Replicate data from a remote instance to InfluxDB Cloud

Use InfluxDB replication streams (InfluxDB Edge Data Replication) to replicate the incoming data of select buckets to one or more buckets on a remote InfluxDB instance.

Configure a replication stream

1. Download and install the influx CLI.

2. In your local InfluxDB OSS instance, use the influx remote create command to create a remote connection to replicate data to.

   Provide the following:

   • Remote connection name
   • Remote InfluxDB instance URL
   • Remote InfluxDB API token (API token must have write access to the target bucket)
   • Remote InfluxDB organization ID

   influx remote create \
     --name example-remote-name \
     --remote-url https://cloud2.influxdata.com \
     --remote-api-token mYsuP3r5Ecr37t0k3n \
     --remote-org-id 00xoXXoxXX00
   

   If you already have remote InfluxDB connections configured, you can use an existing connection. To view existing connections, run influx remote list.

3. In your local InfluxDB OSS instance, use the influx replication create command to create a replication stream. Provide the following:

   • Replication stream name
   • Remote connection ID
   • Local bucket ID to replicate writes from
   • Remote bucket ID to replicate writes to

   influx replication create \
     --name example-replication-stream-name \
     --remote-id 00xoXXXo0X0x \
     --local-bucket-id Xxxo00Xx000o \
     --remote-bucket-id 0xXXx00oooXx
   

Once a replication stream is created, InfluxDB OSS will replicate all writes to the specified bucket to the remote InfluxDB bucket. Use the influx replication list command to view information such as the current queue size, max queue size, and latest status code.

Replicate downsampled or processed data

In some cases, you may not want to write raw, high-precision data to a remote InfluxDB instance. To replicate only downsampled or processed data:

1. Create a bucket in your InfluxDB OSS instance to store downsampled or processed data in.

2. Create an InfluxDB task that downsamples or processes data and stores it in the new bucket. For example:

   import "influxdata/influxdb/tasks"
   import "types"
   
   // omit this line if adding task via the UI
   option task = {name: "Downsample raw data", every: 10m}
   
   data = () => from(bucket: "example-bucket")
       |> range(start: tasks.lastSuccess(orTime: -task.every))
   
   numeric = data()
       |> filter(fn: (r) => types.isType(v: r._value, type: "float") or types.isType(v: r._value, type: "int") or types.isType(v: r._value, type: "uint"))
       |> aggregateWindow(every: task.every, fn: mean)
   
   nonNumeric = data()
       |> filter(fn: (r) => types.isType(v: r._value, type: "string") or types.isType(v: r._value, type: "bool"))
       |> aggregateWindow(every: task.every, fn: last)
   
   union(tables: [numeric, nonNumeric])
       |> to(bucket: "example-downsampled-bucket")
   

3. Create a replication stream to replicate data from the downsampled bucket to the remote InfluxDB instance.