# 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. # pylint:disable=redefined-outer-name from typing import List, Optional, Union import pyarrow as pa from pyiceberg.catalog import Catalog from pyiceberg.exceptions import NoSuchTableError from pyiceberg.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionSpec from pyiceberg.schema import Schema from pyiceberg.table import Table from pyiceberg.typedef import EMPTY_DICT, Properties from pyiceberg.types import ( BinaryType, BooleanType, DateType, DoubleType, FixedType, FloatType, IntegerType, LongType, NestedField, StringType, TimestampType, TimestamptzType, ) TABLE_SCHEMA = Schema( NestedField(field_id=1, name="bool", field_type=BooleanType(), required=False), NestedField(field_id=2, name="string", field_type=StringType(), required=False), NestedField(field_id=3, name="string_long", field_type=StringType(), required=False), NestedField(field_id=4, name="int", field_type=IntegerType(), required=False), NestedField(field_id=5, name="long", field_type=LongType(), required=False), NestedField(field_id=6, name="float", field_type=FloatType(), required=False), NestedField(field_id=7, name="double", field_type=DoubleType(), required=False), # NestedField(field_id=8, name="time", field_type=TimeType(), required=False), # Spark does not support time fields NestedField(field_id=8, name="timestamp", field_type=TimestampType(), required=False), NestedField(field_id=9, name="timestamptz", field_type=TimestamptzType(), required=False), NestedField(field_id=10, name="date", field_type=DateType(), required=False), # NestedField(field_id=11, name="time", field_type=TimeType(), required=False), # NestedField(field_id=12, name="uuid", field_type=UuidType(), required=False), NestedField(field_id=11, name="binary", field_type=BinaryType(), required=False), NestedField(field_id=12, name="fixed", field_type=FixedType(16), required=False), ) def _create_table( session_catalog: Catalog, identifier: str, properties: Properties = EMPTY_DICT, data: Optional[List[pa.Table]] = None, partition_spec: PartitionSpec = UNPARTITIONED_PARTITION_SPEC, schema: Union[Schema, "pa.Schema"] = TABLE_SCHEMA, ) -> Table: try: session_catalog.drop_table(identifier=identifier) except NoSuchTableError: pass tbl = session_catalog.create_table(identifier=identifier, schema=schema, properties=properties, partition_spec=partition_spec) if data is not None: for d in data: tbl.append(d) return tbl