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You can index resources for their element usages within the selected scope of the Magic Collaboration Studio repository and later query these usages through the modeling tool. This enables you to evaluate what impact modifying or deleting certain model elements will have on other models that are using it. To enable this functionality, Magic Collaboration Studio needs to be incorporated with

a dedicated search

engine - Elasticsearch.

 This component makes it possible to index model element usage data and serve it quickly when queried from a modeling tool.

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Conceptual solution for the global element usage indexing and search functionality.

Elasticsearch system requirements and installation

To start using the global element usage search functionality, you need to install Elasticsearch (v7 series).

System requirements

• We recommend using NVMe SSD disks for the Elastic search instance.

• The -Xmx

•  value should be set to 4GB as a minimum.
• The expected indexing speed under recommended hardware settings is roughly 1 revision per second.
• The following formula can be used to roughly determine the required disk space per single Indexing Configuration:

Used Project size (element count) x 400 bytes x N x # of Using Projects (specified scope),

where N equals the number of times both using and used elements get changed throughout their history (N tends to range from 4 to 10 as noted from experiments with production data).
The formula also assumes that actual element-level reference ratio is 15-20% from all of the elements in a Used Project.
E.g. A DB size of 250GBs yields an index size of 60GBs under the above mentioned conditions.

Installing Elasticsearch

Go to https://www.elastic.co/downloads/elasticsearch and install Elasticsearch (v7 series).

Enabling global element usage indexing and search

Once you install Elasticsearch, configure Magic Collaboration Studio as described below to start using the global element usage search functionality.

To enable global element usage search

1. Go

1. to <install_root>/TeamworkCloud/configuration, open

1. the application.conf

1.  file, and add the following lines at the end of the file:

   1. To enable the querying component, add the following property and set it

1. 1. to true:

      Code Block
      esi.server.actor.query.component-enabled=true

   2. To enable resource indexing, add the following property and set it

1. 1. to true:

      Code Block
      esi.indexer.enabled = true

   2. If Elasticsearch and Magic Collaboration Studio run on different machines, add the following line:

      Code Block
      esi.query.es.node.host = "<es.host.or.ip>"

   3. If Elasticsearch is set up to listen on a different port from the default one (9200), add the following line:

      Code Block
      esi.query.es.node.port = <es.port>

2. Restart Magic Collaboration Studio services.

Now you

can index resources for their element usages

 in the Settings application and use

the global element usage search functionality

 in a modeling tool.