---
title: "Building a weather data warehouse part I: Loading a trillion rows of weather data into TimescaleDB"
url: https://daily.dev/posts/building-a-weather-data-warehouse-part-i-loading-a-trillion-rows-of-weather-data-into-timescaledb-6wdb9ia7f
source_url: https://aliramadhan.me/2024/03/31/trillion-rows.html
type: article
source: "Hacker News"
published: 2024-04-16T14:09:24.407Z
updated: 2024-05-09T09:28:18.744Z
tags: ["postgresql", "data-warehouse", "timescaledb"]
reading_time: 15
upvotes: 2
comments: 0
language: en
---

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# Building a weather data warehouse part I: Loading a trillion rows of weather data into TimescaleDB

**[Hacker News](https://daily.dev/sources/hn)** · 15 min read · 2 upvotes · 0 comments

## Summary

The post discusses the process of building a weather data warehouse using PostgreSQL and TimescaleDB. It explores the need for historical weather data, the ERA5 climate reanalysis product, and the challenges of loading large amounts of data into a database. The post compares different insertion methods, including single-row inserts, multi-valued inserts, and the copy statement. It also evaluates the performance of external tools like pg_bulkload and timescaledb-parallel-copy. The conclusion suggests using psycopg3 to directly copy data into a hypertable or using timescaledb-parallel-copy if CSV files are available. The post provides detailed benchmarks and considerations for achieving optimal insert rates and loading times.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://aliramadhan.me/2024/03/31/trillion-rows.html>

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---

Tags: [#postgresql](https://daily.dev/tags/postgresql), [#data-warehouse](https://daily.dev/tags/data-warehouse), [#timescaledb](https://daily.dev/tags/timescaledb)

[View this post on daily.dev](https://daily.dev/posts/building-a-weather-data-warehouse-part-i-loading-a-trillion-rows-of-weather-data-into-timescaledb-6wdb9ia7f)