What is downsampling in InfluxDB?

What is downsampling in InfluxDB?

Downsampling is the process of aggregating high-resolution time series within windows of time and then storing the lower resolution aggregation to a new bucket. This downsampling helps to preserve the overall shape of your data without sacrificing unnecessary disk space.

How does InfluxDB retention policy work?

A retention policy (RP) is the part of InfluxDB data structure that describes for how long InfluxDB keeps data. InfluxDB compares your local server’s timestamp to the timestamps on your data and deletes data that are older than the RP’s DURATION . A single database can have several RPs and RPs are unique per database.

How do I create a retention policy in InfluxDB?

Database preparation

1. Create the database. > CREATE DATABASE “food_data”
2. Create a two-hour DEFAULT retention policy. InfluxDB writes to the DEFAULT retention policy if we do not supply an explicit RP when writing a point to the database.
3. Create a 52-week retention policy.
4. Create the continuous query.

What is the default retention policy for InfluxDB?

The duration of the default retention policy in Aiven for InfluxDB data points is 720 hours, i.e. 30 days. Any data points older than this (compared to current time) will be automatically removed.

What is InfluxDB bucket?

A bucket is a named location where time series data is stored. All buckets have a retention period, a duration of time that each data point persists. InfluxDB drops all points with timestamps older than the bucket’s retention period. A bucket belongs to an organization.

What is Autogen in InfluxDB?

When you create a database, InfluxDB automatically creates a retention policy called autogen with an infinite duration, a replication factor set to one, and a shard group duration set to seven days.

How do I clear my InfluxDB database?

Use the influx CLI or the InfluxDB API /api/v2/delete endpoint to delete data….Delete data

1. Use the influx delete command to delete points from InfluxDB.
2. Use the –bucket flag to specify which bucket to delete data from.
3. Use the –start and –stop flags to define the time range to delete data from.

How do I manage InfluxDB database?

Data management

1. CREATE DATABASE.
2. Delete a database with DROP DATABASE.
3. Drop series from the index with DROP SERIES.
4. Delete series with DELETE.
5. Delete measurements with DROP MEASUREMENT.
6. Delete a shard with DROP SHARD.
7. Create retention policies with CREATE RETENTION POLICY.
8. Modify retention policies with ALTER RETENTION POLICY.

How do I connect to InfluxDB?

1. Download and install InfluxDB. There are several ways to interact with InfluxDB, including the following: HTTP API and client libraries.
2. Connect to InfluxDB’s Command Line Interface.
3. Create your first database or Import from your existing InfluxDB Instance.
4. Write data to your database.
5. Query data in your database.

How do I change my retention policy on InfluxDB?

1 Answer. Easiest solution is to change(update) the current retention-policy. Now, after a while (ranging from 30m to 1h or more), InfluxDB will reflect the new retention-policy and trim the database off the data older than the specified 10 days.

How do I install InfluxDB?

1. Download and install InfluxDB v2. Download InfluxDB v2.
2. (Optional) Verify the authenticity of downloaded binary.
3. Place the executables in your $PATH.
4. Install InfluxDB as a service with systemd.
5. Networking ports.
6. Start InfluxDB.
7. Enable shell completion (Optional)

Is it possible to downsample data in InfluxDB?

InfluxDB can handle hundreds of thousands of data points per second. Working with that much data over a long period of time can create storage concerns. A natural solution is to downsample the data; keep the high precision raw data for only a limited time, and store the lower precision, summarized data for much longer or forever.

Which is the latest stable version of InfluxDB?

InfluxDB v2.0 is the latest stable version. See the equivalent InfluxDB v2.0 documentation: Downsample data with InfluxDB. InfluxDB can handle hundreds of thousands of data points per second. Working with that much data over a long period of time can create storage concerns.

How are CQS and RPS used in InfluxDB?

InfluxDB offers two features – continuous queries (CQ) and retention policies (RP) – that automate the process of downsampling data and expiring old data. This guide describes a practical use case for CQs and RPs and covers how to set up those features in InfluxDB databases.

How to use no-code solutions in InfluxDB?

No-code solutions Telegraf (agent) Automatically configure Telegraf Manually configure Telegraf Use Telegraf plugins HTTP input plugin Scrape data Manage scrapers Create a scraper Update a scraper Delete a scraper Create scrapable endpoints Third-party technologies Developer tools Third-party developer tools Client libraries Write CSV data