Hi,
Andries, Ted, thanks for quick replies.
Yes, I'm using latest official build of 0.8.
I made some investigations of possible issues and also found way to
hide sensitive data.
Please see issue regarding this [1].
In that process I found one strange behavior which I assume lead to this issue.
(
Parquet has a few primitive types, one of which is Binary array. These
primitive types are used to store different "converted types". For example,
one of the converted types that uses binary array is "UTF8" string. I
believe that the parquet files you are querying do not have the "converted
type" s
Are you reading the data using the Hive Storage plugin for Drill and using the
Metastore, or are you directly querying the parquet files on the filesystem
with Drill?
—Andries
On Apr 3, 2015, at 12:05 PM, John Omernik wrote:
> I have a table in Hive (no partitions, single level, stored as P
I have a table in Hive (no partitions, single level, stored as PARQUET
(hive-0.13). When I query it in hive, it works fine, when I run a
count(*) on it drill it works (fast) but when I run a query, it seems
to return the same number of results, but it look likes this...
thoughts? (These should b
Here are some examples of queries on the actual data you are using:
This query extracts some data from the "meta" map.
select t.meta.`view`.`id` from
dfs.`/Users/khahn/Documents/test_files_source/opendata.json` t;
> ++
>
> | EXPR$0 |
>
> ++
>
> | n2rk-fwkj |
>
> +---
The link Kristine posted gave me a 404, here is the corrected link hosted
on the apache server.
http://drill.apache.org/docs/json-data-model/#handling-type-differences
On Fri, Apr 3, 2015 at 7:49 AM, Kristine Hahn wrote:
> You solve the "Needed to be in state INIT or IN_VARCHAR but in mode
> IN
Link correction:
http://apache.github.io/drill/docs/json-data-model#handling-type-differences
Kristine Hahn
Sr. Technical Writer
415-497-8107 @krishahn
On Fri, Apr 3, 2015 at 6:57 AM, Vince Gonzalez
wrote:
> Yep:
>
> 0: jdbc:drill:zk=local> select jblob['v'] from (select
> convert_from(columns
You solve the "Needed to be in state INIT or IN_VARCHAR but in mode
IN_BIGINT" by using all_text_mode to resolve the schema differences, as
described in
http://apache.github.io/drill/docs/json-data-model/handling-type-differences.
On my jdbc connection, for example:
> select * from dfs.`/Users/ope
That's right. columns[1] from tsv file is regarded as a VARCHAR column.
You have to use convert_from function.
0: jdbc:drill:zk=local> select t.colA.v from (select
convert_from(columns[1], 'JSON') from `AncestrySample100.tsv` limit 1) as
t(colA);
++
| EXPR$0 |
++
| 3.0
Yep:
0: jdbc:drill:zk=local> select jblob['v'] from (select
convert_from(columns[1], 'JSON') as jblob from `AncestrySample100.tsv`)
limit 1;
++
| EXPR$0 |
++
| 3.0|
++
1 row selected (0.136 seconds)
Thanks Carol!
On Fri, Apr 3, 2015 at 9:28 AM, Ca
maybe something like
select convert_from(t.columns[1], 'JSON') from AncestrySample100.tsv t
On Fri, Apr 3, 2015 at 9:06 AM, Vince Gonzalez
wrote:
> Can I tell Drill to parse the JSON in a column of a TSV?
>
> cd /tmp
> curl -L --output AncestrySample100.tsv
>
> https://raw.githubusercontent.com
Can I tell Drill to parse the JSON in a column of a TSV?
cd /tmp
curl -L --output AncestrySample100.tsv
https://raw.githubusercontent.com/ThinkBigAnalytics/ThinkBigChallenge2014/master/data/AncestrySample100
...
0: jdbc:drill:zk=local> use dfs.tmp;
0: jdbc:drill:zk=local> select columns[1] from
Tried with the Flatten but the result is same , Kindly help with pointers
"ERROR [HY000] [MapR][Drill] (1040) Drill failed to execute the query:
SELECT * FROM `HDFS`.`root`.`./user/hadoop2/unclaimedaccount.json` LIMIT 100
[30024]Query execution error. Details:[
Query stopped., Needed to be in stat
This 4th line should be
"hbase.zookeeper.quorum": "10.10.100.62,10.10.10.52",
without the angular brackets around the Zookeeper quorum.
On Thu, Apr 2, 2015 at 9:44 PM, Mahesh Sankaran
wrote:
> Hi Andries and Aditya,
>
>I have queried specific CF from hbase table.Still it shows
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