mysql-python

问题 I am in a dilema that how could i writ such sql queries to make a seach. I have tried and posted it, but it not as expected when user enter data in multiple field of a form and make a search. The query which i wrote form for a single form field and makes a search and display #!/usr/bin/python import cgi import MySQLdb class Table(): def __init__(self, host, user, passwd, name): self.db = MySQLdb.connect(host = host, user = user, passwd = passwd, db = name) self.cursor = self.db.cursor() def

问题 The following logic works with the mysqldb module (see python mysqldb multiple cursors for one connection), but I am getting the following error with mysql.connector on cursor2.execute(sql) "Unread result found." I realize that I can use a join to combine these 2 simple sql statements and avoid the need for a second cursor, but my real world example is more complex and requires a second sql statement. Assuming I need to execute 2 separate sql statements (1 for the loop and 1 inside the loop),

问题 This is something that has been biting me for quite sometime now. I have the following pickle file (named rawFile.raw) that I generated by serializing some Python Dict objects : content of rawFile.raw (truncated for legibility) : (dp0 S'request_body # 1' p1 S'' p2 sS'port # 1' p3 I80 sS'query_params # 1' p4 ccopy_reg _reconstructor p5 (cnetlib.odict ODict p6 c__builtin__ object p7 Ntp8 Rp9 (dp10 S'lst' p11 (lp12 (S'layoutId' p13 S'-1123196643' p14 tp15 asbsS'headers # 1' p16 g5 (cnetlib.odict

问题 I tried importing the MySQLdb within iPython and received the following error. ImportError Traceback (most recent call last) <ipython-input-4-f5538763dbdb> in <module>() ----> 1 import MySQLdb as mdb 2 import sys /Users/user1/anaconda/lib/python2.7/site-packages/MySQLdb/__init__.py in <module>() 17 from MySQLdb.release import __version__, version_info, __author__ 18 ---> 19 import _mysql 20 21 if version_info != _mysql.version_info: ImportError: dlopen(/Users/user1/anaconda/lib/python2.7/site

问题 I have list and I want to enter each element of that list into associated indexed cells of a column in MYSQL using Python. E.g lst = [11,22,33,44,55,66] MYSql column: Data 11 22 33 44 55 66. How can I achieve this. 回答1: Following code will do the work: values = [list([item]) for item in lst] cursor.executemany(u'INSERT INTO `tbl`(`Data`)(%s)', values) 来源： https://stackoverflow.com/questions/16225128/insert-a-python-list-into-a-column-in-mysql

问题 I am trying to create a new MySQL database with Ansible controller running on Mac OSX. When I first got msg: the python mysqldb module is required error message, I added a task to install the MySQL-python with pip . It got installed correctly, however still I am still getting an error from Ansible demanding its installation. My minimal playbook is: - hosts: all tasks: - name: Ensure MySQL-python module is installed pip: name: MySQL-python executalbe: /usr/local/Cellar/python/2.7.10_2/bin/pip

问题 I have been struggling with this for hours and I feel like crying now as I'm unable to fathom out what is happening. Here is a simplified version of my data: mydata = [ { 'id': 123, 'thing': 'ghi', 'value': 1 }, { 'id': 456, 'thing': 'xyz', 'value': 0 } ] This is the code I have: import MySQLdb as mdb con = None con = mdb.connect('localhost', 'testing', 'anothervalue', 'andanother'); cur = con.cursor() sql = "INSERT INTO `tablename` ( `id`, `thing`, `value` ) VALUES ( %(id)s, %(thing)s, %

问题 In twisted I am a perpetual event loop that is always lookig for a new query to run It polls a SQS queue and are are times where time between queres is long enough to time out and this is the error I get when a new query arrives... MySQLdb _mysql_exceptions.OperationalError: (2006, 'MySQL server has gone away') here is my connection self.pool = adbapi.ConnectionPool("MySQLdb", self.parms['host'], self.parms['username'], self.parms['password'], self.parms['database']) Here is the logic I use

问题 I'm working with python2.6 and MySQLdb. I have a table with this data +----+--------+ | id | status | +----+--------+ | 1 | A | | 2 | B | | 3 | B | +----+--------+ I want to do an mysql update like this example: UPDATE my_table SET status = "A" where id in (1,2,3,10001); Query OK, 2 rows affected (0.03 sec) Rows matched: 3 Changed: 2 Warnings: 0 And I need to know if all the ids in the update exits in the database. My idea to get this information was to compare the number of items I tried to

问题 I am trying to insert columns of data that I extracted from .csv file into MySQL using Pandas (Python). Here is my code that I have so far. import pandas as pd from pandas.io import sql from sqlalchemy import create_engine engine = create_engine('mysql://username:password@localhost/dbname') with engine.connect() as conn, conn.begin(): df = pd.read_csv('File.csv', usercols=['ID', 'START_DATE'], skiprows=skip) print(df) df.to_sql(con=con, name='Table1', if_exists='replace', flavor='mysql') But,