Example usage for org.apache.hadoop.io IntWritable hashCode

Introduction

In this page you can find the example usage for org.apache.hadoop.io IntWritable hashCode.

Prototype

@Override
    public int hashCode() 

Source Link

Usage

From source file:org.apache.crunch.lib.TupleWritablePartitionerTest.java

License:Apache License

@Test
public void testGetPartition_NegativeHashValue() {
    IntWritable intWritable = new IntWritable(-3);
    // Sanity check, if this doesn't work then the premise of this test is wrong
    assertEquals(-3, intWritable.hashCode());

    TupleWritable key = new TupleWritable(new Writable[] { intWritable });
    assertEquals(3, tupleWritableParitioner.getPartition(key, NullWritable.get(), 5));
    assertEquals(1, tupleWritableParitioner.getPartition(key, NullWritable.get(), 2));
}

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From source file:org.apache.crunch.lib.TupleWritablePartitionerTest.java

License:Apache License

@Test
public void testGetPartition_IntegerMinValue() {
    IntWritable intWritable = new IntWritable(Integer.MIN_VALUE);
    // Sanity check, if this doesn't work then the premise of this test is wrong
    assertEquals(Integer.MIN_VALUE, intWritable.hashCode());

    TupleWritable key = new TupleWritable(new Writable[] { intWritable });
    assertEquals(0, tupleWritableParitioner.getPartition(key, NullWritable.get(), Integer.MAX_VALUE));
}

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From source file:org.shadowmask.engine.hive.udf.UDFHashTest.java

License:Apache License

@Test
public void testUDFHash() {
    UDFHash udfHash = new UDFHash();
    Text data1 = new Text("hello");
    IntWritable result = udfHash.evaluate(data1);
    assertEquals(data1.hashCode(), result.get());
    LongWritable data2 = new LongWritable(80000000000L);
    result = udfHash.evaluate(data2);/*w  ww  . j a v  a 2 s .  c o  m*/
    assertEquals(data2.hashCode(), result.get());
    IntWritable data3 = new IntWritable(345);
    result = udfHash.evaluate(data3);
    assertEquals(data3.hashCode(), result.get());

    data3 = null;
    result = udfHash.evaluate(data3);
    assertNull(result);
}

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