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This question already has an answer here: Committing transactions while executing a postgreql Function 3 answers I have a PostgreSQL stored procedure which loops over a very large list, and makes changes to some of its members using UPDATE . Is there a way to commit these changes per iteration, not at the end of the function execution? It would allow me to run the function for shorts periods of time, making small changes at each run. Thanks, Adam No, it's currently not supported to open or close transactions inside a stored procedure, no. If it did, btw, committing after each iteration would

I have a repo on github that I am working out of and I often have comments on my .py files that starts with the " # TODO: " to keep a personal note of things to be done. # TODO: do this <code> I obviously do not want that to go in a commit. I want GitHub to search all the files when I am about to commit them and not include lines that start with # TODO: Does Git already do this? I know certain version control like perforce already have this feature. Any thoughts? VonC I want GitHub to search all the files when I am about to commit them and not include lines that start with # TODO: GitHub

I am using RabbitVcs client for svn on Ubuntu Linux and it doesn't show me the 'Commit' command when i right click on the Working Copy folder. I am trying to bring a project under Version Control system that did not use source control to manage code at the start. The project has a few folders with code files that are either successive versions of the same code with changes or completely new code files that did not exist in the previous folder such as a new feature/functionality addition to code. On a suggestion provided here, what i did to accomplish the task was that i imported the oldest

The documentation for the Pandas function to_sql() available for DataFrame objects (see to_sql() documentation ) does not state that a commit() call on the connection is needed (or recommended) to persist the update. Can I safely assume that DataFrame.to_sql('table_name', con) will always automatically commit the changes (like in: con.commit() )? Yes, at the end of the day it will be commited automatically. Pandas calls SQLAlchemy method executemany (for SQL Alchemy connections): conn.executemany(self.insert_statement(), data_list) for SQLite connection : def run_transaction(self): cur = self

I'm confused about my github 52 week participation graphs. Most of the projects that I have on there only have one author (me). However the "commits by owner" on the 52 week participation are zero, even though all my commits are by me. My Page: https://github.com/yule It's probably that the email addresses in the Author fields of the commits in those projects don't match any of the email addresses associated with your GitHub account. If you go to "Account Settings" there's an option called "Email Addresses" where you can add additional email addresses that are associated with you, so GitHub

This may be a silly question, but when you commit to Git for Heroku, does it show up anywhere on Github or is there any way to have it show up that way? Or where are the commits being stored? I wasn't able to find anywhere online to know if this was possible or not. The closest and most relavent I did find on Stack was this: Heroku + Github Integration Thanks! Yes, if you push your code to github then you'll see the log messages - Heroku is after all just a remote git repo, just like github is. If you push your code to Heroku, it will not show up in Github unless you do the following. If you