azure Stream Analytics是第一个也是最后一个查询

问题描述 投票:0回答:1

我的有效负载如下。我需要每1分钟获取第一个不同的批次值。请让我知道如何使用isfirst和lag或last来在流分析中实现此目标

输出类似:

BATCH = 01,“ 2015-01-01T00:00:01.0000000Z”BATCH = 02,“ 2015-01-01T00:00:03.0000000Z”BATCH = 03,“ 2015-01-01T00:00:06.0000000Z”BATCH = 01,“ 2015-01-01T00:00:14.0000000Z”BATCH = 02,“ 2015-01-01T00:00:18.0000000Z”BATCH = 03,“ 2015-01-01T00:00:22.0000000Z”BATCH = 01,“ 2015-01-01T00:00:27.0000000Z”BATCH = 01,“ 2015-01-01T00:00:31.0000000Z”

Pay Load:
    [{
            "Payload": {
                "Make": "BATCH1",
                "VAL": "01",
                "TS": "2015-01-01T00:00:01.0000000Z"
            }
    },
    {
    "Payload": {
            "Make": "BATCH1",
            "VAL": "01",
            "TS": "2015-01-01T00:00:02.0000000Z"
        }
    },
    {
        "Payload": {
            "Make": "BATCH1",
            "VAL": "02",
            "TS": "2015-01-01T00:00:03.0000000Z"
        }
    },
    {
        "Payload": {
            "Make": "BATCH1",
            "VAL": "02",
            "TS": "2015-01-01T00:00:04.0000000Z"
        }
    },
    {
        "Payload": {
            "Make": "BATCH1",
            "VAL": "02",
            "TS": "2015-01-01T00:00:05.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH1",
            "VAL": "03",
            "TS": "2015-01-01T00:00:06.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH1",
            "VAL": "03",
            "TS": "2015-01-01T00:00:07.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH1",
            "VAL": "03",
            "TS": "2015-01-01T00:00:10.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH1",
            "VAL": "03",
            "TS": "2015-01-01T00:00:11.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH1",
            "VAL": "03",
            "TS": "2015-01-01T00:00:12.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH2",
            "VAL": "01",
            "TS": "2015-01-01T00:00:13.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH2",
            "VAL": "01",
            "TS": "2015-01-01T00:00:14.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH2",
            "VAL": "01",
            "TS": "2015-01-01T00:00:15.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH2",
            "VAL": "01",
            "TS": "2015-01-01T00:00:16.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH2",
            "VAL": "01",
            "TS": "2015-01-01T00:00:17.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH2",
            "VAL": "02",
            "TS": "2015-01-01T00:00:18.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH2",
            "VAL": "02",
            "TS": "2015-01-01T00:00:20.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH2",
            "VAL": "02",
            "TS": "2015-01-01T00:00:21.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH3",
            "VAL": "02",
            "TS": "2015-01-01T00:00:22.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH3",
            "VAL": "02",
            "TS": "2015-01-01T00:00:23.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH3",
            "VAL": "02",
            "TS": "2015-01-01T00:00:24.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH3",
            "VAL": "02",
            "TS": "2015-01-01T00:00:25.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH3",
            "VAL": "02",
            "TS": "2015-01-01T00:00:26.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH4",
            "VAL": "01",
            "TS": "2015-01-01T00:00:27.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH4",
            "VAL": "01",
            "TS": "2015-01-01T00:00:28.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH4",
            "VAL": "01",
            "TS": "2015-01-01T00:00:29.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH4",
            "VAL": "01",
            "TS": "2015-01-01T00:00:30.0000000Z"
        }

    },
    {"Payload": {
            "Make": "BATCH5",
            "VAL": "01",
            "TS": "2015-01-01T00:00:31.0000000Z"
        }

    }
    ]
azure-stream-analytics stream-analytics
1个回答
0
投票

我试图总结您的要求如下:

示例输入,在一个分钟的窗口中,每个批次ID可能有多个VAL更改:

Make:batch1,Val:01,Make:batch1,val:01,Make:batch1,val:02,编号:batch1,val:02××××××××××××××编号:batch2,val:01,Make:batch2,val:01,Xxxxxxxxxx

所需的输出,每批仅val更改,没有重复:

[Make:batch1,val:01 Make:batch1,val:02 Make:batch2,val:01

答案分为两部分:

1。静态收集数据,您可以使用内置的Tumbling Window function,如下所示:

2。没有内置的ASA函数(例如distinct)来过滤重复项。我建议您使用GROUP BYMAXASA UDFlink)接近结果。

SQL:

 SELECT g.Payload.Make,g.Payload.VAL,max(udf.convertdate(g.Payload.TS)) as TS
    FROM geoinput g TIMESTAMP BY g.Payload.TS
    GROUP BY g.Payload.Make,g.Payload.VAL, TumblingWindow(Duration(minute, 1))

测试输出:

enter image description here

顺便说一句,我只在UDF中使用下面的代码

var date = new Date(datetime);
    return date.getTime();

另一种解决方法,您可以在1分钟内收集所有数据,然后使用Azure Function as Output.。在Azure功能中,您可以根据需要处理数据。例如使用JSON对象存储数据。键值结构可以过滤重复的行。

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