SYSTEM$CREATE_SEMANTIC_VIEW_FROM_YAML

基于 ​​YAML 格式​​的语义模型规范 创建 语义视图,或验证该规范能否用于创建语义视图。

存储过程使用 YAML 规范中的名称作为语义视图的名称。

如果已经存在同名的语义视图,则存储过程会尝试替换该语义视图并复制该语义视图中的授权。这与运行 CREATE OR REPLACE SEMANTIC VIEW ... COPY GRANTS 的效果相同。

另请参阅:

SYSTEM$READ_YAML_FROM_SEMANTIC_VIEWCREATE SEMANTIC VIEW

语法

SYSTEM$CREATE_SEMANTIC_VIEW_FROM_YAML(
  '<fully_qualified_schema_name>' ,
  '<yaml_specification>' ,
  [ <verify_only> ]
)
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实参

必填:

'fully_qualified_schema_name'

要在其中创建语义视图的架构的 完全限定名称

必须使用数据库名称(例如 my_db.my_schema)限定架构名称。否则,会发生错误。

'yaml_specification'

YAML 格式的语义模型规范

若规范中包含引号、反斜杠或换行符,可为该实参使用 ​​美元引号字符串常量。

可选:

verify_only

如果为 ​​TRUE​,则验证是否可使用 ​​:samp:`'{yaml_specification}'`​​ 指定的语义模型创建语义视图。

在尝试创建语义视图之前,您可以指定此值来验证是否可以从模型中创建语义视图。

默认:FALSE

返回

返回一个 ​​VARCHAR​类型的值,其中包含创建语义视图或验证该视图能否被创建的操作状态。

如果存储过程未能成功创建语义视图或验证该视图能否被创建,则会抛出异常。

访问控制要求

用于执行此操作的 角色 必须至少具有以下 权限

权限

对象

备注

CREATE SEMANTIC VIEW

架构

创建新的语义视图时需要。

SELECT

表、视图

语义视图定义中使用的任何表和/或视图都需要。

OWNERSHIP

同名的现有语义视图。

如果已经存在同名的语义视图,则存储过程会尝试替换该语义视图。要替换现有的语义视图,必须使用已被授予 OWNERSHIP 权限的角色。

OWNERSHIP is a special privilege on an object that is automatically granted to the role that created the object, but can also be transferred using the GRANT OWNERSHIP command to a different role by the owning role (or any role with the MANAGE GRANTS privilege).

要对架构中的任何对象执行操作,需要对父数据库和架构的 USAGE 权限。请注意,如果某个角色获授某个架构的任意权限,该角色便能够解析该架构。例如,若某角色被授予 CREATE 权限,则可以在该架构上创建对象,而无需 同时 被授予该架构的 USAGE 权限。

有关创建具有指定权限集的自定义角色的说明,请参阅 创建自定义角色

有关对 安全对象 执行 SQL 操作的相应角色和权限授予的一般信息,请参阅 访问控制概述

使用说明

如果数据库或模式的名称是​​ :ref:`双引号标识符 <label-delimited_identifier>`​​(例如名称中包含空格),则必须在名称外保留双引号。例如:

CALL SYSTEM$CREATE_SEMANTIC_VIEW_FROM_YAML(
  '"my database"."my schema"',
  ...
);
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示例

以下示例验证了您是否可以在 YAML 中使用给定的语义模型规范,在数据库 my_db 和架构 tpch_analysis 中创建名为 my_schema 的语义视图:

CALL SYSTEM$CREATE_SEMANTIC_VIEW_FROM_YAML(
  'my_db.my_schema',
  $$
  name: TPCH_REV_ANALYSIS
  description: Semantic view for revenue analysis
  tables:
    - name: CUSTOMERS
      description: Main table for customer data
      base_table:
        database: SNOWFLAKE_SAMPLE_DATA
        schema: TPCH_SF1
        table: CUSTOMER
      primary_key:
        columns:
          - C_CUSTKEY
      dimensions:
        - name: CUSTOMER_NAME
          synonyms:
            - customer name
          description: Name of the customer
          expr: customers.c_name
          data_type: VARCHAR(25)
        - name: C_CUSTKEY
          expr: C_CUSTKEY
          data_type: VARCHAR(134217728)
      metrics:
        - name: CUSTOMER_COUNT
          description: Count of number of customers
          expr: COUNT(c_custkey)
    - name: LINE_ITEMS
      description: Line items in orders
      base_table:
        database: SNOWFLAKE_SAMPLE_DATA
        schema: TPCH_SF1
        table: LINEITEM
      primary_key:
        columns:
          - L_ORDERKEY
          - L_LINENUMBER
      dimensions:
        - name: L_ORDERKEY
          expr: L_ORDERKEY
          data_type: VARCHAR(134217728)
        - name: L_LINENUMBER
          expr: L_LINENUMBER
          data_type: VARCHAR(134217728)
      facts:
        - name: DISCOUNTED_PRICE
          description: Extended price after discount
          expr: l_extendedprice * (1 - l_discount)
          data_type: "NUMBER(25,4)"
        - name: LINE_ITEM_ID
          expr: "CONCAT(l_orderkey, '-', l_linenumber)"
          data_type: VARCHAR(134217728)
    - name: ORDERS
      synonyms:
        - sales orders
      description: All orders table for the sales domain
      base_table:
        database: SNOWFLAKE_SAMPLE_DATA
        schema: TPCH_SF1
        table: ORDERS
      primary_key:
        columns:
          - O_ORDERKEY
      dimensions:
        - name: ORDER_DATE
          description: Date when the order was placed
          expr: o_orderdate
          data_type: DATE
        - name: ORDER_YEAR
          description: Year when the order was placed
          expr: YEAR(o_orderdate)
          data_type: "NUMBER(4,0)"
        - name: O_ORDERKEY
          expr: O_ORDERKEY
          data_type: VARCHAR(134217728)
        - name: O_CUSTKEY
          expr: O_CUSTKEY
          data_type: VARCHAR(134217728)
      facts:
        - name: COUNT_LINE_ITEMS
          expr: COUNT(line_items.line_item_id)
          data_type: "NUMBER(18,0)"
      metrics:
        - name: AVERAGE_LINE_ITEMS_PER_ORDER
          description: Average number of line items per order
          expr: AVG(orders.count_line_items)
        - name: ORDER_AVERAGE_VALUE
          description: Average order value across all orders
          expr: AVG(orders.o_totalprice)
  relationships:
    - name: LINE_ITEM_TO_ORDERS
      left_table: LINE_ITEMS
      right_table: ORDERS
      relationship_columns:
        - left_column: L_ORDERKEY
          right_column: O_ORDERKEY
      relationship_type: many_to_one
    - name: ORDERS_TO_CUSTOMERS
      left_table: ORDERS
      right_table: CUSTOMERS
      relationship_columns:
        - left_column: O_CUSTKEY
          right_column: C_CUSTKEY
      relationship_type: many_to_one
  $$,
TRUE);
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如果规范有效,则存储过程返回以下消息:

+----------------------------------------------------------------------------------+
| SYSTEM$CREATE_SEMANTIC_VIEW_FROM_YAML                                            |
|----------------------------------------------------------------------------------|
| YAML file is valid for creating a semantic view. No object has been created yet. |
+----------------------------------------------------------------------------------+

如果 YAML 语法无效,则存储过程会引发异常。例如,如果缺少冒号:

relationships
  - name: LINE_ITEM_TO_ORDERS
Copy

存储过程会抛出异常,表示 YAML 语法无效:

392400 (22023): Uncaught exception of type 'EXPRESSION_ERROR' on line 3 at position 23 :
  Invalid semantic model YAML: while scanning a simple key
   in 'reader', line 90, column 3:
        relationships
        ^
  could not find expected ':'
   in 'reader', line 91, column 11:
          - name: LINE_ITEM_TO_ORDERS
                ^

如果规范引用的物理表不存在,则存储过程会引发异常:

base_table:
  database: SNOWFLAKE_SAMPLE_DATA
  schema: TPCH_SF1
  table: NONEXISTENT
Copy
002003 (42S02): Uncaught exception of type 'EXPRESSION_ERROR' on line 3 at position 23 :
  SQL compilation error:
  Table 'SNOWFLAKE_SAMPLE_DATA.TPCH_SF1.NONEXISTENT' does not exist or not authorized.

同样,如果规范引用的主键列不存在,则存储过程会引发异常:

primary_key:
  columns:
    - NONEXISTENT
Copy
000904 (42000): Uncaught exception of type 'EXPRESSION_ERROR' on line 3 at position 23 :
  SQL compilation error: error line 0 at position -1
  invalid identifier 'NONEXISTENT'

以下示例在数据库 my_db 和架构 tpch_analysis 中创建了一个名为 my_schema 的语义视图:

CALL SYSTEM$CREATE_SEMANTIC_VIEW_FROM_YAML(
  'my_db.my_schema',
  $$
  name: TPCH_REV_ANALYSIS
  description: Semantic view for revenue analysis
  tables:
    - name: CUSTOMERS
      description: Main table for customer data
      base_table:
        database: SNOWFLAKE_SAMPLE_DATA
        schema: TPCH_SF1
        table: CUSTOMER
      primary_key:
        columns:
          - C_CUSTKEY
      dimensions:
        - name: CUSTOMER_NAME
          synonyms:
            - customer name
          description: Name of the customer
          expr: customers.c_name
          data_type: VARCHAR(25)
        - name: C_CUSTKEY
          expr: C_CUSTKEY
          data_type: VARCHAR(134217728)
      metrics:
        - name: CUSTOMER_COUNT
          description: Count of number of customers
          expr: COUNT(c_custkey)
    - name: LINE_ITEMS
      description: Line items in orders
      base_table:
        database: SNOWFLAKE_SAMPLE_DATA
        schema: TPCH_SF1
        table: LINEITEM
      primary_key:
        columns:
          - L_ORDERKEY
          - L_LINENUMBER
      dimensions:
        - name: L_ORDERKEY
          expr: L_ORDERKEY
          data_type: VARCHAR(134217728)
        - name: L_LINENUMBER
          expr: L_LINENUMBER
          data_type: VARCHAR(134217728)
      facts:
        - name: DISCOUNTED_PRICE
          description: Extended price after discount
          expr: l_extendedprice * (1 - l_discount)
          data_type: "NUMBER(25,4)"
        - name: LINE_ITEM_ID
          expr: "CONCAT(l_orderkey, '-', l_linenumber)"
          data_type: VARCHAR(134217728)
    - name: ORDERS
      synonyms:
        - sales orders
      description: All orders table for the sales domain
      base_table:
        database: SNOWFLAKE_SAMPLE_DATA
        schema: TPCH_SF1
        table: ORDERS
      primary_key:
        columns:
          - O_ORDERKEY
      dimensions:
        - name: ORDER_DATE
          description: Date when the order was placed
          expr: o_orderdate
          data_type: DATE
        - name: ORDER_YEAR
          description: Year when the order was placed
          expr: YEAR(o_orderdate)
          data_type: "NUMBER(4,0)"
        - name: O_ORDERKEY
          expr: O_ORDERKEY
          data_type: VARCHAR(134217728)
        - name: O_CUSTKEY
          expr: O_CUSTKEY
          data_type: VARCHAR(134217728)
      facts:
        - name: COUNT_LINE_ITEMS
          expr: COUNT(line_items.line_item_id)
          data_type: "NUMBER(18,0)"
      metrics:
        - name: AVERAGE_LINE_ITEMS_PER_ORDER
          description: Average number of line items per order
          expr: AVG(orders.count_line_items)
        - name: ORDER_AVERAGE_VALUE
          description: Average order value across all orders
          expr: AVG(orders.o_totalprice)
  relationships:
    - name: LINE_ITEM_TO_ORDERS
      left_table: LINE_ITEMS
      right_table: ORDERS
      relationship_columns:
        - left_column: L_ORDERKEY
          right_column: O_ORDERKEY
      relationship_type: many_to_one
    - name: ORDERS_TO_CUSTOMERS
      left_table: ORDERS
      right_table: CUSTOMERS
      relationship_columns:
        - left_column: O_CUSTKEY
          right_column: C_CUSTKEY
      relationship_type: many_to_one
  $$
);
Copy
+-----------------------------------------+
| SYSTEM$CREATE_SEMANTIC_VIEW_FROM_YAML   |
|-----------------------------------------|
| Semantic view was successfully created. |
+-----------------------------------------+
语言: 中文