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Java BaseConfiguration.setDelimiterParsingDisabled方法代碼示例

本文整理匯總了Java中org.apache.commons.configuration.BaseConfiguration.setDelimiterParsingDisabled方法的典型用法代碼示例。如果您正苦於以下問題：Java BaseConfiguration.setDelimiterParsingDisabled方法的具體用法？Java BaseConfiguration.setDelimiterParsingDisabled怎麽用？Java BaseConfiguration.setDelimiterParsingDisabled使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類org.apache.commons.configuration.BaseConfiguration的用法示例。


在下文中一共展示了BaseConfiguration.setDelimiterParsingDisabled方法的10個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。

示例1: open

import org.apache.commons.configuration.BaseConfiguration; //導入方法依賴的package包/類
public static TorcGraph open(String graphName) {
  Map<String, String> env = System.getenv();

  BaseConfiguration config = new BaseConfiguration();
  config.setDelimiterParsingDisabled(true);
  config.setProperty(TorcGraph.CONFIG_GRAPH_NAME, graphName);
  config.setProperty(TorcGraph.CONFIG_COORD_LOCATOR,
      env.get("RAMCLOUD_COORDINATOR_LOCATOR"));

  if (env.containsKey("RAMCLOUD_SERVERS")) {
    config.setProperty(TorcGraph.CONFIG_NUM_MASTER_SERVERS,
        env.get("RAMCLOUD_SERVERS"));
  }

  return open(config);
}
開發者ID:PlatformLab，項目名稱:TorcDB，代碼行數:17，代碼來源:TorcGraph.java

示例2: program

import org.apache.commons.configuration.BaseConfiguration; //導入方法依賴的package包/類
@Override
public GraphComputer program(final VertexProgram vertexProgram) {
    super.program(vertexProgram);
    this.memory.addVertexProgramMemoryComputeKeys(this.vertexProgram);
    final BaseConfiguration apacheConfiguration = new BaseConfiguration();
    apacheConfiguration.setDelimiterParsingDisabled(true);
    vertexProgram.storeState(apacheConfiguration);
    IteratorUtils.fill(apacheConfiguration.getKeys(), this.vertexProgramConfigurationKeys);
    ConfUtil.mergeApacheIntoHadoopConfiguration(apacheConfiguration, this.giraphConfiguration);
    this.vertexProgram.getMessageCombiner().ifPresent(combiner -> this.giraphConfiguration.setMessageCombinerClass(GiraphMessageCombiner.class));
    return this;
}
開發者ID:PKUSilvester，項目名稱:LiteGraph，代碼行數:13，代碼來源:GiraphGraphComputer.java

示例3: makeApacheConfiguration

import org.apache.commons.configuration.BaseConfiguration; //導入方法依賴的package包/類
private static Configuration makeApacheConfiguration(final SparkConf sparkConfiguration) {
    final BaseConfiguration apacheConfiguration = new BaseConfiguration();
    apacheConfiguration.setDelimiterParsingDisabled(true);
    for (final Tuple2<String, String> tuple : sparkConfiguration.getAll()) {
        apacheConfiguration.setProperty(tuple._1(), tuple._2());
    }
    return apacheConfiguration;
}
開發者ID:PKUSilvester，項目名稱:LiteGraph，代碼行數:9，代碼來源:GryoSerializer.java

示例4: getBaseConfiguration

import org.apache.commons.configuration.BaseConfiguration; //導入方法依賴的package包/類
protected Configuration getBaseConfiguration() {
    final BaseConfiguration configuration = new BaseConfiguration();
    configuration.setDelimiterParsingDisabled(true);
    configuration.setProperty("spark.master", "local[4]");
    configuration.setProperty(Constants.SPARK_SERIALIZER, GryoSerializer.class.getCanonicalName());
    configuration.setProperty("spark.kryo.registrationRequired", true);
    configuration.setProperty(Graph.GRAPH, HadoopGraph.class.getName());
    configuration.setProperty(Constants.GREMLIN_HADOOP_JARS_IN_DISTRIBUTED_CACHE, false);
    return configuration;
}
開發者ID:PKUSilvester，項目名稱:LiteGraph，代碼行數:11，代碼來源:AbstractSparkTest.java

示例5: TitanDbConnectionState

import org.apache.commons.configuration.BaseConfiguration; //導入方法依賴的package包/類
public TitanDbConnectionState(Map<String, String> props) {
  BaseConfiguration config = new BaseConfiguration();
  config.setDelimiterParsingDisabled(true);

  /*
   * Extract parameters from properties map.
   */
  String cassandraLocator;
  if (props.containsKey("cassandraLocator")) {
    cassandraLocator = props.get("cassandraLocator");
  } else {
    cassandraLocator = "127.0.0.1";
  }

  String graphName;
  if (props.containsKey("graphName")) {
    graphName = props.get("graphName");
  } else {
    graphName = "default";
  }
  
  config.setProperty("storage.backend", "cassandra");
  config.setProperty("storage.hostname", cassandraLocator);
  config.setProperty("storage.cassandra.keyspace", graphName);

  client = TitanFactory.open(config);
}
開發者ID:PlatformLab，項目名稱:ldbc-snb-impls，代碼行數:28，代碼來源:TitanDbConnectionState.java

示例6: TorcDbConnectionState

import org.apache.commons.configuration.BaseConfiguration; //導入方法依賴的package包/類
public TorcDbConnectionState(Map<String, String> props) {
  BaseConfiguration config = new BaseConfiguration();
  config.setDelimiterParsingDisabled(true);
  
  /*
   * Extract parameters from properties map.
   */
  String coordinatorLocator;
  if (props.containsKey("coordinatorLocator")) {
    coordinatorLocator = props.get("coordinatorLocator");
  } else {
    coordinatorLocator = "tcp:host=127.0.0.1,port=12246";
  }

  String graphName;
  if (props.containsKey("graphName")) {
    graphName = props.get("graphName");
  } else {
    graphName = "default";
  }
  
  config.setProperty(
      TorcGraph.CONFIG_COORD_LOCATOR,
      coordinatorLocator);
  
  config.setProperty(
      TorcGraph.CONFIG_GRAPH_NAME,
      graphName);

  this.client = TorcGraph.open(config);
}
開發者ID:PlatformLab，項目名稱:ldbc-snb-impls，代碼行數:32，代碼來源:TorcDbConnectionState.java

示例7: getSystemPropertiesConfiguration

import org.apache.commons.configuration.BaseConfiguration; //導入方法依賴的package包/類
/**
 * Generate a {@link Configuration} from the {@link System#getProperties}.
 * Only those properties with specified prefix key are aggregated.
 * If the prefix and a . should be removed, then trim prefix.
 *
 * @param prefix     the prefix of the keys to include in the configuration
 * @param trimPrefix whether to trim the prefix + . from the key
 * @return a configuration generated from the System properties
 */
public static Configuration getSystemPropertiesConfiguration(final String prefix, final boolean trimPrefix) {
    final BaseConfiguration apacheConfiguration = new BaseConfiguration();
    apacheConfiguration.setDelimiterParsingDisabled(true);
    for (final Map.Entry<Object, Object> entry : System.getProperties().entrySet()) {
        final String key = entry.getKey().toString();
        final Object value = entry.getValue();
        if (key.startsWith(prefix + "."))
            apacheConfiguration.setProperty(trimPrefix ? key.substring(prefix.length() + 1) : key, value);
    }
    return apacheConfiguration;
}
開發者ID:apache，項目名稱:tinkerpop，代碼行數:21，代碼來源:SystemUtil.java

示例8: getBaseConfiguration

import org.apache.commons.configuration.BaseConfiguration; //導入方法依賴的package包/類
protected Configuration getBaseConfiguration() {
    final BaseConfiguration configuration = new BaseConfiguration();
    configuration.setDelimiterParsingDisabled(true);
    configuration.setProperty(SparkLauncher.SPARK_MASTER, "local[4]");
    configuration.setProperty(Constants.SPARK_SERIALIZER, GryoSerializer.class.getCanonicalName());
    configuration.setProperty(Constants.SPARK_KRYO_REGISTRATION_REQUIRED, true);
    configuration.setProperty(Graph.GRAPH, HadoopGraph.class.getName());
    configuration.setProperty(Constants.GREMLIN_HADOOP_JARS_IN_DISTRIBUTED_CACHE, false);
    return configuration;
}
開發者ID:apache，項目名稱:tinkerpop，代碼行數:11，代碼來源:AbstractSparkTest.java

示例9: makeApacheConfiguration

import org.apache.commons.configuration.BaseConfiguration; //導入方法依賴的package包/類
public static org.apache.commons.configuration.Configuration makeApacheConfiguration(final Configuration hadoopConfiguration) {
    final BaseConfiguration apacheConfiguration = new BaseConfiguration();
    apacheConfiguration.setDelimiterParsingDisabled(true);
    hadoopConfiguration.iterator().forEachRemaining(e -> apacheConfiguration.setProperty(e.getKey(), e.getValue()));
    return apacheConfiguration;
}
開發者ID:PKUSilvester，項目名稱:LiteGraph，代碼行數:7，代碼來源:ConfUtil.java

示例10: executeMapReduceJob

import org.apache.commons.configuration.BaseConfiguration; //導入方法依賴的package包/類
public static void executeMapReduceJob(final MapReduce mapReduce, final Memory.Admin memory, final Configuration configuration) throws IOException, ClassNotFoundException, InterruptedException {
    final Configuration newConfiguration = new Configuration(configuration);
    final boolean vertexProgramExists = newConfiguration.get(VertexProgram.VERTEX_PROGRAM, null) != null;
    if (vertexProgramExists) {
        newConfiguration.set(Constants.GREMLIN_HADOOP_GRAPH_READER, InputOutputHelper.getInputFormat((Class) newConfiguration.getClass(Constants.GREMLIN_HADOOP_GRAPH_WRITER, OutputFormat.class)).getCanonicalName());
        newConfiguration.unset(Constants.GREMLIN_HADOOP_GRAPH_FILTER);
    }
    final BaseConfiguration apacheConfiguration = new BaseConfiguration();
    apacheConfiguration.setDelimiterParsingDisabled(true);
    mapReduce.storeState(apacheConfiguration);
    ConfUtil.mergeApacheIntoHadoopConfiguration(apacheConfiguration, newConfiguration);

    final Optional<Comparator<?>> mapSort = mapReduce.getMapKeySort();
    final Optional<Comparator<?>> reduceSort = mapReduce.getReduceKeySort();
    newConfiguration.setClass(Constants.GREMLIN_HADOOP_MAP_REDUCE_CLASS, mapReduce.getClass(), MapReduce.class);
    final Job job = Job.getInstance(newConfiguration, mapReduce.toString());
    HadoopGraph.LOGGER.info(Constants.GREMLIN_HADOOP_JOB_PREFIX + mapReduce.toString());
    job.setJarByClass(HadoopGraph.class);
    if (mapSort.isPresent())
        job.setSortComparatorClass(ObjectWritableComparator.ObjectWritableMapComparator.class);
    job.setMapperClass(HadoopMap.class);
    if (mapReduce.doStage(MapReduce.Stage.REDUCE)) {
        if (mapReduce.doStage(MapReduce.Stage.COMBINE))
            job.setCombinerClass(HadoopCombine.class);
        job.setReducerClass(HadoopReduce.class);
    } else {
        if (mapSort.isPresent()) {
            job.setReducerClass(Reducer.class);
            job.setNumReduceTasks(1); // todo: is this necessary to ensure sorted order?
        } else {
            job.setNumReduceTasks(0);
        }
    }
    job.setMapOutputKeyClass(ObjectWritable.class);
    job.setMapOutputValueClass(ObjectWritable.class);
    job.setOutputKeyClass(ObjectWritable.class);
    job.setOutputValueClass(ObjectWritable.class);
    job.setInputFormatClass(GraphFilterInputFormat.class);
    job.setOutputFormatClass(SequenceFileOutputFormat.class);
    // if there is no vertex program, then grab the graph from the input location
    final Path graphPath;
    if (vertexProgramExists) {
        graphPath = new Path(Constants.getGraphLocation(newConfiguration.get(Constants.GREMLIN_HADOOP_OUTPUT_LOCATION)));
    } else {
        graphPath = new Path(newConfiguration.get(Constants.GREMLIN_HADOOP_INPUT_LOCATION));
    }

    Path memoryPath = new Path(Constants.getMemoryLocation(newConfiguration.get(Constants.GREMLIN_HADOOP_OUTPUT_LOCATION), (reduceSort.isPresent() ? mapReduce.getMemoryKey() + "-temp" : mapReduce.getMemoryKey())));
    if (FileSystem.get(newConfiguration).exists(memoryPath)) {
        FileSystem.get(newConfiguration).delete(memoryPath, true);
    }
    FileInputFormat.setInputPaths(job, graphPath);
    FileOutputFormat.setOutputPath(job, memoryPath);
    job.waitForCompletion(true);

    // if there is a reduce sort, we need to run another identity MapReduce job
    if (reduceSort.isPresent()) {
        final Job reduceSortJob = Job.getInstance(newConfiguration, "ReduceKeySort");
        reduceSortJob.setSortComparatorClass(ObjectWritableComparator.ObjectWritableReduceComparator.class);
        reduceSortJob.setMapperClass(Mapper.class);
        reduceSortJob.setReducerClass(Reducer.class);
        reduceSortJob.setMapOutputKeyClass(ObjectWritable.class);
        reduceSortJob.setMapOutputValueClass(ObjectWritable.class);
        reduceSortJob.setOutputKeyClass(ObjectWritable.class);
        reduceSortJob.setOutputValueClass(ObjectWritable.class);
        reduceSortJob.setInputFormatClass(SequenceFileInputFormat.class);
        reduceSortJob.setOutputFormatClass(SequenceFileOutputFormat.class);
        reduceSortJob.setNumReduceTasks(1); // todo: is this necessary to ensure sorted order?
        FileInputFormat.setInputPaths(reduceSortJob, memoryPath);
        final Path sortedMemoryPath = new Path(Constants.getMemoryLocation(newConfiguration.get(Constants.GREMLIN_HADOOP_OUTPUT_LOCATION), mapReduce.getMemoryKey()));
        FileOutputFormat.setOutputPath(reduceSortJob, sortedMemoryPath);
        reduceSortJob.waitForCompletion(true);
        FileSystem.get(newConfiguration).delete(memoryPath, true); // delete the temporary memory path
        memoryPath = sortedMemoryPath;
    }
    mapReduce.addResultToMemory(memory, new ObjectWritableIterator(newConfiguration, memoryPath));
}
開發者ID:PKUSilvester，項目名稱:LiteGraph，代碼行數:78，代碼來源:MapReduceHelper.java


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