Impala: A Modern, Open-Source SQL Engine for Hadoop

By Marcel Kornacker, Alexander Behm, Victor Bittorf, Taras Bobrovytsky, Casey Ching, Alan Choi, Justin Erickson, M. Grund, Daniel Hecht, M. Jacobs and 13 more. Conference on Innovative Data Systems Research, 2015

394 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7a75c886b043e7c3f77829412774de27648f384a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Matei A. Zaharia
2. Reynold Xin
3. A. Ghodsi
4. Michael Armbrust
5. M. Franklin
6. Xiangrui Meng
7. Joseph K. Bradley
8. Davies Liu

Citations in the corpus

• Spark SQL: Relational Data Processing in Spark (2015, methodology): “Query 4 uses a Pythonbased Hive UDF that was not directly supported in Impala, but was largely bound by the CPU cost of the UDF.”