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https://github.com/joshinnis/age


https://github.com/joshinnis/age

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README 

        






     









    

        

    

    

    

     is a leading multi-model graph database 


     



Graph Processing & Analytics for Relational Databases







                                                                                                    

  

    

  

   

  

    

  

   

  

    

  

   

  

    

  

   

  

    

  

   

  

    










  What is Apache AGE?



[Apache AGE](https://age.apache.org/#) is an extension for PostgreSQL that enables users to leverage a graph database on top of the existing relational databases. AGE is an acronym for A Graph Extension and is inspired by Bitnine's AgensGraph, a multi-model database fork of PostgreSQL. The basic principle of the project is to create a single storage that handles both the relational and graph data model so that the users can use the standard ANSI SQL along with openCypher, one of the most popular graph query languages today. 










Since AGE is based on the powerful PostgreSQL RDBMS, it is robust and fully featured. AGE is optimized for handling complex connected graph data. It provides plenty of robust databases features essential to the database environment, including ACID transactions, multi-version concurrency control (MVCC), stored procedure, triggers, constraints, sophisticated monitoring, and a flexible data model (JSON). Users with a relational background who require graph data analytics can use this extension with minimal effort because they can use existing data without having to go through migration. 



There is a strong need for cohesive, easy-to-implement multi-model databases. As an extension of PostgreSQL, AGE supports all the functionalities and features of PostgreSQL while also offering a graph model to boot.





  Overview



Apache AGE is : 



- **Powerful**: adds graph database support to the already popular PostgreSQL database: PostgreSQL is used by organizations including Apple, Spotify, and NASA.

- **Flexible**: allows you to perform openCypher queries, which makes complex queries much easier to write. It also enables multiple graphs at the same time.

- **Intelligent**: allows you to perform graph queries that are the basis for many next-level web services such as fraud detection, master data management, product recommendations, identity and relationship management, experience personalization, knowledge management, and more.





  Features










- **Cypher Query**: supports graph query language

- **Hybrid Querying**: enables SQL and/or Cypher

- **Querying**: enables multiple graphs

- **Hierarchical**: graph label organization

- **Property Indexes**: on both vertices(nodes) and edges

- **Full PostgreSQL**: supports PG features





  Documentation



Refer to our latest [Apache AGE documentation](https://age.apache.org/age-manual/master/index.html) to learn about installation, features, built-in functions, and  Cypher queries.





  Pre-Installation



Install the following essential libraries according to each OS. Building AGE from the source depends on the following Linux libraries (Ubuntu package names shown below):



- **CentOS**

```bash

yum install gcc glibc glib-common readline readline-devel zlib zlib-devel flex bison

```

- **Fedora**

```bash

dnf install gcc glibc bison flex readline readline-devel zlib zlib-devel

```

- **Ubuntu**

```bash

sudo apt-get install build-essential libreadline-dev zlib1g-dev flex bison

```





  Installation



Apache AGE is intended to be simple to install and run. It can be installed with Docker and other traditional ways. 







 Install PosgtreSQL




You will need to install an AGE compatible version of Postgres, for now AGE supports Postgres 11 and 12. Supporting the latest versions is on AGE roadmap. 

     



 Install From Package Manager




You can use a package management  that your OS provides to download AGE.







```bash

sudo apt install postgresql 



```



 Install From Source Code




You can  download the Postgres  source code and install your own instance of Postgres. You can read instructions on how to install from source code for different versions on the official Postgres Website.





  Install AGE on Linux and MacOS




Clone the github repository or download thedownload an official release.



Run the pg_config utility and check the version of PostgreSQL. Currently, only PostgreSQL versions 11 & 12 are supported. If you have any other version of Postgres, you will need to install PostgreSQL version 11 & 12.




    

```bash

pg_config

```

Run the following command in the source code directory of Apache AGE to build and install the extension.  

     

```bash

make install

```

     

If the path to your Postgres installation is not in the PATH variable, add the path in the arguments:

```bash

make PG_CONFIG=/path/to/postgres/bin/pg_config install

```







 Run using Docker




 Get the docker image 



```bash

docker pull apache/age



```

 Create AGE docker container 



```bash

docker run \

    --name age  \

    -p 5455:5432 \

    -e POSTGRES_USER=postgresUser \

    -e POSTGRES_PASSWORD=postgresPW \

    -e POSTGRES_DB=postgresDB \

    -d \

    apache/age

```





  Post Installation



For every connection of AGE you start, you will need to load the AGE extension.



```bash

CREATE EXTENSION age;

```

```bash

LOAD 'age';

```

```bash

SET search_path = ag_catalog, "$user", public;

```





  Quick Start



To create a graph, use the create_graph function located in the ag_catalog namespace.



```bash

SELECT create_graph('graph_name');

```



To create a single vertex, use the CREATE clause. 



```bash

SELECT * 

FROM cypher('graph_name', $$

    CREATE (n)

$$) as (v agtype);

```



To create a single vertex with the label, use the CREATE clause. 



```bash

SELECT * 

FROM cypher('graph_name', $$

    CREATE (:label)

$$) as (v agtype);

```



To query the graph, you can use the MATCH clause.  



```bash

SELECT * FROM cypher('graph_name', $$

MATCH (v)

RETURN v

$$) as (v agtype);

```



You can use the following to create an edge, for example, between two nodes. 



```bash

SELECT * 

FROM cypher('graph_name', $$

    MATCH (a:label), (b:label)

    WHERE a.property = 'Node A' AND b.property = 'Node B'

    CREATE (a)-[e:RELTYPE]->(b)

    RETURN e

$$) as (e agtype);

```



To create an edge and set properties.



```bash

SELECT * 

FROM cypher('graph_name', $$

    MATCH (a:label), (b:label)

    WHERE a.property = 'Node A' AND b.property = 'Node B'

    CREATE (a)-[e:RELTYPE {property:a.property + '<->' + b.property}]->(b)

    RETURN e

$$) as (e agtype);

```



Example 



```bash

SELECT * 

FROM cypher('graph_name', $$

    MATCH (a:Person), (b:Person)

    WHERE a.name = 'Node A' AND b.name = 'Node B'

    CREATE (a)-[e:RELTYPE {name:a.name + '<->' + b.name}]->(b)

    RETURN e

$$) as (e agtype);

```





  Language Specific Drivers



Starting with Apache AGE is very simple. You can easily select your platform and incorporate the relevant SDK into your code.










Built-in



- [Go driver](./drivers/golang)

- [Java driver](./drivers/jdbc)

- [NodeJs driver](./drivers/nodejs)

- [Python driver](./drivers/python)



Community-driven Driver



- [Apache AGE Rust Driver](https://github.com/Dzordzu/rust-apache-age.git)





  Community



Join the AGE community for help, questions, discussions, and contributions. 



- Check our [website](https://age.apache.org/)

- Chat live with us on [Discord](https://discord.com/invite/NMsBs9X8Ss/)

- Follow us on [Twitter](https://twitter.com/apache_age?s=20&t=7Hu8Txk4vjvuEp-ryakacg)

- Join our [Dev community](https://lists.apache.org/[email protected])





  Graph Visualization Tool for AGE



Apache AGE Viewer is a user interface for Apache AGE that provides visualization and exploration of data.

This web visualization tool allows users to enter complex graph queries and explore the results in graph and table forms.

Apache AGE Viewer is enhanced to proceed with extensive graph data and discover insights through various graph algorithms.

Apache AGE Viewer will become a graph data administration and development platform for Apache AGE to support multiple relational databases: .



**This is a visualization tool.**

After installing AGE Extension, you may use this tool to get access to the visualization features.



![Viewer gdb, and graph](/img/agce.gif)





  Contributing



You can improve ongoing efforts or initiate new ones by sending pull requests to [this repository](https://github.com/apache/age).

Also, you can learn from the code review process, how to merge pull requests, and from code style compliance to documentation by visiting the [Apache AGE official site - Developer Guidelines](https://age.apache.org/contribution/guide).

Send all your comments and inquiries to the user mailing list, [email protected].