ATHENA IDPROTECT KEY V2 MANUAL

This results in reading fewer rows and partitions from the source for Table_A and helping reduce query runtime and data scan size, which in turn helps reduce the costs of running the query in Athena. ItвЂ™s used to filter out unnecessary rows and partitions of Table_A. After the selective filter is applied to Table_B, a value list for a joined column Table_B.date is extracted first, and itвЂ™s pushed down to a joined table Table_A as a filter. In the following query, Table_B is a small table with a very selective filter. More efficient joins via dynamic filtering and dynamic partition pruningДynamic filtering and dynamic partition pruning improves the query runtime and reduces data scanned for queries with joins and a very selective filter clause for the table on the right side of join, as shown in the following example. A few such enhancements are highlighted in the following sections. The result is an engine with continuously increasing performance and cost-effectiveness benefits that are automatically available to you. WeвЂ™re continuously improving AthenaвЂ™s engine with enhancements developed by Athena and AWS engineering teams as well as incorporating contributions from the PrestoDB and Trino community. The Athena engine is built upon Presto, an open-source distributed SQL query engine optimized for low latency. Now, letвЂ™s look at some of the enhancements in engine V2 that contributed towards these astounding results. For this set of queries, runtime improved by 6.9 times. The following graph shows the 10 TPC-DS queries with the largest improvement in runtime. Queries in our benchmark were consistently more performant with engine V2. As shown in the following graph, we found that the data scanned вЂ“ and the resulting per-query costs вЂ“ were 70% lower with engine V2. We also compared the amount of data scanned by queries in this benchmark. The following graph illustrates the total runtime of queries on engines V1 and V2 and shows runtime was 3x faster on engine V2. This means up to 3 queries were in a running state at any given time and the next query was submitted as soon as one of the 3 running queries completed. We ran the queries with a concurrency of 3. We selected 71 of the 99 queries from the TPC-DS benchmark that best illustrated the differences between engines V1 and V2. Fact tables were partitioned on the date column used for join operations and each fact table consisted of 2,000 partitions. In our testing, the dataset was stored in Amazon S3 in non-compressed Parquet format with no additional optimizations and the AWS Glue Data Catalog was used to store metadata for databases and tables. This means a 3 TB benchmark dataset accurately represents customer workloads on 30вЂ“50 TB datasets. These benchmark tests have a range of accuracy within +/- 10% and are representative of workloads with 10 times the stated benchmark size. We used the industry-standard TPC-DS 3 TB to represent different customer use cases. Performance and cost comparison on TPC-DS benchmarks We performed benchmark testing on our latest engine using TPC-DS benchmark queries at 3 TB scale and observed that query performance improved by 3x and cost decreased by 70% as a result of reduced scanned data size when compared to our earlier engine. In this post, we discuss the performance benchmarks and performance enhancements of AthenaвЂ™s latest engine.

ATHENA IDPROTECT KEY V2 MANUAL

Engine enhancements are released frequently and are automatically available to you without the need for manual intervention. Today, V2 is the default engine version for every Athena workgroup and it includes additional enhancements made since its first release. In November 2020, Athena announced the General Availability of the V2 version of its core engine in addition to performance enhancements and new feature capabilities. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) using standard SQL.

Athena idprotect key v2