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/*
* Copyright (c) 2016 Cisco and/or its affiliates.
*
* 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 io.fd.honeycomb.benchmark.format;
import com.google.common.base.Charsets;
import io.fd.honeycomb.benchmark.util.DataProvider;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.Reader;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;
import org.apache.commons.csv.CSVFormat;
import org.apache.commons.csv.CSVPrinter;
import org.apache.commons.csv.CSVRecord;
import org.opendaylight.controller.md.sal.common.api.data.LogicalDatastoreType;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* Processes JMH CSV file to format accepted by Jenkins plot plugin (header + one data line per CSV file).
*/
public final class BenchmarkOutputFormatter {
/*
Input format of the JMH CSV file:
"Benchmark","Mode","Threads","Samples","Score","Score Error (99,9%)","Unit","Param: data","Param: dsType","Param: operation","Param: persistence","Param: submitFrequency"
"io.fd.honeycomb.benchmark.data.DataBrokerConfigWriteBenchmark.write","thrpt",1,1,"3099,563546",NaN,"ops/s",simple-container,CONFIGURATION,put,true,1
...
*/
private static final int SCORE_POSITION = 4;
private static final int DATA_TYPE_POSITION = 7;
private static final int DS_TYPE_POSITION = 8;
private static final int PERSISTENCE_POSITION = 10;
private static final int SUBMIT_FREQUENCY_POSITION = 11;
private static final Logger LOG = LoggerFactory.getLogger(BenchmarkOutputFormatter.class);
private BenchmarkOutputFormatter() {
}
/**
* Produces 4 CSV files (simple-container, list-in-container, complex-list-in-container write + one plot for read).
*/
public static void main(final String[] args) throws Exception {
final File csvFile = new File(args[0]);
if (!csvFile.exists()) {
throw new FileNotFoundException(args[0]);
}
final String path = csvFile.getParent();
LOG.info("Preparing benchmarking plot data from: {}", args[0]);
final Reader in = new InputStreamReader(new FileInputStream(csvFile), Charsets.UTF_8);
final List<CSVRecord> records = CSVFormat.RFC4180.parse(in).getRecords();
writeStatistics(processSimpleContainer(records), path, "simple-container.csv");
writeStatistics(processListContainer(records), path, "list-in-container.csv");
writeStatistics(processComplexListContainer(records), path, "complex-list-in-container.csv");
writeStatistics(processReadStatistics(records), path, "operational-read.csv");
LOG.info("Finished benchmarking plot data preparation");
}
private static boolean isConfiguration(CSVRecord record) {
return LogicalDatastoreType.CONFIGURATION.toString().equals(record.get(DS_TYPE_POSITION));
}
private static List<DataEntry> processSimpleContainer(final List<CSVRecord> list) {
return list.stream().filter(
record -> DataProvider.SIMPLE_CONTAINER.equals(record.get(DATA_TYPE_POSITION)) && isConfiguration(record))
.map(DataEntry::parseWriteData).collect(Collectors.toList());
}
private static List<DataEntry> processListContainer(final List<CSVRecord> list) {
return list.stream().filter(
record -> DataProvider.LIST_IN_CONTAINER.equals(record.get(DATA_TYPE_POSITION)) && isConfiguration(record))
.map(DataEntry::parseWriteData)
.collect(Collectors.toList());
}
private static List<DataEntry> processComplexListContainer(final List<CSVRecord> list) {
return list.stream().filter(
record -> DataProvider.COMPLEX_LIST_IN_CONTAINER.equals(record.get(DATA_TYPE_POSITION))
&& isConfiguration(record))
.map(DataEntry::parseWriteData)
.collect(Collectors.toList());
}
private static List<DataEntry> processReadStatistics(final List<CSVRecord> list) {
return list.stream()
.filter(record -> LogicalDatastoreType.OPERATIONAL.toString().equals(record.get(DS_TYPE_POSITION)))
.map(DataEntry::parseReadData)
.collect(Collectors.toList());
}
private static void writeStatistics(final List<DataEntry> data, final String path, final String fileName)
throws IOException {
final String absolutePath = path + '/' + fileName;
LOG.debug("Writing benchmark statistics to file {}", absolutePath);
final List<String> keys = new ArrayList<>();
final List<String> scores = new ArrayList<>();
data.stream().forEach(entry -> {
keys.add(entry.key);
scores.add(entry.score);
});
LOG.debug("header: {}", keys);
LOG.debug("values: {}", scores);
final StringBuilder buffer = new StringBuilder();
final CSVPrinter csv = new CSVPrinter(buffer, CSVFormat.RFC4180);
csv.printRecord(keys);
csv.printRecord(scores);
csv.close();
try (final FileOutputStream out = new FileOutputStream(absolutePath)) {
out.write(buffer.toString().getBytes(Charsets.UTF_8));
out.close();
LOG.debug("Statistics written successfully");
}
}
private static final class DataEntry {
private final String key;
private final String score;
private DataEntry(final String key, final String score) {
this.key = key;
this.score = score;
}
static DataEntry parseWriteData(final CSVRecord record) {
return new DataEntry(
"persistence=" + record.get(PERSISTENCE_POSITION) + " freq=" + record.get(SUBMIT_FREQUENCY_POSITION),
record.get(SCORE_POSITION)
);
}
static DataEntry parseReadData(final CSVRecord record) {
return new DataEntry(
record.get(DATA_TYPE_POSITION),
record.get(SCORE_POSITION)
);
}
}
}
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