Does this system option not work:
ALTER SESSION SET `drill.exec.functions.cast_empty_string_to_null` = true;
The reason the bug was marked INVALID is that SQL engines (not sure about
the spec) don't allow casting from empty string to number. The system
option above is supposed to allow changing t
thank you, it's greatly appreciated.
On Fri, Sep 18, 2015 at 10:24 PM, Julien Le Dem wrote:
> I'm going to look into this next week.
> Here is a JIRA to follow the issue, comment, suggest solutions:
> https://issues.apache.org/jira/browse/DRILL-3806
>
> On Fri, Sep 18, 2015 at 3:10 PM, Stefán Ba
I'm going to look into this next week.
Here is a JIRA to follow the issue, comment, suggest solutions:
https://issues.apache.org/jira/browse/DRILL-3806
On Fri, Sep 18, 2015 at 3:10 PM, Stefán Baxter
wrote:
> Hi,
>
> I have nothing meaningful to add but I had share that this BigInt
> assumption h
Hi,
I have nothing meaningful to add but I had share that this BigInt
assumption has caused more grief than any other single feature in Drill.
I would go so far as to say that the "type intolerance" and lack of
"sensible conversion" is the biggest hurdle on the way to fulfilling the
"eliminate E
This is a limitation of really late appearing fields. Right now, depending
on the situation, if a value doesn't show up in the first ~4k, we assume
that the value is BigInt. I think a developer is working on improving this
behavior right now. I'll ping them to see when we might have a fix.
--
Jacq
This could be a bug. Please open a new Jira and add as much information as
possible ? thanks
On Fri, Sep 18, 2015 at 10:07 AM, Stefán Baxter
wrote:
> Hi,
>
> There are no schema changes.
>
> I can select * from the table just fine!
>
> Regards,
> -Stefán
>
> On Fri, Sep 18, 2015 at 4:55 PM, Abh
Hi,
There are no schema changes.
I can select * from the table just fine!
Regards,
-Stefán
On Fri, Sep 18, 2015 at 4:55 PM, Abhishek Girish
wrote:
> Are you sure there is no schema change occurring between records for a
> column other than *occurred_at?**. *In your second query, since the on
Are you sure there is no schema change occurring between records for a
column other than *occurred_at?**. *In your second query, since the only
column being read is *occurred_at, *you may not be hitting the issue. First
query being a select * would read all columns and may hit this schema
change er
This fails:
- select * from dfs.asa.* where occurred_at < '2015-09-18' order by
occurred_at;
This, oddly enough, does not fail:
- select occurred_at from dfs.* where occurred_at < '2015-09-18' order
by occurred_at;
-ste
On Fri, Sep 18, 2015 at 4:08 PM, Stefán Baxter
wrote:
>
> Th
The failing select query:
select * from dfs.* where occurred_at < '2015-09-18' order by occurred_at;
-ste
On Fri, Sep 18, 2015 at 4:02 PM, Stefán Baxter
wrote:
> Hi,
>
> Both statements select everything but the CTAS statement included a date
> filter + date order.
>
> The date field is always
Hi,
Both statements select everything but the CTAS statement included a date
filter + date order.
The date field is always the same (extended json format date ISO) and is
always present so I can say, with 100% certainty, that there is no schema
change involved.
The select statement fails as well
This kind of errors usually happens when there is an unsupported schema
change in the json files, but you should be able to reproduce the error
with just a select statement. Can you share both queries you tried (the
failing CTAS and the successful SELECT *) ?
Thanks
On Fri, Sep 18, 2015 at 5:38 A
Hi,
I have some json files that I want to transform to parquet.
We have been doing this without any issues but this time around I get this
exception:
Error: SYSTEM ERROR: IllegalStateException: Failure while reading vector.
Expected vector class of org.apache.drill.exec.vector.NullableVarCharVec
Hi,
The short back story is this:
- We are serving multiple tenants with vastly different data volume and
needs
- there no such thing as fixed period segment sizes (to get to approx.
volume per segment)
- We do queries that combined information from historical and fresh
(stream
Hi Andries,
I've already tried writing where and case statements but none of them
worked unfortunately. It's still:
DATA_READ ERROR: Error parsing JSON - You tried to write a VarChar type
when you are using a ValueWriter of type NullableIntWriterImpl.
When I try this on sqlline, I can confirm th
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