# **The Complete Rsync Guide: Mastering File Synchronization** Rsync (*Remote Synchronization*) is one of the most powerful and efficient tools for copying and synchronizing files locally or across networks. It’s widely used for backups, mirroring, and deploying files efficiently by only transferring changes. This guide covers: ✔ **Basic to advanced rsync usage** ✔ **Trailing slash rules (critical!)** ✔ **Local & remote sync (SSH)** ✔ **Exclusions, deletions, and permissions** ✔ **Performance optimization** ✔ **Real-world examples & scripts** --- ## **1. Installation & Basic Usage** ### **Installation** - **Linux (Debian/Ubuntu)**: ```sh sudo apt install rsync ``` - **Linux (RHEL/CentOS)**: ```sh sudo yum install rsync ``` - **macOS**: ```sh brew install rsync # via Homebrew ``` - **Windows**: - Use **WSL (Windows Subsystem for Linux)** - Or **cwRsync** (native Windows port) ### **Basic Command Structure** ```sh rsync [OPTIONS] SOURCE DESTINATION ``` - **`SOURCE`**: The files/folders to copy. - **`DESTINATION`**: Where to copy them. --- ## **2. Critical: Trailing Slash Rules** The **trailing slash (`/`)** changes behavior drastically: | Command | Effect | |---------|--------| | `rsync /source /dest` | Copies **entire `/source` folder** into `/dest/source` | | `rsync /source/ /dest` | Copies **only contents** of `/source/` into `/dest/` | **Example:** ```sh rsync -a ~/photos/ /backup/ # Copies files inside ~/photos/ to /backup/ rsync -a ~/photos /backup/ # Creates /backup/photos/ with all files inside ``` **⚠ Always test with `-n` (dry run) first!** --- ## **3. Essential Rsync Options** | Option | Meaning | |--------|---------| | `-a` | Archive mode (recursive + preserve permissions) | | `-v` | Verbose (show progress) | | `-z` | Compress during transfer | | `-h` | Human-readable file sizes | | `-P` | Show progress + resume interrupted transfers | | `--delete` | Delete files in destination not in source | | `-n` | Dry run (simulate without copying) | | `-e ssh` | Use SSH for remote transfers | --- ## **4. Local & Remote File Syncing** ### **Copy Locally** ```sh rsync -avh /source/folder/ /destination/ ``` ### **Copy to Remote Server (Push)** ```sh rsync -avzP -e ssh /local/path/ user@remote-server:/remote/path/ ``` ### **Copy from Remote Server (Pull)** ```sh rsync -avzP -e ssh user@remote-server:/remote/path/ /local/path/ ``` --- ## **5. Advanced Usage** ### **Exclude Files/Folders** ```sh rsync -av --exclude='*.tmp' --exclude='cache/' /source/ /dest/ ``` Or use an **exclude file** (`exclude-list.txt`): ```sh rsync -av --exclude-from='exclude-list.txt' /source/ /dest/ ``` ### **Delete Extraneous Files (`--delete`)** ```sh rsync -av --delete /source/ /dest/ # Removes files in dest not in source ``` ### **Limit Bandwidth (e.g., 1MB/s)** ```sh rsync -avz --bwlimit=1000 /source/ user@remote:/dest/ ``` ### **Partial Transfer Resume** ```sh rsync -avzP /source/ user@remote:/dest/ # -P allows resuming ``` --- ## **6. Real-World Examples** ### **1. Backup Home Directory** ```sh rsync -avh --delete --exclude='Downloads/' ~/ /backup/home/ ``` ### **2. Mirror a Website (Excluding Cache)** ```sh rsync -avzP --delete --exclude='cache/' user@webserver:/var/www/ /local/backup/ ``` ### **3. Sync Large Files with Bandwidth Control** ```sh rsync -avzP --bwlimit=5000 /big-files/ user@remote:/backup/ ``` --- ## **7. Performance Tips** - **Use `-z`** for compression over slow networks. - **Use `--partial`** to keep partially transferred files. - **Avoid `-a` if not needed** (e.g., `-rlt` for lightweight sync). - **Use `rsync-daemon`** for frequent large transfers. --- ## **8. Common Mistakes & Fixes** | Mistake | Fix | |---------|-----| | Accidentally reversing source/dest | **Always test with `-n` first!** | | Forgetting trailing slash | **Check paths before running!** | | `--delete` removing needed files | **Use `--dry-run` before `--delete`** | | Permission issues | Use `--chmod` or `sudo rsync` | --- ## **9. Scripting & Automation** ### **Cron Job for Daily Backup** ```sh 0 3 * * * rsync -avz --delete /important-files/ user@backup-server:/backup/ ``` ### **Logging Rsync Output** ```sh rsync -avzP /source/ /dest/ >> /var/log/rsync.log 2>&1 ``` --- ## **Final Thoughts** Rsync is **incredibly powerful** once mastered. Key takeaways: ✅ **Trailing slash (`/`) matters!** ✅ **Use `-a` for backups, `-z` for slow networks.** ✅ **Test with `-n` before `--delete`.** ✅ **Automate with cron for scheduled syncs.** Want even deeper control? Explore `rsync --daemon` for server setups! 🚀 --- The **multi-stream transfer** technique (parallel rsync) is extremely valuable in specific high-performance scenarios where you need to maximize throughput or overcome certain limitations. Here are the key use cases where this shines: --- ### **1. Syncing Millions of Small Files** - **Problem**: Rsync's single-threaded nature becomes a bottleneck with many small files (e.g., a directory with 500,000 tiny log files). - **Solution**: Parallel transfers reduce overhead by processing multiple files simultaneously. - **Example**: ```bash find /var/log/ -type f -print0 | xargs -0 -n1 -P8 -I{} rsync -a {} backup-server:/logs/ ``` *(8 parallel processes for log files)* --- ### **2. High-Latency Network Transfers** - **Problem**: On high-latency connections (e.g., cross-continent), single-threaded rsync wastes bandwidth waiting for acknowledgments. - **Solution**: Parallel streams saturate the pipe by keeping multiple TCP connections busy. - **Example**: ```bash find /data/ -type f -size +1M -print0 | xargs -0 -n1 -P4 -I{} rsync -az {} user@remote:/backup/ ``` *(Focuses on larger files with 4 parallel streams)* --- ### **3. Maximizing SSD/NVMe I/O** - **Problem**: Modern storage (SSDs/NVMe) can handle thousands of IOPS, but single-threaded rsync can't utilize full I/O bandwidth. - **Solution**: Parallel processes exploit concurrent disk reads/writes. - **Example**: ```bash cd /src && find . -type f -print0 | xargs -0 -n1 -P16 -I{} rsync -a ./{} /dest/{} ``` *(16 threads for NVMe arrays)* --- ### **4. Cloud Storage Sync (S3/Blob)** - **Problem**: Cloud storage APIs often throttle single connections but allow higher aggregate throughput. - **Solution**: Parallel uploads bypass per-connection limits. - **Example** (with `rclone` or `s3cmd` in parallel): ```bash find /data/ -type f | parallel -j10 s3cmd put {} s3://bucket/{} ``` --- ### **5. Large Scientific Datasets (HPC)** - **Problem**: Syncing multi-TB datasets with complex directory trees. - **Solution**: Split workload across directory levels. - **Example**: ```bash # Sync top-level dirs in parallel find /dataset/ -maxdepth 1 -mindepth 1 -type d | parallel -j4 rsync -av {} remote:/dataset/ ``` --- ### **Technical Considerations** 1. **CPU vs. Network Tradeoff**: - More threads increase CPU usage but improve throughput. - Ideal thread count = `(Network Bandwidth in Mbps) / (Single-Thread Speed in Mbps)` 2. **Avoid File Collisions**: ```bash # Use subdirs to prevent conflicts find /src/ -type f | parallel -j8 rsync -a {} remote:/dest/{/.}/ ``` 3. **Progress Monitoring**: Use `pv` to track overall progress: ```bash find /src/ -type f | pv -l | parallel -j8 rsync -a {} /dest/ ``` --- ### **When NOT to Use Parallel Rsync** - **Small file counts** (<1,000 files) – overhead outweighs benefits - **Spinning HDDs** – random I/O thrashing may slow transfers - **Rate-limited destinations** (e.g., APIs with strict QPS limits) --- ### **Alternative Tools** For extreme cases, consider: - [`fpart`](https://github.com/martymac/fpart) + `parallel` (file partitioning) - [`gsutil -m`](https://cloud.google.com/storage/docs/gsutil/addlhelp/ParallelCompositeUploads) (Google Cloud optimized) - [`aria2c`](https://aria2.github.io/) (multi-protocol downloader) --- ### **Real-World Benchmark** ```bash # Single-threaded time rsync -av /data/ remote:/backup/ # 45 MB/s # Parallel (16 threads) time find /data/ -type f -print0 | xargs -0 -n1 -P16 -I{} rsync -a {} remote:/backup/ # 220 MB/s ``` *(Example from a 10Gbps link with NVMe storage)* --- Parallel rsync unlocks **order-of-magnitude speedups** in the right scenarios. Test with varying `-P` values to find your system's sweet spot! 🚀