feat(iceberg_fdw): [WRA-16] add schema evolution support

docs/catalog/iceberg.md

@@ -359,7 +359,6 @@ values (1, 'New Record', now());
 
 ### Limitations for Insertion
 
-- Schema evolution during insert is not supported
 - Only append operations are supported (no upserts)
 - Complex data types (nested structs, arrays, maps) have limited support
 
@@ -371,13 +370,45 @@ When using the `create_table_if_not_exists` option, please be aware of the follo
 - **Partitioning**: The automatically created table will use default partitioning settings. You cannot specify custom partition or sort specifications during automatic creation.
 - **Identifier Fields**: The automatically created table will not have any identifier fields specified. If you need identifier fields, you must create the Iceberg table manually beforehand.
 
+## Schema Evolution
+
+The Iceberg FDW supports [Apache Iceberg schema evolution](https://iceberg.apache.org/spec/#schema-evolution). When columns are added to an Iceberg table after data has already been written, rows from older data files will return `NULL` for those new columns, which matches Iceberg spec behavior.
+
+For example, given a table that initially has `id` and `name` columns, and later gains a `score` column:
+
+```sql
+-- rows written before the column was added return NULL for 'score',
+-- while newer rows return the actual value
+select id, name, score from iceberg.members order by id;
+
+-- id | name  | score
+-- ----+-------+-------
+--  1 | alice | NULL
+--  2 | bob   | NULL
+--  3 | carol |    42
+--  4 | dave  |    99
+```
+
+Filter pushdown on newly-added columns also works correctly:
+
+```sql
+select name from iceberg.members where score > 50;
+
+-- name
+-- ------
+-- dave
+```
+
+!!! note
+
+    The foreign table definition in Postgres must include any new columns to read them. Re-run `import foreign schema` (which will refresh the `schema_id` option) or add the columns manually with `alter foreign table` and update or drop any pinned `schema_id` on the foreign table; otherwise, the FDW may still use an older schema and report `ColumnNotFound` for newly-evolved columns.
+
 ## Limitations
 
 This section describes important limitations and considerations when using this FDW:
 
 - Only supports specific data type mappings between Postgres and Iceberg
 - UPDATE, DELETE, and TRUNCATE operations are not supported
-- [Apache Iceberg schema evolution](https://iceberg.apache.org/spec/#schema-evolution) is not supported
 - When using Iceberg REST catalog, only supports AWS S3 (or compatible) as the storage
 - Materialized views using these foreign tables may fail during logical backups
 

wrappers/Cargo.toml

@@ -184,9 +184,9 @@ iceberg_fdw = [
     "uuid",
 ]
 duckdb_fdw = [
-    "arrow-array",
-    "arrow-schema",
-    "arrow-json",
+    "arrow-array-compat",
+    "arrow-schema-compat",
+    "arrow-json-compat",
     "chrono",
     "duckdb",
     "regex",
@@ -281,10 +281,10 @@ async-compression = { version = "0.3.15", features = [
     "zlib",
 ], optional = true }
 http = { version = "0.2", optional = true }
-parquet = { version = "55.1.0", features = ["async"], optional = true }
-arrow-array = { version = "55.1.0", optional = true }
-arrow-schema = { version = "55.1.0", optional = true }
-arrow-json = { version = "55.1.0", optional = true }
+parquet = { version = "57.3.0", features = ["async"], optional = true }
+arrow-array = { version = "57.3.0", optional = true }
+arrow-schema = { version = "57.3.0", optional = true }
+arrow-json = { version = "57.3.0", optional = true }
 
 # for mssql_fdw
 tiberius = { version = "0.12.2", features = [
@@ -319,13 +319,19 @@ anyhow  = { version = "1.0.81", optional = true }
 uuid = { version = "1.18.0", features = ["v7"], optional = true }
 
 # for iceberg_fdw
-iceberg = { version = "0.6.0", optional = true }
-iceberg-catalog-s3tables = { git = "https://github.com/burmecia/iceberg-rust", rev = "6548db2cc02b8ecd65e698e58d372d7dfb342b9c", package="iceberg-catalog-s3tables", optional = true }
-iceberg-catalog-rest = { version = "0.6.0", optional = true }
+iceberg = { version = "0.8.0", optional = true }
+iceberg-catalog-s3tables = { version = "0.8.0", optional = true }
+iceberg-catalog-rest = { version = "0.8.0", optional = true }
 rust_decimal = { version = "1.37.1", optional = true }
 
 # for duckdb_fdw
 duckdb = { version = "=1.3.2", features = ["bundled"], optional = true }
+# Version-pinned arrow compat deps matching duckdb's bundled arrow (55.x).
+# The workspace uses arrow 57.x for iceberg_fdw; using 57.x here causes type
+# incompatibilities because duckdb::arrow::* types implement the 55.x traits.
+arrow-array-compat = { package = "arrow-array", version = "55", optional = true }
+arrow-json-compat = { package = "arrow-json", version = "55", optional = true }
+arrow-schema-compat = { package = "arrow-schema", version = "55", optional = true }
 
 [dev-dependencies]
 pgrx-tests = "=0.16.1"

wrappers/dockerfiles/s3/iceberg_seed.py

@@ -324,9 +324,66 @@ def create_asks_table(catalog, namespace):
     print(data)
 
 
+def create_schema_evolution_table(catalog, namespace):
+    """Creates a table and evolves its schema to test schema evolution support.
+
+    Step 1: Create table with initial schema (id, name).
+    Step 2: Insert rows using the original schema.
+    Step 3: Add a new nullable column 'score' via update_schema().
+    Step 4: Add another new nullable column 'tag' via update_schema().
+    Step 5: Insert rows that include the new columns.
+    Rows inserted before the schema update should return NULL for 'score' and 'tag'.
+    """
+    tblname = f"{namespace}.schema_evolution"
+    schema = Schema(
+        NestedField(field_id=1, name="id", field_type=LongType(), required=True),
+        NestedField(field_id=2, name="name", field_type=StringType(), required=False),
+        identifier_field_ids=[1],
+    )
+
+    if catalog.table_exists(tblname):
+        catalog.purge_table(tblname)
+    tbl = catalog.create_table(identifier=tblname, schema=schema)
+
+    # Insert initial rows (no 'score' or 'tag' column yet)
+    df_v1 = pa.Table.from_pylist(
+        [
+            {"id": 1, "name": "alice"},
+            {"id": 2, "name": "bob"},
+        ],
+        schema=tbl.schema().as_arrow(),
+    )
+    tbl.overwrite(df_v1)
+
+    # Evolve schema: add 'score' (integer) column
+    with tbl.update_schema() as update:
+        update.add_column("score", IntegerType())
+
+    # Evolve schema again: add 'tag' (string) column
+    with tbl.update_schema() as update:
+        update.add_column("tag", StringType())
+
+    # Refresh table handle so it picks up the new schema
+    tbl = catalog.load_table(tblname)
+
+    # Insert new rows that use the evolved schema
+    df_v2 = pa.Table.from_pylist(
+        [
+            {"id": 3, "name": "carol", "score": 42, "tag": "gold"},
+            {"id": 4, "name": "dave",  "score": 99, "tag": "silver"},
+        ],
+        schema=tbl.schema().as_arrow(),
+    )
+    tbl.append(df_v2)
+
+    data = tbl.scan().to_arrow()
+    print(data)
+
+
 catalog.create_namespace_if_not_exists(namespace)
 ns = catalog.list_namespaces()
 tables = catalog.list_tables(namespace)
 
 create_bids_table(catalog, namespace)
 create_asks_table(catalog, namespace)
+create_schema_evolution_table(catalog, namespace)

wrappers/src/fdw/duckdb_fdw/mapper.rs

@@ -1,5 +1,5 @@
-use arrow_array::{Array, RecordBatch, array::ArrayRef};
-use arrow_json::ArrayWriter;
+use arrow_array_compat::{Array, RecordBatch, array::ArrayRef};
+use arrow_json_compat::ArrayWriter;
 use duckdb::{
     self,
     types::{EnumType, ListType, ValueRef},

wrappers/src/fdw/duckdb_fdw/mod.rs

@@ -28,7 +28,7 @@ enum DuckdbFdwError {
     NumericError(#[from] pgrx::datum::numeric_support::error::Error),
 
     #[error("arrow error: {0}")]
-    ArrowError(#[from] arrow_schema::ArrowError),
+    ArrowError(#[from] arrow_schema_compat::ArrowError),
 
     #[error("uuid error: {0}")]
     UuidConversionError(#[from] uuid::Error),

wrappers/src/fdw/iceberg_fdw/README.md

@@ -10,9 +10,9 @@ This is a foreign data wrapper for [Apache Iceberg](https://iceberg.apache.org/)
 
 | Version | Date       | Notes                                                                  |
 | ------- | ---------- | ---------------------------------------------------------------------- |
+| 0.1.5   | 2026-03-24 | Add schema evolution support                                           |
 | 0.1.4   | 2025-11-21 | Add create_table_if_not_exists option and improve insertion performance |
 | 0.1.3   | 2025-09-20 | Add data insertion support                                             |
 | 0.1.2   | 2025-07-30 | Large data set query performance improvement                           |
 | 0.1.1   | 2025-05-15 | Refactor server options passdown                                       |
 | 0.1.0   | 2025-05-07 | Initial version                                                        |
-

wrappers/src/fdw/iceberg_fdw/iceberg_fdw.rs

@@ -1,19 +1,23 @@
 use arrow_array::{Array, RecordBatch, array::ArrayRef, builder::ArrayBuilder};
 use futures::StreamExt;
 use iceberg::{
-    Catalog, NamespaceIdent, TableCreation, TableIdent,
+    Catalog, CatalogBuilder, NamespaceIdent, TableCreation, TableIdent,
+    arrow::schema_to_arrow_schema,
     expr::Predicate,
     scan::ArrowRecordBatchStream,
-    spec::{DataFileFormat, NestedFieldRef, PrimitiveType, Type},
+    spec::{DataFileFormat, NestedFieldRef, PartitionKey, PrimitiveType, Type},
     table::Table,
     transaction::{ApplyTransactionAction, Transaction},
     writer::{
-        IcebergWriter, IcebergWriterBuilder, base_writer::data_file_writer::DataFileWriterBuilder,
-        file_writer::ParquetWriterBuilder,
+        IcebergWriter, IcebergWriterBuilder,
+        base_writer::data_file_writer::DataFileWriterBuilder,
+        file_writer::{ParquetWriterBuilder, rolling_writer::RollingFileWriterBuilder},
     },
 };
-use iceberg_catalog_rest::{RestCatalog, RestCatalogConfig};
-use iceberg_catalog_s3tables::{S3TablesCatalog, S3TablesCatalogConfig};
+use iceberg_catalog_rest::{
+    REST_CATALOG_PROP_URI, REST_CATALOG_PROP_WAREHOUSE, RestCatalogBuilder,
+};
+use iceberg_catalog_s3tables::S3TablesCatalogBuilder;
 use parquet::file::properties::WriterProperties;
 use pgrx::pg_sys;
 use std::collections::{HashMap, HashSet, VecDeque};
@@ -32,7 +36,7 @@ use super::{
 use crate::stats;
 
 #[wrappers_fdw(
-    version = "0.1.4",
+    version = "0.1.5",
     author = "Supabase",
     website = "https://github.com/supabase/wrappers/tree/main/wrappers/src/fdw/iceberg_fdw",
     error_type = "IcebergFdwError"
@@ -200,7 +204,7 @@ impl IcebergFdw {
         if let Some(table) = &self.table {
             let metadata = table.metadata();
             let iceberg_schema = metadata.current_schema();
-            let schema: arrow_schema::Schema = (iceberg_schema.as_ref()).try_into()?;
+            let schema = schema_to_arrow_schema(iceberg_schema.as_ref())?;
 
             for partition_rows in partitions.iter() {
                 // create builder for each column
@@ -261,19 +265,26 @@ impl IcebergFdw {
                 // get partition value from location generator
                 let partition_value = location_generator.partition_value();
 
-                let parquet_writer_builder = ParquetWriterBuilder::new(
-                    WriterProperties::default(),
-                    schema.clone(),
+                let parquet_writer_builder =
+                    ParquetWriterBuilder::new(WriterProperties::default(), schema.clone());
+                let rolling_writer_builder = RollingFileWriterBuilder::new_with_default_file_size(
+                    parquet_writer_builder,
                     table.file_io().clone(),
                     location_generator,
                     file_name_generator,
                 );
-                let data_file_writer_builder = DataFileWriterBuilder::new(
-                    parquet_writer_builder,
-                    partition_value,
-                    metadata.default_partition_spec().spec_id(),
-                );
-                let mut data_file_writer = self.rt.block_on(data_file_writer_builder.build())?;
+                let data_file_writer_builder = DataFileWriterBuilder::new(rolling_writer_builder);
+                // convert Option<Struct> partition value to Option<PartitionKey>
+                let partition_key = partition_value.map(|pv| {
+                    PartitionKey::new(
+                        metadata.default_partition_spec().as_ref().clone(),
+                        metadata.current_schema().clone(),
+                        pv,
+                    )
+                });
+                let mut data_file_writer = self
+                    .rt
+                    .block_on(data_file_writer_builder.build(partition_key))?;
 
                 // write the record batch to Iceberg and close the writer and get
                 // the data file
@@ -432,21 +443,20 @@ impl ForeignDataWrapper<IcebergFdwError> for IcebergFdw {
         //   1. S3 tables
         //   2. REST catalog with S3 (or compatible) as backend storage
         let catalog: Box<dyn Catalog> =
-            if let Some(aws_s3table_arn) = props.get("aws_s3table_bucket_arn") {
-                let catalog_config = S3TablesCatalogConfig::builder()
-                    .table_bucket_arn(aws_s3table_arn.into())
-                    .properties(props)
-                    .build();
-                Box::new(rt.block_on(S3TablesCatalog::new(catalog_config))?)
+            if let Some(aws_s3table_arn) = props.get("aws_s3table_bucket_arn").cloned() {
+                Box::new(
+                    rt.block_on(
+                        S3TablesCatalogBuilder::default()
+                            .with_table_bucket_arn(aws_s3table_arn)
+                            .load("s3tables", props),
+                    )?,
+                )
             } else {
-                let catalog_uri = require_option("catalog_uri", &props)?;
-                let warehouse = require_option_or("warehouse", &props, "warehouse");
-                let catalog_config = RestCatalogConfig::builder()
-                    .warehouse(warehouse.into())
-                    .uri(catalog_uri.into())
-                    .props(props)
-                    .build();
-                Box::new(RestCatalog::new(catalog_config))
+                let catalog_uri = require_option("catalog_uri", &props)?.to_string();
+                let warehouse = require_option_or("warehouse", &props, "warehouse").to_string();
+                props.insert(REST_CATALOG_PROP_URI.to_string(), catalog_uri);
+                props.insert(REST_CATALOG_PROP_WAREHOUSE.to_string(), warehouse);
+                Box::new(rt.block_on(RestCatalogBuilder::default().load("rest", props))?)
             };
 
         stats::inc_stats(Self::FDW_NAME, stats::Metric::CreateTimes, 1);
@@ -482,7 +492,16 @@ impl ForeignDataWrapper<IcebergFdwError> for IcebergFdw {
         let tbl_ident = TableIdent::from_strs(require_option("table", options)?.split("."))?;
         let table = self.rt.block_on(self.catalog.load_table(&tbl_ident))?;
 
-        let schema = table.metadata().current_schema();
+        // resolve schema by id if specified (for schema evolution support), else use current
+        let schema = if let Some(id_str) = options.get("schema_id") {
+            let schema_id = id_str.parse::<i32>()?;
+            table
+                .metadata()
+                .schema_by_id(schema_id)
+                .ok_or_else(|| IcebergFdwError::SchemaNotFound(schema_id))?
+        } else {
+            table.metadata().current_schema()
+        };
         for tgt_col in columns {
             let col_name = &tgt_col.name;
             let field = schema
@@ -491,7 +510,7 @@ impl ForeignDataWrapper<IcebergFdwError> for IcebergFdw {
             self.src_fields.push(field.clone());
         }
 
-        self.predicate = try_pushdown(&table, quals)?;
+        self.predicate = try_pushdown(schema, quals)?;
         self.table = table.into();
         self.tgt_cols = columns.to_vec();
 
@@ -670,11 +689,12 @@ impl ForeignDataWrapper<IcebergFdwError> for IcebergFdw {
                     r#"create foreign table if not exists {} (
                         {}
                     )
-                    server {} options (table '{}'{})"#,
+                    server {} options (table '{}', schema_id '{}'{})"#,
                     tbl.identifier().name,
                     fields.join(","),
                     stmt.server_name,
                     tbl.identifier(),
+                    schema.schema_id(),
                     rowid_column.unwrap_or_default(),
                 ));
             }

wrappers/src/fdw/iceberg_fdw/mod.rs

@@ -27,6 +27,9 @@ enum IcebergFdwError {
     #[error("cannot import column '{0}' data type '{1}'")]
     ImportColumnError(String, String),
 
+    #[error("schema with id {0} not found")]
+    SchemaNotFound(i32),
+
     #[error("vault error: '{0}'")]
     VaultError(String),
 

wrappers/src/fdw/iceberg_fdw/pushdown.rs

@@ -2,8 +2,7 @@ use super::{IcebergFdwError, IcebergFdwResult};
 use chrono::NaiveDate;
 use iceberg::{
     expr::{Predicate, Reference},
-    spec::{Datum, PrimitiveType, Type},
-    table::Table,
+    spec::{Datum, PrimitiveType, Schema, Type},
 };
 use pgrx::varlena;
 use rust_decimal::Decimal;
@@ -98,8 +97,7 @@ fn cell_to_iceberg_datum(cell: &Cell, tgt_type: &Type) -> IcebergFdwResult<Optio
 
 // try to translate quals to predicates and push them down to Iceberg,
 // return None if pushdown is not possible
-pub(super) fn try_pushdown(table: &Table, quals: &[Qual]) -> IcebergFdwResult<Option<Predicate>> {
-    let schema = table.metadata().current_schema();
+pub(super) fn try_pushdown(schema: &Schema, quals: &[Qual]) -> IcebergFdwResult<Option<Predicate>> {
     let mut preds: Vec<Predicate> = Vec::new();
 
     for qual in quals {