Examples with PartitionDetail io.cdap.cdap.api.dataset.lib.PartitionDetail used on opensource projects

Example 6 with PartitionDetail

use of io.cdap.cdap.api.dataset.lib.PartitionDetail in project cdap by caskdata.

the class PartitionConsumerTest method testConsumeAfterDelete.

@Test
public void testConsumeAfterDelete() throws Exception {
    final PartitionedFileSet dataset = dsFrameworkUtil.getInstance(pfsInstance);
    final TransactionAware txAwareDataset = (TransactionAware) dataset;
    final Set<PartitionKey> partitionKeys1 = new HashSet<>();
    for (int i = 0; i < 3; i++) {
        partitionKeys1.add(generateUniqueKey());
    }
    // need to ensure that our consumerConfiguration is larger than the amount we consume initially, so that
    // additional partitions (which will be deleted afterwards) are brought into the working set
    ConsumerConfiguration consumerConfiguration = ConsumerConfiguration.builder().setMaxWorkingSetSize(100).build();
    final PartitionConsumer partitionConsumer = new ConcurrentPartitionConsumer(dataset, new InMemoryStatePersistor(), consumerConfiguration);
    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 {
            // and not consumed
            for (int i = 0; i < 2; i++) {
                dataset.getPartitionOutput(generateUniqueKey()).addPartition();
            }
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            // consume 3 of the 5 initial partitions
            Assert.assertEquals(partitionKeys1, toKeys(partitionConsumer.consumePartitions(3).getPartitions()));
        }
    });
    final Set<PartitionKey> partitionKeys2 = new HashSet<>();
    for (int i = 0; i < 5; i++) {
        partitionKeys2.add(generateUniqueKey());
    }
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            // drop all existing partitions (2 of which are not consumed)
            for (PartitionDetail partitionDetail : dataset.getPartitions(PartitionFilter.ALWAYS_MATCH)) {
                dataset.dropPartition(partitionDetail.getPartitionKey());
            }
            // add 5 new ones
            for (PartitionKey partitionKey : partitionKeys2) {
                dataset.getPartitionOutput(partitionKey).addPartition();
            }
        }
    });
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

        @Override
        public void apply() throws Exception {
            // the consumed partition keys should correspond to partitionKeys2, and not include the dropped, but unconsumed
            // partitions added before them
            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 added after the deletions
            ConcurrentPartitionConsumer partitionConsumer2 = new ConcurrentPartitionConsumer(dataset, new InMemoryStatePersistor());
            Assert.assertEquals(partitionKeys2, toKeys(partitionConsumer2.consumePartitions().getPartitions()));
        }
    });
}

Example 7 with PartitionDetail

use of io.cdap.cdap.api.dataset.lib.PartitionDetail in project cdap by caskdata.

the class TimePartitionedFileSetTest method validateTimePartition.

private void validateTimePartition(TimePartitionedFileSet dataset, long time, String path) {
    PartitionDetail partitionDetail = dataset.getPartitionByTime(time);
    Assert.assertEquals(path == null, partitionDetail == null);
    Assert.assertTrue(path == null || partitionDetail == null || path.equals(partitionDetail.getRelativePath()));
}

Example 8 with PartitionDetail

use of io.cdap.cdap.api.dataset.lib.PartitionDetail 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);
        }
    });
}

Example 9 with PartitionDetail

use of io.cdap.cdap.api.dataset.lib.PartitionDetail in project cdap by caskdata.

the class PartitionConsumerTest method testSimpleConcurrency.

@Test
public void testSimpleConcurrency() 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());
    }
    // have ConcurrentPartitionConsumers that share the same state.
    InMemoryStatePersistor persistor = new InMemoryStatePersistor();
    ConsumerConfiguration configuration = ConsumerConfiguration.builder().setMaxRetries(3).build();
    final PartitionConsumer partitionConsumer1 = new ConcurrentPartitionConsumer(dataset, persistor, configuration);
    final PartitionConsumer partitionConsumer2 = new ConcurrentPartitionConsumer(dataset, persistor, configuration);
    final PartitionConsumer partitionConsumer3 = new ConcurrentPartitionConsumer(dataset, persistor, configuration);
    // add all ten keys to the partitioned fileset
    dsFrameworkUtil.newInMemoryTransactionExecutor(txAwareDataset).execute(new TransactionExecutor.Subroutine() {

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

        @Override
        public void apply() throws Exception {
            // with limit = 1, the returned iterator is only size 1, even though there are more unconsumed partitions
            List<PartitionDetail> consumedBy1 = partitionConsumer1.consumePartitions(1).getPartitions();
            Assert.assertEquals(1, consumedBy1.size());
            // partitionConsumer2 asks for 10 partitions, but 1 is currently in progress by partitionConsumer1, so it only
            // gets the remaining 9 partitions
            List<PartitionDetail> consumedBy2 = partitionConsumer2.consumePartitions(10).getPartitions();
            Assert.assertEquals(9, consumedBy2.size());
            // partitionConsumer3 tries to consume partitions, but all are marked in-progress by partitionConsumer 1 and 2
            Assert.assertEquals(0, partitionConsumer3.consumePartitions().getPartitions().size());
            // partitionConsumer1 aborts its partition, so it then becomes available for partitionConsumer3
            partitionConsumer1.onFinish(consumedBy1, false);
            consumedBy1.clear();
            // queries with limit=2, but only the 1 is available that partitionConsumer1 released
            List<PartitionDetail> consumedBy3 = partitionConsumer3.consumePartitions(2).getPartitions();
            Assert.assertEquals(1, consumedBy3.size());
            // partitionConsumers 2 and 3 marks that it successfully processed the partitions
            partitionConsumer3.onFinish(consumedBy3, true);
            // test onFinishWithKeys API
            List<PartitionKey> keysConsumedBy2 = Lists.transform(consumedBy2, new Function<PartitionDetail, PartitionKey>() {

                @Override
                public PartitionKey apply(PartitionDetail input) {
                    return input.getPartitionKey();
                }
            });
            partitionConsumer2.onFinishWithKeys(keysConsumedBy2, true);
            // at this point, all partitions are processed, so no additional partitions are available for consumption
            Assert.assertEquals(0, partitionConsumer3.consumePartitions().getPartitions().size());
            List<PartitionDetail> allProcessedPartitions = new ArrayList<>();
            allProcessedPartitions.addAll(consumedBy1);
            allProcessedPartitions.addAll(consumedBy2);
            allProcessedPartitions.addAll(consumedBy3);
            // ordering may be different, since all the partitions were added in the same transaction
            Assert.assertEquals(partitionKeys, toKeys(allProcessedPartitions));
        }
    });
}

Example 10 with PartitionDetail

use of io.cdap.cdap.api.dataset.lib.PartitionDetail in project cdap by caskdata.

the class PartitionedFileSetTest method testPartitionConsumingWithFilterAndLimit.

@Test
public void testPartitionConsumingWithFilterAndLimit() throws Exception {
    final PartitionedFileSet dataset = dsFrameworkUtil.getInstance(pfsInstance);
    final TransactionAware txAwareDataset = (TransactionAware) dataset;
    final Set<PartitionKey> partitionKeys1 = Sets.newHashSet();
    for (int i = 0; i < 10; i++) {
        partitionKeys1.add(generateUniqueKey());
    }
    final Set<PartitionKey> partitionKeys2 = Sets.newHashSet();
    for (int i = 0; i < 15; i++) {
        partitionKeys2.add(generateUniqueKey());
    }
    final SimplePartitionConsumer partitionConsumer = new SimplePartitionConsumer(dataset);
    // (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 = Lists.newArrayList();
            // with limit = 1, the returned iterator is only size 1, even though there are more unconsumed partitions
            Iterables.addAll(consumedPartitions, partitionConsumer.consumePartitions(1));
            Assert.assertEquals(1, consumedPartitions.size());
            // ask for 5 more
            Iterables.addAll(consumedPartitions, partitionConsumer.consumePartitions(5));
            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));
            Assert.assertEquals(10, consumedPartitions.size());
            Set<PartitionKey> retrievedKeys = Sets.newHashSet();
            for (Partition consumedPartition : consumedPartitions) {
                retrievedKeys.add(consumedPartition.getPartitionKey());
            }
            Assert.assertEquals(partitionKeys1, retrievedKeys);
        }
    });
    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
            List<Partition> consumedPartitions = Lists.newArrayList();
            Iterables.addAll(consumedPartitions, partitionConsumer.consumePartitions(1));
            // even though we set limit to 1 in the previous call to consumePartitions, we get all the elements of
            // partitionKeys2, because they were all added in the same transaction
            Set<PartitionKey> retrievedKeys = Sets.newHashSet();
            for (Partition consumedPartition : consumedPartitions) {
                retrievedKeys.add(consumedPartition.getPartitionKey());
            }
            Assert.assertEquals(partitionKeys2, retrievedKeys);
        }
    });
    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().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
            SimplePartitionConsumer newPartitionConsumer = new SimplePartitionConsumer(dataset);
            List<Partition> consumedPartitions = Lists.newArrayList();
            // 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());
                }
            };
            // 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, predicate));
            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, predicate));
            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);
        }
    });
}