Is the Arbitrum transaction issues we’ve been hearing about a result of network downtime? Not quite. According to Offchain Labs, the team responsible for the Arbitrum Layer 2 project, the network was not offline for an hour as some have assumed. The issues arose not from a network outage, but due to a pause in batch posting, as explained by CTO Harry Kalodner.
Understanding the Batch Poster’s Role
The batch poster’s job in the Arbitrum network is pivotal. When it stops posting, the sequencer continues to accept and order transactions while publishing confirmations. However, the batches aren’t posted. This situation might seem like normal operation for most users, but anyone waiting for full finality will experience a pause.
The issue arose when the batch poster encountered a unique situation in geth’s mempool implementation. This problem caused the rejection of transactions if the total cost of all transactions in the mempool surpassed the balance of the sender. The issue blocked the batch poster from escalating the fees of any transaction, which led to the perceived Arbitrum transaction issues.
Behind the Scene Mechanics
The Arbitrum One batch poster’s main ETH balance is kept in a separate smart contract known as the gas refunder. This smart contract reimburses the batch poster for ETH spent on batch posting, thereby enhancing the security of its funds. The batch poster had sufficient ETH to send all the transactions, but geth rejected its attempts. This rejection resulted in an hour-long pause between batches, which was mistaken for network downtime.
The Aftermath of the Incident
During this hour-long pause, some users on social media reported that they were unable to submit transactions. This led to the belief that the entire blockchain was either frozen or down. Unfortunately, the Arbitrum Foundation, the entity developing Arbitrum, has yet to respond to requests for comments on this issue.
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While the Arbitrum transaction issues may have caused some concern, it’s important to remember that these challenges often lead to improvements and adaptations that strengthen the resilience of these networks.
