org.apache.hadoop.io.Stringifier Java Examples
The following examples show how to use
org.apache.hadoop.io.Stringifier.
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Example #1
Source File: Chain.java From RDFS with Apache License 2.0 | 6 votes |
/** * Creates a {@link JobConf} for one of the Maps or Reduce in the chain. * <p/> * It creates a new JobConf using the chain job's JobConf as base and adds to * it the configuration properties for the chain element. The keys of the * chain element jobConf have precedence over the given JobConf. * * @param jobConf the chain job's JobConf. * @param confKey the key for chain element configuration serialized in the * chain job's JobConf. * @return a new JobConf aggregating the chain job's JobConf with the chain * element configuration properties. */ private static JobConf getChainElementConf(JobConf jobConf, String confKey) { JobConf conf; try { Stringifier<JobConf> stringifier = new DefaultStringifier<JobConf>(jobConf, JobConf.class); conf = stringifier.fromString(jobConf.get(confKey, null)); } catch (IOException ioex) { throw new RuntimeException(ioex); } // we have to do this because the Writable desearialization clears all // values set in the conf making not possible do do a new JobConf(jobConf) // in the creation of the conf above jobConf = new JobConf(jobConf); for(Map.Entry<String, String> entry : conf) { jobConf.set(entry.getKey(), entry.getValue()); } return jobConf; }
Example #2
Source File: Chain.java From hadoop-gpu with Apache License 2.0 | 6 votes |
/** * Creates a {@link JobConf} for one of the Maps or Reduce in the chain. * <p/> * It creates a new JobConf using the chain job's JobConf as base and adds to * it the configuration properties for the chain element. The keys of the * chain element jobConf have precedence over the given JobConf. * * @param jobConf the chain job's JobConf. * @param confKey the key for chain element configuration serialized in the * chain job's JobConf. * @return a new JobConf aggregating the chain job's JobConf with the chain * element configuration properties. */ private static JobConf getChainElementConf(JobConf jobConf, String confKey) { JobConf conf; try { Stringifier<JobConf> stringifier = new DefaultStringifier<JobConf>(jobConf, JobConf.class); conf = stringifier.fromString(jobConf.get(confKey, null)); } catch (IOException ioex) { throw new RuntimeException(ioex); } // we have to do this because the Writable desearialization clears all // values set in the conf making not possible do do a new JobConf(jobConf) // in the creation of the conf above jobConf = new JobConf(jobConf); for(Map.Entry<String, String> entry : conf) { jobConf.set(entry.getKey(), entry.getValue()); } return jobConf; }
Example #3
Source File: Chain.java From RDFS with Apache License 2.0 | 4 votes |
/** * Sets the Reducer class to the chain job's JobConf. * <p/> * The configuration properties of the chain job have precedence over the * configuration properties of the Reducer. * * @param jobConf chain job's JobConf to add the Reducer class. * @param klass the Reducer class to add. * @param inputKeyClass reducer input key class. * @param inputValueClass reducer input value class. * @param outputKeyClass reducer output key class. * @param outputValueClass reducer output value class. * @param byValue indicates if key/values should be passed by value * to the next Mapper in the chain, if any. * @param reducerConf a JobConf with the configuration for the Reducer * class. It is recommended to use a JobConf without default values using the * <code>JobConf(boolean loadDefaults)</code> constructor with FALSE. */ public static <K1, V1, K2, V2> void setReducer(JobConf jobConf, Class<? extends Reducer<K1, V1, K2, V2>> klass, Class<? extends K1> inputKeyClass, Class<? extends V1> inputValueClass, Class<? extends K2> outputKeyClass, Class<? extends V2> outputValueClass, boolean byValue, JobConf reducerConf) { String prefix = getPrefix(false); if (jobConf.getClass(prefix + CHAIN_REDUCER_CLASS, null) != null) { throw new IllegalStateException("Reducer has been already set"); } jobConf.setClass(prefix + CHAIN_REDUCER_CLASS, klass, Reducer.class); // if the Reducer does not have a private JobConf create an empty one if (reducerConf == null) { // using a JobConf without defaults to make it lightweight. // still the chain JobConf may have all defaults and this conf is // overlapped to the chain JobConf one. reducerConf = new JobConf(false); } // store in the private reducer conf the input/output classes of the reducer // and if it works by value or by reference reducerConf.setBoolean(MAPPER_BY_VALUE, byValue); reducerConf.setClass(REDUCER_INPUT_KEY_CLASS, inputKeyClass, Object.class); reducerConf.setClass(REDUCER_INPUT_VALUE_CLASS, inputValueClass, Object.class); reducerConf.setClass(REDUCER_OUTPUT_KEY_CLASS, outputKeyClass, Object.class); reducerConf.setClass(REDUCER_OUTPUT_VALUE_CLASS, outputValueClass, Object.class); // serialize the private mapper jobconf in the chain jobconf. Stringifier<JobConf> stringifier = new DefaultStringifier<JobConf>(jobConf, JobConf.class); try { jobConf.set(prefix + CHAIN_REDUCER_CONFIG, stringifier.toString(new JobConf(reducerConf))); } catch (IOException ioEx) { throw new RuntimeException(ioEx); } }
Example #4
Source File: Chain.java From hadoop-gpu with Apache License 2.0 | 4 votes |
/** * Sets the Reducer class to the chain job's JobConf. * <p/> * The configuration properties of the chain job have precedence over the * configuration properties of the Reducer. * * @param jobConf chain job's JobConf to add the Reducer class. * @param klass the Reducer class to add. * @param inputKeyClass reducer input key class. * @param inputValueClass reducer input value class. * @param outputKeyClass reducer output key class. * @param outputValueClass reducer output value class. * @param byValue indicates if key/values should be passed by value * to the next Mapper in the chain, if any. * @param reducerConf a JobConf with the configuration for the Reducer * class. It is recommended to use a JobConf without default values using the * <code>JobConf(boolean loadDefaults)</code> constructor with FALSE. */ public static <K1, V1, K2, V2> void setReducer(JobConf jobConf, Class<? extends Reducer<K1, V1, K2, V2>> klass, Class<? extends K1> inputKeyClass, Class<? extends V1> inputValueClass, Class<? extends K2> outputKeyClass, Class<? extends V2> outputValueClass, boolean byValue, JobConf reducerConf) { String prefix = getPrefix(false); if (jobConf.getClass(prefix + CHAIN_REDUCER_CLASS, null) != null) { throw new IllegalStateException("Reducer has been already set"); } jobConf.setClass(prefix + CHAIN_REDUCER_CLASS, klass, Reducer.class); // if the Reducer does not have a private JobConf create an empty one if (reducerConf == null) { // using a JobConf without defaults to make it lightweight. // still the chain JobConf may have all defaults and this conf is // overlapped to the chain JobConf one. reducerConf = new JobConf(false); } // store in the private reducer conf the input/output classes of the reducer // and if it works by value or by reference reducerConf.setBoolean(MAPPER_BY_VALUE, byValue); reducerConf.setClass(REDUCER_INPUT_KEY_CLASS, inputKeyClass, Object.class); reducerConf.setClass(REDUCER_INPUT_VALUE_CLASS, inputValueClass, Object.class); reducerConf.setClass(REDUCER_OUTPUT_KEY_CLASS, outputKeyClass, Object.class); reducerConf.setClass(REDUCER_OUTPUT_VALUE_CLASS, outputValueClass, Object.class); // serialize the private mapper jobconf in the chain jobconf. Stringifier<JobConf> stringifier = new DefaultStringifier<JobConf>(jobConf, JobConf.class); try { jobConf.set(prefix + CHAIN_REDUCER_CONFIG, stringifier.toString(new JobConf(reducerConf))); } catch (IOException ioEx) { throw new RuntimeException(ioEx); } }