Spark | search
Click here to view Spark news from 60+ newspapers.
Bookmark or Share- Spark Streaming - Spark 3.5.3 Documentation - Apache SparkSpark Streaming is an extension of the core Spark API that enables scalable, high-throughput, fault-tolerant stream processing of live data streams. Data can be ingested from many sources like Kafka, Kinesis, or TCP sockets, and can be processed using complex algorithms expressed with high-level functions like map , reduce , join and window .
- Spark SQL, Built-in Functions - Apache Sparkexists. exists (expr, pred) - Tests whether a predicate holds for one or more elements in the array. Examples: > SELECT exists(array (1, 2, 3), x -> x % 2 == 0); true. > SELECT exists(array (1, 2, 3), x -> x % 2 == 10); false. > SELECT exists(array (1, null, 3), x -> x % 2 == 0); NULL.
- Quick Start - Spark 3.5.3 Documentation - Apache SparkThis tutorial provides a quick introduction to using Spark. We will first introduce the API through Spark’s interactive shell (in Python or Scala), then show how to write applications in Java, Scala, and Python. To follow along with this guide, first, download a packaged release of Spark from the Spark website.
- Data Types - Spark 3.5.3 Documentation - Apache SparkAll data types of Spark SQL are located in the package of org.apache.spark.sql.types. To access or create a data type, please use factory methods provided in org.apache.spark.sql.types.DataTypes.
- Overview - Spark 3.5.3 Documentation - Apache SparkThe Spark cluster mode overview explains the key concepts in running on a cluster. Spark can run both by itself, or over several existing cluster managers. It currently provides several options for deployment: Standalone Deploy Mode: simplest way to deploy Spark on a private cluster.
More
