docs-v2/content/influxdb/cloud/notebooks/downsample.md

title	description	weight	influxdb/cloud/tags	menu
Downsample data with notebooks	Downsample data to reduce overall disk usage as data collects over time.	104		influxdb_cloud name parent Downsample data with notebooks Notebooks

Downsample data to reduce the overall disk usage as data collects over time. Learn how to create a notebook that downsamples data—walk through the following example to create a notebook that does the following:

• Inputs InfluxDB Cloud demo data from the Website Monitoring Bucket
• Downsamples data by aggregating data within windows of time with a Flux script
• Outputs downsampled data to a bucket

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Requirements

• This example uses InfluxDB Cloud demo data.
• Create a destination bucket to write downsampled data to. For details, see Create a bucket.

Downsample data with a notebook

1. Create a new notebook (see Create a notebook).
2. Add a Metric Selector cell to select a bucket to query data from:
   • In the Choose a bucket dropdown list, select Website Monitoring Bucket.
   • Select the response_time field.
   • Select the mean function from the aggregate selector in the upper-right.
3. Add a Downsample cell to bring in data from the previous cell and downsample it.
   • Select an aggregate function from the Apply aggregate dropdown menu.
   • Enter a window period.
4. Add an Output to Bucket cell, and then select the destination bucket for your downsampled data.
5. Add a Markdown cell to add a note to your team about what this notebook does. For example, the cell might say, "Downsample to one value per hour so we can do week-over-week performance. Sending data to downsample bucket."
6. Click Preview in the upper left to verify that your notebook runs and preview the output.
7. Run your notebook:
   • Click Run from the Preview dropdown list to run the notebook and write to the output bucket a single time.
   • To write continuously, click Export as Task in the upper right corner of the Output to Bucket cell. For details about working with tasks, see Manage tasks.