INSERT 语义(即,当 insert() 构造编译成 SQL 字符串并使用 Connection.execute() 或等效方法在数据库上执行时):单行 INSERT 语句将自动为此列生成一个新的整数主键值,该值在语句被调用后可通过 Result 对象上的 CursorResult.inserted_primary_key 属性访问。当使用 ORM 持久化 OR
以及Insert.values()方法中与列相同名称的bindparam()的错误/回归,仅在 2.0 版本中会在某些情况下静默地失败,不会遵守呈现参数的 SQL 表达式,而是用同名的新参数替换表达式并丢弃 SQL 表达式的任何其他元素,比如 SQL 函数等。
SQL operations like SELECT, UPDATE and DELETE can be performed on related tables. This section describes these operations using SQLAlchemy.For this purpose, two tables are created in our SQLite database (college.db). The students table has the same structure as given in the previous section; ...
MetaData.tablesInspector.get_table_names()Inspector.get_sorted_table_and_fkc_names()attribute tables: util.FacadeDict[str, Table]一个由Table对象组成的字典,按它们的名称或“表键”键控。确定的键由Table.key属性决定;对于没有Table.schema属性的表,这与Table.name相同。对于具有模式的表,它通常采用schema...
Fixed issue where the internal cloning used by thePropComparator.any()method on arelationship()in the case where the related class also makes use of ORM polymorphic loading, would fail if a hybrid property on the related, polymorphic class were used within the criteria for theany()operation. ...
[orm] [bug]Fixed bug where using DML returning such asInsert.returning()with an ORM model that has_orm.column_property()constructs that contain subqueries would fail with an internal error. References:#12326 [orm] [bug]Fixed bug in ORM enabled UPDATE (and theoretically DELETE) where using a...
column_keys– 用于 INSERT 和 UPDATE 语句,一个应该存在于编译后语句的 VALUES 子句中的列名列表。如果为None,则从目标表对象中渲染所有列。 dialect– 一个Dialect实例,可以生成一个Compiled对象。此参数优先于bind参数。 compile_kwargs – 额外参数的可选字典,这些参数将通过所有“访问”方法传递给编译器。这允许...
Indexes are supported only for Hybrid Tables in Snowflake SQLAlchemy. For more details on limitations and use cases, refer to theCreate Index documentation. You can create an index using the following methods: Single Column Index You can create a single column index by setting theindex=Trueparam...
You will now use the Flask shell to insert a few items into theproductstable. With your virtual environment activated, run the following command to access the Flask shell: flask shell Copy Inside the interactive shell, run the following code: ...
(..."messages", metadata_obj, schema="project", autoload_with=someengine...)>>># two different objects>>>messages_table_1ismessages_table_2False>>># stored in two different ways>>>metadata.tables["messages"]ismessages_table_1True>>>metadata.tables["project.messages"]ismessages_table_2...