Hi everyone, Since we graduated from the incubator last month, we have to report to the ASF board monthly for a quarter. Below is my draft of the report. Feel free to reply with anything you'd like to add. Thanks!
---- ## Description: Apache Iceberg is a table format for huge analytic datasets that is designed for high performance and ease of use. ## Issues: There are no issues requiring board attention. ## Membership Data: Apache Iceberg was founded 2020-05-19 (21 days ago) There are currently 9 committers and 9 PMC members in this project. The Committer-to-PMC ratio is 1:1. Community changes, past quarter: - No new PMC members (project graduated recently). - No new committers were added. ## Project Activity: There were two community syncs in May, with good discussions on adding secondary indexes and fixing some persistent issues, like Guava library conflicts and how to support multiple Spark versions. Development activity: - Row-level delete progress continues with several PRs merged - Added support for ORC predicate push-down and metrics filtering, which is a significant step toward performance parity with Parquet - The vectorized Parquet read path is passing end-to-end tests for flat data - Guava is now shaded and relocated, unblocking integration with Hive - The build changed dependency locking plugins to unblock Hive and Spark 3 work - Flink contributors opened pull requests to merge the prototype sink ## Community Health: Nearly all metrics (list traffic, pull requests, and issues opened) are showing an increase in the last month, and the community has made significant progress on several large extensions (ORC and Flink, notably). -- Ryan Blue Software Engineer Netflix