drill-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Kiran Kumar NS <mailtonski...@gmail.com>
Subject Re: Query on tables
Date Thu, 27 Dec 2018 14:35:16 GMT
Hi Team,

Is there any update on below questions, please 

Kind Regards 

Sent from my iPhone

> On Dec 26, 2018, at 10:41 AM, Kiran Kumar NS <mailtonskiran@gmail.com> wrote:
> Hi Vitalii,
> Thanks for getting back.
> Yes, I did try it. But, I got the table is already present. It is because I don’t want
to create another table with new table name for that changed data .
> Also, if it works in any which way, every time the source changes, is there any automatic
way to get the drill tables also updated?
> Also, I have another set of queries.
> If I set max proc mem, max direct mem it is not reflected in cluster. I see it in UI.
But if I change java heap mem, it reflects. Wanted to understand when we set these settings,
how still distributes this setting to cluster. I did observe whatever the settings I do in
options link of UI, it reflects in the whole cluster. But, if I do it in drill-env.sh, it
does not. I have to go and change in all the nodes. Also, it is mentioned that distrib-env.sh
should not be used by users. Essentially, I want to understand, how the configurations are
propagated to all nodes in cluster and how can I reap the benefit of additional compute of
the cluster so that my queries are executed fast. Currently one CTAS command and partition
by commands are taking hours to process GBs of data.
> I can provide statistics of elapsed time of query execution if required, for your analysis.
> Kind Regards 
> Kiran
> Sent from my iPhone
>> On Dec 25, 2018, at 2:16 PM, Vitalii Diravka <vitalii@apache.org> wrote:
>> Hello!
>> Can you filter the newly coming data and run CTAS only for those data? It will allow
to avoid extra work.
>> Kind regards 
>> Vitalii 
>>> On Mon, Dec 24, 2018 at 6:53 PM Idea Everywhere <mailtonskiran@gmail.com>
>>> Hi Team,
>>> My current situation:
>>> I have apache drill installed in AWS EC2 (M4.4x large) instances cluster of 3
nodes. My source data is coming from S3 bucket.
>>> I want to engage drill to read that data from S3, create tables within itself
(using CTAS) while the table data is stored in AWS EFS mapped to ec2 instances created as
mentioned above and allow the user to read the data from those tables.
>>> Tables and Partitioned tables are created as of now.
>>> Questions:
>>> 1. It is observed that, when the tables are created, it reads the data from source
and the table is created along with that data (ie., if the original source is 10GB, the tables
stored in the file system are comparable to that size). However, I have a question, if the
source is growing, how it gets into the CTAS tables or CTAS Partition by tables, so that queries
will result latest output
>>> Kind Regards
>>> Kiran

  • Unnamed multipart/alternative (inline, 7-Bit, 0 bytes)
View raw message