![]() _execute_clauseelement ( self, multiparams, params ) File "/usr/local/lib/python3.4/dist-packages/sqlalchemy/engine/base.py", line 793, in _execute_clauseelement keys = distilled_params. To create a cursor, use the cursor () method of a connection object: import nnector cnx (database'world') cursor cnx.cursor () Several related classes inherit from MySQLCursor. But if SELECT * FROM KJ runs slowly, then the connection overhead will be a small part of your current processing, so SQLAlchemy will only make a small improvement.įrom flask import Flask, jsonify, abort, make_response, request, render_template from import SQLAlchemy from sqlalchemy import create_engine import MySQLdb import MySQLdb.cursors from collections import OrderedDict import json app = Flask ( _name_ ) SQLALCHEMY_DATABASE_URI = "mysql+mysqlconnector:// ) File "/usr/local/lib/python3.4/dist-packages/sqlalchemy/engine/base.py", line 720, in execute return meth ( self, multiparams, params ) File "/usr/local/lib/python3.4/dist-packages/sqlalchemy/sql/elements.py", line 317, in _execute_on_connection return connection. You can pass the cursor class you want to use to nnect (): import MySQLdb.cursors nnect (host'. Installation The README file has complete installation instructions. MySQLdb has a separate cursor class for this, the DictCursor. In other words, if SELECT * FROM KJ runs quickly, then the connection overhead will be a large part of your current processing time, so SQLAlchemy will speed things up significantly. Cursor Objects Some examples Using and extending Introduction MySQLdb is an interface to the popular MySQL database server that provides the Python database API. ![]() To write database applications in Python, there are five steps to follow: Import the SQL interface with the following command: > import MySQLdb. To create a connection object use the MySQLdb connect function with the typical MySQL. I say "probably" because if your website is doing loads of stuff in addition to the database connection stuff, then that stuff might be a small proportion of the work it's doing, so the speedup might not be huge. With MySQLdb, the default cursor loads the entire result set into a Python list when the call to cursor.execute(.) is made. If this command runs successfully, you can now start writing scripts for your database. Access to a database requires a connection object and a cursor object. So if you don't have to do that, your website does less processing on each request, which means that it can probably handle more hits. Opening and closing DB connections is a relatively expensive operation, and takes time. Python-3.0 will be supported in a future release. Thread-friendliness (threads will not block each other) MySQL-3.23 through 5.5 and Python-2.4 through 2.7 are currently supported. The design goals are: Compliance with Python database API version 2.0 PEP-0249 Thread-safety. Just answering on behalf of Glenn - if you use SQLAlchemy, then you won't be opening and closing database connections on every hit, because it will handle your connects for you and keep them alive between hits if it can. MySQLdb is an interface to the popular MySQL database server for Python. ![]()
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