Skip to main content
Page 1
>

Named Arguments for SQL Functions

Today, we introduce the new availability of named arguments for SQL functions. With this feature, you can invoke functions in more flexible ways...

Introducing the Support of Lateral Column Alias

September 19, 2023 by Xinyi Yu, Wenchen Fan and Gengliang Wang in
We are thrilled to introduce the support of a new SQL feature in Apache Spark and Databricks: Lateral Column Alias (LCA). This feature...

Introducing Apache Spark™ 3.5

Today, we are happy to announce the availability of Apache Spark™ 3.5 on Databricks as part of Databricks Runtime 14.0. We extend our...

Introducing Apache Spark™ 3.4 for Databricks Runtime 13.0

Today, we are happy to announce the availability of Apache Spark™ 3.4 on Databricks as part of Databricks Runtime 13.0 . We extend...

Introducing Apache Spark™ 3.3 for Databricks Runtime 11.0

Today we are happy to announce the availability of Apache Spark™ 3.3 on Databricks as part of Databricks Runtime 11.0 . We want...

Introducing Apache Spark™ 3.2

We are excited to announce the availability of Apache Spark™ 3.2 on Databricks as part of Databricks Runtime 10.0 . We want to...

Introducing Apache Spark™ 3.1

We are excited to announce the availability of Apache Spark 3.1 on Databricks as part of Databricks Runtime 8.0 . We want to...

A Comprehensive Look at Dates and Timestamps in Apache Spark™ 3.0

Apache Spark is a very popular tool for processing structured and unstructured data. When it comes to processing structured data, it supports many...

Introducing Apache Spark 3.0

We’re excited to announce that the Apache Spark TM 3.0.0 release is available on Databricks as part of our new Databricks Runtime 7.0...

Adaptive Query Execution: Speeding Up Spark SQL at Runtime

Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...