Dear Apache Hive community,
We are delighted to announce the support of Tez on Uniffle. Uniffle havs supported Apache Spark, Apache,Hadoop MapReduce and Apache Tez. Uniffle is a remote shuffle service. In several situations, Uniffle will provide great help. 1. If you use AWS spot instances or mix resources, tasks may be preempted. It will be great if we store shuffle data in the Uniffle and we can deploy Uniffle on some stable resource. It will improve the stability of tasks. If tasks are preempted, we won’t recompute tasks if we store shuffle in the Uniffle. 2. For large shuffle jobs, Uniffle can reduce random IO for the jobs. Uniffle can improve the performance of jobs. For 1TB MapReduce Terasort, 1w map tasks, 1w reduce tasks, job performance will increase 30%. We also welcome pull requests and are eager to see how you might use Uniffle to make Hive more user-friendly. More information, you can access https://github.com/apache/incubator-uniffle Best Rory
