RBQL: Support monocolumn policy about sublime_rainbow_csv

[mechatroner]

@KaminoU I just published version 1.5.0, now you can run RBQL even for non-table files - just enter "Rainbow CSV: RBQL" command and it should work! Also updated RBQL supports named columns like a.Age or a.phone_number.
If you see any problems - please let me know.

[mechatroner]

Hi @KaminoU ,
In queries without ORDER BY/GROUP BY it is possible to use the following trick:
SELECT * WHERE NR == 1 or re.match('GP001189', a2)
Or something like this if you are doing string transformations:
SELECT int(a3) / 1000 if NR > 1 else a3, *
In more complex cases, I think, the only possible solution would be to use UNION as you suggested, but it is not supported (yet?)

[KaminoU]

The trick works well thx =)

Btw, is there a more friendly way to select on date ? for a specific year for example SELECT * WHERE NR == 1 OR re.match("\d{2}/\d{2}/2019", a55)

regex could be painful... lol

Ayway thank you for this great trick! ^^

[KaminoU]

@mechatroner

Sorry to bother you again, is there a way to work directly on an whole row?

We have only columns, designed by a1...a{n} but what if we want to work directly on the whole line?

The main reason I ask it is because I need to know in my input CSV file, if there is any weirds non printable characters or not SELECT count(1) WHERE re.findall('\x0D\x0A', 'full_row') for example

Thank you again for your reply

[mechatroner]

@KaminoU
For string parsing you can do something like this:
select * where datetime.datetime.strptime(a55, "%d/%m/%Y").year == 2019
If you are often working with the the dates in the same format you can create a UDF in the ~/.rbql_init_source.py file:

def get_year(src_str):
    return year datetime.datetime.strptime(src_str, "%d/%m/%Y").year

Regarding full_rows, I was sure that it is possible to do this, but turns out it is not, so I will have to fix this. For now you can use standalone rbql package with "monocolumn" policy:

$ pip install rbql
$ rbql-py --input /path/to/input.txt --policy monocolumn --delim ''

[KaminoU]

wow!!!!!!! =D

Thank you very much!!! ^^

I am eager to see the new fix for the column and union =)