YannByron commented on code in PR #5201:
URL: https://github.com/apache/hudi/pull/5201#discussion_r849280513


##########
hudi-common/src/main/java/org/apache/hudi/common/table/TableSchemaResolver.java:
##########
@@ -159,23 +167,67 @@ public Schema getTableAvroSchema() throws Exception {
    * @throws Exception
    */
   public Schema getTableAvroSchema(boolean includeMetadataFields) throws 
Exception {
+    Schema schema;
     Option<Schema> schemaFromCommitMetadata = 
getTableSchemaFromCommitMetadata(includeMetadataFields);
     if (schemaFromCommitMetadata.isPresent()) {
-      return schemaFromCommitMetadata.get();
-    }
-    Option<Schema> schemaFromTableConfig = 
metaClient.getTableConfig().getTableCreateSchema();
-    if (schemaFromTableConfig.isPresent()) {
-      if (includeMetadataFields) {
-        return HoodieAvroUtils.addMetadataFields(schemaFromTableConfig.get(), 
hasOperationField);
+      schema = schemaFromCommitMetadata.get();
+    } else {
+      Option<Schema> schemaFromTableConfig = 
metaClient.getTableConfig().getTableCreateSchema();
+      if (schemaFromTableConfig.isPresent()) {
+        if (includeMetadataFields) {
+          schema = 
HoodieAvroUtils.addMetadataFields(schemaFromTableConfig.get(), 
hasOperationField);
+        } else {
+          schema = schemaFromTableConfig.get();
+        }
       } else {
-        return schemaFromTableConfig.get();
+        if (includeMetadataFields) {
+          schema = getTableAvroSchemaFromDataFile();
+        } else {
+          schema = 
HoodieAvroUtils.removeMetadataFields(getTableAvroSchemaFromDataFile());
+        }
       }
     }
-    if (includeMetadataFields) {
-      return getTableAvroSchemaFromDataFile();
-    } else {
-      return 
HoodieAvroUtils.removeMetadataFields(getTableAvroSchemaFromDataFile());
+
+    Option<String[]> partitionFieldsOpt = 
metaClient.getTableConfig().getPartitionFields();
+    if (metaClient.getTableConfig().isDropPartitionColumns()) {
+      schema = recreateSchemaWhenDropPartitionColumns(partitionFieldsOpt, 
schema);
+    }
+    return schema;
+  }
+
+  public static Schema recreateSchemaWhenDropPartitionColumns(Option<String[]> 
partitionFieldsOpt, Schema originSchema) {
+    // when hoodie.datasource.write.drop.partition.columns is true, partition 
columns can't be persisted in data files.
+    // And there are no partition schema if the schema is parsed from data 
files.
+    // Here we create partition Fields for this case, and use StringType as 
the data type.
+    Schema schema = originSchema;
+    if (partitionFieldsOpt.isPresent() && partitionFieldsOpt.get().length != 
0) {
+      List<String> partitionFields = Arrays.asList(partitionFieldsOpt.get());
+
+      final Schema schema0 = originSchema;
+      boolean hasPartitionColNotInSchema = partitionFields.stream().anyMatch(
+          pt -> !HoodieAvroUtils.containsFieldInSchema(schema0, pt)
+      );
+      boolean hasPartitionColInSchema = partitionFields.stream().anyMatch(
+          pt -> HoodieAvroUtils.containsFieldInSchema(schema0, pt)
+      );
+      if (hasPartitionColNotInSchema && hasPartitionColInSchema) {
+        throw new HoodieIncompatibleSchemaException(
+            "Not support: Partial partition fields are still in the schema "
+                + "when enable 
hoodie.datasource.write.drop.partition.columns");
+      }
+
+      if (hasPartitionColNotInSchema) {
+        // when hasPartitionColNotInSchema is true and hasPartitionColInSchema 
is false, all partition columns
+        // are not in originSchema. So we create and add them.
+        List<Field> newFields = new ArrayList<>();
+        for (String partitionField: partitionFields) {
+          newFields.add(new Schema.Field(
+              partitionField, Schema.create(Schema.Type.STRING), "", 
JsonProperties.NULL_VALUE));

Review Comment:
   in some cases, the schema is out-of-date in hoodie.properties, even there is 
no schema stored in hoodie.properties.
   I prefer to have a unified place to manage the latest schema, rather than 
the current logical that get schema from metadata, hoodie.properties, datafile 
in order.
   Like deltalake and iceberg do.



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