You can speed up your queries dramatically by compressing your data, provided that files are splittable or of an optimal size (optimal S3 file size is between 200MB-1GB). Smaller data sizes mean less network traffic between Amazon S3 to Athena.3 jun 2021
How many Athena queries can run in parallel?
Concurrency quotas in Athena are defined as the number of queries that can be submitted to the service concurrently. You can submit up to twenty queries of the same type ( DDL or SELECT ) at a time.17 may 2018
Is AWS Athena fast?
Query Run time
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Speedup 98% faster
Why do Athena queries take so long?
These resources are shared by all users in the Region. Your queries might be temporarily queued before they run. Queries generally take a long time to run because of either a higher queuing time or a higher engine processing time.14 may 2021
What are the limitations of Athena?
- Athena's users can use AWS Glue, a data catalog and ETL service. Ahena's partition limit is 20,000 per table and Glue's limit is 1,000,000 partitions per table.
- A Create Table As (CTAS) or INSERT INTO query can only create up to 100 partitions in a destination table.
Is Athena scalable?
Athena scales automatically – executing queries in parallel – so results are fast, even with large datasets and complex queries.
Can we store data in Athena?
Amazon Athena supports a wide variety of data formats like CSV, TSV, JSON, or Textfiles and also supports open source columnar formats such as Apache ORC and Apache Parquet. Athena also supports compressed data in Snappy, Zlib, LZO, and GZIP formats.
What is Athena Big data?
Amazon Athena is an interactive query service that makes it easy to analyze data directly from Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to set up or manage and you can start analyzing your data immediately. ... Athena uses Presto, a distributed SQL engine to run queries.30 nov 2016