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Now that you know **how to use InfluxDB** to store your data, let's explore how to get it back out! InfluxDB uses its own SQL-like query language, called InfluxQL. It's designed to be intuitive and easy to learn. Let's look at the basics. The most common query is `SELECT`. You can use `SELECT` to fetch data from your measurements. For instance, to get the load average from the `cpu_usage` measurement, you would run a query like: `SELECT load_average FROM cpu_usage`. The query will return a table with the `load_average` value and the timestamp for each data point. You can also specify multiple fields in your `SELECT` statement: `SELECT load_average, idle_time FROM cpu_usage`. The `WHERE` clause is super important for filtering your data. You can filter data based on time ranges, tags, and field values. For example, to get the CPU usage from the last hour, you would use: `SELECT load_average FROM cpu_usage WHERE time > now() - 1h`. You can also filter based on tags: `SELECT load_average FROM cpu_usage WHERE host='server1'`. The `GROUP BY` clause is invaluable for aggregating your data. You can use it to calculate statistics, such as averages, sums, and counts over different time intervals or based on tags. For instance, to calculate the average load average per host, you'd do: `SELECT mean(load_average) FROM cpu_usage GROUP BY host`.
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