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Prometheus Workshop

https://dgoldstein1.github.io/git-debugging-workshop/

This repo is a hands-on tutorial to become troubleshooting and debugging with git. It consists of:

  1. Hands On Learning
    1. Reverting A Pull Request
    2. Finding A Bad Commit
    3. Updating A Stale Branch
  2. Authors
  3. License

Hands On Learning

To get the deepest understanding of git and the tools it offers, we need to learn at the command line. Below are a few common situations where we have run outside the usual git flow process and we need to dig into our commit histories. Let's begin!

Reverting A Pull Request

We've all been here. It's late at night and we have a demo early in the morning. You finally solve that issue that's been driving your team crazy. You push up your branch and create a PR. You message your teammate and she quickly merges in your code just before midnight. Everyone gets a good night's sleep.

Your code haunts you in your dream that night and you realize you've made a fatal flaw in your code. You're able to get to the computer before the demo, but only have an hour and you know you can't fix the bug in that time. You know you want to 'undo' last night's merge, but how?!

You go to the github-documentation but you realized that you can't just press the 'undo' button because there have been commits since your merge last night. Oh no!!

Calm. Stillness. Let the git flow through you, young patawan. Let's start by cloning this project locally and take a look:

git clone [email protected]:dgoldstein1/revert-pr.git

The current tree looks like this:

revert-current-commit-graph

Take a second and think. What do we want our end result to look like? Simply removing our bad commit and midnight-pr branch from the tree might look enticing, e.g.:

revert-bad-commit-graph

However, this is not good git. Instead of covering up bad mistakes, it's important we signal that we identified an issue temporarily solved it by reverting our code. That gives us a readable and fluid commit history. It also keeps our teammates sane. Crucially, git functions as a linked graph; it's almost always better to add commits rather than inserting or deleting commits. The ideal git graph after reverting our pull request should look like this:

revert-ideal-commit-graph

Let's take a moment to think of what we want to do before we get to code. Remember we're not fixing the problem, we want to revert things back to what we had before we merged our midnight PR (the commit wrote out main function). Take a few minutes to play around with this on your own. Try to get your git tree to look like our ideal solution above. Note that you can visualize the current git tree with git log --graph or git log --pretty="%H %d %s" see this guide for more formatting options.

When you're ready, follow along with the below steps to revert our code:

  • checkout a new branch revert-midnight-pr off of origin/master
$ git checkout -b revert-midnight-pr origin/master
  • make the files in git equal the commit wrote out main function
# use 'git log' to get the commit hash of "wrote out main function" commit
$ git log --grep "wrote out main function"
commit 3c9977cd21601a09e51f3d8843d81f3303ba6b0e
Author: David Goldstein <[email protected]>
Date:   Wed May 1 14:12:42 2019 -0400

    wrote out main function
# reset all files in repository to that commit, note the '.'
$ git checkout 3c9977cd21601a09e51f3d8843d81f3303ba6b0e .
# make a new commit 
$ git commit -m "revert midnight pr"
  • merge these changes into master in a new commit
$ git checkout master
# merge locally so we don't mess up the remote repository
$ git merge revert-midnight-pr

At this point you should see that master has a new commit from the merge which reverts the midnight PR.

$ git log --graph
...
* commit 538b4a637ec8f2959eb8af76705757cee105d922 (HEAD -> master, revert-midnight-pr)
| Author: David Goldstein <[email protected]>
| Date:   Wed May 1 15:12:27 2019 -0400
| 
|     revert midnight pr
| 
* commit bbb2841d7d435e5c2ef509094e30c84215c5e710 (origin/master)
| Author: David Goldstein <[email protected]>
| Date:   Wed May 1 14:46:00 2019 -0400
| 
|     early morning commit
|   
*   commit bb2a1a334f603608f33e9d4cd721e2077e44cb39
|\  Merge: 3c9977c af18d8c
| | Author: David Goldstein <[email protected]>
| | Date:   Wed May 1 14:38:17 2019 -0400
| | 
| |     Merge pull request #2 from dgoldstein1/midnight-pr
| |     
| |     Midnight pr

...

And that's it! Take time to understand all the steps here because every developer will be in this situation at least once. Also note that in the wild you should use gitHub or gitLab to merge back into develop instead of merging locally and pushing to master.

Finding A Bad Commit

Possibly the most common and frustrating part of a developer's job is discovering a bug but being unable to trace its origins. git is a great starting place for this search as it allows us to quickly filter through a range of commits to find one which may be causing problems.

Let's turn to a new scenario. Let's say you're developing a new algorithm for an application. You know the algorithm has worked recently, but just yesterday somebody mentioned to you they're getting incorrect results. Let's checkout our code:

git clone [email protected]:dgoldstein1/find-bad-commit.git 

Our current commit history looks like this:

revert-bad-commit-graph

We have several commits and don't know when or where our code stopped working correctly. All we know is that the final commit not-working is not working correctly.

Let's see what our algorithm does:

$ make
gcc -o problem_14.o problem_14.c -Wall -std=c99 -w -lm # compile object
./problem_14.o # run code
922524 # output
rm -f problem_14.o # delete compiled object

As we can see, our algorithm outputs a number from pre-determined inputs. If we look at out code in problem_14.c we can see that we're answering the question in problem_14.txt, finds the longest Collatz Sequence for numbers less than 1 million.

From wikipedia we can see that the answer should be 837,799, which has 524 steps. However, the current version of our algorithm is returning 922,524, which is incorrect! Let's checkout our first commit to see if it's working there.

$ git log --grep "commit 1"
commit 725f4c6f5ab3a9226f45074608afe39a97066ad3 (HEAD -> master)
Author: David Goldstein <[email protected]>
Date:   Wed May 1 16:09:46 2019 -0400

    commit 1

$ git checkout 725f4c6f5ab3a9226f45074608afe39a97066ad3
$ make 
gcc -o problem_14.o problem_14.c -Wall -std=c99 -w -lm
./problem_14.o
837799
rm -f problem_14.o

The answer is correct, we can see that commit 1 is working. Now we know that our bug was created somewhere in between commit 1 and the commit not working. Think for a second: how would you solve this?

git bisect is a nice tool for piecing apart ranges of commits. It uses binary search to locate the commit which first created your bug. Let's configure git to start bisecting:

$ git checkout master
$ git bisect start #initialize 'bisect' mode
$ git bisect bad # commit 'not working' is bad
$ git bisect good 725f4c6f5ab3a9226f45074608afe39a97066ad3 # the "commit 1" is good
8afe39a97066ad3
Bisecting: 3 revisions left to test after this (roughly 2 steps)
[5c47d268c695c6db6669bac7f7e1ee48aaa36e0c] commit 5

We're now in 'bisect' mode. We start on commit 5 (5c47d268c695c6db6669bac7f7e1ee48aaa36e0c) since it's in the middle of the tree. Note that because the number of commits is known, and the search is binary, we can pre-compute the number of steps needed (i.e. steps = ciel(Logx2(#commit))) If you run git log, you should see that there are 5 commits between you and the initial commit. Our maximum number of steps is ciel(2) = 3 steps. Let's continue our bisecting.

If we run our algorithm on commit 5 with the command make we can see that we still don't get the right answer (837799), so let's mark "commit 5" as bad:

$ git bisect bad
Bisecting: 0 revisions left to test after this (roughly 1 step)
[d5ba6868503d2227dc817e42f47a346599b101bd] commit 3

Now it has taken us to "commit 3". Run make again. We see that we get the correct result this time (837799). Let's mark commit 3 as good:

$ git bisect good
Bisecting: 0 revisions left to test after this (roughly 0 steps)
[2f5b521253d737843b99d8096e7f7cec9e3ef437] commit 4

We can see we have 0 steps left so we're on our last step! Run make again and then git bisect good / bad accordingly. You should get the output:

2f5b521253d737843b99d8096e7f7cec9e3ef437 is the first bad commit
commit 2f5b521253d737843b99d8096e7f7cec9e3ef437
Author: David Goldstein <[email protected]>
Date:   Wed May 1 16:30:29 2019 -0400

    commit 4

:100644 100644 2caec9398a44559bdb4c93007e179856f4df5331 aa30565873cf88561b53251cbf9625e63bb424b9 M	problem_14.c

This tells us that commit 4 is the first bad commit and where our bug originates from. Let's look at the difference between commit 4 and the previous commit:

$ git diff HEAD~1 # we're currently on "commit 4", HEAD~1 refers to 1 commit behind
...
-       for (int i = 1000000; i > 500000; --i) {
+       for (int i = 1000000; i > 500000; i = i - 4) {

We see that the only difference is we decrement our loop by 4 instead of 1. That seems like it could be an issue. On your own, checkout master and change the decrementing interval back to 1. Does it work? If so than this is our only bug, if not, there could be other bugs causing issues and we should bisect on a different range of commits (fyi there aren't in this example).

One nice feature of git bisect is that it can be automated. Here's an automated example of the sequence we just went through:

# first create a script in the parent directory
$ echo '#!/bin/bash

make problem_14
./problem_14.o | grep -q "837799"' >> ../bisect_run.sh # check if answer contains 837799
$ chmod +x ../bisect_run.sh # give it permission
$ git bisect reset # leave' bisect' mode
$ git bisect start #initialize 'bisect' mode
$ git bisect bad # commit 'not working' is bad
$ git bisect good 725f4c6f5ab3a9226f45074608afe39a97066ad3 # the "commit 1" is 
$ git bisect run ../bisect_run.sh
running ../bisect_run.sh
gcc -o problem_14.o problem_14.c -Wall -std=c99 -w -lm
/home/david/dev/personal/find-bad-commit
Bisecting: 1 revision left to test after this (roughly 1 step)
[d5ba6868503d2227dc817e42f47a346599b101bd] commit 3
running ../bisect_run.sh
gcc -o problem_14.o problem_14.c -Wall -std=c99 -w -lm
/home/david/dev/personal/find-bad-commit
Bisecting: 0 revisions left to test after this (roughly 0 steps)
[2f5b521253d737843b99d8096e7f7cec9e3ef437] commit 4
running ../bisect_run.sh
gcc -o problem_14.o problem_14.c -Wall -std=c99 -w -lm
/home/david/dev/personal/find-bad-commit
2f5b521253d737843b99d8096e7f7cec9e3ef437 is the first bad commit
commit 2f5b521253d737843b99d8096e7f7cec9e3ef437
Author: David Goldstein <[email protected]>
Date:   Wed May 1 16:30:29 2019 -0400

    commit 4

:100644 100644 2caec9398a44559bdb4c93007e179856f4df5331 aa30565873cf88561b53251cbf9625e63bb424b9 M	problem_14.c
bisect run success

We end up with the same result-- that the bug originates from commit 4. As you can see, git bisect run saves more and more time as the number of commits increases. For instance, debugging 1000 commits takes only 7 maximum steps with git bisect (ciel(ln(1000)) = 10 steps)

Updating a Stale Branch

Let's turn to a new scenario. Say you're working on a new algorithm refactor but you get transferred to another project for a few months to help with a big release. When you come back, the code you were working in has completely changed and your branch is stale! This is now the git tree:

stale-branch-git-tree

Take a minute to look through this diagram and think about how you would update your branch in the wild.

The two commands git gives us to update branches git rebase and git merge. Both of these approaches will allow us to update our algorithm-refactor branch. Let's try both of these approaches to see the costs and benefits of each.

Start by cloning the repository:

git clone [email protected]:dgoldstein1/git-rebase-merge.git

Merge

According to git --help, the git merge "Join[s] two or more development histories together." In terms of our scenario, merging master into our branch would make a new commit with all the changes necessary to incorporate changes from master:

stale-branch-git-tree

Let's try this locally. Let's first look at our git tree. Open up the tree for master and algorithm refactor in two separate terminals so you can compare them side by side (git log master and git log algorithm-refactor). As you can see, algorithm-refactor has fewer commits and the two branches have diverged. This means that at some point there was a common commit between these branches, but since then both branches have gone in different directions. The most recent commit both branches share is commit 1 (To check youngest ancestor you can also run git merge-base algorithm-refactor master which returns the commit hash).

Let's try and merge, with the expectation that we will have conflicts since these branches have diverged.

$ git checkout algorithm-refactor
Auto-merging problem_1.c
CONFLICT (content): Merge conflict in problem_1.c

Fix the conflicts in problem_1.c anyway you like. Don't worry about getting the code to run if you don't want to, just poke around and remove the conflict messages (e.g. "<<<<<<<<" and ">>>>>>>>". If you want to get the code running, make some edits then run make. The answer should be 233168. Once you're done, commit your results and continue the merge

$ git add problem_1.c
$ git merge --continue
[algorithm-refactor 115ccef] Merge branch 'master' into algorithm-refactor

We're done! Run git log alorithm-refactor and git log origin/algorithm-refactor` side by side to see the changes we made.

  • git has replayed master on top of algorithm-refactor starting with the parent of their youngest shared ancestor commit 1. Note that by default github and gitlab usually squash your commits automatically before merging.
  • notice that commit 2 was appplied twice and has different commit hashes. The first one 367e909a2112725a98bad1eb1c379207eb185d96 is directly from master. The second one is a newly created commit. This is done to preserve the chronological history and the integrity of the commits on master. If you look at the timestamps between commit 1, rewrite algorithm, commit 2, and rewrite comments, you can see that they all go 'forward' in time.
  • notice there is a new commit at the top Merge branch 'master' into algorithm-refactor. Why would you need an additional commit on top of everything? This is where git merge excels. If you run git diff HEAD~1 this will show you the changes in this new merge commit. As you can see, it's the changes we implemented to resolve merge conflicts. You can also see there is a special message Merge: f6d88ce 27b1011 below the commit sha. This tells git how to relate these two branches. f6d88ce is the sha for origin/algorithim-refactor and 27b1011 is the sha for master. This way, when you end up making your pull request to merge algorithm-refactor into master, git will know automatically that it doesn't have to go further than this commit. In fact, if you run git show $(git merge-base algorithim-refactor master) again you will find the merge commit is the youngest ancestor.

Rebase

phew! A lot goes on behind the git merge command! In comparison git rebase is simpler but perhaps less elegant. Instead of fancy git SHA parsing and making intermediate commits, git rebase "Reappl[ies] commits on top of another base tip ". For our scenario, that means taking all our commits and dropping them on top of master like so:

stale-branch-rebase

As you can see commit 2 though the most recent commit becomes our new 'base' on top of the youngest common ancestory. Then our commits were reapplied. Let's try this locally:

First let's reset our algorithm branch to how it was before we did our merge above.

$ git checkout algorithm-refactor
$ git reset --hard origin/algorithm-refactor

Now let's rebase.

$ git checkout algorithm-refactor
$ git rebase master
# resolve conflicts, if you want
$ git add -A && git rebase --continue
# resolve conflicts, if you want
$ git add -A && git rebase --continue
Applying: rewrite comments

And we're done! Now let's look at the commit history of master and algorithm-refactor side by side. Notice that:

  • We had to do two conflict resolutions instead of one for the merge. Merging will always be a maximum of one conflict resolution step while rebasing will be a maximum of the number of commits you've made off of the base.
  • The commit hashes are the same as master. This is crucial and simplifies our life a lot. We and git now know that these are the same commits and there is now a clear common base.
  • The commit hashes for the algorithm-refactor branch are now different (e.g. rewrite algorithm and rewrite comments). Why? Because rebasing them to fit the shape of master fundementally changes what these commits look like.

Opinion Alert!

Here's where I give you the magic "rule of thumb" which is all you will remember when you're working on your project. But most importantly: understand and think about what you're doing with git before you do it. Try to understand git instead of passively moving through a workflow.

  • Rebasing best for keeping secondary branches (i.e. not develop or master) up to date, since the commits from the base branch is preserved.
  • Merging is good for taking secondary branches (i.e. feature/) and putting them back in a main branch
  • Squashing a merge commit removes the labels git relies on to find common ancestory.

Authors

License

This project is licensed under the MIT License - see the LICENSE.md file for details

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