To execute the redesign logic of sending Solana transactions: For proven exercises and considerations

Like a Solana developer who builds a trading stick that requires the implementation of transactions under certain circumstances, it is essential to implement the re -logic in order to ensure the reliability and efficiency of the system. In this article, we examine the proven practices of Solana’s re -logic, taking into account factors such as the type of transaction, error handling and re -strategies.

Why should logic be repeated again?

Retry Logic allows you to perform the transaction multiple times with increased reliability, reducing the likelihood of failure for various reasons, such as network congestion, transaction -evaluation errors, or a server shutdown. This approach helps to maintain the bot’s great performance, even against unexpected events.

The best exercises to perform a re -logic in Solana

• Type of Transaction : Priority with transactions that have concrete re -strategies such as:

* Checkpoint Transactions: It is designed to be renewed several times if you fail due to network congestion or server stops.

* Create andDelete Transactions: Once you fail due to validation errors or other exceptions, you can be renewed again.

• Error Management : Complete a robust error management mechanism to catch and reinstall errors during the transaction. Use TRY EXACEPT blocks to pack the transaction code and provide additional context for debugging purposes.

3.

* Fixed Delay

: Set a fixed delay between reloads (such as 1-5 seconds) to ensure consistent re-interval.

* Exponential Run : Complete an exponential return strategy to manage network congestion or server downtime, reducing the number of refunds.

• Re -thresholds : Create a threshold for the experiments held during which the transaction considers it unsuccessful. This can help prevent excessive redesigns that can lead to unnecessary transactions.

• Attention and logging :

* Re -attempts to log, including successful and unsuccessful transactions.

* Use an observation device (such as “Solana” -specific logging APIs) to track errors and set up re -strategies.

Example Re -planning logical implementation

`Python

Import asyncio

from Solana.publicKey Import Pubkey

Async def force_transection (transaction_data):

try:

Execution of the transaction code here

Print (F “execution of transaction {transaction_data [‘id’]} …”)

Looking forward to the transaction.execute ()

Except for Solana.Errors.transectionfailed e:

print (F “transaction failed: {e}”)

def retry_send_transection (max_retries, delay, threshold):

max_attempts = 0

Async def force_transection_retry (transaction_data):

not local max_attempts

While max_attempts

Wait asyncio.sleep (delay)

max_attempts += 1

Return asyncio.gather (

*[Send_transection_retry (Data) For Data, Transaction_Data [‘Data’]]]]

)

Async Def Main ():

Determine transaction data

Transactions = [

{‘id’: ‘tx-001’, ‘data’: [‘data-001’]},

{‘id’: ‘tx-002’, ‘data’: [‘data-002’]}

]

try:

Send transactions with redesign logic

Results = wait for retry_send_transection (max_retries = 3, delay = 1.0, threshold = 5)

Except for Solana.Errors.transectionfailed e:

print (F “transaction failed: {e}”)

`

In this example, we define a “Send_transection_retry” function that takes over transaction data and attempts to execute the transaction three times with an exponential return strategy, taking into account the network congestion or the server’s downtime time. The “main” feature shows how to use this re -logic in a Solana stick.