Debugging Big Data Analytics in Spark with BigDebug

被引：7
|
作者：
Gulzar, Muhammad Ali [1 ]
Interlandi, Matteo [1 ]
Condie, Tyson [1 ]
Kim, Miryung [1 ]
机构：
[1] Univ Calif Los Angeles, Los Angeles, CA 90095 USA
来源：
SIGMOD'17: PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA | 2017年
关键词：
D O I：
10.1145/3035918.3058737
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To process massive quantities of data, developers leverage Data-Intensive Scalable Computing (DISC) systems such as Apache Spark. In terms of debugging, DISC systems support only postmortem log analysis and do not provide any debugging functionality. This demonstration paper showcases BIGDEBUG: a tool enhancing Apache Spark with a set of interactive debugging features that can help users in debug their Big Data Applications.
引用
收藏
页码：1627 / 1630
页数：4
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