Ethereum: 64: Mempool chain too long

Ethereum: 64-bit mempool chain is too long – Preventing unconfirmed payments from overwhelming the network

As a Bitcoin and Ethereum developer, you have probably encountered issues with a large number of unconfirmed transactions held on the Bitcoin (BTC) or Ethereum (ETH) network. A common problem occurs when the transaction pool becomes too long, leading to slow processing times and potential delays in receiving confirmed payments.

In this article, we will examine why a mempool chain can become too long and explore ways to prevent such issues from occurring, particularly in the context of sending Bitcoin and Ethereum via the JSON-RPC API.

What is a chain mempool?

A mempool is a data structure used by cryptocurrency exchanges, such as BitMEX or Binance, to manage and prioritize transactions. When multiple users attempt to send funds to the same wallet or exchange, the transactions are grouped into a single “memory pool” or pending transaction pool.

Why can a memory pool chain be too long?

A memory pool chain can become too long when there are:

• Too many unconfirmed transactions: If you have 24 unconfirmed payments sent from your account, this means that the transactions are still being verified by the network.

• High transaction volume: When multiple users send funds in quick succession, transactions pile up, stretching the memory pool chain.

Consequences of a long memory pool chain

A long memory pool chain can lead to:

• Slow transaction processing times: As more transactions are added to the memory pool, processing times increase, leading to delays in receiving confirmed payments.

• Network Congestion

  : A large mempool chain can overwhelm network capacity, leading to increased latency, decreased transaction speeds, and potential outages.

How ​​ to Prevent Unconfirmed Payments from Overwhelming the Network

To mitigate these issues and prevent unconfirmed transactions from blocking the network:

• Use a Better Batching Strategy

  

  : Consider using a more efficient batching technique, such as batching or pooling, which can reduce transaction processing times.

• Increase the Block Time Limit: Enabling longer block times (e.g., 10 minutes) can help reduce the number of transactions in the mempool at any given time.

• Optimize your JSON-RPC API query parameters: Adjust your API query parameters to reduce the number of unconfirmed transactions sent:

• Use includeUnspent set to false, which will only include unspent transaction outputs in the response, reducing the amount of data returned.

• Set maxBatch to a higher value (e.g. 100) to limit the number of transactions in each batch.

• Use a more robust batching library: Use libraries like eth-batcher or bitcoind-rpc that offer better batching capabilities and can help reduce transaction processing times.

• Monitor your mempool chain performance: Keep an eye on your mempool chain metrics to identify bottlenecks or issues before they become a problem.

By implementing these strategies, you can prevent unconfirmed payments from overwhelming the Ethereum network and ensure smoother transaction processing times with your JSON-RPC API requests.

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