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Java TableMapReduceUtil.initCredentials方法代码示例

本文整理汇总了Java中org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil.initCredentials方法的典型用法代码示例。如果您正苦于以下问题：Java TableMapReduceUtil.initCredentials方法的具体用法？Java TableMapReduceUtil.initCredentials怎么用？Java TableMapReduceUtil.initCredentials使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil的用法示例。


在下文中一共展示了TableMapReduceUtil.initCredentials方法的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。

示例1: doLoad

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; //导入方法依赖的package包/类
protected Job doLoad(Configuration conf, HTableDescriptor htd) throws Exception {
  Path outputDir = getTestDir(TEST_NAME, "load-output");
  LOG.info("Load output dir: " + outputDir);

  NMapInputFormat.setNumMapTasks(conf, conf.getInt(NUM_MAP_TASKS_KEY, NUM_MAP_TASKS_DEFAULT));
  conf.set(TABLE_NAME_KEY, htd.getTableName().getNameAsString());

  Job job = Job.getInstance(conf);
  job.setJobName(TEST_NAME + " Load for " + htd.getTableName());
  job.setJarByClass(this.getClass());
  setMapperClass(job);
  job.setInputFormatClass(NMapInputFormat.class);
  job.setNumReduceTasks(0);
  setJobScannerConf(job);
  FileOutputFormat.setOutputPath(job, outputDir);

  TableMapReduceUtil.addDependencyJars(job);

  TableMapReduceUtil.addDependencyJars(job.getConfiguration(), AbstractHBaseTool.class);
  TableMapReduceUtil.initCredentials(job);
  assertTrue(job.waitForCompletion(true));
  return job;
}
开发者ID:fengchen8086，项目名称:ditb，代码行数:24，代码来源:IntegrationTestLoadAndVerify.java

示例2: doMapReduce

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; //导入方法依赖的package包/类
private void doMapReduce(final Class<? extends Test> cmd) throws IOException,
      InterruptedException, ClassNotFoundException {
  Configuration conf = getConf();
  Path inputDir = writeInputFile(conf);
  conf.set(EvaluationMapTask.CMD_KEY, cmd.getName());
  conf.set(EvaluationMapTask.PE_KEY, getClass().getName());
  Job job = Job.getInstance(conf);
  job.setJarByClass(PerformanceEvaluation.class);
  job.setJobName("HBase Performance Evaluation");

  job.setInputFormatClass(PeInputFormat.class);
  PeInputFormat.setInputPaths(job, inputDir);

  job.setOutputKeyClass(LongWritable.class);
  job.setOutputValueClass(LongWritable.class);

  job.setMapperClass(EvaluationMapTask.class);
  job.setReducerClass(LongSumReducer.class);
  job.setNumReduceTasks(1);

  job.setOutputFormatClass(TextOutputFormat.class);
  TextOutputFormat.setOutputPath(job, new Path(inputDir.getParent(), "outputs"));
  TableMapReduceUtil.addDependencyJars(job);
  TableMapReduceUtil.initCredentials(job);
  job.waitForCompletion(true);
}
开发者ID:fengchen8086，项目名称:ditb，代码行数:27，代码来源:PerformanceEvaluation.java

示例3: doLoad

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; //导入方法依赖的package包/类
private void doLoad(Configuration conf, HTableDescriptor htd) throws Exception {
  Path outputDir = getTestDir(TEST_NAME, "load-output");

  NMapInputFormat.setNumMapTasks(conf, conf.getInt(NUM_MAP_TASKS_KEY, NUM_MAP_TASKS_DEFAULT));
  conf.set(TABLE_NAME_KEY, htd.getNameAsString());

  Job job = new Job(conf);
  job.setJobName(TEST_NAME + " Load for " + htd.getNameAsString());
  job.setJarByClass(this.getClass());
  job.setMapperClass(LoadMapper.class);
  job.setInputFormatClass(NMapInputFormat.class);
  job.setNumReduceTasks(0);
  FileOutputFormat.setOutputPath(job, outputDir);

  TableMapReduceUtil.addDependencyJars(job);
  TableMapReduceUtil.addDependencyJars(
      job.getConfiguration(), HTable.class, Lists.class);
  TableMapReduceUtil.initCredentials(job);
  assertTrue(job.waitForCompletion(true));
}
开发者ID:fengchen8086，项目名称:LCIndex-HBase-0.94.16，代码行数:21，代码来源:IntegrationTestLoadAndVerify.java

示例4: doMapReduce

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; //导入方法依赖的package包/类
private void doMapReduce(final Class<? extends Test> cmd) throws IOException,
      InterruptedException, ClassNotFoundException {
  Configuration conf = getConf();
  Path inputDir = writeInputFile(conf);
  conf.set(EvaluationMapTask.CMD_KEY, cmd.getName());
  conf.set(EvaluationMapTask.PE_KEY, getClass().getName());
  Job job = new Job(conf);
  job.setJarByClass(PerformanceEvaluation.class);
  job.setJobName("HBase Performance Evaluation");

  job.setInputFormatClass(PeInputFormat.class);
  PeInputFormat.setInputPaths(job, inputDir);

  job.setOutputKeyClass(LongWritable.class);
  job.setOutputValueClass(LongWritable.class);

  job.setMapperClass(EvaluationMapTask.class);
  job.setReducerClass(LongSumReducer.class);
  job.setNumReduceTasks(1);

  job.setOutputFormatClass(TextOutputFormat.class);
  TextOutputFormat.setOutputPath(job, new Path(inputDir.getParent(), "outputs"));
  TableMapReduceUtil.addDependencyJars(job);
  TableMapReduceUtil.initCredentials(job);
  job.waitForCompletion(true);
}
开发者ID:tenggyut，项目名称:HIndex，代码行数:27，代码来源:PerformanceEvaluation.java

示例5: doLoad

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; //导入方法依赖的package包/类
protected Job doLoad(Configuration conf, HTableDescriptor htd) throws Exception {
  Path outputDir = getTestDir(TEST_NAME, "load-output");

  NMapInputFormat.setNumMapTasks(conf, conf.getInt(NUM_MAP_TASKS_KEY, NUM_MAP_TASKS_DEFAULT));
  conf.set(TABLE_NAME_KEY, htd.getTableName().getNameAsString());

  Job job = new Job(conf);
  job.setJobName(TEST_NAME + " Load for " + htd.getTableName());
  job.setJarByClass(this.getClass());
  setMapperClass(job);
  job.setInputFormatClass(NMapInputFormat.class);
  job.setNumReduceTasks(0);
  setJobScannerConf(job);
  FileOutputFormat.setOutputPath(job, outputDir);

  TableMapReduceUtil.addDependencyJars(job);

  TableMapReduceUtil.addDependencyJars(job.getConfiguration(), AbstractHBaseTool.class);
  TableMapReduceUtil.initCredentials(job);
  assertTrue(job.waitForCompletion(true));
  return job;
}
开发者ID:tenggyut，项目名称:HIndex，代码行数:23，代码来源:IntegrationTestLoadAndVerify.java

示例6: configureIncrementalLoadMap

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; //导入方法依赖的package包/类
public static void configureIncrementalLoadMap(Job job, Table table) throws IOException {
    Configuration conf = job.getConfiguration();

    job.setOutputKeyClass(ImmutableBytesWritable.class);
    job.setOutputValueClass(KeyValue.class);
    job.setOutputFormatClass(HFileOutputFormat3.class);

    // Set compression algorithms based on column families
    configureCompression(conf, table.getTableDescriptor());
    configureBloomType(table.getTableDescriptor(), conf);
    configureBlockSize(table.getTableDescriptor(), conf);
    HTableDescriptor tableDescriptor = table.getTableDescriptor();
    configureDataBlockEncoding(tableDescriptor, conf);

    TableMapReduceUtil.addDependencyJars(job);
    TableMapReduceUtil.initCredentials(job);
    LOG.info("Incremental table " + table.getName() + " output configured.");
}
开发者ID:apache，项目名称:kylin，代码行数:19，代码来源:HFileOutputFormat3.java

示例7: initTableMapperJob

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; //导入方法依赖的package包/类
public static void initTableMapperJob(String table, Scan scan,
    Class<? extends TableMapper> mapper,
    Class<? extends WritableComparable> outputKeyClass,
    Class<? extends Writable> outputValueClass, Job job,
    boolean addDependencyJars, Class<? extends InputFormat> inputFormatClass)
throws IOException {
  job.setInputFormatClass(inputFormatClass);
  if (outputValueClass != null) job.setMapOutputValueClass(outputValueClass);
  if (outputKeyClass != null) job.setMapOutputKeyClass(outputKeyClass);
  job.setMapperClass(mapper);
  Configuration conf = job.getConfiguration();
  HBaseConfiguration.merge(conf, HBaseConfiguration.create(conf));
  conf.set(TableInputFormat.INPUT_TABLE, table);
  conf.set(TableInputFormat.SCAN, convertScanToString(scan));
  if (addDependencyJars) {
    addDependencyJars(job);
  }
  TableMapReduceUtil.initCredentials(job);
}
开发者ID:XiaoMi，项目名称:themis，代码行数:20，代码来源:ThemisTableMapReduceUtil.java

示例8: doLoad

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; //导入方法依赖的package包/类
protected Job doLoad(Configuration conf, HTableDescriptor htd) throws Exception {
  Path outputDir = getTestDir(TEST_NAME, "load-output");
  LOG.info("Load output dir: " + outputDir);

  NMapInputFormat.setNumMapTasks(conf, conf.getInt(NUM_MAP_TASKS_KEY, NUM_MAP_TASKS_DEFAULT));
  conf.set(TABLE_NAME_KEY, htd.getTableName().getNameAsString());

  Job job = Job.getInstance(conf);
  job.setJobName(TEST_NAME + " Load for " + htd.getTableName());
  job.setJarByClass(this.getClass());
  setMapperClass(job);
  job.setInputFormatClass(NMapInputFormat.class);
  job.setNumReduceTasks(0);
  setJobScannerConf(job);
  FileOutputFormat.setOutputPath(job, outputDir);

  TableMapReduceUtil.addDependencyJars(job);

  TableMapReduceUtil.addDependencyJarsForClasses(job.getConfiguration(), AbstractHBaseTool.class);
  TableMapReduceUtil.initCredentials(job);
  assertTrue(job.waitForCompletion(true));
  return job;
}
开发者ID:apache，项目名称:hbase，代码行数:24，代码来源:IntegrationTestLoadAndVerify.java

示例9: doMapReduce

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; //导入方法依赖的package包/类
/**
 * Execute compaction, using a Map-Reduce job.
 */
private int doMapReduce(final FileSystem fs, final Set<Path> toCompactDirs,
    final boolean compactOnce, final boolean major) throws Exception {
  Configuration conf = getConf();
  conf.setBoolean(CONF_COMPACT_ONCE, compactOnce);
  conf.setBoolean(CONF_COMPACT_MAJOR, major);

  Job job = new Job(conf);
  job.setJobName("CompactionTool");
  job.setJarByClass(CompactionTool.class);
  job.setMapperClass(CompactionMapper.class);
  job.setInputFormatClass(CompactionInputFormat.class);
  job.setOutputFormatClass(NullOutputFormat.class);
  job.setMapSpeculativeExecution(false);
  job.setNumReduceTasks(0);

  // add dependencies (including HBase ones)
  TableMapReduceUtil.addDependencyJars(job);

  Path stagingDir = JobUtil.getStagingDir(conf);
  try {
    // Create input file with the store dirs
    Path inputPath = new Path(stagingDir, "compact-"+ EnvironmentEdgeManager.currentTime());
    CompactionInputFormat.createInputFile(fs, inputPath, toCompactDirs);
    CompactionInputFormat.addInputPath(job, inputPath);

    // Initialize credential for secure cluster
    TableMapReduceUtil.initCredentials(job);

    // Start the MR Job and wait
    return job.waitForCompletion(true) ? 0 : 1;
  } finally {
    fs.delete(stagingDir, true);
  }
}
开发者ID:fengchen8086，项目名称:ditb，代码行数:38，代码来源:CompactionTool.java

示例10: runGenerator

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; //导入方法依赖的package包/类
public int runGenerator(int numMappers, long numNodes, Path tmpOutput,
    Integer width, Integer wrapMuplitplier) throws Exception {
  LOG.info("Running Generator with numMappers=" + numMappers +", numNodes=" + numNodes);
  createSchema();
  Job job = Job.getInstance(getConf());

  job.setJobName("Link Generator");
  job.setNumReduceTasks(0);
  job.setJarByClass(getClass());

  FileInputFormat.setInputPaths(job, tmpOutput);
  job.setInputFormatClass(OneFilePerMapperSFIF.class);
  job.setOutputKeyClass(NullWritable.class);
  job.setOutputValueClass(NullWritable.class);

  setJobConf(job, numMappers, numNodes, width, wrapMuplitplier);

  setMapperForGenerator(job);

  job.setOutputFormatClass(NullOutputFormat.class);

  job.getConfiguration().setBoolean("mapreduce.map.speculative", false);
  TableMapReduceUtil.addDependencyJars(job);
  TableMapReduceUtil.addDependencyJars(job.getConfiguration(), AbstractHBaseTool.class);
  TableMapReduceUtil.initCredentials(job);

  boolean success = jobCompletion(job);

  return success ? 0 : 1;
}
开发者ID:fengchen8086，项目名称:ditb，代码行数:31，代码来源:IntegrationTestBigLinkedList.java

示例11: run

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; //导入方法依赖的package包/类
@Override
public int run(String[] args) throws Exception {
    if (args.length != 3) {
        System.err.println("Usage: bulkload [-D" + MRJobConfig.QUEUE_NAME + "=proofofconcepts] [-D" + SKIP_INVALID_PROPERTY + "=true] [-D" + SPLIT_BITS_PROPERTY + "=8] [-D" + DEFAULT_CONTEXT_PROPERTY + "=http://new_context] [-D" + OVERRIDE_CONTEXT_PROPERTY + "=true] <input_path(s)> <output_path> <table_name>");
        return -1;
    }
    TableMapReduceUtil.addDependencyJars(getConf(),
            NTriplesUtil.class,
            Rio.class,
            AbstractRDFHandler.class,
            RDFFormat.class,
            RDFParser.class);
    HBaseConfiguration.addHbaseResources(getConf());
    getConf().setLong(DEFAULT_TIMESTAMP_PROPERTY, getConf().getLong(DEFAULT_TIMESTAMP_PROPERTY, System.currentTimeMillis()));
    Job job = Job.getInstance(getConf(), "HalyardBulkLoad -> " + args[1] + " -> " + args[2]);
    job.setJarByClass(HalyardBulkLoad.class);
    job.setMapperClass(RDFMapper.class);
    job.setMapOutputKeyClass(ImmutableBytesWritable.class);
    job.setMapOutputValueClass(KeyValue.class);
    job.setInputFormatClass(RioFileInputFormat.class);
    job.setSpeculativeExecution(false);
    job.setReduceSpeculativeExecution(false);
    try (HTable hTable = HalyardTableUtils.getTable(getConf(), args[2], true, getConf().getInt(SPLIT_BITS_PROPERTY, 3))) {
        HFileOutputFormat2.configureIncrementalLoad(job, hTable.getTableDescriptor(), hTable.getRegionLocator());
        FileInputFormat.setInputDirRecursive(job, true);
        FileInputFormat.setInputPaths(job, args[0]);
        FileOutputFormat.setOutputPath(job, new Path(args[1]));
        TableMapReduceUtil.addDependencyJars(job);
        TableMapReduceUtil.initCredentials(job);
        if (job.waitForCompletion(true)) {
            if (getConf().getBoolean(TRUNCATE_PROPERTY, false)) {
                HalyardTableUtils.truncateTable(hTable).close();
            }
            new LoadIncrementalHFiles(getConf()).doBulkLoad(new Path(args[1]), hTable);
            LOG.info("Bulk Load Completed..");
            return 0;
        }
    }
    return -1;
}
开发者ID:Merck，项目名称:Halyard，代码行数:41，代码来源:HalyardBulkLoad.java

示例12: run

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; //导入方法依赖的package包/类
@Override
public int run(String[] args) throws Exception {
    if (args.length != 3) {
        System.err.println("Usage: hiveload -D" + RDF_MIME_TYPE_PROPERTY + "='application/ld+json' [-D" + MRJobConfig.QUEUE_NAME + "=proofofconcepts] [-D" + HIVE_DATA_COLUMN_INDEX_PROPERTY + "=3] [-D" + BASE_URI_PROPERTY + "='http://my_base_uri/'] [-D" + HalyardBulkLoad.SPLIT_BITS_PROPERTY + "=8] [-D" + HalyardBulkLoad.DEFAULT_CONTEXT_PROPERTY + "=http://new_context] [-D" + HalyardBulkLoad.OVERRIDE_CONTEXT_PROPERTY + "=true] <hive_table_name> <output_path> <hbase_table_name>");
        return -1;
    }
    TableMapReduceUtil.addDependencyJars(getConf(),
            NTriplesUtil.class,
            Rio.class,
            AbstractRDFHandler.class,
            RDFFormat.class,
            RDFParser.class);
    HBaseConfiguration.addHbaseResources(getConf());
    getConf().setLong(DEFAULT_TIMESTAMP_PROPERTY, getConf().getLong(DEFAULT_TIMESTAMP_PROPERTY, System.currentTimeMillis()));
    Job job = Job.getInstance(getConf(), "HalyardHiveLoad -> " + args[1] + " -> " + args[2]);
    int i = args[0].indexOf('.');
    HCatInputFormat.setInput(job, i > 0 ? args[0].substring(0, i) : null, args[0].substring(i + 1));
    job.setJarByClass(HalyardHiveLoad.class);
    job.setMapperClass(HiveMapper.class);
    job.setMapOutputKeyClass(ImmutableBytesWritable.class);
    job.setMapOutputValueClass(KeyValue.class);
    job.setInputFormatClass(HCatInputFormat.class);
    job.setSpeculativeExecution(false);
    job.setReduceSpeculativeExecution(false);
    try (HTable hTable = HalyardTableUtils.getTable(getConf(), args[2], true, getConf().getInt(HalyardBulkLoad.SPLIT_BITS_PROPERTY, 3))) {
        HFileOutputFormat2.configureIncrementalLoad(job, hTable.getTableDescriptor(), hTable.getRegionLocator());
        FileInputFormat.setInputDirRecursive(job, true);
        FileInputFormat.setInputPaths(job, args[0]);
        FileOutputFormat.setOutputPath(job, new Path(args[1]));
        TableMapReduceUtil.addDependencyJars(job);
        TableMapReduceUtil.initCredentials(job);
        if (job.waitForCompletion(true)) {
            new LoadIncrementalHFiles(getConf()).doBulkLoad(new Path(args[1]), hTable);
            LOG.info("Bulk Load Completed..");
            return 0;
        }
    }
    return -1;
}
开发者ID:Merck，项目名称:Halyard，代码行数:40，代码来源:HalyardHiveLoad.java

示例13: doMapReduce

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; //导入方法依赖的package包/类
/**
 * Execute compaction, using a Map-Reduce job.
 */
private int doMapReduce(final FileSystem fs, final Set<Path> toCompactDirs,
    final boolean compactOnce, final boolean major) throws Exception {
  Configuration conf = getConf();
  conf.setBoolean(CONF_COMPACT_ONCE, compactOnce);
  conf.setBoolean(CONF_COMPACT_MAJOR, major);

  Job job = new Job(conf);
  job.setJobName("CompactionTool");
  job.setJarByClass(CompactionTool.class);
  job.setMapperClass(CompactionMapper.class);
  job.setInputFormatClass(CompactionInputFormat.class);
  job.setOutputFormatClass(NullOutputFormat.class);
  job.setMapSpeculativeExecution(false);
  job.setNumReduceTasks(0);

  String stagingName = "compact-" + EnvironmentEdgeManager.currentTimeMillis();
  Path stagingDir = new Path(conf.get(CONF_TMP_DIR), stagingName);
  fs.mkdirs(stagingDir);
  try {
    // Create input file with the store dirs
    Path inputPath = new Path(stagingDir, stagingName);
    CompactionInputFormat.createInputFile(fs, inputPath, toCompactDirs);
    CompactionInputFormat.addInputPath(job, inputPath);

    // Initialize credential for secure cluster
    TableMapReduceUtil.initCredentials(job);

    // Start the MR Job and wait
    return job.waitForCompletion(true) ? 0 : 1;
  } finally {
    fs.delete(stagingDir, true);
  }
}
开发者ID:fengchen8086，项目名称:LCIndex-HBase-0.94.16，代码行数:37，代码来源:CompactionTool.java

示例14: doMapReduce

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; //导入方法依赖的package包/类
private void doMapReduce(final Class<? extends Test> cmd) throws IOException,
      InterruptedException, ClassNotFoundException {
  Path inputDir = writeInputFile(this.conf);
  this.conf.set(EvaluationMapTask.CMD_KEY, cmd.getName());
  this.conf.set(EvaluationMapTask.PE_KEY, getClass().getName());
  Job job = new Job(this.conf);
  job.setJarByClass(PerformanceEvaluation.class);
  job.setJobName("HBase Performance Evaluation");

  job.setInputFormatClass(PeInputFormat.class);
  PeInputFormat.setInputPaths(job, inputDir);

  job.setOutputKeyClass(LongWritable.class);
  job.setOutputValueClass(LongWritable.class);

  job.setMapperClass(EvaluationMapTask.class);
  job.setReducerClass(LongSumReducer.class);

  job.setNumReduceTasks(1);

  job.setOutputFormatClass(TextOutputFormat.class);
  TextOutputFormat.setOutputPath(job, new Path(inputDir,"outputs"));

  TableMapReduceUtil.addDependencyJars(job);
  // Add a Class from the hbase.jar so it gets registered too.
  TableMapReduceUtil.addDependencyJars(job.getConfiguration(),
    org.apache.hadoop.hbase.util.Bytes.class);

  TableMapReduceUtil.initCredentials(job);

  job.waitForCompletion(true);
}
开发者ID:fengchen8086，项目名称:LCIndex-HBase-0.94.16，代码行数:33，代码来源:PerformanceEvaluation.java

示例15: runGenerator

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; //导入方法依赖的package包/类
public int runGenerator(int numMappers, long numNodes, Path tmpOutput,
    Integer width, Integer wrapMuplitplier) throws Exception {
  LOG.info("Running Generator with numMappers=" + numMappers +", numNodes=" + numNodes);
  createSchema();

  Job job = new Job(getConf());

  job.setJobName("Link Generator");
  job.setNumReduceTasks(0);
  job.setJarByClass(getClass());

  FileInputFormat.setInputPaths(job, tmpOutput);
  job.setInputFormatClass(OneFilePerMapperSFIF.class);
  job.setOutputKeyClass(NullWritable.class);
  job.setOutputValueClass(NullWritable.class);

  setJobConf(job, numMappers, numNodes, width, wrapMuplitplier);

  job.setMapperClass(GeneratorMapper.class);

  job.setOutputFormatClass(NullOutputFormat.class);

  job.getConfiguration().setBoolean("mapred.map.tasks.speculative.execution", false);
  TableMapReduceUtil.addDependencyJars(job);
  TableMapReduceUtil.initCredentials(job);

  boolean success = job.waitForCompletion(true);

  return success ? 0 : 1;
}
开发者ID:fengchen8086，项目名称:LCIndex-HBase-0.94.16，代码行数:31，代码来源:IntegrationTestBigLinkedList.java


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