Examples with InputDescriptor org.apache.tez.dag.api.InputDescriptor used on opensource projects

Example 36 with InputDescriptor

use of org.apache.tez.dag.api.InputDescriptor in project tez by apache.

the class TestWeightedScalingMemoryDistributor method testAdditionalReserveFractionWeightedScalingNonConcurrent.

@Test(timeout = 5000)
public void testAdditionalReserveFractionWeightedScalingNonConcurrent() throws TezException {
    Configuration conf = new Configuration(this.conf);
    conf.setBoolean(TezConfiguration.TEZ_TASK_SCALE_MEMORY_INPUT_OUTPUT_CONCURRENT, false);
    conf.setBoolean(TezConfiguration.TEZ_TASK_SCALE_MEMORY_NON_CONCURRENT_INPUTS_ENABLED, true);
    conf.setStrings(TezConfiguration.TEZ_TASK_SCALE_MEMORY_WEIGHTED_RATIOS, WeightedScalingMemoryDistributor.generateWeightStrings(0, 0, 2, 3, 6, 1, 1));
    conf.setDouble(TezConfiguration.TEZ_TASK_SCALE_MEMORY_ADDITIONAL_RESERVATION_FRACTION_PER_IO, 0.025d);
    conf.setDouble(TezConfiguration.TEZ_TASK_SCALE_MEMORY_ADDITIONAL_RESERVATION_FRACTION_MAX, 0.2d);
    MemoryDistributor dist = new MemoryDistributor(2, 2, conf);
    dist.setJvmMemory(10000l);
    // First request - ScatterGatherShuffleInput [weight 6]
    MemoryUpdateCallbackForTest e1Callback = new MemoryUpdateCallbackForTest();
    InputContext e1InputContext1 = createTestInputContext();
    InputDescriptor e1InDesc1 = createTestInputDescriptor(OrderedGroupedKVInput.class);
    dist.requestMemory(10000, e1Callback, e1InputContext1, e1InDesc1);
    // Second request - BroadcastInput [weight 2]
    MemoryUpdateCallbackForTest e2Callback = new MemoryUpdateCallbackForTest();
    InputContext e2InputContext2 = createTestInputContext();
    InputDescriptor e2InDesc2 = createTestInputDescriptor(UnorderedKVInput.class);
    dist.requestMemory(10000, e2Callback, e2InputContext2, e2InDesc2);
    // Third request - randomOutput (simulates MROutput) [weight 1]
    MemoryUpdateCallbackForTest e3Callback = new MemoryUpdateCallbackForTest();
    OutputContext e3OutputContext1 = createTestOutputContext();
    OutputDescriptor e3OutDesc1 = createTestOutputDescriptor();
    dist.requestMemory(10000, e3Callback, e3OutputContext1, e3OutDesc1);
    // Fourth request - OnFileSortedOutput [weight 3]
    MemoryUpdateCallbackForTest e4Callback = new MemoryUpdateCallbackForTest();
    OutputContext e4OutputContext2 = createTestOutputContext();
    OutputDescriptor e4OutDesc2 = createTestOutputDescriptor(OrderedPartitionedKVOutput.class);
    dist.requestMemory(10000, e4Callback, e4OutputContext2, e4OutDesc2);
    dist.makeInitialAllocations();
    // Total available: 60% of 10K = 6000
    // 4 requests (weight) - 10K (6), 10K(2), 10K(1), 10K(3)
    // Overlap input and output memory
    assertEquals(4500, e1Callback.assigned);
    assertEquals(1500, e2Callback.assigned);
    assertEquals(1500, e3Callback.assigned);
    assertEquals(4500, e4Callback.assigned);
}

Example 37 with InputDescriptor

use of org.apache.tez.dag.api.InputDescriptor in project tez by apache.

the class TestWeightedScalingMemoryDistributor method testWeightedScalingNonConcurrentInputsDisabled.

@Test(timeout = 5000)
public void testWeightedScalingNonConcurrentInputsDisabled() throws TezException {
    Configuration conf = new Configuration(this.conf);
    conf.setBoolean(TezConfiguration.TEZ_TASK_SCALE_MEMORY_INPUT_OUTPUT_CONCURRENT, false);
    conf.setBoolean(TezConfiguration.TEZ_TASK_SCALE_MEMORY_NON_CONCURRENT_INPUTS_ENABLED, false);
    conf.setDouble(TezConfiguration.TEZ_TASK_SCALE_MEMORY_RESERVE_FRACTION, 0.2);
    conf.setStrings(TezConfiguration.TEZ_TASK_SCALE_MEMORY_WEIGHTED_RATIOS, WeightedScalingMemoryDistributor.generateWeightStrings(0, 0, 1, 2, 3, 1, 1));
    System.err.println(Joiner.on(",").join(conf.getStringCollection(TezConfiguration.TEZ_TASK_SCALE_MEMORY_WEIGHTED_RATIOS)));
    MemoryDistributor dist = new MemoryDistributor(2, 2, conf);
    dist.setJvmMemory(10000l);
    // First request - ScatterGatherShuffleInput
    MemoryUpdateCallbackForTest e1Callback = new MemoryUpdateCallbackForTest();
    InputContext e1InputContext1 = createTestInputContext();
    InputDescriptor e1InDesc1 = createTestInputDescriptor(OrderedGroupedKVInput.class);
    dist.requestMemory(10000, e1Callback, e1InputContext1, e1InDesc1);
    // Second request - BroadcastInput
    MemoryUpdateCallbackForTest e2Callback = new MemoryUpdateCallbackForTest();
    InputContext e2InputContext2 = createTestInputContext();
    InputDescriptor e2InDesc2 = createTestInputDescriptor(UnorderedKVInput.class);
    dist.requestMemory(10000, e2Callback, e2InputContext2, e2InDesc2);
    // Third request - randomOutput (simulates MROutput)
    MemoryUpdateCallbackForTest e3Callback = new MemoryUpdateCallbackForTest();
    OutputContext e3OutputContext1 = createTestOutputContext();
    OutputDescriptor e3OutDesc1 = createTestOutputDescriptor();
    dist.requestMemory(10000, e3Callback, e3OutputContext1, e3OutDesc1);
    // Fourth request - OnFileSortedOutput
    MemoryUpdateCallbackForTest e4Callback = new MemoryUpdateCallbackForTest();
    OutputContext e4OutputContext2 = createTestOutputContext();
    OutputDescriptor e4OutDesc2 = createTestOutputDescriptor(OrderedPartitionedKVOutput.class);
    dist.requestMemory(10000, e4Callback, e4OutputContext2, e4OutDesc2);
    // Fifth request - Processor
    MemoryUpdateCallbackForTest e5Callback = new MemoryUpdateCallbackForTest();
    ProcessorContext e5ProcContext = createTestProcessortContext();
    ProcessorDescriptor e5ProcDesc = createTestProcessorDescriptor();
    dist.requestMemory(10000, e5Callback, e5ProcContext, e5ProcDesc);
    dist.makeInitialAllocations();
    // Total available: 80% of 10K = 8000
    // 5 requests (weight) - 10K (3), 10K(1), 10K(1), 10K(2), 10K(1)
    // Overlap input and output memory
    assertEquals(3000, e1Callback.assigned);
    assertEquals(1000, e2Callback.assigned);
    assertEquals(2333, e3Callback.assigned);
    assertEquals(4666, e4Callback.assigned);
    assertEquals(1000, e5Callback.assigned);
}