Examples with Serializable java.io.Serializable used on opensource projects

Example 1 with Serializable

use of java.io.Serializable in project deeplearning4j by deeplearning4j.

the class ParallelWrapper method setListeners.

/**
     * Set the listeners, along with a StatsStorageRouter that the results will be shuffled to (in the case of any listeners
     * that implement the {@link RoutingIterationListener} interface)
     *
     * @param statsStorage Stats storage router to place the results into
     * @param listeners    Listeners to set
     */
public void setListeners(StatsStorageRouter statsStorage, Collection<? extends IterationListener> listeners) {
    //Check if we have any RoutingIterationListener instances that need a StatsStorage implementation...
    StatsStorageRouterProvider routerProvider = null;
    if (listeners != null) {
        for (IterationListener l : listeners) {
            if (l instanceof RoutingIterationListener) {
                RoutingIterationListener rl = (RoutingIterationListener) l;
                if (rl.getStorageRouter() == null) {
                    log.warn("RoutingIterationListener provided without providing any StatsStorage instance. Iterator may not function without one. Listener: {}", l);
                } else if (!(rl.getStorageRouter() instanceof Serializable)) {
                    //Spark would throw a (probably cryptic) serialization exception later anyway...
                    throw new IllegalStateException("RoutingIterationListener provided with non-serializable storage router");
                }
            }
        }
    }
    this.storageRouter = statsStorage;
    this.listeners.addAll(listeners);
}

Example 2 with Serializable

use of java.io.Serializable in project hive by apache.

the class GenMRTableScan1 method handlePartialScanCommand.

/**
   * handle partial scan command. It is composed of PartialScanTask followed by StatsTask .
   * @param op
   * @param ctx
   * @param parseCtx
   * @param currTask
   * @param parseInfo
   * @param statsWork
   * @param statsTask
   * @throws SemanticException
   */
private void handlePartialScanCommand(TableScanOperator op, GenMRProcContext ctx, ParseContext parseCtx, Task<? extends Serializable> currTask, StatsWork statsWork, Task<StatsWork> statsTask) throws SemanticException {
    String aggregationKey = op.getConf().getStatsAggPrefix();
    StringBuilder aggregationKeyBuffer = new StringBuilder(aggregationKey);
    List<Path> inputPaths = GenMapRedUtils.getInputPathsForPartialScan(op, aggregationKeyBuffer);
    aggregationKey = aggregationKeyBuffer.toString();
    // scan work
    PartialScanWork scanWork = new PartialScanWork(inputPaths);
    scanWork.setMapperCannotSpanPartns(true);
    scanWork.setAggKey(aggregationKey);
    scanWork.setStatsTmpDir(op.getConf().getTmpStatsDir(), parseCtx.getConf());
    // stats work
    statsWork.setPartialScanAnalyzeCommand(true);
    // partial scan task
    DriverContext driverCxt = new DriverContext();
    Task<PartialScanWork> psTask = TaskFactory.get(scanWork, parseCtx.getConf());
    psTask.initialize(parseCtx.getQueryState(), null, driverCxt, op.getCompilationOpContext());
    psTask.setWork(scanWork);
    // task dependency
    ctx.getRootTasks().remove(currTask);
    ctx.getRootTasks().add(psTask);
    psTask.addDependentTask(statsTask);
    List<Task<? extends Serializable>> parentTasks = new ArrayList<Task<? extends Serializable>>();
    parentTasks.add(psTask);
    statsTask.setParentTasks(parentTasks);
}

Example 3 with Serializable

use of java.io.Serializable in project hive by apache.

the class GenMapRedUtils method createMRWorkForMergingFiles.

/**
   * @param fsInput The FileSink operator.
   * @param ctx The MR processing context.
   * @param finalName the final destination path the merge job should output.
   * @param dependencyTask
   * @param mvTasks
   * @param conf
   * @param currTask
   * @throws SemanticException

   * create a Map-only merge job using CombineHiveInputFormat for all partitions with
   * following operators:
   *          MR job J0:
   *          ...
   *          |
   *          v
   *          FileSinkOperator_1 (fsInput)
   *          |
   *          v
   *          Merge job J1:
   *          |
   *          v
   *          TableScan (using CombineHiveInputFormat) (tsMerge)
   *          |
   *          v
   *          FileSinkOperator (fsMerge)
   *
   *          Here the pathToPartitionInfo & pathToAlias will remain the same, which means the paths
   *          do
   *          not contain the dynamic partitions (their parent). So after the dynamic partitions are
   *          created (after the first job finished before the moveTask or ConditionalTask start),
   *          we need to change the pathToPartitionInfo & pathToAlias to include the dynamic
   *          partition
   *          directories.
   *
   */
public static void createMRWorkForMergingFiles(FileSinkOperator fsInput, Path finalName, DependencyCollectionTask dependencyTask, List<Task<MoveWork>> mvTasks, HiveConf conf, Task<? extends Serializable> currTask) throws SemanticException {
    //
    // 1. create the operator tree
    //
    FileSinkDesc fsInputDesc = fsInput.getConf();
    // Create a TableScan operator
    RowSchema inputRS = fsInput.getSchema();
    TableScanOperator tsMerge = GenMapRedUtils.createTemporaryTableScanOperator(fsInput.getCompilationOpContext(), inputRS);
    // Create a FileSink operator
    TableDesc ts = (TableDesc) fsInputDesc.getTableInfo().clone();
    FileSinkDesc fsOutputDesc = new FileSinkDesc(finalName, ts, conf.getBoolVar(ConfVars.COMPRESSRESULT));
    FileSinkOperator fsOutput = (FileSinkOperator) OperatorFactory.getAndMakeChild(fsOutputDesc, inputRS, tsMerge);
    // If the input FileSinkOperator is a dynamic partition enabled, the tsMerge input schema
    // needs to include the partition column, and the fsOutput should have
    // a DynamicPartitionCtx to indicate that it needs to dynamically partitioned.
    DynamicPartitionCtx dpCtx = fsInputDesc.getDynPartCtx();
    if (dpCtx != null && dpCtx.getNumDPCols() > 0) {
        // adding DP ColumnInfo to the RowSchema signature
        ArrayList<ColumnInfo> signature = inputRS.getSignature();
        String tblAlias = fsInputDesc.getTableInfo().getTableName();
        for (String dpCol : dpCtx.getDPColNames()) {
            ColumnInfo colInfo = new ColumnInfo(dpCol, // all partition column type should be string
            TypeInfoFactory.stringTypeInfo, tblAlias, // partition column is virtual column
            true);
            signature.add(colInfo);
        }
        inputRS.setSignature(signature);
        // create another DynamicPartitionCtx, which has a different input-to-DP column mapping
        DynamicPartitionCtx dpCtx2 = new DynamicPartitionCtx(dpCtx);
        fsOutputDesc.setDynPartCtx(dpCtx2);
        // update the FileSinkOperator to include partition columns
        usePartitionColumns(fsInputDesc.getTableInfo().getProperties(), dpCtx.getDPColNames());
    } else {
        // non-partitioned table
        fsInputDesc.getTableInfo().getProperties().remove(org.apache.hadoop.hive.metastore.api.hive_metastoreConstants.META_TABLE_PARTITION_COLUMNS);
    }
    //
    // 2. Constructing a conditional task consisting of a move task and a map reduce task
    //
    MoveWork dummyMv = new MoveWork(null, null, null, new LoadFileDesc(fsInputDesc.getFinalDirName(), finalName, true, null, null), false);
    MapWork cplan;
    Serializable work;
    if ((conf.getBoolVar(ConfVars.HIVEMERGERCFILEBLOCKLEVEL) && fsInputDesc.getTableInfo().getInputFileFormatClass().equals(RCFileInputFormat.class)) || (conf.getBoolVar(ConfVars.HIVEMERGEORCFILESTRIPELEVEL) && fsInputDesc.getTableInfo().getInputFileFormatClass().equals(OrcInputFormat.class))) {
        cplan = GenMapRedUtils.createMergeTask(fsInputDesc, finalName, dpCtx != null && dpCtx.getNumDPCols() > 0, fsInput.getCompilationOpContext());
        if (conf.getVar(ConfVars.HIVE_EXECUTION_ENGINE).equals("tez")) {
            work = new TezWork(conf.getVar(HiveConf.ConfVars.HIVEQUERYID), conf);
            cplan.setName("File Merge");
            ((TezWork) work).add(cplan);
        } else if (conf.getVar(ConfVars.HIVE_EXECUTION_ENGINE).equals("spark")) {
            work = new SparkWork(conf.getVar(HiveConf.ConfVars.HIVEQUERYID));
            cplan.setName("Spark Merge File Work");
            ((SparkWork) work).add(cplan);
        } else {
            work = cplan;
        }
    } else {
        cplan = createMRWorkForMergingFiles(conf, tsMerge, fsInputDesc);
        if (conf.getVar(ConfVars.HIVE_EXECUTION_ENGINE).equals("tez")) {
            work = new TezWork(conf.getVar(HiveConf.ConfVars.HIVEQUERYID), conf);
            cplan.setName("File Merge");
            ((TezWork) work).add(cplan);
        } else if (conf.getVar(ConfVars.HIVE_EXECUTION_ENGINE).equals("spark")) {
            work = new SparkWork(conf.getVar(HiveConf.ConfVars.HIVEQUERYID));
            cplan.setName("Spark Merge File Work");
            ((SparkWork) work).add(cplan);
        } else {
            work = new MapredWork();
            ((MapredWork) work).setMapWork(cplan);
        }
    }
    // use CombineHiveInputFormat for map-only merging
    cplan.setInputformat("org.apache.hadoop.hive.ql.io.CombineHiveInputFormat");
    // NOTE: we should gather stats in MR1 rather than MR2 at merge job since we don't
    // know if merge MR2 will be triggered at execution time
    Task<MoveWork> mvTask = GenMapRedUtils.findMoveTask(mvTasks, fsOutput);
    ConditionalTask cndTsk = GenMapRedUtils.createCondTask(conf, currTask, dummyMv, work, fsInputDesc.getFinalDirName(), finalName, mvTask, dependencyTask);
    // keep the dynamic partition context in conditional task resolver context
    ConditionalResolverMergeFilesCtx mrCtx = (ConditionalResolverMergeFilesCtx) cndTsk.getResolverCtx();
    mrCtx.setDPCtx(fsInputDesc.getDynPartCtx());
    mrCtx.setLbCtx(fsInputDesc.getLbCtx());
}

Example 4 with Serializable

use of java.io.Serializable in project hive by apache.

the class CrossProductCheck method dispatch.

@Override
public Object dispatch(Node nd, Stack<Node> stack, Object... nodeOutputs) throws SemanticException {
    @SuppressWarnings("unchecked") Task<? extends Serializable> currTask = (Task<? extends Serializable>) nd;
    if (currTask instanceof MapRedTask) {
        MapRedTask mrTsk = (MapRedTask) currTask;
        MapredWork mrWrk = mrTsk.getWork();
        checkMapJoins(mrTsk);
        checkMRReducer(currTask.toString(), mrWrk);
    } else if (currTask instanceof ConditionalTask) {
        List<Task<? extends Serializable>> taskListInConditionalTask = ((ConditionalTask) currTask).getListTasks();
        for (Task<? extends Serializable> tsk : taskListInConditionalTask) {
            dispatch(tsk, stack, nodeOutputs);
        }
    } else if (currTask instanceof TezTask) {
        TezTask tzTask = (TezTask) currTask;
        TezWork tzWrk = tzTask.getWork();
        checkMapJoins(tzWrk);
        checkTezReducer(tzWrk);
    }
    return null;
}

Example 5 with Serializable

use of java.io.Serializable in project checkstyle by checkstyle.

the class VariableDeclaredBeforeTheFirstBlockBegins method method1.

void method1() {
    //Violations:
    for (int i = 0; i < 1; i++) {
        i++;
    }
    for (int i = 0; i < 1; i++) {
        i = i + 1;
    }
    for (int i = 0; i < 1; i++) {
        for (int j = 0; j < 1; i++) {
            --i;
        }
    }
    for (int i = 0, j = 0; i < 1; i++) {
        j++;
    }
    // Ok:
    for (int i = 0; i < 1; i++) {
    }
    for (int i = 0; i < 1; i++) {
        int x = i;
    }
    for (int i = 0; i < 1; i++) {
        Serializable s = new Serializable() {

            int i = 3;

            void a() {
                System.identityHashCode(i++);
            }
        };
    }
    for (int k = 0; k < 1; k++) {
        this.k++;
    }
    String[] sa = { "a", "b" };
    for (String s : sa) {
    }
    for (String s : sa) {
        s = "new string";
    }
    for (int i = 0; i < 10; ) {
        i++;
    }
    for (int i = 0, l = 0, m = 0; l < 10; i++, m = m + 2) {
        l++;
        m++;
    }
    for (int i = 0; i < 10; ) {
        i = 11;
    }
    int w = 0;
    for (int i = 0; i < 10; java.sql.Date.valueOf(""), this.i++, w++) {
        i++;
        w++;
    }
    for (int i = 0, k = 0; i < 10 && k < 10; ++i, ++k) {
        i = i + 3;
        k = k + 4;
    }
    for (int i = 0, j = 0; i < 10; i++) {
        j++;
    }
}