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 …

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 …

pyspark.pandas.Series.pandas_on_spark.transform_batch pyspark.pandas.DataFrame.pandas_on_spark.apply_batch …

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. …

Apache Spark 4.0.0 marks a significant milestone as the inaugural release in the 4.x series, embodying the collective effort of the vibrant open-source community.

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 …

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 …

Spark supports two types of shared variables: broadcast variables, which can be used to cache a value in memory on all nodes, and accumulators, which are variables that are only “added” to, …

While being a maintenance release we did still upgrade some dependencies in this release they are: [SPARK-50150]: Upgrade Jetty to 9.4.56.v20240826 [SPARK-50316]: Upgrade ORC to …

Spark Release 3.5.6 Spark 3.5.6 is the sixth maintenance release containing security and correctness fixes. This release is based on the branch-3.5 maintenance branch of Spark. We …