Reputation: 9233
I have a Flask
website with a MySQL
backend. I have a table called, users. It has two columns: username and name and one record:
name username
Jim testuser123
When a user clicks the button on the website, it updates the record to set the name to Bob
then print all records where name = 'Bob'
. Yet, it returns no results. If I refresh the connection before re-querying, then it does return one result as it should. Does the mdb.connect
object cache data? How could it not be returning the correct results?
init.py:
import pandas as pd
import MySQLdb as mdb
from flask import Flask, render_template, request
def sql_con():
return mdb.connect(host='myhost', port=3306, user='root', passwd='root', db='db', use_unicode=True, charset="utf8")
app = Flask(__name__)
def update_record():
con = sql_con()
cur = con.cursor()
sql_string= "Update users set name = 'Bob' where username = 'testuser123'"
cur.execute(sql_string)
con.commit()
@app.route('/', methods=['GET', 'POST'])
def myroute():
con = sql_con()
if request.method == 'POST':
update_record()
print pd.read_sql("select * from users where name = 'Bob'", con=con)
return render_template('1.html')
app.run( debug=True, port=5050)
1.html
<html>
<body>
<form method="POST">
<button id="mybutton" name='btn' value="mybutton">Submit Data</button>
</form>
</body>
For this code to print one result, I must add con=sql_con()
right after I call the update()
, but before the print
statement. Why is that?
Upvotes: 0
Views: 1048
Reputation: 1318
In general it is a good practice to use an ORM binding (i.e. Falsk-SQLAlchemy) with web frameworks (manages connection pools, automates commit/rollback, ...) even if an ORM seems overkill for a simple application.
Otherwise, avoid using multiple connections to the same database in the same request if you prefer manage this at low level (database connections).
Try this instead:
import pandas as pd
import MySQLdb as mdb
from flask import Flask, render_template, request
def sql_con():
return mdb.connect(host='myhost', port=3306, user='root', passwd='root', db='db', use_unicode=True, charset="utf8")
app = Flask(__name__)
def update_record(con):
cur = con.cursor()
sql_string= "Update users set name = 'Bob' where username = 'testuser123'"
cur.execute(sql_string)
con.commit()
@app.route('/', methods=['GET', 'POST'])
def myroute():
con = sql_con()
if request.method == 'POST':
update_record(con)
print pd.read_sql("select * from users where name = 'Bob'", con=con)
return render_template('1.html')
app.run( debug=True, port=5050)
If you want to scale a real app based on such solution, you should consider pulling an opened connection from a global connections pool. Creating a new db connection (at each HTTP request) may be time expensive.
Upvotes: 1