Date format in Apply SQL Transformation

Question

I'm trying to read data from an Azure SQL database to an ML Studio experiment and do a SQL transformation on it. 
The data has a DateTime column in the following format: YYYY-MM-DDTHH:MM:SS.SSS, but as it gets passed to the Apply SQL Transformation module it somehow changes into the 12-hour format: DD/MM/YYYY HH:MM:SSAM/PM
This means that I cannot use the strftime()-function in the SQL module. Any way to get around this?

Answer 1

We're working on fixing the DateTime handling in SQL module. Meanwhile you can try the following workaround:
1) Before using Apply SQL module, convert dates into strings with format “yyyy-mm-dd” that SQLite can parse.
2) Use SQLite date() function to convert those strings back to dates
The step 1) can be accomplished using Execute Python module (here “DateTime” is the name of column with dates), for example:
import datetime as dt
import pandas as pd
def azureml_main(dataframe1 = None, dataframe2 = None):
    c= dataframe1['DateTime']
    cs = []
    for elem in c:
        cs.append(str(dt.date.fromtimestamp(elem)))
    return pd.DataFrame({"DateTime":cs}),
The SQL script in step 2 would look like, for example:
select * from t1 where date(t1."DateTime") < "2005-07-25" ;