When Hadoop Gets Stuck: Debugging Hive
Join the DZone community and get the full member experience.
Join For FreeThis recent article from David Chaiken at Altiscale discusses how to debug Hive (Hadoop) through an anecdote regarding a customer's struggling Hive job. According to Chaiken, there are downsides to working with Hadoop - "[it] is powerful," he says, "and it’s experiencing a tremendous rate of innovation, but it also has many rough edges" - and sometimes Hadoop does not offer a lot of information in terms of what has gone wrong.
The error in Chaiken's anecdote is eventually solved, and it's a simple mistake that snowballs into a bigger problem because of some of these rough edges in Hadoop, but Chaiken's walk-through of his solution provides an interesting look at debugging a Hive job when the problem is unclear. Take a look at the full article and find out one way to approach a Hive job that has lost its way.
Opinions expressed by DZone contributors are their own.
Trending
-
Building a Java Payment App With Marqeta
-
Auto-Scaling Kinesis Data Streams Applications on Kubernetes
-
AWS Multi-Region Resiliency Aurora MySQL Global DB With Headless Clusters
-
8 Data Anonymization Techniques to Safeguard User PII Data
Comments