use of io.cdap.cdap.api.dataset.lib.partitioned.PartitionConsumer 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);
}
});
}
use of io.cdap.cdap.api.dataset.lib.partitioned.PartitionConsumer 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));
}
});
}
use of io.cdap.cdap.api.dataset.lib.partitioned.PartitionConsumer 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());
}
});
}
use of io.cdap.cdap.api.dataset.lib.partitioned.PartitionConsumer in project cdap by caskdata.
the class PartitionConsumerTest method testCustomOperations.
@Test
public void testCustomOperations() throws Exception {
final PartitionedFileSet dataset = dsFrameworkUtil.getInstance(pfsInstance);
final TransactionAware txAwareDataset = (TransactionAware) dataset;
ConsumerConfiguration configuration = ConsumerConfiguration.builder().setMaxRetries(3).build();
final PartitionConsumer partitionConsumer = new CustomConsumer(dataset, new InMemoryStatePersistor(), configuration);
final int numPartitions = 3;
final List<PartitionKey> partitionKeys = new ArrayList<>(numPartitions);
for (int i = 0; i < numPartitions; i++) {
partitionKeys.add(generateUniqueKey());
}
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 {
List<PartitionDetail> partitions = partitionConsumer.consumePartitions().getPartitions();
Assert.assertEquals(numPartitions, partitions.size());
partitionConsumer.onFinish(partitions, false);
partitions = partitionConsumer.consumePartitions().getPartitions();
Assert.assertEquals(numPartitions, partitions.size());
partitionConsumer.onFinish(partitions, false);
// after two failure attempts, the partitions are now returned individually
partitions = partitionConsumer.consumePartitions().getPartitions();
Assert.assertEquals(1, partitions.size());
partitionConsumer.onFinish(partitions, true);
partitions = partitionConsumer.consumePartitions().getPartitions();
Assert.assertEquals(1, partitions.size());
partitionConsumer.onFinish(partitions, true);
partitions = partitionConsumer.consumePartitions().getPartitions();
Assert.assertEquals(1, partitions.size());
partitionConsumer.onFinish(partitions, true);
}
});
}
use of io.cdap.cdap.api.dataset.lib.partitioned.PartitionConsumer in project cdap by cdapio.
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));
}
});
}
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