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事件分析模型 API

最近更新 2026/10/03

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 事件分析 了解使用场景。

1. 事件分析查询​

接口URL

/open/event-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
tokenxxxString是查询密钥

请求Body参数​

{
    "eventView": {
        "comparedByTime": true,
        "comparedStartTime": "2021-12-14 00:00:00",
        "comparedEndTime": "2021-12-20 23:59:59",
        "comparedRecentDay": "8-14",
        "startTime": "2021-12-21 00:00:00",
        "endTime": "2021-12-27 23:59:59",
        "recentDay": "1-7",
        "timeParticleSize": "day",
        "eventSplit": {
            "event": {
                "eventDesc": "登录",
                "eventName": "login"
            },
            "groupByProp": {
                "columnDesc": "浏览器",
                "columnName": "browser",
                "propertyRange": "",
                "tableType": "event"
            }
        },
        "groupBy": [{
            "columnDesc": "品牌",
            "columnName": "brand",
            "propertyRange": "",
            "specifiedClusterDate": "2021-12-28",
            "tableType": "event"
        }],
        "relation": "and",
        "filts": [{
            "columnDesc": "品牌",
            "columnName": "brand",
            "comparator": "equal",
            "filterType": "SIMPLE",
            "ftv": ["苹果", "小米"],
            "specifiedClusterDate": "2021-12-28",
            "tableType": "event",
            "timeUnit": ""
        }],
        "queryFeature": {
            "approximateOn": true,
            "globalQueryOn": false
        }
    },
    "events": [{
        "analysis": "TOTAL_TIMES",
        "analysisParams": "",
        "eventName": "login",
        "eventNameDisplay": "登录的总次数",
        "eventSplitIndexes": [0],
        "eventUuid": "7FonAy-G",
        "filts": [],
        "quota": "",
        "relation": "and",
        "type": "normal"
    }, {
        "analysis": "TRIG_USER_NUM",
        "analysisParams": "",
        "eventName": "activity_attend",
        "eventNameDisplay": "参加活动的触发用户数",
        "eventUuid": "K9A5NDAz",
        "filts": [{
            "columnDesc": "app版本",
            "columnName": "app_version",
            "comparator": "notNull",
            "filterType": "SIMPLE",
            "ftv": [],
            "specifiedClusterDate": "2021-12-28",
            "tableType": "event",
            "timeUnit": ""
        }],
        "quota": "",
        "quotaEntities": [{
            "index": 0,
            "taIdMeasure": {
                "columnDesc": "用户唯一ID",
                "columnName": "#user_id",
                "tableType": "event"
            }
        }],
        "relation": "and",
        "type": "normal"
    }, {
        "customEvent": "logout.PER_CAPITA_TIMES",
        "customFilters": [],
        "eventName": "自定义指标",
        "eventNameDisplay": "",
        "eventSplitIndexes": [],
        "eventUuid": "gxqT19xz",
        "filts": [],
        "format": "float",
        "quota": "",
        "quotaEntities": [{
            "index": 0,
            "taIdMeasure": {
                "columnDesc": "邮箱",
                "columnName": "email",
                "tableType": "user"
            }
        }],
        "quotaTimeRanges": [{
            "index": 0,
            "params": ["1"],
            "type": "THIS_WEEK"
        }],
        "relation": "and",
        "type": "customized"
    }],
    "projectId": 377,
    "useSameResultKey": false,
    "useCache": true,
    "limit": 1000,
    "timeoutSeconds": 10,
    "zoneOffset": 10
}
提示

入参由多部分组成其中：基础参数必选；时间对比参数、事件拆分参数、分组项参数、全局筛选项参数、查询配置项参数可选；普通分析指标和自定义分析指标二选一。

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是指标公共属性部分
eventView.comparedByTimetrueBoolean否是否对比时间，TRUE：是，FALSE：否

eventView.comparedStartTime

2021-12-14 00:00:00String

否

对比时间开始时间（格式：yyyy-MM-dd HH:mm:ss），对比时间相对时间为空时有效
eventView.comparedEndTime2021-12-20 23:59:59String否对比时间结束时间（格式：yyyy-MM-dd HH:mm:ss），对比时间相对时间为空时有效
eventView.comparedRecentDay8-14String否对比时间相对时间（comparedByTime为TRUE时，此项不可与对比时间起始时间和对比时间结束时间同时为空）
eventView.startTime2021-12-21 00:00:00String否起始时间（格式：yyyy-MM-dd HH:mm:ss），相对时间为空时有效
eventView.endTime2021-12-27 23:59:59String否结束时间（格式：yyyy-MM-dd HH:mm:ss），相对时间为空时有效
eventView.recentDay1-7String否相对时间（此项不可与起始时间和结束时间同时为空）
eventView.relationandString否逻辑关系，and：逻辑与，or：逻辑或
eventView.timeParticleSizedayString是

分析的时间单位

  • minute：按1分钟
  • minute5：按5分钟（v3.5开始支持）
  • minute10：按10分钟（v3.5开始支持）
  • hour：按小时
  • day：按天
  • week：按周
  • month：按月
  • total：总计
eventView.eventSplit-Object否事件拆分信息
eventView.eventSplit.event-Object是事件拆分事件信息
eventView.eventSplit.event.eventDesc登录String否事件拆分指标显示名
eventView.eventSplit.event.eventNameloginString是事件拆分指标事件名
eventView.eventSplit.groupByProp-Object是事件拆分指标分组信息
eventView.eventSplit.groupByProp.columnDesc浏览器String否事件拆分分组字段显示名
eventView.eventSplit.groupByProp.columnNamebrowserString是事件拆分分组字段字段名
eventView.eventSplit.groupByProp.propertyRangeString否事件拆分分组属性区间
eventView.eventSplit.groupByProp.tableTypeeventString是表类型枚举值
eventView.groupBy-List否分组属性，可以有零个或者多个
eventView.groupBy.columnNamebrandString是字段名
eventView.groupBy.columnDesc品牌String否字段显示名
eventView.groupBy.propertyRangeString否自定义属性区间
eventView.groupBy.propertyRangeTypeString否

属性区间类型，对数值型属性进行分组时，可以为自定义分桶条件

  • def：默认区间，由系统自动划分
  • discrete：每个值为一个独立的分组
  • user_defined：用户自定义。自定义内容设置在 propertyRange 中
eventView.groupBy.specifiedClusterDate2021-12-28String否指定对应日期的标签历史版本
eventView.groupBy.tableTypeeventString是表类型枚举值
eventView.filts-List否全局筛选项
eventView.filts.columnDesc品牌String否字段显示名
eventView.filts.columnNamebrandString是字段名
eventView.filts.comparatorequalString是参考： 模型查询API的筛选表达式
eventView.filts.filterTypeSIMPLEString否过滤模式，SIMPLE：简单，COMPOUND：复合，默认SIMPLE
eventView.filts.ftv["苹果", "小米"]List否用于属性比较边界的字面常量
eventView.filts.specifiedClusterDate2021-12-28String否指定对应日期的标签历史版本
eventView.filts.tableTypeeventString是表类型枚举值
eventView.filts.timeUnitString否属性对比值单位，仅对relativeEvent*有效：day，hour，minute
eventView.queryFeature-Object否查询配置
eventView.queryFeature.approximateOntrueBoolean否是否开启近似计算
events-List是事件指标列表
events.analysisTRIG_USER_NUMString否分析角度，聚合操作，具体见 事件聚合类型枚举值
events.analysisParamsString否分析角度参数（analysis为PERCENTILE时不能为空，取值范围：1-100，代表几分位）
events.eventNameactivity_attendString是事件名称，特别的，可以使用 anyEvent 表示任意事件
events.eventNameDisplay参加活动的触发用户数String否事件显示名
events.metricNameretention_rate_1String否

查询的指标，代表固化的分析口径。

根据指标查询时，events.eventName可设置为自定义指标

events.eventUuidK9A5NDAzString否事件UUID，用来标识事件唯一
events.filts-List否条件列表
events.filts.columnDescapp版本String否字段显示名
events.filts.columnNameapp_versionString是字段名称
events.filts.comparatornotNullString是参考：模型查询API的筛选表达式
events.filts.filterTypeSIMPLEString否过滤模式，SIMPLE：简单，COMPOUND：复合，默认SIMPLE
events.filts.ftv[]List否用于属性比较的边界字面常量
events.filts.specifiedClusterDate2021-12-28String否指定对应日期的标签历史版本
events.filts.tableTypeeventString是表类型枚举值
events.filts.timeUnitString否过滤时间单位
events.quotaString否指标属性（配合analysis，意思是哪个属性的哪个分析角度）
events.quotaDescString否指标属性显示名
events.quotaEntities-List分析事件指标对应的主体列表
events.quotaEntities.index0Integer是分析事件指标对应的主体下标
events.quotaEntities.taIdMeasure-Object查询ID体系配置
events.quotaEntities.taIdMeasure.columnDesc用户唯一IDString否字段显示名
events.quotaEntities.taIdMeasure.columnName#user_idString是字段名称
events.quotaEntities.taIdMeasure.tableTypeeventString是表类型枚举值
events.relationandString否逻辑关系，and：逻辑与，or：逻辑或
events.typenormalString是

normal：普通分析

customized：自定义公式

events.customEventlogout.PER_CAPITA_TIMESString否

公式表达式，由分析项或数值常量的加减乘除构成。分析项有两种形式: eventName.columnName.analysis 或 eventName.analysis。

公式中含分析指标的时候用固定前缀+指标名称的方式，比如：

$metric.metricName/eventName.columnName.analysis或者

$metric.metricName1/$metric.metricName2

events.customFilters[]List否公式表达式过滤项列表
events.eventName自定义指标String是指标事件名称，可以使用 anyEvent 表示任意事件
events.eventNameDisplayString否自定义指标显示名
events.eventSplitIndexes[]List否参与事件拆分的项

events.format

floatString否

展示数据的选项

float：两位小数，float3：三位小数，float4：四位小数，percent：百分比

events.quotaString否指标属性（配合analysis，意思是哪个属性的哪个分析角度）
events.quotaDescString否指标属性显示名
events.quotaEntities-List否分析事件指标对应的主体列表
events.quotaEntities.index0Integer是分析事件指标对应的主体下标
events.quotaEntities.taIdMeasure-Object是查询ID体系配置
events.quotaEntities.taIdMeasure.columnDesc邮箱String否字段显示名
events.quotaEntities.taIdMeasure.columnNameemailString是字段名称
events.quotaEntities.taIdMeasure.tableTypeuserString是表类型枚举值
events.quotaTimeRanges[]List否指标时间段信息列表
events.quotaTimeRanges.index0Integer是时间段下标
events.quotaTimeRanges.params["1"]List否时间段参数，当 events.quotaTimeRanges.type 为 TIME_RANGE 时，params 为["-3", "4"]，表示过去 3 天到未来 4 天
events.quotaTimeRanges.type

THIS_WEEK

String是

时间段类型

LAST_DAYS：过去几天，RECENT_DAYS：最近几天，THIS_WEEK：当周，THIS_MONTH：当月，TIME_RANGE：时间范围

events.relationandString否逻辑关系，and：逻辑与，or：逻辑或

events.type

customizedString是

normal：普通分析

customized：自定义公式

projectId377Integer是项目Id
useSameResultKeyfalseBoolean否

当事件名相同时，是否使用相同事件名

true：使用相同事件名

false：事件名相同时，添加前缀编号

useCachetrueBoolean是true为使用缓存
limit1000Integer否每分析对象的分组数上限，可选参数，默认为1000，最大为10000
timeoutSeconds10Integer否请求超时参数，超时则取消查询任务
zoneOffset10Integer否时区

成功响应示例​

{
    "data": {
        "result_generate_time": "2021-12-30 11:15:41", 
        "union_groups": [
            [
                "Safari", 
                "苹果"
            ], 
            [
                "Firefox", 
                "小米"
            ], 
            [
                "微信内置浏览器", 
                "苹果"
            ], 
            [
                "总体", 
                "苹果"
            ], 
            [
                "总体", 
                "小米"
            ]
        ], 
        "x": [
            "2021-12-23", 
            "2021-12-24", 
            "2021-12-25", 
            "2021-12-26", 
            "2021-12-27", 
            "2021-12-28", 
            "2021-12-29"
        ], 
        "x_compared": [
            "2021-12-16", 
            "2021-12-17", 
            "2021-12-18", 
            "2021-12-19", 
            "2021-12-20", 
            "2021-12-21", 
            "2021-12-22"
        ], 
        "y": [
            {
                "login.TOTAL_TIMES": [
                    {
                        "group_cols": [
                            "Safari", 
                            "苹果"
                        ], 
                        "group_num": 3, 
                        "values": [
                            "0", 
                            "0", 
                            "0", 
                            "0", 
                            "0", 
                            "0", 
                            "0"
                        ], 
                        "values_compared": [
                            "447", 
                            "980", 
                            "1584", 
                            "321", 
                            "285", 
                            "74", 
                            "0"
                        ]
                    }, 
                    {
                        "group_cols": [
                            "Firefox", 
                            "小米"
                        ], 
                        "group_num": 3, 
                        "values": [
                            "0", 
                            "0", 
                            "0", 
                            "0", 
                            "0", 
                            "0", 
                            "0"
                        ], 
                        "values_compared": [
                            "291", 
                            "818", 
                            "1128", 
                            "272", 
                            "219", 
                            "58", 
                            "0"
                        ]
                    }, 
                    {
                        "group_cols": [
                            "微信内置浏览器", 
                            "苹果"
                        ], 
                        "group_num": 3, 
                        "values": [
                            "0", 
                            "0", 
                            "0", 
                            "0", 
                            "0", 
                            "0", 
                            "0"
                        ], 
                        "values_compared": [
                            "231", 
                            "500", 
                            "764", 
                            "214", 
                            "155", 
                            "35", 
                            "0"
                        ]
                    }
                ]
            }, 
            {
                "activity_attend.TRIG_USER_NUM": [
                    {
                        "group_cols": [
                            "总体", 
                            "苹果"
                        ], 
                        "group_num": 2, 
                        "values": [
                            "0", 
                            "0", 
                            "0", 
                            "0", 
                            "0", 
                            "0", 
                            "0"
                        ], 
                        "values_compared": [
                            "640", 
                            "811", 
                            "1251", 
                            "1253", 
                            "720", 
                            "113", 
                            "0"
                        ]
                    }, 
                    {
                        "group_cols": [
                            "总体", 
                            "小米"
                        ], 
                        "group_num": 2, 
                        "values": [
                            "0", 
                            "0", 
                            "0", 
                            "0", 
                            "0", 
                            "0", 
                            "0"
                        ], 
                        "values_compared": [
                            "277", 
                            "439", 
                            "600", 
                            "666", 
                            "364", 
                            "59", 
                            "0"
                        ]
                    }
                ]
            }, 
            {
                "自定义指标": [
                    {
                        "group_cols": [
                            "总体", 
                            "苹果"
                        ], 
                        "group_num": 2, 
                        "values": [
                            "1", 
                            "1", 
                            "1", 
                            "1", 
                            "0", 
                            "0", 
                            "0"
                        ], 
                        "values_compared": [
                            "1.01", 
                            "1.01", 
                            "1.01", 
                            "1.01", 
                            "1", 
                            "1", 
                            "1"
                        ]
                    }, 
                    {
                        "group_cols": [
                            "总体", 
                            "小米"
                        ], 
                        "group_num": 2, 
                        "values": [
                            "1", 
                            "1", 
                            "1", 
                            "1", 
                            "0", 
                            "0", 
                            "0"
                        ], 
                        "values_compared": [
                            "1.01", 
                            "1.01", 
                            "1.01", 
                            "1.01", 
                            "1", 
                            "1", 
                            "1"
                        ]
                    }
                ]
            }
        ]
    }, 
    "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
data-Object返回结果
data.result_generate_time2021-12-29 12:00:00String查询结果生成时间
data.union_groups["苹果"]List所有分组集合
data.x["2021-12-23"]ListX轴时间
data.x_compared["2021-12-16"]ListX轴对比时间
data.y-ListY轴数据列表
data.y.{指标名称}-ListY轴指标信息列表
data.y.{指标名称}.group_cols["苹果"]ListY轴指标分组
data.y.{指标名称}.group_num3IntegerY轴指标分组数量
data.y.{指标名称}.values["0"]ListY轴指标数值
data.y.{指标名称}.values_compared["447"]ListY轴时间对比指标数值
return_code0Integer返回码
return_messagesuccessString返回信息

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-1008Integer返回码
return_message参数(token)为空String返回信息

curl 示例

curl -X POST --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{"projectId": 377,"useSameResultKey": false,"useCache": true,"limit": 1000,"eventView": {"comparedByTime": true,"comparedStartTime": "2021-12-14 00:00:00","comparedEndTime": "2021-12-20 23:59:59","comparedRecentDay": "8-14","startTime": "2021-12-21 00:00:00","endTime": "2021-12-27 23:59:59","recentDay": "1-7","relation": "and","timeParticleSize": "day","eventSplit": {"event": {"eventDesc": "登录","eventName": "login"},"groupByProp": {"columnDesc": "浏览器","columnName": "browser","propertyRange": "","tableType": "event"}},"groupBy": [{"columnDesc": "品牌","columnName": "brand","propertyRange": "","specifiedClusterDate": "2021-12-28","tableType": "event"}],"filts": [{"columnDesc": "品牌","columnName": "brand","comparator": "equal","filterType": "SIMPLE","ftv": ["苹果", "小米"],"specifiedClusterDate": "2021-12-28","tableType": "event","timeUnit": ""}],"queryFeature": {"approximateOn": true,"globalQueryOn": false}},"events": [{"analysis": "TOTAL_TIMES","analysisParams": "","eventName": "login","eventNameDisplay": "登录的总次数","eventSplitIndexes": [0],"eventUuid": "7FonAy-G","filts": [],"quota": "","relation": "and","type": "normal"}, {"analysis": "TRIG_USER_NUM","analysisParams": "","eventName": "activity_attend","eventNameDisplay": "参加活动的触发用户数","eventUuid": "K9A5NDAz","filts": [{"columnDesc": "app版本","columnName": "app_version","comparator": "notNull","filterType": "SIMPLE","ftv": [],"specifiedClusterDate": "2021-12-28","tableType": "event","timeUnit": ""}],"quota": "","quotaEntities": [{"index": 0,"taIdMeasure": {"columnDesc": "用户唯一ID","columnName": "#user_id","tableType": "event"}}],"relation": "and","type": "normal"}, {"customEvent": "logout.PER_CAPITA_TIMES","customFilters": [],"eventName": "自定义指标","eventNameDisplay": "","eventSplitIndexes": [],"eventUuid": "gxqT19xz","filts": [],"format": "float","quota": "","quotaEntities": [{"index": 0,"taIdMeasure": {"columnDesc": "邮箱","columnName": "email","tableType": "user"}}],"quotaTimeRanges": [{"index": 0,"params": ["1"],"type": "THIS_WEEK"}],"relation": "and","type": "customized"}]}' 'http://ta2:8992/open/event-analyze?token=YOUR_TOKEN'

2. 事件分析全量下载​

接口URL

/open/streaming-download/event-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
tokenxxxString是查询密钥

请求Body参数​

{
    "eventView": {
            "endTime": "2022-03-07 16:32:12",
            "filts": [{
                    "columnDesc": "等级",
                    "columnName": "level",
                    "comparator": "greater",
                    "filterType": "SIMPLE",
                    "ftv": ["1"],
                    "specifiedClusterDate": "2022-03-08",
                    "tableType": "event",
                    "timeUnit": ""
            }],
            "groupBy": [{
                    "columnDesc": "channel",
                    "columnName": "channel",
                    "propertyRange": "",
                    "specifiedClusterDate": "2022-03-08",
                    "tableType": "event"
            }],
            "recentDay": "1-7",
            "relation": "and",
            "startTime": "2022-03-01 16:32:12",
            "timeParticleSize": "day"
    },
    "events": [{
            "analysis": "TOTAL_TIMES",
            "analysisParams": "",
            "eventName": "LogOut",
            "eventNameDisplay": "LogOut的总次数",
            "eventUuid": "QgfCSkCw",
            "filts": [],
            "quota": "",
            "relation": "and",
            "type": "normal"
    }],
    "projectId": 319,
    "zoneOffset": 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
projectId0String是参数描述
eventView-Object是参数内容与事件分析查询接口一致
eventsList是参数内容与事件分析查询接口一致
zoneOffset10Integer否时区
提示

请求参数可以直接从AE系统 事件分析页面导出

响应​

同AE系统事件分析全量下载

3. 事件分析用户列表​

接口URL

/open/event-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
tokenxxxString是查询密钥

请求Body参数​

{
  "projectId": 0,
  "eventView": {
    "startTime": "2019-11-24 00:00:00",
    "endTime": "2019-11-26 00:00:00",
    "recentDay": "1-3",
    "timeParticleSize": "day",
    "groupBy": [
      {
        "columnName": "#city",
        "tableType": "event"
      }
    ]
  },
  "events": [
    {
      "analysis": "TRIG_USER_NUM",
      "eventName": "consume_item",
      "quota": "#vp@dailyTask",
      "relation": "and",
      "type": "normal",
      "filts": [
      {
          "columnName": "user_level",
          "comparator": "equal",
          "ftv": [
            "5"
          ],
          "tableType": "user"
        }
      ],
    }
  ],
  "sliceDate": "2019-11-26",
  "eventIndex": 0,
  "sliceGroupVal": [
    "北京市"
  ],
  "timeoutSeconds": 10,
  "zoneOffset": 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
projectId0String是参数描述
eventView-Object是参数内容与事件分析查询接口一致
eventsList是参数内容与事件分析查询接口一致
sliceDate"2019-11-26"String否哪个日期进行下钻
sliceGroupVal["北京市"]List是哪个分组进行下钻
eventIndex0int是第几个指标进行下钻，从0开始
timeoutSeconds10Integer否请求超时参数，超时则取消查询任务
zoneOffset10Integer否时区

成功响应示例​

{
  "data": {
    "datalist": [
      {
        "#account_id": "e78107482",
        "#distinct_id": "e145056682",
        "user_level": 5,
        "register_time": "2019-11-26 14:36:13",
        "diamond_num": 1006,
        "latest_login_time": "2019-11-26 15:45:16",
        "channel": "app store",
        "#user_id": 33474682
      },
      {
        "#account_id": "d7819213",
        "#distinct_id": "d14521393",
        "user_level": 5,
        "register_time": "2019-11-26 23:25:14",
        "diamond_num": 858,
        "first_recharge_time": "2019-11-26 23:29:56",
        "latest_login_time": "2019-11-26 23:32:48",
        "channel": "app store",
        "#user_id": 3351093
      }
    ],
    "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_code0Integer返回码
return_messagesuccessString返回信息
data-Object返回结果
data.datalist-List<Map>用户信息
data.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-1008Integer返回码
return_message参数(token)为空String返回信息

4. 事件分析用户列表下载​

接口URL

/open/streaming-download/event-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
tokenxxxString是查询密钥

请求Body参数​

{
    "eventView": {
        "comparedByTime": false,
        "comparedRecentDay": "",
        "endTime": "2022-03-07 16:32:12",
        "filts": [
            {
                "columnDesc": "等级",
                "columnName": "level",
                "comparator": "greater",
                "filterType": "SIMPLE",
                "ftv": [
                    "1"
                ],
                "specifiedClusterDate": "2022-03-08",
                "tableType": "event",
                "timeUnit": ""
            }
        ],
        "groupBy": [
            {
                "columnDesc": "channel",
                "columnName": "channel",
                "propertyRange": "",
                "specifiedClusterDate": "2022-03-08",
                "tableType": "event"
            }
        ],
        "recentDay": "1-7",
        "relation": "and",
        "startTime": "2022-03-01 16:32:12",
        "timeParticleSize": "day"
    },
    "events": [
        {
            "analysis": "TRIG_USER_NUM",
            "analysisParams": "",
            "eventName": "LogOut",
            "eventNameDisplay": "LogOut的触发用户数",
            "eventUuid": "QgfCSkCw",
            "filts": [],
            "quota": "",
            "quotaEntities": [
                {
                    "index": 0,
                    "taIdMeasure": {
                        "columnDesc": "用户唯一ID",
                        "columnName": "#user_id",
                        "tableType": "event"
                    }
                }
            ],
            "relation": "and",
            "type": "normal"
        }
    ],
    "projectId": 319,
    "sliceDate": "2022-03-01",
    "eventIndex": 0,
    "sliceGroupVal": [
        "AppStore"
    ],
    "selectedColumns": [
        "#account_id",
        "#distinct_id",
        "accountid"
    ],
    "zoneOffset": 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
projectId0String是参数描述
eventView-Object是参数内容与事件分析查询接口一致
eventsList是参数内容与事件分析查询接口一致
sliceDate"2019-11-26"String否哪个日期进行下钻
sliceGroupVal["北京市"]List是哪个分组进行下钻
eventIndex0int是第几个指标进行下钻，从0开始
selectedColumns["#account_id"]List是所需下载的列
zoneOffset10Integer否时区
提示

请求参数可以直接从AE系统 事件分析页面导出参数主体结构，然后加上sliceDate、eventIndex、eventDate、sliceGroupVal、selectedColumns这几个参数，具体参数值可以从页面接口抓取

响应​

同AE系统事件分析用户列表下载

事件分析通用枚举​

事件聚合类型枚举值​

值描述是否需要属性
TOTAL_TIMES总次数否
TRIG_USER_NUM触发用户数否
PER_CAPITA_TIMES人均次数否
SUM数值总和是
AVG数值平均值是
PER_CAPITA_NUM人均值是
MAX数值最大值是
MIN数值最小值是
DISTINCT去重数是
TRUE为真数是
FALSE为假数是
IS_NOT_EMPTY不为空数是
IS_EMPTY为空数是
ARRAY_DISTINCT列表整体去重数是
ARRAY_SET_DISTINCT元素集合去重数是
ARRAY_ITEM_DISTINCT列表元素去重数是
MEDIAN中位数是
PERCENTILE分位数是
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