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From 廖松博 <>
Subject Re: Impala user resource isolation best practice
Date Tue, 19 Jul 2016 01:31:30 GMT
Hi Matt,

	If we use a single coordinator, if a lot of queries come in, the coordinator may be out of
memory, right ? Because the coordinator take charge of merge results from workers and send
back to client.


发件人: Matthew Jacobs [] 
发送时间: 2016年7月19日 7:50
收件人: 廖松博
主题: Re: Impala user resource isolation best practice

The 'soft limits' refer to the behavior that, when multiple coordinators are used and queries
are submitted concurrently, the admission control cannot guarantee the limits because the
decisions are made based on some stale information that needs to be updated by the statestore.
If you use a single coordinator you avoid that problem. That said, a separate problem is that
there is no way to guarantee that other resources, e.g. network, IO, etc. are not abused by
a single user.

On Mon, Jul 18, 2016 at 4:29 PM, 廖松博 <> wrote:
> Hi Matthew,
>         Thanks for your reply. The point is , per admission control documents, most of
impala limits are "soft limit", are the 2 settings you mentioned also "soft limit" ? The soft
limit means the pool will exceed the memory/concurrency limit at some moment when impala is
not aware of. But it is affecting other pool at that moment.
>         Thanks.
> Songbo
> -----邮件原件-----
> 发件人: Matthew Jacobs []
> 发送时间: 2016年7月19日 0:44
> 收件人:
> 主题: Re: Impala user resource isolation best practice
> By the way, some of the controls I mentioned were added in Impala 2.5, so you should
consider upgrading if you're not already using a newer version of Impala.
> Thanks,
> Matt
> On Mon, Jul 18, 2016 at 9:20 AM, Matthew Jacobs <> wrote:
>> Hi Songbo,
>> Right now the best you can do is with admission control with:
>> (a) a single coordinator to avoid the possibility of over-admitting 
>> by different coordinators
>> (b) setting default query mem limits so that individual queries are 
>> limited
>> For your scenario, I'd recommend setting up 2 pools, one for user A 
>> and a second for user B. Set the max number of running queries for 
>> user A to something reasonable for the concurrency for that workload.
>> Set the max memory for the user B pool to the portion of cluster 
>> memory you're willing to give to those queries. (Notice the pool with 
>> the small queries has the max number of running queries set and the 
>> pool with the fewer but larger big queries has the max memory set -- 
>> that is intentional, the former is faster for admission but doesn't 
>> limit based on memory.) How well this will work depends on how well 
>> you can pick good numbers for these settings, which can be difficult 
>> and requires studying your workload.
>> This isn't perfect resource isolation because rogue queries can still 
>> consume too much CPU or other resources, but it's the best you'll be 
>> able to do right now. In the future we will have better tools to make 
>> this easier.
>> Best,
>> Matt
>> On Mon, Jul 18, 2016 at 2:59 AM, 廖松博 <> wrote:
>>> Hello guys,
>>>        My Company is using Cloudera Impala as our basic 
>>> infrastructure for online data analysis. The most difficult part we 
>>> met is resource isolation and instability.
>>> According to our experiences in Impala, some big query which consume 
>>> a vast amount of memory will crash impalad process(actually as 
>>> worker but not coordinator, right?).
>>> In our simplest scenario, user A is a very important customer and 
>>> his queries are relatively small, user B is a unimportant user who 
>>> may issue very large SQL to impala. It is unacceptable that the big 
>>> query from user B crash the impalad process and affect the user 
>>> experiences of user A. So resource isolation is the point.
>>> But per the Impala documents :
>>> _ admission.html , Impala resource isolation is soft limit, cannot 
>>> strictly prevent query from user B affecting user A.
>>> As I know llama(run impala with yarn) is not recommended and we 
>>> actually tried it but disappointed about the performance and accuracy.
>>>        Is there any best practice for user resource isolation? So 
>>> different user will not affect each other.
>>>        Thanks.
>>> Best Regards,
>>> Songbo
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