
Akshata worked on the apache/hive repository to deliver JDK 17 compatibility for Apache Hive, focusing on both compile-time and runtime readiness. She updated build configurations and introduced necessary --add-opens flags for HADOOP_CLIENT_OPTS, ensuring the platform could operate seamlessly with Java 17. Her work extended to aligning CI/CD pipelines, Docker images, and runtime scripts with the new JDK requirements, using technologies such as Docker, Java, and Shell scripting. This effort established a foundation for ongoing Java modernization, reducing future maintenance risks and enabling downstream users to adopt Java 17 more smoothly across diverse deployment environments.

Monthly Summary for 2025-05: Apache Hive delivery focused on Java 17 readiness. Implemented Hive JDK 17 compatibility across compile and runtime by updating build configurations and adding necessary --add-opens for HADOOP_CLIENT_OPTS. Aligned CI/CD pipelines, Docker images, and runtime scripts with JDK 17 requirements to ensure consistent deployments across environments. Commit reference: 413069ea0faeb893fe78faa215b08a70ece80595 (HIVE-26473: Hive JDK-17 support for compile and runtime (#5404)).
Monthly Summary for 2025-05: Apache Hive delivery focused on Java 17 readiness. Implemented Hive JDK 17 compatibility across compile and runtime by updating build configurations and adding necessary --add-opens for HADOOP_CLIENT_OPTS. Aligned CI/CD pipelines, Docker images, and runtime scripts with JDK 17 requirements to ensure consistent deployments across environments. Commit reference: 413069ea0faeb893fe78faa215b08a70ece80595 (HIVE-26473: Hive JDK-17 support for compile and runtime (#5404)).
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