Python Database Error Handling
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Python Raise Runtime Error
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Python Exception Handling Best Practices
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Error reporting and processing through exceptions is one of Python’s key features. Care must be taken when handling exceptions to ensure proper application cleanup while maintaining useful error reporting. Error reporting and processing through exceptions is one of Python’s key features. Unlike C, where the common way to report errors is through function return values that then have to be checked on every invocation, in Python a programmer can raise an exception at any point in a program. When the exception is raised, program execution is interrupted as the interpreter searches backis 'module.Error'. In MySQL it is 'MySQLdb.Error'. Every DB-API https://doughellmann.com/blog/2009/06/19/python-exception-handling-techniques/ statement that you execute has the potential to raise an exception. So any time you execute a database query you should surround it http://www.mikusa.com/python-mysql-docs/exceptions.html with a try/exception block. This includes connections, cursor requests, and statement executions. # Get data from database try: cur.execute("SELECT * FROM song") rows = cur.fetchall() except MySQLdb.Error, e: try: print "MySQL Error [%d]: %s" % (e.args[0], e.args[1]) except IndexError: print "MySQL Error: %s" % str(e) # Print results in comma delimited format for row in rows: for col in row: print "%s," % col print "\n" <-- Home -->
Python Network ≡ Menu Search This Site GO A A Smaller Larger Reset Socialize Google+ Facebook Twitter Chat on IRC Sign In Sign Up https://www.python.org/dev/peps/pep-0249/ / Register Sign In About Applications Quotes Getting Started Help Python Brochure Downloads All releases Source code Windows Mac OS X Other Platforms License Alternative Implementations Documentation Docs Audio/Visual Talks https://www.packtpub.com/books/content/exception-handling-mysql-python Beginner's Guide Developer's Guide FAQ Non-English Docs PEP Index Python Books Community Diversity IRC Mailing Lists Python Conferences Special Interest Groups Python Wiki Python Logo Merchandise Community Awards Success Stories python raise Arts Business Education Engineering Government Scientific Software Development News Python News Community News PSF News PyCon News Events Python Events User Group Events Python Events Archive User Group Events Archive Submit an Event Python>>> Python Developer's Guide>>> PEP Index>>> PEP 249 -- Python Database API Specification v2.0 PEP 249 -- Python Database API Specification v2.0 PEP: 249 Title: Python Database API python raise runtime Specification v2.0 Author: mal at lemburg.com (Marc-André Lemburg) Discussions-To: db-sig at python.org Status: Final Type: Informational Created: Post-History: Replaces: 248 Contents Introduction Module Interface Constructors Globals Exceptions Connection Objects Connection methods Cursor Objects Cursor attributes Cursor methods Type Objects and Constructors Implementation Hints for Module Authors Optional DB API Extensions Optional Error Handling Extensions Optional Two-Phase Commit Extensions TPC Transaction IDs TPC Connection Methods Frequently Asked Questions Major Changes from Version 1.0 to Version 2.0 Open Issues Footnotes Acknowledgements Copyright Introduction This API has been defined to encourage similarity between the Python modules that are used to access databases. By doing this, we hope to achieve a consistency leading to more easily understood modules, code that is generally more portable across databases, and a broader reach of database connectivity from Python. Comments and questions about this specification may be directed to the SIG for Database Interfacing with Python . For more information on database interfacing with Python and available packages see the Database Topic Guide . This document describes the Python Database API Specification 2.0 and a set of c
now Close Packt Logo Books & Videos Tech Packt Support Search My Collection Cart Book & Video Categories Web DevelopmentBig Data & Business IntelligenceApplication DevelopmentVirtualization & CloudGame DevelopmentNetworking & ServersHardware & CreativeBusiness All ProductsAll BooksAll VideosLatest Releases 50%off Deal of the Day Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0 $20.00 RRP $39.99 Sign up here to get these deals straight to your inbox Tech Android AngularJS Arduino Blender Bootstrap Data Analysis Django Docker Drupal Graphics Programming Hadoop Internet of Things iOS Java JavaScript jQuery Linux Machine Learning OpenCV OpenStack Oracle Penetration Testing PHP PostgreSQL Python QlikView R Scala Spark Spring Swift Unity WordPress Packt Publishing About Us Our Authors Trade & Partners Contact Us Careers Support FAQs Ordering Information Terms & Conditions Code Downloads & Errata Submit Errata Mapt Subscribe Mapt For Business Take me to Mapt Search Added to Cart ...and more You don't have anything in your cart right now. Subtotal 0.00 Free shipping on print orders for US, UK, Europe and selected Asian countries View Cart Check Out Title added to cart Home > Books > MySQL for Python Exception Handling in MySQL for Python Albert Lukaszewski, PhD September 2010 MySQL for Python Integrate the flexibility of Python and the power of MySQL to boost the productivity of your Python applications Implement the outstanding features of Python's MySQL library to their full potential See how to make MySQL take the processing burden from your programs Learn how to employ Python with MySQL to power your websites and desktop applications Apply your knowledge of MySQL and Python to real-world problems instead of hypothetical scenarios A manual packed with step-by-step exercises to integrate your Python applications with the MySQL database server In the previous article, Inserting Multiple Entries with MySQL for Python, we learned about exception handling in Python. This article, Albert Lukaszewski, PhD, author of MySQL for Python, is a sequel of the previous article which discusses ways to handle errors and warnings that are passed from MySQL for Python and the differences between them. In this article we will specifically cover: Types of errors Customizing for catching Creating a feedback loop Project: Bad apples Read more about this book Types of Errors The following are the six different error types supported by MySQL for Python. These are all caught when raising an error of the respective type, but their specification also allows