Phasing Out the Mongo Hadoop Connector, Introducing the Mongo Spark Connector

I am sharing the information I gathered on integrating MongoDB with Hadoop for use.

Info

This article was originally written in Korean and has been translated using ChatGPT.

Sqoop is commonly employed for transferring data from a database to Hadoop via ETL processes.
For this connection in Sqoop, a specific Connector is required.
In search of a Connector compatible with MongoDB, I visited Github only to find that it has reached its End-of-Life (EOL) status.

This doesn’t mean MongoDB will cease to support ETL moving forward! Thus, I explored alternative methods.
The solution was discovered within the MongoDB Community.
According to their page, support is provided through the Spark Connector.

In summary, the shift to using a Spark Connector is attributed to the growing interest in Spark over Hadoop.
I strongly recommend reading the detailed explanation.

For information on the MongoDB Spark Connector, you can refer to the link provided.

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