Apache-Spark on Project Wintermute

Apache Spark Timestamp Precision And SQL Function Changes

Tue, 11 Aug 2026 19:51:22 +0000

Apache Spark is a distributed engine for batch, streaming, and SQL workloads. Its master branch recorded 133 commits in the review window, changing 773 files with 32,314 insertions and 2,949 deletions. The useful data engineering story is tighter timestamp precision, a broader SQL surface, and fewer blind spots during reads and failures.

Apache Spark Cache And Streaming Metadata Notes

Tue, 21 Jul 2026 14:00:07 +0000

Apache Spark had a busy week, with 108 commits on master and several changes that matter to data platform teams more than application authors. The main thread is practical: cache layout, Kafka metadata calls, Real Time Mode checkpoint cost, and catalog metadata that needs to be correct when tools read JSON output.

Apache Spark Python UDF And SQL Operator Notes

Mon, 06 Jul 2026 14:00:02 +0000

Apache Spark had a busy week on master: 120 commits touched 457 files. The activity in apache/spark is not a release note dump; it is mostly data path cleanup around Python UDF transport, SQL correctness, security, and test determinism that affects teams running Spark as part of an ETL platform.