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Ethereum: How can I run bitcoind in pruning mode?

Published by on February 13th, 2025.


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Running Bitcoind in Slicing Mode: A Guide

In the world of cryptocurrency and blockchain development, running multiple nodes on a single computer can be beneficial for several reasons, such as increased security and faster transaction processing times. However, this also means that older blocks are discarded, leaving less data available to users like you.

One way to mitigate these issues is through slicing mode, which allows you to run only the information you need from each block on your local computer, discarding most of what is stored elsewhere. In this article, we’ll walk you through a step-by-step guide on how to install and configure Bitcoind in slicing mode.

Why prune your Bitcoind?

Before we get into the process, let’s briefly discuss why you might want to run your Bitcoind in slicing mode:

Bitcoin Pruning: A Step-by-Step Guide

Here are some example configuration options:

{

"prune": {

"minblock": 100000, // Keep at least the first 10 million blocks

"maxblock": 2000000 // Keep up to 2 million blocks

}

}

`just

./node.sh -f config.json


  • Verify your configuration





    Ethereum: How can I run bitcoind in pruning mode?

    : After starting, verify that your pruning configuration is correct by checking for updates or running a full node on your machine to make sure it is working as expected.


  • Run Bitcoind in Prune Mode: To run Bitcoind in prune mode, use the
    prunecommand instead of the normalbitcoindcommand.

`just

./node.sh -c prune -f config.json

Troubleshooting Tips

By following these steps and adjusting your prune settings to your needs, you can effectively run Bitcoind in prune mode. Remember to update your configuration regularly and test your settings before deploying them to a live network.

Conclusion

Pruning Bitcoind is a great way to balance security, performance, and storage requirements. By following these steps and adjusting the settings according to your specific use case, you can optimize your cutting node for optimal results.

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