pool | mysql connection pool split from sqlalchemy | SQL Database library
kandi X-RAY | pool Summary
kandi X-RAY | pool Summary
mysql connection pool split from sqlalchemy
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Top functions reviewed by kandi - BETA
- Connect to the agent
- Invalidate the connection
- Return information about the connection
- Check the connection
- Create a connection to the database
- Chunk traceback from traceback
- Create a connection record
- Decorate a function to listen for events
- Listen for events
- Removes the event dispatcher
- Return the number of elements in the queue
- Put an item into the queue
- Returns the union of two dicts
- Close the stream
- Recursively updates this object from other
- Return a connection back to the pool
- Log a message at ERROR level
- Log a message at ERROR level
- Return the number of items in the queue
- Get the value of the flag
- Disposes the pool
- Add a listener to the pool
- Set the class logger
- Remove a callback
- Get a connection
- Create a subclass of the dispatch class
pool Key Features
pool Examples and Code Snippets
Lines of Code : 13License : Strong Copyleft (CC BY-SA 4.0)
Copyfrom multiprocessing import Pool
result_storage = pd.Series()
async def add_hour(ix, row):
global result_storage
...
result_storage[ix] = result
for_iterate = ...
with Pool(processes=2) as p:
p.map(add_hour, for_iterate.df_a = for_iterate.iloc[::2] # Get all the even rows
df_b = for_iterate.iloc[1::2] # Get all the odd rows
for (_, example_dataframe_a), (_, example_dataframe_b) in zip(df_a.iterrows(), df_b.iterrows()):
multiprocessing.Process(target=import time
import multiprocessing
import datetime
from os import getpid
def foo_pool(x):
print(getpid())
time.sleep(2)
return str(x) + ' - ' + datetime.datetime.now().strftime('%d/%m/%Y %H:%M:%S')
def main(list_base):
a import multiprocessing
import datetime
from ctypes import c_wchar_p
def add_hour(x, ret_str):
ret_str.value = str(x) + ' - ' + datetime.datetime.now().strftime('%d/%m/%Y %H:%M')
def main(list_base):
a = list_base
a_pairs = [adef f():
global browser
browser
if __name__ == '__main__':
browser = None
# Calling f will not raise an error
f()
def f():
global browser
browser
if __name__ != '__main__':
browser = NoneDATABASES = {
'default': {
'ENGINE' : 'django.db.backends.mysql', # <-- UPDATED line
'NAME' : 'DATABASE_NAME', # <-- UPDATED line
'USER' : 'USER', # <-- UPDATED line
'PAfrom multiprocessing import Pool
import numpy as np
from scipy import ndimage
from time import time
n=6
x0=350
y0=350
r=150
num=10000
#z = np.gradient(sensor_dat, axis=1)
z = np.random.randn(700,700)
def f(i):
x1, y1 = x0 + r * np.coasync def _check_channel(self, message, pool):
async with pool.acquire() as conn:
async with conn.cursor() as cursor:
await cursor.execute(
"SELECT ignore_channel_id FROM guild_channel_settings WHERE"""
A simple sim where Doctors put themselves on break when they get tired
Programmer Michael R. Gibbs
"""
import simpy
import random
class Doctor():
"""
Doctor that get tired
"""
def __init__(self, env, id)import multiprocessing
global globVar
globVar = 'ok'
def init_processes(gVar):
global globVar
globVar = gVar
def test(arg1):
print(arg1)
return globVar
if __name__ == "__main__" :
globVar = 'not ok'
#SequentialCommunity Discussions
Trending Discussions on pool
QUESTION
I have the wackiest bug. Like....the wackiest! If any of ya'll want to put eyes on this, awesomesauce! I really appriciate it! I am creating a survey with REACT, Redux, SQL, HML, Material-ui, and CSS.
I've created a graph of information with am4charts using data from a database. Everything is working and will show up on the page......but not on page load. What I am seeing in my console is that the page will load, it fires off my get request but doesn't return with the data fast enough (I think). By the time that the get request loads, my graph has populated with no data.
Here is the code that I have for the page that I am rendering. What is really odd is that, once my code has run, I can cut a line of code (I've been using a console log). And then the graph will render and load.
...ANSWER
Answered 2021-Jun-15 at 22:40Can you try this fix? I created new functions for some tasks.
https://codesandbox.io/s/vigorous-varahamihira-6j588?file=/src/App.js
QUESTION
I'm struggling to use the Micronaut HTTPClient for multiple calls to a third-party REST service without receiving a io.micronaut.http.client.exceptions.ReadTimeoutException
To remove the third-party dependency, the problem can be reproduced using a simple Micronaut app calling it's own service.
Example Controller:
...ANSWER
Answered 2021-Jun-15 at 09:51If this isn't going to throw an exception then I don't know what is going to.
This is caused by using blocking code within Netty's event loop.
The code over here is making a blocking request 20 times in a row which cause the machine to break. I don't know what data is coming from the client but I would never recommend to do it in this manner.
QUESTION
This question is related to Azure MSIX Build and Package task only has Release and Debug configurations
We have a WinForms project that has an MSIX installer. Manually, we can successfully create
- An MSIXBUNDLE and deploy it to Kudu
- An MSIX and deploy it to an Azure VM through a VHDX. We have manually convert the MSIX to a VHDX first
We are now trying to automate the build and release process to create the VHDX. However, we are getting a blank screen when the VHDX is mounted using a process that we have already validated. The only thing different is the build method (i.e., MSBuild versus VS Publish).
How do we create a working VHDX in Azure CI Build Pipeline?
Below is the YAML.
...ANSWER
Answered 2021-Jun-15 at 14:26Actually, there is nothing wrong with the YAML. The problem was a delay in the virtual machine loading the VHDX. In other words, wait about 5 minutes once the VHDX is mounted before trying to run the application. I am leaving this here in case anyone else runs into this issue.
QUESTION
I am trying to run a simple parallel program on a SLURM cluster (4x raspberry Pi 3) but I have no success. I have been reading about it, but I just cannot get it to work. The problem is as follows:
I have a Python program named remove_duplicates_in_scraped_data.py. This program is executed on a single node (node=1xraspberry pi) and inside the program there is a multiprocessing loop section that looks something like:
...ANSWER
Answered 2021-Jun-15 at 06:17Pythons multiprocessing package is limited to shared memory parallelization. It spawns new processes that all have access to the main memory of a single machine.
You cannot simply scale out such a software onto multiple nodes. As the different machines do not have a shared memory that they can access.
To run your program on multiple nodes at once, you should have a look into MPI (Message Passing Interface). There is also a python package for that.
Depending on your task, it may also be suitable to run the program 4 times (so one job per node) and have it work on a subset of the data. It is often the simpler approach, but not always possible.
QUESTION
I'm running the below sqlpackage command against my sqlserver:
ANSWER
Answered 2021-Jun-15 at 12:05I would recommend using /action:Script (see here) to see which actions it will perform, most likely this will give you some clue as to which flags should be set/cleared.
-- Edit
According to this old answer you can disable deploying the database properties when designing the .dacpac.
If you want to override this behaviour when publishing the .dacpac, you should probably use the ScriptDatabaseOptions property - see the whole list of switches here.
QUESTION
I have users in a Cognito user pool, some of whom are in an Administrators group. These administrators need to be allowed to read/write to a specific S3 bucket, and other users must not.
To achieve this, I assigned a role to the Administrators group which looked like this:
ANSWER
Answered 2021-Jun-15 at 12:03The solution lies in the federated identity pool's settings.
By default the identity pool will provide the IAM role that it's configured with. In other words, one of either the "unauthenticated role" or the "authenticated role" that it's set up with.
But it can be told instead to provide a role specified by the authentication provider. That's what will solve the problem here.
- In the AWS console, in Cognito, open the relevant identity pool.
- Click "Edit identity pool" (top right)
- Expand "Authentication Providers"
- Under Authenticated Role Selection, choose "Choose role from token".
That will allow Cognito to specify its own roles, and you will find that the users get the privileges of their group.
QUESTION
I have the below powershell script:
ANSWER
Answered 2021-Jun-15 at 09:18I would start with running sp_who2 on the database server to see if sqlpackage has made a connection to it, and if it's blocking on the server somewhere.
If so, you can further investigate with the SQL Server Profiler (can be found in the Tools menu of SQL Server Management Studio)
QUESTION
I need to activate the pre-ping feature for as SQLAlchemy db pool in Django Python.
ErrorWhen I set the pre_ping property to True, I get the following error which says I need to pass a dialect to the connection pool when using the pre-ping feature:
ANSWER
Answered 2021-Mar-18 at 12:21QUESTION
I'm trying to first create an empty object and then assign variables to it with values. However, when I print the object variables, I discover they are of type tuple. Why aren't they just of type str or int for example?
I'm fairly new to Python so I might be missing something obvious to some.
Code that creates the object:
...ANSWER
Answered 2021-Mar-17 at 20:10dbConfig.host = settings.DATABASES[settingName]["HOST"],
dbConfig.port = settings.DATABASES[settingName]["PORT"],
dbConfig.user = settings.DATABASES[settingName]["USER"],
dbConfig.password = settings.DATABASES[settingName]["PASSWORD"],
QUESTION
Create a database connection pool in Django. The connection pool is connected to a PostgreSQL database by using SQLAlchemy's connection pooling with django-postgrespool2.
Thrown exception'psycopg2.extensions.connection' object is not callable is thrown when running the following line of code poolConnection = dbPool.connect(). Printing the dbPool object and type displays
Database helper class which creates the connection to the PostgreSQL database and creates the connection pool:
...ANSWER
Answered 2021-Mar-09 at 07:29According to the QueuePool docs the first argument should be 'a callable function that returns a DB-API connection object'.
You've passed the result of the called function to the QueuePool object as the first argument instead of the function itself. Remove the parenthesis to solve the issue:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pool
You can use pool like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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