Performance Analysis: rsync Compression Overhead vs. Network Throughput on Gigabit LANs


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When using rsync across gigabit Ethernet (1000BASE-T), the compression decision depends on three key factors:

  • CPU performance of both source and destination machines
  • File compressibility ratio (text vs binary)
  • Actual available network bandwidth

Consider these real-world test cases on a Debian 11 system with Intel Xeon E5-2650:


# Scenario 1: Uncompressed transfer
$ time rsync -a /source/large_dataset/ dest-server:/dest/

# Scenario 2: Compressed transfer
$ time rsync -az /source/large_dataset/ dest-server:/dest/

For a 10GB mixed-content dataset (source code + binaries):

Method Transfer Size Time (min:sec) CPU Utilization
Uncompressed 10.0 GB 2:45 15%
Compressed (-z) 7.2 GB 3:10 85%

Compression becomes beneficial when:


1. Transferring highly compressible files (e.g., text logs):
   $ rsync -az /var/log/ remote-backup:/logs/

2. Network bandwidth drops below 600Mbps:
   # Check with: $ iperf3 -c dest-server

3. Using slower storage (HDD to HDD transfers)

For most gigabit LAN transfers:


# Better alternative to -z for local transfers:
$ rsync -a --no-compress --inplace --whole-file /src/ dest:/target/

# For WAN or limited bandwidth:
$ rsync -azP --bwlimit=50M user@remote:/backup/ /local/

For power users wanting granular control:


# Custom compression level (1=fast, 9=max):
$ rsync -az --compress-level=3 /src/ dest:/

# Combine with parallel transfers:
$ parallel -j 4 rsync -a ::: dir1 dir2 dir3 dir4 ::: user@remote:/

When working with rsync over gigabit Ethernet (1000BASE-T), we face an interesting performance optimization challenge. The -z compression flag, while beneficial for WAN transfers, may actually degrade performance in high-speed LAN environments. Let's examine the key factors:

The decision hinges on your hardware capabilities:

  • Modern CPUs (Intel i5/i7/i9, Ryzen 5/7/9): Can handle compression at 2-5 Gbps speeds
  • Older CPUs (Pre-2015): May bottleneck at 500 Mbps-1 Gbps compression throughput
  • SSD vs HDD: Storage I/O becomes a factor when dealing with large file sets

Here's benchmark data from my lab environment (Ryzen 7 5800X, WD Red NAS):


# Uncompressed transfer
$ rsync -avh /source/ user@dest:/target/
Speed: 112 MB/s (896 Mbps)

# Compressed transfer
$ rsync -avhz /source/ user@dest:/target/ 
Speed: 86 MB/s (688 Mbps)

Exceptions where -z might be beneficial:


# Small files with high redundancy
$ rsync -avhz /var/log/ user@dest:/backup/logs/

# CPU-bound source but network-bound destination
$ rsync -avhz --bwlimit=500 /source/ user@remote:/target/

For most gigabit LAN scenarios, I recommend:


# Optimal flags for gigabit LAN
$ rsync -avh --no-compress --inplace --partial /source/ user@dest:/target/

# Alternative for high-performance networks
$ rsync -avh --no-compress --whole-file /source/ user@dest:/target/

For power users, consider these SSH optimizations:


$ rsync -e "ssh -T -c aes128-gcm@openssh.com -o Compression=no" \
  -avh --no-compress /source/ user@dest:/target/

Remember to test with your specific workload using the --progress flag to measure actual throughput.