Is there any more information I can supply in this issue?
Its a blocker for Drill adoption for us, and my ability to diagnose
exceptions in Java based systems is very limited ;)
On 27 Jan 2016, at 14:30, Matt wrote:
https://issues.apache.org/jira/browse/DRILL-4317
On 26 Jan 2016, at 23:50,
https://issues.apache.org/jira/browse/DRILL-4317
On 26 Jan 2016, at 23:50, Abdel Hakim Deneche wrote:
This definitely looks like a bug, could you open a JIRA and share as
much
information as possible about the structure of the CSV file and the
number
of records.
On Tue, Jan 26, 2016 at 7:38
This definitely looks like a bug, could you open a JIRA and share as much
information as possible about the structure of the CSV file and the number
of records.
On Tue, Jan 26, 2016 at 7:38 PM, Matt wrote:
> The CTAS with fails with:
>
> ~~~
> Error: SYSTEM ERROR: IllegalArgumentException: lengt
The CTAS with fails with:
~~~
Error: SYSTEM ERROR: IllegalArgumentException: length: -260 (expected:
>= 0)
Fragment 1:2
[Error Id: 1807615e-4385-4f85-8402-5900aaa568e9 on es07:31010]
(java.lang.IllegalArgumentException) length: -260 (expected: >= 0)
io.netty.buffer.AbstractByteBuf.chec
It's an internal buffer index. Can you try enabling verbose errors and run
the query again, this should provide us with more details about the error.
You can enable verbose error by running the following before the select *:
alter session set `exec.errors.verbose`=true;
thanks
On Tue, Jan 26, 20
Putting the "select * from
`/csv/customer/hourly/customer_20151017.csv`;" in a local .sql file,
and executing it with sqlline > /dev/null (to avoid a ton of scrolling)
results in:
~~~
index: 418719, length: 2 (expected: range(0, 418719))
Does a select * on the same data also fail ?
On Tue, Jan 26, 2016 at 9:44 AM, Matt wrote:
> Getting some errors when attempting to create Parquet files from CSV data,
> and trying to determine if it is due to the format of the source data.
>
> Its a fairly simple format of
> "datetime,key,key,ke
Getting some errors when attempting to create Parquet files from CSV
data, and trying to determine if it is due to the format of the source
data.
Its a fairly simple format of
"datetime,key,key,key,numeric,numeric,numeric, ..." with 32 of those
numeric columns in total.
The source data does