Impala brings SQL to Hadoop, but it also brings SQL performance tuning to those using the platform. This technical session will cover several topics in Impala performance analysis including understanding query execution plans, the use of query hints, interpreting Impala’s built-in query instrumentation as well as examination of Impala’s hardware resource utilization for different queries and workloads. We’ll also discuss design choices like table partitioning and file formats, including the Parquet columnar storage format for Hadoop.
Greg Rahn is a Solutions Architect in the Partner Engineering group at Cloudera. He focuses on helping Cloudera’s hardware partners optimize their platforms for Hadoop. In addition, he works on performance engineering and benchmarking for the Impala project. Before joining Cloudera, Greg worked for eight years as a database performance engineer at Oracle in the esteemed Real-World Performance Group in the Server Technologies organization.
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