We are happy to announce the availability of Spark 3.0.2!
Spark 3.0.2 is a maintenance release containing stability fixes.
This release is based on the branch-3.0 maintenance branch of Spark.
We strongly recommend all 3.0 users to upgrade to this stable release.
To download Spark 3.0.2, head
Hi,
I have been working on Spark SQL Macros
https://github.com/hbutani/spark-sql-macros
Spark SQL Macros provide a capability to register custom functions into a
Spark Session that is similar to UDF Registration. The difference being
that the SQL Macros registration mechanism attempts to
Hello,
Issues :
* I and my team are trying to consume some kafka topics based on the
timestamps using startingOffsetsByTimestamps option, and the code works fine
when we run via a Databricks notebook.
* There is a need to setup the whole process in a local system (IntelliJ),
but the
