Java ConfigurationUtil.mergeConf方法代码示例

import org.apache.pig.backend.hadoop.datastorage.ConfigurationUtil; //导入方法依赖的package包/类
@Override
public void initialize(InputSplit split, TaskAttemptContext context)
        throws IOException, InterruptedException {
    // initialize the underlying actual RecordReader with the right Context 
    // object - this is achieved by merging the Context corresponding to 
    // the input split this Reader is supposed to process with the context
    // passed in.
    this.pigSplit = (PigSplit)split;
    this.context = context;
    ConfigurationUtil.mergeConf(context.getConfiguration(),
            inputSpecificConf);
    // Pass loader signature to LoadFunc and to InputFormat through
    // the conf
    PigInputFormat.passLoadSignature(loadfunc, pigSplit.getInputIndex(), 
            context.getConfiguration());
    // now invoke initialize() on underlying RecordReader with
    // the "adjusted" conf
    if (null != curReader) {
        curReader.initialize(pigSplit.getWrappedSplit(), context);
        loadfunc.prepareToRead(curReader, pigSplit);
    }
            
    if (pigSplit.isMultiInputs() && !pigSplit.disableCounter()) { 
        counterName = getMultiInputsCounerName(pigSplit, inputSpecificConf);
    }
}
 

import org.apache.pig.backend.hadoop.datastorage.ConfigurationUtil; //导入方法依赖的package包/类
/**
 * Before delegating calls to underlying OutputFormat or OutputCommitter
 * Pig needs to ensure the Configuration in the JobContext contains
 * the output location and StoreFunc 
 * for the specific store - so set these up in the context for this specific 
 * store
 * @param jobContext the {@link JobContext}
 * @param store the POStore
 * @throws IOException on failure
 */
public static void setLocation(JobContext jobContext, POStore store) throws 
IOException {
    Job storeJob = new Job(jobContext.getConfiguration());
    StoreFuncInterface storeFunc = store.getStoreFunc();
    String outputLocation = store.getSFile().getFileName();
    storeFunc.setStoreLocation(outputLocation, storeJob);
    
    // the setStoreLocation() method would indicate to the StoreFunc
    // to set the output location for its underlying OutputFormat.
    // Typically OutputFormat's store the output location in the
    // Configuration - so we need to get the modified Configuration
    // containing the output location (and any other settings the
    // OutputFormat might have set) and merge it with the Configuration
    // we started with so that when this method returns the Configuration
    // supplied as input has the updates.
    ConfigurationUtil.mergeConf(jobContext.getConfiguration(), 
            storeJob.getConfiguration());
}
 

import org.apache.pig.backend.hadoop.datastorage.ConfigurationUtil; //导入方法依赖的package包/类
/**
 * Before delegating calls to underlying OutputFormat or OutputCommitter
 * Pig needs to ensure the Configuration in the JobContext contains
 * the output location and StoreFunc
 * for the specific store - so set these up in the context for this specific
 * store
 * @param jobContext the {@link JobContext}
 * @param store the POStore
 * @throws IOException on failure
 */
public static void setLocation(JobContext jobContext, POStore store) throws
IOException {
    Job storeJob = new Job(jobContext.getConfiguration());
    StoreFuncInterface storeFunc = store.getStoreFunc();
    String outputLocation = store.getSFile().getFileName();
    storeFunc.setStoreLocation(outputLocation, storeJob);

    // the setStoreLocation() method would indicate to the StoreFunc
    // to set the output location for its underlying OutputFormat.
    // Typically OutputFormat's store the output location in the
    // Configuration - so we need to get the modified Configuration
    // containing the output location (and any other settings the
    // OutputFormat might have set) and merge it with the Configuration
    // we started with so that when this method returns the Configuration
    // supplied as input has the updates.
    ConfigurationUtil.mergeConf(jobContext.getConfiguration(),
            storeJob.getConfiguration());
}
 

import org.apache.pig.backend.hadoop.datastorage.ConfigurationUtil; //导入方法依赖的package包/类
/**
 * get the corresponding configuration for the input on which the split
 * is based and merge it with the Conf supplied
 * 
 * package level access so that this is not publicly used elsewhere
 * @throws IOException 
 */
static void mergeSplitSpecificConf(LoadFunc loadFunc, PigSplit pigSplit, Configuration originalConf) 
throws IOException {
    // set up conf with entries from input specific conf
    Job job = new Job(originalConf);
    loadFunc.setLocation(getLoadLocation(pigSplit.getInputIndex(), 
            originalConf), job);
    // The above setLocation call could write to the conf within
    // the job - merge that updated conf with original conf
    ConfigurationUtil.mergeConf(originalConf, job.getConfiguration());
    
}
 

import org.apache.pig.backend.hadoop.datastorage.ConfigurationUtil; //导入方法依赖的package包/类
static void setHdfsServers(String absolutePath, PigContext pigContext) throws URISyntaxException {
    // Get native host
    String defaultFS = (String)pigContext.getProperties().get("fs.default.name");
    if (defaultFS==null)
        defaultFS = (String)pigContext.getProperties().get("fs.defaultFS");

    URI defaultFSURI = new URI(defaultFS);

    Configuration conf = new Configuration(true);
    ConfigurationUtil.mergeConf(conf, ConfigurationUtil.toConfiguration(pigContext.getProperties()));
    Set<String> remoteHosts = getRemoteHosts(absolutePath, defaultFSURI, conf);

    String hdfsServersString = (String)pigContext.getProperties().get(MRConfiguration.JOB_HDFS_SERVERS);
    if (hdfsServersString == null) hdfsServersString = "";
    String hdfsServers[] = hdfsServersString.split(",");

    for (String remoteHost : remoteHosts) {
        boolean existing = false;
        for (String hdfsServer : hdfsServers) {
            if (hdfsServer.equals(remoteHost)) {
                existing = true;
            }
        }
        if (!existing) {
            if (!hdfsServersString.isEmpty()) {
                hdfsServersString = hdfsServersString + ",";
            }
            hdfsServersString = hdfsServersString + remoteHost;
        }
    }

    if (!hdfsServersString.isEmpty()) {
        pigContext.getProperties().setProperty(MRConfiguration.JOB_HDFS_SERVERS, hdfsServersString);
    }
}
 

import org.apache.pig.backend.hadoop.datastorage.ConfigurationUtil; //导入方法依赖的package包/类
/**
 * get the corresponding configuration for the input on which the split
 * is based and merge it with the Conf supplied
 *
 * package level access so that this is not publicly used elsewhere
 * @throws IOException
 */
static void mergeSplitSpecificConf(LoadFunc loadFunc, PigSplit pigSplit, Configuration originalConf)
        throws IOException {
    // set up conf with entries from input specific conf
    Job job = new Job(originalConf);
    loadFunc.setLocation(getLoadLocation(pigSplit.getInputIndex(),
            originalConf), job);
    // The above setLocation call could write to the conf within
    // the job - merge that updated conf with original conf
    ConfigurationUtil.mergeConf(originalConf, job.getConfiguration());

}
 

import org.apache.pig.backend.hadoop.datastorage.ConfigurationUtil; //导入方法依赖的package包/类
@Override
public void initialize(InputSplit split, TaskAttemptContext context)
        throws IOException, InterruptedException {
    // initialize the underlying actual RecordReader with the right Context
    // object - this is achieved by merging the Context corresponding to
    // the input split this Reader is supposed to process with the context
    // passed in.
    this.pigSplit = (PigSplit)split;
    this.context = context;
    ConfigurationUtil.mergeConf(context.getConfiguration(),
            inputSpecificConf);
    // Pass loader signature to LoadFunc and to InputFormat through
    // the conf
    PigInputFormat.passLoadSignature(loadfunc, pigSplit.getInputIndex(),
            context.getConfiguration());
    // now invoke initialize() on underlying RecordReader with
    // the "adjusted" conf
    if (null != curReader) {
        curReader.initialize(pigSplit.getWrappedSplit(), context);
        loadfunc.prepareToRead(curReader, pigSplit);
    }
    if (pigSplit.isMultiInputs() && !pigSplit.disableCounter()) {
        counterName = getMultiInputsCounerName(pigSplit, inputSpecificConf);
        if (counterName != null) {
            // Create the counter. This is needed because incrCounter() may
            // never be called in case of empty file.
            reporter.incrCounter(PigStatsUtil.MULTI_INPUTS_COUNTER_GROUP, counterName, 0);
        }
    }
}
 

import org.apache.pig.backend.hadoop.datastorage.ConfigurationUtil; //导入方法依赖的package包/类
/**
 * Copies the files from remote to local filesystem.
 * When 'multipleFiles' is set the path could point to multiple files
 * through globs or a directory. In this case, return array contains multiple
 * files, otherwise a single file is returned.
 *
 * If pig.jars.relative.to.dfs is true then a relative path is assumed to be
 * relative to the default filesystem's active directory.
 * Else they are assumed to be relative to the local working directory.
 *
 * @param properties
 * @param filePath
 * @param multipleFiles
 * @return
 */
private static FetchFileRet[] fetchFilesInternal(Properties properties,
                                        String filePath,
                                        boolean multipleFiles) throws IOException {

    Path path = new Path(filePath);
    URI uri = path.toUri();
    Configuration conf = new Configuration();
    ConfigurationUtil.mergeConf(conf, ConfigurationUtil.toConfiguration(properties));

    // if there is no schema or if the schema is "local", then it is
    // expected to be a local path.

    FileSystem localFs = FileSystem.getLocal(conf);
    FileSystem srcFs;
    if ( (!"true".equals(properties.getProperty("pig.jars.relative.to.dfs"))
            && uri.getScheme() == null )||
            uri.getScheme().equals("local") ) {
        srcFs = localFs;
    } else {
        srcFs = path.getFileSystem(conf);
    }

    FileStatus[] files;

    if (multipleFiles) {
        files = srcFs.globStatus(path);
    } else {
        files = new FileStatus[]{ srcFs.getFileStatus(path) };
    }
    if (files == null || files.length == 0) {
        throw new ExecException("file '" + filePath + "' does not exist.", 101, PigException.INPUT);
    }

    FetchFileRet[] fetchFiles = new FetchFileRet[files.length];
    int idx = 0;

    for(FileStatus file : files) {
        // should throw an exception if this is not a file?

        String pathname = file.getPath().toUri().getPath();
        String filename = file.getPath().getName();

        if (srcFs == localFs) {
            fetchFiles[idx++] = new FetchFileRet(new File(pathname), false);
        } else {
            // fetch from remote:
            File dest = new File(localTempDir, filename);
            dest.deleteOnExit();
            try {
                srcFs.copyToLocalFile(file.getPath(), new Path(dest.getAbsolutePath()));
            } catch (IOException e) {
                throw new ExecException("Could not copy " + filePath + " to local destination " + dest, 101, PigException.INPUT, e);
            }
            fetchFiles[idx++] = new FetchFileRet(dest, true);
        }
    }

    return fetchFiles;
}
 

import org.apache.pig.backend.hadoop.datastorage.ConfigurationUtil; //导入方法依赖的package包/类
/**
 * Copies the files from remote to local filesystem.
 * When 'multipleFiles' is set the path could point to multiple files
 * through globs or a directory. In this case, return array contains multiple
 * files, otherwise a single file is returned.
 *
 * If pig.jars.relative.to.dfs is true then a relative path is assumed to be
 * relative to the default filesystem's active directory.
 * Else they are assumed to be relative to the local working directory.
 *
 * @param properties
 * @param filePath
 * @param multipleFiles
 * @return
 */
private static FetchFileRet[] fetchFilesInternal(Properties properties,
                                        String filePath,
                                        boolean multipleFiles) throws IOException {

    Path path = new Path(filePath);
    if (path.getName().isEmpty()) {
        return new FetchFileRet[0];
    }
    URI uri = path.toUri();
    Configuration conf = new Configuration();
    ConfigurationUtil.mergeConf(conf, ConfigurationUtil.toConfiguration(properties));

    // if there is no schema or if the schema is "local", then it is
    // expected to be a local path.

    FileSystem localFs = FileSystem.getLocal(conf);
    FileSystem srcFs;
    if ( (!"true".equals(properties.getProperty("pig.jars.relative.to.dfs"))
            && uri.getScheme() == null )||
            // For Windows local files
            (uri.getScheme() == null && uri.getPath().matches("^/[A-Za-z]:.*")) ||
            (uri.getScheme() != null && uri.getScheme().equals("local"))
        ) {
        srcFs = localFs;
    } else {
        srcFs = path.getFileSystem(conf);
    }

    FileStatus[] files;

    if (multipleFiles) {
        files = srcFs.globStatus(path);
    } else {
        files = new FileStatus[]{ srcFs.getFileStatus(path) };
    }
    if (files == null || files.length == 0) {
        throw new ExecException("file '" + filePath + "' does not exist.", 101, PigException.INPUT);
    }

    FetchFileRet[] fetchFiles = new FetchFileRet[files.length];
    int idx = 0;

    for(FileStatus file : files) {
        // should throw an exception if this is not a file?

        String pathname = file.getPath().toUri().getPath();
        String filename = file.getPath().getName();

        if (srcFs == localFs) {
            fetchFiles[idx++] = new FetchFileRet(new File(pathname), false);
        } else {
            // fetch from remote:
            File dest = new File(localTempDir, filename);
            dest.deleteOnExit();
            try {
                srcFs.copyToLocalFile(file.getPath(), new Path(dest.getAbsolutePath()));
            } catch (IOException e) {
                throw new ExecException("Could not copy " + filePath + " to local destination " + dest, 101, PigException.INPUT, e);
            }
            fetchFiles[idx++] = new FetchFileRet(dest, true);
        }
    }

    return fetchFiles;
}
 

import org.apache.pig.backend.hadoop.datastorage.ConfigurationUtil; //导入方法依赖的package包/类
@SuppressWarnings("resource")
private void init(Properties properties) throws ExecException {
    String cluster = null;
    String nameNode = null;

    // We need to build a configuration object first in the manner described
    // below and then get back a properties object to inspect the
    // JOB_TRACKER_LOCATION and FILE_SYSTEM_LOCATION. The reason to do this
    // is if we looked only at the existing properties object, we may not
    // get the right settings. So we want to read the configurations in the
    // order specified below and only then look for JOB_TRACKER_LOCATION and
    // FILE_SYSTEM_LOCATION.

    // Hadoop by default specifies two resources, loaded in-order from the
    // classpath:
    // 1. hadoop-default.xml : Read-only defaults for hadoop.
    // 2. hadoop-site.xml: Site-specific configuration for a given hadoop
    // installation.
    // Now add the settings from "properties" object to override any
    // existing properties All of the above is accomplished in the method
    // call below

    JobConf jc = getS3Conf();
    if (!this.pigContext.getExecType().isLocal()) {
        JobConf execConf = getExecConf(properties);
        ConfigurationUtil.mergeConf(jc, execConf);

        // Trick to invoke static initializer of DistributedFileSystem to
        // add hdfs-default.xml into configuration
        new DistributedFileSystem();
    } else {
        // If we are running in local mode we dont read the hadoop conf file
        if (properties.getProperty(MRConfiguration.FRAMEWORK_NAME) == null) {
            properties.setProperty(MRConfiguration.FRAMEWORK_NAME, LOCAL);
        }
        properties.setProperty(MRConfiguration.JOB_TRACKER, LOCAL);
        properties.setProperty(FILE_SYSTEM_LOCATION, "file:///");
        properties.setProperty(ALTERNATIVE_FILE_SYSTEM_LOCATION, "file:///");

        JobConf localConf = getLocalConf();
        ConfigurationUtil.mergeConf(jc, localConf);
    }

    // the method below alters the properties object by overriding the
    // hadoop properties with the values from properties and recomputing
    // the properties
    Utils.recomputeProperties(jc, properties);

    cluster = jc.get(MRConfiguration.JOB_TRACKER);
    nameNode = jc.get(FILE_SYSTEM_LOCATION);
    if (nameNode == null) {
        nameNode = (String) pigContext.getProperties().get(ALTERNATIVE_FILE_SYSTEM_LOCATION);
    }

    if (cluster != null && cluster.length() > 0) {
        if (!cluster.contains(":") && !cluster.equalsIgnoreCase(LOCAL)) {
            cluster = cluster + ":50020";
        }
        properties.setProperty(MRConfiguration.JOB_TRACKER, cluster);
    }

    if (nameNode != null && nameNode.length() > 0) {
        if (!nameNode.contains(":") && !nameNode.equalsIgnoreCase(LOCAL)) {
            nameNode = nameNode + ":8020";
        }
        properties.setProperty(FILE_SYSTEM_LOCATION, nameNode);
    }

    LOG.info("Connecting to hadoop file system at: "
            + (nameNode == null ? LOCAL : nameNode));
    // constructor sets DEFAULT_REPLICATION_FACTOR_KEY
    ds = new HDataStorage(properties);

    if (cluster != null && !cluster.equalsIgnoreCase(LOCAL)) {
        LOG.info("Connecting to map-reduce job tracker at: "
                + jc.get(MRConfiguration.JOB_TRACKER));
    }
}