We continue exploring ways to improve Tinybird developer experience in the command line. In my Can you guess my age from this image...?
I've been there, and today I'll share how we've tackled these challenges at my
Jokes aside, and I am a jolly person, it has to be said out loud and clear - when faced with the need to refresh data, performing a destructive full refresh in production environments carries significant risks that should make you pause and re-consider your approach.
Service Interruption - during a full refresh, your analytical queries and dashboards may become unavailable or return incomplete results, potentially impacting business operations and decision-making.
Resource Intensive - full refreshes typically consume substantial computational resources, which lead to cost increase, performance hit of other running processes and even potentially exceeding service quotas or limits
Data Consistency Challenges - full refresh throws your whole system into partially inconsistent state, if it receives new real-time events during that time, that data may be lost or you risk having inconsistent states between different parts of your system as a result of downstream pipes and even other systems receiving incomplete or incorrect data
Recovery Complexity - if something goes wrong during the refresh you may not have an easy way to roll back and the original state could be permanently lost
That's just to name a few.
Instead of destructive full refreshes, consider these alternatives:
Implementing incremental updates where possible. Sometimes all it takes to avoid a breaking change from happening is a little bit of thinking ahead and preparation. It's possible more often than you think.
Versioning your pipes and datasets. Can't emphasize this enough. If it hits production, then it's your contract and unless you really know what you are doing (like, really REALLY) making any breaking changes to an already published contract is a big no-no. Think of your Tinybird data carrying structures (pipes, data sources) as APIs. In the end, most often than not you are going to publish results of your user-facing pipes as APIs. And what do you do when you have to change a contract in the existing API? You
Look... while I just spent a good chunk of this post telling you why full rebuilds are generally a terrible idea (and they really are!), sometimes you just need the right tool for the job. You know what they say about rules being made to be broken? Well, not exactly broken, but more like... carefully bent when you really know what you're doing! 😉
Sometimes you DO need that nuclear option - maybe you're in development, testing some wild new ideas, or dealing with a situation where a full rebuild is actually the safest bet. The key isn't blindly following "best practices" - it's about understanding your tools well enough to know exactly when to use them.
And hey, that's exactly why I built this tool - for those specific situations where a full rebuild is exactly what the doctor has prescribed!
The Manual Console-driven Method
For simple use-case scenarios where all you need is trashing data in a single data source it's perfectly fine to trigger rebuilds from the Tinybird Console as all it takes is just a few clicks to get data flowing again.
My preciousss... 💍
Let's Dive In
After acknowledging all the risks and considerations we discussed earlier, I am giving you a tool that transforms what could be a hazardous operation into a controlled, deliberate process. Think of it as your "break glass in case of emergency" tool - but one that actually knows what it's doing!
The tool provides two core capabilities, each wrapped in multiple layers of safety controls. First, it manages your data sources through selective truncation based on configurable rules, with built-in protection for critical sources through prefix-based exclusions. Second, it handles orchestrated repopulation using a three-phase strategy that respects data dependencies: starting with core reference data, moving through standard operational pipes, and finishing with dependent calculations (that part you should adjust to match your use-case).
Getting started is straightforward:
CODE# Clone the repository
git clone https://github.com/sebekz/tinybird-devex-plus.git
# Navigate to script location
cd tinybird-devex-plus/tinybird/scripts
# Make it executable (Unix/Linux/macOS)
chmod +x repopulateAllDataSources.sh
You can also pull only the script from the - obviously...
I added a bunch of extra safety measures ensuring, that anytime you run the script, you must turn all the required safety keys first.
By default, this script protects your critical data sources - landing sources (with
source_prefix), operational data (ops_prefix), and snapshots (snapshot_prefix) remain untouched. These particular prefixes resulted from the use-case scenarios that I was working on, yours may and most likely will be different so feel free to adjust that part to your liking!
Protection goes beyond just prefixes. The tool implements what I like to call "progressive do-not-break-everything safety" - you need to explicitly confirm your intentions at several checkpoints before any action is taken.
Usage
Run script without any parameters to see all the available commands.
after which data sources are re-populated from their respective pipes
Tinybird Console Pro Tips - unlocking the full-width view and most importantly, the dark mode - vampires like me 🧛 fear the light!
IaC Blueprint - structuring your Tinybird projects like a pro
Multi-tenancy Guide - implementing secure and scalable multi-tenant analytics with Tinybird and AWS
Production Checklist - everything you need for truly production-ready analytics
DynamoDB with Tinybird - tips and tricks learned when working on a real-world implementation
Node.js SDK - Tinybird SDK for Node.js that you never knew you needed!- and many more!
Where to Next?
In the upcoming articles, I will explore:
Stay tuned!
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If you found this article helpful, consider 🧛 please do give advance notice of any potential... mishaps. It would be terribly wasteful to let good blood 🩸 go to waste. Just saying!
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