Pig Latin在Hadoop集群上的TPC-H基准测试

Rim Moussa
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引用次数: 8

摘要

一些公司报告了从关系数据库管理系统迁移到NoSQL系统(不仅仅是SQL)后的成功案例。后者似乎在大多数数据存储领域占据主导地位。必须正确使用这些技术,企业必须意识到NoSQL的局限性,才能提供真正的好处。Pig Latin是一种高级语言,用于表达数据分析程序,并在Hadoop分布式文件系统上实现MapReduce框架。本文使用著名的TPC-H基准测试(决策支持系统基准测试)对Pig Latin进行了基准测试,并报告了GRID5000集群上不同设置的性能结果。
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TPC-H benchmarking of Pig Latin on a Hadoop cluster
Several companies report success stories after migration from relational database management systems to NoSQL systems (Not only SQL). The latter seem to take over in most data storage fields. These technologies must be used properly, and businesses must be aware of the limitations of NoSQL, for providing real benefits. Pig Latin is a high-level language for expressing data analysis programs, and implementing the MapReduce framework on top of Hadoop Distributed File System. This paper benchmarks Pig Latin using the well known TPC-H benchmark -a Decision Support System benchmark, and reports performance results for different settings on GRID5000 clusters.
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