Hi,

all kidding aside then this renders Drill+Parquet unusable for us at the
moment.

If there is a quick fix then please let me know. :)

Regards,
 -Stefan

On Tue, Jul 21, 2015 at 5:37 PM, Stefán Baxter <ste...@activitystream.com>
wrote:

> Well,
>
> After some more testing it appears that this has nothing to do with trim.
> (any non existing nested-value will be pushed aside)
>
> select p.dimensions.budgetLevel as `field1`, lower(p.dimensions.adults) as
> `field2` from dfs.tmp.`/test/0_0_0.parquet` as p;
>
> also returns:
> +---------+---------+
> | field1  | field2  |
> +---------+---------+
> | a       | null    |
> +---------+---------+
>
> I just as puzzled though :)
>
> Regards,
>  -Stefan
>
> On Tue, Jul 21, 2015 at 5:32 PM, Stefán Baxter <ste...@activitystream.com>
> wrote:
>
>> Hi,
>>
>> Here is small trick I think you will like :).
>>
>>    - With this minimal dataset as /tmp/test.json:
>>    {"dimensions":{"adults":"A"}}
>>
>>    - Running this:
>>    select lower(p.dimensions.budgetLevel) as `field1`,
>>    lower(p.dimensions.adults) as `field2` from dfs.tmp.`/test.json` as p;
>>
>>    - To no surprise returns this:
>>    +---------+---------+
>>    | field1  | field2  |
>>    +---------+---------+
>>    | null    | a       |
>>    +---------+---------+
>>
>> Here comes the trick(y) part (hold your breath):
>>
>>    - With the same data as a Parquet file
>>    CREATE TABLE dfs.tmp.`/test` AS SELECT * FROM dfs.tmp.`/test.json`;
>>
>>    - The same query:
>>    select lower(p.dimensions.budgetLevel) as `field1`,
>>    lower(p.dimensions.adults) as `field2` from dfs.tmp.`/test/0_0_0.parquet`
>>    as p;
>>
>>    - Return this:
>>    +---------+---------+
>>    | field1  | field2  |
>>    +---------+---------+
>>    | a       | null    |
>>    +---------+---------+
>>
>> ta ta !
>>
>> Best regards,
>>  -Stefan
>>
>>
>>
>>
>

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