Structured Streaming is the Apache Spark API that lets you express computation on streaming data in the same way you express a batch computation on static data. The Spark SQL engine performs the computation incrementally and continuously updates the result as streaming data arrives.
What is queryName in Spark Streaming?
queryName (queryName)[source] Specifies the name of the StreamingQuery that can be started with start() . This name must be unique among all the currently active queries in the associated SparkSession.
In which output mode only those records are sent to the sink which have been updated in the result table in the current micro batch?
Update Mode
Which among the following can act as a data source for Spark Streaming?
Spark Streaming has two categories of streaming sources. Basic sources: Sources directly available in the StreamingContext API. Example: file systems, socket connections, and Akka actors. Advanced sources: Sources like Kafka, Flume, Kinesis, Twitter, etc.
What is sink in Spark Streaming?
Sink is the extension of the BaseStreamingSink contract for streaming sinks that can add batches to an output. Sink is part of Data Source API V1 and used in Micro-Batch Stream Processing only.
Which 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.
What is the thing called that holds water in the sink?
Basin: The basin is the part of the sink that holds water from the faucet. It has a drain in the bottom that allows water to escape.