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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.sqoop.importjob.configuration;
import java.math.BigDecimal;
import java.util.ArrayList;
import java.util.List;
/**
* This test configuration intends to cover the fact that oracle stores these types without padding them with 0s,
* therefore when importing into avro and parquet, one has to use the padding feature.
*/
public class OracleImportJobTestConfiguration implements ImportJobTestConfiguration, AvroTestConfiguration, ParquetTestConfiguration, HiveTestConfiguration {
@Override
public String[] getTypes() {
return new String[]{"INT", "NUMBER(20)", "NUMBER(20,5)", "NUMBER(20,-5)", "NUMBER(*,5)",
"DECIMAL", "DECIMAL(20)", "DECIMAL(20,5)", "DECIMAL(20,-5)", "DECIMAL(*,5)"};
}
@Override
public String[] getNames() {
return new String[]{"ID", "N2", "N3", "N4", "N5", "D1", "D2", "D3", "D4", "D5"};
}
@Override
public List<String[]> getSampleData() {
List<String[]> data = new ArrayList<>();
data.add(new String[]{"1", "1000000.05", "1000000.05", "1000000.05", "1000000.05",
"100.02", "1000000.05", "1000000.05", "1000000.05", "1000000.05"});
return data;
}
@Override
public String[] getExpectedResultsForAvro() {
String expectedRecord = "{\"ID\": 1, \"N2\": 1000000, \"N3\": 1000000.05000, \"N4\": 1000000, \"N5\": 1000000.05000, " +
"\"D1\": 100, \"D2\": 1000000, \"D3\": 1000000.05000, \"D4\": 1000000, \"D5\": 1000000.05000}";
String[] expectedResult = new String[1];
expectedResult[0] = expectedRecord;
return expectedResult;
}
@Override
public String[] getExpectedResultsForParquet() {
String expectedRecord = "1,1000000,1000000.05000,1000000,1000000.05000,100,1000000,1000000.05000,1000000,1000000.05000";
String[] expectedResult = new String[1];
expectedResult[0] = expectedRecord;
return expectedResult;
}
@Override
public String toString() {
return getClass().getSimpleName();
}
@Override
public Object[] getExpectedResultsForHive() {
return new Object[]{
new BigDecimal("1"),
new BigDecimal("1000000"),
new BigDecimal("1000000.05000"),
new BigDecimal("1000000"),
new BigDecimal("1000000.05000"),
new BigDecimal("100"),
new BigDecimal("1000000"),
new BigDecimal("1000000.05000"),
new BigDecimal("1000000"),
new BigDecimal("1000000.05000")
};
}
}