Stream-To-Stream Joins In Spark

Ayush Tiwari shows how to join a pair of streams in Apache Spark 2.3:

In Spark 2.3, it added support for stream-stream joins, i.e, we can join two streaming Datasets/DataFrames and in this blog we are going to see how beautifully spark now give support for joining the two streaming dataframes.

I this example, I am going to use

Apache Spark 2.3.0
Apache Kafka 0.11.0.1
Scala 2.11.8

Click through for the demo.

Related Posts

It’s All ETL (Or ELT) In The End

Robin Moffatt notes that ETL (and ELT) doesn’t go away in a streaming world: In the past we used ETL techniques purely within the data-warehousing and analytic space. But, if one considers why and what ETL is doing, it is actually a lot more applicable as a broader concept. Extract: Data is available from a source system Transform: We […]

Read More

Flint: Time Series With Spark

Li Jin and Kevin Rasmussen cover the concepts of Flint, a time-series library built on Apache Spark: Time series analysis has two components: time series manipulation and time series modeling. Time series manipulation is the process of manipulating and transforming data into features for training a model. Time series manipulation is used for tasks like data […]

Read More

Categories

May 2018
MTWTFSS
« Apr Jun »
 123456
78910111213
14151617181920
21222324252627
28293031