LogsQL – opinionated query language for logs
I don't like the existing query languages for Elasticsearch and Grafana Loki, because they are too awkward to use for typical logs' investigation cases. So I designed new query language - LogsQL - and wrote reference implementation for it as a part of VictoriaLogs - an open source database for logs. LogsQL is based on the following principles: - Simplicity. It is easy to write typical queries over logs in it. For example, a single word `error` is a valid LogsQL query, which returns all the logs with the `error` word. Another example is `_time:5m error`, which returns all the logs with the…
In plain words
LogsQL is a query language designed for searching and analyzing logs in VictoriaLogs, an open-source log database. It aims to simplify log investigation by using plain-language syntax—a single word like "error" returns all logs containing that term, while filters like "_time:5m error" narrow results to specific timeframes. The language supports composable operations similar to Unix pipes, allowing users to filter, transform, and calculate statistics over log data. It is built for developers and engineers who find existing query languages for Elasticsearch and Grafana Loki unnecessarily complex for typical log analysis tasks.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I don't like the existing query languages for Elasticsearch and Grafana Loki, because they are too awkward to use for typical logs' investigation cases. So I designed new query language - LogsQL - and wrote reference implementation for it as a part of VictoriaLogs - an open source database for logs. LogsQL is based on the following principles: - Simplicity. It is easy to write typical queries over logs in it. For example, a single word `error` is a valid LogsQL query, which returns all the logs with the `error` word. Another example is `_time:5m error`, which returns all the logs with the 'error' word over the last 5 minutes. - Composable building blocks similar to Unix pipes, which allow powerful filtering, transforming and calculating stats over the selected logs. For example, `_time:5m error | stats count() as rows` returns the number of logs with the `error` word over the last 5 minutes. - Readability. Typical LogsQL queries must be easy to read and understand even for persons unfamiliar with it. Take a look at LogsQL docs [1] and try using VictoriaLogs [2] in production. If you like Unix way and KISS design principle, then you'll enjoy LogsQL :) [1] https://docs.victoriametrics.com/victorialogs/logsql/ [2] https://docs.victoriametrics.com/victorialogs/
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