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The documentation below is valid from Datafari v5.1 upwards

The stability and performances of Datafari mainly rely on a good RAM management and distribution between its components. Adding more RAM to a Datafari server is completely useless if you don't configure it to exploit the available RAM ! 

You can check the default RAM configuration of Datafari in the Software requirements

Before the first startup you can modify into one location the values of RAM that you want to apply for the different components.

This file is into this folder : $DATAFARI_HOME/bin/deployUtils/

You need to edit the file corresponding to your installation case, for example if you use community edition of Datafari, edit the file monoserver_community_memory.properties.

There is a line of each component, for example if you want to change the amount of RAM for Solr edit the property :

SOLRMEMORY=1g

If your Datafari is already initialized, here are the files location and parameters that allow you to adjust the JVM RAM (excluding SWAP!) consumption by component :
(You need to restart Datafari for the change to be applied)

The more important thing to know is that there are two main resource consumption sources : the crawl and the search

1. Crawl

   During a crawl phase, the component that will need a lot of RAM is Tika, because it extracts the content of documents and needs, for certain doc types, to fully load them in memory. Depending on your job configuration, Tika may be :

   • Used in MCF if your job is configured to use the "TikaOCR"  transformation connector 

   • Used in Solr if your job is configured to use the "DatafariSolr" output connector instead of the "DatafariSolrNoTika" output connector

   • Used in its own JVM if your job is configured to use the "TikaServer" transformation connector (only available in the Enterprise edition) 

   If you used the Simplified MCF UI of Datafari to create your job, it is automatically configured with the "TikaOCR" connector for the Community Edition, and the "TikaServer" connector for the Enterprise Edition.

   Knowing this, you will need to allocate more RAM to the component that handle Tika to ensure the stability of your crawls. Tika needs at least 5GB to be stable. So if you use Tika into MCF or into Solr, you will need to add 5GB to the default configuration of those components.

2. Search

   During the search phase a lot of RAM may be used by Solr to improve performances. Solr uses its own JVM allocated RAM but it also relies on the system cache to perform searches, so it is important to NOT allocate all the available physical memory to Solr or any other Datafari component to ensure best performances ! 

   We recommend to allocate between at least 1GB of RAM and a maximum of 12GB of RAM to Solr depending on the available RAM of your Server. For best search performances, try to let a number of un-allocated RAM that matches your Solr index size (size of the DATAFARI_HOME/solr/solr_home directory). 

Note about Solr memory : By default, its value is set to 1 GB. If you encounter OOMs and you have enough spare ram, try increasing it (keep in mind that your system needs enough SWAP space as well)

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Here are the files location and parameters that allow you to adjust the JVM RAM (excluding SWAP!) consumption by component :

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