talatuyarer commented on code in PR #14218: URL: https://github.com/apache/iceberg/pull/14218#discussion_r2409031620
########## site/docs/v3-adoption-progress.md: ########## @@ -0,0 +1,173 @@ +--- +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 v3.4** | **Spark v3.5** | **Spark v4.0** | **Flink v1.20** | **Flink v2.0** | **Flink v2.1** | +|---|---|---|---|---|---|---|---| +| **New Data Types** | | | | | | | | +| `unknown` type | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | +| `timestamp_ns` (nanosecond timestamps) | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | +| `variant` type | ⚠️ Avro supported, Parquet supported, ORC not supported | ⚠️ Read supported, Write shredded not supported | ⚠️ Read supported, Write shredded not supported | ⚠️ Read supported, Write shredded not supported | ❌ | ❌ | ❌ | +| `geometry` type | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | +| `geography` type | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | +| **Deletion Vectors** | | | | | | | | +| Binary Deletion vector support | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | +| **Default Values** | | | | | | | | +| Field default values | ✅ | ⚠️ Read/Write supported, DDL not supported | ⚠️ Read/Write supported, DDL not supported | ⚠️ Read/Write supported, DDL not supported | ✅ | ✅ | ✅ | +| **Table Encryption** | | | | | | | | +| AES-GCM encryption | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | +| **Multi-Argument Transforms** | | | | | | | | +| Z-order partitioning/sorting | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | +| **Row Lineage** | | | | | | | | +| `_row_id` column | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | +| `_last_updated_sequence_number` | ✅ | ✅ | ✅ | ✅ | ❌ | ❌ | ❌ | + +### Legend +- ✅ **Fully Implemented** +- ⚠️ **Partially Implemented** +- ❌ **Not Implemented** + +### Implementation Notes + +**Core:** +- `variant` type: Avro ✅, Parquet ✅, ORC ❌ +- `geometry`/`geography` types: Type definitions exist but no data processing implementation + +**Spark (all versions):** +- `variant` type: Can read shredded and unshredded variant, missing writing shredded variant +- Field default values: Reader/writer support ✅, DDL integration (CREATE TABLE, ALTER TABLE) ❌ + +**Flink (all versions):** +- Full support includes both `timestamp_ns` and `timestamptz_ns` + +## Implementation Status Summary + +### Apache Iceberg Core +- **Status**: ✅ **Mostly Complete** +- **Implemented**: All core V3 features including new data types (except geometry/geography data processing), row lineage, deletion vectors, default values, and table encryption +- **Missing**: Actual data processing implementation for geometry and geography types (type definitions exist but no functional implementation) + +### Apache Spark +- **Status**: ⚠️ **Partial Support** (v4.0+) +- **Implemented**: Row lineage, deletion vectors, default values, unknown type, and basic V3 features +- **Missing**: Variant type, geometry/geography types, table encryption, nanosecond timestamps + +### Apache Flink +- **Status**: ⚠️ **Basic Support** +- **Implemented**: Unknown type, nanosecond timestamps, default values, and basic V3 features +- **Missing**: Row lineage, deletion vectors, variant type, geometry/geography types, table encryption + +## File Format Support Details + +### Variant Type File Format Support in Core + +| **File Format** | **Core Support** | **Implementation Status** | **Notes** | +|---|---|---|---| +| **Avro** | ✅ **Full Support** | Complete with `VariantConversion` and `VariantLogicalType` | Full read/write support | +| **Parquet** | ✅ **Full Support** | Complete with `VariantWriterBuilder` and `VariantReaderBuilder` | Supports both serialized and shredded variants | +| **ORC** | ❌ **Not Implemented** | Schema conversion exists but throws `UnsupportedOperationException` | No actual read/write implementation | + +### Geometry/Geography Type File Format Support + +| **File Format** | **Core Support** | **Implementation Status** | **Notes** | +|---|---|---|---| +| **Avro** | ❌ **Not Implemented** | Type definitions exist but no data processing | No conversion or logical type support | +| **Parquet** | ❌ **Not Implemented** | Type definitions exist but no data processing | No read/write implementation | +| **ORC** | ❌ **Not Implemented** | Type definitions exist but no data processing | No read/write implementation | + +### Timestamp Nanoseconds Support + +| **Engine** | **timestamp_ns** (nanos) | **timestamptz_ns** (nanos) | **Notes** | +|---|---|---|---| +| **Core** | ✅ **Full Support** | ✅ **Full Support** | Complete support for all timestamp types and precisions | +| **Spark** | ❌ **Not Implemented** | ❌ **Not Implemented** | Only supports microsecond precision timestamps | +| **Flink** | ✅ **Full Support** | ✅ **Full Support** | Complete support for all timestamp types and precisions | + +### Unknown Type Support + +| **Engine** | **Core Support** | **Implementation Status** | **Notes** | +|---|---|---|---| +| **Core** | ✅ **Full Support** | Complete type system and schema evolution support | Supports optional unknown fields, proper validation | +| **Spark v4.0+** | ✅ **Full Support** | Complete type mapping to `NullType` | Full support with comprehensive tests | +| **Spark v3.4/v3.5** | ❌ **Not Implemented** | Missing from type conversion | Throws "Cannot convert unknown type to Spark" error | +| **Flink** | ✅ **Full Support** | Complete type mapping to `NullType` | Full support across all versions (v1.20, v2.0, v2.1) | + +### Multi-Argument Transforms Support + +| **Engine** | **Z-Order Support** | **Implementation Status** | **Notes** | +|---|---|---|---| +| **Core** | ✅ **Full Support** | Complete `Zorder` class implementation | Full support for multi-column transforms in partitioning and sorting | +| **Spark** | ✅ **Full Support** | Complete `SparkZOrderFileRewriteRunner` implementation | Full support across all versions (v3.4, v3.5, v4.0) with file rewriting | +| **Flink** | ❌ **Not Implemented** | No multi-argument transform support | Only single-argument transforms supported | + +### Default Values Support + +| **Engine** | **initial-default** | **write-default** | **Notes** | +|---|---|---|---| +| **Core** | ✅ **Full Support** | ✅ **Full Support** | Complete support for both types with schema evolution | +| **Spark** | ✅ **Full Support** | ✅ **Full Support** | Full support across all versions (v3.4, v3.5, v4.0) | Review Comment: Thank you. 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