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Ethereum: MEMPool Chain 64 Bits for a long time – preventing unconfirmed payments have submerged the network
As a Bitcoin and Ethereum developer, you have probably encountered problems with a large number of unconfirmed transactions kept in the Bitcoin (BTC) or Ethereum (ETH) network. A current problem is when the transaction pool becomes too long, leading to slow processing deadlines and possible delays in receiving confirmed payments.
In this article, we will explain why a memory chain can become too long and explore ways to prevent these problems from happening, particularly in the context of sending Bitcoin and Ethereum through the JSON-RPC API.
What is a memory chain?
A mepool is a data structure used by cryptocurrency exchanges such as Bitmex or Binance to manage and prioritize transactions. When multiple users try to send funds to the same wallet or exchange, transactions are grouped into a single “face” or a pool of pending transactions.
Why can a mepool chain become too long?
A memory chain can become very long when there is:
- Many unconfirmed transactions : If you have 24 unconfirmed payments sent from your account, it means that transactions are still being checked by the network.
- High Transaction Volume : When several users send fast inheritance funds, transactions accumulate, stretching the memopool chain.
Consequences of a long chain of mepool
A long chain of mepool can lead to:
- Treatment time for slow transactions : As more and more transactions are added to MEMPool, processing time increases, resulting in the reception of confirmed payments.
- Network congestion : A large memory chain can overload the network capacity, bringing the highest latency, lower transaction speed and possible breaks.
How to prevent unconfirmed payments from submerging the network
To relieve these problems and prevent unconfirmed transactions from maintaining the network:
- Use a better battle strategy : Consider using a more efficient lot technique, such as batch or pool lot, which can reduce transaction processing times.
- Increase the block deadline : Activation of longer block times (for example, 10 minutes) can help reduce the number of mepool transactions at any time.
- Optimize your JSON-RPC API Request Settings : Adjust API application parameters to reduce the number of non-confirmed transactions sent:
* Use Include Unspert 'defined in false', which will only include transaction exits not spent on the answer, reducing the amount of data returned.
* Definemaxbatchto a higher value (for example, 100) to limit the number of transactions in each lot.
- Use a more robust lot library : Use libraries such aseth-batcher` or bitcoind-rpco ‘, which offer better lot lots and can help reduce transaction processing times.
- Monitor the performance of your MemPool Chain
: Keep an eye on the metrics of your MemPool chain to identify bottlenecks or problems before becoming a problem.
By implementing these strategies, you can prevent unconfirmed payments submerged the Ethereum network and ensuring periods of treatment for softer transactions with your JSON-RPC API requests.
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