Antalya 25.3: Backport of #82114 - Fix support for nested data types with decimal subfields in glue catalog

src/Databases/DataLake/GlueCatalog.cpp

@@ -64,20 +64,28 @@ String trim(const String & str)
 std::vector<String> splitTypeArguments(const String & type_str)
 {
     std::vector<String> args;
-    int depth = 0;
+    int angle_depth = 0;
+    int paren_depth = 0;
     size_t start = 0;
-    for (size_t i = 0; i < type_str.size(); i++)
+
+    for (size_t i = 0; i < type_str.size(); ++i)
     {
-        if (type_str[i] == '<')
-            depth++;
-        else if (type_str[i] == '>')
-            depth--;
-        else if (type_str[i] == ',' && depth == 0)
+        char c = type_str[i];
+        if (c == '<')
+            angle_depth++;
+        else if (c == '>')
+            angle_depth--;
+        else if (c == '(')
+            paren_depth++;
+        else if (c == ')')
+            paren_depth--;
+        else if (c == ',' && angle_depth == 0 && paren_depth == 0)
         {
             args.push_back(trim(type_str.substr(start, i - start)));
             start = i + 1;
         }
     }
+
     args.push_back(trim(type_str.substr(start)));
     return args;
 }

tests/integration/test_database_glue/test.py

@@ -12,19 +12,23 @@
 import pytest
 import requests
 import urllib3
+from datetime import datetime, timedelta
 from minio import Minio
 from pyiceberg.catalog import load_catalog
 from pyiceberg.partitioning import PartitionField, PartitionSpec
 from pyiceberg.schema import Schema
 from pyiceberg.table.sorting import SortField, SortOrder
 from pyiceberg.transforms import DayTransform, IdentityTransform
+from helpers.config_cluster import minio_access_key, minio_secret_key
+import decimal
 from pyiceberg.types import (
     DoubleType,
-    FloatType,
     NestedField,
     StringType,
     StructType,
     TimestampType,
+    MapType,
+    DecimalType,
 )
 
 from helpers.cluster import ClickHouseCluster, ClickHouseInstance, is_arm
@@ -39,6 +43,11 @@
 BASE_URL = "http://glue:3000"
 BASE_URL_LOCAL_HOST = "http://localhost:3000"
 
+def generate_decimal(precision=9, scale=2):
+    max_value = 10**(precision - scale) - 1
+    value = random.uniform(0, max_value)
+    return round(decimal.Decimal(value), scale)
+
 DEFAULT_SCHEMA = Schema(
     NestedField(
         field_id=1, name="datetime", field_type=TimestampType(), required=False
@@ -59,9 +68,21 @@
         ),
         required=False,
     ),
+    NestedField(
+        field_id=6,
+        name="map_string_decimal",
+        field_type=MapType(
+            key_type=StringType(),
+            value_type=DecimalType(9, 2),
+            key_id=7,
+            value_id=8,
+            value_required=False,
+        ),
+        required=False,
+    ),
 )
 
-DEFAULT_CREATE_TABLE = "CREATE TABLE {}.`{}.{}`\\n(\\n    `datetime` Nullable(DateTime64(6)),\\n    `symbol` Nullable(String),\\n    `bid` Nullable(Float64),\\n    `ask` Nullable(Float64),\\n    `details` Tuple(created_by Nullable(String))\\n)\\nENGINE = Iceberg(\\'http://minio:9000/warehouse/data/\\', \\'minio\\', \\'[HIDDEN]\\')\n"
+DEFAULT_CREATE_TABLE = "CREATE TABLE {}.`{}.{}`\\n(\\n    `datetime` Nullable(DateTime64(6)),\\n    `symbol` Nullable(String),\\n    `bid` Nullable(Float64),\\n    `ask` Nullable(Float64),\\n    `details` Tuple(created_by Nullable(String)),\\n    `map_string_decimal` Map(String, Nullable(Decimal(9, 2)))\\n)\\nENGINE = Iceberg(\\'http://minio:9000/warehouse-glue/data/\\', \\'minio\\', \\'[HIDDEN]\\')\n"
 
 DEFAULT_PARTITION_SPEC = PartitionSpec(
     PartitionField(
@@ -107,15 +128,59 @@ def create_table(
     )
 
 
-def generate_record():
-    return {
-        "datetime": datetime.now(),
-        "symbol": str("kek"),
-        "bid": round(random.uniform(100, 200), 2),
-        "ask": round(random.uniform(200, 300), 2),
-        "details": {"created_by": "Alice Smith"},
-    }
 
+def generate_arrow_data(num_rows=5):
+    datetimes = []
+    symbols = []
+    bids = []
+    asks = []
+    details_created_by = []
+    map_keys = []
+    map_values = []
+
+    offsets = [0]
+
+    for _ in range(num_rows):
+        datetimes.append(datetime.utcnow() - timedelta(minutes=random.randint(0, 60)))
+        symbols.append(random.choice(["AAPL", "GOOG", "MSFT"]))
+        bids.append(random.uniform(100, 150))
+        asks.append(random.uniform(150, 200))
+        details_created_by.append(random.choice(["alice", "bob", "carol"]))
+
+        # map<string, decimal(9,2)>
+        keys = []
+        values = []
+        for i in range(random.randint(1, 3)):
+            keys.append(f"key{i}")
+            values.append(generate_decimal())
+        map_keys.extend(keys)
+        map_values.extend(values)
+        offsets.append(offsets[-1] + len(keys))
+
+    # Struct for 'details'
+    struct_array = pa.StructArray.from_arrays(
+        [pa.array(details_created_by, type=pa.string())],
+        names=["created_by"]
+    )
+
+    # Map array
+    map_array = pa.MapArray.from_arrays(
+        offsets=pa.array(offsets, type=pa.int32()),
+        keys=pa.array(map_keys, type=pa.string()),
+        items=pa.array(map_values, type=pa.decimal128(9, 2))
+    )
+
+    # Final table
+    table = pa.table({
+        "datetime": pa.array(datetimes, type=pa.timestamp("us")),
+        "symbol": pa.array(symbols, type=pa.string()),
+        "bid": pa.array(bids, type=pa.float64()),
+        "ask": pa.array(asks, type=pa.float64()),
+        "details": struct_array,
+        "map_string_decimal": map_array,
+    })
+
+    return table
 
 def create_clickhouse_glue_database(
     started_cluster, node, name, additional_settings={}
@@ -259,8 +324,7 @@ def test_select(started_cluster):
         table = create_table(catalog, namespace, table_name)
 
         num_rows = 10
-        data = [generate_record() for _ in range(num_rows)]
-        df = pa.Table.from_pylist(data)
+        df = generate_arrow_data(num_rows)
         table.append(df)
 
         create_clickhouse_glue_database(started_cluster, node, CATALOG_NAME)