logslice

Fast structured log filter and time-range extractor for large log files.

Installation

go install github.com/yourusername/logslice@latest

Usage

Extract logs within a time range:

logslice --from "2024-01-15T08:00:00Z" --to "2024-01-15T09:00:00Z" --file app.log

Filter by log level and output as JSON:

logslice --level error --from "2024-01-15T08:00:00Z" --file app.log --format json

Pipe from stdin:

cat app.log | logslice --level warn --from "2024-01-15T08:00:00Z"

Flags

Flag	Description	Default
--file	Path to log file	stdin
--from	Start of time range (RFC3339)	—
--to	End of time range (RFC3339)	now
--level	Filter by log level (info, warn, error)	all
--format	Output format: text or json	text
--field	Filter by arbitrary key=value field	—

Example Output

2024-01-15T08:23:11Z ERROR service=auth msg="invalid token" user_id=42
2024-01-15T08:45:02Z ERROR service=db msg="connection timeout" retry=3

Performance

logslice uses binary search on sorted log files to jump directly to the target time range, making it efficient even on multi-gigabyte log files.

License

MIT © 2024 yourusername