mxm commented on code in PR #12424:
URL: https://github.com/apache/iceberg/pull/12424#discussion_r1980978055


##########
flink/v1.20/flink/src/main/java/org/apache/iceberg/flink/sink/dynamic/PartitionSpecAdjustment.java:
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@@ -0,0 +1,45 @@
+/*
+ * 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.iceberg.flink.sink.dynamic;
+
+import org.apache.iceberg.PartitionField;
+import org.apache.iceberg.PartitionSpec;
+import org.apache.iceberg.Schema;
+import org.apache.iceberg.UnboundPartitionSpec;
+
+public class PartitionSpecAdjustment {
+
+  private PartitionSpecAdjustment() {}
+
+  public static PartitionSpec adjustPartitionSpecToTableSchema(
+      Schema tableSchema, PartitionSpec userSpec) {
+    if (userSpec.isUnpartitioned()) {
+      return userSpec;
+    }
+    UnboundPartitionSpec.Builder builder =

Review Comment:
   The input spec is what the user provides in DynamicRecord. The input schema 
is built by the user, e.g. from an Avro schema, and can be different form the 
actual Iceberg schema, e.g. the ids used don't necessarily have to match with 
the ids in the Iceberg schema, new fields added, etc.. The same goes for the 
PartitionSpec, it is bound to the input schema and references source ids which 
don't necessarily match with the Iceberg schema.
   
   Given these constraints, to still be able to meaningfully evolve the schema, 
the logic around schema / spec evolution uses field names, not field ids. This 
is a decision we took after running PoCs with multiple customers. In the 
future, we might add a "strict" mode, which uses field ids, but so far 
customers consistently wanted name-based schema / spec evolution.
   
   The goal is to translate the input schema / spec such that they **either** 
match with one of the existing schema / spec ([check for 
schema](https://github.com/apache/iceberg/blob/d7e65c833e19169388d4e9173d3cb4f1971b6519/flink/v1.20/flink/src/main/java/org/apache/iceberg/flink/sink/dynamic/TableDataCache.java#L115)
 / [check for 
spec](https://github.com/apache/iceberg/blob/d7e65c833e19169388d4e9173d3cb4f1971b6519/flink/v1.20/flink/src/main/java/org/apache/iceberg/flink/sink/dynamic/TableDataCache.java#L149)),
 **or** update the table schema / spec with the minimal amount of changes 
required. 
   
   If we didn't adapt the input schema / spec to table schema or the other 
existing schemas, we would go through a schema / spec change for every record. 
Not good for table metadata or catalog access / performance. We would also 
"lose" fields as soon as their ids changed.
   
   ---
   
   >if you have a unit test to demonstrate the scenario, please point it here.
   
   Here is an example where we test compatibility of  spec1 (the input spec) to 
spec2 (table spec). No spec update will be performance in this case: 
https://github.com/apache/iceberg/blob/d7e65c833e19169388d4e9173d3cb4f1971b6519/flink/v1.20/flink/src/test/java/org/apache/iceberg/flink/sink/dynamic/TestPartitionSpecEvolution.java#L74
   
   Here is the same test, but we change the spec because its buckets changed: 
https://github.com/apache/iceberg/blob/d7e65c833e19169388d4e9173d3cb4f1971b6519/flink/v1.20/flink/src/test/java/org/apache/iceberg/flink/sink/dynamic/TestPartitionSpecEvolution.java#L96



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