How to emulate temporary tables in Athena
Currently (I wrote this article in October 2020), Athena does not support temporary tables, but we can easily emulate them using the CREATE TABLE AS SELECT statements:
1 2 3 4 CREATE TABLE some_temp_table WITH (format = 'PARQUET') AS SELECT column_A, column_B, column_C FROM source_table;
Unfortunately, we have to remember about removing the table when we no longer need it.
1 DROP TABLE some_temp_table
If we don’t specify the S3 location, Athena will use the default results bucket as the storage location. I think it is good enough in the case of a temporary table.
Note that I used Parquet as the storage file type. In general, you should pick a file format that is best for the operations you want to perform later. Parquet is a columnar storage file that stores metadata about the content to scan and find the relevant data quickly.
Because the table we create is just a regular table, we can also use partitioning:
1 2 3 4 5 6 7 CREATE TABLE some_temp_table WITH ( format = 'PARQUET', partitioned_by = ARRAY['column_A']) ) AS SELECT column_A, column_B, column_C FROM source_table;
Did you enjoy reading this article?
Would you like to learn more about software craft in data engineering and MLOps?
Subscribe to the newsletter or add this blog to your RSS reader (does anyone still use them?) to get a notification when I publish a new essay!
You may also like
- Data/MLOps engineer by day
- DevRel/copywriter by night
- Python and data engineering trainer
- Conference speaker
- Contributed a chapter to the book "97 Things Every Data Engineer Should Know"
- Twitter: @mikulskibartosz