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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.parquet.benchmarks;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.parquet.column.ParquetProperties;
import org.apache.parquet.example.data.Group;
import org.apache.parquet.example.data.simple.SimpleGroupFactory;
import org.apache.parquet.hadoop.ParquetWriter;
import org.apache.parquet.hadoop.example.GroupWriteSupport;
import org.apache.parquet.hadoop.metadata.CompressionCodecName;
import org.apache.parquet.io.api.Binary;
import org.apache.parquet.schema.MessageType;
import java.io.IOException;
import java.util.Arrays;
import static java.util.UUID.randomUUID;
import static org.apache.parquet.benchmarks.BenchmarkUtils.deleteIfExists;
import static org.apache.parquet.benchmarks.BenchmarkUtils.exists;
import static org.apache.parquet.column.ParquetProperties.WriterVersion.PARQUET_2_0;
import static org.apache.parquet.hadoop.metadata.CompressionCodecName.GZIP;
import static org.apache.parquet.hadoop.metadata.CompressionCodecName.SNAPPY;
import static org.apache.parquet.hadoop.metadata.CompressionCodecName.UNCOMPRESSED;
import static org.apache.parquet.schema.MessageTypeParser.parseMessageType;
import static org.apache.parquet.benchmarks.BenchmarkConstants.*;
import static org.apache.parquet.benchmarks.BenchmarkFiles.*;
public class DataGenerator {
public void generateAll() {
try {
generateData(file_1M, configuration, PARQUET_2_0, BLOCK_SIZE_DEFAULT, PAGE_SIZE_DEFAULT, FIXED_LEN_BYTEARRAY_SIZE, UNCOMPRESSED, ONE_MILLION);
//generate data for different block and page sizes
generateData(file_1M_BS256M_PS4M, configuration, PARQUET_2_0, BLOCK_SIZE_256M, PAGE_SIZE_4M, FIXED_LEN_BYTEARRAY_SIZE, UNCOMPRESSED, ONE_MILLION);
generateData(file_1M_BS256M_PS8M, configuration, PARQUET_2_0, BLOCK_SIZE_256M, PAGE_SIZE_8M, FIXED_LEN_BYTEARRAY_SIZE, UNCOMPRESSED, ONE_MILLION);
generateData(file_1M_BS512M_PS4M, configuration, PARQUET_2_0, BLOCK_SIZE_512M, PAGE_SIZE_4M, FIXED_LEN_BYTEARRAY_SIZE, UNCOMPRESSED, ONE_MILLION);
generateData(file_1M_BS512M_PS8M, configuration, PARQUET_2_0, BLOCK_SIZE_512M, PAGE_SIZE_8M, FIXED_LEN_BYTEARRAY_SIZE, UNCOMPRESSED, ONE_MILLION);
//generate data for different codecs
// generateData(parquetFile_1M_LZO, configuration, PARQUET_2_0, BLOCK_SIZE_DEFAULT, PAGE_SIZE_DEFAULT, FIXED_LEN_BYTEARRAY_SIZE, LZO, ONE_MILLION);
generateData(file_1M_SNAPPY, configuration, PARQUET_2_0, BLOCK_SIZE_DEFAULT, PAGE_SIZE_DEFAULT, FIXED_LEN_BYTEARRAY_SIZE, SNAPPY, ONE_MILLION);
generateData(file_1M_GZIP, configuration, PARQUET_2_0, BLOCK_SIZE_DEFAULT, PAGE_SIZE_DEFAULT, FIXED_LEN_BYTEARRAY_SIZE, GZIP, ONE_MILLION);
}
catch (IOException e) {
throw new RuntimeException(e);
}
}
public void generateData(Path outFile, Configuration configuration, ParquetProperties.WriterVersion version,
int blockSize, int pageSize, int fixedLenByteArraySize, CompressionCodecName codec, int nRows)
throws IOException
{
if (exists(configuration, outFile)) {
System.out.println("File already exists " + outFile);
return;
}
System.out.println("Generating data @ " + outFile);
MessageType schema = parseMessageType(
"message test { "
+ "required binary binary_field; "
+ "required int32 int32_field; "
+ "required int64 int64_field; "
+ "required boolean boolean_field; "
+ "required float float_field; "
+ "required double double_field; "
+ "required fixed_len_byte_array(" + fixedLenByteArraySize +") flba_field; "
+ "required int96 int96_field; "
+ "} ");
GroupWriteSupport.setSchema(schema, configuration);
SimpleGroupFactory f = new SimpleGroupFactory(schema);
ParquetWriter<Group> writer = new ParquetWriter<Group>(outFile, new GroupWriteSupport(), codec, blockSize,
pageSize, DICT_PAGE_SIZE, true, false, version, configuration);
//generate some data for the fixed len byte array field
char[] chars = new char[fixedLenByteArraySize];
Arrays.fill(chars, '*');
for (int i = 0; i < nRows; i++) {
writer.write(
f.newGroup()
.append("binary_field", randomUUID().toString())
.append("int32_field", i)
.append("int64_field", 64l)
.append("boolean_field", true)
.append("float_field", 1.0f)
.append("double_field", 2.0d)
.append("flba_field", new String(chars))
.append("int96_field", Binary.fromConstantByteArray(new byte[12]))
);
}
writer.close();
}
public void cleanup()
{
deleteIfExists(configuration, targetDir);
}
public static void main(String[] args) {
DataGenerator generator = new DataGenerator();
if (args.length < 1) {
System.err.println("Please specify a command (generate|cleanup).");
System.exit(1);
}
String command = args[0];
if (command.equalsIgnoreCase("generate")) {
generator.generateAll();
} else if (command.equalsIgnoreCase("cleanup")) {
generator.cleanup();
} else {
throw new IllegalArgumentException("invalid command " + command);
}
}
}