We are happy to announce the availability of Apache Spark 3.5.5!
Spark 3.5.5 is the fifth maintenance release based on the
branch-3.5 maintenance branch of Spark. It contains many fixes
including security and correctness domains. We strongly
recommend all 3.5 users to upgrade to this stable releas
Hi Team,
I have a use-case of writing data into an iceberg table using spark.
The table has 3 partition columns (file_date, city, creation_date) and
a bucket by another column (user_id,4).
"partition-specs" : [ {
"spec-id" : 0,
"fields" : [ {
"name" : "file_date",
"transfo
