Master the Graph Query Language: Learn NEO4J CYPHER

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Master the Graph Query Language: Learn NEO4J CYPHER

Table of Contents

  1. Introduction
  2. Loading Data into Neo4j Desktop
  3. Creating Nodes from the Loaded Data
  4. Validating the Created Nodes
  5. Loading Data from Different Files
  6. Creating Relationships Between Nodes
  7. Reading and Interpreting the Graph
  8. Conclusion

Introduction

In this video tutorial, we will learn how to Create nodes and their relationships from the data loaded into Neo4j Desktop. We assume that You already know how to import data into Neo4j. If you are unsure, please refer to our previous video on how to import data in Neo4j.

Loading Data into Neo4j Desktop

To begin, click on the "Open" button Parallel to your DBMS name to open the Neo4j browser. This is where we will write our Cipher commands. First, we will load the product.csv file into the graph using the load CSV statement. Then, we will use the merge statement to check if the product already exists before creating it. The properties will be set to the converted values. Execute the query to create the product nodes.

Creating Nodes from the Loaded Data

Next, let's create nodes for the orders.csv file. Similar to the previous step, we will load the file and perform data conversion. The merge clause will match existing node Patterns in the graph and create new data if necessary. Execute the query to create the order nodes.

Validating the Created Nodes

After creating the nodes, it is important to validate them. We can use the match statement to match the loaded products/orders with those in the CSV files. By limiting the return rows, we can ensure the accuracy of the data. Execute the query to validate the nodes.

Loading Data from Different Files

Now, let's load the data from the order details.csv file and create its nodes. In this case, we will use the "auto" option to automatically commit the data to reduce memory overhead. After loading the file and performing data conversions, we will create relationships between the products and orders. Execute the query to create the nodes.

Creating Relationships Between Nodes

To establish relationships, we will use the match statement to find existing product and order nodes. Then, the merge statement will add new relationships or match existing ones between the order details, orders, and products. Execute the query to see the number of created nodes.

Reading and Interpreting the Graph

Once the nodes and relationships are created, a graph will be formed. The purple nodes represent products, the orange node represents orders, and the gray lines depict the relationships between them. By interpreting the graph, we can understand which products are contained in specific orders.

Conclusion

In conclusion, we have learned how to create nodes and relationships from the data loaded into Neo4j Desktop. This allows us to represent and analyze data in a graph format. By following the steps outlined in this tutorial, you can effectively utilize the power of Neo4j for your data analysis needs.

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