Indexing in Spring Data Neo4j

Indexing -> Indexing is used in Neo4j to quickly find nodes and relationships to start graph operations from Schema (Label based) Indexing .

STEP 1  Create Index  -> You can use either of them 

Using Cypher-> By using Cypher you can create index with this Cypher Query 

                   CREATE INDEX ON :Person(name);

 Using Spring Data Neo4j

import org.springframework.data.neo4j.annotation.Indexed
import org.springframework.data.neo4j.annotation.NodeEntity

@NodeEntit
class Person{
@Indexed
String name
}

So it creates schema Indexing on Person Domain at name property.

STEP 2  Use Index -> In cypher you can find Data like match (person:Person) where person.name="oodles" return person .

So now you can get data in O(1) , otherwise it will search on all Person Nodes.

Legacy Indexing in Neo4j -> The default index implementation is provided by the neo4j-lucene-index. So you can use lucene Query to get the Data . 

STEP 1  Create Index -> In Spring Data Neo4j 

import org.springframework.data.neo4j.support.index.IndexType
import org.springframework.data.neo4j.annotation.Indexed
import org.springframework.data.neo4j.annotation.NodeEntity

@NodeEntity

class Job{
@Indexed
String name
@Indexed(indexName = jobSearch, indexType=IndexType.FULLTEXT,numeric=false)
String publishDate
}

START jobWithDate=node:jobSearch("publishDate:[2015-03-18T18:30:00.000Z TO 2015-03-18T18:30:00.000Z]")  match (jobWithDate) where jobWithDate.name="oodles" return jobWithDate.

For More information visit this  link

THANKS