danielcweeks commented on a change in pull request #1216:
URL: https://github.com/apache/iceberg/pull/1216#discussion_r475780993
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File path: python/iceberg/api/types/type.py
##########
@@ -22,22 +22,22 @@
@unique
class TypeID(Enum):
- BOOLEAN = {"java_class": "Boolean.class", "python_class": bool, "id": 1}
- INTEGER = {"java_class": "Integer.class", "python_class": int, "id": 2}
- LONG = {"java_class": "Long.class", "python_class": int, "id": 3}
- FLOAT = {"java_class": "Float.class", "python_class": float, "id": 4}
- DOUBLE = {"java_class": "Double.class", "python_class": float, "id": 5}
- DATE = {"java_class": "Integer.class", "python_class": int, "id": 6}
- TIME = {"java_class": "Long.class", "python_class": int, "id": 7}
- TIMESTAMP = {"java_class": "Long.class", "python_class": int, "id": 8}
- STRING = {"java_class": "CharSequence.class", "python_class": str, "id": 9}
- UUID = {"java_class": "java.util.UUID.class", "python_class": uuid.UUID,
"id": 10}
- FIXED = {"java_class": "ByteBuffer.class", "python_class": bytes, "id": 11}
- BINARY = {"java_class": "ByteBuffer.class", "python_class": bytearray,
"id": 12}
- DECIMAL = {"java_class": "BigDecimal.class", "python_class": Decimal,
"id": 13}
- STRUCT = {"java_class": "Void.class", "python_class": None, "id": 14}
- LIST = {"java_class": "Void.class", "python_class": None, "id": 15}
- MAP = {"java_class": "Void.class", "python_class": None, "id": 16}
+ BOOLEAN = {"java_class": "Boolean.class", "python_class": bool, "id": 1,
"hive_name": 'boolean'}
+ INTEGER = {"java_class": "Integer.class", "python_class": int, "id": 2,
"hive_name": 'int'}
+ LONG = {"java_class": "Long.class", "python_class": int, "id": 3,
"hive_name": 'bigint'}
+ FLOAT = {"java_class": "Float.class", "python_class": float, "id": 4,
"hive_name": 'float'}
+ DOUBLE = {"java_class": "Double.class", "python_class": float, "id": 5,
"hive_name": 'double'}
+ DATE = {"java_class": "Integer.class", "python_class": int, "id": 6,
"hive_name": 'date'}
+ TIME = {"java_class": "Long.class", "python_class": int, "id": 7,
"hive_name": 'string'}
+ TIMESTAMP = {"java_class": "Long.class", "python_class": int, "id": 8,
"hive_name": 'timestamp'}
+ STRING = {"java_class": "CharSequence.class", "python_class": str, "id":
9, "hive_name": 'string'}
+ UUID = {"java_class": "java.util.UUID.class", "python_class": uuid.UUID,
"id": 10, "hive_name": 'string'}
+ FIXED = {"java_class": "ByteBuffer.class", "python_class": bytes, "id":
11, "hive_name": 'binary'}
+ BINARY = {"java_class": "ByteBuffer.class", "python_class": bytearray,
"id": 12, "hive_name": "binary"}
+ DECIMAL = {"java_class": "BigDecimal.class", "python_class": Decimal,
"id": 13, "hive_name": None}
+ STRUCT = {"java_class": "Void.class", "python_class": None, "id": 14,
"hive_name": None}
+ LIST = {"java_class": "Void.class", "python_class": None, "id": 15,
"hive_name": None}
+ MAP = {"java_class": "Void.class", "python_class": None, "id": 16,
"hive_name": None}
Review comment:
I don't really like the idea of exposing hive types through Iceberg
types natively. Seems like we should externalize this and have a separate
hive<->iceberg type mapping utility class/function.
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