Examples with ConcurrentPartitionConsumer co.cask.cdap.api.dataset.lib.partitioned.ConcurrentPartitionConsumer used on opensource projects

Example 1 with ConcurrentPartitionConsumer

use of co.cask.cdap.api.dataset.lib.partitioned.ConcurrentPartitionConsumer in project cdap by caskdata.

the class PartitionConsumerTest method testNumRetries.

@Test
public void testNumRetries() throws Exception {
    final PartitionedFileSet dataset = dsFrameworkUtil.getInstance(pfsInstance);
    final TransactionAware txAwareDataset = (TransactionAware) dataset;
    final int numRetries = 1;
    ConsumerConfiguration configuration = ConsumerConfiguration.builder().setMaxRetries(numRetries).build();
    final PartitionConsumer partitionConsumer = new ConcurrentPartitionConsumer(dataset, new InMemoryStatePersistor(), configuration);
    final PartitionKey partitionKey = generateUniqueKey();
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            dataset.getPartitionOutput(partitionKey).addPartition();
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            // from the working set
            for (int i = 0; i < numRetries + 1; i++) {
                List<PartitionDetail> partitionDetails = partitionConsumer.consumePartitions(1).getPartitions();
                Assert.assertEquals(1, partitionDetails.size());
                Assert.assertEquals(partitionKey, partitionDetails.get(0).getPartitionKey());
                // aborting the processing of the partition
                partitionConsumer.onFinish(partitionDetails, false);
            }
            // after the 2nd abort, the partition is discarded entirely, and so no partitions are available for consuming
            PartitionConsumerResult result = partitionConsumer.consumePartitions(1);
            Assert.assertEquals(0, result.getPartitions().size());
            Assert.assertEquals(1, result.getFailedPartitions().size());
            Assert.assertEquals(partitionKey, result.getFailedPartitions().get(0).getPartitionKey());
        }
    });
}

Example 2 with ConcurrentPartitionConsumer

use of co.cask.cdap.api.dataset.lib.partitioned.ConcurrentPartitionConsumer in project cdap by caskdata.

the class PartitionConsumerTest method testDroppedPartitions.

@Test
public void testDroppedPartitions() throws Exception {
    // Tests the case of a partition in the partition consumer working set being dropped from the Partitioned
    // FileSet (See CDAP-6215)
    final PartitionedFileSet dataset = dsFrameworkUtil.getInstance(pfsInstance);
    final TransactionAware txAwareDataset = (TransactionAware) dataset;
    ConsumerConfiguration configuration = ConsumerConfiguration.builder().setMaxWorkingSetSize(1).setMaxRetries(2).build();
    final PartitionConsumer partitionConsumer = new ConcurrentPartitionConsumer(dataset, new InMemoryStatePersistor(), configuration);
    final PartitionKey partitionKey1 = generateUniqueKey();
    final PartitionKey partitionKey2 = generateUniqueKey();
    // Note: These two partitions are added in separate transactions, so that the first can exist in the working set
    // without the second. Partitions in the same transaction can not be split up (due to their index being the same)
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            dataset.getPartitionOutput(partitionKey1).addPartition();
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            dataset.getPartitionOutput(partitionKey2).addPartition();
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            // consuming and aborting the partition numRetries times plus one (for the first attempt) makes it get removed
            // from the working set
            List<PartitionDetail> partitionDetails = partitionConsumer.consumePartitions(1).getPartitions();
            Assert.assertEquals(1, partitionDetails.size());
            Assert.assertEquals(partitionKey1, partitionDetails.get(0).getPartitionKey());
            // aborting the processing of the partition, to put it back in the working set
            partitionConsumer.onFinish(partitionDetails, false);
        }
    });
    // dropping partitionKey1 from the dataset makes it no longer available for consuming
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            dataset.dropPartition(partitionKey1);
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            // first call to consume will drop the partition from the working set, and return nothing, since it was
            // the only partition in the working set
            PartitionConsumerResult result = partitionConsumer.consumePartitions(1);
            Assert.assertEquals(0, result.getPartitions().size());
            Assert.assertEquals(0, result.getFailedPartitions().size());
            // following calls to consumePartitions will repopulate the working set and return additional partition(s)
            result = partitionConsumer.consumePartitions(1);
            Assert.assertEquals(1, result.getPartitions().size());
            Assert.assertEquals(partitionKey2, result.getPartitions().get(0).getPartitionKey());
        }
    });
}

Example 3 with ConcurrentPartitionConsumer

use of co.cask.cdap.api.dataset.lib.partitioned.ConcurrentPartitionConsumer in project cdap by caskdata.

the class PartitionConsumerTest method testPartitionPutback.

@Test
public void testPartitionPutback() throws Exception {
    final PartitionedFileSet dataset = dsFrameworkUtil.getInstance(pfsInstance);
    final TransactionAware txAwareDataset = (TransactionAware) dataset;
    final Set<PartitionKey> partitionKeys = new HashSet<>();
    for (int i = 0; i < 10; i++) {
        partitionKeys.add(generateUniqueKey());
    }
    final PartitionConsumer partitionConsumer = new ConcurrentPartitionConsumer(dataset, new InMemoryStatePersistor(), ConsumerConfiguration.builder().setMaxRetries(1).build());
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            for (PartitionKey partitionKey : partitionKeys) {
                dataset.getPartitionOutput(partitionKey).addPartition();
            }
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            // consume all the partitions
            List<? extends Partition> consumedPartitions = partitionConsumer.consumePartitions().getPartitions();
            Assert.assertEquals(partitionKeys, toKeys(consumedPartitions));
            // consuming the partitions again, without adding any new partitions returns an empty iterator
            Assert.assertTrue(partitionConsumer.consumePartitions().getPartitions().isEmpty());
            // and testing that they are still available for processing, and that there are no failed partitions
            for (int i = 0; i < 5; i++) {
                partitionConsumer.untake(consumedPartitions);
                PartitionConsumerResult result = partitionConsumer.consumePartitions();
                consumedPartitions = result.getPartitions();
                Assert.assertEquals(partitionKeys, toKeys(consumedPartitions));
                Assert.assertEquals(0, result.getFailedPartitions().size());
            }
            // consuming the partitions again, without adding any new partitions returns an empty iterator
            Assert.assertTrue(partitionConsumer.consumePartitions().getPartitions().isEmpty());
            // test functionality to put back a partial subset of the retrieved the partitions
            Partition firstConsumedPartition = consumedPartitions.get(0);
            // test the untakeWithKeys method
            partitionConsumer.untakeWithKeys(ImmutableList.of(firstConsumedPartition.getPartitionKey()));
            consumedPartitions = partitionConsumer.consumePartitions().getPartitions();
            Assert.assertEquals(1, consumedPartitions.size());
            Assert.assertEquals(firstConsumedPartition, consumedPartitions.get(0));
        }
    });
}

Example 4 with ConcurrentPartitionConsumer

use of co.cask.cdap.api.dataset.lib.partitioned.ConcurrentPartitionConsumer in project cdap by caskdata.

the class PartitionConsumerTest method testSimplePartitionConsuming.

@Test
public void testSimplePartitionConsuming() throws Exception {
    final PartitionedFileSet dataset = dsFrameworkUtil.getInstance(pfsInstance);
    final TransactionAware txAwareDataset = (TransactionAware) dataset;
    final Set<PartitionKey> partitionKeys1 = new HashSet<>();
    for (int i = 0; i < 10; i++) {
        partitionKeys1.add(generateUniqueKey());
    }
    final Set<PartitionKey> partitionKeys2 = new HashSet<>();
    for (int i = 0; i < 15; i++) {
        partitionKeys2.add(generateUniqueKey());
    }
    final PartitionConsumer partitionConsumer = new ConcurrentPartitionConsumer(dataset, new InMemoryStatePersistor());
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            for (PartitionKey partitionKey : partitionKeys1) {
                dataset.getPartitionOutput(partitionKey).addPartition();
            }
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            // Initial consumption results in the partitions corresponding to partitionKeys1 to be consumed because only
            // those partitions are added to the dataset at this point
            List<? extends Partition> consumedPartitions = partitionConsumer.consumePartitions().getPartitions();
            Assert.assertEquals(partitionKeys1, toKeys(consumedPartitions));
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            for (PartitionKey partitionKey : partitionKeys2) {
                dataset.getPartitionOutput(partitionKey).addPartition();
            }
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            // using the same PartitionConsumer (which remembers the PartitionConsumerState) to consume additional
            // partitions results in only the newly added partitions (corresponding to partitionKeys2) to be returned
            Assert.assertEquals(partitionKeys2, toKeys(partitionConsumer.consumePartitions().getPartitions()));
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            // consuming the partitions again, without adding any new partitions returns an empty iterator
            Assert.assertTrue(partitionConsumer.consumePartitions().getPartitions().isEmpty());
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            // creating a new PartitionConsumer resets the consumption state. Consuming from it then returns an iterator
            // with all the partition keys
            List<? extends Partition> consumedPartitions = new ConcurrentPartitionConsumer(dataset, new InMemoryStatePersistor()).consumePartitions().getPartitions();
            Set<PartitionKey> allKeys = new HashSet<>();
            allKeys.addAll(partitionKeys1);
            allKeys.addAll(partitionKeys2);
            Assert.assertEquals(allKeys, toKeys(consumedPartitions));
        }
    });
}

Example 5 with ConcurrentPartitionConsumer

use of co.cask.cdap.api.dataset.lib.partitioned.ConcurrentPartitionConsumer in project cdap by caskdata.

the class PartitionConsumerTest method testPartitionConsumingWithFilterAndLimit.

@Test
public void testPartitionConsumingWithFilterAndLimit() throws Exception {
    final PartitionedFileSet dataset = dsFrameworkUtil.getInstance(pfsInstance);
    final TransactionAware txAwareDataset = (TransactionAware) dataset;
    final Set<PartitionKey> partitionKeys1 = new HashSet<>();
    for (int i = 0; i < 10; i++) {
        partitionKeys1.add(generateUniqueKey());
    }
    final Set<PartitionKey> partitionKeys2 = new HashSet<>();
    for (int i = 0; i < 15; i++) {
        partitionKeys2.add(generateUniqueKey());
    }
    final PartitionConsumer partitionConsumer = new ConcurrentPartitionConsumer(dataset, new InMemoryStatePersistor());
    // (consumption only happens at transaction borders)
    for (final PartitionKey partitionKey : partitionKeys1) {
        dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

            @Override
            public void apply() throws Exception {
                dataset.getPartitionOutput(partitionKey).addPartition();
            }
        });
    }
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            // Initial consumption results in the partitions corresponding to partitionKeys1 to be consumed because only
            // those partitions are added to the dataset at this point
            List<Partition> consumedPartitions = new ArrayList<>();
            // with limit = 1, the returned iterator is only size 1, even though there are more unconsumed partitions
            Iterables.addAll(consumedPartitions, partitionConsumer.consumePartitions(1).getPartitions());
            Assert.assertEquals(1, consumedPartitions.size());
            // ask for 5 more
            Iterables.addAll(consumedPartitions, partitionConsumer.consumePartitions(5).getPartitions());
            Assert.assertEquals(6, consumedPartitions.size());
            // ask for 5 more, but there are only 4 more unconsumed partitions (size of partitionKeys1 is 10).
            Iterables.addAll(consumedPartitions, partitionConsumer.consumePartitions(5).getPartitions());
            Assert.assertEquals(10, consumedPartitions.size());
            Assert.assertEquals(partitionKeys1, toKeys(consumedPartitions));
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            for (PartitionKey partitionKey : partitionKeys2) {
                dataset.getPartitionOutput(partitionKey).addPartition();
            }
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            // using the same PartitionConsumer (which remembers the PartitionConsumerState) to consume additional
            // partitions results in only the newly added partitions (corresponding to partitionKeys2) to be returned
            Assert.assertEquals(partitionKeys2, toKeys(partitionConsumer.consumePartitions().getPartitions()));
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            // consuming the partitions again, without adding any new partitions returns an empty iterator
            Assert.assertTrue(partitionConsumer.consumePartitions().getPartitions().isEmpty());
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            // creating a new PartitionConsumer resets the consumption state.
            // test combination of filter and limit
            // the partitionFilter will match partitionKeys [1, 7), of which there are 6
            final PartitionFilter partitionFilter = PartitionFilter.builder().addRangeCondition("i", 1, 7).build();
            final Predicate<PartitionDetail> predicate = new Predicate<PartitionDetail>() {

                @Override
                public boolean apply(PartitionDetail partitionDetail) {
                    return partitionFilter.match(partitionDetail.getPartitionKey());
                }
            };
            ConsumerConfiguration configuration = ConsumerConfiguration.builder().setPartitionPredicate(predicate).build();
            PartitionConsumer newPartitionConsumer = new ConcurrentPartitionConsumer(dataset, new InMemoryStatePersistor(), configuration);
            List<Partition> consumedPartitions = new ArrayList<>();
            // apply the filter (narrows it down to 6 elements) and apply a limit of 4 results in 4 consumed partitions
            Iterables.addAll(consumedPartitions, newPartitionConsumer.consumePartitions(4).getPartitions());
            Assert.assertEquals(4, consumedPartitions.size());
            // apply a limit of 3, using the same filter returns the remaining 2 elements that fit that filter
            Iterables.addAll(consumedPartitions, newPartitionConsumer.consumePartitions(3).getPartitions());
            Assert.assertEquals(6, consumedPartitions.size());
            // assert that the partitions returned have partition keys, where the i values range from [1, 7]
            Set<Integer> expectedIFields = new HashSet<>();
            for (int i = 1; i < 7; i++) {
                expectedIFields.add(i);
            }
            Set<Integer> actualIFields = new HashSet<>();
            for (Partition consumedPartition : consumedPartitions) {
                actualIFields.add((Integer) consumedPartition.getPartitionKey().getField("i"));
            }
            Assert.assertEquals(expectedIFields, actualIFields);
        }
    });
}