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Thanks for merging !
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thanks, merging to master!
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LGTM
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retest this please
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In general cast is hard to be pushed into data source, e.g. `cast(a as
string) = string` if a is int, how should data source handle it?
In the meanwhile, I think we can omit most of the
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And also I think we have same problem for datasource table.
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@cloud-fan
Sorry for late reply, so busy these days.
In current change:
1. I follow `Cast.mayTruncate` strictly when extract partition Attribute;
2. I created new test data in
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> select count(1) from test where dt=20180101
This should be forbidden, users should rewrite it into `dt="20180101"`
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@cloud-fan
I removed some cases in `ExtractAttribute`. But to make it clear, do you
mean that in below scenario, we don't prune partitions?
```
create table test(id int, string)
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@cloud-fan
Thanks a lot for looking into this.
I updated the change and generalized `ExtractAttribute`
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I rebased this pr and resolved conflicts.
cc @cloud-fan @jiangxb1987 Not sure if you have interest on this.
Take a look if have time. Thanks !
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@gatorsmile
Thanks a lot for review this pr :)
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True, I restrict it to be Cast (string_typed_attr as integral types) and
`EqualTo`. `Not(EqualTo)` is not included, since the extra burden put to
metastore is minor.
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The direction is right, but we need to restrict it to Cast
(string_typed_attr as integral types) and the operator types must be either
equal or not equal
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Thanks again for review this pr.
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@gatorsmile
Thanks a lot for your help :)
>Can we just evaluate the right side CAST(2017 as STRING), since it is
foldable?
Do you mean to add a new rule ? -- cast the type
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For such cases,
```Scala
CREATE TABLE test (value INT) PARTITIONED BY (dt STRING)
SELECT * from test where dt=2017
```
Can we just evaluate the right side `CAST(2017 as
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