Discussions

Hi everyone,

I’m currently working on a project where I need to process extremely large datasets using Apache Hive, and I’ve been running into performance issues with some of my queries. Even relatively simple joins are taking a long time to complete, and I suspect my approach isn’t optimal for the scale I’m working with.

I’m particularly interested in understanding:

What are the best practices for optimizing Hive queries on large datasets?

How can partitioning, bucketing, or indexing improve query performance, and in what scenarios are each of these techniques most effective?

Are there any tips for avoiding common pitfalls that can drastically slow down queries?

I’d really appreciate it if anyone could share their experiences, examples, or resources that could help me improve performance while keeping queries maintainable.

Thanks in advance for your insights!

ragdoll hit