Hedera本地节点AccountCreateTransaction超时问题及解决

环境与代码 #

按照Hedera官方文档搭建本地网络，使用的Node.js代码如下：

const {
    Client,
    PrivateKey,
    Hbar,
    AccountId,
    AccountCreateTransaction,
} = require("@hashgraph/sdk");
require('dotenv').config();

const myAccountId = process.env.MY_ACCOUNT_ID;
const myPrivateKey = process.env.MY_PRIVATE_KEY;
const myPublicKey = process.env.MY_PUBLIC_KEY;


async function main() {
    console.log("account id is: " + process.env.MY_ACCOUNT_ID);

    const node = {"127.0.0.1:50211": new AccountId(3)};
    const client = Client.forNetwork(node).setMirrorNetwork("127.0.0.1:5600");

    //set the transaction fee paying account
    client.setOperator(myAccountId, myPrivateKey);
    console.log('success');

    console.log(PrivateKey.fromString(myPublicKey));
    const newAccount = await new AccountCreateTransaction()
        .setKey(PrivateKey.fromString(myPublicKey))
        .setInitialBalance(new Hbar(1))
        .execute(client);

     //Get receipt
     const receipt = await newAccount.getReceipt(client);

     //Get the account ID
     const newAccountId = receipt.accountId;
     console.log(newAccountId);
}

void main();

报错信息 #

执行代码时，在AccountCreateTransaction.execute()步骤持续报错：

/Users/{name}/Desktop/{org_name}/hello-hedera-js-sdk/node_modules/@hashgraph/sdk/lib/Executable.cjs:679
    throw new Error(`max attempts of ${maxAttempts.toString()} was reached for request with last error being: ${persistentError != null ? persistentError.toString() : ""}`);
          ^

Error: max attempts of 10 was reached for request with last error being: GrpcServiceError: gRPC service failed with status: TIMEOUT
    at AccountCreateTransaction.execute (/Users/{name}/Desktop/{org_name}/hello-hedera-js-sdk/node_modules/@hashgraph/sdk/lib/Executable.cjs:679:11)
    at async main (/Users/drew/Desktop/Greensmith/hello-hedera-js-sdk/localtx.js:31:24)

排查过程 #

• 已确认Docker上的hedera-local-node集群启动状态正常
• client.setOperator执行成功，控制台输出success
• 尝试直接复用官方示例代码、删除并重装node_modules，均无法解决问题

解决方案 #

最终定位问题根源为Docker内存不足，扩容Docker的可用内存后，问题得到解决。

内容的提问来源于stack exchange，提问作者Drew