https://blog.csdn.net/u012995897/article/details/76623739　　

　　打开ParquetWriter或者ParquetReader发现大部分构造方法都是过时的（@Deprecated），经过仔细的百度，和读源码，才发现原来创建ParquetWriter对象采用内部类Builder来build();

 

 

 实例：（Apache parquet1.9.0）本次写入文件，没有保存到hdfs如果需要保存到hdfs，则需要配置hdfs配置文件。

/**
 * 创建日期：2017-8-2
 * 包路径：org.meter.parquet.TestParquetWriter.java
 * 创建者：meter
 * 描述：
 * 版权：copyright@2017 by meter !
 */
package org.meter.parquet;
 
import java.io.IOException;
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.SimpleGroup;
import org.apache.parquet.example.data.simple.SimpleGroupFactory;
import org.apache.parquet.format.converter.ParquetMetadataConverter;
import org.apache.parquet.hadoop.ParquetFileReader;
import org.apache.parquet.hadoop.ParquetFileWriter;
import org.apache.parquet.hadoop.ParquetReader;
import org.apache.parquet.hadoop.ParquetWriter;
import org.apache.parquet.hadoop.api.ReadSupport;
import org.apache.parquet.hadoop.example.ExampleParquetWriter;
import org.apache.parquet.hadoop.example.GroupReadSupport;
import org.apache.parquet.hadoop.metadata.CompressionCodecName;
import org.apache.parquet.hadoop.metadata.ParquetMetadata;
import org.apache.parquet.schema.MessageType;
import org.apache.parquet.schema.MessageTypeParser;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
 
 
 
/**
 * @author meter
 * 文件名：TestParquetWriter
 * @描述：
 */
public class TestParquetWriter {
 
	private static Logger logger = LoggerFactory
			.getLogger(TestParquetWriter.class);
	private static String schemaStr = "message schema {" + "optional int64 log_id;"
			+ "optional binary idc_id;" + "optional int64 house_id;"
			+ "optional int64 src_ip_long;" + "optional int64 dest_ip_long;"
			+ "optional int64 src_port;" + "optional int64 dest_port;"
			+ "optional int32 protocol_type;" + "optional binary url64;"
			+ "optional binary access_time;}";
	static MessageType schema =MessageTypeParser.parseMessageType(schemaStr);
	/**
	 * 创建时间：2017-8-3
	 * 创建者：meter
	 * 返回值类型：void
	 * @描述：输出MessageType
	 */
	public static void testParseSchema(){
		logger.info(schema.toString());
	}
	
	/**
	 * 创建时间：2017-8-3
	 * 创建者：meter
	 * 返回值类型：void
	 * @描述：获取parquet的Schema
	 * @throws Exception
	 */
	public static void testGetSchema() throws Exception {
		Configuration configuration = new Configuration();
		// windows 下测试入库impala需要这个配置
				System.setProperty("hadoop.home.dir",
						"E:\\mvtech\\software\\hadoop-common-2.2.0-bin-master");
		ParquetMetadata readFooter = null;
		Path parquetFilePath = new Path("file:///E:/mvtech/work/isms_develop/src/org/meter/parquet/2017-08-02-10_91014_DPI0801201708021031_470000.parq");
		readFooter = ParquetFileReader.readFooter(configuration,
				parquetFilePath, ParquetMetadataConverter.NO_FILTER);
		MessageType schema =readFooter.getFileMetaData().getSchema();
		logger.info(schema.toString());
	}
 
	/**
	 * 创建时间：2017-8-3
	 * 创建者：meter
	 * 返回值类型：void
	 * @描述：测试写parquet文件
	 * @throws IOException
	 */
	private static void testParquetWriter() throws IOException {
		Path file = new Path(
				"file:///C:\\Users\\meir\\Desktop\\linuxtetdir\\logtxt\\test.parq");
		ExampleParquetWriter.Builder builder = ExampleParquetWriter
				.builder(file).withWriteMode(ParquetFileWriter.Mode.CREATE)
				.withWriterVersion(ParquetProperties.WriterVersion.PARQUET_1_0)
				.withCompressionCodec(CompressionCodecName.SNAPPY)
				//.withConf(configuration)
				.withType(schema);
		/*
		 * file, new GroupWriteSupport(), CompressionCodecName.SNAPPY, 256 *
		 * 1024 * 1024, 1 * 1024 * 1024, 512, true, false,
		 * ParquetProperties.WriterVersion.PARQUET_1_0, conf
		 */
		ParquetWriter<Group> writer = builder.build();
		SimpleGroupFactory groupFactory = new SimpleGroupFactory(schema);
		String[] access_log = { "111111", "22222", "33333", "44444", "55555",
				"666666", "777777", "888888", "999999", "101010" };
		for(int i=0;i<1000;i++){
		writer.write(groupFactory.newGroup()
				.append("log_id", Long.parseLong(access_log[0]))
				.append("idc_id", access_log[1])
				.append("house_id", Long.parseLong(access_log[2]))
				.append("src_ip_long", Long.parseLong(access_log[3]))
				.append("dest_ip_long", Long.parseLong(access_log[4]))
				.append("src_port", Long.parseLong(access_log[5]))
				.append("dest_port", Long.parseLong(access_log[6]))
				.append("protocol_type", Integer.parseInt(access_log[7]))
				.append("url64", access_log[8])
				.append("access_time", access_log[9]));
		}
		writer.close();
	}
	/**
	 * 创建时间：2017-8-3
	 * 创建者：meter
	 * 返回值类型：void
	 * @throws IOException 
	 * @描述：测试读parquet文件
	 */
	private static void testParquetReader() throws IOException{
		Path file = new Path(
				"file:///C:\\Users\\meir\\Desktop\\linuxtetdir\\logtxt\\test.parq");
		ParquetReader.Builder<Group> builder = ParquetReader.builder(new GroupReadSupport(), file);
		
		ParquetReader<Group> reader = builder.build();
		SimpleGroup group =(SimpleGroup) reader.read();
		logger.info("schema:"+group.getType().toString());
		logger.info("idc_id:"+group.getString(1, 0));
	}
	/**
	 * 创建时间：2017-8-2 创建者：meter 返回值类型：void
	 * 
	 * @描述：
	 * @param args
	 * @throws Exception 
	 */
	public static void main(String[] args) throws Exception {
		//testGetSchema();
		//testParseSchema(); 
		//testParquetWriter();
		testParquetReader();
	}
 
}
 

　　所需jar包：

 

 

maven:

        <dependency>
            <groupId>org.apache.parquet</groupId>
            <artifactId>parquet-hadoop</artifactId>
            <version>1.9.0</version>
        </dependency>

        <dependency>
            <groupId>org.apache.parquet</groupId>
            <artifactId>parquet-avro</artifactId>
            <version>1.9.0</version>
        </dependency>

        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-common</artifactId>
            <version>2.7.2</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>2.7.2</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-hdfs</artifactId>
            <version>2.7.2</version>
        </dependency>