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I am using Apache Age Graph SQL and would like to include Apache Spark or Hadoop in my current data processing workflow. My objective is to make use of Apache Age Graph SQL's graph capabilities while taking advantage of these frameworks' distributed computation capability.

Is it feasible to combine Apache Spark or Hadoop with Apache Age Graph SQL? Do there Exist any procedures or connectors that might be considered for accomplishing this connection?

Any code samples, thorough guidance, or suggested readings that illustrate how to integrate Apache Age Graph SQL with Apache Spark or Hadoop would be very appreciated. Please mention in your response, if there are any other best practices or instructions for enhancing functionality or maintaining data consistency in this integration.

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Yes, it is feasible to use Apache Spark or Hadoop with Apache Age graph SQL. You can use PostgreSQL JDBC driver for this purpose.

adil shahid
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As suggested by others the only option we have is a connector such as a JDBC connection because there's no native support for it. How you use this connection is entirely dependent on your use case though.

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Apache Spark and Hadoop are big data processing frameworks that are very good at processing large datasets and distributed computing. Thus, it would be best to integrate with Apache Age Graph SQL. On specific details about how to perform the exact integration, I would recommend looking at the official documentations of each of these frameworks.

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I think preparing the data with Spark or Hadoop, you can load it into AGE.

Marcos Silva
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  • This does not provide an answer to the question. To critique or request clarification from an author, leave a comment below their post. - [From Review](/review/low-quality-posts/34926593) – Kristian Sep 02 '23 at 02:57
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  • Make sure that you have both Apache-AGE and ( Apache Spark or Hadoop ) installed in your system with proper versions and dependencies.

  • Both Apache Spark and Hadoop can interact with Apache-AGE using PostgreSQL JDBC drivers. You'll need to configure a JDBC connection to your Apache AGE-enabled PostgreSQL database.

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There is no direct way to connect Apache Spark with Apache AGE, but you can use PostgreSQL JDBC drivers for connection. You can try it using saving data in file on one end and then reading it on the other.