Remove Old Data With Data Retention Policies

The last video in this series focuses on retention policies. Retention can be another great tool to use when you need to save storage space within your TimescaleDB instance. We walk you through what our retention policies do, how to set up automatic retention, and how to perform manual retention.
🛠 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀
📌 Watch the full playlist ⇒ tsdb.co/getting-started-playlist
📌 Getting started docs ⇒ tsdb.co/getting-started-data-...
📌 Retention docs ⇒ tsdb.co/data-retention-how-to...
📚 𝗖𝗵𝗮𝗽𝘁𝗲𝗿𝘀
⏱ 0:00 ⇒ Introduction
⏱ 1:17 ⇒ Understanding retention policies
⏱ 3:22 ⇒ Setting up an automatic retention policy
⏱ 4:57 ⇒ Look at job information for your database
⏱ 5:23 ⇒ Manual retention
⏱ 6:55 ⇒ Outro
🐯 𝗔𝗯𝗼𝘂𝘁 𝗧𝗶𝗺𝗲𝘀𝗰𝗮𝗹𝗲
Timescale is the company behind TimescaleDB, the relational database for time-series. With time-series data, developers can understand what is happening right now, how that is changing, and why that is changing. The best way to get TimescaleDB is Timescale Cloud. Try for free today at tsdb.co/timescale-cloud.
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[@Mendez_84]

Thank you so much for this series!

[@TimescaleDB]

You are welcome, Mendez :-) We are glad you enjoyed it.

[@nahuelaguirre506]

Hi, thanks for the info. What's the best way to back up a timescale table of more than 1 TB?

[@FernandoLopez-el8mp]

Hi, it uses drop queries or truncates chunks directly? It could have a heavy impact if replication is enabled. Thank you, a great material

[@TimescaleDB]

Hi Fernando, sorry for the late reply! When you set up a data retention policy it will drop data per chunk so the whole chunk will be removed altogether if it meets the time condition - if that's what you mean.
- Attila

[@FernandoLopez-el8mp]

@@TimescaleDB That's the key. Thank you, Attila!

[@minhgiangho1410]

I didn't receive any information, because I was busy looking at her