Example usage for org.apache.cassandra.hadoop ConfigHelper setRangeBatchSize

Introduction

In this page you can find the example usage for org.apache.cassandra.hadoop ConfigHelper setRangeBatchSize.

Prototype

public static void setRangeBatchSize(Configuration conf, int batchsize) 

Source Link

Document

The number of rows to request with each get range slices request.

Usage

From source file:WordCount.java

License:Apache License

public int run(String[] args) throws Exception {
    ///start/* w  ww  .  ja  v  a 2s .  co  m*/
    final long startTime = System.currentTimeMillis();
    String outputReducerType = "filesystem";
    if (args != null && args[0].startsWith(OUTPUT_REDUCER_VAR)) {
        String[] s = args[0].split("=");
        if (s != null && s.length == 2)
            outputReducerType = s[1];
    }
    logger.info("output reducer type: " + outputReducerType);

    // use a smaller page size that doesn't divide the row count evenly to exercise the paging logic better
    ConfigHelper.setRangeBatchSize(getConf(), 99);

    for (int i = 0; i < WordCountSetup.TEST_COUNT; i++) {
        String columnName = "userId";
        Job job = new Job(getConf(), "wordcount");
        job.setJarByClass(WordCount.class);
        job.setMapperClass(TokenizerMapper.class);
        if (outputReducerType.equalsIgnoreCase("filesystem")) {
            job.setReducerClass(ReducerToFilesystem.class);
            job.setOutputKeyClass(Text.class);
            job.setOutputValueClass(Text.class);
            FileOutputFormat.setOutputPath(job, new Path(OUTPUT_PATH_PREFIX + i));
        } else {
            job.setReducerClass(ReducerToCassandra.class);

            job.setMapOutputKeyClass(Text.class);
            job.setMapOutputValueClass(Text.class);
            job.setOutputKeyClass(ByteBuffer.class);
            job.setOutputValueClass(List.class);

            job.setOutputFormatClass(ColumnFamilyOutputFormat.class);

            ConfigHelper.setOutputColumnFamily(job.getConfiguration(), KEYSPACE, OUTPUT_COLUMN_FAMILY);
            job.getConfiguration().set(CONF_COLUMN_NAME, "sum");
        }
        job.setInputFormatClass(ColumnFamilyInputFormat.class);
        ConfigHelper.setInputRpcPort(job.getConfiguration(), "9160");
        ConfigHelper.setInputInitialAddress(job.getConfiguration(), "localhost");

        //Change partitioner here
        ConfigHelper.setInputPartitioner(job.getConfiguration(), "RandomPartitioner");
        ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY);

        SlicePredicate predicate = new SlicePredicate()
                .setColumn_names(Arrays.asList(ByteBufferUtil.bytes(columnName)));
        ConfigHelper.setInputSlicePredicate(job.getConfiguration(), predicate);

        // this will cause the predicate to be ignored in favor of scanning everything as a wide row
        //Son degisiklik Super Column Support ?
        // ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY, true);

        ConfigHelper.setOutputInitialAddress(job.getConfiguration(), "localhost");
        ConfigHelper.setOutputPartitioner(job.getConfiguration(), "RandomPartitioner");
        job.waitForCompletion(true);
    }

    final double duration = (System.currentTimeMillis() - startTime) / 1000.0;
    System.out.println();
    System.out.println("Job Finished in " + duration + " seconds");
    System.out.println();

    return 0;
}

---

From source file:WordCount.java

License:Apache License

public int run(String[] args) throws Exception {

    ///start//from w  w  w  .j  av a2  s . c o m
    final long startTime = System.currentTimeMillis();
    String outputReducerType = "filesystem";
    if (args != null && args[0].startsWith(OUTPUT_REDUCER_VAR)) {
        String[] s = args[0].split("=");
        if (s != null && s.length == 2)
            outputReducerType = s[1];
    }
    logger.info("output reducer type: " + outputReducerType);

    // use a smaller page size that doesn't divide the row count evenly to exercise the paging logic better
    ConfigHelper.setRangeBatchSize(getConf(), 99);

    for (int i = 0; i < WordCountSetup.TEST_COUNT; i++) {
        String columnName = "userId";
        Job job = new Job(getConf(), "wordcount");
        job.setJarByClass(WordCount.class);
        job.setMapperClass(TokenizerMapper.class);

        if (outputReducerType.equalsIgnoreCase("filesystem")) {
            job.setReducerClass(ReducerToFilesystem.class);
            job.setOutputKeyClass(Text.class);
            job.setOutputValueClass(Text.class);
            FileOutputFormat.setOutputPath(job, new Path(OUTPUT_PATH_PREFIX + i));
        } else {
            job.setReducerClass(ReducerToCassandra.class);

            job.setMapOutputKeyClass(Text.class);
            job.setMapOutputValueClass(Text.class);
            job.setOutputKeyClass(ByteBuffer.class);
            job.setOutputValueClass(List.class);

            job.setOutputFormatClass(ColumnFamilyOutputFormat.class);

            ConfigHelper.setOutputColumnFamily(job.getConfiguration(), KEYSPACE, OUTPUT_COLUMN_FAMILY);
            job.getConfiguration().set(CONF_COLUMN_NAME, "sum");
        }

        job.setInputFormatClass(ColumnFamilyInputFormat.class);
        ConfigHelper.setInputRpcPort(job.getConfiguration(), "9160");
        ConfigHelper.setInputInitialAddress(job.getConfiguration(), "localhost");
        ConfigHelper.setInputPartitioner(job.getConfiguration(), "RandomPartitioner");
        ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY);

        SlicePredicate predicate = new SlicePredicate()
                .setColumn_names(Arrays.asList(ByteBufferUtil.bytes(columnName)));
        ConfigHelper.setInputSlicePredicate(job.getConfiguration(), predicate);

        // this will cause the predicate to be ignored in favor of scanning everything as a wide row
        //Son degisiklik
        // ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY, true);
        //System.out.println("tessssssaaat");

        ConfigHelper.setOutputInitialAddress(job.getConfiguration(), "localhost");
        ConfigHelper.setOutputPartitioner(job.getConfiguration(), "RandomPartitioner");

        job.waitForCompletion(true);
    }
    //print
    final double duration = (System.currentTimeMillis() - startTime) / 1000.0; // after
    System.out.println();
    System.out.println("Job Finished in " + duration + " seconds");
    System.out.println();

    return 0;
}

---

From source file:WordCount.java

License:Apache License

public int run(String[] args) throws Exception {

    ///start//from w ww  . jav a 2 s  .c om
    final long startTime = System.currentTimeMillis();
    String outputReducerType = "filesystem";
    if (args != null && args[0].startsWith(OUTPUT_REDUCER_VAR)) {
        String[] s = args[0].split("=");
        if (s != null && s.length == 2)
            outputReducerType = s[1];
    }

    logger.info("output reducer type: " + outputReducerType);

    // use a smaller page size that doesn't divide the row count evenly to exercise the paging logic better
    ConfigHelper.setRangeBatchSize(getConf(), 99);

    for (int i = 0; i < WordCountSetup.TEST_COUNT; i++) {
        String columnName = "userId";

        Job job = new Job(getConf(), "wordcount");
        job.setJarByClass(WordCount.class);
        job.setMapperClass(TokenizerMapper.class);

        if (outputReducerType.equalsIgnoreCase("filesystem")) {
            job.setReducerClass(ReducerToFilesystem.class);
            job.setOutputKeyClass(Text.class);
            job.setOutputValueClass(Text.class);
            FileOutputFormat.setOutputPath(job, new Path(OUTPUT_PATH_PREFIX + i));
        } else {
            job.setReducerClass(ReducerToCassandra.class);
            job.setMapOutputKeyClass(Text.class);
            job.setMapOutputValueClass(Text.class);
            job.setOutputKeyClass(ByteBuffer.class);
            job.setOutputValueClass(List.class);
            job.setOutputFormatClass(ColumnFamilyOutputFormat.class);
            ConfigHelper.setOutputColumnFamily(job.getConfiguration(), KEYSPACE, OUTPUT_COLUMN_FAMILY);
            job.getConfiguration().set(CONF_COLUMN_NAME, "sum");
        }
        job.setInputFormatClass(ColumnFamilyInputFormat.class);
        ConfigHelper.setInputRpcPort(job.getConfiguration(), "9160");
        ConfigHelper.setInputInitialAddress(job.getConfiguration(), "localhost");
        ConfigHelper.setInputPartitioner(job.getConfiguration(), "RandomPartitioner");
        ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY);

        SlicePredicate predicate = new SlicePredicate()
                .setColumn_names(Arrays.asList(ByteBufferUtil.bytes(columnName)));
        ConfigHelper.setInputSlicePredicate(job.getConfiguration(), predicate);

        // this will cause the predicate to be ignored in favor of scanning everything as a wide row          
        //Son degisiklik
        // ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY, true);
        //System.out.println("tessssssaaat");

        ConfigHelper.setOutputInitialAddress(job.getConfiguration(), "localhost");
        ConfigHelper.setOutputPartitioner(job.getConfiguration(), "RandomPartitioner");

        job.waitForCompletion(true);
    }

    //print
    final double duration = (System.currentTimeMillis() - startTime) / 1000.0; // after
    System.out.println();
    System.out.println("Job Finished in " + duration + " seconds");
    System.out.println();

    return 0;
}

---

From source file:WordCount.java

License:Apache License

public int run(String[] args) throws Exception {

    ///start//  w  ww.ja  v  a 2 s  .co  m
    final long startTime = System.currentTimeMillis();
    String outputReducerType = "filesystem";
    if (args != null && args[0].startsWith(OUTPUT_REDUCER_VAR)) {
        String[] s = args[0].split("=");
        if (s != null && s.length == 2)
            outputReducerType = s[1];
    }
    logger.info("output reducer type: " + outputReducerType);

    // use a smaller page size that doesn't divide the row count evenly to exercise the paging logic better
    ConfigHelper.setRangeBatchSize(getConf(), 99);

    for (int i = 0; i < WordCountSetup.TEST_COUNT; i++) {
        String columnName = "userId";
        Job job = new Job(getConf(), "wordcount");
        job.setJarByClass(WordCount.class);
        job.setMapperClass(TokenizerMapper.class);
        //System.out.println("test");

        if (outputReducerType.equalsIgnoreCase("filesystem")) {
            job.setReducerClass(ReducerToFilesystem.class);
            job.setOutputKeyClass(Text.class);
            job.setOutputValueClass(Text.class);
            FileOutputFormat.setOutputPath(job, new Path(OUTPUT_PATH_PREFIX + i));
        } else {
            job.setReducerClass(ReducerToCassandra.class);
            job.setMapOutputKeyClass(Text.class);
            job.setMapOutputValueClass(Text.class);
            job.setOutputKeyClass(ByteBuffer.class);
            job.setOutputValueClass(List.class);
            job.setOutputFormatClass(ColumnFamilyOutputFormat.class);
            ConfigHelper.setOutputColumnFamily(job.getConfiguration(), KEYSPACE, OUTPUT_COLUMN_FAMILY);
            job.getConfiguration().set(CONF_COLUMN_NAME, "sum");
        }

        job.setInputFormatClass(ColumnFamilyInputFormat.class);

        ConfigHelper.setInputRpcPort(job.getConfiguration(), "9160");
        ConfigHelper.setInputInitialAddress(job.getConfiguration(), "localhost");
        ConfigHelper.setInputPartitioner(job.getConfiguration(), "RandomPartitioner");
        ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY);
        SlicePredicate predicate = new SlicePredicate()
                .setColumn_names(Arrays.asList(ByteBufferUtil.bytes(columnName)));
        ConfigHelper.setInputSlicePredicate(job.getConfiguration(), predicate);

        // this will cause the predicate to be ignored in favor of scanning everything as a wide row

        //Son degisiklik
        // ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY, true);
        ConfigHelper.setOutputInitialAddress(job.getConfiguration(), "localhost");
        ConfigHelper.setOutputPartitioner(job.getConfiguration(), "RandomPartitioner");
        job.waitForCompletion(true);
    }
    //print
    final double duration = (System.currentTimeMillis() - startTime) / 1000.0; // after
    System.out.println();
    System.out.println("Job Finished in " + duration + " seconds");
    System.out.println();

    return 0;
}

---

From source file:cassandra_mapreduce.MapReduceCassandraDB.java

License:GNU General Public License

public int run(String[] args) throws Exception {

    String columnName = "value";
    getConf().set(CONF_COLUMN_NAME, columnName);
    getConf().set("mapred.job.tracker", args[0] + ":8021");
    Job job = new Job(getConf(), "Phase1");
    job.setJarByClass(MapReduceCassandraDB.class);
    job.setMapperClass(TokenizerMapper.class);
    job.setReducerClass(ReducerToCassandra.class);
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(Text.class);
    job.setOutputKeyClass(ByteBuffer.class);
    job.setOutputValueClass(List.class);

    job.setInputFormatClass(ColumnFamilyInputFormat.class);
    job.setOutputFormatClass(ColumnFamilyOutputFormat.class);
    ConfigHelper.setRangeBatchSize(job.getConfiguration(), 800);
    ConfigHelper.setOutputColumnFamily(job.getConfiguration(), KEYSPACE, OUTPUT_COLUMN_FAMILY);

    ConfigHelper.setRpcPort(job.getConfiguration(), "9160");
    ConfigHelper.setInitialAddress(job.getConfiguration(), args[0]);
    ConfigHelper.setPartitioner(job.getConfiguration(), "org.apache.cassandra.dht.RandomPartitioner");
    ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY);
    SlicePredicate predicate = new SlicePredicate()
            .setColumn_names(Arrays.asList(ByteBuffer.wrap(columnName.getBytes())));
    ConfigHelper.setInputSlicePredicate(job.getConfiguration(), predicate);

    job.waitForCompletion(true);//from w w w  . j  a  va  2s.  co  m

    //Phase 2
    Job job2 = new Job(getConf(), "Phase2");
    job2.setJarByClass(MapReduceCassandraDB.class);
    job2.setMapperClass(Mapper2.class);
    job2.setReducerClass(Reducer2.class);
    job2.setMapOutputKeyClass(Text.class);
    job2.setMapOutputValueClass(IntWritable.class);
    job2.setOutputKeyClass(ByteBuffer.class);
    job2.setOutputValueClass(List.class);

    job2.setInputFormatClass(ColumnFamilyInputFormat.class);
    job2.setOutputFormatClass(ColumnFamilyOutputFormat.class);
    ConfigHelper.setOutputColumnFamily(job2.getConfiguration(), KEYSPACE, OUTPUT_COLUMN_FAMILY2);

    ConfigHelper.setRpcPort(job2.getConfiguration(), "9160");
    ConfigHelper.setInitialAddress(job2.getConfiguration(), args[0]);
    ConfigHelper.setPartitioner(job2.getConfiguration(), "org.apache.cassandra.dht.RandomPartitioner");
    ConfigHelper.setInputColumnFamily(job2.getConfiguration(), KEYSPACE, OUTPUT_COLUMN_FAMILY);
    SlicePredicate predicate2 = new SlicePredicate()
            .setColumn_names(Arrays.asList(ByteBuffer.wrap(columnName.getBytes())));
    ConfigHelper.setInputSlicePredicate(job2.getConfiguration(), predicate2);

    job2.waitForCompletion(true);

    //        job.setCombinerClass(IntSumReducer.class);
    //        job.setReducerClass(IntSumReducer.class);
    //        job.setOutputKeyClass(Text.class);
    //        job.setOutputValueClass(Text.class);
    //
    //        job.setInputFormatClass(ColumnFamilyInputFormat.class);
    //        FileOutputFormat.setOutputPath(job, new Path(OUTPUT_PATH_PREFIX));
    //        
    //        ConfigHelper.setRpcPort(job.getConfiguration(), "9160");
    //        ConfigHelper.setInitialAddress(job.getConfiguration(), args[0]);
    //        ConfigHelper.setPartitioner(job.getConfiguration(), "org.apache.cassandra.dht.RandomPartitioner");
    //        ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY);
    //        SlicePredicate predicate = new SlicePredicate().setColumn_names(Arrays.asList(ByteBuffer.wrap(columnName.getBytes())));
    //        ConfigHelper.setInputSlicePredicate(job.getConfiguration(), predicate);
    //
    //        job.waitForCompletion(true);

    return 0;
}

---

From source file:org.apache.hadoop.hive.cassandra.input.cql.HiveCqlInputFormat.java

License:Apache License

@Override
public RecordReader<MapWritableComparable, MapWritable> getRecordReader(InputSplit split, JobConf jobConf,
        final Reporter reporter) throws IOException {
    HiveCassandraStandardSplit cassandraSplit = (HiveCassandraStandardSplit) split;

    List<String> columns = CqlSerDe.parseColumnMapping(cassandraSplit.getColumnMapping());

    List<Integer> readColIDs = ColumnProjectionUtils.getReadColumnIDs(jobConf);

    if (columns.size() < readColIDs.size()) {
        throw new IOException("Cannot read more columns than the given table contains.");
    }/*from   w  ww  .j a va 2  s .co  m*/

    ColumnFamilySplit cfSplit = cassandraSplit.getSplit();
    Job job = new Job(jobConf);

    TaskAttemptContext tac = new TaskAttemptContext(job.getConfiguration(), new TaskAttemptID()) {
        @Override
        public void progress() {
            reporter.progress();
        }
    };

    SlicePredicate predicate = new SlicePredicate();

    predicate.setColumn_names(getColumnNames(columns, readColIDs));

    try {

        boolean wideRows = true;

        ConfigHelper.setInputColumnFamily(tac.getConfiguration(), cassandraSplit.getKeyspace(),
                cassandraSplit.getColumnFamily(), wideRows);

        ConfigHelper.setInputSlicePredicate(tac.getConfiguration(), predicate);
        ConfigHelper.setRangeBatchSize(tac.getConfiguration(), cassandraSplit.getRangeBatchSize());
        ConfigHelper.setInputRpcPort(tac.getConfiguration(), cassandraSplit.getPort() + "");
        ConfigHelper.setInputInitialAddress(tac.getConfiguration(), cassandraSplit.getHost());
        ConfigHelper.setInputPartitioner(tac.getConfiguration(), cassandraSplit.getPartitioner());
        // Set Split Size
        ConfigHelper.setInputSplitSize(tac.getConfiguration(), cassandraSplit.getSplitSize());

        LOG.info("Validators : " + tac.getConfiguration().get(CassandraColumnSerDe.CASSANDRA_VALIDATOR_TYPE));
        List<IndexExpression> indexExpr = parseFilterPredicate(jobConf);
        if (indexExpr != null) {
            //We have pushed down a filter from the Hive query, we can use this against secondary indexes
            ConfigHelper.setInputRange(tac.getConfiguration(), indexExpr);
        }

        CqlHiveRecordReader rr = new CqlHiveRecordReader(new CqlPagingRecordReader());

        rr.initialize(cfSplit, tac);

        return rr;

    } catch (Exception ie) {
        throw new IOException(ie);
    }
}

---

From source file:org.apache.hadoop.hive.cassandra.input.cql.HiveCqlInputFormat.java

License:Apache License

@Override
public InputSplit[] getSplits(JobConf jobConf, int numSplits) throws IOException {
    String ks = jobConf.get(AbstractCassandraSerDe.CASSANDRA_KEYSPACE_NAME);
    String cf = jobConf.get(AbstractCassandraSerDe.CASSANDRA_CF_NAME);
    int slicePredicateSize = jobConf.getInt(AbstractCassandraSerDe.CASSANDRA_SLICE_PREDICATE_SIZE,
            AbstractCassandraSerDe.DEFAULT_SLICE_PREDICATE_SIZE);
    int sliceRangeSize = jobConf.getInt(AbstractCassandraSerDe.CASSANDRA_RANGE_BATCH_SIZE,
            AbstractCassandraSerDe.DEFAULT_RANGE_BATCH_SIZE);
    int splitSize = jobConf.getInt(AbstractCassandraSerDe.CASSANDRA_SPLIT_SIZE,
            AbstractCassandraSerDe.DEFAULT_SPLIT_SIZE);
    String cassandraColumnMapping = jobConf.get(AbstractCassandraSerDe.CASSANDRA_COL_MAPPING);
    int rpcPort = jobConf.getInt(AbstractCassandraSerDe.CASSANDRA_PORT, 9160);
    String host = jobConf.get(AbstractCassandraSerDe.CASSANDRA_HOST);
    String partitioner = jobConf.get(AbstractCassandraSerDe.CASSANDRA_PARTITIONER);

    if (cassandraColumnMapping == null) {
        throw new IOException("cassandra.columns.mapping required for Cassandra Table.");
    }//  ww  w  .  j a  v a 2  s .  c o  m

    SliceRange range = new SliceRange();
    range.setStart(new byte[0]);
    range.setFinish(new byte[0]);
    range.setReversed(false);
    range.setCount(slicePredicateSize);
    SlicePredicate predicate = new SlicePredicate();
    predicate.setSlice_range(range);

    ConfigHelper.setInputRpcPort(jobConf, "" + rpcPort);
    ConfigHelper.setInputInitialAddress(jobConf, host);
    ConfigHelper.setInputPartitioner(jobConf, partitioner);
    ConfigHelper.setInputSlicePredicate(jobConf, predicate);
    ConfigHelper.setInputColumnFamily(jobConf, ks, cf);
    ConfigHelper.setRangeBatchSize(jobConf, sliceRangeSize);
    ConfigHelper.setInputSplitSize(jobConf, splitSize);

    Job job = new Job(jobConf);
    JobContext jobContext = new JobContext(job.getConfiguration(), job.getJobID());

    Path[] tablePaths = FileInputFormat.getInputPaths(jobContext);
    List<org.apache.hadoop.mapreduce.InputSplit> splits = getSplits(jobContext);
    InputSplit[] results = new InputSplit[splits.size()];

    for (int i = 0; i < splits.size(); ++i) {
        HiveCassandraStandardSplit csplit = new HiveCassandraStandardSplit((ColumnFamilySplit) splits.get(i),
                cassandraColumnMapping, tablePaths[0]);
        csplit.setKeyspace(ks);
        csplit.setColumnFamily(cf);
        csplit.setRangeBatchSize(sliceRangeSize);
        csplit.setSplitSize(splitSize);
        csplit.setHost(host);
        csplit.setPort(rpcPort);
        csplit.setSlicePredicateSize(slicePredicateSize);
        csplit.setPartitioner(partitioner);
        csplit.setColumnMapping(cassandraColumnMapping);
        results[i] = csplit;
    }
    return results;
}

---

From source file:org.apache.hadoop.hive.cassandra.input.HiveCassandraStandardColumnInputFormat.java

License:Apache License

@Override
public RecordReader<BytesWritable, MapWritable> getRecordReader(InputSplit split, JobConf jobConf,
        final Reporter reporter) throws IOException {
    HiveCassandraStandardSplit cassandraSplit = (HiveCassandraStandardSplit) split;

    List<String> columns = CassandraColumnSerDe.parseColumnMapping(cassandraSplit.getColumnMapping());
    isTransposed = CassandraColumnSerDe.isTransposed(columns);

    List<Integer> readColIDs = ColumnProjectionUtils.getReadColumnIDs(jobConf);

    if (columns.size() < readColIDs.size()) {
        throw new IOException("Cannot read more columns than the given table contains.");
    }/*w ww.j  a  v a  2s .c  om*/

    org.apache.cassandra.hadoop.ColumnFamilySplit cfSplit = cassandraSplit.getSplit();
    Job job = new Job(jobConf);

    TaskAttemptContext tac = new TaskAttemptContext(job.getConfiguration(), new TaskAttemptID()) {
        @Override
        public void progress() {
            reporter.progress();
        }
    };

    SlicePredicate predicate = new SlicePredicate();

    if (isTransposed || readColIDs.size() == columns.size() || readColIDs.size() == 0) {
        SliceRange range = new SliceRange();
        AbstractType comparator = BytesType.instance;

        String comparatorType = jobConf.get(AbstractCassandraSerDe.CASSANDRA_SLICE_PREDICATE_RANGE_COMPARATOR);
        if (comparatorType != null && !comparatorType.equals("")) {
            try {
                comparator = TypeParser.parse(comparatorType);
            } catch (ConfigurationException ex) {
                throw new IOException("Comparator class not found.");
            } catch (SyntaxException e) {
                throw new IOException(e);
            }
        }

        String sliceStart = jobConf.get(AbstractCassandraSerDe.CASSANDRA_SLICE_PREDICATE_RANGE_START);
        String sliceEnd = jobConf.get(AbstractCassandraSerDe.CASSANDRA_SLICE_PREDICATE_RANGE_FINISH);
        String reversed = jobConf.get(AbstractCassandraSerDe.CASSANDRA_SLICE_PREDICATE_RANGE_REVERSED);

        range.setStart(comparator.fromString(sliceStart == null ? "" : sliceStart));
        range.setFinish(comparator.fromString(sliceEnd == null ? "" : sliceEnd));
        range.setReversed(reversed == null ? false : reversed.equals("true"));
        range.setCount(cassandraSplit.getSlicePredicateSize());
        predicate.setSlice_range(range);
    } else {
        int iKey = columns.indexOf(CassandraColumnSerDe.CASSANDRA_KEY_COLUMN);
        predicate.setColumn_names(getColumnNames(iKey, columns, readColIDs));
    }

    try {

        boolean wideRows = false;
        if (isTransposed && tac.getConfiguration()
                .getBoolean(CassandraColumnSerDe.CASSANDRA_ENABLE_WIDEROW_ITERATOR, true)) {
            wideRows = true;
        }

        ConfigHelper.setInputColumnFamily(tac.getConfiguration(), cassandraSplit.getKeyspace(),
                cassandraSplit.getColumnFamily(), wideRows);

        ConfigHelper.setInputSlicePredicate(tac.getConfiguration(), predicate);
        ConfigHelper.setRangeBatchSize(tac.getConfiguration(), cassandraSplit.getRangeBatchSize());
        ConfigHelper.setInputRpcPort(tac.getConfiguration(), cassandraSplit.getPort() + "");
        ConfigHelper.setInputInitialAddress(tac.getConfiguration(), cassandraSplit.getHost());
        ConfigHelper.setInputPartitioner(tac.getConfiguration(), cassandraSplit.getPartitioner());
        // Set Split Size
        ConfigHelper.setInputSplitSize(tac.getConfiguration(), cassandraSplit.getSplitSize());

        LOG.info("Validators : " + tac.getConfiguration().get(CassandraColumnSerDe.CASSANDRA_VALIDATOR_TYPE));
        List<IndexExpression> indexExpr = parseFilterPredicate(jobConf);
        if (indexExpr != null) {
            //We have pushed down a filter from the Hive query, we can use this against secondary indexes
            ConfigHelper.setInputRange(tac.getConfiguration(), indexExpr);
        }

        CassandraHiveRecordReader rr = new CassandraHiveRecordReader(new ColumnFamilyRecordReader(),
                isTransposed);

        rr.initialize(cfSplit, tac);

        return rr;

    } catch (Exception ie) {
        throw new IOException(ie);
    }
}

---