content: /*
   * 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.beam.sdk.extensions.sql;
  
  import java.util.Arrays;
  import org.apache.beam.sdk.schemas.Schema;
  import org.apache.beam.sdk.testing.PAssert;
  import org.apache.beam.sdk.testing.TestPipeline;
  import org.apache.beam.sdk.transforms.Create;
  import org.apache.beam.sdk.values.PBegin;
  import org.apache.beam.sdk.values.PCollection;
  import org.apache.beam.sdk.values.PCollectionTuple;
  import org.apache.beam.sdk.values.Row;
  import org.apache.beam.sdk.values.TupleTag;
  import org.junit.Rule;
  import org.junit.Test;
  
  /** Tests for nested rows handling. */
  public class BeamSqlDslUnnestRowsTest {
  
    @Rule public final TestPipeline pipeline = TestPipeline.create();
  
    /**
     * TODO([BEAM-14026]): This is a test of the incorrect behavior unnest because calcite flattens
     * the row.
     */
    @Test
    public void testUnnestArrayWithNestedRows() {
  
      Schema level3Type =
          Schema.builder().addInt32Field("c1").addStringField("c2").addDoubleField("c3").build();
  
      Row level3Row1 = Row.withSchema(level3Type).addValues(1, "row", 1.0).build();
      Row level3Row2 = Row.withSchema(level3Type).addValues(2, "row", 2.0).build();
      Row level3Row3 = Row.withSchema(level3Type).addValues(3, "row", 3.0).build();
  
      // define the input row format level3
      Schema level2Type =
          Schema.builder()
              .addInt32Field("b1")
              .addStringField("b2")
              .addRowField("b3", level3Type)
              .addDoubleField("b4")
              .build();
  
      Row level2Row1 = Row.withSchema(level2Type).addValues(1, "row", level3Row1, 1.0).build();
      Row level2Row2 = Row.withSchema(level2Type).addValues(2, "row", level3Row2, 2.0).build();
      Row level2Row3 = Row.withSchema(level2Type).addValues(3, "row", level3Row3, 3.0).build();
  
      // define the input row format level3
      Schema level1Type =
          Schema.builder()
              .addInt32Field("a1")
              .addStringField("a2")
              .addDoubleField("a3")
              .addArrayField("a4", Schema.FieldType.row(level2Type))
              .build();
      Row level1Row1 =
          Row.withSchema(level1Type)
              .addValues(1, "row", 1.0, Arrays.asList(level2Row1, level2Row2, level2Row3))
              .build();
      Row level1Row2 =
          Row.withSchema(level1Type)
              .addValues(2, "row", 2.0, Arrays.asList(level2Row1, level2Row2, level2Row3))
              .build();
      Row level1Row3 =
          Row.withSchema(level1Type)
              .addValues(3, "row", 3.0, Arrays.asList(level2Row1, level2Row2, level2Row3))
              .build();
  
      // create a source PCollection with Create.of();
      PCollection<Row> inputTable =
          PBegin.in(pipeline)
              .apply(Create.of(level1Row1, level1Row2, level1Row3).withRowSchema(level1Type));
  
      String sql =
          "select t.a1, t.a2, t.a3, d.b1, d.b2, d.b4, "
              + "d.b3.c1, d.b3.c2, d.b3.c3 from test t cross join unnest(t.a4) d";
      // Case 1. run a simple SQL query over input PCollection with BeamSql.simpleQuery;
      PCollection<Row> result =
          PCollectionTuple.of(new TupleTag<>("test"), inputTable).apply(SqlTransform.query(sql));
  
      Schema resultSchema =
          Schema.builder()
              .addInt32Field("a1")
              .addStringField("a2")
              .addDoubleField("a3")
              .addInt32Field("b1")
              .addStringField("b2")
              .addDoubleField("b4")
              .addInt32Field("c1")
              .addStringField("c2")
              .addDoubleField("c3")
              .build();
  
      PAssert.that(result)
          .containsInAnyOrder(
              Row.withSchema(resultSchema)
                  .addValues(1, "row", 1.0, 1, "row", 1.0, 1, "row", 1.0)
                  .build(),
              Row.withSchema(resultSchema)
                  .addValues(1, "row", 1.0, 2, "row", 2.0, 2, "row", 2.0)
                  .build(),
              Row.withSchema(resultSchema)
                  .addValues(1, "row", 1.0, 3, "row", 3.0, 3, "row", 3.0)
                  .build(),
              Row.withSchema(resultSchema)
                  .addValues(3, "row", 3.0, 1, "row", 1.0, 1, "row", 1.0)
                  .build(),
              Row.withSchema(resultSchema)
                  .addValues(3, "row", 3.0, 2, "row", 2.0, 2, "row", 2.0)
                  .build(),
              Row.withSchema(resultSchema)
                  .addValues(3, "row", 3.0, 3, "row", 3.0, 3, "row", 3.0)
                  .build(),
              Row.withSchema(resultSchema)
                  .addValues(2, "row", 2.0, 1, "row", 1.0, 1, "row", 1.0)
                  .build(),
              Row.withSchema(resultSchema)
                  .addValues(2, "row", 2.0, 2, "row", 2.0, 2, "row", 2.0)
                  .build(),
              Row.withSchema(resultSchema)
                  .addValues(2, "row", 2.0, 3, "row", 3.0, 3, "row", 3.0)
                  .build());
      pipeline.run();
    }
  }
  