I suggest that you do a

DESCRIBE FORMATTED orc

and to check directly on s3 the location of your data.

Did you also try a SELECT * FROM orc LIMIT 10; ? Did it return something?



On Fri, 27 Apr 2018, 21:30 Sowjanya Kakarala, <[email protected]> wrote:

>
>
>
>
>> Hi Guys,
>>
>> I am new to aws, I am not sure how the hive works and store the data in
>> aws.
>>
>> I have created a text table and orc table. where text table have data and
>> when I do insert overwrite from text table the qury runs fine and when I do
>> a count on orc table its zero.
>>
>> I have no clue where the data is going, any suggestions or ideas?
>>
>> Here is my query:
>>
>> hive> insert into table orc select * from text;
>
> Query ID = hadoop_20180427190946_03edcce9-7a48-4876-aadb-6a7a1a862e50
>
> Total jobs = 1
>
> Launching Job 1 out of 1
>
> Tez session was closed. Reopening...
>
> Session re-established.
>
> Status: Running (Executing on YARN cluster with App id
> application_1524689752360_0058)
>
>
>
> ----------------------------------------------------------------------------------------------
>
> *        VERTICES      MODE        STATUS  TOTAL  COMPLETED  RUNNING
> PENDING  FAILED  KILLED  *
>
>
> ----------------------------------------------------------------------------------------------
>
> Map 1 .......... container     SUCCEEDED      7          7        0
>   0       0       0
>
> Reducer 2 ...... container     SUCCEEDED     10         10        0
>   0       0       0
>
>
> ----------------------------------------------------------------------------------------------
>
> *VERTICES: 02/02  [==========================>>] 100%  ELAPSED TIME: 23.02
> s    *
>
>
> ----------------------------------------------------------------------------------------------
>
> Loading data to table db.orc
>
> OK
>
> Time taken: 29.982 seconds
>
> hive> select count(*) from orc;
>
> Query ID = hadoop_20180427191026_faa4fa26-df05-4b52-aa31-f0c878b9c0bd
>
> Total jobs = 1
>
> Launching Job 1 out of 1
>
> Status: Running (Executing on YARN cluster with App id
> application_1524689752360_0058)
>
>
>
> ----------------------------------------------------------------------------------------------
>
> *        VERTICES      MODE        STATUS  TOTAL  COMPLETED  RUNNING
> PENDING  FAILED  KILLED  *
>
>
> ----------------------------------------------------------------------------------------------
>
> Map 1            container     SUCCEEDED      0          0        0
>   0       0       0
>
> Reducer 2 ...... container     SUCCEEDED      1          1        0
>   0       0       0
>
>
> ----------------------------------------------------------------------------------------------
>
> *VERTICES: 01/02  [==========================>>] 100%  ELAPSED TIME: 3.49
> s     *
>
>
> ----------------------------------------------------------------------------------------------
>
> OK
>
> 0
>
> Time taken: 4.425 seconds, Fetched: 1 row(s)
>
> hive> select count(*) from text;
>
> Query ID = hadoop_20180427192401_fc0c4e26-0bb7-4d56-a7b9-17493cd5c88d
>
> Total jobs = 1
>
> Launching Job 1 out of 1
>
> Tez session was closed. Reopening...
>
> Session re-established.
>
> Status: Running (Executing on YARN cluster with App id
> application_1524689752360_0059)
>
>
>
> ----------------------------------------------------------------------------------------------
>
> *        VERTICES      MODE        STATUS  TOTAL  COMPLETED  RUNNING
> PENDING  FAILED  KILLED  *
>
>
> ----------------------------------------------------------------------------------------------
>
> Map 1 .......... container     SUCCEEDED      7          7        0
>   0       0       0
>
> Reducer 2 ...... container     SUCCEEDED      1          1        0
>   0       0       0
>
>
> ----------------------------------------------------------------------------------------------
>
> *VERTICES: 02/02  [==========================>>] 100%  ELAPSED TIME: 10.19
> s    *
>
>
> ----------------------------------------------------------------------------------------------
>
> OK
>
> 37504
>
> Time taken: 15.506 seconds, Fetched: 1 row(s)
>
>
> Thanks in advance.
>
>

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