aggregate_window:
  -
    code: |
      ```js
      data
          |> aggregateWindow(every: 20m, fn: mean)
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:00:00Z | 250    |
      | 2020-01-01T00:04:00Z | 160    |
      | 2020-01-01T00:12:00Z | 150    |
      | 2020-01-01T00:19:00Z | 220    |
      | 2020-01-01T00:32:00Z | 200    |
      | 2020-01-01T00:51:00Z | 290    |
      | 2020-01-01T01:00:00Z | 340    |
    output: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:20:00Z | 195    |
      | 2020-01-01T00:40:00Z | 200    |
      | 2020-01-01T01:00:00Z | 290    |
      | 2020-01-01T01:20:00Z | 340    |

cumulative_sum:
  -
    code: |
      ```js
      data
          |> cumulativeSum()
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | 1      |
      | 2020-01-01T00:02:00Z | 2      |
      | 2020-01-01T00:03:00Z | 1      |
      | 2020-01-01T00:04:00Z | 3      |
    output: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | 1      |
      | 2020-01-01T00:02:00Z | 3      |
      | 2020-01-01T00:03:00Z | 4      |
      | 2020-01-01T00:04:00Z | 7      |

fill_null:
  -
    code: |
      ```js
      data
          |> fill(usePrevious: true)
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | null   |
      | 2020-01-01T00:02:00Z | 0.8    |
      | 2020-01-01T00:03:00Z | null   |
      | 2020-01-01T00:04:00Z | null   |
      | 2020-01-01T00:05:00Z | 1.4    |
    output: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | null   |
      | 2020-01-01T00:02:00Z | 0.8    |
      | 2020-01-01T00:03:00Z | 0.8    |
      | 2020-01-01T00:04:00Z | 0.8    |
      | 2020-01-01T00:05:00Z | 1.4    |
  -
    code: |
      ```js
      data
          |> fill(value: 0.0)
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | null   |
      | 2020-01-01T00:02:00Z | 0.8    |
      | 2020-01-01T00:03:00Z | null   |
      | 2020-01-01T00:04:00Z | null   |
      | 2020-01-01T00:05:00Z | 1.4    |
    output: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | 0.0    |
      | 2020-01-01T00:02:00Z | 0.8    |
      | 2020-01-01T00:03:00Z | 0.0    |
      | 2020-01-01T00:04:00Z | 0.0    |
      | 2020-01-01T00:05:00Z | 1.4    |

first_last:
  -
    code: |
      ```js
      data
          |> first()
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | 1.0    |
      | 2020-01-01T00:02:00Z | 1.0    |
      | 2020-01-01T00:03:00Z | 2.0    |
      | 2020-01-01T00:04:00Z | 3.0    |
    output: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | 1.0    |
  -
    code: |
      ```js
      data
          |> last()
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | 1.0    |
      | 2020-01-01T00:02:00Z | 1.0    |
      | 2020-01-01T00:03:00Z | 2.0    |
      | 2020-01-01T00:04:00Z | 3.0    |
    output: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:04:00Z | 3.0    |

group:
  -
    code: |
      ```js
      data
          |> group(columns: ["host"], mode: "by")
      ```
    input: |
      | _time                | host  | _value |
      |:-----                |:----: | ------:|
      | 2020-01-01T00:01:00Z | host1 | 1.0    |
      | 2020-01-01T00:01:00Z | host2 | 2.0    |
      | 2020-01-01T00:02:00Z | host1 | 1.0    |
      | 2020-01-01T00:02:00Z | host2 | 3.0    |
    output: |
      | _time                | host  | _value |
      |:-----                |:----: | ------:|
      | 2020-01-01T00:01:00Z | host1 | 1.0    |
      | 2020-01-01T00:02:00Z | host1 | 1.0    |

      | _time                | host  | _value |
      |:-----                |:----: | ------:|
      | 2020-01-01T00:01:00Z | host2 | 2.0    |
      | 2020-01-01T00:02:00Z | host2 | 3.0    |

histogram:
  -
    code: |
      ```js
      data
          |> histogram(
              column: "_value",
              upperBoundColumn: "le",
              countColumn: "_value",
              bins: [100.0, 200.0, 300.0, 400.0],
          )
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:00:00Z | 250.0  |
      | 2020-01-01T00:01:00Z | 160.0  |
      | 2020-01-01T00:02:00Z | 150.0  |
      | 2020-01-01T00:03:00Z | 220.0  |
      | 2020-01-01T00:04:00Z | 200.0  |
      | 2020-01-01T00:05:00Z | 290.0  |
      | 2020-01-01T01:00:00Z | 340.0  |
    output: |
      | le    | _value |
      |:--    | ------:|
      | 100.0 | 0.0    |
      | 200.0 | 3.0    |
      | 300.0 | 6.0    |
      | 400.0 | 7.0    |

increase:
  -
    code: |
      ```js
      data
          |> increase()
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | 1      |
      | 2020-01-01T00:02:00Z | 2      |
      | 2020-01-01T00:03:00Z | 8      |
      | 2020-01-01T00:04:00Z | 10     |
      | 2020-01-01T00:05:00Z | 0      |
      | 2020-01-01T00:06:00Z | 4      |
    output: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:02:00Z | 1      |
      | 2020-01-01T00:03:00Z | 7      |
      | 2020-01-01T00:04:00Z | 9      |
      | 2020-01-01T00:05:00Z | 9      |
      | 2020-01-01T00:06:00Z | 13     |

interpolate_linear:
  -
    code: |
      ```js
      import "interpolate"

      data
          |> interpolate.linear(every: 1d)
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2021-01-01T00:00:00Z | 10.0   |
      | 2021-01-02T00:00:00Z | 20.0   |
      | 2021-01-04T00:00:00Z | 40.0   |
      | 2021-01-05T00:00:00Z | 50.0   |
      | 2021-01-08T00:00:00Z | 80.0   |
      | 2021-01-09T00:00:00Z | 90.0   |
    output: |
      | _time                | _value |
      |:-----                | ------:|
      | 2021-01-01T00:00:00Z | 10.0   |
      | 2021-01-02T00:00:00Z | 20.0   |
      | 2021-01-04T00:00:00Z | 40.0   |
      | 2021-01-05T00:00:00Z | 50.0   |
      | 2021-01-06T00:00:00Z | 60.0   |
      | 2021-01-07T00:00:00Z | 70.0   |
      | 2021-01-08T00:00:00Z | 80.0   |
      | 2021-01-09T00:00:00Z | 90.0   |

join-new:
  -
    code: |
      ```js
      import "join"
      import "sql"

      left =
          from(bucket: "example-bucket-1")
              |> range(start: "-1h")
              |> filter(fn: (r) => r._measurement == "example-m")
              |> filter(fn: (r) => r._field == "example-f")
              |> drop(columns: ["_measurement", "_field"])

      right =
          sql.from(
              driverName: "postgres",
              dataSourceName: "postgresql://username:password@localhost:5432",
              query: "SELECT * FROM example_table",
          )

      join.inner(
          left: left |> group(),
          right: right,
          on: (l, r) => l.sensorID == r.ID,
          as: (l, r) => ({l with expired: r.expired}),
      )
          |> group(columns: ["_time", "_value"], mode: "except")
      ```
    input: |
      ###### left
      | _time                | sensorID | _value |
      |:-----                | :------- | ------:|
      | 2020-01-01T00:01:00Z | 1234     | 1      |
      | 2020-01-01T00:02:00Z | 1234     | 2      |
      | 2020-01-01T00:03:00Z | 1234     | 1      |
      | 2020-01-01T00:04:00Z | 1234     | 3      |

      | _time                | sensorID | _value |
      |:-----                | :------- | ------:|
      | 2020-01-01T00:01:00Z | 5678     | 2      |
      | 2020-01-01T00:02:00Z | 5678     | 5      |
      | 2020-01-01T00:03:00Z | 5678     | 1      |
      | 2020-01-01T00:04:00Z | 5678     | 8      |

      ###### right
      | ID   | expired |   serviced |
      |:---- | :------ | ---------: |
      | 1234 | false   | 2022-01-01 |
      | 5678 | true    | 2022-01-01 |
    output: |
      | _time                | sensorID | _value | expired |
      | :------------------- | :------- | -----: | :------ |
      | 2020-01-01T00:01:00Z | 1234     |      1 | false   |
      | 2020-01-01T00:02:00Z | 1234     |      2 | false   |
      | 2020-01-01T00:03:00Z | 1234     |      1 | false   |
      | 2020-01-01T00:04:00Z | 1234     |      3 | false   |

      | _time                | sensorID | _value | expired |
      | :------------------- | :------- | -----: | :------ |
      | 2020-01-01T00:01:00Z | 5678     |      2 | true    |
      | 2020-01-01T00:02:00Z | 5678     |      5 | true    |
      | 2020-01-01T00:03:00Z | 5678     |      1 | true    |
      | 2020-01-01T00:04:00Z | 5678     |      8 | true    |

join:
  -
    code: |
      ```js
      t1 = from(bucket: "example-bucket")
          |> range(start: 2020-01-01T00:00:00Z)
          |> filter(fn: (r) => r.m == "foo")

      t2 = from(bucket: "example-bucket")
          |> range(start: 2020-01-01T00:00:00Z)
          |> filter(fn: (r) => r.m == "bar")
          
      join(tables: {t1: t1, t2: t2}, on: ["_time"])
      ```
    input: |
      ###### t1
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | 1      |
      | 2020-01-01T00:02:00Z | 2      |
      | 2020-01-01T00:03:00Z | 1      |
      | 2020-01-01T00:04:00Z | 3      |
      ###### t2
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | 5      |
      | 2020-01-01T00:02:00Z | 2      |
      | 2020-01-01T00:03:00Z | 3      |
      | 2020-01-01T00:04:00Z | 4      |
    output: |
      | _time                | _value_t1 | _value_t2 |
      |:-----                | ---------:| ---------:|
      | 2020-01-01T00:01:00Z | 1         | 5         |
      | 2020-01-01T00:02:00Z | 2         | 2         |
      | 2020-01-01T00:03:00Z | 1         | 3         |
      | 2020-01-01T00:04:00Z | 3         | 4         |

map_math:
  -
    code: |
      ```js
      data
          |> map(fn: (r) => ({ r with _value: r._value * r._value }))
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | 2      |
      | 2020-01-01T00:02:00Z | 4      |
      | 2020-01-01T00:03:00Z | 3      |
      | 2020-01-01T00:04:00Z | 5      |
    output: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | 4      |
      | 2020-01-01T00:02:00Z | 16     |
      | 2020-01-01T00:03:00Z | 9      |
      | 2020-01-01T00:04:00Z | 25     |

median:
  -
    code: |
      ```js
      data
          |> median()
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | 1.0    |
      | 2020-01-01T00:02:00Z | 1.0    |
      | 2020-01-01T00:03:00Z | 2.0    |
      | 2020-01-01T00:04:00Z | 3.0    |
    output: |
      | _value |
      |:------:|
      | 1.5    |

moving_average:
  -
    code: |
      ```js
      data
          |> movingAverage(n: 3)
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | 1.0    |
      | 2020-01-01T00:02:00Z | 1.2    |
      | 2020-01-01T00:03:00Z | 1.8    |
      | 2020-01-01T00:04:00Z | 0.9    |
      | 2020-01-01T00:05:00Z | 1.4    |
      | 2020-01-01T00:06:00Z | 2.0    |
    output: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:03:00Z | 1.33   |
      | 2020-01-01T00:04:00Z | 1.30   |
      | 2020-01-01T00:05:00Z | 1.36   |
      | 2020-01-01T00:06:00Z | 1.43   |
  -
    code: |
      ```js
      data
          |> timedMovingAverage(every: 2m, period: 4m)
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | 1.0    |
      | 2020-01-01T00:02:00Z | 1.2    |
      | 2020-01-01T00:03:00Z | 1.8    |
      | 2020-01-01T00:04:00Z | 0.9    |
      | 2020-01-01T00:05:00Z | 1.4    |
      | 2020-01-01T00:06:00Z | 2.0    |
    output: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:02:00Z | 1.000  |
      | 2020-01-01T00:04:00Z | 1.333  |
      | 2020-01-01T00:06:00Z | 1.325  |
      | 2020-01-01T00:06:00Z | 1.150  |

percentages:
  -
    code: |
      ```js
      data
        |> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value")
        |> map(
            fn: (r) => ({
                _time: r._time,
                _field: "used_percent",
                _value: float(v: r.used) / float(v: r.total) * 100.0,
            }),
        )
      ```
    input: |
      | _time                | _field  | _value |
      |:-----                |:------: | ------:|
      | 2020-01-01T00:00:00Z | used    | 2.5    |
      | 2020-01-01T00:00:10Z | used    | 3.1    |
      | 2020-01-01T00:00:20Z | used    | 4.2    |

      | _time                | _field  | _value |
      |:-----                |:------: | ------:|
      | 2020-01-01T00:00:00Z | total   | 8.0    |
      | 2020-01-01T00:00:10Z | total   | 8.0    |
      | 2020-01-01T00:00:20Z | total   | 8.0    |
    output: |
      | _time                | _field       | _value |
      |:-----                |:------:      | ------:|
      | 2020-01-01T00:00:00Z | used_percent | 31.25  |
      | 2020-01-01T00:00:10Z | used_percent | 38.75  |
      | 2020-01-01T00:00:20Z | used_percent | 52.50  |


quantile:
  -
    code: |
      ```js
      data
          |> quantile(q: 0.99, method: "estimate_tdigest")
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:01:00Z | 1.0    |
      | 2020-01-01T00:02:00Z | 1.0    |
      | 2020-01-01T00:03:00Z | 2.0    |
      | 2020-01-01T00:04:00Z | 3.0    |
    output: |
      | _value |
      |:------:|
      | 3.0    |

rate_of_change:
  -
    code: |
      ```js
      data
          |> derivative(unit: 1m, nonNegative: true)
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:00:00Z | 250    |
      | 2020-01-01T00:04:00Z | 160    |
      | 2020-01-01T00:12:00Z | 150    |
      | 2020-01-01T00:19:00Z | 220    |
      | 2020-01-01T00:32:00Z | 200    |
      | 2020-01-01T00:51:00Z | 290    |
      | 2020-01-01T01:00:00Z | 340    |
    output: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:04:00Z |        |
      | 2020-01-01T00:12:00Z |        |
      | 2020-01-01T00:19:00Z | 10.0   |
      | 2020-01-01T00:32:00Z |        |
      | 2020-01-01T00:51:00Z | 4.74   |
      | 2020-01-01T01:00:00Z | 5.56   |
  -
    code: |
      ```js
      import "experimental/aggregate"

      data
          |> aggregate.rate(every: 20m, unit: 1m)
      ```
    input: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:00:00Z | 250    |
      | 2020-01-01T00:04:00Z | 160    |
      | 2020-01-01T00:12:00Z | 150    |
      | 2020-01-01T00:19:00Z | 220    |
      | 2020-01-01T00:32:00Z | 200    |
      | 2020-01-01T00:51:00Z | 290    |
      | 2020-01-01T01:00:00Z | 340    |
    output: |
      | _time                | _value |
      |:-----                | ------:|
      | 2020-01-01T00:20:00Z |        |
      | 2020-01-01T00:40:00Z | 10.0   |
      | 2020-01-01T01:00:00Z | 4.74   |
      | 2020-01-01T01:20:00Z | 5.56   |

regular_expressions:
  -
    code: |
      ```js
      data
          |> filter(fn: (r) => r.tag =~ /^foo[1-3]/)
      ```
    input: |
      | _time                | tag  | _value |
      |:-----                |:----:| ------:|
      | 2020-01-01T00:01:00Z | foo1 | 1.0    |
      | 2020-01-01T00:02:00Z | foo5 | 1.2    |
      | 2020-01-01T00:03:00Z | bar3 | 1.8    |
      | 2020-01-01T00:04:00Z | foo3 | 0.9    |
      | 2020-01-01T00:05:00Z | foo2 | 1.4    |
      | 2020-01-01T00:06:00Z | bar1 | 2.0    |
    output: |
      | _time                | tag  | _value |
      |:-----                |:----:| ------:|
      | 2020-01-01T00:01:00Z | foo1 | 1.0    |
      | 2020-01-01T00:04:00Z | foo3 | 0.9    |
      | 2020-01-01T00:05:00Z | foo2 | 1.4    |

sort_limit:
  -
    code: |
      ```js
      data
          |> sort(columns: ["host", "_value"])
          |> limit(n: 4)
      ```
    input: |
      | _time                | host | _value |
      |:-----                |:----:| ------:|
      | 2020-01-01T00:01:00Z | A    | 1.0    |
      | 2020-01-01T00:02:00Z | B    | 1.2    |
      | 2020-01-01T00:03:00Z | A    | 1.8    |
      | 2020-01-01T00:04:00Z | B    | 0.9    |
      | 2020-01-01T00:05:00Z | B    | 1.4    |
      | 2020-01-01T00:06:00Z | B    | 2.0    |
    output: |
      | _time                | host | _value |
      |:-----                |:----:| ------:|
      | 2020-01-01T00:03:00Z | A    | 1.8    |
      | 2020-01-01T00:01:00Z | A    | 1.0    |
      | 2020-01-01T00:06:00Z | B    | 2.0    |
      | 2020-01-01T00:05:00Z | B    | 1.4    |