sunchao commented on code in PR #35965:
URL: https://github.com/apache/spark/pull/35965#discussion_r878596697


##########
sql/core/src/test/java/test/org/apache/spark/sql/connector/JavaOrderAndPartitionAwareDataSource.java:
##########
@@ -0,0 +1,144 @@
+/*
+ * 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 test.org.apache.spark.sql.connector;
+
+import java.util.Arrays;
+
+import org.apache.spark.sql.connector.catalog.Table;
+import org.apache.spark.sql.connector.expressions.*;
+import org.apache.spark.sql.connector.read.*;
+import org.apache.spark.sql.connector.read.partitioning.KeyGroupedPartitioning;
+import org.apache.spark.sql.connector.read.partitioning.Partitioning;
+import org.apache.spark.sql.connector.read.partitioning.UnknownPartitioning;
+import org.apache.spark.sql.util.CaseInsensitiveStringMap;
+
+public class JavaOrderAndPartitionAwareDataSource extends 
JavaPartitionAwareDataSource {
+
+  static class MyScanBuilder extends JavaPartitionAwareDataSource.MyScanBuilder
+          implements SupportsReportOrdering {
+
+    private final Partitioning partitioning;
+    private final SortOrder[] ordering;
+
+    MyScanBuilder(String partitionKeys, String orderKeys) {
+      if (partitionKeys != null) {
+        String[] keys = partitionKeys.split(",");
+        Expression[] clustering = new Transform[keys.length];
+        for (int i = 0; i < keys.length; i++) {
+          clustering[i] = Expressions.identity(keys[i]);
+        }
+        this.partitioning = new KeyGroupedPartitioning(clustering, 2);
+      } else {
+        this.partitioning = new UnknownPartitioning(2);
+      }
+
+      if (orderKeys != null) {
+        String[] keys = orderKeys.split(",");
+        this.ordering = new SortOrder[keys.length];
+        for (int i = 0; i < keys.length; i++) {
+          this.ordering[i] = new MySortOrder(keys[i]);
+        }
+      } else {
+        this.ordering = new SortOrder[0];
+      }
+    }
+
+    @Override
+    public InputPartition[] planInputPartitions() {
+      InputPartition[] partitions = new InputPartition[2];
+      partitions[0] = new SpecificInputPartition(new int[]{1, 1, 3}, new 
int[]{4, 5, 5});
+      partitions[1] = new SpecificInputPartition(new int[]{2, 4, 4}, new 
int[]{6, 1, 2});
+      return partitions;
+    }
+
+    @Override
+    public Partitioning outputPartitioning() {
+      return this.partitioning;
+    }
+
+    @Override
+    public SortOrder[] outputOrdering() {
+      return this.ordering;
+    }
+  }
+
+  @Override
+  public Table getTable(CaseInsensitiveStringMap options) {
+    return new JavaSimpleBatchTable() {
+      @Override
+      public Transform[] partitioning() {
+        String partitionKeys = options.get("partitionKeys");
+        if (partitionKeys == null) {
+          return new Transform[0];
+        } else {
+          return (Transform[])Arrays.stream(partitionKeys.split(","))

Review Comment:
   nit: space before `Arrays`



##########
sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2Suite.scala:
##########
@@ -886,6 +972,66 @@ class PartitionAwareDataSource extends TestingV2Source {
   }
 }
 
+class OrderAndPartitionAwareDataSource extends PartitionAwareDataSource {
+
+  class MyScanBuilder(val partitionKeys: Option[Seq[String]],
+                      val orderKeys: Seq[String]) extends SimpleScanBuilder

Review Comment:
   nit: indent



##########
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2ScanExecBase.scala:
##########
@@ -138,6 +138,15 @@ trait DataSourceV2ScanExecBase extends LeafExecNode {
     }
   }
 
+  override def outputOrdering: Seq[SortOrder] = scan match {
+    case s: SupportsReportOrdering if this.logicalLink.isDefined &&

Review Comment:
   I'm not totally sure this is the correct approach. Could we follow the 
existing pattern and add an optimizer rule to populate this? we can re-use 
existing `V2ScanPartitioning` too (and change its name).



##########
sql/core/src/test/java/test/org/apache/spark/sql/connector/JavaOrderAndPartitionAwareDataSource.java:
##########
@@ -0,0 +1,144 @@
+/*
+ * 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 test.org.apache.spark.sql.connector;
+
+import java.util.Arrays;
+
+import org.apache.spark.sql.connector.catalog.Table;
+import org.apache.spark.sql.connector.expressions.*;
+import org.apache.spark.sql.connector.read.*;
+import org.apache.spark.sql.connector.read.partitioning.KeyGroupedPartitioning;
+import org.apache.spark.sql.connector.read.partitioning.Partitioning;
+import org.apache.spark.sql.connector.read.partitioning.UnknownPartitioning;
+import org.apache.spark.sql.util.CaseInsensitiveStringMap;
+
+public class JavaOrderAndPartitionAwareDataSource extends 
JavaPartitionAwareDataSource {
+
+  static class MyScanBuilder extends JavaPartitionAwareDataSource.MyScanBuilder
+          implements SupportsReportOrdering {
+
+    private final Partitioning partitioning;
+    private final SortOrder[] ordering;
+
+    MyScanBuilder(String partitionKeys, String orderKeys) {
+      if (partitionKeys != null) {
+        String[] keys = partitionKeys.split(",");
+        Expression[] clustering = new Transform[keys.length];
+        for (int i = 0; i < keys.length; i++) {
+          clustering[i] = Expressions.identity(keys[i]);
+        }
+        this.partitioning = new KeyGroupedPartitioning(clustering, 2);
+      } else {
+        this.partitioning = new UnknownPartitioning(2);
+      }
+
+      if (orderKeys != null) {
+        String[] keys = orderKeys.split(",");
+        this.ordering = new SortOrder[keys.length];
+        for (int i = 0; i < keys.length; i++) {
+          this.ordering[i] = new MySortOrder(keys[i]);
+        }
+      } else {
+        this.ordering = new SortOrder[0];
+      }
+    }
+
+    @Override
+    public InputPartition[] planInputPartitions() {
+      InputPartition[] partitions = new InputPartition[2];
+      partitions[0] = new SpecificInputPartition(new int[]{1, 1, 3}, new 
int[]{4, 5, 5});
+      partitions[1] = new SpecificInputPartition(new int[]{2, 4, 4}, new 
int[]{6, 1, 2});
+      return partitions;
+    }
+
+    @Override
+    public Partitioning outputPartitioning() {
+      return this.partitioning;
+    }
+
+    @Override
+    public SortOrder[] outputOrdering() {
+      return this.ordering;
+    }
+  }
+
+  @Override
+  public Table getTable(CaseInsensitiveStringMap options) {
+    return new JavaSimpleBatchTable() {
+      @Override
+      public Transform[] partitioning() {
+        String partitionKeys = options.get("partitionKeys");
+        if (partitionKeys == null) {
+          return new Transform[0];
+        } else {
+          return (Transform[])Arrays.stream(partitionKeys.split(","))
+            .map(Expressions::identity).toArray();
+        }
+      }
+
+      @Override
+      public ScanBuilder newScanBuilder(CaseInsensitiveStringMap options) {
+        return new MyScanBuilder(options.get("partitionKeys"), 
options.get("orderKeys"));
+      }
+    };
+  }
+
+  static class MySortOrder implements SortOrder {
+    private final Expression expression;
+
+    MySortOrder(String columnName) {
+      this.expression = new MyIdentityTransform(new 
MyNamedReference(columnName));
+    }
+
+    @Override
+    public Expression expression() { return expression; }
+
+    @Override
+    public SortDirection direction() { return SortDirection.ASCENDING; }
+
+    @Override
+    public NullOrdering nullOrdering() { return NullOrdering.NULLS_FIRST; }
+  }
+
+  static class MyNamedReference implements NamedReference {
+    private final String[] parts;
+
+    MyNamedReference(String part) { this.parts = new String[] { part }; }

Review Comment:
   nit: break this into multiple lines:
   ```
   MyNamedReference(String part) {
     this.parts = new String[] { part }; 
   }
   ```



##########
sql/core/src/test/java/test/org/apache/spark/sql/connector/JavaOrderAndPartitionAwareDataSource.java:
##########
@@ -0,0 +1,144 @@
+/*
+ * 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 test.org.apache.spark.sql.connector;
+
+import java.util.Arrays;
+
+import org.apache.spark.sql.connector.catalog.Table;
+import org.apache.spark.sql.connector.expressions.*;
+import org.apache.spark.sql.connector.read.*;
+import org.apache.spark.sql.connector.read.partitioning.KeyGroupedPartitioning;
+import org.apache.spark.sql.connector.read.partitioning.Partitioning;
+import org.apache.spark.sql.connector.read.partitioning.UnknownPartitioning;
+import org.apache.spark.sql.util.CaseInsensitiveStringMap;
+
+public class JavaOrderAndPartitionAwareDataSource extends 
JavaPartitionAwareDataSource {
+
+  static class MyScanBuilder extends JavaPartitionAwareDataSource.MyScanBuilder
+          implements SupportsReportOrdering {

Review Comment:
   nit: indentation looks off here



##########
sql/core/src/test/java/test/org/apache/spark/sql/connector/JavaOrderAndPartitionAwareDataSource.java:
##########
@@ -0,0 +1,144 @@
+/*
+ * 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 test.org.apache.spark.sql.connector;
+
+import java.util.Arrays;
+
+import org.apache.spark.sql.connector.catalog.Table;
+import org.apache.spark.sql.connector.expressions.*;
+import org.apache.spark.sql.connector.read.*;
+import org.apache.spark.sql.connector.read.partitioning.KeyGroupedPartitioning;
+import org.apache.spark.sql.connector.read.partitioning.Partitioning;
+import org.apache.spark.sql.connector.read.partitioning.UnknownPartitioning;
+import org.apache.spark.sql.util.CaseInsensitiveStringMap;
+
+public class JavaOrderAndPartitionAwareDataSource extends 
JavaPartitionAwareDataSource {
+
+  static class MyScanBuilder extends JavaPartitionAwareDataSource.MyScanBuilder
+          implements SupportsReportOrdering {
+
+    private final Partitioning partitioning;
+    private final SortOrder[] ordering;
+
+    MyScanBuilder(String partitionKeys, String orderKeys) {
+      if (partitionKeys != null) {
+        String[] keys = partitionKeys.split(",");
+        Expression[] clustering = new Transform[keys.length];
+        for (int i = 0; i < keys.length; i++) {
+          clustering[i] = Expressions.identity(keys[i]);
+        }
+        this.partitioning = new KeyGroupedPartitioning(clustering, 2);
+      } else {
+        this.partitioning = new UnknownPartitioning(2);
+      }
+
+      if (orderKeys != null) {
+        String[] keys = orderKeys.split(",");
+        this.ordering = new SortOrder[keys.length];
+        for (int i = 0; i < keys.length; i++) {
+          this.ordering[i] = new MySortOrder(keys[i]);
+        }
+      } else {
+        this.ordering = new SortOrder[0];
+      }
+    }
+
+    @Override
+    public InputPartition[] planInputPartitions() {
+      InputPartition[] partitions = new InputPartition[2];
+      partitions[0] = new SpecificInputPartition(new int[]{1, 1, 3}, new 
int[]{4, 5, 5});
+      partitions[1] = new SpecificInputPartition(new int[]{2, 4, 4}, new 
int[]{6, 1, 2});
+      return partitions;
+    }
+
+    @Override
+    public Partitioning outputPartitioning() {
+      return this.partitioning;
+    }
+
+    @Override
+    public SortOrder[] outputOrdering() {
+      return this.ordering;
+    }
+  }
+
+  @Override
+  public Table getTable(CaseInsensitiveStringMap options) {
+    return new JavaSimpleBatchTable() {
+      @Override
+      public Transform[] partitioning() {
+        String partitionKeys = options.get("partitionKeys");
+        if (partitionKeys == null) {
+          return new Transform[0];
+        } else {
+          return (Transform[])Arrays.stream(partitionKeys.split(","))
+            .map(Expressions::identity).toArray();
+        }
+      }
+
+      @Override
+      public ScanBuilder newScanBuilder(CaseInsensitiveStringMap options) {
+        return new MyScanBuilder(options.get("partitionKeys"), 
options.get("orderKeys"));
+      }
+    };
+  }
+
+  static class MySortOrder implements SortOrder {
+    private final Expression expression;
+
+    MySortOrder(String columnName) {
+      this.expression = new MyIdentityTransform(new 
MyNamedReference(columnName));
+    }
+
+    @Override
+    public Expression expression() { return expression; }
+
+    @Override
+    public SortDirection direction() { return SortDirection.ASCENDING; }
+
+    @Override
+    public NullOrdering nullOrdering() { return NullOrdering.NULLS_FIRST; }
+  }
+
+  static class MyNamedReference implements NamedReference {
+    private final String[] parts;
+
+    MyNamedReference(String part) { this.parts = new String[] { part }; }
+
+    @Override
+    public String[] fieldNames() { return this.parts; }

Review Comment:
   ditto



##########
sql/core/src/test/java/test/org/apache/spark/sql/connector/JavaOrderAndPartitionAwareDataSource.java:
##########
@@ -0,0 +1,144 @@
+/*
+ * 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 test.org.apache.spark.sql.connector;
+
+import java.util.Arrays;
+
+import org.apache.spark.sql.connector.catalog.Table;
+import org.apache.spark.sql.connector.expressions.*;
+import org.apache.spark.sql.connector.read.*;
+import org.apache.spark.sql.connector.read.partitioning.KeyGroupedPartitioning;
+import org.apache.spark.sql.connector.read.partitioning.Partitioning;
+import org.apache.spark.sql.connector.read.partitioning.UnknownPartitioning;
+import org.apache.spark.sql.util.CaseInsensitiveStringMap;
+
+public class JavaOrderAndPartitionAwareDataSource extends 
JavaPartitionAwareDataSource {
+
+  static class MyScanBuilder extends JavaPartitionAwareDataSource.MyScanBuilder
+          implements SupportsReportOrdering {
+
+    private final Partitioning partitioning;
+    private final SortOrder[] ordering;
+
+    MyScanBuilder(String partitionKeys, String orderKeys) {
+      if (partitionKeys != null) {
+        String[] keys = partitionKeys.split(",");
+        Expression[] clustering = new Transform[keys.length];
+        for (int i = 0; i < keys.length; i++) {
+          clustering[i] = Expressions.identity(keys[i]);
+        }
+        this.partitioning = new KeyGroupedPartitioning(clustering, 2);
+      } else {
+        this.partitioning = new UnknownPartitioning(2);
+      }
+
+      if (orderKeys != null) {
+        String[] keys = orderKeys.split(",");
+        this.ordering = new SortOrder[keys.length];
+        for (int i = 0; i < keys.length; i++) {
+          this.ordering[i] = new MySortOrder(keys[i]);
+        }
+      } else {
+        this.ordering = new SortOrder[0];
+      }
+    }
+
+    @Override
+    public InputPartition[] planInputPartitions() {
+      InputPartition[] partitions = new InputPartition[2];
+      partitions[0] = new SpecificInputPartition(new int[]{1, 1, 3}, new 
int[]{4, 5, 5});
+      partitions[1] = new SpecificInputPartition(new int[]{2, 4, 4}, new 
int[]{6, 1, 2});
+      return partitions;
+    }
+
+    @Override
+    public Partitioning outputPartitioning() {
+      return this.partitioning;
+    }
+
+    @Override
+    public SortOrder[] outputOrdering() {
+      return this.ordering;
+    }
+  }
+
+  @Override
+  public Table getTable(CaseInsensitiveStringMap options) {
+    return new JavaSimpleBatchTable() {
+      @Override
+      public Transform[] partitioning() {
+        String partitionKeys = options.get("partitionKeys");
+        if (partitionKeys == null) {
+          return new Transform[0];
+        } else {
+          return (Transform[])Arrays.stream(partitionKeys.split(","))
+            .map(Expressions::identity).toArray();
+        }
+      }
+
+      @Override
+      public ScanBuilder newScanBuilder(CaseInsensitiveStringMap options) {
+        return new MyScanBuilder(options.get("partitionKeys"), 
options.get("orderKeys"));
+      }
+    };
+  }
+
+  static class MySortOrder implements SortOrder {
+    private final Expression expression;
+
+    MySortOrder(String columnName) {
+      this.expression = new MyIdentityTransform(new 
MyNamedReference(columnName));
+    }
+
+    @Override
+    public Expression expression() { return expression; }
+
+    @Override
+    public SortDirection direction() { return SortDirection.ASCENDING; }
+
+    @Override
+    public NullOrdering nullOrdering() { return NullOrdering.NULLS_FIRST; }
+  }
+
+  static class MyNamedReference implements NamedReference {
+    private final String[] parts;
+
+    MyNamedReference(String part) { this.parts = new String[] { part }; }

Review Comment:
   similarly for other places



##########
sql/core/src/test/java/test/org/apache/spark/sql/connector/JavaOrderAndPartitionAwareDataSource.java:
##########
@@ -0,0 +1,141 @@
+/*
+ * 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 test.org.apache.spark.sql.connector;
+
+import org.apache.spark.sql.connector.catalog.Table;
+import org.apache.spark.sql.connector.expressions.*;
+import org.apache.spark.sql.connector.read.*;
+import org.apache.spark.sql.connector.read.partitioning.KeyGroupedPartitioning;
+import org.apache.spark.sql.connector.read.partitioning.Partitioning;
+import org.apache.spark.sql.connector.read.partitioning.UnknownPartitioning;
+import org.apache.spark.sql.util.CaseInsensitiveStringMap;
+
+public class JavaOrderAndPartitionAwareDataSource extends 
JavaPartitionAwareDataSource {
+
+  static class MyScanBuilder extends JavaSimpleScanBuilder
+          implements SupportsReportPartitioning, SupportsReportOrdering {
+
+    private final Partitioning partitioning;
+    private final SortOrder[] ordering;
+
+    MyScanBuilder(String partitionKeys, String orderKeys) {
+      if (partitionKeys != null) {
+        String[] keys = partitionKeys.split(",");
+        Expression[] clustering = new Transform[keys.length];
+        for (int i=0; i< keys.length; i++) {
+          clustering[i] = Expressions.identity(keys[i]);
+        }
+        this.partitioning = new KeyGroupedPartitioning(clustering, 2);
+      } else {
+        this.partitioning = new UnknownPartitioning(2);
+      }
+
+      if (orderKeys != null) {
+        String[] keys = orderKeys.split(",");
+        this.ordering = new SortOrder[keys.length];
+        for (int i=0; i<keys.length; i++) {
+          this.ordering[i] = new MySortOrder(keys[i]);
+        }
+      } else {
+        this.ordering = new SortOrder[0];
+      }
+    }
+
+    @Override
+    public InputPartition[] planInputPartitions() {
+      InputPartition[] partitions = new InputPartition[2];
+      partitions[0] = new SpecificInputPartition(new int[]{1, 1, 3}, new 
int[]{4, 5, 5});
+      partitions[1] = new SpecificInputPartition(new int[]{2, 4, 4}, new 
int[]{6, 1, 2});
+      return partitions;
+    }
+
+    @Override
+    public PartitionReaderFactory createReaderFactory() {
+      return new SpecificReaderFactory();
+    }
+
+    @Override
+    public Partitioning outputPartitioning() {
+      return this.partitioning;
+    }
+
+    @Override
+    public SortOrder[] outputOrdering() {
+      return this.ordering;
+    }
+  }
+
+  @Override
+  public Table getTable(CaseInsensitiveStringMap options) {
+    return new JavaSimpleBatchTable() {
+      @Override
+      public Transform[] partitioning() {
+        return new Transform[] { Expressions.identity("i") };
+      }
+
+      @Override
+      public ScanBuilder newScanBuilder(CaseInsensitiveStringMap options) {
+        return new MyScanBuilder(options.get("partitionKeys"), 
options.get("orderKeys"));
+      }
+    };
+  }
+
+  static class MySortOrder implements SortOrder {
+    private final Expression expression;
+
+    MySortOrder(String columnName) {
+      this.expression = new MyIdentityTransform(new 
MyNamedReference(columnName));

Review Comment:
   OK, makes sense.



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