springboot集成hadoop实现hdfs增删改查
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<dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-common</artifactId> <version>${hadoop.version}</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-streaming</artifactId> <version>${hadoop.version}</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-yarn-common</artifactId> <version>${hadoop.version}</version> <exclusions> <exclusion> <groupId>com.google.guava</groupId> <artifactId>guava</artifactId> </exclusion> </exclusions> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-distcp</artifactId> <version>${hadoop.version}</version> <scope>provided</scope> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-mapreduce-client-core</artifactId> <version>${hadoop.version}</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-hdfs</artifactId> <version>${hadoop.version}</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-mapreduce-client-jobclient</artifactId> <version>${hadoop.version}</version> <scope>provided</scope> </dependency> <!-- 中文分词器 --> <dependency> <groupId>cn.bestwu</groupId> <artifactId>ik-analyzers</artifactId> <version>5.1.0</version> </dependency> |
hdfs的配置
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hdfs: hdfsPath: hdfs://bigdata-master:8020 hdfsName: bigdata-master |
将fileSystem配置并注册到spring容器
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@Slf4j @Configuration public class HadoopHDFSConfiguration { @Value("${hdfs.hdfsPath}") private String hdfsPath; @Value("${hdfs.hdfsName}") private String hdfsName; @Bean public org.apache.hadoop.conf.Configuration getConfiguration(){ org.apache.hadoop.conf.Configuration configuration = new org.apache.hadoop.conf.Configuration(); configuration.set("fs.defaultFS", hdfsPath); return configuration; } @Bean public FileSystem getFileSystem(){ FileSystem fileSystem = null; try { fileSystem = FileSystem.get(new URI(hdfsPath), getConfiguration(), hdfsName); } catch (IOException e) { // TODO Auto-generated catch block log.error(e.getMessage()); } catch (InterruptedException e) { // TODO Auto-generated catch block log.error(e.getMessage()); } catch (URISyntaxException e) { // TODO Auto-generated catch block log.error(e.getMessage()); } return fileSystem; } } |
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public interface HDFSService { // 创建文件夹 boolean makeFolder(String path); // 是否存在文件 boolean existFile(String path); List<Map<String, Object>> readCatalog(String path); boolean createFile(String path, MultipartFile file); String readFileContent(String path); List<Map<String, Object>> listFile(String path); boolean renameFile(String oldName, String newName); boolean deleteFile(String path); boolean uploadFile(String path, String uploadPath); boolean downloadFile(String path, String downloadPath); boolean copyFile(String sourcePath, String targetPath); byte[] openFileToBytes(String path); BlockLocation[] getFileBlockLocations(String path); } |
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@Slf4j @Service public class HDFSServiceImpl implements HDFSService { private static final int bufferSize = 1024 * 1024 * 64; @Autowired private FileSystem fileSystem; @Override public boolean makeFolder(String path) { boolean target = false; if (StringUtils.isEmpty(path)) { return false; } if (existFile(path)) { return true; } Path src = new Path(path); try { target = fileSystem.mkdirs(src); } catch (IOException e) { log.error(e.getMessage()); } return target; } @Override public boolean existFile(String path) { if (StringUtils.isEmpty(path)){ return false; } Path src = new Path(path); try { return fileSystem.exists(src); } catch (IOException e) { log.error(e.getMessage()); } return false; } @Override public List<Map<String, Object>> readCatalog(String path) { if (StringUtils.isEmpty(path)){ return Collections.emptyList(); } if (!existFile(path)){ log.error("catalog is not exist!!"); return Collections.emptyList(); } Path src = new Path(path); FileStatus[] fileStatuses = null; try { fileStatuses = fileSystem.listStatus(src); } catch (IOException e) { log.error(e.getMessage()); } List<Map<String, Object>> result = new ArrayList<>(fileStatuses.length); if (null != fileStatuses && 0 < fileStatuses.length) { for (FileStatus fileStatus : fileStatuses) { Map<String, Object> cataLogMap = new HashMap<>(); cataLogMap.put("filePath", fileStatus.getPath()); cataLogMap.put("fileStatus", fileStatus); result.add(cataLogMap); } } return result; } @Override public boolean createFile(String path, MultipartFile file) { boolean target = false; if (StringUtils.isEmpty(path)) { return false; } String fileName = file.getName(); Path newPath = new Path(path + "/" + fileName); FSDataOutputStream outputStream = null; try { outputStream = fileSystem.create(newPath); outputStream.write(file.getBytes()); target = true; } catch (IOException e) { log.error(e.getMessage()); } finally { if (null != outputStream) { try { outputStream.close(); } catch (IOException e) { log.error(e.getMessage()); } } } return target; } @Override public String readFileContent(String path) { if (StringUtils.isEmpty(path)){ return null; } if (!existFile(path)) { return null; } Path src = new Path(path); FSDataInputStream inputStream = null; StringBuilder sb = new StringBuilder(); try { inputStream = fileSystem.open(src); String lineText = ""; while ((lineText = inputStream.readLine()) != null) { sb.append(lineText); } } catch (IOException e) { log.error(e.getMessage()); } finally { if (null != inputStream) { try { inputStream.close(); } catch (IOException e) { log.error(e.getMessage()); } } } return sb.toString(); } @Override public List<Map<String, Object>> listFile(String path) { if (StringUtils.isEmpty(path)) { return Collections.emptyList(); } if (!existFile(path)) { return Collections.emptyList(); } List<Map<String,Object>> resultList = new ArrayList<>(); Path src = new Path(path); try { RemoteIterator<LocatedFileStatus> fileIterator = fileSystem.listFiles(src, true); while (fileIterator.hasNext()) { LocatedFileStatus next = fileIterator.next(); Path filePath = next.getPath(); String fileName = filePath.getName(); Map<String, Object> map = new HashMap<>(); map.put("fileName", fileName); map.put("filePath", filePath.toString()); resultList.add(map); } } catch (IOException e) { log.error(e.getMessage()); } return resultList; } @Override public boolean renameFile(String oldName, String newName) { boolean target = false; if (StringUtils.isEmpty(oldName) || StringUtils.isEmpty(newName)) { return false; } Path oldPath = new Path(oldName); Path newPath = new Path(newName); try { target = fileSystem.rename(oldPath, newPath); } catch (IOException e) { log.error(e.getMessage()); } return target; } @Override public boolean deleteFile(String path) { boolean target = false; if (StringUtils.isEmpty(path)) { return false; } if (!existFile(path)) { return false; } Path src = new Path(path); try { target = fileSystem.deleteOnExit(src); } catch (IOException e) { log.error(e.getMessage()); } return target; } @Override public boolean uploadFile(String path, String uploadPath) { if (StringUtils.isEmpty(path) || StringUtils.isEmpty(uploadPath)) { return false; } Path clientPath = new Path(path); Path serverPath = new Path(uploadPath); try { fileSystem.copyFromLocalFile(false,clientPath,serverPath); return true; } catch (IOException e) { log.error(e.getMessage(), e); } return false; } @Override public boolean downloadFile(String path, String downloadPath) { if (StringUtils.isEmpty(path) || StringUtils.isEmpty(downloadPath)) { return false; } Path clienPath = new Path(path); Path targetPath = new Path(downloadPath); try { fileSystem.copyToLocalFile(false,clienPath, targetPath); return true; } catch (IOException e) { log.error(e.getMessage()); } return false; } @Override public boolean copyFile(String sourcePath, String targetPath) { if (StringUtils.isEmpty(sourcePath) || StringUtils.isEmpty(targetPath)) { return false; } Path oldPath = new Path(sourcePath); Path newPath = new Path(targetPath); FSDataInputStream inputStream = null; FSDataOutputStream outputStream = null; try { inputStream = fileSystem.open(oldPath); outputStream = fileSystem.create(newPath); IOUtils.copyBytes(inputStream,outputStream,bufferSize,false); return true; } catch (IOException e) { log.error(e.getMessage()); } finally { if (null != inputStream) { try { inputStream.close(); } catch (IOException e) { log.error(e.getMessage()); } } if (null != outputStream) { try { outputStream.close(); } catch (IOException e) { log.error(e.getMessage()); } } } return false; } @Override public byte[] openFileToBytes(String path) { if (StringUtils.isEmpty(path)) { return null; } if (!existFile(path)) { return null; } Path src = new Path(path); byte[] result = null; FSDataInputStream inputStream = null; try { inputStream = fileSystem.open(src); result = IOUtils.readFullyToByteArray(inputStream); } catch (IOException e) { log.error(e.getMessage()); } finally { if (null != inputStream){ try { inputStream.close(); } catch (IOException e) { log.error(e.getMessage()); } } } return result; } @Override public BlockLocation[] getFileBlockLocations(String path) { if (StringUtils.isEmpty(path)) { return null; } if (!existFile(path)) { return null; } BlockLocation[] blocks = null; Path src = new Path(path); try{ FileStatus fileStatus = fileSystem.getFileStatus(src); blocks = fileSystem.getFileBlockLocations(fileStatus, 0, fileStatus.getLen()); }catch(Exception e){ log.error(e.getMessage()); } return blocks; } } |
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package com.winterchen.hadoopdemo.reduce; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Reducer; import java.io.IOException; import java.util.ArrayList; import java.util.List; /* * 继承Reducer类需要定义四个输出、输出类型泛型: * 四个泛型类型分别代表: * KeyIn Reducer的输入数据的Key,这里是每行文字中的单词"hello" * ValueIn Reducer的输入数据的Value,这里是每行文字中的次数 * KeyOut Reducer的输出数据的Key,这里是每行文字中的单词"hello" * ValueOut Reducer的输出数据的Value,这里是每行文字中的出现的总次数 */ public class WordReduce extends Reducer<Text, IntWritable, Text, IntWritable> { private IntWritable result = new IntWritable(); private List<String> textList = new ArrayList<>(); @Override protected void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException { int sum = 0; for (IntWritable val : values) { sum += val.get(); } result.set(sum); context.write(key, result); String keyStr = key.toString(); // 使用分词器,内容已经被统计好了,直接输出即可 if (textList.contains(keyStr)) { System.out.println("============ " + keyStr + " 统计分词为: " + sum + " ============"); } } } |
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package com.winterchen.hadoopdemo.configuration; import com.winterchen.hadoopdemo.HadoopDemoApplication; import com.winterchen.hadoopdemo.mapper.WordMapper; import com.winterchen.hadoopdemo.reduce.WordReduce; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.springframework.beans.factory.annotation.Value; import org.springframework.stereotype.Component; import javax.annotation.PostConstruct; import java.io.IOException; @Component public class ReduceJobsConfiguration { @Value("${hdfs.hdfsPath}") private String hdfsPath; /** * 获取HDFS配置信息 * * @return */ public Configuration getConfiguration() { Configuration configuration = new Configuration(); configuration.set("fs.defaultFS", hdfsPath); configuration.set("mapred.job.tracker", hdfsPath); return configuration; } /** * 获取单词统计的配置信息 * * @param jobName * @param inputPath * @param outputPath * @throws IOException * @throws ClassNotFoundException * @throws InterruptedException */ public void getWordCountJobsConf(String jobName, String inputPath, String outputPath) throws IOException, ClassNotFoundException, InterruptedException { Configuration conf = getConfiguration(); Job job = Job.getInstance(conf, jobName); job.setMapperClass(WordMapper.class); job.setCombinerClass(WordReduce.class); job.setJarByClass(HadoopDemoApplication.class); job.setReducerClass(WordReduce.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); FileInputFormat.addInputPath(job, new Path(inputPath)); FileOutputFormat.setOutputPath(job, new Path(outputPath)); job.waitForCompletion(true); } @PostConstruct public void getPath() { hdfsPath = this.hdfsPath; } public String getHdfsPath() { return hdfsPath; } } |
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public interface MapReduceService { void wordCount(String jobName, String inputPath, String outputPath) throws Exception; } |
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package com.winterchen.hadoopdemo.service.impl; import com.winterchen.hadoopdemo.configuration.ReduceJobsConfiguration; import com.winterchen.hadoopdemo.service.HDFSService; import com.winterchen.hadoopdemo.service.MapReduceService; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Service; import org.springframework.util.StringUtils; @Service public class MapReduceServiceImpl implements MapReduceService { @Autowired private HDFSService hdfsService; @Autowired private ReduceJobsConfiguration reduceJobsConfiguration; @Override public void wordCount(String jobName, String inputPath, String outputPath) throws Exception { if (StringUtils.isEmpty(jobName) || StringUtils.isEmpty(inputPath)) { return; } // 输出目录 = output/当前Job,如果输出路径存在则删除,保证每次都是最新的 if (hdfsService.existFile(outputPath)) { hdfsService.deleteFile(outputPath); } reduceJobsConfiguration.getWordCountJobsConf(jobName, inputPath, outputPath); } } |
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package com.winterchen.hadoopdemo.service.impl; import com.winterchen.hadoopdemo.configuration.ReduceJobsConfiguration; import com.winterchen.hadoopdemo.service.HDFSService; import com.winterchen.hadoopdemo.service.MapReduceService; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Service; import org.springframework.util.StringUtils; @Service public class MapReduceServiceImpl implements MapReduceService { @Autowired private HDFSService hdfsService; @Autowired private ReduceJobsConfiguration reduceJobsConfiguration; @Override public void wordCount(String jobName, String inputPath, String outputPath) throws Exception { if (StringUtils.isEmpty(jobName) || StringUtils.isEmpty(inputPath)) { return; } // 输出目录 = output/当前Job,如果输出路径存在则删除,保证每次都是最新的 if (hdfsService.existFile(outputPath)) { hdfsService.deleteFile(outputPath); } reduceJobsConfiguration.getWordCountJobsConf(jobName, inputPath, outputPath); } } |
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@Slf4j @Api(tags = "map reduce api") @RestController @RequestMapping("/api/v1/map-reduce") public class MapReduceController { @Autowired private MapReduceService mapReduceService; @ApiOperation("count word") @PostMapping("/word/count") public APIResponse wordCount( @ApiParam(name = "jobName", required = true) @RequestParam(name = "jobName", required = true) String jobName, @ApiParam(name = "inputPath", required = true) @RequestParam(name = "inputPath", required = true) String inputPath, @ApiParam(name = "outputPath", required = true) @RequestParam(name = "outputPath", required = true) String outputPath ){ try { mapReduceService.wordCount(jobName, inputPath, outputPath); return APIResponse.success(); } catch (Exception e) { log.error(e.getMessage()); return APIResponse.fail(e.getMessage()); } } } |
以上就是日常开发中能使用到的基本的功能:hdfs的增删改查,以及MapReduce;
源码地址:
WinterChenS/springboot-learning-experience
from:https://blog.csdn.net/Winter_chen001/article/details/110449133