4 posts tagged with "Hive 4"

In this article, we report the results of evaluating the performance of the following systems using the 10TB TPC-DS Benchmark.

1. Trino 468 (released in December 2024)
2. Spark 4.0.0-RC2 (released in March 2025)
3. Hive 4.0.0 on Tez (built in February 2025)
4. Hive 4.0.0 on MR3 2.0 (released in April 2025)

Trino is an MPP-style query engine and is not fault-tolerant. The other three systems are fully fault-tolerant.

Introduction​

In our previous article, we evaluated the performance of Hive 4 on MR3 1.11 and Trino 453 on the 10TB TPC-DS benchmark. The results can be summarized as follows:

• In terms of the total running time, Hive 4 on MR3 runs slightly faster than Trino -- Hive 4 on MR3 5744 seconds vs Trino 5798 seconds.
• In terms of the geometric mean of running times, Trino responds about 15 percent faster than Hive 4 on MR3 -- Trino 17.99 seconds vs Hive 4 on MR3 21.02 seconds.

Introduction​

Recently Apache Hive 4 was released after a hiatus of several years. We have released Hive 4 on MR3 which replaces Tez with MR3 as the default execution engine in Hive 4.

Introduction​

In our previous article published in October 2018, we use the TPC-DS benchmark to compare the performance of Hive-LLAP in HDP 3.0.1 (as well as HDP 2.6.4) and Hive 3 on MR3 0.4. We have shown that Hive 3 on MR3 yields consistently higher throughput than Hive-LLAP in concurrency tests, but since then, the performance of Hive-LLAP has improved considerably for concurrent queries. Thus we are interested in the question of how Hive on MR3 compares with Hive-LLAP in the latest lease of HDP.