MongoDB Spark Connection Issues

Kirki — Mon, 03 Mar 2025 15:46:08 GMT

Hi. I have a local MongoDB running on an EC2 instance in the same AWS VPC as my Databricks cluster but cannot get Databricks to talk to MongoDB.

I've followed the guide at https://docs.databricks.com/aws/en/connect/external-systems/mongodb and have also reviewed the MongoDB guidance at https://www.mongodb.com/docs/spark-connector/current/getting-started/ but to no avail.

I've attempted adding the MongoDB configuration to the cluster Spark configuration, and configuring locally within the Notebook.

from pyspark.sql import SparkSession

my_spark = SparkSession \

.builder \

.appName("myApp") \

.config("spark.mongodb.read.connection.uri", "mongodb://x.x.x.x:27017/") \

.config("spark.mongodb.write.connection.uri", "mongodb://x.x.x.x:27017/") \

.getOrCreate()

database = "mydatabase"

collection = "mycollection"

df = my_spark.read.format("mongodb") \

.option("database", database) \

.option("collection", collection) \

.load()

However, on each run, I get the following error regardless of how I configure things:

(com.mongodb.MongoTimeoutException) Timed out while waiting for a server that matches ReadPreferenceServerSelector{readPreference=primary}. Client view of cluster state is {type=UNKNOWN, servers=[{address=localhost:27017, type=UNKNOWN, state=CONNECTING, exception={com.mongodb.MongoSocketOpenException: Exception opening socket}, caused by {java.net.ConnectException: Connection refused (Connection refused)}}]

I've verified connectivity with the EC2 host that is running the MongoDB instance, but from the error, it looks like it is attempting to connect to localhost:27017, rather than the IP I've configured. Is this just a bogus error or am I missing something in the config?

I'm out of ideas so looking for some help/guidance. Thanks!

Re: MongoDB Spark Connection Issues

Isi — Wed, 28 May 2025 21:21:03 GMT

Hey @Kirki maybe its late but I will try to help you or others to create these connections

First thing make sure you have installed inside your cluster the connector

org.mongodb.spark:mongo-spark-connector_2.12:3.0.1

You can use directly in your spark.read sentence like that

df = spark.read.format("mongodb") \ .option("uri", "mongodb://<your-ec2-ip>:27017/") \ .option("database", "mydatabase") \ .option("collection", "mycollection") \ .load()

df = spark.read.format("mongodb") \ .option("spark.mongodb.input.uri", "mongodb://<your-ec2-ip>:27017/mydatabase.mycollection") \ .load()

Set it in the Spark config of your cluster:

spark.mongodb.input.uri mongodb+srv://<user>:<pass>@<cluster>/ spark.mongodb.output.uri mongodb+srv://<user>:<pass>@<cluster>/

Try connecting directly from a Databricks notebook:

%sh nc -zv <ec2-ip> 27017

At the cluster is an EC2 so:
Make sure MongoDB listens on 0.0.0.0 and your EC2 allows inbound connections on port 27017

Hope this helps, 🙂

Isi

topic MongoDB Spark Connection Issues in Warehousing & Analytics

MongoDB Spark Connection Issues

Re: MongoDB Spark Connection Issues