Efficient data analysis and visualization heavily rely on the performance of aggregations in Opensearch. However, optimizing the performance of aggregations in the multi-phase and distributed nature of search queries poses significant challenges. In this session, we delve into the inner workings of the OpenSearch query engine, uncovering insightful examples and code walkthroughs that empower you to unlock the true potential of aggregation processing.
Discover clever techniques for identifying performance bottlenecks and gain a comprehensive understanding of smart query rewriting techniques like cardinality filtering, range slicing, early collection termination, and multi-range traversal. These advanced techniques offer a remarkable peek into the query engine's inner workings, enabling you to significantly enhance the speed and efficiency of data aggregation in Opensearch.
Prepare to revolutionize your data analysis workflows as you harness the power of these optimization strategies, propelling your aggregation performance to new heights. Experience the unprecedented speed and responsiveness of Opensearch, accelerating your data analysis and visualization tasks by an astounding 100x