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 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. …

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

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 …

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 …

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 …

There are more guides shared with other languages such as Quick Start in Programming Guides at the Spark documentation. There are live notebooks where you can try PySpark out without …

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 …

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 …

Apache Spark’s ability to choose the best execution plan among many possible options is determined in part by its estimates of how many rows will be output by every node in the …