On 18 September 2016 at 09:27, Dave Cramer <p...@fastcrypt.com> wrote:
>
> On 10 August 2016 at 01:53, Pavel Stehule <pavel.steh...@gmail.com> wrote:
>
>> Hi
>>
>> 2016-08-03 13:54 GMT+02:00 Alexey Grishchenko <agrishche...@pivotal.io>:
>>
>>> On Wed, Aug 3, 2016 at 12:49 PM, Alexey Grishchenko <
>>> agrishche...@pivotal.io> wrote:
>>>
>>>> Hi
>>>>
>>>> Current implementation of PL/Python does not allow the use of
>>>> multi-dimensional arrays, for both input and output parameters. This forces
>>>> end users to introduce workarounds like casting arrays to text before
>>>> passing them to the functions and parsing them after, which is an
>>>> error-prone approach
>>>>
>>>> This patch adds support for multi-dimensional arrays as both input and
>>>> output parameters for PL/Python functions. The number of dimensions
>>>> supported is limited by Postgres MAXDIM macrovariable, by default equal to
>>>> 6. Both input and output multi-dimensional arrays should have fixed
>>>> dimension sizes, i.e. 2-d arrays should represent MxN matrix, 3-d arrays
>>>> represent MxNxK cube, etc.
>>>>
>>>> This patch does not support multi-dimensional arrays of composite
>>>> types, as composite types in Python might be represented as iterators and
>>>> there is no obvious way to find out when the nested array stops and
>>>> composite type structure starts. For example, if we have a composite type
>>>> of (int, text), we can try to return "[ [ [1,'a'], [2,'b'] ], [ [3,'c'],
>>>> [4,'d'] ] ]", and it is hard to find out that the first two lists are
>>>> lists, and the third one represents structure. Things are getting even more
>>>> complex when you have arrays as members of composite type. This is why I
>>>> think this limitation is reasonable.
>>>>
>>>> Given the function:
>>>>
>>>> CREATE FUNCTION test_type_conversion_array_int4(x int4[]) RETURNS
>>>> int4[] AS $$
>>>> plpy.info(x, type(x))
>>>> return x
>>>> $$ LANGUAGE plpythonu;
>>>>
>>>> Before patch:
>>>>
>>>> # SELECT * FROM test_type_conversion_array_int
>>>> 4(ARRAY[[1,2,3],[4,5,6]]);
>>>> ERROR: cannot convert multidimensional array to Python list
>>>> DETAIL: PL/Python only supports one-dimensional arrays.
>>>> CONTEXT: PL/Python function "test_type_conversion_array_int4"
>>>>
>>>>
>>>> After patch:
>>>>
>>>> # SELECT * FROM test_type_conversion_array_int
>>>> 4(ARRAY[[1,2,3],[4,5,6]]);
>>>> INFO: ([[1, 2, 3], [4, 5, 6]], <type 'list'>)
>>>> test_type_conversion_array_int4
>>>> ---------------------------------
>>>> {{1,2,3},{4,5,6}}
>>>> (1 row)
>>>>
>>>>
>>>> --
>>>> Best regards,
>>>> Alexey Grishchenko
>>>>
>>>
>>> Also this patch incorporates the fix for https://www.postgresql.org
>>> /message-id/CAH38_tkwA5qgLV8zPN1OpPzhtkNKQb30n3xq-2NR9jUfv3q
>>> wHA%40mail.gmail.com, as they touch the same piece of code - array
>>> manipulation in PL/Python
>>>
>>>
>> I am sending review of this patch:
>>
>> 1. The implemented functionality is clearly benefit - passing MD arrays,
>> pretty faster passing bigger arrays
>> 2. I was able to use this patch cleanly without any errors or warnings
>> 3. There is no any error or warning
>> 4. All tests passed - I tested Python 2.7 and Python 3.5
>> 5. The code is well commented and clean
>> 6. For this new functionality the documentation is not necessary
>>
>> 7. I invite more regress tests for both directions (Python <-> Postgres)
>> for more than two dimensions
>>
>> My only one objection is not enough regress tests - after fixing this
>> patch will be ready for commiters.
>>
>> Good work, Alexey
>>
>> Thank you
>>
>> Regards
>>
>> Pavel
>>
>>
>>> --
>>> Best regards,
>>> Alexey Grishchenko
>>>
>>
>>
>
> Pavel,
>
> I will pick this up.
>
>
> Pavel,
Please see attached patch which provides more test cases
I just realized this patch contains the original patch as well. What is the
protocol for sending in subsequent patches ?
>
> Dave Cramer
>
> da...@postgresintl.com
> www.postgresintl.com
>
>
0002-PL-Python-adding-support-for-multi-dimensional-arrays.patch
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