Fokko commented on code in PR #4920:
URL: https://github.com/apache/iceberg/pull/4920#discussion_r895419347


##########
python/src/iceberg/utils/singleton.py:
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@@ -0,0 +1,30 @@
+#  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.
+from abc import ABCMeta
+from typing import Dict
+
+
+class Singleton(type, metaclass=ABCMeta):

Review Comment:
   Hey Ryan, since you've merged https://github.com/apache/iceberg/pull/5008 we 
can re-use that singleton. I'll update the code.
   
   I've also added a docstring for the singleton module to elaborate why we 
need it:
   ```
   This is a singleton metaclass that can be used to cache and re-use existing 
objects
   
   In the Icebeg codebase we have a lot of objects that are stateless (for 
example Types such as StringType,
   BooleanType etc). FixedTypes have arguments (eg. Fixed[22]) that we also 
make part of the key when caching
   the newly created object.
   
   The Singleton uses a metaclass which essentially defines a new type. When 
the Type gets created, it will first
   evaluate the `__call__` method with all the arguments. If we already 
initialized a class earlier, we'll just
   return it.
   
   More information on metaclasses: 
https://docs.python.org/3/reference/datamodel.html#metaclasses
   ```



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