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Welcome to Linkurious administration manual v4.1.9. Use the menu to access other documentations.
  1. Introduction
  2. FAQ
  3. Getting started
    1. Version support policy
    2. Release notes
    3. Client requirements
    4. Graph DB Feature Map
  4. Deploying on premise
    1. Technical requirements
    2. Downloading
    3. Installing
    4. Starting Linkurious
    5. Stopping Linkurious
  5. Configuring
  6. Troubleshooting
    1. Checking Linkurious status
    2. Reading the logs
    3. Getting support
    4. Managing licenses
    5. Vulnerabilities
  7. Importing graph data
    1. Neo4j
    2. Memgraph
    3. Amazon Neptune
    4. Cosmos DB
    5. Updating your graph data
  8. Updating Linkurious
    1. Checking for updates
    2. Backing up your data
    3. Update procedure
  9. Configuring data-sources
    1. Neo4j
    2. Amazon Neptune
    3. Memgraph
    4. Cosmos DB
    5. Alternative IDs
    6. Merging data-sources
    7. Advanced settings
  10. Resource management
    1. Managing spaces
    2. Managing tags
  11. Search index
    1. Search Option Comparison
    2. Neo4j Search
    3. Elasticsearch
    4. OpenSearch for Amazon Neptune
    5. Azure Search
    6. Incremental Indexing
    7. Numerical/Date search
  12. User-data store
    1. Migrating to an external database
    2. Backing-up your store
  13. Web server
  14. Authentication
    1. Getting started
    2. LDAP / Active Directory
    3. SSO with Azure AD
    4. SSO with Google
    5. SSO with OpenID Connect
    6. SSO with SAML2 / ADFS
    7. Configuration
  15. Access control
    1. Managing users
    2. Managing groups
    3. Standard access-rights
    4. Property-key access-rights
  16. Guest mode
    1. Guest mode
  17. Data Schema
    1. Property types
    2. Hiding data
    3. Strict mode
  18. Alerts
    1. Configuration
  19. Email Notifications
    1. Configuration
  20. Visualizations appearance
    1. Default styles
    2. Default captions
    3. Default properties order
    4. Geographic tiles
  21. Audit trail
    1. Log format
  22. Webhooks
  23. Observability
  24. Plugins
  25. Deep link
 

Search index: Numerical/Date search

Configure search on numerical and date properties

Elasticsearch is required to be able to perform numerical and date search.

To properly configure Elasticsearch for number and date search please follow these steps:

  • Configure your data source with Elasticsearch.
  • Go to the data schema page and select the categories that contain your numerical or date properties.
  • Choose the appropriate property type by clicking the "Set a type" button and then choose "Number" or "Date".

  • Go to the data-source settings page and click "Start Indexing". If you are using incremental indexing, you will have to rebuild your index from scratch, by clicking the "Re-create index" button.

Note that if you change the types after the indexing, you will need to re-index for the changes to apply.