What is StreamingContext?
Also know, what is spark streaming used for?
Spark Streaming is an extension of the core Spark API that allows data engineers and data scientists to process real-time data from various sources including (but not limited to) Kafka, Flume, and Amazon Kinesis. This processed data can be pushed out to file systems, databases, and live dashboards.
One may also ask, which of the following sources can spark streaming receive data? Spark Streaming supports data sources such as HDFS directories, TCP sockets, Kafka, Flume, Twitter, etc. Data Streams can be processed with Spark's core APIS, DataFrames SQL, or machine learning APIs, and can be persisted to a filesystem, HDFS, databases, or any data source offering a Hadoop OutputFormat.
Considering this, what is spark Kafka?
Kafka is a potential messaging and integration platform for Spark streaming. Kafka act as the central hub for real-time streams of data and are processed using complex algorithms in Spark Streaming.
What is a batch interval?
Batch Interval (aka batchDuration) Batch Interval is a property of a Streaming application that describes how often an RDD of input records is generated. It is the time to collect input records before they become a micro-batch.