pymysql callproc() appears to affect subsequent selects - python

I'm attempting to transition a code base from using MySQLdb to pymysql. I'm encountering the following problem and wonder if anyone has seen something similar.
In a nutshell, if I call a stored procedure through the pymysql cursor callproc() method a subsequent 'select' call through the execute() method using the same or a different cursor returns incorrect results. I see the same results for Python 2.7.2 and Python 3.2.2
Is the callproc() method locking up the server somehow? Code is shown below:
conn = pymysql.connect(host='localhost', user='me', passwd='pwd',db='mydb')
curr = conn.cursor()
rargs = curr.callproc("getInputVar", (args,))
resultSet = curr.fetchone()
print("Result set : {0}".format(resultSet))
# curr.close()
#
# curr = conn.cursor()
curr.execute('select * from my_table')
resultSet = curr.fetchall()
print("Result set len : {0}".format(len(resultSet)))
curr.close()
conn.close()
I can uncomment the close() and cursor creation calls above but this doesn't change the result. If I comment out the callproc() invocation the select statement works just fine.

I have a similar problem with (committed) INSERT statements not appearing in the database. PyMySQL 0.5 für Python 3.2 and MySQL Community Server 5.5.19.
I found the solution for me: instead of using the execute() method, I used the executemany method, explained in the module reference on
http://code.google.com/p/pymssql/wiki/PymssqlModuleReference
There is also a link to examples.
Update
A little later, today, I found out that this is not yet the full solution.
A too fast exit() at the end of the python script makes the data getting lost in the database.
So, I added a time.sleep() before closing the connection and before exit()ing the script, and finally all the data appeared!
(I also switched to using a myisam table)
import pymysql
conn = pymysql.connect(host='localhost', user='root', passwd='', db='mydb', charset='utf8')
conn.autocommit(True)
cur = conn.cursor()
# CREATE tables (SQL statements generated by MySQL workbench, and exported with Menu -> Database -> Forward Engineer)
cur.execute("""
SET #OLD_UNIQUE_CHECKS=##UNIQUE_CHECKS, UNIQUE_CHECKS=0;
SET #OLD_FOREIGN_KEY_CHECKS=##FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0;
SET #OLD_SQL_MODE=##SQL_MODE, SQL_MODE='TRADITIONAL';
DROP SCHEMA IF EXISTS `mydb` ;
CREATE SCHEMA IF NOT EXISTS `mydb` DEFAULT CHARACTER SET utf8 COLLATE utf8_general_ci ;
USE `mydb` ;
# […]
SET SQL_MODE=#OLD_SQL_MODE;
SET FOREIGN_KEY_CHECKS=#OLD_FOREIGN_KEY_CHECKS;
SET UNIQUE_CHECKS=#OLD_UNIQUE_CHECKS;
""")
# Fill lookup tables:
cur.executemany("insert into mydb.number(tagname,name,shortform) values (%s, %s, %s)", [('ЕД','singular','sg'), ('МН','plural','p')] )
cur.executemany("insert into mydb.person(tagname,name,shortform) values (%s, %s, %s)", [('1-Л','first','1st'), ('2-Л','second','2nd'), ('3-Л','third','3rd')] )
cur.executemany("insert into mydb.pos(tagname,name,shortform) values (%s, %s, %s)", [('S','noun','s'), ('A','adjective','a'), ('ADV','adverb','adv'), ('NUM','numeral','num'), ('PR','preposition','pr'), ('COM','composite','com'), ('CONJ','conjunction','conj'), ('PART','particle','part'), ('P','word-clause','p'), ('INTJ','interjection','intj'), ('NID','foreign-named-entity','nid'), ('V','verb','v')] )
#[…]
import time
time.sleep(3)
cur.close()
conn.close()
time.sleep(3)
exit()
I suggest the forum/group https://groups.google.com/forum/#!forum/pymysql-users for further discussion with the developer.

Related

Is commit used on the connect or cursor?

The book named "Practical Programming: 2nd Edition" has conflicting code. This is the start of my code:
import sqlite3
con = sqlite3.connect('stackoverflow.db')
cur = conn.cursor()
To commit, would I use con.commit(), cur.commit() or are there different times to use each? From the book:
con.commit() :
cur.commit() :
Documentation shows con.commit() :
I took unutbu's advice and tried it myself.
Sample code:
import sqlite3
con = sqlite3.connect('db.db')
cur = con.cursor()
data = [('data', 3), ('data2', 69)]
cur.execute('CREATE TABLE Density(Name TEXT, Number INTEGER)')
for i in data:
cur.execute('INSERT INTO Density VALUES (?, ?)', (i[0], i[1]))
cur.commit()
PyCharm Run:
Traceback (most recent call last):
File "/Users/User/Library/Preferences/PyCharmCE2018.1/scratches/scratch_2.py", line 13, in <module>
cur.commit()
AttributeError: 'sqlite3.Cursor' object has no attribute 'commit'
Error in textbook. cur.commit() does not exist.
Thanks unutbu and s3n0
con.commit() and conn.commit() are the same ... they are created object types ... in both cases they are otherwise named ... important is mainly .commit() and not the naming that the programmer has specified
There are object types that use a different name (con and cur - as you asked) to calling the method. You can also use a different name in your code, for example:
db = sqlite3.connect('/tmp/filename.db')
cursor = db.cursor()
cursor.execute("CREATE TABLE ....
.... some DB-API 2.0 commands ....
")
db.commit()
Please check again the webpage https://docs.python.org/3/library/sqlite3.html .
You forgot to copy these two lines from the webpage:
import sqlite3
conn = sqlite3.connect('example.db')
And then continuing the code (just copied it):
c = conn.cursor()
# Create table
c.execute('''CREATE TABLE stocks
(date text, trans text, symbol text, qty real, price real)''')
# Insert a row of data
c.execute("INSERT INTO stocks VALUES ('2006-01-05','BUY','RHAT',100,35.14)")
# Save (commit) the changes
conn.commit()
# We can also close the connection if we are done with it.
# Just be sure any changes have been committed or they will be lost.
conn.close()
I think if you're using a specified cursor to commit changes, in your case, it should be cur.connection.commit().
You can always use connect to commit in the end of your code, whether it's named db, or con or conn.
But when your code gets complicated, you'll have different function to do certain operation to the database, if you only use connection commit, when there is a bug, you gonna have a hard time to find which function failed. So you create specific cursor for specific operation, when that failed, the traceback message will show you which specific cursor when wrong.
To #s3n0 & #DanielYu's point they can be handled two different ways. I had to list these out to better understand the overlap:
Connection Objects
backup
close
commit
create_aggregate
create_collation
create_function
cursor
enable_load_extension
execute
executemany
executescript
in_transaction
interrupt
isolation_level
iterdump
load_extension
rollback
row_factory
set_authorizer
set_progress_handler
set_trace_callback
text_factory
total_changes
Cursor objects
arraysize
close
connection
description
execute
executemany
executescript
fetchall
fetchmany
fetchone
lastrowid
rowcount
setinputsizes
setoutputsize

Python mysql connector returns tuple

I am connecting to mysql database via mysql connector and running a simple query to pull a list of IDs. I need to loop over that list and pass them into some other code. For some reason I am getting a list of tuples. Is this expected behavior? If not, what am I doing wrong?
Here is the snippet of my code:
import mysql.connector
conn = mysql.connector.connect(host='127.0.0.1', database='t', user='r', password='pwd')
cursor = conn.cursor()
query = ( "select id from T where updated < '%s'" % (run_date) )
cursor.execute(query)
for row in cursor:
print (row)
cursor.close()
I am getting the following back (from an INT field in d/b):
(Decimal('991837'),)
(Decimal('991838'),)
(Decimal('991839'),)
(Decimal('991871'),)
(Decimal('991879'),)
(Decimal('991899'),)
(Decimal('992051'),)
(Decimal('992299'),)
(Decimal('992309'),)
if you want to access just the data in the row you need to go into the dictionary
first you must make it true in the cursor
cur = db.cursor( buffered=True , dictionary=True)
then the result will be like this :
{'Decimal' : '991837'}
i'm sure the Decimal is your row name
so when you need to access to the value do this
import mysql.connector
conn = mysql.connector.connect(host='127.0.0.1', database='t', user='r', password='pwd')
cursor = conn.cursor()
query = ( "select id from T where updated < '%s'" % (run_date) )
cursor.execute(query)
for row in cursor:
print (row['Decimal'])
cursor.close()
i hope it works for i was looking for this solution for the past 2 days and no answers
the only way i debugged i opened the debugger and print out all the variables
have fun with Python :)
Yes, this is expected behavior. Using the cursor as an iterable is basically equivalent to looping over it using the fetchone() method. From the documentation for fetchone() (emphasis mine):
This method retrieves the next row of a query result set and returns a
single sequence, or None if no more rows are available. By default,
the returned tuple consists of data returned by the MySQL server,
converted to Python objects. If the cursor is a raw cursor, no such
conversion occurs;

Python and PostgreSQL - GeomFromText

I'm a Python learner,
I'm trying to insert geometry records into PostgreSQL.
If I tried the query without the geometry column, it works fine and all data inserted successfully.
cur.execute("INSERT INTO taxi (userid,carNum) SELECT '"+str(msg['UserID'])+"',"+str(msg['CarNumber']))
Once I try to add the geometry records, nothing happens! execution ends without errors but nothing being inserted into DB.
cur.execute("INSERT INTO taxi (position,userid,carNum) SELECT GeomFromText('POINT("+str(float(msg['longitude']))+" "+str(float(msg['latitude']))+")',4326),'"+str(msg['UserID'])+"',"+str(msg['CarNumber']))
Couldn't figure out what I'm missing here
You need to commit the data to the database.
Check the documentation of psycopg2 http://initd.org/psycopg/docs/usage.html#passing-parameters-to-sql-queries
Follow those steps
>>> import psycopg2
# Connect to an existing database
>>> conn = psycopg2.connect("dbname=test user=postgres")
# Open a cursor to perform database operations
>>> cur = conn.cursor()
# Execute a command: this creates a new table
>>> cur.execute("CREATE TABLE test (id serial PRIMARY KEY, num integer, data varchar);")
# Pass data to fill a query placeholders and let Psycopg perform
# the correct conversion (no more SQL injections!)
>>> cur.execute("INSERT INTO test (num, data) VALUES (%s, %s)",
... (100, "abc'def"))
# Query the database and obtain data as Python objects
>>> cur.execute("SELECT * FROM test;")
>>> cur.fetchone()
(1, 100, "abc'def")
# Make the changes to the database persistent
>>> conn.commit()
# Close communication with the database
>>> cur.close()
>>> conn.close()

Enable executing multiple statements while execution via sqlalchemy

I have a DDL object (create_function_foo) that contains a create function statement. In first line of it I put DROP FUNCTION IF EXISTS foo; but engine.execute(create_function_foo) returns:
sqlalchemy.exc.InterfaceError: (InterfaceError) Use multi=True when executing multiple statements
I put multi=True as parameter for create_engine, engine.execute_options and engine.execute but it doesn't work.
NOTE: engine if my instance of create_engine
NOTE: I'm using python 3.2 + mysql.connector 1.0.12 + sqlalchemy 0.8.2
create_function_foo = DDL("""\
DROP FUNCTION IF EXISTS foo;
CREATE FUNCTION `foo`(
SID INT
) RETURNS double
READS SQL DATA
BEGIN
...
END
""")
Where I should put it?
multi=True is a requirement for MySql connector. You can not set this flag passing it to SQLAlchemy methods. Do this:
conn = session.connection().connection
cursor = conn.cursor() # get mysql db-api cursor
cursor.execute(sql, multi=True)
More info here: http://www.mail-archive.com/sqlalchemy#googlegroups.com/msg30129.html
Yeah... This seems like a bummer to me. I don't want to use the ORM so the accepted answer didn't work for me.
I did this instead:
with open('sql_statements_file.sql') as sql_file:
for statement in sql_file.read().split(';'):
if len(statement.strip()) > 0:
connection.execute(statement + ';')
And then this failed for a CREATE function.... YMMV.
There are some cases where SQLAlchemy does not provide a generic way at accessing some DBAPI functions, such as as dealing with multiple result sets. In these cases, you should deal with the raw DBAPI connection directly.
From SQLAlchemy documentation:
connection = engine.raw_connection()
try:
cursor = connection.cursor()
cursor.execute("select * from table1; select * from table2")
results_one = cursor.fetchall()
cursor.nextset()
results_two = cursor.fetchall()
cursor.close()
finally:
connection.close()
You can also do the same using mysql connector as seen here:
operation = 'SELECT 1; INSERT INTO t1 VALUES (); SELECT 2'
for result in cursor.execute(operation, multi=True):
if result.with_rows:
print("Rows produced by statement '{}':".format(
result.statement))
print(result.fetchall())
else:
print("Number of rows affected by statement '{}': {}".format(
result.statement, result.rowcount))

Python, Sqlite not saving results on the file

I have this code in Python:
conn = sqlite3.connect("people.db")
cursor = conn.cursor()
sql = 'create table if not exists people (id integer, name VARCHAR(255))'
cursor.execute(sql)
conn.commit()
sql = 'insert into people VALUES (3, "test")'
cursor.execute(sql)
conn.commit()
sql = 'insert into people VALUES (5, "test")'
cursor.execute(sql)
conn.commit()
print 'Printing all inserted'
cursor.execute("select * from people")
for row in cursor.fetchall():
print row
cursor.close()
conn.close()
But seems is never saving to the database, there is always the same elements on the db as if it was not saving anything.
On the other side If I try to access the db file via sqlite it I got this error:
Unable to open database "people.db": file is encrypted or is not a database
I found on some other answers to use conn.commit instead of conn.commit() but is not changing the results.
Any idea?
BINGO ! people! I Had the same problem. One of thr reasons where very simple. I`am using debian linux, error was
Unable to open database "people.db": file is encrypted or is not a database
database file was in the same dir than my python script
connect line was
conn = sqlite3.connect('./testcases.db')
I changed this
conn = sqlite3.connect('testcases.db')
! No dot and slash.
Error Fixed. All works
If someone think it is usefull, you`re welcome
This seems to work alright for me ("In database" increases on each run):
import random, sqlite3
conn = sqlite3.connect("people.db")
cursor = conn.cursor()
sql = 'create table if not exists people (id integer, name VARCHAR(255))'
cursor.execute(sql)
for x in xrange(5):
cursor.execute('insert into people VALUES (?, "test")', (random.randint(1, 10000),))
conn.commit()
cursor.execute("select count(*) from people")
print "In database:", cursor.fetchone()[0]
You should commit after making changes i.e:
myDatabase.commit()
can you open the db with a tool like sqlite administrator ? this would proove thedb-format is ok.
if i search for that error the solutions point to version issues between sqlite and the db-driver used. maybe you can chrck your versions or AKX could post the working combination.
regards,khz

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