aihuaxu commented on code in PR #14218: URL: https://github.com/apache/iceberg/pull/14218#discussion_r2393491291
########## docs/docs/v3-adoption-progress.md: ########## @@ -0,0 +1,155 @@ +--- +title: "Apache Iceberg V3 Table Format Adoption Progress" +--- +<!-- + - Licensed to the Apache Software Foundation (ASF) under one or more + - contributor license agreements. See the NOTICE file distributed with + - this work for additional information regarding copyright ownership. + - The ASF licenses this file to You under the Apache License, Version 2.0 + - (the "License"); you may not use this file except in compliance with + - the License. You may obtain a copy of the License at + - + - http://www.apache.org/licenses/LICENSE-2.0 + - + - Unless required by applicable law or agreed to in writing, software + - distributed under the License is distributed on an "AS IS" BASIS, + - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + - See the License for the specific language governing permissions and + - limitations under the License. + --> + +# Apache Iceberg V3 Table Format Adoption Progress + +This document tracks the implementation status of Apache Iceberg V3 Table Format features across different engines and components. + +## Overview + +Apache Iceberg V3 Table Format introduces several new features including new data types, row lineage, deletion vectors, default values, and table encryption. This document provides a comprehensive comparison of V3 feature implementation status across Apache Iceberg Core, Apache Spark, and Apache Flink. + +## V3 Features Implementation Status + +| **V3 Feature** | **Core** | **Spark** | **Flink** | **Notes** | +|---|---|---|---|---| +| **New Data Types** | | | | | +| `unknown` type | ✅ **Implemented** | ⚠️ **Partially Implemented** | ✅ **Implemented** | Core: Full support. Spark: v4.0+ ✅, v3.4/v3.5 ❌. Flink: Full support. | +| `timestamp_ns` (nanosecond timestamps) | ✅ **Implemented** | ❌ **Not Implemented** | ✅ **Implemented** | Core: Full support including timestamptz_ns. Spark: Not supported in any version. Flink: Full support including timestamptz_ns. | +| `variant` type | ⚠️ **Partially Implemented** | ❌ **Not Implemented** | ❌ **Not Implemented** | Core: Avro ✅, Parquet ✅, ORC ❌. Spark/Flink: No support. | Review Comment: For variant type, Spark is Partially Implemented - we are missing writing shredded variant but we can read both shredded and unshredded variant in Spark. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
