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SQLAlchemy offers tools for database schema generation, querying, and object-relational mapping. Key features include: A comprehensive embedded domain-specific language for SQL in Python called "SQLAlchemy Core" that provides means to construct and execute SQL queries. A powerful ORM that allows the mapping of Python classes to database tables.
SQLObject is a Python object-relational mapper between a SQL database and Python objects. It is experiencing community popularity, and forms a part of many applications (e.g., TurboGears ). It is very similar to Ruby on Rails ' ActiveRecord in operation in that it uses class definitions to form table schemas, and utilizes the language's ...
The connection object obtained from the connection pool is often a wrapper around the actual database connection. The wrapper understands its relationship with the pool, and hides the details of the pool from the application. For example, the wrapper object can implement a "close" method that can be called just like the "close" method on the ...
For example, consider an address book entry that represents a single person along with zero or more phone numbers and zero or more addresses. This could be modeled in an object-oriented implementation by a "Person object " with an attribute/field to hold each data item that the entry comprises: the person's name, a list of phone numbers, and a ...
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...
It is a stand-alone library, not part of any framework. RedBeanPHP is an on-the-fly object–relational mapper, this means there is no upfront configuration. The system relies on conventions entirely and adapts the database schema to fit the needs of the program. This way, it strikes a balance between NoSQL and traditional RDBMS solutions.
Cypher was originally intended to be used with the graph database Neo4j, but was opened up through the openCypher project in October 2015. [ 3 ] The language was designed with the power and capability of SQL (standard query language for the relational database model ) in mind, but Cypher was based on the components and needs of a database built ...
Third-party libraries written in Python may also be uploaded. [7] [8] SDK version 1.2.2 added support for bulk downloads of data using Python. [9] App Engine's integrated Google Cloud Datastore database has a SQL-like syntax called "GQL" (Google Query Language). GQL does not support the join statement. [10]