Showing results for 
Search instead for 
Did you mean: 
Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
Showing results for 
Search instead for 
Did you mean: 

Structered Streamin from MongoDB Atlas not parsing JSON correctly

New Contributor

HI all,

I have a table in MongoDB Atlas that I am trying to read continuously to memory and then will write that file out eventually. However, when I look at the in-memory table it doesn't have the correct schema.

Code here:

from pyspark.sql.types import StructType, LongType, StringType, IntegerType

from pyspark import SparkContext

from pyspark.streaming import StreamingContext

from pyspark.sql import SparkSession

from pyspark.sql.functions import *

spark = SparkSession.builder \

    .appName("pdm_messagesStream") \

    .config("spark.jars", "org.mongodb.spark:mongo-spark-connector:10.0.5") \


readSchema = (StructType() \

    .add('_id', StringType()) \

    .add('deviceToken', StringType()) \

    .add('message', StringType()) \

    .add('messageId', StringType()) \

    .add('createdAt', StringType()) \

    .add('createdAtEpochSeconds', StringType())


dataStreamWriter = (spark.readStream \

    .format("mongodb") \

    .option("spark.mongodb.connection.uri", "mongodb+srv://xxxx@***/?retryWrites=true&readPreference=secondary&readPreferenceTags=nodeType:ANALYTICS&w=majority") \

    .option('spark.mongodb.database', "data") \

    .option('spark.mongodb.collection', "messages") \

    .option("forceDeleteTempCheckpointLocation", "true") \


    .load() \

    .writeStream \

    .format('memory') \

    .queryName("messages") \

    .trigger(continuous="1 second")


query = dataStreamWriter.start()

result from spark.table("pdm_messages").show(truncate=False):

image.pngAny help would be greatly appreciated.




Esteemed Contributor III
Esteemed Contributor III

Hi @sharonbjehome​ , This has to be checked thoroughly via a support ticket, did you follow


Also, could you please check with mongodb support, Was this working before?

Join 100K+ Data Experts: Register Now & Grow with Us!

Excited to expand your horizons with us? Click here to Register and begin your journey to success!

Already a member? Login and join your local regional user group! If there isn’t one near you, fill out this form and we’ll create one for you to join!