solr sink Solr Sink

Provided by: "Apache Software Foundation"

Support Level for this Kamelet is: "Stable"

Send documents to Solr Collection.

Configuration Options

The following table summarizes the configuration options available for the solr-sink Kamelet:

Property Name Description Type Default Example

collection

Collection

Required Solr Collection name.

string

servers

Servers

Required Comma separated list of Solr Servers and ports.

string

autocommit

Autocommit

If autocommit should be enabled or not.

boolean

false

password

Password

Password to connect to Solr.

string

username

Username

Username to connect to Solr.

string

Dependencies

At runtime, the solr-sink Kamelet relies upon the presence of the following dependencies:

  • camel:solr

  • camel:core

  • camel:jackson

  • camel:kamelet

Camel JBang usage

Prerequisites

  • You’ve installed JBang.

  • You have executed the following command:

jbang app install camel@apache/camel

Supposing you have a file named route.yaml with this content:

- route:
    from:
      uri: "kamelet:timer-source"
      parameters:
        period: 10000
        message: 'test'
      steps:
        - to:
            uri: "kamelet:solr-sink"

You can now run it directly through the following command

camel run route.yaml

Solr Sink Kamelet Description

Apache Solr Integration

This Kamelet integrates with Apache Solr, a popular open-source search platform built on Apache Lucene. Solr provides powerful full-text search, faceted search, and analytics capabilities.

Document Indexing

Indexes documents in Solr cores or collections, making data searchable and available for complex queries and analytics operations.

Schema Management

Solr supports both schemaless and managed schema approaches, providing flexibility in defining field types, analyzers, and search configurations.

Real-Time Search

Provides real-time or near real-time search capabilities, enabling immediate searchability of indexed documents for dynamic applications.

Distributed Search

Supports distributed search through SolrCloud, enabling:

  • Horizontal scaling across multiple nodes

  • Automatic sharding and replication

  • High availability and fault tolerance

  • Load distribution for query processing

Advanced Features

Solr provides advanced search features including:

  • Faceted search and filtering

  • Highlighting and suggestions

  • Spatial and geographical search

  • Complex query syntax and boosting

  • Analytics and aggregations

Kamelet source file

https://github.com/apache/camel-kamelets/blob/main/kamelets/solr-sink.kamelet.yaml

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