标签:rop ram soft 写入文件 nap ada 原来 simple bin
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>
标签:rop ram soft 写入文件 nap ada 原来 simple bin
原文地址:https://www.cnblogs.com/luxj/p/14145783.html