Thanks so much, Andrew,

We'll look into multiple nodes; we currently run just one.

Martha

On Thursday, September 5, 2019 at 1:29:41 AM UTC-7, Andrew Jones wrote:
>
> We've played around with heap size and various settings to improve the 
> indexing speed. Also setting up multiple nodes would likely help.
>
> The instance currently being loaded at our site will have 800,000+ 
> resources. It seems to be running fine performance wise with 4Gb heap, 1 
> node and 189k resource that are in there already BUT we don't have many 
> people using it concurrently at this stage.
>
> Once the data loading is completed we will be looking at configuring 
> additional nodes.
>
>
>
>
> On Wednesday, September 4, 2019 at 12:18:34 AM UTC+1, Martha S wrote:
>>
>> Hi, All,
>>
>> Our new Arches installation is on a clean Ubuntu 18.04 server, so we are 
>> currently working with default settings for everything. We've got a 
>> relatively large database of more than 110,000 items with complex 
>> interrelations. Our ElasticSearch data is currently at 6.7 GB. Search and 
>> load time is unacceptably slow and I'd like to hear about what others have 
>> tried and achieved the most with. 
>>
>> 1. We have 28 GB of memory on this server, most of which is going unused. 
>> It seems my first step should be to increase the ElasticSearch heap and 
>> allocate it at boot. Has anyone had experience with this?
>>
>> 2. We have mounted two solid state drives, but both the ElasticSearch 
>> data and the Postgres database are currently on the OS partition. Has 
>> anyone found that moving one or both helped?
>>
>> 3. The server has four cores. Would upping this make a difference? 
>>
>> 4. Have you done something else that sped up your system response time?
>>
>> Thanks in advance,
>> Martha
>>
>

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