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# 分布分析模型 API

调用方法请参见Open API文档中的调用方法描述。

可阅读使用手册中 分布分析 了解使用场景。

# 分布分析查询

接口URL

/open/distribution-analyze?token=xxx

请求方式

POST

Content-Type

application/json

请求Query参数

参数名
示例值
参数类型
是否必填
参数描述
token
xxx
String

查询密钥

# 请求Body参数

{
  "eventView":{
    "endTime":"2021-10-05 23:59:59",
    "groupBy":[
      {
        "columnDesc":"学历",
        "columnName":"education",
        "propertyRange":"",
        "specifiedClusterDate":"2022-01-24",
        "tableType":"user"
      },
      {
        "columnDesc":"城市",
        "columnName":"city",
        "propertyRange":"",
        "specifiedClusterDate":"2022-01-24",
        "tableType":"user"
      }],
    "recentDay":"114-115",
    "startTime":"2021-10-04 00:00:00",
    "taIdMeasureVo":{
      "columnDesc":"用户唯一ID",
      "columnName":"#user_id",
      "tableType":"event"
    },
    "timeParticleSize":"day"
  },
  "events":[
    {
      "customEvent":"activity_attend.TIMES",
      "customFilters":[
      ],
      "eventName":"自定义指标",
      "eventNameDisplay":"",
      "filts":[
        {
          "columnDesc":"城市",
          "columnName":"city",
          "comparator":"equal",
          "filterType":"SIMPLE",
          "ftv":[
            "北京市",
            "上海市",
            "广州市",
            "深圳市"],
          "specifiedClusterDate":"2022-01-27",
          "tableType":"user",
          "timeUnit":""
        }],
      "formulation":{
        "formulationDeps":[
          {
            "event":{
              "eventDesc":"参加活动",
              "eventName":"activity_attend"
            }
          }]
      },
      "intervalType":"user_defined",
      "quota":"",
      "quotaIntervalArr":[
        500],
      "relation":"and",
      "type":"customized"
    },
    {
      "analysis":"TOTAL_TIMES",
      "analysisDesc":"总次数",
      "eventName":"payment",
      "eventNameDisplay":"",
      "filts":[
      ],
      "intervalType":"def",
      "quota":"",
      "relation":"and",
      "type":"normal"
    }],
  "projectId":377,
  "limit": 2,
  "timeoutSeconds": 10,
  "useCache": true
}

# 请求参数说明

参数名
示例值
参数类型
是否必填
参数描述
eventView
-
Object

分组属性
endTime 2021-10-05 23:59:59
String

结束时间(格式:yyyy-MM-dd HH:mm:ss),相对时间为空时有效
groupBy -
List

分组属性,可以有零个或者多个
columnDesc 学历
String

字段显示名
columnName education
String

字段名
propertyRange String

自定义属性区间
specifiedClusterDate 2022-01-24
String

指定对应日期的标签历史版本
tableType user
String

表类型,event:事件表,user:用户表
recentDay 114-115
String

相对时间(此项不可与起始时间和结束时间同时为空)
startTime 2021-10-04 00:00:00
String

起始时间(格式:yyyy-MM-dd HH:mm:ss),相对时间为空时有效
taIdMeasureVo -
Object

分析主体配置
columnDesc 用户唯一ID
String

字段显示名
columnName #user_id
String

字段名
tableType event
String

表类型,event:事件表,user:用户表
timeParticleSize day
String

分析的时间单位
minute:按分钟
hour:按小时
day:按天
week:按周
month:按月
total:总计
events
-
List

事件指标列表
analysis TOTAL_TIMES
String

分析角度,具体见下表
analysisDesc 总次数
String

分析角度描述(显示名)
customEvent activity_attend.TIMES
String

自定义事件
customFilters []
List

自定义事件过滤
eventName login
String

事件名称,特别的,可以使用 anyEvent 表示任意事件
eventNameDisplay String

事件显示名
filts -
List

条件列表列表
columnDesc 城市
String

字段显示名
columnName city
String

字段名称
comparator equal
String

参考: 模型查询API的筛选表达式
filterType SIMPLE
String

过滤模式,SIMPLE:简单,COMPOUND:复合
ftv ["北京市"]
List

属性对比值
specifiedClusterDate 2022-01-27
String

指定对应日期的标签历史版本
tableType user
String

表类型,event:事件表,user:用户表
timeUnit String

过滤时间单位
formulation -
Object

新公式实体
formulationDeps -
List


公式依赖
event -
Object

依赖事件
eventDesc 参加活动
String

事件显示名
eventName activity_attend
String

事件名称
intervalType user_defined
String

区间间隔类型
discrete:离散数字
def:默认区间
user_defined:用户自定义
quota String

指标属性
quotaIntervalArr [500]
List

指标区间
relation and
String

逻辑关系,and:逻辑与,or:逻辑或
type normal
String

指标类型,
normal:正
customized:自定义
projectId
0
Integer

项目ID
limit
2
Integer

每分析对象的分组数上限,可选参数,默认为1000,最大为10000
timeoutSeconds
10
Integer

请求超时参数,超时则取消查询任务
useCache
true
Boolean

使用缓存,可选参数,默认为true

分布分析聚合方法 analysis 取值:


描述
是否需要属性
TIMES
次数

NUMBER_OF_DAYS
天数

NUMBER_OF_HOURS
小时数

SUM
数值总和

AVG
数值平均值

MAX
数值最大值

MIN
数值最小值

DISTINCT
去重数

TRUE
为真数

FALSE
为假数

IS_NOT_EMPTY
不为空数

IS_EMPTY
为空数

ARRAY_DISTINCT
列表整体去重数

ARRAY_SET_DISTINCT
元素集合去重数

ARRAY_ITEM_DISTINCT
列表元素去重数

MEDIAN
中位数

# 成功响应示例

{
  "data": {
    "distribution_interval": [
      ",500",
      "500,"
    ],
    "result_generate_time": "2022-01-27 11:25:44",
    "x": [
      "2021-10-04",
      "2021-10-05"
    ],
    "y": {
      "2021-10-04": [
        {
          "groupCols": [
            "总体",
            "总体"
          ],
          "isTotal": 1,
          "meanwhileValues": [
            "28249",
            "-"
          ],
          "totalMeanwhileValue": "28249",
          "totalUserNum": 1722,
          "values": [
            1722,
            0
          ]
        },
        {
          "groupCols": [
            "其他",
            "北京市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "3842",
            "-"
          ],
          "totalMeanwhileValue": "3842",
          "totalUserNum": 235,
          "values": [
            235,
            0
          ]
        },
        {
          "groupCols": [
            "大专",
            "北京市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "2421",
            "-"
          ],
          "totalMeanwhileValue": "2421",
          "totalUserNum": 154,
          "values": [
            154,
            0
          ]
        },
        {
          "groupCols": [
            "其他",
            "上海市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "2518",
            "-"
          ],
          "totalMeanwhileValue": "2518",
          "totalUserNum": 151,
          "values": [
            151,
            0
          ]
        },
        {
          "groupCols": [
            "其他",
            "深圳市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "2355",
            "-"
          ],
          "totalMeanwhileValue": "2355",
          "totalUserNum": 142,
          "values": [
            142,
            0
          ]
        },
        {
          "groupCols": [
            "其他",
            "广州市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1906",
            "-"
          ],
          "totalMeanwhileValue": "1906",
          "totalUserNum": 116,
          "values": [
            116,
            0
          ]
        },
        {
          "groupCols": [
            "大专",
            "深圳市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1738",
            "-"
          ],
          "totalMeanwhileValue": "1738",
          "totalUserNum": 107,
          "values": [
            107,
            0
          ]
        },
        {
          "groupCols": [
            "本科",
            "北京市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1720",
            "-"
          ],
          "totalMeanwhileValue": "1720",
          "totalUserNum": 106,
          "values": [
            106,
            0
          ]
        },
        {
          "groupCols": [
            "大专",
            "上海市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1658",
            "-"
          ],
          "totalMeanwhileValue": "1658",
          "totalUserNum": 101,
          "values": [
            101,
            0
          ]
        },
        {
          "groupCols": [
            "本科",
            "上海市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1595",
            "-"
          ],
          "totalMeanwhileValue": "1595",
          "totalUserNum": 96,
          "values": [
            96,
            0
          ]
        },
        {
          "groupCols": [
            "研究生",
            "北京市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1315",
            "-"
          ],
          "totalMeanwhileValue": "1315",
          "totalUserNum": 78,
          "values": [
            78,
            0
          ]
        },
        {
          "groupCols": [
            "本科",
            "深圳市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1276",
            "-"
          ],
          "totalMeanwhileValue": "1276",
          "totalUserNum": 75,
          "values": [
            75,
            0
          ]
        },
        {
          "groupCols": [
            "大专",
            "广州市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1207",
            "-"
          ],
          "totalMeanwhileValue": "1207",
          "totalUserNum": 75,
          "values": [
            75,
            0
          ]
        },
        {
          "groupCols": [
            "研究生",
            "上海市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1032",
            "-"
          ],
          "totalMeanwhileValue": "1032",
          "totalUserNum": 63,
          "values": [
            63,
            0
          ]
        },
        {
          "groupCols": [
            "本科",
            "广州市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "796",
            "-"
          ],
          "totalMeanwhileValue": "796",
          "totalUserNum": 49,
          "values": [
            49,
            0
          ]
        },
        {
          "groupCols": [
            "研究生",
            "深圳市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "678",
            "-"
          ],
          "totalMeanwhileValue": "678",
          "totalUserNum": 42,
          "values": [
            42,
            0
          ]
        },
        {
          "groupCols": [
            "研究生",
            "广州市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "674",
            "-"
          ],
          "totalMeanwhileValue": "674",
          "totalUserNum": 38,
          "values": [
            38,
            0
          ]
        },
        {
          "groupCols": [
            "博士",
            "北京市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "514",
            "-"
          ],
          "totalMeanwhileValue": "514",
          "totalUserNum": 33,
          "values": [
            33,
            0
          ]
        },
        {
          "groupCols": [
            "博士",
            "深圳市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "361",
            "-"
          ],
          "totalMeanwhileValue": "361",
          "totalUserNum": 21,
          "values": [
            21,
            0
          ]
        },
        {
          "groupCols": [
            "博士",
            "广州市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "327",
            "-"
          ],
          "totalMeanwhileValue": "327",
          "totalUserNum": 20,
          "values": [
            20,
            0
          ]
        },
        {
          "groupCols": [
            "博士",
            "上海市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "316",
            "-"
          ],
          "totalMeanwhileValue": "316",
          "totalUserNum": 20,
          "values": [
            20,
            0
          ]
        }
      ],
      "2021-10-05": [
        {
          "groupCols": [
            "总体",
            "总体"
          ],
          "isTotal": 1,
          "meanwhileValues": [
            "24907",
            "-"
          ],
          "totalMeanwhileValue": "24907",
          "totalUserNum": 1503,
          "values": [
            1503,
            0
          ]
        },
        {
          "groupCols": [
            "其他",
            "北京市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "3535",
            "-"
          ],
          "totalMeanwhileValue": "3535",
          "totalUserNum": 221,
          "values": [
            221,
            0
          ]
        },
        {
          "groupCols": [
            "其他",
            "上海市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "2833",
            "-"
          ],
          "totalMeanwhileValue": "2833",
          "totalUserNum": 162,
          "values": [
            162,
            0
          ]
        },
        {
          "groupCols": [
            "大专",
            "北京市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "2183",
            "-"
          ],
          "totalMeanwhileValue": "2183",
          "totalUserNum": 130,
          "values": [
            130,
            0
          ]
        },
        {
          "groupCols": [
            "其他",
            "广州市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1946",
            "-"
          ],
          "totalMeanwhileValue": "1946",
          "totalUserNum": 116,
          "values": [
            116,
            0
          ]
        },
        {
          "groupCols": [
            "其他",
            "深圳市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1743",
            "-"
          ],
          "totalMeanwhileValue": "1743",
          "totalUserNum": 109,
          "values": [
            109,
            0
          ]
        },
        {
          "groupCols": [
            "本科",
            "北京市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1753",
            "-"
          ],
          "totalMeanwhileValue": "1753",
          "totalUserNum": 107,
          "values": [
            107,
            0
          ]
        },
        {
          "groupCols": [
            "大专",
            "上海市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1606",
            "-"
          ],
          "totalMeanwhileValue": "1606",
          "totalUserNum": 92,
          "values": [
            92,
            0
          ]
        },
        {
          "groupCols": [
            "本科",
            "上海市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1421",
            "-"
          ],
          "totalMeanwhileValue": "1421",
          "totalUserNum": 81,
          "values": [
            81,
            0
          ]
        },
        {
          "groupCols": [
            "本科",
            "深圳市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1093",
            "-"
          ],
          "totalMeanwhileValue": "1093",
          "totalUserNum": 68,
          "values": [
            68,
            0
          ]
        },
        {
          "groupCols": [
            "研究生",
            "北京市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "1037",
            "-"
          ],
          "totalMeanwhileValue": "1037",
          "totalUserNum": 65,
          "values": [
            65,
            0
          ]
        },
        {
          "groupCols": [
            "大专",
            "广州市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "947",
            "-"
          ],
          "totalMeanwhileValue": "947",
          "totalUserNum": 59,
          "values": [
            59,
            0
          ]
        },
        {
          "groupCols": [
            "大专",
            "深圳市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "963",
            "-"
          ],
          "totalMeanwhileValue": "963",
          "totalUserNum": 58,
          "values": [
            58,
            0
          ]
        },
        {
          "groupCols": [
            "研究生",
            "上海市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "698",
            "-"
          ],
          "totalMeanwhileValue": "698",
          "totalUserNum": 42,
          "values": [
            42,
            0
          ]
        },
        {
          "groupCols": [
            "本科",
            "广州市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "608",
            "-"
          ],
          "totalMeanwhileValue": "608",
          "totalUserNum": 39,
          "values": [
            39,
            0
          ]
        },
        {
          "groupCols": [
            "研究生",
            "深圳市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "560",
            "-"
          ],
          "totalMeanwhileValue": "560",
          "totalUserNum": 37,
          "values": [
            37,
            0
          ]
        },
        {
          "groupCols": [
            "研究生",
            "广州市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "553",
            "-"
          ],
          "totalMeanwhileValue": "553",
          "totalUserNum": 31,
          "values": [
            31,
            0
          ]
        },
        {
          "groupCols": [
            "博士",
            "北京市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "478",
            "-"
          ],
          "totalMeanwhileValue": "478",
          "totalUserNum": 29,
          "values": [
            29,
            0
          ]
        },
        {
          "groupCols": [
            "博士",
            "广州市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "353",
            "-"
          ],
          "totalMeanwhileValue": "353",
          "totalUserNum": 22,
          "values": [
            22,
            0
          ]
        },
        {
          "groupCols": [
            "博士",
            "上海市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "339",
            "-"
          ],
          "totalMeanwhileValue": "339",
          "totalUserNum": 19,
          "values": [
            19,
            0
          ]
        },
        {
          "groupCols": [
            "博士",
            "深圳市"
          ],
          "isTotal": 0,
          "meanwhileValues": [
            "258",
            "-"
          ],
          "totalMeanwhileValue": "258",
          "totalUserNum": 16,
          "values": [
            16,
            0
          ]
        }
      ]
    }
  },
  "return_code": 0,
  "return_message": "success"
}

# 响应参数说明

参数名
示例值
参数类型
参数描述
return_code
0
Integer
返回码
return_message
success
String
返回信息
data
-
Object
返回结果
distribution_interval [",500","500,"]
List
分布间隔
result_generate_time 2022-01-27 11:25:44
String
结果生成时间
x ["2021-10-04"]
List
x轴信息
y -
List
y轴信息

错误响应示例

{
    "return_code": -1008,
    "return_message": "参数(token)为空"
}
参数名
示例值
参数类型
参数描述
return_code
-1008
Integer
返回码
return_message
参数(token)为空
String
返回信息

# 分布分析全量下载

接口URL

/open/streaming-download/distribution-analyze?token=xxx

请求方式

POST

Content-Type

application/json

请求Query参数

参数名
示例值
参数类型
是否必填
参数描述
token
xxx
String

查询密钥

# 请求Body参数

{
        "eventView": {
                "endTime": "2022-03-07 17:36:54",
                "groupBy": [{
                        "columnDesc": "channel",
                        "columnName": "channel",
                        "propertyRange": "",
                        "specifiedClusterDate": "2022-03-08",
                        "tableType": "event"
                }],
                "recentDay": "1-7",
                "startTime": "2022-03-01 17:36:54",
                "taIdMeasureVo": {
                        "columnDesc": "用户唯一ID",
                        "columnName": "#user_id",
                        "tableType": "event"
                },
                "timeParticleSize": "day"
        },
        "events": [{
                "analysis": "TIMES",
                "analysisDesc": "次数",
                "eventName": "LogOut",
                "eventNameDisplay": "",
                "filts": [],
                "intervalType": "def",
                "quota": "",
                "relation": "and",
                "type": "normal"
        }],
        "projectId": 319,
        "interval": "['1']"
}

# 请求参数说明

参数名
示例值
参数类型
是否必填
参数描述
eventView
-
Object

分组属性
endTime 2021-10-05 23:59:59
String

结束时间(格式:yyyy-MM-dd HH:mm:ss),相对时间为空时有效
groupBy -
List

分组属性,可以有零个或者多个
columnDesc 学历
String

字段显示名
columnName education
String

字段名
propertyRange String

自定义属性区间
specifiedClusterDate 2022-01-24
String

指定对应日期的标签历史版本
tableType user
String

表类型,event:事件表,user:用户表
recentDay 114-115
String

相对时间(此项不可与起始时间和结束时间同时为空)
startTime 2021-10-04 00:00:00
String

起始时间(格式:yyyy-MM-dd HH:mm:ss),相对时间为空时有效
taIdMeasureVo -
Object

分析主体配置
columnDesc 用户唯一ID
String

字段显示名
columnName #user_id
String

字段名
tableType event
String

表类型,event:事件表,user:用户表
timeParticleSize day
String

分析的时间单位
minute:按分钟
hour:按小时
day:按天
week:按周
month:按月
total:总计
events
-
List

事件指标列表
analysis TOTAL_TIMES
String

分析角度,具体见下表
analysisDesc 总次数
String

分析角度描述(显示名)
customEvent activity_attend.TIMES
String

自定义事件
customFilters []
List

自定义事件过滤
eventName login
String

事件名称,特别的,可以使用 anyEvent 表示任意事件
eventNameDisplay String

事件显示名
filts -
List

条件列表列表
columnDesc 城市
String

字段显示名
columnName city
String

字段名称
comparator equal
String

参考: 模型查询
API
的筛选表达式
filterType SIMPLE
String

过滤模式,SIMPLE:简单,COMPOUND:复合
ftv ["北京市"]
List

属性对比值
specifiedClusterDate 2022-01-27
String

指定对应日期的标签历史版本
tableType user
String

表类型,event:事件表,user:用户表
timeUnit String

过滤时间单位
formulation -
Object

新公式实体
formulationDeps -
List

公式依赖
event -
Object

依赖事件
eventDesc 参加活动
String

事件显示名
eventName activity_attend
String

事件名称
intervalType user_defined
String

区间间隔类型
discrete:离散数字
def:默认区间
user_defined:用户自定义
quota String

指标属性
quotaIntervalArr [500]
List

指标区间
relation and
String

逻辑关系,and:逻辑与,or:逻辑或
type normal
String

指标类型,
normal:正
customized:自定义
projectId
0
Integer

项目ID
interval
['1']
String

间隔

提示

请求参数可以直接从TA系统 分布分析页面导出,并添加interval参数,该参数可以从全量下载页面抓取

# 响应

同TA系统事件分析全量下载

# 分布分析用户列表

接口URL

/open/distribution-user-list?token=xxx

请求方式

POST

Content-Type

application/json

请求Query参数

参数名
示例值
参数类型
是否必填
参数描述
token
xxx
String

查询密钥

# 请求Body参数

{
  "projectId": 0,
  "eventView": {
    "startTime": "2019-10-28 00:00:00",
    "endTime": "2019-11-26 00:00:00",
    "recentDay": "D31",
    "timeParticleSize": "week",
    "groupBy": [
      {
        "columnName": "#province",
        "tableType": "event"
      }
    ]
  },
  "events": [{
    "analysis": "TIMES",
    "eventName": "consume_item",
    "intervalType": "def",
    "quota": "",
    "relation": "and",
    "filts": [
      {
        "columnName": "#os",
        "comparator": "equal",
        "ftv": [
          "android"
        ],
        "tableType": "event"
      }
    ]
  }],
  "interval": "10,20",
  "sliceDate": "2019-11-18",
  "sliceGroupVal": ["北京市"],
  "timeoutSeconds": 10
}

# 请求参数说明

参数名
示例值
参数类型
是否必填
参数描述
projectId
0
String

参数描述
eventView
-
Object

分组属性表
startTime 2019-10-28 00:00:00
String

起始时间(格式:yyyy-MM-dd HH:mm:ss),相对时间为空时有效
endTime 2019-11-26 00:00:00
String

结束时间(格式:yyyy-MM-dd HH:mm:ss),相对时间为空时有效
recentDay D31
String

相对时间(此项不可与起始时间和结束时间同时为空)
timeParticleSize week
String

分析的时间单位
minute:按分钟
hour:按小时
day:按天
week:按周
month:按月
total:总计
groupBy -
List

分组属性,可以有零个或者多个
columnName #city
String

字段名
tableType event
String

表类型,event:事件表,user:用户表
events
List

事件指标列表
eventName consume_item
String

事件名称,特别的,可以使用 anyEvent 表示任意事件
analysis TIMES
String

分析类型,聚合操作,具体见下表
quota String

指标属性(配合analysis,意思是哪个属性的哪个分析角度)
relation and
String

逻辑关系,and:逻辑与,or:逻辑或
intervalType def
String

discrete:离散数字
def:默认区间
user_defined:用户自定义
filts -
List

筛选项列表
columnName #os
String

字段名称
comparator equal
String

参考: 模型查询API的筛选表达式
ftv ["android"]
List

属性对比值
tableType event
String

表类型,event:事件表,user:用户表
interval
10,20
String

[10,20)小时
sliceDate
"2019-11-18"
String

2019-11-18当周
sliceGroupVal
["北京市"]
String

事件所在分组
timeoutSeconds
10
Integer

请求超时参数,超时则取消查询任务

# 成功响应示例

{
  "data": {
    "datalist": [
      {
        "#account_id": "h7784497",
        "#distinct_id": "h14456917",
        "user_level": 13,
        "register_time": "2019-11-24 21:52:38",
        "diamond_num": 1201,
        "latest_login_time": "2019-11-24 23:35:49",
        "channel": "百度手机助手",
        "#user_id": 3336217
      },
      {
        "#account_id": "h6201359",
        "#distinct_id": "h11516759",
        "user_level": 68,
        "register_time": "2019-06-23 09:25:18",
        "diamond_num": 1686,
        "first_recharge_time": "2019-06-23 09:25:38",
        "latest_login_time": "2019-11-18 23:01:49",
        "channel": "华为应用市场",
        "#user_id": 2657759
      },
      {
        "#account_id": "g4102426",
        "#distinct_id": "g7618786",
        "user_level": 47,
        "register_time": "2019-07-29 13:58:23",
        "diamond_num": 1,
        "first_recharge_time": "2019-07-29 15:42:20",
        "latest_login_time": "2019-11-24 16:04:03",
        "channel": "应用宝",
        "#user_id": 1758186
      }
    ],
    "columMeta": {
      "#account_id": "账户ID",
      "#distinct_id": "访客ID",
      "user_level": "用户等级",
      "register_time": "注册时间",
      "diamond_num": "当前拥有钻石数",
      "first_recharge_time": "首次充值时间",
      "latest_login_time": "最后登录时间",
      "channel": "渠道"
    }
  },
  "return_code": 0,
  "return_message": "success"
}

# 响应参数说明

参数名
示例值
参数类型
参数描述
return_code
0
Integer
返回码
return_message
success
String
返回信息
data
-
Object
返回结果
datalist -
List
用户信息
columMeta -
Map
字段含义映射

错误响应示例

{
    "return_code": -1008,
    "return_message": "参数(token)为空"
}
参数名
示例值
参数类型
参数描述
return_code
-1008
Integer
返回码
return_message
参数(token)为空
String
返回信息

# 分布分析用户列表下载

接口URL

/open/streaming-download/distribution-user-list?token=xxx

请求方式

POST

Content-Type

application/json

请求Query参数

参数名
示例值
参数类型
是否必填
参数描述
token
xxx
String

查询密钥

# 请求Body参数

{
        "eventView": {
                "endTime": "2022-03-07 17:36:54",
                "groupBy": [{
                        "columnDesc": "channel",
                        "columnName": "channel",
                        "propertyRange": "",
                        "specifiedClusterDate": "2022-03-08",
                        "tableType": "event"
                }],
                "recentDay": "1-7",
                "startTime": "2022-03-01 17:36:54",
                "taIdMeasureVo": {
                        "columnDesc": "用户唯一ID",
                        "columnName": "#user_id",
                        "tableType": "event"
                },
                "timeParticleSize": "day"
        },
        "events": [{
                "analysis": "TIMES",
                "analysisDesc": "次数",
                "eventName": "LogOut",
                "eventNameDisplay": "",
                "filts": [],
                "intervalType": "def",
                "quota": "",
                "relation": "and",
                "type": "normal"
        }],
        "projectId": 319,
        "groupBit": 0,
        "sliceDate": "2022-03-01",
        "sliceGroupVal": ["VIVO应用商城"],
        "selectedColumns": ["#account_id", "#distinct_id"]
}

# 请求参数说明

参数名
示例值
参数类型
是否必填
参数描述
projectId
0
String

参数描述
eventView
-
Object

分组属性表
startTime 2019-10-28 00:00:00
String

起始时间(格式:yyyy-MM-dd HH:mm:ss),相对时间为空时有效
endTime 2019-11-26 00:00:00
String

结束时间(格式:yyyy-MM-dd HH:mm:ss),相对时间为空时有效
recentDay D31
String

相对时间(此项不可与起始时间和结束时间同时为空)
timeParticleSize week
String

分析的时间单位
minute:按分钟
hour:按小时
day:按天
week:按周
month:按月
total:总计
groupBy -
List

分组属性,可以有零个或者多个
columnName #city
String

字段名
tableType event
String

表类型,event:事件表,user:用户表
events
List

事件指标列表
eventName consume_item
String

事件名称,特别的,可以使用 anyEvent 表示任意事件
analysis TIMES
String

分析类型,聚合操作,具体见下表
quota String

指标属性(配合analysis,意思是哪个属性的哪个分析角度)
relation and
String

逻辑关系,and:逻辑与,or:逻辑或
intervalType def
String

discrete:离散数字
def:默认区间
user_defined:用户自定义
filts -
List

筛选项列表
columnName #os
String

字段名称
comparator equal
String

参考: 模型查询
API
的筛选表达式
ftv ["android"]
List

属性对比值
tableType event
String

表类型,event:事件表,user:用户表
groupBit
0
Integer

事件日期
sliceDate
"2019-11-18"
String

2019-11-18当周
sliceGroupVal
["北京市"]
String

事件所在分组
selectedColumns
["#account_id"]
array

被下载的列

# 响应

同TA系统分布分析用户列表下载