http://host:port/smartbi/smartbix/api/augmentedOlap/newNlaMetaData
POST
CheckResult
属性 | 类型 | 说明 |
---|
id | Stirng | 模型 id |
fields | List | 查询成员列表(如果为空查询所有的) |

{
common: "",
dataSource: {
alias: "demo2019",
authenticationType: "STATIC",
dbCharset: "",
desc: "",
driver: "com.mysql.jdbc.Driver",
driverType: "MYSQL",
id: "DS.demo2019",
maxConnection: 300,
name: "demo2019",
transactionIsolation: -1,
url: "jdbc:mysql://172.17.11.217:3306/demo2019?useOldAliasMetadataBehavior=true&useUnicode=true&characterEncoding=GBK&useServerPrepStmts=true",
user: "admin",
validationQuery: "SELECT 1 FROM DUAL",
validationQueryMethod: 0
},
header: [
{
aggregationMode: "NULL",
dataFormat: "<�ַ���-Ĭ��ֵ>",
expressionText: "date_format( ^C_FIELD.demo2019.null.car_selling_fact.column9^ , '%Y��')",
id: "BIZATTR.demo2019.��������˽�ҳ�����.��",
name: "���",
objectAlias: "ʱ��",
objectName: "ʱ��",
timeLevel: "year",
type: "VARCHAR"
},
{
aggregationMode: "NULL",
dataFormat: "<�ַ���-Ĭ��ֵ>",
expressionText: "(CASE WHEN date_format( ^C_FIELD.demo2019.null.car_selling_fact.column9^ , '%m') IN (1,2,3) THEN '1����' WHEN date_format( ^C_FIELD.demo2019.null.car_selling_fact.column9^ , '%m') IN (4,5,6) THEN '2����' WHEN date_format( ^C_FIELD.demo2019.null.car_selling_fact.column9^ , '%m') IN (7,8,9) THEN '3����' WHEN date_format( ^C_FIELD.demo2019.null.car_selling_fact.column9^ , '%m') IN (10,11,12) THEN '4����' END)",
id: "BIZATTR.demo2019.��������˽�ҳ�����.��",
name: "����",
objectAlias: "ʱ��",
objectName: "ʱ��",
timeLevel: "quarter",
type: "VARCHAR"
},
{
aggregationMode: "NULL",
dataFormat: "<�ַ���-Ĭ��ֵ>",
expressionText: "date_format( ^C_FIELD.demo2019.null.car_selling_fact.column9^ , '%m��')",
id: "BIZATTR.demo2019.��������˽�ҳ�����.��",
name: "�·�",
objectAlias: "ʱ��",
objectName: "ʱ��",
timeLevel: "month",
type: "VARCHAR"
},
{
aggregationMode: "NULL",
dataFormat: "<����-Ĭ��ֵ>",
expressionText: "^C_FIELD.demo2019.null.car_selling_fact.column9^",
id: "BIZATTR.demo2019.��������˽�ҳ�����.column9",
name: "����",
objectAlias: "ʱ��",
objectName: "ʱ��",
timeLevel: "",
type: "DATE"
},
{
aggregationMode: "NULL",
dataFormat: "<�ַ���-Ĭ��ֵ>",
expressionText: "^C_FIELD.demo2019.null.car_selling_fact.column4^",
id: "BIZATTR.demo2019.��������˽�ҳ�����.column4",
name: "����",
objectAlias: "����",
objectName: "����",
timeLevel: "",
type: "VARCHAR"
},
{
aggregationMode: "NULL",
dataFormat: "<�ַ���-Ĭ��ֵ>",
expressionText: "( case when ^C_BIZATTR.demo2019.CSAC�������۷���.column10^ < 10000 then '0-1��̨' when ^C_BIZATTR.demo2019.CSAC�������۷���.column10^ >= 10000 and ^C_BIZATTR.demo2019.CSAC�������۷���.column10^ <20000 then '1-2��̨' when ^C_BIZATTR.demo2019.CSAC�������۷���.column10^ >= 20000 and ^C_BIZATTR.demo2019.CSAC�������۷���.column10^ <30000 then '2-3��̨' when ^C_BIZATTR.demo2019.CSAC�������۷���.column10^ >= 30000 then '3��̨����' end)",
id: "BIZATTR.demo2019.��������˽�ҳ�����.�ȶ�",
name: "�ȶ�",
objectAlias: "����",
objectName: "����",
timeLevel: "",
type: "VARCHAR"
},
{
aggregationMode: "NULL",
dataFormat: "<�ַ���-Ĭ��ֵ>",
expressionText: "^C_FIELD.demo2019.null.car_selling_fact.column7^",
id: "BIZATTR.demo2019.��������˽�ҳ�����.column7",
name: "����",
objectAlias: "����",
objectName: "����",
timeLevel: "",
type: "VARCHAR"
},
{
aggregationMode: "NULL",
dataFormat: "������",
expressionText: "( case when ^C_BIZATTR.demo2019.CSAC�������۷���.column8^ < 10 then 8 when ^C_BIZATTR.demo2019.CSAC�������۷���.column8^ >= 10 and ^C_BIZATTR.demo2019.CSAC�������۷���.column8^ <=15 then 13 when ^C_BIZATTR.demo2019.CSAC�������۷���.column8^ > 15 and ^C_BIZATTR.demo2019.CSAC�������۷���.column8^ <=20 then 18 when ^C_BIZATTR.demo2019.CSAC�������۷���.column8^ > 20 and ^C_BIZATTR.demo2019.CSAC�������۷���.column8^ <30 then 25 when ^C_BIZATTR.demo2019.CSAC�������۷���.column8^ >= 30 then 30 end)",
id: "BIZATTR.demo2019.��������˽�ҳ�����.�۸�����",
name: "Ԥ��",
objectAlias: "����",
objectName: "����",
timeLevel: "",
type: "VARCHAR"
},
{
aggregationMode: "NULL",
dataFormat: "<�ַ���-Ĭ��ֵ>",
expressionText: "^C_FIELD.demo2019.null.car_selling_fact.column2^",
id: "BIZATTR.demo2019.��������˽�ҳ�����.column2",
name: "��ϵ",
objectAlias: "��Ʒ",
objectName: "car_selling_fact",
timeLevel: "",
type: "VARCHAR"
},
{
aggregationMode: "NULL",
dataFormat: "<�ַ���-Ĭ��ֵ>",
expressionText: "^C_FIELD.demo2019.null.car_selling_fact.column5^",
id: "BIZATTR.demo2019.��������˽�ҳ�����.column5",
name: "Ʒ��",
objectAlias: "��Ʒ",
objectName: "car_selling_fact",
timeLevel: "",
type: "VARCHAR"
},
{
aggregationMode: "NULL",
dataFormat: "<�ַ���-Ĭ��ֵ>",
expressionText: "^C_FIELD.demo2019.null.car_selling_fact.column3^",
id: "BIZATTR.demo2019.��������˽�ҳ�����.column3",
name: "����",
objectAlias: "��Ʒ",
objectName: "car_selling_fact",
timeLevel: "",
type: "VARCHAR"
},
{
aggregationMode: "NULL",
dataFormat: "<�ַ���-Ĭ��ֵ>",
expressionText: "^C_FIELD.demo2019.null.car_selling_fact.column6^",
id: "BIZATTR.demo2019.��������˽�ҳ�����.column6",
name: "����",
objectAlias: "��Ʒ",
objectName: "car_selling_fact",
timeLevel: "",
type: "VARCHAR"
},
{
aggregationMode: "NULL",
dataFormat: "<����-Ĭ��ֵ>",
expressionText: "^C_FIELD.demo2019.null.car_selling_fact.column12^",
id: "BIZATTR.demo2019.��������˽�ҳ�����.column12",
name: "ʡ��",
objectAlias: "����",
objectName: "��ҵ",
timeLevel: "",
type: "VARCHAR"
},
{
aggregationMode: "NULL",
dataFormat: "<����-Ĭ��ֵ>",
expressionText: "^C_FIELD.demo2019.null.car_selling_fact.column13^",
id: "BIZATTR.demo2019.��������˽�ҳ�����.column13",
name: "����",
objectAlias: "����",
objectName: "��ҵ",
timeLevel: "",
type: "VARCHAR"
},
{
aggregationMode: "NULL",
dataFormat: "<����-Ĭ��ֵ>",
expressionText: "^C_FIELD.demo2019.null.car_selling_fact.column10^",
id: "BIZATTR.demo2019.��������˽�ҳ�����.column10",
name: "������",
objectAlias: "ָ��",
objectName: "ָ��",
timeLevel: "",
type: "INTEGER"
},
{
aggregationMode: "AVG",
dataFormat: "<������-Ĭ��ֵ>",
expressionText: "^C_FIELD.demo2019.null.car_selling_fact.column8^",
id: "BIZATTR.demo2019.��������˽�ҳ�����.column8",
name: "������",
objectAlias: "ָ��",
objectName: "ָ��",
timeLevel: "",
type: "DOUBLE"
},
{
aggregationMode: "NULL",
dataFormat: "<������-Ĭ��ֵ>",
expressionText: "^C_FIELD.demo2019.null.car_selling_fact.column11^",
id: "BIZATTR.demo2019.��������˽�ҳ�����.column11",
name: "���۹�ģ",
objectAlias: "ָ��",
objectName: "ָ��",
timeLevel: "",
type: "DOUBLE"
}
],
id: "THEME.demo2019.��������˽�ҳ�����",
name: "��������˽�ҳ�����",
rows: [
{
id: "BIZATTR.demo2019.��������˽�ҳ�����.��",
members: [
"2015��",
"2016��",
"2017��",
"2018��",
"2019��",
"2020��"
]
},
{
id: "BIZATTR.demo2019.��������˽�ҳ�����.��",
members: [
"1����",
"2����",
"3����",
"4����"
]
},
{
id: "BIZATTR.demo2019.��������˽�ҳ�����.��",
members: [
"01��",
"02��",
"03��",
"04��",
"05��",
"06��",
"07��",
"08��",
"09��",
"10��",
"11��",
"12��"
]
},
{
id: "BIZATTR.demo2019.��������˽�ҳ�����.column4",
members: [
"�γ�",
"SUV",
"MPV"
]
},
{
id: "BIZATTR.demo2019.��������˽�ҳ�����.�ȶ�",
members: [
"0-1��̨",
"1-2��̨",
"3��̨����",
"2-3��̨"
]
},
{
id: "BIZATTR.demo2019.��������˽�ҳ�����.column7",
members: [
"����",
"����",
"��",
"��",
"���"
]
},
{
id: "BIZATTR.demo2019.��������˽�ҳ�����.�۸�����",
members: [
"30������",
"13������",
"18������",
"25������",
"8������"
]
},
{
id: "BIZATTR.demo2019.��������˽�ҳ�����.column2",
members: [
"��ϵ",
"��ϵ",
"��ϵ",
"����",
"��ϵ",
"��ϵ"
]
},
{
id: "BIZATTR.demo2019.��������˽�ҳ�����.column5",
members: [
"��������",
"ѩ����",
"����",
"����",
"��������",
"���Դ�",
"���ǵ�",
"����",
"���",
"����",
"����",
"�ִ�",
"����",
"����",
"WEY",
"����",
"������",
"�µ�",
"����",
"����",
"����",
"����",
"����",
"ѩ����",
"����",
"��������Դ",
"����",
"��;",
"�ղ�",
"˹�´�",
"���",
"��"
]
},
{
id: "BIZATTR.demo2019.��������˽�ҳ�����.column3",
members: [
"����ͨ��",
"��������",
"��������",
"���籾��",
"��������",
"һ�����Դ�",
"�������Դ�",
"���ǵ�����",
"��������Դ",
"�������ó�",
"�Ϻ�����",
"�����ִ�",
"��������",
"��������",
"һ������",
"һ������",
"��������",
"��������",
"��������",
"һ���µ�",
"����ͨ������",
"��������",
"��������",
"��������",
"��������",
"��������Դ",
"�����ղ�"
]
},
{
id: "BIZATTR.demo2019.��������˽�ҳ�����.column6",
members: [
"ATS-L",
"C3-XR",
"C4����",
"C-HR",
"CR-V",
"CS15",
"CS35",
"CS55",
"CS75",
"CX-4",
"CX-5",
"CX70",
"e5",
"ECϵ��",
"EUϵ��",
"EXϵ��",
"F3",
"GL6",
"GM6",
"GM8",
"GS3",
"GS4",
"GS5",
"GS8",
"i5",
"i6",
"INSPIRE",
"ix25",
"ix35",
"K2",
"K3",
"K4",
"K5",
"KX?CROSS",
"KX3",
"KX3����",
"KX5",
"POLO",
"RAV4",
"RX3",
"RX5",
"S7",
"T-Cross",
"T-ROC̽��",
"UR-V",
"VV5",
"VV6",
"VV7",
"XR-V",
"XT4",
"XT5",
"XTS",
"YARiS?L?����",
"YARiS?L?����",
"ZS",
"������",
"������",
"������5",
"������GX",
"������",
"������",
"������",
"��������",
"�µ���",
"�µ�A3",
"�µ�A4L",
"�µ�A6L",
"�µ�Q2L",
"�µ�Q3",
"�µ�Q5",
"����310",
"����360",
"����510",
"����530",
"����560",
"����730",
"����RC-6",
"����",
"����1ϵ",
"����3ϵ",
"����5ϵ",
"����X1",
"����X3",
"����A��",
"����C��",
"����E��",
"����GLA",
"����GLB",
"����GLC",
"����GLK",
"����2008",
"����3008",
"����301",
"����308",
"����4008",
"����408",
"����",
"��Խ",
"����",
"����",
"����GE",
"��Խ",
"����GA4",
"����",
"�ۺ�GL",
"�ۺ�GS",
"�ۺ�����Դ",
"�ɶ�",
"��˹��",
"�淶",
"����˹",
"���˹",
"�߶���",
"����",
"�ڵ�",
"��������ԴAion?S",
"����F5",
"����F7",
"����H1",
"����H2",
"����H4",
"����H6",
"����H7",
"����M6",
"������",
"�Ӱ",
"�ʹ�",
"�μ�",
"�μ�����Դ",
"����",
"�ܵ�",
"�ݴ�",
"�ݴ�VA3",
"�ݴ�VS5",
"��;X70",
"��ţ��",
"����",
"����",
"��Խ",
"������",
"��������CT5",
"������",
"��Խ",
"�µ��ǿ�",
"����",
"��³��",
"��³��",
"������",
"����",
"�ʶ�",
"����",
"����",
"����",
"���",
"����",
"�춯",
"���01",
"���02",
"���03",
"����",
"����",
"�ɵ�ŷ",
"����6",
"����HS",
"��ͼ",
"����",
"������",
"������",
"�濥",
"����eQ",
"���",
"������Դ",
"����360",
"���",
"��3",
"��5",
"��5X",
"��7",
"��8",
"����",
"��ŷ",
"ɣ����",
"ʤ��",
"˼��",
"��",
"��MAX",
"��pro",
"������Դ",
"����",
"����",
"������",
"̽����",
"̽��",
"��",
"������Դ",
"����",
"����C5AIRCROSS",
";��",
";��",
";��",
";ʤ",
";��",
"����",
"����FS",
"����",
"�",
"����",
"�п�",
"���",
"�±���RS-3",
"�µۺ�",
"����",
"�Ÿ�",
"������",
"����",
"����",
"����IZOA",
"�ݶ�",
"�ݶ�DT",
"����",
"����",
"Ӣ��",
"Ԫ",
"Ԫ����Դ",
"Զ��S1",
"Զ��SUV",
"Զ��X1",
"Զ��X3",
"Զ��X6",
"Զ���γ�",
"�ö�",
"����",
"����",
"����ŷ��X7",
"����"
]
},
{
id: "BIZATTR.demo2019.��������˽�ҳ�����.column12",
members: [
"�Ϻ�",
"����",
"�㶫",
"����",
"����",
"����",
"����",
"���",
"�ӱ�",
"����",
"����",
"����",
"�㽭"
]
},
{
id: "BIZATTR.demo2019.��������˽�ҳ�����.column13",
members: [
"�Ϻ�",
"�人",
"����",
"����",
"����",
"�Ͼ�",
"����",
"����",
"�γ�",
"���",
"����",
"�ߺ�",
"����",
"����",
"����"
]
}
],
title: "��������˽�ҳ�����",
types: [
"text",
"text",
"text",
"real",
"text",
"text",
"text",
"text",
"text",
"text",
"text",
"text",
"text",
"text",
"real",
"real",
"real"
]
}
http://host:port/smartbi/smartbix/api/dataModel/{pid}
POST
CheckResult
属性 | 类型 | 说明 |
---|
id | Stirng | 模型 id |
errorCode | String | 错误码,成功时错误码、错误信息同时为空 |
errorMessage | String | 错误信息,成功时错误码、错误信息同时为空 |

{
"name": "SimpleModelDemo",
"alias": "模型简单示例",
"views": [{
"name": "orders",
"alias": "订单表",
"type": "BASIC_TABLE",
"define": {
"tableId": "TAB.northwind.null.orders"
}
}],
"dimensions":[{
"name": "ShipRegion",
"alias": "区域",
"viewName": "orders",
"fieldName": "ShipRegion",
"valueType": "STRING"
}],
"measures": [{
"name": "Freight",
"alias": "运费",
"viewName": "orders",
"aggregator": "sum",
"fieldName": "Freight"
}]
}
{
"name": "SimpleModelDemo2",
"alias": "模型简单示例2",
"views": [{
"name": "orders",
"alias": "订单表",
"type": "SQL_VIEW",
"define": {
"dataSourceId": "DS.notthwind",
"sql": " select * from orders"
}
}]
}
注意:需要把注释去掉
{
"name": "ModelDemo",
"alias": "模型示例",
// 私有查询列表
"views": [{
"name": "orderdetails",
"alias": "订单明细表",
"type": "BASIC_TABLE",
"define": {
"tableId": "TAB.northwind.null.orderdetails"
}
/*,
"storeType": "EXTRACT",
"extractSetting": {
"type": "FULL"
}*/
},{
"name": "orders",
"alias": "订单表",
"type": "BASIC_TABLE",
"define": {
"tableId": "TAB.northwind.null.orders"
}
/*,
"storeType": "EXTRACT",
"extractSetting": {
"type": "FULL"
}*/
}],
// 层次结构列表
"hierarchies": [{
"name":"hierArea",
"alias": "地区",
"levels": [
{
"viewName": "orders",
"name": "ShipRegionLevel",
"alias": "区域",
"fieldName": "ShipRegion",
"levelType": "LEVEL"
},
{
"viewName": "orders",
"name": "ShipProvinceLevel",
"alias": "省份",
"fieldName": "ShipProvince",
"levelType": "LEVEL"
}
]
}],
// 日期层次结构列表
"dateHierarchies": [{
"name":"hierDate",
"alias": "时间维度",
"levels": [
{
"viewName": "orders",
"name": "orderYear",
"alias": "年",
"fieldName": "OrderDate",
"levelType": "LEVEL_TIME_YEAR"
},
{
"viewName": "orders",
"name": "orderQuarter",
"alias": "季",
"fieldName": "OrderDate",
"levelType": "LEVEL_TIME_QUARTER"
},
{
"viewName": "orders",
"name": "orderMonth",
"alias": "月",
"fieldName": "OrderDate",
"levelType": "LEVEL_TIME_MONTH"
},
{
"viewName": "orders",
"name": "orderDay",
"alias": "日",
"fieldName": "OrderDate",
"levelType": "LEVEL_TIME_DAY"
}
]
}],
// 维度结构列表
"dimensions":[{
"name": "ShipRegion",
"alias": "区域",
"viewName": "orders",
"fieldName": "ShipRegion",
"valueType": "STRING"
}],
// 表关系图
"relationGraph": {
"relations": [{
"srcViewName": "orderdetails",
"destViewName": "orders",
"linkType": "LEFTJOIN",
"fieldRelations": [{
"srcFieldName": "OrderID",
"destFieldName": "OrderID"
}]
}]
},
// 度量列表
"measures": [{
"name": "Quantity",
"alias": "Quantity",
"viewName": "orderdetails",
"aggregator": "sum",
"fieldName": "Quantity"
},{
"name": "UnitPrice",
"alias": "UnitPrice",
"viewName": "orderdetails",
"aggregator": "sum",
"fieldName": "UnitPrice"
}],
// 计算度量列表
"calcMeasures": [
{
"name":"calc1",
"alias":"数量加1",
"expression": "[Measures].[Quantity] + 1"
}
],
// 计算成员列表
"calcMembers": [
{
"name":"north",
"alias":"北方",
"expression": "[hierArea].[东北] + [hierArea].[华北]",
"hierName": "[ShipRegion]"
}
]
}
pid:父节点 id;
post 内容的结构如下,详细说明如下:

属性 | 类型 | 说明 |
---|
id | String | 模型 id,更新时才需要填 |
name | String | 模型名称 |
alias | String | 模型别名 |
views | LIst | 私有查询列表 |
measures | LIst | 度量列表 |
relationGraph | DataModelRelationGraphVO | 表关系图 |
hierarchies | List | 层次结构列表 |
dateHierarchies | List | 基于日期字段生成时间层次列表 |
calcMeasures | LIst | 计算度量列表 |
calcMembers | LIst | 计算成员列表 |
namedSets | LIst | 命名集列表 |
属性 | 类型 | 说明 |
---|
name | String | 名称 |
alias | String | 别名 |
type | ViewType | 类型:BASIC_TABLE,代表基础表 。以下暂不支持:SQL_VIEW、PROC_VIEW、JS_VIEW、JAVA_VIEW、ETL_VIEW、EXCEL_VIEW、COMBINEDQUERY_VIEW、TIME_TABLE |
define | ObjectNode | 定义,有对应具体的 VO,如基础表为BasicTableViewDefineVO |
storeType | StoreType | 存储方式:DIRECT、EXTRACT,分别代表直连、抽取 |
extractSetting | ExtractSettingVO | 抽取设置 |
属性 | 类型 | 说明 |
---|
type | ExtractType | 抽取方式:FULL、REALTIME,分别代表全量、按次抽取 |
属性 | 类型 | 说明 |
---|
tableId | String | 基础表 Id |
属性 | 类型 | 说明 |
---|
dataSourceId | String | 数据源 Id |
sql | String | sql 语句 |
属性 | 类型 | 说明 |
---|
name | String | 名称 |
alias | String | 别名 |
aggregator | String | 聚合方式:SUM、COUNT、 AVG、DISTINCT_COUNT、MAX、MIN |
fieldName | String | 私有查询字段名 |
viewName | String | 私有查询名 |
属性 | 类型 | 说明 |
---|
relations: | List | 表关系列表 |
属性 | 类型 | 说明 |
---|
srcViewName | String | 名称 |
destViewName | String | 别名 |
linkType | TableLinkType | 连接方式:LEFTJOIN、RIGHTJOIN、INNERJOIN、FULLJOIN,分别代表 1 对多、多对 1、1 对 1(内连接)、1 对 1(外连接) |
fieldRelations | List | 私有查询字段名 |
属性 | 类型 | 说明 |
---|
srcFieldName | String | 源字段名 |
destFieldName | String | 目标字段名 |
属性 | 类型 | 说明 |
---|
name | String | 名称 |
alias | String | 别名 |
levels | List | 层次列表 |
属性 | 类型 | 说明 |
---|
name | String | 名称 |
alias | String | 别名 |
fieldName | String | 字段名 |
viewName | String | 私有查询名 |
levelType | FieldTreeNodeType | 层次类型:LEVEL、LEVEL_TIME_YEAR、LEVEL_TIME_QUARTER、LEVEL_TIME_MONTH、LEVEL_TIME_WEEK、LEVEL_TIME_DAY、LEVEL_GEO,分别代表普通、年、季、月、周、日、地理层次 |
属性 | 类型 | 说明 |
---|
name | String | 名称 |
alias | String | 别名 |
levels | List | 层次列表 |
属性 | 类型 | 说明 |
---|
name | String | 名称 |
alias | String | 别名 |
expression | String | 表达式 |
dataFormat | String | 数据格式名,可以在公共设置-数据格式中查询需要的名 |
属性 | 类型 | 说明 |
---|
name | String | 名称 |
alias | String | 别名 |
expression | String | 表达式 |
hierName | String | 层次结构名,如:[ShipRegion] |
parentName | String | 父成员名:[ShipRegion].[All ShipRegions] |
属性 | 类型 | 说明 |
---|
name | String | 名称 |
alias | String | 别名 |
expression | String | 表达式 |
hierName | String | 层次结构名,如:[ShipRegion] |
属性 | 类型 | 说明 |
---|
viewName | String | 私有查询名 |
fieldName | String | 字段名 |
visible | String | 可见性 |
dataFormat | String | 数据格式名,可以在公共设置-数据格式中查询需要的名 |
maskingRule | String | 脱敏规则 |
valueType | ValueType | 数据类型:INTEGER、DOUBLE、LONG、STRING 等 |
http://host:port/smartbi/smartbix/api/dataModel?_method=PUT
POST
数据模型 CheckResult

{
"id": "I8a8a9fb601832a882a883ce901832afa40850018",
"name": "ModelDemo",
"alias": "模型示例",
"views": [{
"name": "orderdetails",
"alias": "订单明细表",
"type": "BASIC_TABLE",
"define": {
"tableId": "TAB.northwind.null.orderdetails"
}
},{
"name": "orders",
"alias": "订单表",
"type": "BASIC_TABLE",
"define": {
"tableId": "TAB.northwind.null.orders"
}
}],
"hierarchies": [{
"name":"hierArea",
"alias": "地区",
"levels": [
{
"viewName": "orders",
"name": "ShipRegionLevel",
"alias": "区域",
"fieldName": "ShipRegion",
"levelType": "LEVEL"
},
{
"viewName": "orders",
"name": "ShipProvinceLevel",
"alias": "省份",
"fieldName": "ShipProvince",
"levelType": "LEVEL"
},
{
"viewName": "orders",
"name": "ShipCityLevel",
"alias": "城市",
"fieldName": "ShipCity",
"levelType": "LEVEL"
}
]
}],
"dateHierarchies": [{
"name":"hierDate",
"alias": "时间维度",
"levels": [
{
"viewName": "orders",
"name": "orderYear",
"alias": "年",
"fieldName": "OrderDate",
"levelType": "LEVEL_TIME_YEAR"
},
{
"viewName": "orders",
"name": "orderQuarter",
"alias": "季",
"fieldName": "OrderDate",
"levelType": "LEVEL_TIME_QUARTER"
},
{
"viewName": "orders",
"name": "orderMonth",
"alias": "月",
"fieldName": "OrderDate",
"levelType": "LEVEL_TIME_MONTH"
},
{
"viewName": "orders",
"name": "orderWeek",
"alias": "周",
"fieldName": "OrderDate",
"levelType": "LEVEL_TIME_WEEK"
},
{
"viewName": "orders",
"name": "orderDay",
"alias": "日",
"fieldName": "OrderDate",
"levelType": "LEVEL_TIME_DAY"
}
]
}],
"dimensions":[{
"name": "ShipRegion",
"alias": "区域",
"viewName": "orders",
"fieldName": "ShipRegion",
"valueType": "STRING"
}],
"relationGraph": {
"relations": [{
"srcViewName": "orderdetails",
"destViewName": "orders",
"linkType": "LEFTJOIN",
"fieldRelations": [{
"srcFieldName": "OrderID",
"destFieldName": "OrderID"
}]
}]
},
"measures": [{
"name": "Quantity",
"alias": "Quantity",
"viewName": "orderdetails",
"aggregator": "sum",
"fieldName": "Quantity"
},{
"name": "UnitPrice",
"alias": "UnitPrice",
"viewName": "orderdetails",
"aggregator": "sum",
"fieldName": "UnitPrice"
}],
"calcMeasures": [
{
"name":"calc1",
"alias":"数量加1",
"expression": "[Measures].[Quantity] + 1"
}
],
"calcMembers": [
{
"name":"north",
"alias":"北方",
"expression": "[hierArea].[东北] + [hierArea].[华北]",
"hierName": "[ShipRegion]"
}
]
}
同创建
http://host:port/smartbi/smartbix/api/augmentedQuery/data/
POST
DataIterator 数据结果
属性 | 类型 | 说明 |
---|
columnLabels | List | 数据迭代器对应的列表标题列表占位 |
iterator | Iterator<List
>
| 结果(二维数组) |
totalRowCount | Int | 总行数,目前不支持,返回-1 |
CellData 单元格数据
属性 | 类型 | 说明 |
---|
type | ValueType | 数据类型 |
displayValue | String | 显示值 |
value | Object | 真实值 |
普通二维查询,维度放行区、度量放列区
{
"dataSetId": "I8a8aa3d4018220a120a154fd018220c691c50013",
"rows": [
"product_name"
],
"columns": [
"store_sales_m"
]
}

交叉表查询的情况,度量放行区
{
"dataSetId": "I8a8aa3d4018220a120a154fd018220c691c50013",
"rows": [
"product_name","store_sales_m"
]
}
{
"dataSetId": "I8a8aa3d4018220a120a154fd018220c691c50013",
"rows": [
"product_name"
],
"columns": [
"store_sales_m"
],
"filters": [
{
"name": "product_name",
"operation":"EQUALS",
"values":["型号1"]
}
]
}


{
"dataSetId": "I8a8aa3d4018220a120a154fd018220c691c50013",
"rows": ["sales_region2", "customGroup"],
"columns": ["store_sales_m", "custom1"],
"custom": {
"items": [
{
"name": "custom1",
"expression": "[Measures].[store_sales_m] + 1",
"valueType": "BIGDECIMAL",
"type": "CALC_MEASURE"
}, {
"name": "customGroup",
"expression": "{\"calcField\":{\"type\":\"CALC_GROUP\",\"define\":{\"expression\":{\"groupType\":\"ENUM\",\"valueList\":[{\"enumData\":[[\"中型卖场\",\"中型卖场\"],[\"大型超市\",\"大型超市\"],[\"小型卖场\",\"小型卖场\"]],\"id\":1,\"name\":\"卖场\"}],\"otherName\":\"其他\",\"mergeIntoOneItem\":\"merge\",\"valueType\":\"STRING\"},\"ref\":\"AUGMENTED_DATASET_FIELD.I8a8aa3d4018220a120a154fd018220c691c50013.Field-FoodmartCN_datamodel-null-null-store-store_type\"}}}",
"valueType": "STRING",
"type": "CALC_GROUP"
}
]
}
}

属性 | 类型 | 说明 |
---|
dataSetId | Stirng | 模型 id |
rows | List | 行区字段名称列表 |
columns | List | 列区字段名称列表 |
nameLabelMap | Map<String, String> | 汇总别名设置 |
filters | List | 筛选区列表 |
quickCalculations | List | 快速计算定义列表 |
custom | DataModelCustomVO | 多维元素私有定义 |
orderBys | List | 排序设置列表 |
subtotals | List | 分类汇总设置列表 |
tooltips | List | 提示字段设置列表 |
paramValues | Map<String, Object> | 参数值映射:参数名 <-> 参数值 |
rowPageNum | int | 第几页(行区),默认是 1 |
rowsPerPage | int | 每页几行(行区),默认是 20 |
queryType | QueryType | 查询方式:LIST_QUERY、MONDRIAN_QUERY,分别代表:清单查询、多维查询;清单查询时只能查维度、层次;默认是多维查询 |
属性 | 类型 | 说明 |
---|
name | Stirng | 字段名称 |
operation | FilterOperationType | 运算符类型 |
values | List | 过滤器的值 |
属性 | 类型 | 说明 |
---|
name | Stirng | 快速计算命名 |
fieldName | String | 需要快速计算的字段名称 |
calcType | CalculationType | 计算类型 |
timeType | FieldTreeNodeType | 时间层次类型:LEVEL_TIME_YEAR、LEVEL_TIME_QUARTER、LEVEL_TIME_MONTH、LEVEL_TIME_DAY |
timeHierId | String | 时间层次 Id (可不填,当行、列区有多个不同日期层次的时候才填) |
属性 | 类型 | 说明 |
---|
name | 名称 | 模型私有定义列表 |
expression | String | mdx 表达式 |
type | FieldTreeNodeType | CALC_MEASURE、CALC_MEMBER、NAMEDSET,分别代表:计算度量、计算成员、命名集 |
dataFormat | String | 数据格式 |
valueType | ValueType | 数据类型 |
属性 | 类型 | 说明 |
---|
fieldName | Stirng | 字段名称 |
type | OrderByType | 排序类型:ASC、DESC、BASC、BDESC、NONE,分别代表:升序、降序、全局升序、全局降序 |
orderPriority | int | 优先级 |
属性 | 类型 | 说明 |
---|
name | Stirng | 字段名称 |
subtotal | Subtotal | 字段是否汇总,SHOW、SHOW 分别代表:显示、隐藏 |
支持 SDK 通过 rmi 的方式调用
import smartbi.net.sf.json.JSONObject;
import smartbi.sdk.ClientConnector;
import smartbi.sdk.InvokeResult;
public class DataModelDemo {
public static void main(String[] args) {
// 用户名
String user = "admin";
// 密码
String password = "admin";
// Smartbi链接http://10.10.35.85:18080/smartbi
String smartbiURL = "http://localhost:8080/smartbi";
// 创建Smartbi链接对象
ClientConnector conn = new ClientConnector(smartbiURL);
// 建立此连接时,就对smartbi进行了登录
boolean ret = conn.open(user, password);
String pid = "I8a8a9fb601831840184096ba01831acd3de00554"; // 父节点id
String str = "同上面post的内容";
JSONObject obj = JSONObject.fromString(str);
InvokeResult res = conn.remoteInvoke("AugmentedDataSetForVModule", "create", new Object[]{pid, obj});
// InvokeResult res = conn.remoteInvoke("AugmentedDataSetForVModule", "update", new Object[]{obj});
conn.close();
}
}
【本文结束】