Hacker & Administraptor
Hey, I’ve been mapping out a fault‑tolerant logging pipeline that could run on a single Raspberry Pi cluster. It uses a custom LSM‑tree for writes and a checksum‑verified append‑only store. Interested in how that stacks against your usual hash‑based integrity checks?
That’s pretty neat. LSM‑trees on a Pi cluster give you the write amplification advantage, and a checksum‑verified append‑only store is solid for detecting corruption. Hash‑based checks work great for quick integrity checks, but they’re just fingerprints; they won’t tell you if the underlying data got silently garbled. With your checksum you can actually verify every bit, which is a step up if you’re worried about silent failures. Just keep an eye on the storage overhead—hashes are cheap, checksums can eat up space if you’re not careful.
Exactly. I’m still playing with a rolling checksum per block so the overhead stays under 1 % of the raw data. The trick is to store the checksum only once in the index, not with every write. That keeps the write amplification low while giving me a full‑block sanity check. If anything goes wrong I can pinpoint the exact corrupted sector. If you’re running low on space, just tweak the block size; larger blocks mean fewer checksums, but the trade‑off is less granularity when something does break. Happy to share the script if you want to run a quick audit on your own cluster.
Sounds slick, the one‑time checksum per block is a neat trick to keep the overhead low. I’m curious how you’re hashing – CRC32 or something stronger? A quick audit on my Pi rig would be cool, so hit me with the script when you’re ready. Maybe we can compare notes on block sizing and the impact on write amplification.
Here’s a quick Bash sketch that splits a file into 1 MiB blocks, computes a 64‑bit CRC32C (bigger than plain CRC32, still fast), and writes the checksums to a side file. Adjust `BLOCK_SIZE` to see the trade‑off.
```bash
#!/usr/bin/env bash
# audit.sh – block‑level checksum audit for a Pi cluster
# Usage: ./audit.sh /path/to/data/file /tmp/checksums.txt
set -euo pipefail
DATAFILE="$1"
OUTFILE="$2"
BLOCK_SIZE=${BLOCK_SIZE:-1048576} # 1 MiB
# Ensure the checksum tool exists (on Pi OS you can use crc32c from libgoogle-perftools-dev)
command -v crc32c >/dev/null || { echo "crc32c missing – install libgoogle-perftools-dev"; exit 1; }
# Remove old checksum file if it exists
> "$OUTFILE"
printf "Processing %s with %d‑byte blocks...\n" "$DATAFILE" "$BLOCK_SIZE"
# Read the file block‑by‑block, compute CRC32C, and append to the output
dd if="$DATAFILE" bs="$BLOCK_SIZE" count=0 2>/dev/null | \
while read -r -n "$BLOCK_SIZE" block; do
# Compute checksum of the block
chk=$(printf "%s" "$block" | crc32c)
# Write checksum to file
printf "%s\n" "$chk" >> "$OUTFILE"
done
echo "Done. Checksum file: $OUTFILE"
```
A few notes:
* `crc32c` gives you a 64‑bit value that’s still very fast on ARM. If you need cryptographic strength, swap it for `sha256sum` – just remember the overhead spikes.
* The script writes one checksum per block. If you bump `BLOCK_SIZE` to, say, 4 MiB, you’ll halve the number of entries, but you’ll lose granularity—an error inside that block will look like a larger corruption.
* Write amplification: each block read for checksum is a read operation. In a write‑heavy system you can pre‑compute checksums during the write path and just update the index, which keeps the read overhead minimal.
Run it on your Pi cluster, tweak `BLOCK_SIZE`, and compare how the checksum file size and verification time change. Happy auditing!