Batch timestamp processor
One Unix timestamp per line (seconds or milliseconds). Results show as UTC ISO strings.
| # | Input | UTC |
|---|---|---|
| 1 | — | (empty) |
Related Guides & Tutorials
// developers also readUnix Timestamp Precision Guide
Handle precision edge cases when processing millions of timestamps in batch pipelines.
Elasticsearch Timestamp Indexing
Efficiently index and query large batches of timestamped documents in Elasticsearch.
Caching Strategies for Time-Sensitive Data
Cache batch processing results using timestamp-based TTL and invalidation strategies.
Terminal Equivalent
Pipe files of epoch values through while-read loops, awk, and xargs for bulk conversion.
# Convert a list of timestamps from a file
while IFS= read -r ts; do
echo "$ts -> $(date -d @$ts '+%Y-%m-%d %H:%M:%S UTC')"
done < timestamps.txt
# Process CSV: convert timestamp column
awk -F',' 'NR>1 {
cmd = "date -d @" $2 " +\"%Y-%m-%d\""
cmd | getline date
close(cmd)
print $1 "," date "," $3
}' data.csv
# Batch convert and output to new file
cat timestamps.txt | xargs -I{} date -d @{} > dates.txtHow It Works
Batch processing timestamps is common in data migrations, analytics pipelines, and log analysis. The key is identifying the input format (seconds vs milliseconds), handling invalid values gracefully, and choosing an output format that downstream systems can consume. For large datasets (millions of rows), process in streaming fashion rather than loading all into memory.