NEO4J CSV reading and analytical framework of application case introduction in the Java class library
Neo4J is a high -performance map database that can store and manage large -scale complex relationship data in a graph structure.The CSV (comma segmental value) file is a commonly used data format, which is usually used to represent table data in text form.In NEO4J, CSV reading and analysis are a common operation that can be used to import data or use external data in query.
Below is an example of the NEO4J CSV read and analytical framework in the Java library:
1. Import CSV data to NEO4J diagram database:
First, we need to create a Java program used to connect the NEO4J database.Then read and parse the framework with NEO4J CSV to read the CSV file and import the data into the NEO4J database.The following is a simple example:
import org.neo4j.driver.v1.*;
public class CsvImporter {
public static void main(String[] args) {
try (Driver driver = GraphDatabase.driver("bolt://localhost:7687", AuthTokens.basic("username", "password"))) {
Session session = driver.session();
// Read the CSV file and import the data into the NEO4J database
session.run("LOAD CSV WITH HEADERS FROM 'file:///data.csv' AS row " +
"CREATE (n:Node {id: row.id, name: row.name})");
session.close();
}
}
}
In this example, we use Neo4J's official Java driver to connect the database.The `Load CSV` command is used to read data from the CSV file, and uses the` Create` command to import the data into the database.This can be customized according to the content and requirements of the CSV file.
2. Use CSV data to query:
In addition to importing data, we can also use CSV data in the query statement.The following is an example:
import org.neo4j.driver.v1.*;
public class CsvQuery {
public static void main(String[] args) {
try (Driver driver = GraphDatabase.driver("bolt://localhost:7687", AuthTokens.basic("username", "password"))) {
Session session = driver.session();
// Query using data in CSV
StatementResult result = session.run("LOAD CSV WITH HEADERS FROM 'file:///data.csv' AS row " +
"MATCH (n:Node) WHERE n.id = row.id " +
"RETURN n.name");
while (result.hasNext()) {
Record record = result.next();
System.out.println(record.get("n.name"));
}
session.close();
}
}
}
In this example, we use data in the CSV file to query nodes in the database.The `Match` command is used to match nodes with the same ID and return the name of the node.
In summary, the NEO4J CSV reading and parsing framework provides convenient tools in the Java library to read and analyze CSV data and interact with the NEO4J graph database.These functions can be used to import data or use external data in query, enabling developers to handle data and build complex relationship maps more flexibly.
