我怀疑您可能已经找到了解决问题的方法，但是对于所有可能像我一样偶然发现此问题的人来说，有一种简单的方法可以加快这些请求的速度。 OP就快到了……
使用提供的代码：
function googleSheetsToMySQL() {
var sheetName = 'name_of_google_sheet';
var dbAddress = 'database_ip_address';
var dbUser = 'database_user_name';
var dbPassword = 'database_user_password';
var dbName = 'database_name';
var dbTableName = 'database_table_name';
var dbURL = 'jdbc:mysql://' + dbAddress + '/' + dbName;
// Regarding the statement used by the OP, you might find something like....
//
// "INSERT INTO " + dbTableName + " (recid, code, product_description, price) VALUES (?, ?, ?, ?);";
//
// to be more practical if you're trying to implement the OP's code,
// as you are unlikely to have a stored procedure named 'sp_googlesheetstotable', or may be more
// familiar with basic queries like INSERT, UPDATE, or SELECT
var sql = "{call [dbo].[sp_googlesheetstotable](?,?,?,?)}";
// The more records/requests you load into the statement object, the longer it will take to process,
// which may mean you exceed the execution time before you can do any post processing.
//
// For example, you may want to record the last row you exported in the event the export must be halted
// prematurely. You could create a series of Triggers to re-initiate the export, picking up right where
// you left off.
//
// The other consideration is that you want your GAS memory utilization to remain as low as possible to
// keep things running smoothly and quickly, so try to strike a balance that fits the data you're
// working with.
var maxRecordsPerBatch = 1000;
var spreadsheet = SpreadsheetApp.getActiveSpreadsheet();
var sheet = spreadsheet.getSheetByName(sheetName);
var sheetData = sheet.getDataRange().getValues();
var dbConnection = Jdbc.getConnection(dbURL, dbUser, dbPassword);
// The following only needs to be set when you are changing the statement that needs to be prepared
// or when you need to reset the variable.
//
// For example, if you were to switch to a different sheet which may have different values, columns,
// structure, and/or target database table.
var dbStatement = dbConnection.prepareCall(sql);
var RecId;
var Code;
var ProductDescription;
var Price;
var recordCounter = 0;
var lastRow;
dbConnection.setAutoCommit(false);
for (var i = 1; i < sheetData.length; i++) {
lastRow = (i + 1 == sheetData.length ? true : false);
RecId = sheetData[i][0];
Code = sheetData[i][1];
ProductDescription = sheetData[i][2];
Price = sheetData[i][3];
dbStatement.setString(1, RecId);
dbStatement.setString(2, Code);
dbStatement.setString(3, ProductDescription);
dbStatement.setString(4, Price);
// This command takes what has been set above and adds the request to the array that will be sent
// to the database for processing.
dbStatement.addBatch();
recordCounter += 1;
if (recordCounter == maxRecordsPerBatch || lastRow)
{
try {
dbStatement.executeBatch();
}
catch(e)
{
console.log('Attempted to update TABLE `' + dbTableName + '` in DB `' + dbName + '`, but the following error was returned: ' + e);
}
if (!lastRow)
{ // Reset vars
dbStatement = dbConnection.prepareCall( sql ); // Better to reset this variable to avoid any potential "No operations allowed after statement closed" errors
recordCounter = 0;
}
}
}
dbConnection.commit();
dbConnection.close();
}
OP 可能仍然超出执行时间限制（我的记录少于 10k），但您应该避免批量处理单个请求，除非您无法找到问题行。
From this link
请记住，每次更新都添加到声明中，这一点很重要
或 PreparedStatement 由数据库单独执行。那
意味着，其中一些可能会在其中一个失败之前成功。所有的
已成功的语句现在应用于数据库，但是
其余的更新可能不是。这可能会导致不一致
数据库中的数据。
为避免这种情况，您可以在 JDBC 中执行批量更新
交易。在事务中执行时，您可以确保
要么执行所有更新，要么不执行。任何成功的更新
可以回滚，以防其中一个更新失败。
替代解决方案
如果时间限制很麻烦，您可以尝试从外部访问表格中的数据。为了后代，我已经复制了基本说明，但如果它仍然有效，请访问链接。
Link to source
- 更新 composer.json 以要求“google/apiclient”：“^2.0”并运行 composer update
- 在https://console.developers.google.com/apis/dashboard上创建项目。
- 点击启用 API 并启用 Google Sheets API
- 转到凭据，然后单击创建凭据，然后选择服务帐户密钥
- 在下拉列表中选择新服务帐户。给帐户起个名字，一切都好。
- 对于角色，我选择了项目 -> 服务帐户参与者
- 对于密钥类型，选择 JSON（默认）并下载文件。此文件包含一个私钥，因此请务必小心，毕竟它是您的凭据
- 最后，编辑您要访问的电子表格的共享权限，并共享对您可以在JSON 文件。
<?php
require __DIR__ . '/vendor/autoload.php';
/*
* We need to get a Google_Client object first to handle auth and api calls, etc.
*/
$client = new \Google_Client();
$client->setApplicationName('My PHP App');
$client->setScopes([\Google_Service_Sheets::SPREADSHEETS]);
$client->setAccessType('offline');
/*
* The JSON auth file can be provided to the Google Client in two ways, one is as a string which is assumed to be the
* path to the json file. This is a nice way to keep the creds out of the environment.
*
* The second option is as an array. For this example I'll pull the JSON from an environment variable, decode it, and
* pass along.
*/
$jsonAuth = getenv('JSON_AUTH');
$client->setAuthConfig(json_decode($jsonAuth, true));
/*
* With the Google_Client we can get a Google_Service_Sheets service object to interact with sheets
*/
$sheets = new \Google_Service_Sheets($client);
/*
* To read data from a sheet we need the spreadsheet ID and the range of data we want to retrieve.
* Range is defined using A1 notation, see https://developers.google.com/sheets/api/guides/concepts#a1_notation
*/
$data = [];
// The first row contains the column titles, so lets start pulling data from row 2
$currentRow = 2;
// The range of A2:H will get columns A through H and all rows starting from row 2
$spreadsheetId = getenv('SPREADSHEET_ID');
$range = 'A2:H';
$rows = $sheets->spreadsheets_values->get($spreadsheetId, $range, ['majorDimension' => 'ROWS']);
if (isset($rows['values'])) {
foreach ($rows['values'] as $row) {
/*
* If first column is empty, consider it an empty row and skip (this is just for example)
*/
if (empty($row[0])) {
break;
}
$data[] = [
'col-a' => $row[0],
'col-b' => $row[1],
'col-c' => $row[2],
'col-d' => $row[3],
'col-e' => $row[4],
'col-f' => $row[5],
'col-g' => $row[6],
'col-h' => $row[7],
];
/*
* Now for each row we've seen, lets update the I column with the current date
*/
$updateRange = 'I'.$currentRow;
$updateBody = new \Google_Service_Sheets_ValueRange([
'range' => $updateRange,
'majorDimension' => 'ROWS',
'values' => ['values' => date('c')],
]);
$sheets->spreadsheets_values->update(
$spreadsheetId,
$updateRange,
$updateBody,
['valueInputOption' => 'USER_ENTERED']
);
$currentRow++;
}
}
print_r($data);
/* Output:
Array
(
[0] => Array
(
[col-a] => 123
[col-b] => test
[col-c] => user
[col-d] => test user
[col-e] => usertest
[col-f] => email@domain.com
[col-g] => yes
[col-h] => no
)
[1] => Array
(
[col-a] => 1234
[col-b] => another
[col-c] => user
[col-d] =>
[col-e] => another
[col-f] => another@eom.com
[col-g] => no
[col-h] => yes
)
)
*/