11/18/2023 0 Comments Datediff athena awsThese functions are powerful tools for manipulating and analyzing time series data in Amazon Athena/Presto. ConclusionĬalculating time difference in Amazon Athena/Presto is straightforward once you understand the key functions like date_diff() and extract(). This will calculate the time difference in seconds and minutes from the TIME or DATE column time_data. SELECT ( extract ( minute FROM time_data ) * 60 + extract ( second FROM time_data )) as time_diff_seconds, extract ( minute FROM time_data ) as time_diff_minutes FROM your_table Here’s how to calculate the time difference: Now, let’s dive into how to calculate time difference in seconds and minutes.Ĭonsider a dataset with start_time and end_time column values in TIMESTAMP format. extract(field FROM source)Ĭalculating Time Difference in Seconds or Minutes The extract() function allows you to extract fields such as year, month, day, hour, minute, second from a date or time value. Here’s the syntax: date_diff(unit, timestamp1, timestamp2) It can be used to calculate the difference in various units like second, minute, hour, day, etc. The date_diff() function in Presto returns the difference between two dates, times, or timestamps. For calculating time difference, the key functions we will use are date_diff() and extract(). Presto provides a wide range of date and time functions to manipulate data. This article will guide you on how to calculate time difference in seconds and minutes using Amazon Athena/Presto. For data scientists and software engineers dealing with time series data, calculating time difference is a frequent requirement. So I really do actually need to create the table from the logs in the S3 bucket, and sort the date format out right at that point.| Miscellaneous How to Calculate Time Difference in Amazon Athena/PrestoĪmazon Athena, a serverless interactive query service, leverages Presto, an open-source distributed SQL query engine, to analyze data in Amazon S3. The connector also won't connect to Athena views, since I thought about making a view out of the table, and fixing the datatype there. And this cannot be based on my computed column where we are in a pucka timestamp format. My problem is that the Google Data Studio to AWS Athena connector selects the most recent data within a window that you specify, using an Athena table column that you specify. I am also able to cast the time field from text into a datetime format that Google Data Studio is happy with, and so I can query based on proper timestamps. I found an open source connector, which works a treat, and I am able to connect to the alb logs table. But my problem is complicated by the fact that I'm plugging into Athena from another system, namely Google Data Studio. This is great advice, and the queries listed above do work well when I need to query directly against the Athena table. Output: # "date_name","date_column","Todays_Date","difference" As mentioned above, you can achieve it using from_iso8601_timestamp. Select date_parse(lineitem_usagestartdate,'%Y-%m-%dT%H:%i:%s%Z') as lineitem_usagestartdateįor now, my preference would be to use date_parse for date-sensitive queries instead of modifying incoming Cost and Usage data. One alternative is to use date_parse in SQL statements that involve date operations. This is feasible, however I'd like to stay away as much as possible from altering incoming data since this will have an impact on other components that use CUR data and the code in this repo. If I declare the column as either DATE or TIMESTAMP, I get the following error when executing a query that uses that column: "HIVE_BAD_DATA: Error parsing field value '' for field 6: For input string: """Ī way around this issue would be to modify the text in incoming Cost and Usage records, such that timestamp columns can be parsed by Athena. Athena supports the followingįormats: TINYINT, SMALLINT, INT, BIGINT, BOOLEAN, DOUBLE ,STRING, TIMESTAMP, DECIMAL, DATE (not supported for PARQUET file_format) and VARCHAR.ĭate columns in the AWS Cost and Usage report come in the following format: '', which is not recognized by Athena when creating a table. I looked at some options and did some testing regarding this issue.
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