SPARK SQL AND DATAFRAMES - SPARK 4.0.0 DOCUMENTATION
Spark SQL is a Spark module for structured data processing. Unlike the basic Spark RDD API, the interfaces provided by Spark SQL provide Spark with more information about the structure … From spark.apache.org
Integrated Seamlessly mix SQL queries with Spark programs. Spark SQL lets you query structured data inside Spark programs, using either SQL or a familiar DataFrame API. Usable … From spark.apache.org
This guide shows each of these features in each of Spark’s supported languages. It is easiest to follow along with if you launch Spark’s interactive shell – either bin/spark-shell for the Scala … From spark.apache.org
Spark allows you to perform DataFrame operations with programmatic APIs, write SQL, perform streaming analyses, and do machine learning. Spark saves you from learning multiple … From spark.apache.org
As new Spark releases come out for each development stream, previous ones will be archived, but they are still available at Spark release archives. NOTE: Previous releases of Spark may … From spark.apache.org
May 19, 2025 PySpark combines Python’s learnability and ease of use with the power of Apache Spark to enable processing and analysis of data at any size for everyone familiar with Python. … From spark.apache.org
Where to Go from Here This 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 … From spark.apache.org
The documentation linked to above covers getting started with Spark, as well the built-in components MLlib, Spark Streaming, and GraphX. In addition, this page lists other resources … From spark.apache.org
It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, pandas API on Spark for pandas workloads, MLlib for machine learning, GraphX … From spark.apache.org
APACHE SPARK™ - UNIFIED ENGINE FOR LARGE-SCALE DATA ANALYTICS
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. From spark.apache.org
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