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Optimization of bulk operation performances within Oracle database

机译:优化Oracle数据库中的批量操作性能

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The Oracle database enables use of bulk operation in order to reduce time needed for commands execution over a large amount of data. Operations are called using PL/SQL programming language. Advantage of these operations is that they transfer a large amount of data in a single step to SQL engine where they are executed. Bulk operation may also be used with a limitation to maximal number of lines transferred in a single step between PL/SQL engine and SQL engine. This limitation is specified by the LIMIT parameter. In this paper, performances of inquiry are compared to different values of LIMIT parameter. In this way, we have shown which amount of data is optimal for transfer in a single step, and how further increase influences performances. It is also described what influences optimal amount of data that may be transferred in a single step. Different configurations of memory structures were tested within the Oracle itself (SGA and PGA areas) as well as how their changes influence performances. Influence of data types on optimal amount of data was compared, as well as a role of a processor. The method used for verification of optimal values was arithmetical means of execution times for certain inquiries over database. Measurements were done on the same data in several occasions in order to obtain highly precise value and to eliminate possible background processes that are executed in the computer.
机译:Oracle数据库允许使用批量操作,以减少在大量数据上执行命令所需的时间。使用PL / SQL编程语言调用操作。这些操作的优势在于,它们可以在单个步骤中将大量数据传输到执行它们的SQL引擎。也可以使用批量操作,但要限制在PL / SQL引擎和SQL引擎之间的单个步骤中传输的最大行数。此限制由LIMIT参数指定。本文将查询性能与LIMIT参数的不同值进行比较。通过这种方式,我们已经显示了在单个步骤中最适合传输的数据量,以及进一步增加的数据量如何影响性能。还描述了什么因素会影响可能在单个步骤中传输的最佳数据量。在Oracle本身(SGA和PGA区域)内测试了内存结构的不同配置,以及它们的更改如何影响性能。比较了数据类型对最佳数据量的影响以及处理器的作用。用于验证最佳值的方法是对数据库中某些查询的执行时间的算术方法。为了获得高度精确的值并消除了计算机中可能执行的后台处理,曾多次对同一数据进行测量。

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