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/*
* 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;
import com.google.common.collect.Lists;
import org.apache.commons.lang3.tuple.Pair;
import org.apache.drill.exec.planner.physical.PlannerSettings;
import org.apache.drill.test.BaseTestQuery;
import org.apache.drill.test.rowSet.schema.SchemaBuilder;
import org.apache.drill.categories.UnlikelyTest;
import org.apache.drill.common.expression.SchemaPath;
import org.apache.drill.common.types.TypeProtos;
import org.apache.drill.exec.record.BatchSchema;
import org.junit.BeforeClass;
import org.junit.Test;
import org.junit.experimental.categories.Category;
import java.nio.file.Paths;
import java.util.List;
@Category(UnlikelyTest.class)
public class TestEmptyInputSql extends BaseTestQuery {
private static final String SINGLE_EMPTY_JSON = "/scan/emptyInput/emptyJson/empty.json";
private static final String SINGLE_EMPTY_CSVH = "/scan/emptyInput/emptyCsvH/empty.csvh";
private static final String SINGLE_EMPTY_CSV = "/scan/emptyInput/emptyCsv/empty.csv";
private static final String EMPTY_DIR_NAME = "empty_directory";
@BeforeClass
public static void setupTestFiles() {
dirTestWatcher.makeTestTmpSubDir(Paths.get(EMPTY_DIR_NAME));
}
/**
* Test with query against an empty file. Select clause has regular column reference, and an expression.
*
* regular column "key" is assigned with nullable-int
* expression "key + 100" is materialized with nullable-int as output type.
*/
@Test
public void testQueryEmptyJson() throws Exception {
final BatchSchema expectedSchema = new SchemaBuilder()
.addNullable("key", TypeProtos.MinorType.INT)
.addNullable("key2", TypeProtos.MinorType.INT)
.build();
testBuilder()
.sqlQuery("select key, key + 100 as key2 from cp.`%s`", SINGLE_EMPTY_JSON)
.schemaBaseLine(expectedSchema)
.build()
.run();
}
/**
* Test with query against an empty file. Select clause has one or more *
* star column is expanded into an empty list.
* @throws Exception
*/
@Test
public void testQueryStarColEmptyJson() throws Exception {
final BatchSchema expectedSchema = new SchemaBuilder()
.build();
testBuilder()
.sqlQuery("select * from cp.`%s` ", SINGLE_EMPTY_JSON)
.schemaBaseLine(expectedSchema)
.build()
.run();
testBuilder()
.sqlQuery("select *, * from cp.`%s` ", SINGLE_EMPTY_JSON)
.schemaBaseLine(expectedSchema)
.build()
.run();
}
/**
* Test with query against an empty file. Select clause has one or more qualified *
* star column is expanded into an empty list.
* @throws Exception
*/
@Test
public void testQueryQualifiedStarColEmptyJson() throws Exception {
final List<Pair<SchemaPath, TypeProtos.MajorType>> expectedSchema = Lists.newArrayList();
testBuilder()
.sqlQuery("select foo.* from cp.`%s` as foo", SINGLE_EMPTY_JSON)
.schemaBaseLine(expectedSchema)
.build()
.run();
testBuilder()
.sqlQuery("select foo.*, foo.* from cp.`%s` as foo", SINGLE_EMPTY_JSON)
.schemaBaseLine(expectedSchema)
.build()
.run();
}
@Test
public void testQueryMapArrayEmptyJson() throws Exception {
final BatchSchema expectedSchema = new SchemaBuilder()
.addNullable("col1", TypeProtos.MinorType.INT)
.addNullable("col2", TypeProtos.MinorType.INT)
.addNullable("col3", TypeProtos.MinorType.INT)
.build();
testBuilder()
.sqlQuery("select foo.a.b as col1, foo.columns[2] as col2, foo.bar.columns[3] as col3 from cp.`%s` as foo", SINGLE_EMPTY_JSON)
.schemaBaseLine(expectedSchema)
.build()
.run();
}
/**
* Test with query against an empty file. Select clause has three expressions.
* 1.0 + 100.0 as constant expression, is resolved to required FLOAT8/VARDECIMAL
* cast(100 as varchar(100) is resolved to required varchar(100)
* cast(columns as varchar(100)) is resolved to nullable varchar(100).
*/
@Test
public void testQueryConstExprEmptyJson() throws Exception {
try {
alterSession(PlannerSettings.ENABLE_DECIMAL_DATA_TYPE_KEY, false);
BatchSchema expectedSchema = new SchemaBuilder()
.add("key", TypeProtos.MinorType.FLOAT8)
.add("name", TypeProtos.MinorType.VARCHAR, 100)
.addNullable("name2", TypeProtos.MinorType.VARCHAR, 100)
.build();
testBuilder()
.sqlQuery("select 1.0 + 100.0 as key, "
+ " cast(100 as varchar(100)) as name, "
+ " cast(columns as varchar(100)) as name2 "
+ " from cp.`%s` ", SINGLE_EMPTY_JSON)
.schemaBaseLine(expectedSchema)
.build()
.run();
alterSession(PlannerSettings.ENABLE_DECIMAL_DATA_TYPE_KEY, true);
expectedSchema = new SchemaBuilder()
.add("key",
TypeProtos.MajorType.newBuilder()
.setMinorType(TypeProtos.MinorType.VARDECIMAL)
.setMode(TypeProtos.DataMode.REQUIRED)
.setPrecision(5)
.setScale(1)
.build())
.add("name", TypeProtos.MinorType.VARCHAR, 100)
.addNullable("name2", TypeProtos.MinorType.VARCHAR, 100)
.build();
testBuilder()
.sqlQuery("select 1.0 + 100.0 as key, "
+ " cast(100 as varchar(100)) as name, "
+ " cast(columns as varchar(100)) as name2 "
+ " from cp.`%s` ", SINGLE_EMPTY_JSON)
.schemaBaseLine(expectedSchema)
.build()
.run();
} finally {
resetSessionOption(PlannerSettings.ENABLE_DECIMAL_DATA_TYPE_KEY);
}
}
/**
* Test select * against empty csv with empty header. * is expanded into empty list of fields.
* @throws Exception
*/
@Test
public void testQueryEmptyCsvH() throws Exception {
final BatchSchema expectedSchema = new SchemaBuilder()
.build();
testBuilder()
.sqlQuery("select * from cp.`%s`", SINGLE_EMPTY_CSVH)
.schemaBaseLine(expectedSchema)
.build()
.run();
}
/**
* Test select * against empty csv file. * is exapnede into "columns : repeated-varchar",
* which is the default column from reading a csv file.
* @throws Exception
*/
@Test
public void testQueryEmptyCsv() throws Exception {
final BatchSchema expectedSchema = new SchemaBuilder()
.addArray("columns", TypeProtos.MinorType.VARCHAR)
.build();
testBuilder()
.sqlQuery("select * from cp.`%s`", SINGLE_EMPTY_CSV)
.schemaBaseLine(expectedSchema)
.build()
.run();
}
@Test
public void testEmptyDirectory() throws Exception {
final BatchSchema expectedSchema = new SchemaBuilder().build();
testBuilder()
.sqlQuery("select * from dfs.tmp.`%s`", EMPTY_DIR_NAME)
.schemaBaseLine(expectedSchema)
.build()
.run();
}
@Test
public void testEmptyDirectoryAndFieldInQuery() throws Exception {
final List<Pair<SchemaPath, TypeProtos.MajorType>> expectedSchema = Lists.newArrayList();
final TypeProtos.MajorType majorType = TypeProtos.MajorType.newBuilder()
.setMinorType(TypeProtos.MinorType.INT) // field "key" is absent in schemaless table
.setMode(TypeProtos.DataMode.OPTIONAL)
.build();
expectedSchema.add(Pair.of(SchemaPath.getSimplePath("key"), majorType));
testBuilder()
.sqlQuery("select key from dfs.tmp.`%s`", EMPTY_DIR_NAME)
.schemaBaseLine(expectedSchema)
.build()
.run();
}
}
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