/**
* Copyright (C) 2014-2015 LinkedIn Corp. (pinot-core@linkedin.com)
*
* Licensed 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 com.linkedin.thirdeye.hadoop.derivedcolumn.transformation;
import java.io.IOException;
import java.util.Properties;
import org.apache.avro.Schema;
import org.testng.Assert;
import org.testng.annotations.BeforeTest;
import org.testng.annotations.Test;
import com.linkedin.thirdeye.hadoop.config.ThirdEyeConfig;
import com.linkedin.thirdeye.hadoop.config.ThirdEyeConfigProperties;
public class DerivedSchemaGenerationTest {
private static final String AVRO_SCHEMA = "schema.avsc";
DerivedColumnTransformationPhaseJob job = new DerivedColumnTransformationPhaseJob("derived_column_transformation", null);
Schema inputSchema;
ThirdEyeConfig thirdeyeConfig;
Properties props;
@BeforeTest
public void setup() throws IOException {
inputSchema = new Schema.Parser().parse(ClassLoader.getSystemResourceAsStream(AVRO_SCHEMA));
props = new Properties();
props.setProperty(ThirdEyeConfigProperties.THIRDEYE_TABLE_NAME.toString(), "collection");
props.setProperty(ThirdEyeConfigProperties.THIRDEYE_DIMENSION_NAMES.toString(), "d1,d2,d3");
props.setProperty(ThirdEyeConfigProperties.THIRDEYE_METRIC_NAMES.toString(), "m1,m2");
props.setProperty(ThirdEyeConfigProperties.THIRDEYE_METRIC_TYPES.toString(), "INT,INT");
props.setProperty(ThirdEyeConfigProperties.THIRDEYE_TIMECOLUMN_NAME.toString(), "hoursSinceEpoch");
}
@Test
public void testDerivedColumnsSchemaGeneration() throws Exception{
ThirdEyeConfig thirdeyeConfig = ThirdEyeConfig.fromProperties(props);
Schema outputSchema = job.newSchema(thirdeyeConfig);
Assert.assertEquals(inputSchema.getFields().size(), outputSchema.getFields().size(),
"Input schema should be same as output schema if no topk/whitelist in config");
props.setProperty(ThirdEyeConfigProperties.THIRDEYE_TOPK_DIMENSION_NAMES.toString(), "d2,");
props.setProperty(ThirdEyeConfigProperties.THIRDEYE_TOPK_METRICS.toString() + ".d2", "m1");
props.setProperty(ThirdEyeConfigProperties.THIRDEYE_TOPK_KVALUES.toString() + ".d2", "1");
props.setProperty(ThirdEyeConfigProperties.THIRDEYE_WHITELIST_DIMENSION_NAMES.toString(), "d2,d3");
props.setProperty(ThirdEyeConfigProperties.THIRDEYE_WHITELIST_DIMENSION.toString() + ".d2" , "a,b,c");
props.setProperty(ThirdEyeConfigProperties.THIRDEYE_WHITELIST_DIMENSION.toString() + ".d3", "x,y");
thirdeyeConfig = ThirdEyeConfig.fromProperties(props);
outputSchema = job.newSchema(thirdeyeConfig);
Assert.assertEquals(inputSchema.getFields().size() + 1, outputSchema.getFields().size(),
"Input schema should not be same as output schema if topk/whitelist in config");
Assert.assertEquals(outputSchema.getField("d2_topk") != null, true,
"Output schema should have _topk entries for columsn in topk");
}
}