the-other-tim-brown commented on code in PR #742:
URL: https://github.com/apache/incubator-xtable/pull/742#discussion_r2333615594


##########
xtable-core/src/main/java/org/apache/xtable/paimon/PaimonSchemaExtractor.java:
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@@ -0,0 +1,197 @@
+/*
+ * 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.
+ */
+ 
+package org.apache.xtable.paimon;
+
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.stream.Collectors;
+
+import lombok.AccessLevel;
+import lombok.NoArgsConstructor;
+
+import org.apache.paimon.schema.TableSchema;
+import org.apache.paimon.types.*;
+
+import org.apache.xtable.exception.NotSupportedException;
+import org.apache.xtable.model.schema.InternalField;
+import org.apache.xtable.model.schema.InternalSchema;
+import org.apache.xtable.model.schema.InternalType;
+import org.apache.xtable.schema.SchemaUtils;
+
+/** Converts Paimon RowType to XTable InternalSchema. */
+@NoArgsConstructor(access = AccessLevel.PRIVATE)
+public class PaimonSchemaExtractor {

Review Comment:
   Does Paimon attach the field index to the parquet data? The field ordering 
should match that. We have an option to pass in the index directly to the 
internal fields as well. 
   
   If not, you will not be able to read the data in some vendors like BigQuery 
and Snowflake.



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