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.
Overview - Spark 3.5.4 Documentation - Apache Spark
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 …
Quick Start - Spark 3.5.4 Documentation - Apache Spark
Unlike the earlier examples with the Spark shell, which initializes its own SparkSession, we initialize a SparkSession as part of the program. To build the program, we also write a Maven …
Documentation - Apache Spark
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 …
Downloads - Apache Spark
Download Spark: Verify this release using the and project release KEYS by following these procedures . Note that Spark 3 is pre-built with Scala 2.12 in general and Spark 3.2+ provides …
PySpark Overview — PySpark 3.5.4 documentation - Apache Spark
2024年12月17日 · 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 …
Examples - Apache Spark
Spark is a great engine for small and large datasets. It can be used with single-node/localhost environments, or distributed clusters. Spark’s expansive API, excellent performance, and …
Spark SQL & DataFrames - Apache Spark
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 in Java, Scala, …
Configuration - Spark 3.5.4 Documentation - Apache Spark
This requires one of the following conditions: 1) enabling external shuffle service through spark.shuffle.service.enabled, or 2) enabling shuffle tracking through …
Structured Streaming Programming Guide - Spark 3.5.4 …
In a version of spark that supports changelog checkpointing, you can migrate streaming queries from older versions of Spark to changelog checkpointing by enabling changelog checkpointing …