Then use the from_iso8601_timestamp() function to read the ts field as TIMESTAMP. If your input data is in ISO 8601 format, as in the following: Note: The format in the date_parse(string,format) function must be the TIMESTAMP format that's used in your data. Adds the specified number of months to a date or timestamp. Then use the date_parse function as shown in the following example: SELECT date_parse(ts,'%Y%m%dT%h%i%s') FROM timestamptestcsv3 Concatenates a date to a time on either side of the + symbol and returns a TIMESTAMP or TIMESTAMPTZ. If your input data is in the following format: 20200921T015005 LOCATION 's3://doc-example-bucket/path-to-data/' Use Presto's date and time functions to read the column as DATE or TIMESTAMP in your query Run a command similar to the following: CREATE EXTERNAL TABLE 'test' ('ts' STRING) Use Presto's date and time functions to read the column as DATE or TIMESTAMP in your query.To change TIMESTAMP data to the correct format: Athena requires the Java TIMESTAMP format: YYYY-MM-DD HH:MM:SS.fffffffff 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.The TIMESTAMP data might be in the wrong format. This allows authors in QuickSight to implement advanced calculations without having to use complicated date offsets in calculations to. 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. Amazon QuickSight recently added native support for comparative (e.g., year-over-year) and cumulative (e.g., year-to-date) period functions which allow you to easily introduce these calculations in business reporting, trend analysis and time series analysis. 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" Use Presto's date and time functions to read the column as DATE or TIMESTAMP in your query. To change TIMESTAMP data to the correct format: Define the column as STRING. How to use SQL to Query S3 files with AWS Athena Step by Step TutorialAthena supports the following formats: TINYINT. Athena requires the Java TIMESTAMP format: YYYY-MM-DD HH:MM:SS.fffffffff. As mentioned above, you can achieve it using from_iso8601_timestamp. The TIMESTAMP data might be in the wrong format. 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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