MongoDB Connector for SparkΒΆ
The MongoDB Connector for Spark provides integration between MongoDB and Apache Spark.
With the connector, you have access to all Spark libraries for use with MongoDB datasets: Datasets for analysis with SQL (benefiting from automatic schema inference), streaming, machine learning, and graph APIs. You can also use the connector with the Spark Shell.
The MongoDB Connector for Spark is compatible with the following versions of Apache Spark and MongoDB:
MongoDB Connector for Spark | Spark Version | MongoDB Version |
---|---|---|
2.3.0 | 2.3.x | 2.6 or later |
2.2.4 | 2.2.x | 2.6 or later |
2.1.3 | 2.1.x | 2.6 or later |
2.0.0 | 2.0.x | 2.6 or later |
1.1.0 | 1.6.x | 2.6 or later |
Announcements
- July 30, 2018, MongoDB Connector for Spark versions v2.3.0, v2.2.4 and v2.1.3 Released.
- June 19, 2018, MongoDB Connector for Spark versions v2.2.3 and v2.1.2 Released.
- April 18, 2018, MongoDB Connector for Spark versions v2.2.2 Released.
- Oct 31, 2017, MongoDB Connector for Spark versions v2.2.1 and v2.2.1 Released.
- July 13, 2017, MongoDB Connector for Spark v2.2.0 Released.
- July 12, 2017, MongoDB Connector for Spark versions v2.2.0 and v2.1.0 Released.
- November 1, 2016, MongoDB Connector for Spark v2.0.0 Released.
- Online course. Getting Started with Spark and MongoDB.