Documentation

join.left() function

join.left() performs a left outer join on two table streams.

The function calls join.tables() with the method parameter set to "left".

Function type signature
(<-left: stream[A], as: (l: A, r: B) => C, on: (l: A, r: B) => bool, right: stream[B]) => stream[C] where A: Record, B: Record, C: Record
  • Copy
  • Fill window

For more information, see Function type signatures.

Parameters

left

Left input stream. Default is piped-forward data (<-).

(Required) Right input stream.

on

(Required) Function that takes a left and right record (l, and r respectively), and returns a boolean.

The body of the function must be a single boolean expression, consisting of one or more equality comparisons between a property of l and a property of r, each chained together by the and operator.

as

(Required) Function that takes a left and a right record (l and r respectively), and returns a record. The returned record is included in the final output.

Examples

Perform a left outer join

In a left outer join, l is guaranteed to not be a default record, but r may be a default record. Because r is more likely to contain null values, the output record is built almost entirely from properties of l, with the exception of v_right, which we expect to sometimes be null.

For more information about the behavior of outer joins, see the Outer joins section in the join package documentation.

import "array"
import "join"

left =
    array.from(
        rows: [
            {_time: 2022-01-01T00:00:00Z, _value: 1, label: "a"},
            {_time: 2022-01-01T00:00:00Z, _value: 2, label: "b"},
            {_time: 2022-01-01T00:00:00Z, _value: 3, label: "d"},
        ],
    )
right =
    array.from(
        rows: [
            {_time: 2022-01-01T00:00:00Z, _value: 0.4, id: "a"},
            {_time: 2022-01-01T00:00:00Z, _value: 0.5, id: "c"},
            {_time: 2022-01-01T00:00:00Z, _value: 0.6, id: "d"},
        ],
    )

join.left(
    left: left,
    right: right,
    on: (l, r) => l.label == r.id and l._time == r._time,
    as: (l, r) => ({_time: l._time, label: l.label, v_left: l._value, v_right: r._value}),
)
  • Copy
  • Fill window

View example output


Was this page helpful?

Thank you for your feedback!


The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Read more

InfluxDB 3 Core and Enterprise are now in Beta

InfluxDB 3 Core and Enterprise are now available for beta testing, available under MIT or Apache 2 license.

InfluxDB 3 Core is a high-speed, recent-data engine that collects and processes data in real-time, while persisting it to local disk or object storage. InfluxDB 3 Enterprise is a commercial product that builds on Core’s foundation, adding high availability, read replicas, enhanced security, and data compaction for faster queries. A free tier of InfluxDB 3 Enterprise will also be available for at-home, non-commercial use for hobbyists to get the full historical time series database set of capabilities.

For more information, check out: