Installation Tuning

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.

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Note

Please restart the SearchBlox service once after memory tuning to take effect.

1.) Verify the amount of memory allocated and free for SearchBlox and Opensearch

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

        `curl -k -u <elasticsearch-username>:<elasticsearch-password> https://localhost:9200/_nodes/jvm?pretty=true`

Tune Elasticsearch Memory
Go to path <SearchBlox-Installation-Path>\opensearch\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 <SEARCHBLOX_INSTALLATION_PATH>/start.d/
• 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.

# --------------------------------------- 
# Module: threadpool
# Enables the Server thread pool.
# --------------------------------------- 
--module=threadpool


### Server Thread Pool Configuration
## Minimum Number of Threads
jetty.threadPool.minThreads=100

## Maximum Number of Threads
jetty.threadPool.maxThreads=450

## Number of reserved threads (-1 for heuristic)
# jetty.threadPool.reservedThreads=-1

## Thread Idle Timeout (in milliseconds)
#jetty.threadPool.idleTimeout=60000

## Whether to Output a Detailed Dump
#jetty.threadPool.detailedDump=false