To tune the application for high performance, please provide the recommended CPU and Memory based on your documents, number of collections and number of search users.
Please restart the SearchBlox service once after memory tuning to take effect.
1.) Verify the amount of memory allocated and free for SearchBlox and Elasticsearch
## **Verify SearchBlox Memory & CPU**
You can verify the memory allocated to SearchBlox in the Admin Dashboard license page
**Tune SearchBlox Memory**
Go to path `
<SearchBlox-Installation-Path>\start.d` and edit the file jvm.ini to increase the memory as recommended.
_To allocate 12GB, you can update below configuration:_ -Xms12g -Xmx12g
## **Verify Elasticsearch Memory Allocation**
You can verify the memory allocated to Elasticsearch using the URL: https://localhost:9200/_nodes/jvm?pretty=true The heap memory allocated in bytes is displayed.
Alternatively, if you use Linux versions of SearchBlox you can use the following curl command
**Tune Elasticsearch Memory**
Go to path `
<SearchBlox-Installation-Path>\elasticsearch\config\` and edit the file jvm.options to increase the memory as recommended.
_To allocate 10 GB, you can update below configuration:_ -Xms10g -Xmx10g
## **Improve Concurrent Collections Indexing**
If you plan to crawl multiple collections simultaneously, you can increase performance by increasing the jetty thread values in `
By default, minThreadPool count is 20 and max ThreadPool count is 100. We recommend increasing the thread pool count as shown below for multiple collections with larger datasets.
Update threadpool.ini with the following snippet at the end of the file and restart the SearchBlox service.