CursorWarningMixIn, CursorStoreResultMixIn, CursorTupleRowsMixIn, and BaseCursor are some components of the cursor class. BaseCursor is the base class for Cursor objects.There are several cursor classes in MySQLdb.cursors: These are objects that are responsible for submitting various SQL statements to a database server. >conn.getsource(proc) //fetches stored procedure code Cursor objectsĬursor is one of the powerful features of SQL. >conn.callproc(proc,param) //call stored procedure for execution >conn.rollback() //Roll back the transactions You can use a connection object for calling methods like commit(), rollback() and close() as shown below: >cur = conn.cursor() //creates new cursor object for executing SQL statements These connection objects are also used as representatives of the database session.Ī connection is created as follows: >conn = nnect('library', user='suhas', password='python') Python’s DB-API consists of connection objects, cursor objects, standard exceptions and some other module contents, all of which we will discuss.Ĭonnection objects create a connection with the database and these are further used for different transactions. Pydb2 is the DB-API implementation for DB2. DB-API implementations for Oracle are dc_oracle2 and cx_oracle. For PostgreSQL, it supports psycopg, PyGresQL and pyPgSQL modules. The Python DB API implementation for MySQL is MySQLdb. Python DB-API is independent of any database engine, which enables you to write Python scripts to access any database engine. Python database APIs are compatible with various databases, so it is very easy to migrate and port database application interfaces.Python supports relational database systems.In Python, these connections are taken care of. In many programming languages, the application developer needs to take care of the open and closed connections of the database, to avoid further exceptions and errors.Programming in Python is arguably more efficient and faster compared to other languages.There are many good reasons to use Python for programming database applications: Benefits of Python for database programming For database programming, the Python DB API is a widely used module that provides a database application programming interface. Python also supports Data Definition Language (DDL), Data Manipulation Language (DML) and Data Query Statements. Python supports various databases like MySQL, Oracle, Sybase, PostgreSQL, etc. The Python programming language has powerful features for database programming. Additionally, these databases support database normalisation rules for avoiding redundancy of data. SQL is used to access data, and also to create and exploit the relationships between the stored data. These database systems support SQL, the Structured Query Language, which is used to create, access and manipulate the data. These are essentially collections of tables, and’ connected with each other through columns. From a construction firm to a stock exchange, every organisation depends on large databases.
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