kevinjqliu commented on code in PR #825:
URL: https://github.com/apache/iceberg-rust/pull/825#discussion_r1893092640


##########
crates/integration_tests/testdata/pyiceberg/load_types_table.py:
##########
@@ -0,0 +1,79 @@
+# 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 datafusion import SessionContext
+from pyiceberg.catalog import load_catalog
+import pyarrow.parquet as pq
+
+# Generate a table with various types in memory and dump to a Parquet file
+ctx = SessionContext()

Review Comment:
   Generally i like the idea of using `pyiceberg` for testing, maybe also  
alongside spark. This can help facilitate cross platform interoperability, 
   but im not sure when we would use one versus the other.
   



##########
crates/integration_tests/testdata/pyiceberg/Dockerfile:
##########
@@ -0,0 +1,22 @@
+# 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 python:3.9-bullseye
+
+RUN pip install pyiceberg==0.8 pyarrow==18.0 datafusion==43.1.0

Review Comment:
   nit: for `pyarrow`, use `pyiceberg[pyarrow]` instead. 



##########
crates/integration_tests/testdata/pyiceberg/load_types_table.py:
##########


Review Comment:
   nit: wdyt of renaming this `provision.py` mirroring what we do for the spark 
setup 
   
https://github.com/apache/iceberg-rust/blob/main/crates/integration_tests/testdata/spark/provision.py



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