Ethereum: What is the maximum size of the memory pool?
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Understand the limit of the Ethereum commemorative basin
Ethereum, one of the most used blockchain platforms, is based on a complex nodes network to store the history of transactions in the form of a memory group. This temporal storage has unconfirmed transactions, waiting for a check before it is included in the block. However, with a growing number of transactions and blocks that occur daily, the capacity of the memory group reaches its limits.
What is the maximum size of the memory pool?
Ethereum or Ethereum Foundation Foundation does not reveal the exact maximum size of the Ethereum memory group. This information is considered property, and in each knot online is the calculation and management of its own group sizes. However, according to different reports, studies and developer forums, we can evaluate the upper limit.
Maximum commemorative size size
The blockcypher study, Blockchain data analysis, estimated that the Ethereum memory group could have approximately 1 exabyete (100 billion gigabytes) unconfirmed transactions. This is equivalent:
- 1,000 Terabyte
- 10 million GB
To put this in perspective, Netflix’s average film (2 hours of video content) requires approximately 400-500 GB of storage.
Why can the memory pool overflow?
The capacity of the memory group to save unconfirmed transactions is limited from several factors:
- Transaction volume : The faster the transaction rates, the more blocks are produced and stored in the memory group.
- Block time : The more time the mini block must be verified, the longer it is dedicated to processing transactions before they can be included in the block.
- Network congestion : As online knots share their storage space, congestion increases, which leads to a slow time of transaction processing time.
What happens when the memory group is poured?
If the memory group cannot store any transaction not confirmed in a short time, it can be flooded. This can lead to:
- Transaction delay : Uncissected transactions can remain in the memory group for a long period, delaying the creation of a block and an agreement.
- Increased congestion
: The overpopulated nodes in the network will compete for available storage, which will lead to greater transaction processing times.
Conclusion
Although the maximum size of the Ethereum memory group is unknown, the estimates suggest that it could have approximately 1 exabatic transactions not confirmed. As the block speed increases and the network increases in complexity, it also increases the potential risk of dressing. It is important that the knots in the Ethereum network are aware of their capacity limitations and effectively manage storage to avoid delays and transaction congestion.
To relieve these risks, developers explore alternative solutions, such as an increase in block time or carry out more effective mechanisms to verify the transaction. However, these measures are still in your childhood and may require significant fundamental infrastructure updates.