Exactly. You could have the best engineer on your continent but the end result 
is the same, more metal.  I could build a very fast search server for less than 
a week of my salary so what’s the point of wasting two weeks trying to solve a 
problem when the solution is literally just right there, a big ssd and a lot of 
memory, then I could work on things that are actually important rather than try 
to squeeze blood from a turnip. 

> On Jul 5, 2022, at 6:11 AM, Charlie Hull <ch...@opensourceconnections.com> 
> wrote:
> 
> I think you're missing my point.
> 
> Good engineers, even mediocre ones, are expensive, and the great ones are 
> rare. It's a tedious task chasing tiny performance gains when you know you're 
> limited by the hardware and a bored engineer might just go and look for 
> another job. So if you fail to realise that a capital expense for hardware or 
> hosting is necessary, you run the risk of losing the people that make your 
> search engine work (even if they stay they could also be doing something more 
> useful to your business).
> 
> Charlie
> 
>> On 05/07/2022 10:49, Deepak Goel wrote:
>> If you are tearing your hair out on 'Number of Hours' required for tuning
>> your software, it's time you switch to a better quality performance
>> engineer.
>> 
>> Deepak
>> "The greatness of a nation can be judged by the way its animals are treated
>> - Mahatma Gandhi"
>> 
>> +91 73500 12833
>> deic...@gmail.com
>> 
>> Facebook:https://www.facebook.com/deicool
>> LinkedIn:www.linkedin.com/in/deicool
>> 
>> "Plant a Tree, Go Green"
>> 
>> Make In India :http://www.makeinindia.com/home
>> 
>> 
>> On Tue, Jul 5, 2022 at 3:12 PM Charlie Hull<ch...@opensourceconnections.com>
>> wrote:
>> 
>>> Equally it's not a good management practice to burn engineering hours
>>> trying to optimise performance to avoid spending (often much less) money
>>> on sufficient hardware to do the job. I've seen this happen many times,
>>> sadly.
>>> 
>>> Charlie
>>> 
>>> On 05/07/2022 10:33, Deepak Goel wrote:
>>>> Not a good software engineering practice to beef up the hardware blindly.
>>>> Of Course when you have tuned the software to a point where you can't
>>> tune
>>>> anymore, you can then turn your eyes to hardware.
>>>> 
>>>> Deepak
>>>> "The greatness of a nation can be judged by the way its animals are
>>> treated
>>>> - Mahatma Gandhi"
>>>> 
>>>> +91 73500 12833
>>>> deic...@gmail.com
>>>> 
>>>> Facebook:https://www.facebook.com/deicool
>>>> LinkedIn:www.linkedin.com/in/deicool
>>>> 
>>>> "Plant a Tree, Go Green"
>>>> 
>>>> Make In India :http://www.makeinindia.com/home
>>>> 
>>>> 
>>>> On Tue, Jul 5, 2022 at 1:01 AM Dave<hastings.recurs...@gmail.com>
>>> wrote:
>>>>> Also for $115 I can buy a terabyte of a Samsung ssd, which helps a lot.
>>> It
>>>>> comes to a point where money on hardware will outweigh money on
>>> engineering
>>>>> man power hours, and still come to the same conclusion. As much ram as
>>> your
>>>>> rack can take and as big and fast of a raid ssd drive it can take.
>>> Remember
>>>>> since solr is always meant to be destroyed and recreated you don’t have
>>> to
>>>>> worry much about hardware failure if you just buy two of everything and
>>>>> have a backup server ready and waiting to take over while the original
>>>>> fails and is reconstructed.
>>>>> 
>>>>>> On Jul 4, 2022, at 1:32 PM, Shawn Heisey<apa...@elyograg.org>   wrote:
>>>>>> 
>>>>>> On 7/4/22 03:01, Mike wrote:
>>>>>>> My Solr index size is around 500GB and I have 64GB of RAM. Solr eats
>>> up
>>>>> all
>>>>>>> the memory and because of that PHP works very, very slowly. What can I
>>>>> do?
>>>>>> Solr is a Java program.  A Java program will never directly use more
>>>>> memory than you specify for the max heap size.  We cannot make any
>>> general
>>>>> recommendations about what heap size you need, because there is a good
>>>>> chance that any recommendation we make would be completely wrong for
>>> your
>>>>> install.  I did see that someone recommended not going above 31G ... and
>>>>> this is good advice.  At 32 GB, Java switches to 64-bit pointers
>>> instead of
>>>>> 32-bit.  So a heap size of 32 GB actually has LESS memory available
>>> than a
>>>>> heap size of 31 GB.
>>>>>> The OS will use additional memory beyond the heap for caching the index
>>>>> data, but that is completely outside of Solr's control. Note that 64GB
>>>>> total memory for a 500GB index is almost certainly not enough memory,
>>>>> ESPECIALLY if the same server is used for things other than Solr.  I
>>> wrote
>>>>> the following wiki page:
>>> https://cwiki.apache.org/confluence/display/SOLR/SolrPerformanceProblems
>>>>>> Others have recommended that you run Solr on dedicated hardware that is
>>>>> not used for any other purpose.  I concur with that recommendation.
>>>>>> Thanks,
>>>>>> Shawn
>>>>>> 
>>> --
>>> Charlie Hull - Managing Consultant at OpenSource Connections Limited
>>> Founding member of The Search Network<http://www.thesearchnetwork.com>
>>> and co-author of Searching the Enterprise
>>> <
>>> https://opensourceconnections.com/wp-content/uploads/2020/08/ES_book_final_journal_version.pdf
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> -- 
> Charlie Hull - Managing Consultant at OpenSource Connections Limited
> Founding member of The Search Network <http://www.thesearchnetwork.com> and 
> co-author of Searching the Enterprise 
> <https://opensourceconnections.com/wp-content/uploads/2020/08/ES_book_final_journal_version.pdf>
> tel/fax: +44 (0)8700 118334
> mobile: +44 (0)7767 825828
> 
> OpenSource Connections Europe GmbH | Pappelallee 78/79 | 10437 Berlin
> Amtsgericht Charlottenburg | HRB 230712 B
> Geschäftsführer: John M. Woodell | David E. Pugh
> Finanzamt: Berlin Finanzamt für Körperschaften II
> 
> -- 
> This email has been checked for viruses by AVG.
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