blob: b703f77310d0cc63fa482a49ac4a5d90dc25d9bf [file] [log] [blame]
/*
* 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.drill.exec.physical.impl.scan;
import static org.junit.Assert.assertFalse;
import org.apache.drill.categories.RowSetTest;
import org.apache.drill.common.types.TypeProtos.DataMode;
import org.apache.drill.common.types.TypeProtos.MinorType;
import org.apache.drill.exec.physical.impl.scan.ScanTestUtils.MockScanBuilder;
import org.apache.drill.exec.physical.impl.scan.project.ReaderSchemaOrchestrator;
import org.apache.drill.exec.physical.impl.scan.project.ScanSchemaOrchestrator;
import org.apache.drill.exec.physical.impl.scan.project.ScanSchemaOrchestrator.ScanOrchestratorBuilder;
import org.apache.drill.exec.physical.resultSet.ResultSetLoader;
import org.apache.drill.exec.physical.resultSet.RowSetLoader;
import org.apache.drill.exec.record.metadata.SchemaBuilder;
import org.apache.drill.exec.record.metadata.TupleMetadata;
import org.apache.drill.test.SubOperatorTest;
import org.apache.drill.exec.physical.rowSet.RowSetTestUtils;
import org.apache.drill.exec.physical.rowSet.RowSet.SingleRowSet;
import org.apache.drill.test.rowSet.RowSetComparison;
import org.junit.Test;
import org.junit.experimental.categories.Category;
/**
* Test the late-schema support in the scan orchestrator. "Late schema" is the case
* in which no table schema is provided up front, instead, the reader "discovers"
* the schema as it reads data. For example, the JSON reader learns the schema
* only as it sees each column.
* <p>
* The tests here focus on the scan orchestrator itself; the tests assume
* that tests for lower-level components have already passed.
*/
@Category(RowSetTest.class)
public class TestScanOrchestratorLateSchema extends SubOperatorTest {
/**
* Test SELECT * from an early-schema table of (a, b)
*/
@Test
public void testLateSchemaWildcard() {
ScanOrchestratorBuilder builder = new MockScanBuilder();
// SELECT * ...
builder.projection(RowSetTestUtils.projectAll());
ScanSchemaOrchestrator orchestrator = new ScanSchemaOrchestrator(fixture.allocator(), builder);
// ... FROM table
ReaderSchemaOrchestrator reader = orchestrator.startReader();
// Create the table loader
ResultSetLoader loader = reader.makeTableLoader(null);
// Late schema: no batch provided up front.
assertFalse(reader.hasSchema());
// Start a batch and discover a schema: (a, b)
reader.startBatch();
RowSetLoader writer = loader.writer();
writer.addColumn(SchemaBuilder.columnSchema("a", MinorType.INT, DataMode.REQUIRED));
writer.addColumn(SchemaBuilder.columnSchema("b", MinorType.VARCHAR, DataMode.REQUIRED));
// Create a batch of data using the discovered schema
writer
.addRow(1, "fred")
.addRow(2, "wilma");
reader.endBatch();
// Verify
TupleMetadata tableSchema = new SchemaBuilder()
.add("a", MinorType.INT)
.add("b", MinorType.VARCHAR)
.buildSchema();
SingleRowSet expected = fixture.rowSetBuilder(tableSchema)
.addRow(1, "fred")
.addRow(2, "wilma")
.build();
new RowSetComparison(expected)
.verifyAndClearAll(fixture.wrap(orchestrator.output()));
orchestrator.close();
}
/**
* Test SELECT a, c FROM table(a, b)
*/
@Test
public void testLateSchemaSelectDisjoint() {
ScanOrchestratorBuilder builder = new MockScanBuilder();
// SELECT a, c ...
builder.projection(RowSetTestUtils.projectList("a", "c"));
ScanSchemaOrchestrator orchestrator = new ScanSchemaOrchestrator(fixture.allocator(), builder);
// ... FROM file
ReaderSchemaOrchestrator reader = orchestrator.startReader();
// Create the table loader
ResultSetLoader loader = reader.makeTableLoader(null);
// file schema (a, b)
reader.startBatch();
RowSetLoader writer = loader.writer();
writer.addColumn(SchemaBuilder.columnSchema("a", MinorType.INT, DataMode.REQUIRED));
writer.addColumn(SchemaBuilder.columnSchema("b", MinorType.VARCHAR, DataMode.REQUIRED));
// Create a batch of data.
writer
.addRow(1, "fred")
.addRow(2, "wilma");
reader.endBatch();
// Verify
TupleMetadata expectedSchema = new SchemaBuilder()
.add("a", MinorType.INT)
.addNullable("c", MinorType.INT)
.buildSchema();
SingleRowSet expected = fixture.rowSetBuilder(expectedSchema)
.addRow(1, null)
.addRow(2, null)
.build();
new RowSetComparison(expected)
.verifyAndClearAll(fixture.wrap(orchestrator.output()));
orchestrator.close();
}
// TODO: Type persistence across late schema changes
}