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{
    "success": false,
    "data": [
        {
            "__timestamp": "2022-09-01",
            "sum(sales)": 2158,
            "category": "家电"
        },
        {
            "__timestamp": "2022-09-02",
            "sum(sales)": 3025,
            "category": "家电"
        },
        {
            "__timestamp": "2022-09-03",
            "sum(sales)": 2292,
            "category": "家电"
        },
        {
            "__timestamp": "2022-09-04",
            "sum(sales)": 2317,
            "category": "家电"
        },
        {
            "__timestamp": "2022-09-05",
            "sum(sales)": 2668,
            "category": "家电"
        },
        {
            "__timestamp": "2022-09-06",
            "sum(sales)": 1968,
            "category": "家电"
        },
        {
            "__timestamp": "2022-09-07",
            "sum(sales)": 2635,
            "category": "家电"
        },
        {
            "__timestamp": "2022-09-08",
            "sum(sales)": 2240,
            "category": "家电"
        },
        {
            "__timestamp": "2022-09-09",
            "sum(sales)": 2595,
            "category": "家电"
        },
        {
            "__timestamp": "2022-09-10",
            "sum(sales)": 2406,
            "category": "家电"
        },
        {
            "__timestamp": "2022-09-01",
            "sum(sales)": 6034,
            "category": "手机"
        },
        {
            "__timestamp": "2022-09-02",
            "sum(sales)": 6988,
            "category": "手机"
        },
        {
            "__timestamp": "2022-09-03",
            "sum(sales)": 6663,
            "category": "手机"
        },
        {
            "__timestamp": "2022-09-04",
            "sum(sales)": 6992,
            "category": "手机"
        },
        {
            "__timestamp": "2022-09-05",
            "sum(sales)": 7268,
            "category": "手机"
        },
        {
            "__timestamp": "2022-09-06",
            "sum(sales)": 7154,
            "category": "手机"
        },
        {
            "__timestamp": "2022-09-07",
            "sum(sales)": 6315,
            "category": "手机"
        },
        {
            "__timestamp": "2022-09-08",
            "sum(sales)": 7193,
            "category": "手机"
        },
        {
            "__timestamp": "2022-09-09",
            "sum(sales)": 6459,
            "category": "手机"
        },
        {
            "__timestamp": "2022-09-10",
            "sum(sales)": 7090,
            "category": "手机"
        },
        {
            "__timestamp": "2022-09-01",
            "sum(sales)": 2156,
            "category": "电脑"
        },
        {
            "__timestamp": "2022-09-02",
            "sum(sales)": 1969,
            "category": "电脑"
        },
        {
            "__timestamp": "2022-09-03",
            "sum(sales)": 2206,
            "category": "电脑"
        },
        {
            "__timestamp": "2022-09-04",
            "sum(sales)": 2455,
            "category": "电脑"
        },
        {
            "__timestamp": "2022-09-05",
            "sum(sales)": 2144,
            "category": "电脑"
        },
        {
            "__timestamp": "2022-09-06",
            "sum(sales)": 1956,
            "category": "电脑"
        },
        {
            "__timestamp": "2022-09-07",
            "sum(sales)": 2056,
            "category": "电脑"
        },
        {
            "__timestamp": "2022-09-08",
            "sum(sales)": 2276,
            "category": "电脑"
        },
        {
            "__timestamp": "2022-09-09",
            "sum(sales)": 1789,
            "category": "电脑"
        },
        {
            "__timestamp": "2022-09-10",
            "sum(sales)": 2325,
            "category": "电脑"
        }
    ],
    "columnData": {
        "date": {
            "type": "date",
            "tableName": "",
            "originalColumn": "date",
            "aggregate": "",
            "alias": "__timestamp",
            "remark": "日期"
        },
        "sales": {
            "type": "bigint",
            "tableName": "",
            "originalColumn": "sales",
            "aggregate": "sum",
            "alias": "sum(sales)",
            "remark": "销售额[求和]"
        },
        "category": {
            "type": "varchar",
            "tableName": "",
            "originalColumn": "category",
            "aggregate": "",
            "alias": "category",
            "remark": "类别"
        }
    }
}




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