Menene Git LFS kuma yaushe za ka bukaci shi?

Question

Accepted Answer

**Git LFS** (Large File Storage) shine haɗin gida don sarrafa **manyan fayilolin binary** (videos, datasets, design assets, manyan binaries) cikin kyau a cikin Git. Git an yi shi don rubutu/source code kuma yana karewa rashin kyau da manyan binaries, don haka LFS yana adana su daban-daban yayin da ake ajiye alamomi marke-marke a cikin repository.

## Matsalar: Git da manyan binaries

```text
Git stores every version of every file in its history (the full content):
  → LARGE BINARY files (videos, datasets, PSDs, big binaries) bloat the repo ENORMOUSLY:
    - every change stores another full copy (binaries don't diff well)
    - the repo and EVERY clone become huge and slow (clone/fetch download all history)
    - history can't be shrunk easily (the large blobs are permanent)
→ Git is great for source code (text, diffable), POOR for large binaries.
```

## Yadda Git LFS ke aiki

```text
Git LFS replaces large files in the repo with small POINTER files (a reference/hash),
and stores the ACTUAL large files on a separate LFS server:
  → the Git repo stays small (just pointers in history)
  → the actual large files are downloaded on demand (only the versions you need)
→ You work normally; LFS transparently swaps pointers ↔ real files.
```

```bash
git lfs install                    # set up LFS
git lfs track "*.psd"             # track a file type with LFS (records in .gitattributes)
git lfs track "*.mp4"
git add .gitattributes
# now large files of these types go to LFS automatically (pointers in Git)
git lfs ls-files                   # list LFS-tracked files
```

## Lokacin da za a yi amalin shi

```text
✓ Repos with large binaries: media (video/audio/images), datasets, game assets,
  design files (PSD/Sketch), large compiled artifacts, ML models
✗ Pure source code repos don't need it (Git handles text well)
Alternatives: don't store large artifacts in Git at all (use artifact stores, S3,
  package registries) — sometimes the better choice.
```

## Me yasa ya buƙata

Janyo Game Git LFS shine ilimi na babbar matakin gida don **sarrafa manyan fayilolin binary a cikin Git**, cikakken matsala ga wasu ayyuka, don haka yana da aiki mai amfani.

Matsalar tushe ita ce **Git ba ya sarrafa manyan binaries da kyau**: domin Git yana ajiye kowane sigar kowane fayili a cikin tarihinta kuma binaries ba sa bambanta sosai (kowane canji yana ajiye wani cikakkiyar kwafi), manyan fayilolin binary (videos, datasets, design assets, manyan abubuwan da aka gina) **suna buɓuga repository sosai** — yana sa repo da kowane clone ya zama babbar da jajere, inda kumburin kusan gida kuma sakowa ba a iya cirewa.

Hai matsala na gaskiya, wani lokaci ne watau matsala masu nauyi para ga ayyuka masu haɗi da media, datasets, game assets, design fayilolin, ko ML models. **Git LFS** yana warware shi ta hanyar ajiye manyan fayilolin **daban-daban** (a kan LFS server) yayin da ake ajiye fayilolin **alamomi** masu nauyi a cikin Git history — don haka repository ta rame da marke-marke, tare da manyan fayilolin da aka kira a bukatar (fayilolin da ake bukaƙa kawai).

Janyo ta yadda ya aiki (alamomi a cikin Git, ainihin fayilolin a cikin LFS, maye-maye marke) da yadda za a yi amalin shi (wajehu nau'oin fayilolin ta hanyar `.gitattributes`) shine ilimi mai aiki para ga ayyuka da ke bukaƙar shi.
\'sama dai mahimmancin haka shi ne jiha kan **lokacin da za a yi amalin shi** (repos masu manyan binaries) kaɗai lokacin da ba a bukaci shi (tufa source code kawai, inda Git ke sarrafa rubutu sosai) da sanin **madadin" (wani lokaci ba a adana manyan artifacts a cikin Git kwata-kwata — amfani da artifact stores, S3, ko package registries — shine babbar zaɓi).

Hai yana nuna tsararren shawarar kuɗe game da sarrafa manyan fayilolin.

Domin wasu ayyuka suna fama sosai da manyan binaries suna buɓuga Git (matsala na gaskiya, matsala mai tasiri), kuma domin Git LFS (ko madadin) shine shirye-shiryen — adana repos tsaroki yayin da ake sarrafa manyan fayilolin — janyo ta Git LFS, matsalar da ya warware ta, yadda ya aiki, kuma yaushe za a yi amalin shi kaɗai madadin"— shine ilimi na babbar matakin gida don sarrafa repositories masu manyan fayilolin sosai, jami'a mai amfani para ga ayyuka masu haɗi da media, data, ko manyan assets.