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.
PySpark Overview — PySpark 4.0.1 documentation - Apache Spark
Spark Connect is a client-server architecture within Apache Spark that enables remote connectivity to Spark clusters from any application. PySpark provides the client for the Spark Connect server, …
Spark Streaming - Spark 4.0.1 Documentation - Apache Spark
Spark 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, …
Configuration - Spark 4.0.1 Documentation
Spark provides three locations to configure the system: Spark properties control most application parameters and can be set by using a SparkConf object, or through Java system properties. …
Structured Streaming Programming Guide - Spark 4.0.1 Documentation
Structured Streaming is a scalable and fault-tolerant stream processing engine built on the Spark SQL engine. You can express your streaming computation the same way you would express a batch …
pyspark.sql.DataFrame.where — PySpark 4.0.1 documentation
pyspark.pandas.Series.pandas_on_spark.transform_batch pyspark.pandas.DataFrame.pandas_on_spark.apply_batch …
Structured Streaming Programming Guide - Spark 4.0.1 Documentation
Types of time windows Spark supports three types of time windows: tumbling (fixed), sliding and session. Tumbling windows are a series of fixed-sized, non-overlapping and contiguous time …
MLlib: Main Guide - Spark 4.0.1 Documentation
“Spark ML” is not an official name but occasionally used to refer to the MLlib DataFrame-based API. This is majorly due to the org.apache.spark.ml Scala package name used by the DataFrame-based …
Spark Release 3.5.5 - Apache Spark
Dependency changes While being a maintenance release we did still upgrade some dependencies in this release they are: [SPARK-50886]: Upgrade Avro to 1.11.4 You can consult JIRA for the detailed …
Structured Streaming Programming Guide - Spark 4.0.1 Documentation
Structured Streaming Programming Guide As of Spark 4.0.0, the Structured Streaming Programming Guide has been broken apart into smaller, more readable pages. You can find these pages here.