Python and MySQL

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MySQL Users Conference 2005, Santa Clara, CA

Python and MySQL

Python and MySQL

Andy Dustman

Office of Information Technology

Terry College of Business

University of Georgia

Andy Dustman

<A href="mailto:adustman%40terry.uga.edu"></A><ADUSTMAN><A href="mailto:adustman%40terry.uga.edu"></A></ADUSTMAN>

Terry College of Business

<A href="http://www.terry.uga.edu/">http://www.terry.uga.edu/</A>

University of Georgia

<A href="http://www.uga.edu/">http://www.uga.edu/</A>

Python for the PyCurious

• interpreted (byte-code compiler)
• interactive (easy to test ideas)
• object-oriented (everything's an object)
• rapid development (5-10x C++, Java)
• fits your brain [Bruce Eckel]
• fits your wallet: free (OSI and GPL)
• fun!

Introductory Material on Python:

<A href="http://www.python.org/doc/Intros.html">http://www.python.org/doc/Intros.html</A>

Types

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The basic Python types and their mutability

	Mutable	Immutable
Sequence	list	tuple str, unicode
Number		int, long, float
Mapping	dict
Other	object

Basic type examples

>>> i=1 # an int<BR></BR>>>> j=2**64-1 # a long integer<BR></BR>>>> print j<BR></BR>18446744073709551615<BR></BR>>>> f=3.14 # float (C double)<BR></BR>>>> c=1-1j # complex (1j is imaginary)<BR></BR>>>> print c<BR></BR>(1-1j)<BR></BR>>>> s="welcome to python!"<BR></BR>>>> s.capitalize().split() # returns a list<BR></BR>['Welcome', 'to', 'python!']<BR></BR>>>> [ word.capitalize() for word in s.split() ]<BR></BR>['Welcome', 'To', 'Python!']<BR></BR>>>> a, b = 1, 2<BR></BR>>>> print (a,b) # a tuple<BR></BR>(1, 2)<BR></BR>>>> a, b = b, a<BR></BR>>>> print (a,b)<BR></BR>(2, 1)<BR></BR>

Strings

>>> "Normal string literal isn't very interesting."<BR></BR>"Normal string literal isn't very interesting."<BR></BR>>>> 'Single quotes work "same as double".'<BR></BR>'Single quotes work "same as double".'<BR></BR>>>> """Triple-quoted strings are good for long strings<BR></BR>... which span multiple lines."""<BR></BR>'Triple-quoted strings are good for long strings\nwhich span multiple lines.'<BR></BR>>>> r"Raw strings are useful for regexs, i.e. \w+ or \1"<BR></BR>'Raw strings are useful for regexs, i.e. \\w+ or \\1'<BR></BR>>>> u"Unicode strings work just like regular strings."<BR></BR>u'Unicode strings work just like regular strings.'<BR></BR>>>> u"\u72c2\n\u7009".encode('utf-8')<BR></BR>'\xe7\x8b\x82\n\xe7\x80\x89'<BR></BR>>>> print u"\u72c2\n\u7009".encode('utf-8')<BR></BR>¿<BR></BR>¿<BR></BR>

Strings

Lots of string methods and operators:

>>> "Split words into a list.".split()<BR></BR>['Split', 'words', 'into', 'a', 'list.']<BR></BR>>>> ' '.join(['Join', 'a', 'list', 'of', 'strings'])<BR></BR>'Join a list of strings'<BR></BR>>>> "Concatenate" + " " + "strings"<BR></BR>'Concatenate strings'<BR></BR>>>> "Multiplicity! " * 3<BR></BR>'Multiplicity! Multiplicity! Multiplicity! '<BR></BR>>>> "Parameter %s" % "substitution"<BR></BR>'Parameter substitution'<BR></BR>>>> d = dict(first_name="Vee", last_name="McMillen",<BR></BR>... company="O'Reilly")<BR></BR>>>> "Hello, %(first_name)s. How are things at %(company)s?" % d<BR></BR>"Hello, Vee. How are things at O'Reilly?"<BR></BR>

Dictionaries

Python dictionaries are like perl hashes:

>>> d1={}<BR></BR>>>> d1['a']=1<BR></BR>>>> d1['b']=2<BR></BR>>>> d1['c']=3<BR></BR>>>> d1<BR></BR>{'a': 1, 'c': 3, 'b': 2}<BR></BR>>>> d2={'a': 1, 'c': 3, 'b': 2}<BR></BR>>>> d3=dict([('a',1),('b',2),('c',3)])<BR></BR>>>> d4=dict(a=1, b=2, c=3)<BR></BR>>>> d1 == d2 == d3 == d4<BR></BR>True<BR></BR>>>> len(d1)<BR></BR>3<BR></BR>

Values can be any type, but keys must be immutable.

Sequences

>>> l = ['a','b','c','d','e']<BR></BR>>>> print l[0]<BR></BR>a<BR></BR>>>> print l[-1]<BR></BR>e<BR></BR>>>> print l[2:4]<BR></BR>['c', 'd']<BR></BR>>>> s='abcde'<BR></BR>>>> print s[2:4]<BR></BR>cd<BR></BR>>>> print s[::2]<BR></BR>ace<BR></BR>>>> print s[::-1]<BR></BR>edcba<BR></BR>>>> l.append(s)<BR></BR>>>> print l<BR></BR>['a', 'b', 'c', 'd', 'e', 'abcde']<BR></BR>

Iterators

• iter(object) returns an iterator object
• iterobj.next() returns the next object
• StopIteration is raised when there are no more objects

  >>> # no normal person would do this<BR></BR>>>> l = [1, 2, 3]<BR></BR>>>> i = iter(l)<BR></BR>>>> i.next()<BR></BR>1<BR></BR>>>> i.next()<BR></BR>2<BR></BR>>>> i.next()<BR></BR>3<BR></BR>>>> i.next()<BR></BR>Traceback (most recent call last):<BR></BR>  File "<STDIN>", line 1, in ?<BR></BR>StopIteration<BR></BR></STDIN>

Common iterator usage

>>> l = [1, 2, 3]<BR></BR>>>> for item in l:<BR></BR>...     print item<BR></BR>...<BR></BR>1<BR></BR>2<BR></BR>3<BR></BR>>>> d = dict(a=1, b=2, c=3)<BR></BR>>>> for key in d:<BR></BR>...     print key, d[key]<BR></BR>...<BR></BR>a 1<BR></BR>c 3<BR></BR>b 2<BR></BR>

Exceptions

f = open("myfile", 'r')<BR></BR>try:<BR></BR>    try:<BR></BR>        for line in f:<BR></BR>            try:<BR></BR>                process(line)<BR></BR>            except TypeError:<BR></BR>                line = mangle(line)<BR></BR>                try:<BR></BR>                    process(line)<BR></BR>                except TypeError:<BR></BR>                    raise FoobarError, line<BR></BR>    except IOError, message:<BR></BR>        print "Error reading:", message<BR></BR>    except FoobarError:<BR></BR>        print "This file is totally munged."<BR></BR>    except:<BR></BR>        print "Something inexplicable happened:"<BR></BR>        raise # re-raise original exception<BR></BR>finally:<BR></BR>    f.close()<BR></BR>

Odds and ends

• Code blocks are delimited by indentation
  • You probably do this already
  • Space or tabs, your call; just be consistent
  • No need for curly braces
  • Less cluttered, easier to read
• End-of-line is a statement separator (so is ;)
• No type enforcement
  • Argument types are not checked
  • Function return types are not checked
  • Type checking makes your code less flexible
  • If you still want it, you can add it cleanly with decorators
• Operator overloading for user-defined classes
• Everything is a reference (pass by reference)
• None object for null/missing values (equivalent to NULL)

Odds and ends

• Member access with . operator
  • instance.method()
  • instance.attribute
  • instance.attribute.another
• Functions/methods are not the only things that are callable
• Decorators apply a callable to a function at creation time:

  @g<BR></BR>def f(x):<BR></BR>    ...<BR></BR>

  is equivalent to:

  def f(x):<BR></BR>    ...<BR></BR>f = g(f)

The Python DB-API

• Standard API for database access
• PEP 249: <A href="http://www.python.org/peps/pep-0249.html" title="PEP 249: Python Database API v2.0">http://www.python.org/peps/pep-0249.html</A>
• By convention, module name ends with "db", i.e. MySQLdb
• Module Interface
• Connection Objects
• Cursor Objects
• DBI Helper Objects
• Type Objects and Constructors
• Implementation Hints
• Major Changes from 1.0 to 2.0

Module Interface

connect(...)

Constructor for creating a connection to the database. Returns a Connection Object.

apilevel

String constant stating the supported DB API level.

threadsafety

Integer constant stating the level of thread safety the interface supports.

SQL parameter placeholders

paramstyle

String constant stating the type of parameter marker formatting expected by the interface.

'qmark'

Question mark style, e.g. '...WHERE name=?'

'numeric'

Numeric, positional style, e.g. '...WHERE name=:1'

'named'

Named style, e.g. '...WHERE name=:name'

'format'

ANSI C printf format codes, e.g. '...WHERE name=%s'

'pyformat'

Python extended format codes, e.g. '...WHERE name=%(name)s'

MySQLdb 1.0 and 1.2 uses format and pyformat; 2.0 may also support qmark.

Exceptions

• StandardError
  • Warning
  • Error
    • InterfaceError
    • DatabaseError
    • DataError
    • OperationalError
    • IntegrityError
    • InternalError
    • ProgrammingError
    • NotSupportedError

Connection Object

.close()

Close the connection now

.commit()

Commit any pending transaction to the database. Auto-commit off by default.

.rollback()

Rollback any pending transaction.

.cursor()

Return a new Cursor Object using the connection.

exceptions

The standard exception classes; simplfies error handling in some cases

.messages

list of error/warning messages since last method call

Cursor Object

.description

A sequence of sequences, each of which describe a column of the result.

.rowcount

Number of rows affected by last query.

.callproc(procname[,parameters])

Call a stored database procedure with the given name.

.close()

Close the cursor now.

.execute(operation[,parameters])

Prepare and execute a database operation (query or command). Parameters: sequence or mapping.

.executemany(operation,seq_of_parameters)

Prepare a database operation (query or command) and then execute it against a sequence of parameters.

Cursor Object

.fetchone()

Fetch the next row of the result set as a sequence, or None if there are no more rows.

.fetchmany([size=cursor.arraysize])

Fetch a sequence of up to size rows; may be fewer. Zero length sequence indicates end of result set.

.fetchall()

Fetch all remaining rows as a sequence of rows.

.nextset()

Skip to the next result set. Returns a true value if there is another result set; None (false) if not.

.arraysize

Default number of rows to return with cursor.fetchmany(). Default: 1.

Cursor Object

.rownumber

Current index into result set

.connection

The Connection object for this cursor

.scroll(value[,mode='relative'])

Scroll to a new position in the result set (relative or absolute).

.messages

List containing warning/error messages since last method call (except the .fetchXXX() methods).

.next()

Fetches one row (like fetchone()) or raises StopIteration if no rows left. Iterator protocol

.lastrowid

Row id of the last affected row (i.e. inserting AUTO_INCREMENT columns)

MySQL for Python

• MySQL-python project on SourceForge: <A href="http://sourceforge.net/projects/mysql-python" title="MySQL-python project on SourceForge">http://sourceforge.net/projects/mysql-python</A>
• Current best version: 1.2.0
  • Python-2.3 and newer (and maybe 2.2)
  • MySQL-3.23, 4.0, and 4.1 (and maybe 5.0)
  • Prepared statements not supported yet
• Older version: 1.0.1
  • Python-1.5.2 (very old) and newer
  • MySQL-3.22, 3.23, and 4.0 (not 4.1 or newer)
  • Don't use if you can use 1.2.0
• Vaporware version: 2.0
  • Python-2.4 and newer
  • MySQL-4.0, 4.1, and 5.0
  • Prepared statements will be supported
  • Return all text columns as unicode by default

Architecture

_mysql

• C extension module
• transliteration of MySQL C API into Python objects
• If you use the C API, this should be very familiar
• Deprecated API calls not implemented
• Not everything (particularly fields) is exposed
• SQL column type to Python type conversions handled by a dictionary

MySQLdb

• Adapts _mysql to DB-API
• Many non-standard C API calls are exposed
• Relatively light-weight wrapper
• Implements cursors
• Defines default type mappings; easily customizable

Opening a connection

connect() takes the same options as mysql_real_connect(), and then some.

import MySQLdb<BR></BR><BR></BR># These are all equivalent, for the most part<BR></BR>db = MySQLdb.connect("myhost", "myuser", "mysecret", "mydb")<BR></BR>db = MySQLdb.connect(host="myhost", user="myuser",<BR></BR>                     passwd="mysecret", db="mydb")<BR></BR>auth = dict(user="myuser", passwd="mysecret")<BR></BR>db = MySQLdb.connect("myhost", db="mydb", **auth)<BR></BR>db = MySQLdb.connect(read_default_file="/etc/mysql/myapp.cnf")<BR></BR>

• compress=1 enables gzip compression
• use_unicode=1 returns text-like columns as unicode objects
• ssl=dict(...) negotiates SSL/TLS

Simple query example

import MySQLdb<BR></BR><BR></BR>db = MySQLdb.connect(read_default_file="/etc/mysql/myapp.cnf")<BR></BR>c = db.cursor()<BR></BR>c.execute("""SELECT * FROM users WHERE userid=%s""", ('monty',))<BR></BR>print c.fetchone()<BR></BR>

Notes

• ('monty',) is a 1-tuple; comma required to distinquish from algebraic grouping
• Good reasons not to use *
  • How many columns are being returned?
  • What is the order of the columns?
• Good reasons to use *
  • Table/database browser
  • Lazy

Multi-row query example

c = db.cursor()<BR></BR>c.execute("""SELECT userid, first_name, last_name, company<BR></BR>FROM users WHERE status=%s and expire>%s""",<BR></BR>(status, today))<BR></BR>users = c.fetchall()<BR></BR>

Notes

• We know what the columns are
• Could use some object abstraction

A simple User class

class User(object):<BR></BR><BR></BR>    """A simple User class"""<BR></BR><BR></BR>    def __init__(self, userid,<BR></BR>                 first_name=None, last_name=None,<BR></BR>                 company=None):<BR></BR>        self.userid = userid<BR></BR>        self.first_name = first_name<BR></BR>        self.last_name = last_name<BR></BR>        self.company = company<BR></BR><BR></BR>    def announce(self):<BR></BR>        """Announce User to the world."""<BR></BR>        name = "%s %s" % (self.first_name, self.last_name)<BR></BR>        if self.company:<BR></BR>            return "%s of %s" % (name, self.company)<BR></BR>        else:<BR></BR>            return name<BR></BR><BR></BR>    def __str__(self):<BR></BR>        return self.announce()<BR></BR>

Multi-row query with User object

users = []<BR></BR>c = db.cursor()<BR></BR>c.execute("""SELECT userid, first_name, last_name, company<BR></BR>FROM users WHERE status=%s and expire>%s""",<BR></BR>(status, today))<BR></BR><BR></BR>for userid, first_name, last_name, company in c.fetchall():<BR></BR>    u = User(userid, first_name, last_name, company)<BR></BR>    print u<BR></BR>    users.append(u)<BR></BR>

might produce output like:

Tim O'Reilly of O'Reilly Media, Inc.<BR></BR>Monty Widenius of MySQL AB<BR></BR>Carleton Fiorina<BR></BR>Guido van Rossum of Elemental Security<BR></BR>

Cursors are iterators

Not necessary to use c.fetchall()

users = []<BR></BR>c = db.cursor()<BR></BR>c.execute("""SELECT userid, first_name, last_name, company<BR></BR>FROM users WHERE status=%s and expire>%s""",<BR></BR>(status, today))<BR></BR><BR></BR>for userid, first_name, last_name, company in c:<BR></BR>    u = User(userid, first_name, last_name, company)<BR></BR>    print u<BR></BR>    users.append(u)<BR></BR>

Under certain conditions, this is more efficient than fetchall(), and no worse.

Dictionaries as parameters

Python classes typically store attributes in __dict__, so you can get away with this:

u = User(...)<BR></BR>c = db.cursor()<BR></BR>c.execute("""INSERT INTO users<BR></BR>(userid, first_name, last_name, company)<BR></BR>VALUES (%(userid)s, %(first_name)s,<BR></BR>%(last_name)s, %(company)s)""", u.__dict__)<BR></BR>db.commit()<BR></BR>

Multi-row INSERT

# users is a list of (userid, first_name, last_name, company)<BR></BR>c = db.cursor()<BR></BR>c.executemany("""INSERT INTO users<BR></BR>(userid, first_name, last_name, company)<BR></BR>VALUES (%s, %s, %s, %s)""", users)<BR></BR>db.commit()<BR></BR>

In MySQLdb, this is converted internally to a multi-row INSERT, which is reported to be 2-3 orders of magnitude faster. Also works for REPLACE.

Multi-row INSERT with dictionaries

# users is a list of Users<BR></BR>c = db.cursor()<BR></BR>c.executemany("""INSERT INTO users<BR></BR>(userid, first_name, last_name, company)<BR></BR>VALUES (%(userid)s, %(first_name)s,<BR></BR>%(last_names, %(company)s)""",<BR></BR>[ u.__dict__ for u in users ])<BR></BR>db.commit()<BR></BR>

This builds the parameter list with a list comprehension.

Never do this

Biggest MySQLdb newbie mistake of all time: Seeing %s and thinking, "I should use the % operator here."

users = []<BR></BR>c = db.cursor()<BR></BR>c.execute("""SELECT userid, first_name, last_name, company<BR></BR>FROM users WHERE status='%s' and expire>'%s'""" %<BR></BR>(status, today))<BR></BR><BR></BR>for userid, first_name, last_name, company in c:<BR></BR>    u = User(userid, first_name, last_name, company)<BR></BR>    print u<BR></BR>    users.append(u)<BR></BR>

Note use of % operator to insert parameter values. This does not provide proper quoting (escaping of ', NULL/None, or \0). Passing them separately (as the second parameter) ensures they are quoted correctly. However, % is necessary if you have to insert arbitrary SQL such as column or table names or WHERE clauses.

To buffer, or not to buffer...

mysql_store_result()

Stores all rows of result set in client

Large result sets can chew up a lot of memory

Size of result set known immediately

Result set is seekable

Can issue another query immediately

Used for standard MySQLdb cursor

mysql_use_result()

Sends result set row by row

Consumes resources on server

Must fetch all rows before issuing any other queries

Size of result set unknown until finished

Not seekable

Can be used with MySQLdb's SSCursor

Optional cursor classes

DictCursor causes fetchXXX() methods to return mappings instead of sequences, with column names for keys.

users = []<BR></BR>c = db.cursor(MySQLdb.cursors.DictCursor)<BR></BR>c.execute("""SELECT userid, first_name, last_name, company<BR></BR>FROM users WHERE status=%s and expire>%s""",<BR></BR>(status, today))<BR></BR><BR></BR>for row in c:<BR></BR>    u = User(**row)<BR></BR>    print u<BR></BR>    users.append(u)<BR></BR>

Note that column names happen to match User member names in this case.

Type objects and constructors

• Constructors
  • Date(year,month,day)
  • Time(hour,minute,second)
  • DateFromTicks(ticks)
  • TimeFromTicks(ticks)
  • TimestampFromTicks(ticks)
  • Binary(string)
• Types
  • STRING
  • BINARY
  • NUMBER
  • DATETIME
  • ROWID

These are not often used with MySQLdb.

Embedded server

1. Build with embedded server support:

   $ export mysqlclient=mysqld<BR></BR>$ python setup.py build<BR></BR># python setup.py install<BR></BR>

2. _mysql.server_start()
3. Use normally
4. _mysql.server_end()

Questions?

• http://sourceforge.net/projects/mysql-python
• http://www.terry.uga.edu/
• http://www.uga.edu/

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