------------+----------------------+\n|                 20160|                 20160|\n+----------------------+----------------------+\nTotal line number = 1\nIt costs 0.013s\n")])]),s._v(" "),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br"),t("span",{staticClass:"line-number"},[s._v("2")]),t("br"),t("span",{staticClass:"line-number"},[s._v("3")]),t("br"),t("span",{staticClass:"line-number"},[s._v("4")]),t("br"),t("span",{staticClass:"line-number"},[s._v("5")]),t("br"),t("span",{staticClass:"line-number"},[s._v("6")]),t("br"),t("span",{staticClass:"line-number"},[s._v("7")]),t("br")])]),t("h2",{attrs:{id:"时间区间分段聚合"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#时间区间分段聚合"}},[s._v("#")]),s._v(" 时间区间分段聚合")]),s._v(" "),t("p",[s._v("分段聚合是一种时序数据典型的查询方式，数据以高频进行采集，需要按照一定的时间间隔进行聚合计算，如计算每天的平均气温，需要将气温的序列按天进行分段，然后计算平均值。")]),s._v(" "),t("p",[s._v("降采样查询是指使用比数据采集的时间频率更低的频率进行的一种查询方式，是分段聚合的一种特例。例如，数据采集的频率是一秒，想按照1分钟对数据进行展示，则需要使用降采样查询。")]),s._v(" "),t("p",[s._v("在 IoTDB 中，可以使用 "),t("code",[s._v("Group by")]),s._v(" 子句来进行时间区间分段聚合，支持根据时间间隔和自定义的滑动步长（默认值与时间间隔相同，自定义的值必须大于等于时间间隔）对结果集进行划分，默认结果按照时间升序排列。")]),s._v(" "),t("p",[s._v("GROUP BY 语句为用户提供三类指定参数：")]),s._v(" "),t("ul",[t("li",[s._v("参数 1：时间轴显示时间窗参数")]),s._v(" "),t("li",[s._v("参数 2：划分时间轴的时间间隔参数（必须为正数）")]),s._v(" "),t("li",[s._v("参数 3：滑动步长（可选参数，默认值与时间间隔相同，自定义的值必须大于等于时间间隔）")])]),s._v(" "),t("p",[s._v("三类参数的实际含义已经在下图中指出，这三类参数里，第三个参数是可选的。")]),s._v(" "),t("img",{staticStyle:{width:"100%","max-width":"800px","max-height":"600px","margin-left":"auto","margin-right":"auto",display:"block"},attrs:{src:"https://user-images.githubusercontent.com/16079446/69109512-f808bc80-0ab2-11ea-9e4d-b2b2f58fb474.png"}}),s._v(" "),t("p",[s._v("接下来，我们将给出三种典型的降频聚合查询的例子：")]),s._v(" "),t("h3",{attrs:{id:"未指定滑动步长的时间区间分组聚合查询"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#未指定滑动步长的时间区间分组聚合查询"}},[s._v("#")]),s._v(" 未指定滑动步长的时间区间分组聚合查询")]),s._v(" "),t("p",[s._v("对应的 SQL 语句是：")]),s._v(" "),t("div",{staticClass:"language-sql line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-sql"}},[t("code",[t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("select")]),s._v(" 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"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("[")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("2017")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("11")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("01")]),s._v("T00:"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),s._v(":"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(",")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("2017")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("11")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("07")]),s._v("T23:"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),s._v(":"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(")")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(",")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("1")]),s._v("d"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(")")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(";")]),s._v("\n")])]),s._v(" "),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br")])]),t("p",[s._v("这条查询的含义是：")]),s._v(" "),t("p",[s._v("由于用户没有指定滑动步长，滑动步长将会被默认设置为跟时间间隔参数相同，也就是"),t("code",[s._v("1d")]),s._v("。")]),s._v(" "),t("p",[s._v("上面这个例子的第一个参数是显示窗口参数，决定了最终的显示范围是 [2017-11-01T00:00:00, 2017-11-07T23:00:00)。")]),s._v(" "),t("p",[s._v("上面这个例子的第二个参数是划分时间轴的时间间隔参数，将"),t("code",[s._v("1d")]),s._v("当作划分间隔，显示窗口参数的起始时间当作分割原点，时间轴即被划分为连续的时间间隔：[0,1d), [1d, 2d), [2d, 3d) 等等。")]),s._v(" "),t("p",[s._v("然后系统将会用 WHERE 子句中的时间和值过滤条件以及 GROUP BY 语句中的第一个参数作为数据的联合过滤条件，获得满足所有过滤条件的数据（在这个例子里是在 [2017-11-01T00:00:00, 2017-11-07 T23:00:00) 这个时间范围的数据），并把这些数据映射到之前分割好的时间轴中（这个例子里是从 2017-11-01T00:00:00 到 2017-11-07T23:00:00:00 的每一天）")]),s._v(" "),t("p",[s._v("每个时间间隔窗口内都有数据，SQL 执行后的结果集如下所示：")]),s._v(" "),t("div",{staticClass:"language- line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-text"}},[t("code",[s._v("+-----------------------------+-------------------------------+----------------------------------------+\n|                         Time|count(root.ln.wf01.wt01.status)|max_value(root.ln.wf01.wt01.temperature)|\n+-----------------------------+-------------------------------+----------------------------------------+\n|2017-11-01T00:00:00.000+08:00|                           1440|                                    26.0|\n|2017-11-02T00:00:00.000+08:00|                           1440|                                    26.0|\n|2017-11-03T00:00:00.000+08:00|                           1440|                                   25.99|\n|2017-11-04T00:00:00.000+08:00|                           1440|                                    26.0|\n|2017-11-05T00:00:00.000+08:00|                           1440|                                    26.0|\n|2017-11-06T00:00:00.000+08:00|                           1440|                                   25.99|\n|2017-11-07T00:00:00.000+08:00|                           1380|                                    26.0|\n+-----------------------------+-------------------------------+----------------------------------------+\nTotal line number = 7\nIt costs 0.024s\n")])]),s._v(" "),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br"),t("span",{staticClass:"line-number"},[s._v("2")]),t("br"),t("span",{staticClass:"line-number"},[s._v("3")]),t("br"),t("span",{staticClass:"line-number"},[s._v("4")]),t("br"),t("span",{staticClass:"line-number"},[s._v("5")]),t("br"),t("span",{staticClass:"line-number"},[s._v("6")]),t("br"),t("span",{staticClass:"line-number"},[s._v("7")]),t("br"),t("span",{staticClass:"line-number"},[s._v("8")]),t("br"),t("span",{staticClass:"line-number"},[s._v("9")]),t("br"),t("span",{staticClass:"line-number"},[s._v("10")]),t("br"),t("span",{staticClass:"line-number"},[s._v("11")]),t("br"),t("span",{staticClass:"line-number"},[s._v("12")]),t("br"),t("span",{staticClass:"line-number"},[s._v("13")]),t("br")])]),t("h3",{attrs:{id:"指定滑动步长的时间区间分组聚合查询"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#指定滑动步长的时间区间分组聚合查询"}},[s._v("#")]),s._v(" 指定滑动步长的时间区间分组聚合查询")]),s._v(" "),t("p",[s._v("对应的 SQL 语句是：")]),s._v(" "),t("div",{staticClass:"language-sql line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-sql"}},[t("code",[t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("select")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token function"}},[s._v("count")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("status")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(")")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(",")]),s._v(" max_value"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),s._v("temperature"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(")")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("from")]),s._v(" root"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("ln"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("wf01"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("wt01 "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("group")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("by")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("[")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("2017")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("11")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("01")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),s._v(":"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),s._v(":"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(",")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("2017")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("11")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("07")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("23")]),s._v(":"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),s._v(":"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(")")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(",")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("3")]),s._v("h"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(",")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("1")]),s._v("d"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(")")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(";")]),s._v("\n")])]),s._v(" "),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br")])]),t("p",[s._v("这条查询的含义是：")]),s._v(" "),t("p",[s._v("由于用户指定了滑动步长为"),t("code",[s._v("1d")]),s._v("，GROUP BY 语句执行时将会每次把时间间隔往后移动一天的步长，而不是默认的 3 小时。")]),s._v(" "),t("p",[s._v("也就意味着，我们想要取从 2017-11-01 到 2017-11-07 每一天的凌晨 0 点到凌晨 3 点的数据。")]),s._v(" "),t("p",[s._v("上面这个例子的第一个参数是显示窗口参数，决定了最终的显示范围是 [2017-11-01T00:00:00, 2017-11-07T23:00:00)。")]),s._v(" "),t("p",[s._v("上面这个例子的第二个参数是划分时间轴的时间间隔参数，将"),t("code",[s._v("3h")]),s._v("当作划分间隔，显示窗口参数的起始时间当作分割原点，时间轴即被划分为连续的时间间隔：[2017-11-01T00:00:00, 2017-11-01T03:00:00), [2017-11-02T00:00:00, 2017-11-02T03:00:00), [2017-11-03T00:00:00, 2017-11-03T03:00:00) 等等。")]),s._v(" "),t("p",[s._v("上面这个例子的第三个参数是每次时间间隔的滑动步长。")]),s._v(" "),t("p",[s._v("然后系统将会用 WHERE 子句中的时间和值过滤条件以及 GROUP BY 语句中的第一个参数作为数据的联合过滤条件，获得满足所有过滤条件的数据（在这个例子里是在 [2017-11-01T00:00:00, 2017-11-07 T23:00:00) 这个时间范围的数据），并把这些数据映射到之前分割好的时间轴中（这个例子里是从 2017-11-01T00:00:00 到 2017-11-07T23:00:00:00 的每一天的凌晨 0 点到凌晨 3 点）")]),s._v(" "),t("p",[s._v("每个时间间隔窗口内都有数据，SQL 执行后的结果集如下所示：")]),s._v(" "),t("div",{staticClass:"language- line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-text"}},[t("code",[s._v("+-----------------------------+-------------------------------+----------------------------------------+\n|                         Time|count(root.ln.wf01.wt01.status)|max_value(root.ln.wf01.wt01.temperature)|\n+-----------------------------+-------------------------------+----------------------------------------+\n|2017-11-01T00:00:00.000+08:00|                            180|                                   25.98|\n|2017-11-02T00:00:00.000+08:00|                            180|                                   25.98|\n|2017-11-03T00:00:00.000+08:00|                            180|                                   25.96|\n|2017-11-04T00:00:00.000+08:00|                            180|                                   25.96|\n|2017-11-05T00:00:00.000+08:00|                            180|                                    26.0|\n|2017-11-06T00:00:00.000+08:00|                            180|                                   25.85|\n|2017-11-07T00:00:00.000+08:00|                            180|                                   25.99|\n+-----------------------------+-------------------------------+----------------------------------------+\nTotal line number = 7\nIt costs 0.006s\n")])]),s._v(" "),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br"),t("span",{staticClass:"line-number"},[s._v("2")]),t("br"),t("span",{staticClass:"line-number"},[s._v("3")]),t("br"),t("span",{staticClass:"line-number"},[s._v("4")]),t("br"),t("span",{staticClass:"line-number"},[s._v("5")]),t("br"),t("span",{staticClass:"line-number"},[s._v("6")]),t("br"),t("span",{staticClass:"line-number"},[s._v("7")]),t("br"),t("span",{staticClass:"line-number"},[s._v("8")]),t("br"),t("span",{staticClass:"line-number"},[s._v("9")]),t("br"),t("span",{staticClass:"line-number"},[s._v("10")]),t("br"),t("span",{staticClass:"line-number"},[s._v("11")]),t("br"),t("span",{staticClass:"line-number"},[s._v("12")]),t("br"),t("span",{staticClass:"line-number"},[s._v("13")]),t("br")])]),t("h3",{attrs:{id:"按照自然月份的时间区间分组聚合查询"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#按照自然月份的时间区间分组聚合查询"}},[s._v("#")]),s._v(" 按照自然月份的时间区间分组聚合查询")]),s._v(" "),t("p",[s._v("对应的 SQL 语句是：")]),s._v(" "),t("div",{staticClass:"language-sql line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-sql"}},[t("code",[t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("select")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token function"}},[s._v("count")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("status")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(")")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("from")]),s._v(" root"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("ln"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("wf01"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("wt01 "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("where")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("time")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token 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"),t("p",[s._v("上面这个例子的第二个参数是划分时间轴的时间间隔参数，将"),t("code",[s._v("1mo")]),s._v("当作划分间隔，显示窗口参数的起始时间当作分割原点，时间轴即被划分为连续的时间间隔：[2017-11-01T00:00:00, 2017-12-01T00:00:00), [2018-02-01T00:00:00, 2018-03-01T00:00:00), [2018-05-03T00:00:00, 2018-06-01T00:00:00) 等等。")]),s._v(" "),t("p",[s._v("上面这个例子的第三个参数是每次时间间隔的滑动步长。")]),s._v(" "),t("p",[s._v("然后系统将会用 WHERE 子句中的时间和值过滤条件以及 GROUP BY 语句中的第一个参数作为数据的联合过滤条件，获得满足所有过滤条件的数据（在这个例子里是在 [2017-11-01T00:00:00, 2019-11-07T23:00:00) 这个时间范围的数据），并把这些数据映射到之前分割好的时间轴中（这个例子里是从 2017-11-01T00:00:00 到 2019-11-07T23:00:00:00 的每两个自然月的第一个月）")]),s._v(" "),t("p",[s._v("每个时间间隔窗口内都有数据，SQL 执行后的结果集如下所示：")]),s._v(" "),t("div",{staticClass:"language- line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-text"}},[t("code",[s._v("+-----------------------------+-------------------------------+\n|                         Time|count(root.ln.wf01.wt01.status)|\n+-----------------------------+-------------------------------+\n|2017-11-01T00:00:00.000+08:00|                            259|\n|2018-01-01T00:00:00.000+08:00|                            250|\n|2018-03-01T00:00:00.000+08:00|                            259|\n|2018-05-01T00:00:00.000+08:00|                            251|\n|2018-07-01T00:00:00.000+08:00|                            242|\n|2018-09-01T00:00:00.000+08:00|                            225|\n|2018-11-01T00:00:00.000+08:00|                            216|\n|2019-01-01T00:00:00.000+08:00|                            207|\n|2019-03-01T00:00:00.000+08:00|                            216|\n|2019-05-01T00:00:00.000+08:00|                            207|\n|2019-07-01T00:00:00.000+08:00|                            199|\n|2019-09-01T00:00:00.000+08:00|                            181|\n|2019-11-01T00:00:00.000+08:00|                             60|\n+-----------------------------+-------------------------------+\n")])]),s._v(" "),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br"),t("span",{staticClass:"line-number"},[s._v("2")]),t("br"),t("span",{staticClass:"line-number"},[s._v("3")]),t("br"),t("span",{staticClass:"line-number"},[s._v("4")]),t("br"),t("span",{staticClass:"line-number"},[s._v("5")]),t("br"),t("span",{staticClass:"line-number"},[s._v("6")]),t("br"),t("span",{staticClass:"line-number"},[s._v("7")]),t("br"),t("span",{staticClass:"line-number"},[s._v("8")]),t("br"),t("span",{staticClass:"line-number"},[s._v("9")]),t("br"),t("span",{staticClass:"line-number"},[s._v("10")]),t("br"),t("span",{staticClass:"line-number"},[s._v("11")]),t("br"),t("span",{staticClass:"line-number"},[s._v("12")]),t("br"),t("span",{staticClass:"line-number"},[s._v("13")]),t("br"),t("span",{staticClass:"line-number"},[s._v("14")]),t("br"),t("span",{staticClass:"line-number"},[s._v("15")]),t("br"),t("span",{staticClass:"line-number"},[s._v("16")]),t("br"),t("span",{staticClass:"line-number"},[s._v("17")]),t("br")])]),t("p",[s._v("对应的 SQL 语句是：")]),s._v(" "),t("div",{staticClass:"language-sql line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-sql"}},[t("code",[t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("select")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token function"}},[s._v("count")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("status")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(")")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("from")]),s._v(" root"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("ln"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("wf01"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("wt01 "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("group")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("by")]),t("span",{pre:!0,attrs:{class:"token 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2017-10-31T00:00:00，滑动步长将会以起始时间作为标准按月递增，取当月的 31 号（即最后一天）作为时间间隔的起始时间。若起始时间设置为 30 号，滑动步长会将时间间隔的起始时间设置为当月 30 号，若不存在则为最后一天。")]),s._v(" "),t("p",[s._v("上面这个例子的第一个参数是显示窗口参数，决定了最终的显示范围是 [2017-10-31T00:00:00, 2019-11-07T23:00:00)。")]),s._v(" "),t("p",[s._v("上面这个例子的第二个参数是划分时间轴的时间间隔参数，将"),t("code",[s._v("1mo")]),s._v("当作划分间隔，显示窗口参数的起始时间当作分割原点，时间轴即被划分为连续的时间间隔：[2017-10-31T00:00:00, 2017-11-31T00:00:00), [2018-02-31T00:00:00, 2018-03-31T00:00:00), [2018-05-31T00:00:00, 2018-06-31T00:00:00) 等等。")]),s._v(" "),t("p",[s._v("上面这个例子的第三个参数是每次时间间隔的滑动步长。")]),s._v(" "),t("p",[s._v("然后系统将会用 WHERE 子句中的时间和值过滤条件以及 GROUP BY 语句中的第一个参数作为数据的联合过滤条件，获得满足所有过滤条件的数据（在这个例子里是在 [2017-10-31T00:00:00, 2019-11-07T23:00:00) 这个时间范围的数据），并把这些数据映射到之前分割好的时间轴中（这个例子里是从 2017-10-31T00:00:00 到 2019-11-07T23:00:00:00 的每两个自然月的第一个月）")]),s._v(" "),t("p",[s._v("每个时间间隔窗口内都有数据，SQL 执行后的结果集如下所示：")]),s._v(" "),t("div",{staticClass:"language- line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-text"}},[t("code",[s._v("+-----------------------------+-------------------------------+\n|                         Time|count(root.ln.wf01.wt01.status)|\n+-----------------------------+-------------------------------+\n|2017-10-31T00:00:00.000+08:00|                            251|\n|2017-12-31T00:00:00.000+08:00|                            250|\n|2018-02-28T00:00:00.000+08:00|                            259|\n|2018-04-30T00:00:00.000+08:00|                            250|\n|2018-06-30T00:00:00.000+08:00|                            242|\n|2018-08-31T00:00:00.000+08:00|                            225|\n|2018-10-31T00:00:00.000+08:00|                            216|\n|2018-12-31T00:00:00.000+08:00|                            208|\n|2019-02-28T00:00:00.000+08:00|                            216|\n|2019-04-30T00:00:00.000+08:00|                            208|\n|2019-06-30T00:00:00.000+08:00|                            199|\n|2019-08-31T00:00:00.000+08:00|                            181|\n|2019-10-31T00:00:00.000+08:00|                             69|\n+-----------------------------+-------------------------------+\n")])]),s._v(" "),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br"),t("span",{staticClass:"line-number"},[s._v("2")]),t("br"),t("span",{staticClass:"line-number"},[s._v("3")]),t("br"),t("span",{staticClass:"line-number"},[s._v("4")]),t("br"),t("span",{staticClass:"line-number"},[s._v("5")]),t("br"),t("span",{staticClass:"line-number"},[s._v("6")]),t("br"),t("span",{staticClass:"line-number"},[s._v("7")]),t("br"),t("span",{staticClass:"line-number"},[s._v("8")]),t("br"),t("span",{staticClass:"line-number"},[s._v("9")]),t("br"),t("span",{staticClass:"line-number"},[s._v("10")]),t("br"),t("span",{staticClass:"line-number"},[s._v("11")]),t("br"),t("span",{staticClass:"line-number"},[s._v("12")]),t("br"),t("span",{staticClass:"line-number"},[s._v("13")]),t("br"),t("span",{staticClass:"line-number"},[s._v("14")]),t("br"),t("span",{staticClass:"line-number"},[s._v("15")]),t("br"),t("span",{staticClass:"line-number"},[s._v("16")]),t("br"),t("span",{staticClass:"line-number"},[s._v("17")]),t("br")])]),t("h3",{attrs:{id:"左开右闭区间"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#左开右闭区间"}},[s._v("#")]),s._v(" 左开右闭区间")]),s._v(" "),t("p",[s._v("每个区间的结果时间戳为区间右端点，对应的 SQL 语句是：")]),s._v(" "),t("div",{staticClass:"language-sql line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-sql"}},[t("code",[t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("select")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token function"}},[s._v("count")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("status")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(")")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("from")]),s._v(" root"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("ln"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("wf01"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("wt01 "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("group")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("by")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("2017")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("11")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("01")]),s._v("T00:"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),s._v(":"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(",")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("2017")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("11")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("07")]),s._v("T23:"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),s._v(":"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("]")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(",")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("1")]),s._v("d"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(")")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(";")]),s._v("\n")])]),s._v(" "),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br")])]),t("p",[s._v("这条查询语句的时间区间是左开右闭的，结果中不会包含时间点 2017-11-01 的数据，但是会包含时间点 2017-11-07 的数据。")]),s._v(" "),t("p",[s._v("SQL 执行后的结果集如下所示：")]),s._v(" "),t("div",{staticClass:"language- line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-text"}},[t("code",[s._v("+-----------------------------+-------------------------------+\n|                         Time|count(root.ln.wf01.wt01.status)|\n+-----------------------------+-------------------------------+\n|2017-11-02T00:00:00.000+08:00|                           1440|\n|2017-11-03T00:00:00.000+08:00|                           1440|\n|2017-11-04T00:00:00.000+08:00|                           1440|\n|2017-11-05T00:00:00.000+08:00|                           1440|\n|2017-11-06T00:00:00.000+08:00|                           1440|\n|2017-11-07T00:00:00.000+08:00|                           1440|\n|2017-11-07T23:00:00.000+08:00|                           1380|\n+-----------------------------+-------------------------------+\nTotal line number = 7\nIt costs 0.004s\n")])]),s._v(" "),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br"),t("span",{staticClass:"line-number"},[s._v("2")]),t("br"),t("span",{staticClass:"line-number"},[s._v("3")]),t("br"),t("span",{staticClass:"line-number"},[s._v("4")]),t("br"),t("span",{staticClass:"line-number"},[s._v("5")]),t("br"),t("span",{staticClass:"line-number"},[s._v("6")]),t("br"),t("span",{staticClass:"line-number"},[s._v("7")]),t("br"),t("span",{staticClass:"line-number"},[s._v("8")]),t("br"),t("span",{staticClass:"line-number"},[s._v("9")]),t("br"),t("span",{staticClass:"line-number"},[s._v("10")]),t("br"),t("span",{staticClass:"line-number"},[s._v("11")]),t("br"),t("span",{staticClass:"line-number"},[s._v("12")]),t("br"),t("span",{staticClass:"line-number"},[s._v("13")]),t("br")])]),t("h2",{attrs:{id:"时间区间和路径层级混合聚合查询"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#时间区间和路径层级混合聚合查询"}},[s._v("#")]),s._v(" 时间区间和路径层级混合聚合查询")]),s._v(" "),t("p",[s._v("除此之外，还可以通过定义 LEVEL 来统计指定层级下的数据点个数。")]),s._v(" "),t("p",[s._v("例如：")]),s._v(" "),t("p",[s._v("统计降采样后的数据点个数")]),s._v(" "),t("div",{staticClass:"language-sql line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-sql"}},[t("code",[t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("select")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token function"}},[s._v("count")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("status")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(")")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("from")]),s._v(" root"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("ln"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("wf01"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("wt01 "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("group")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("by")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("2017")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("11")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("01")]),s._v("T00:"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),s._v(":"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(",")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("2017")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("11")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("07")]),s._v("T23:"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),s._v(":"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("]")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(",")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("1")]),s._v("d"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(")")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(",")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("level")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("=")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("1")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(";")]),s._v("\n")])]),s._v(" "),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br")])]),t("p",[s._v("结果：")]),s._v(" "),t("div",{staticClass:"language- line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-text"}},[t("code",[s._v("+-----------------------------+-------------------------+\n|                         Time|COUNT(root.ln.*.*.status)|\n+-----------------------------+-------------------------+\n|2017-11-02T00:00:00.000+08:00|                     1440|\n|2017-11-03T00:00:00.000+08:00|                     1440|\n|2017-11-04T00:00:00.000+08:00|                     1440|\n|2017-11-05T00:00:00.000+08:00|                     1440|\n|2017-11-06T00:00:00.000+08:00|                     1440|\n|2017-11-07T00:00:00.000+08:00|                     1440|\n|2017-11-07T23:00:00.000+08:00|                     1380|\n+-----------------------------+-------------------------+\nTotal line number = 7\nIt costs 0.006s\n")])]),s._v(" "),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br"),t("span",{staticClass:"line-number"},[s._v("2")]),t("br"),t("span",{staticClass:"line-number"},[s._v("3")]),t("br"),t("span",{staticClass:"line-number"},[s._v("4")]),t("br"),t("span",{staticClass:"line-number"},[s._v("5")]),t("br"),t("span",{staticClass:"line-number"},[s._v("6")]),t("br"),t("span",{staticClass:"line-number"},[s._v("7")]),t("br"),t("span",{staticClass:"line-number"},[s._v("8")]),t("br"),t("span",{staticClass:"line-number"},[s._v("9")]),t("br"),t("span",{staticClass:"line-number"},[s._v("10")]),t("br"),t("span",{staticClass:"line-number"},[s._v("11")]),t("br"),t("span",{staticClass:"line-number"},[s._v("12")]),t("br"),t("span",{staticClass:"line-number"},[s._v("13")]),t("br")])]),t("p",[s._v("加上滑动 Step 的降采样后的结果也可以汇总")]),s._v(" "),t("div",{staticClass:"language-sql line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-sql"}},[t("code",[t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("select")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token function"}},[s._v("count")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("status")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(")")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("from")]),s._v(" root"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("ln"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("wf01"),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(".")]),s._v("wt01 "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("group")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token keyword"}},[s._v("by")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("(")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v("[")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("2017")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("11")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("01")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),s._v(":"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),s._v(":"),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("00")]),t("span",{pre:!0,attrs:{class:"token punctuation"}},[s._v(",")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("2017")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("11")]),t("span",{pre:!0,attrs:{class:"token operator"}},[s._v("-")]),t("span",{pre:!0,attrs:{class:"token number"}},[s._v("07")]),s._v(" "),t("span",{pre:!0,attrs:{class:"token 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"),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br")])]),t("div",{staticClass:"language- line-numbers-mode"},[t("pre",{pre:!0,attrs:{class:"language-text"}},[t("code",[s._v("+-----------------------------+-------------------------+\n|                         Time|COUNT(root.ln.*.*.status)|\n+-----------------------------+-------------------------+\n|2017-11-01T00:00:00.000+08:00|                      180|\n|2017-11-02T00:00:00.000+08:00|                      180|\n|2017-11-03T00:00:00.000+08:00|                      180|\n|2017-11-04T00:00:00.000+08:00|                      180|\n|2017-11-05T00:00:00.000+08:00|                      180|\n|2017-11-06T00:00:00.000+08:00|                      180|\n|2017-11-07T00:00:00.000+08:00|                      180|\n+-----------------------------+-------------------------+\nTotal line number = 7\nIt costs 0.004s\n")])]),s._v(" "),t("div",{staticClass:"line-numbers-wrapper"},[t("span",{staticClass:"line-number"},[s._v("1")]),t("br"),t("span",{staticClass:"line-number"},[s._v("2")]),t("br"),t("span",{staticClass:"line-number"},[s._v("3")]),t("br"),t("span",{staticClass:"line-number"},[s._v("4")]),t("br"),t("span",{staticClass:"line-number"},[s._v("5")]),t("br"),t("span",{staticClass:"line-number"},[s._v("6")]),t("br"),t("span",{staticClass:"line-number"},[s._v("7")]),t("br"),t("span",{staticClass:"line-number"},[s._v("8")]),t("br"),t("span",{staticClass:"line-number"},[s._v("9")]),t("br"),t("span",{staticClass:"line-number"},[s._v("10")]),t("br"),t("span",{staticClass:"line-number"},[s._v("11")]),t("br"),t("span",{staticClass:"line-number"},[s._v("12")]),t("br"),t("span",{staticClass:"line-number"},[s._v("13")]),t("br")])])])}),[],!1,null,null,null);t.default=e.exports}}]);