• New in mongo-connector 2.5.0, to install mongo-connector with the Solr-doc-manager run:

• Create Solr cores

• This line should be present in your solrconfig.xml file:

• Mongo Connector stores metadata in every document to help handle rollbacks.
• To support these data, you’ll need to include the following to your schema.xml:

<field name="_ts" type="long" indexed="true" stored="true" />
<field name="ns" type="string" indexed="true" stored="true"/>

• Mongo Connector can replicate to Apache Solr search engine by using the Solr DocManager.
• To start the connector, you must pass in the base URL for the Solr core to which you want to synchronize.

• Refer to the Apache documentation for configuring Solr and SolrCloud.

• Mongo Connector automatically “flattens” MongoDB documents.
• Fields within sub-documents can be referenced by their “dot-separated path” within the document.
• Likewise, array fields are unrolled, so that individual elements are accessible by the field’s original name, plus a “.”, plus the index within the array that the element occupied.

An example:

{
    "subdoc": {
        "a": 1,
        "b": 2,
        "c": 3,
        "array": [
            {"name": "elmo"},
            {"name": "oscar"}
        ]
    }
}

• It will become the following in Solr:

{
    "subdoc.a": 1,
    "subdoc.b": 2,
    "subdoc.c": 3,
    "subdoc.array.0.name": "elmo",
    "subdoc.array.1.name": "oscar"
}

• In addition, Mongo Connector comes with an example schema.xml file that can help get you started integrating MongoDB with Apache Solr search.
• Solr reads schema.xml in order to find field types, fields that documents may have the primary key, and more.
• MongoDB Connector try to acquire the schema for Apache Solr by using the LukeRequestHandler at a particular URI admin/luke/?show=schema&wt=json which is appended to the base of the Apache Solr URL.
• So, in the above example, Mongo Connector tries to get the schema for Apache Solr by sending a GET request to http://localhost:8983/solr/admin/luke/?show=schema&wt=json.
• Mongo Connector will drop fields from MongoDB documents that are not confirmed in your Apache Solr core’s schema in order to avoid Solr throw exceptions and fail to add those documents.
• If you do not describe the fields then you desire in schema.xml and reload the Apache Solr core, Mongo Connector will merrily continue stripping your MongoDB documents of the offending fields.
• You can able to check what Apache Solr thinks the schema to your core by visiting the aforementioned endpoint in browser.

• Real Time, Massive Read, and Write Scalability:
  • Apache Solr supports large-scale, search, distributed indexing, and aggregation or statistics operations, enabling to handle applications large and small.
• SQL and Streaming Expressions/Aggregations.
• Security Out of the Box:
  • Using Solr, security is built in, integrating with systems such as kerberos, SSL, and LDAP to not only secure the system, also secure the content inside of it.
• Graph Support:
  • Graph operations over the data allow query and work with difficult relationships between data and then output to formats like GraphML.
• Solr Plays Nice With Big Data Toolchains
• Kibana and Logstash Both Work with Solr

• Here,Some of the examples of document oriented database is MongoDB, Cassandra, and CouchBD.

• Apache Solr contains powerful capabilities such as phrases, wildcards, grouping, joins and much more across several data type.

• It is proven at very large scales throughout the world.

• Solr uses the tools that use to make application building a snap.

• It ships with a built-in, responsive administrative UI to build it simple and to manage the Solr instances.

• It publishes many of metric information via JMX.

• Built on the battle-tested Apache Zookeeper, It makes ease to scale up and down.
• It bakes in distribution, replication, and rebalancing as well as fault tolerance out of the box.

• Solr’s is planned to adapt your needs as simplifying configuration.

• Apache Solr takes a benefit of Lucene’s Near Real-Time Indexing capabilities to ensure you to see your content when you would like to notice it