You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@arrow.apache.org by "Neal Richardson (Jira)" <ji...@apache.org> on 2019/11/01 22:06:00 UTC
[jira] [Created] (ARROW-7047) [C++][Dataset] Filter expressions
should not require exact type match
Neal Richardson created ARROW-7047:
--------------------------------------
Summary: [C++][Dataset] Filter expressions should not require exact type match
Key: ARROW-7047
URL: https://issues.apache.org/jira/browse/ARROW-7047
Project: Apache Arrow
Issue Type: New Feature
Components: C++ - Dataset
Reporter: Neal Richardson
It's not trivial for users to be able to ensure that scalars are of identical type to the fields they relate to in Expressions. For one, FieldExpressions don't contain a type reference, so at the time when I construct {{field_ref("col1") > scalar(42)}}, I don't know exactly what type col1 is to be able to ensure that scalar(42) matches. Even if it were available, I wouldn't be able to determine what type to make it if the expression were {{(field_ref("col1") + field_ref("col2")) > scalar(42)}}.
We should allow CompareExpressions to cast the inputs as necessary. This should be among integer types and floating point types, and across integers and floats too. Likewise among date/timestamp types, and probably if comparing a string scalar against a date/timestamp column, the string should be parsed as a datetime. We also need to think about DictionaryTypes (though in practice this is moot until we have a comparison kernels that work on strings).
[~fsaintjacques][~bkietz]
--
This message was sent by Atlassian Jira
(v8.3.4#803005)