此问题可能是由于BigQuery与Apps Script之间的网络连接出现问题。为解决此问题，可以使用重试逻辑来确保插入作业成功。

以下是一个示例代码，可用于在Apps Script中自动重试BigQuery插入作业直到API成功为止。

function insertIntoBigQuery(data) {
  var projectId = "YOUR_PROJECT_ID";
  var datasetId = "YOUR_DATASET_ID";
  var tableId = "YOUR_TABLE_ID";

  var table = BigQuery.Tables.get(projectId, datasetId, tableId);

  if (table.numRows >= 50000) {
    throw "Maximum number of rows has been reached";
  }

  var schema = table.schema;
  var job = {
    configuration: {
      load: {
        destinationTable: {
          projectId: projectId,
          datasetId: datasetId,
          tableId: tableId
        },
        schema: schema,
        writeDisposition: 'WRITE_APPEND'
      }
    }
  };

  job = BigQuery.Jobs.insert(job, projectId);

  var timeoutMs = 60000;
  var numRetries = 5;
  var intervalMs = 500;

  for (var i = 0; i < numRetries; i++) {
    try {
      var status = BigQuery.Jobs.get(projectId, job.jobReference.jobId).status;
      if (status.errorResult) {
        throw "Error inserting into BigQuery: " + JSON.stringify(status.errorResult);
      }

      Utilities.sleep(timeoutMs);
      return job.jobReference.jobId;
    }
    catch (err) {
      Logger.log("Error inserting into BigQuery: " + err);

      if (i == numRetries - 1) {
        throw "Error inserting into BigQuery: " + err;
      }
      Utilities.sleep(intervalMs);
    }
  }
}

此代码将尝试向项目中的数据集表中插入数据。如果表中的行数已达到最大值（50,000行），则会抛出一个异常。如果插入过程中出现错误，则会使用重试逻辑重复