I received some questions about what the exact change was which fixed the
issue, and the PMC decided to post info in jira to make it easier for the
community to track. The relevant details are all on
https://issues.apache.org/jira/browse/SPARK-26802
On Mon, Jan 28, 2019 at 1:08 PM Imran Rashid
Severity: Important
Vendor: The Apache Software Foundation
Versions affected:
All Spark 1.x, Spark 2.0.x, and Spark 2.1.x versions
Spark 2.2.0 to 2.2.2
Spark 2.3.0 to 2.3.1
Description:
When using PySpark , it's possible for a different local user to connect to
the Spark application and imperson
