batch run

简明释义

成批运行

英英释义

例句

1.You can automate the batch run 批处理运行 process using scripts.

您可以使用脚本自动化批处理运行 batch run 过程。

2.The software allows users to perform a batch run 批处理运行 to process multiple files at once.

该软件允许用户执行批处理运行 batch run 一次处理多个文件。

3.After configuring the settings, initiate the batch run 批处理运行 to start the analysis.

配置好设置后，启动批处理运行 batch run 开始分析。

4.The system crashed during the last batch run 批处理运行, causing data loss.

在上一次的批处理运行 batch run 中系统崩溃，导致数据丢失。

5.We need to schedule a batch run 批处理运行 for the data migration tonight.

我们需要安排一个批处理运行 batch run 用于今晚的数据迁移。

作文

In the world of computing and data processing, the term batch run refers to the execution of a series of jobs or tasks in a group, rather than one at a time. This method is particularly beneficial in scenarios where large volumes of data need to be processed efficiently. For instance, consider a scenario in a financial institution where thousands of transactions need to be processed daily. Instead of handling each transaction separately, the bank can perform a batch run to process all transactions simultaneously during off-peak hours. This not only saves time but also optimizes resource utilization.The concept of a batch run is rooted in the idea of automation and efficiency. In traditional computing environments, tasks were often executed sequentially, which could lead to significant delays, especially when dealing with extensive datasets. By employing batch runs, organizations can minimize idle time for their systems and maximize throughput. For example, a company might use a batch run to generate monthly reports from its database. Instead of waiting for each report to finish before starting the next, the system can execute all report generation tasks in one go, significantly reducing the overall processing time.Moreover, batch runs can be scheduled at specific times, allowing businesses to take advantage of lower system loads during off-hours. This scheduling capability is particularly useful for organizations that operate 24/7, as it enables them to perform necessary maintenance and updates without disrupting regular operations. For instance, a retail company might schedule a batch run of inventory updates late at night when fewer customers are online. This ensures that the system remains responsive during peak shopping hours while still keeping the inventory data accurate and up to date.However, implementing batch runs is not without its challenges. One major concern is the potential for errors during processing. If a single job within a batch run fails, it may affect the entire batch, leading to wasted resources and time. Therefore, it's crucial for organizations to have robust error-handling mechanisms in place. Additionally, the size of the batch can also impact performance. While larger batches may seem efficient, they can overwhelm system resources and lead to slower processing times. Finding the right balance between batch size and system capacity is essential for optimal performance.Another consideration is the type of tasks being executed in a batch run. Some tasks may require immediate attention or real-time processing, making them unsuitable for batch execution. For example, customer service queries or urgent transaction approvals need to be handled as they arise, rather than waiting for a scheduled batch run. Thus, organizations must carefully assess which processes are appropriate for batching and which should remain real-time.In conclusion, the concept of a batch run is a powerful tool in the realm of data processing and computing. It allows organizations to execute multiple tasks efficiently and effectively, saving time and resources. However, careful planning and consideration are necessary to mitigate potential risks associated with this approach. By understanding the benefits and limitations of batch runs, organizations can leverage this method to enhance their operational efficiency and improve overall productivity.

在计算机和数据处理的世界中，术语batch run指的是一系列作业或任务的批量执行，而不是逐个执行。这种方法在需要高效处理大量数据的场景中特别有益。例如，考虑一个金融机构的场景，每天需要处理成千上万的交易。银行可以在非高峰时段进行batch run，以同时处理所有交易，而不是单独处理每一笔交易。这不仅节省了时间，还优化了资源利用。batch run的概念根植于自动化和效率的思想。在传统计算环境中，任务通常是顺序执行的，这可能导致显著的延迟，尤其是在处理大量数据集时。通过采用batch runs，组织可以最小化系统的空闲时间并最大化吞吐量。例如，一家公司可能会使用batch run从其数据库生成月度报告。系统可以一次性执行所有报告生成任务，而不必等待每个报告完成后再开始下一个，从而显著减少整体处理时间。此外，batch runs可以在特定时间调度，使企业能够利用低系统负载的非高峰时段。这种调度能力对于24/7运营的组织特别有用，因为它使他们能够在不干扰正常操作的情况下执行必要的维护和更新。例如，一家零售公司可能会在深夜调度一次batch run进行库存更新。这确保了在高峰购物时段系统保持响应，同时保持库存数据的准确性和最新性。然而，实施batch runs并非没有挑战。一个主要问题是处理过程中可能出现的错误。如果batch run中的一个作业失败，可能会影响整个批次，从而导致资源和时间的浪费。因此，组织必须具备强大的错误处理机制。此外，批次的大小也可能影响性能。虽然较大的批次似乎更有效，但它们可能会使系统资源超负荷，从而导致处理速度变慢。找到批次大小与系统容量之间的正确平衡对实现最佳性能至关重要。另一个考虑因素是执行batch run的任务类型。一些任务可能需要立即关注或实时处理，使其不适合批量执行。例如，客户服务查询或紧急交易审批需要在发生时处理，而不是等待计划的batch run。因此，组织必须仔细评估哪些流程适合批处理，哪些应该保持实时。总之，batch run的概念是数据处理和计算领域中的一种强大工具。它允许组织高效、有效地执行多个任务，节省时间和资源。然而，仔细规划和考虑是必要的，以减轻与这种方法相关的潜在风险。通过理解batch runs的好处和局限性，组织可以利用这种方法来增强其运营效率，提高整体生产力。