Overview

Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. Key characteristics include:

  • Full-text search: Powerful text analysis and search capabilities with relevance scoring
  • Real-time analytics: Analyze and visualize data as it arrives
  • Distributed architecture: Horizontally scalable with automatic sharding and replication
  • SQL support: Query data using familiar SQL syntax via the SQL API
  • Schema-free JSON documents: Store and index semi-structured data without predefined schemas
  • RESTful API: Simple HTTP-based interface for all operations

Elasticsearch is ideal for log analytics, application search, security analytics, business analytics, and any use case requiring fast, scalable search and analytics.

Connecting

To connect to Elasticsearch in DBCode, you’ll need:

  1. Open the DBCode Extension: Launch Visual Studio Code and open the DBCode extension.
  2. Add a New Connection: Click on the “Add Connection” icon.
  3. Complete connection form: Select Elasticsearch as the database type and enter:
    • Host/Server address
    • Port (default: 9200)
    • Username (if authentication is enabled)
    • Password (if authentication is enabled)
    • Enable SSL/TLS if required
  4. Connect: Click save to connect to your Elasticsearch cluster.
  5. Start Managing Your Data: Browse indices and run SQL queries.

For detailed instructions on connecting to databases, refer to the Connect article.

Elasticsearch Features in DBCode

DBCode enhances your Elasticsearch development experience with:

  • SQL query editor: Write and execute Elasticsearch SQL queries with syntax highlighting
  • Index browsing: Navigate through indices and their field mappings
  • Field type information: View field types and nested object structures
  • Query results visualization: View and export query results
  • Index mapping inspection: View the complete mapping (schema) of any index

By using Elasticsearch with DBCode, you can efficiently explore your indices, develop SQL queries, and analyze data directly within Visual Studio Code.

For more information about Elasticsearch, check out Elasticsearch.