Batch and query applications typically do a lot of sequential processing, while data access for OLTP tends to be more random in nature.
批处理和查询应用程序通常要进行大量的顺序处理，而用于OLTP的数据访问往往更具有随机性。
Support of external table creation, access, load, and unload from within the stored procedures makes it easier to perform the batch load and unload operations.
存储过程中的外部表创建、访问、加载和卸载支持允许您更轻松地执行批加载和卸载操作。
Like batch processor, it too USES a configuration file so that it can access the EJBs of MDM Server.
像批处理器一样，它也使用一个配置文件，因而可以访问MDMServer的EJBs。
Determining which users or groups need to be in the access list of the profiles that have been defined, for batch, CICS, and IMS connections is straightforward.
对于批、CICS和IMS连接，确定哪些用户或组需要处于已经定义了的配置文件的访问列表中比较简单。
Batch file in the standalone subdirectory that will set up the classpath to access the dependent library JAR files. This batch file contains.
在standalone子目录中还有一个run. bat批处理文件，该文件将设置classpath以访问相关的库jar文件。
Separate profiles control access from different environments on z/OS, such as CICS, IMS, batch, DB2 stored procedures, and so on. Here are the four profiles that can be defined in the MQCONN class
不同的配置文件控制来自z/OS上的不同环境的访问，比如CICS、IMS、批作业、DB2存储过程等。
This technology is batch-oriented and does not provide real-time access to data.
这种技术面向批量处理，不提供数据的实时访问。
Be mindful of repaints and reflows; batch style changes, manipulate the DOM tree "offline," and cache and minimize access to layout information.
注意重绘和重排版；批量修改风格，离线操作DOM树，缓存并减少对布局信息的访问。
To access the Batch Editor open a Spring XML bean definition file with Batch jobs in it with the Spring Config Editor and select the batch-graph tab.
要想访问该编辑器，请使用SpringConfigEditor打开一个SpringXMLbean定义文件（里面有Batchjobs）并选择batch-graph标签。
Thereby, batch processing suffers those who protect data to access the job to also can become simple and easy and fast.
从而，批量处理受保护数据的存取工作也会变得简易快速。
Lets you access the rows processed during a batch update operation.
允许您访问在批处理更新操作期间已处理的行。
HDFS is designed more for batch processing rather than interactive use by users. The emphasis is on high throughput of data access rather than low latency of data access.
HDFS设计为批处理模式，而不是交互模式。强调高吞吐量而不是低延时。
HDFS is designed more for batch processing rather than interactive use by users. The emphasis is on high throughput of data access rather than low latency of data access.
HDFS设计为批处理模式，而不是交互模式。强调高吞吐量而不是低延时。
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