use of co.cask.cdap.api.dataset.lib.PartitionOutput in project cdap by caskdata.
the class PartitionRollbackTestRun method testPFSRollback.
/*
* This tests all the following cases:
*
* 1. addPartition(location) fails because partition already exists
* 2. addPartition(location) fails because Hive partition already exists
* 3. addPartition(location) succeeds but transaction fails
* 4. getPartitionOutput() fails because partition already exists
* 5. partitionOutput.addPartition() fails because Hive partition already exists
* 6. partitionOutput.addPartition() succeeds but transaction fails
* 7. mapreduce writing partition fails because location already exists
* 8. mapreduce writing partition fails because partition already exists
* 9. mapreduce writing partition fails because Hive partition already exists
* 10. mapreduce writing dynamic partition fails because location already exists
* 11. mapreduce writing dynamic partition fails because partition already exists
* 12. mapreduce writing dynamic partition fails because Hive partition already exists
* 13. multi-output mapreduce writing partition fails because location already exists
* 13a. first output fails, other output must rollback 0 and 5
* 13b. second output fails, first output must rollback 0 and 5
* 14. multi-output mapreduce writing partition fails because partition already exists
* 14a. first output fails, other output must rollback partition 5
* 14b. second output fails, first output must rollback partition 5
* 15. multi-output mapreduce writing partition fails because Hive partition already exists
* 15a. first output fails, other output must rollback partitions 0 and 5
* 15b. second output fails, first output must rollback partitions 0 and 5
*
* For all these cases, we validate that existing files and partitions are preserved, and newly
* added files and partitions are rolled back.
*/
@Test
public void testPFSRollback() throws Exception {
ApplicationManager appManager = deployApplication(AppWritingToPartitioned.class);
MapReduceManager mrManager = appManager.getMapReduceManager(MAPREDUCE);
int numRuns = 0;
Validator pfsValidator = new Validator(PFS);
Validator otherValidator = new Validator(OTHER);
final UnitTestManager.UnitTestDatasetManager<PartitionedFileSet> pfsManager = pfsValidator.getPfsManager();
final PartitionedFileSet pfs = pfsManager.get();
final PartitionedFileSet other = otherValidator.getPfsManager().get();
final String path3 = pfsValidator.getRelativePath3();
// 1. addPartition(location) fails because partition already exists
try {
pfsManager.execute(new Runnable() {
@Override
public void run() {
pfs.addPartition(KEY_1, path3);
}
});
Assert.fail("Expected tx to fail because partition for number=1 already exists");
} catch (TransactionFailureException e) {
// expected
}
pfsValidator.validate();
// 2. addPartition(location) fails because Hive partition already exists
try {
pfsManager.execute(new Runnable() {
@Override
public void run() {
pfs.addPartition(KEY_4, path3);
}
});
Assert.fail("Expected tx to fail because hive partition for number=1 already exists");
} catch (TransactionFailureException e) {
// expected
}
pfsValidator.validate();
// 3. addPartition(location) succeeds but transaction fails
try {
pfsManager.execute(new Runnable() {
@Override
public void run() {
pfs.addPartition(KEY_3, path3);
throw new RuntimeException("fail the tx");
}
});
Assert.fail("Expected tx to fail because it threw a runtime exception");
} catch (TransactionFailureException e) {
// expected
}
pfsValidator.validate();
// 4. partitionOutput.getPartitionOutput() fails because partition already exists
try {
pfs.getPartitionOutput(KEY_1);
Assert.fail("Expected getPartitionOutput to fail, because the partition already exists.");
} catch (DataSetException expected) {
}
pfsValidator.validate();
// 5. partitionOutput.addPartition() fails because Hive partition already exists
final PartitionOutput output4x = pfs.getPartitionOutput(KEY_4);
final Location location4x = output4x.getLocation();
try (Writer writer = new OutputStreamWriter(location4x.append("file").getOutputStream())) {
writer.write("4x,4x\n");
}
try {
pfsManager.execute(new Runnable() {
@Override
public void run() {
output4x.addPartition();
}
});
Assert.fail("Expected tx to fail because hive partition for number=4 already exists");
} catch (TransactionFailureException e) {
// expected
}
pfsValidator.validate();
Assert.assertFalse(location4x.exists());
// 6. partitionOutput.addPartition() succeeds but transaction fails
final PartitionOutput output5x = pfs.getPartitionOutput(KEY_5);
final Location location5x = output5x.getLocation();
try (Writer writer = new OutputStreamWriter(location5x.append("file").getOutputStream())) {
writer.write("5x,5x\n");
}
try {
pfsManager.execute(new Runnable() {
@Override
public void run() {
output5x.addPartition();
throw new RuntimeException("fail the tx");
}
});
Assert.fail("Expected tx to fail because it threw a runtime exception");
} catch (TransactionFailureException e) {
// expected
}
pfsValidator.validate();
Assert.assertFalse(location5x.exists());
// 7. mapreduce writing partition fails because location already exists
mrManager.start(ImmutableMap.of(PFS_OUT, "1", "input.text", "1x"));
mrManager.waitForRuns(ProgramRunStatus.FAILED, ++numRuns, 2, TimeUnit.MINUTES);
pfsValidator.validate();
// 8. mapreduce writing partition fails because partition already exists
mrManager.start(ImmutableMap.of(PFS_OUT, "2", "input.text", "2x"));
mrManager.waitForRuns(ProgramRunStatus.FAILED, ++numRuns, 2, TimeUnit.MINUTES);
pfsValidator.validate();
Assert.assertFalse(pfs.getPartitionOutput(KEY_2).getLocation().exists());
// 9. mapreduce writing partition fails because Hive partition already exists
mrManager.start(ImmutableMap.of(PFS_OUT, "4", "input.text", "4x"));
mrManager.waitForRuns(ProgramRunStatus.FAILED, ++numRuns, 2, TimeUnit.MINUTES);
pfsValidator.validate();
Assert.assertFalse(pfs.getPartitionOutput(KEY_4).getLocation().exists());
// 10. mapreduce writing dynamic partition fails because location already exists
mrManager.start(ImmutableMap.of("input.text", "3x 5x"));
mrManager.waitForRuns(ProgramRunStatus.FAILED, ++numRuns, 2, TimeUnit.MINUTES);
pfsValidator.validate();
Assert.assertFalse(pfs.getPartitionOutput(KEY_5).getLocation().exists());
// 11. mapreduce writing dynamic partition fails because partition already exists
mrManager.start(ImmutableMap.of("input.text", "2x 5x"));
mrManager.waitForRuns(ProgramRunStatus.FAILED, ++numRuns, 2, TimeUnit.MINUTES);
pfsValidator.validate();
Assert.assertFalse(pfs.getPartitionOutput(KEY_2).getLocation().exists());
Assert.assertFalse(pfs.getPartitionOutput(KEY_5).getLocation().exists());
// 12. mapreduce writing dynamic partition fails because Hive partition already exists
mrManager.start(ImmutableMap.of("input.text", "0x 4x 5x"));
mrManager.waitForRuns(ProgramRunStatus.FAILED, ++numRuns, 2, TimeUnit.MINUTES);
pfsValidator.validate();
Assert.assertFalse(pfs.getPartitionOutput(KEY_0).getLocation().exists());
Assert.assertFalse(pfs.getPartitionOutput(KEY_4).getLocation().exists());
Assert.assertFalse(pfs.getPartitionOutput(KEY_5).getLocation().exists());
// 13. multi-output mapreduce writing partition fails because location already exists
// 13a. first output fails, other output must rollback 0 and 5
mrManager.start(ImmutableMap.of("output.datasets", BOTH, PFS_OUT, "1", "input.text", "0x 5x"));
mrManager.waitForRuns(ProgramRunStatus.FAILED, ++numRuns, 2, TimeUnit.MINUTES);
pfsValidator.validate();
otherValidator.validate();
Assert.assertFalse(other.getPartitionOutput(KEY_0).getLocation().exists());
Assert.assertFalse(other.getPartitionOutput(KEY_5).getLocation().exists());
// 13b. second output fails, first output must rollback 0 and 5
mrManager.start(ImmutableMap.of("output.datasets", BOTH, OTHER_OUT, "1", "input.text", "0x 5x"));
mrManager.waitForRuns(ProgramRunStatus.FAILED, ++numRuns, 2, TimeUnit.MINUTES);
pfsValidator.validate();
otherValidator.validate();
Assert.assertFalse(pfs.getPartitionOutput(KEY_0).getLocation().exists());
Assert.assertFalse(pfs.getPartitionOutput(KEY_5).getLocation().exists());
// 14. multi-output mapreduce writing partition fails because partition already exists
// 14a. first output fails, other output must rollback partition 5
mrManager.start(ImmutableMap.of("output.datasets", BOTH, PFS_OUT, "2", OTHER_OUT, "5", "input.text", "2x 5x"));
mrManager.waitForRuns(ProgramRunStatus.FAILED, ++numRuns, 2, TimeUnit.MINUTES);
pfsValidator.validate();
otherValidator.validate();
Assert.assertFalse(other.getPartitionOutput(KEY_5).getLocation().exists());
// 14b. second output fails, first output must rollback partition 5
mrManager.start(ImmutableMap.of("output.datasets", BOTH, PFS_OUT, "5", OTHER_OUT, "2", "input.text", "2x 5x"));
mrManager.waitForRuns(ProgramRunStatus.FAILED, ++numRuns, 2, TimeUnit.MINUTES);
pfsValidator.validate();
otherValidator.validate();
Assert.assertFalse(pfs.getPartitionOutput(KEY_5).getLocation().exists());
// 15. multi-output mapreduce writing partition fails because Hive partition already exists
// 15a. first output fails, other output must rollback partitions 0 and 5
mrManager.start(ImmutableMap.of("output.datasets", BOTH, PFS_OUT, "4", "input.text", "0x 5x"));
mrManager.waitForRuns(ProgramRunStatus.FAILED, ++numRuns, 2, TimeUnit.MINUTES);
pfsValidator.validate();
otherValidator.validate();
Assert.assertFalse(pfs.getPartitionOutput(KEY_4).getLocation().exists());
Assert.assertFalse(other.getPartitionOutput(KEY_0).getLocation().exists());
Assert.assertFalse(other.getPartitionOutput(KEY_5).getLocation().exists());
// 15b. second output fails, first output must rollback partitions 0 and 5
mrManager.start(ImmutableMap.of("output.datasets", BOTH, OTHER_OUT, "4", "input.text", "0x 5x"));
mrManager.waitForRuns(ProgramRunStatus.FAILED, ++numRuns, 2, TimeUnit.MINUTES);
pfsValidator.validate();
otherValidator.validate();
Assert.assertFalse(other.getPartitionOutput(KEY_4).getLocation().exists());
Assert.assertFalse(pfs.getPartitionOutput(KEY_0).getLocation().exists());
Assert.assertFalse(pfs.getPartitionOutput(KEY_5).getLocation().exists());
}
use of co.cask.cdap.api.dataset.lib.PartitionOutput in project cdap by caskdata.
the class SparkFileSetTestRun method addTimePartition.
private void addTimePartition(DataSetManager<TimePartitionedFileSet> tpfsManager, long inputTime) throws IOException, TransactionFailureException, InterruptedException {
TimePartitionedFileSet tpfs = tpfsManager.get();
PartitionOutput partitionOutput = tpfs.getPartitionOutput(inputTime);
Location location = partitionOutput.getLocation();
prepareFileInput(location);
partitionOutput.addPartition();
tpfsManager.flush();
}
use of co.cask.cdap.api.dataset.lib.PartitionOutput in project cdap by caskdata.
the class SparkFileSetTestRun method testSparkWithPartitionedFileSet.
private void testSparkWithPartitionedFileSet(ApplicationManager applicationManager, String sparkProgram) throws Exception {
DataSetManager<PartitionedFileSet> pfsManager = getDataset("pfs");
PartitionedFileSet pfs = pfsManager.get();
PartitionOutput partitionOutput = pfs.getPartitionOutput(PartitionKey.builder().addStringField("x", "nn").build());
Location location = partitionOutput.getLocation();
prepareFileInput(location);
partitionOutput.addPartition();
pfsManager.flush();
Map<String, String> inputArgs = new HashMap<>();
PartitionedFileSetArguments.setInputPartitionFilter(inputArgs, PartitionFilter.builder().addRangeCondition("x", "na", "nx").build());
Map<String, String> outputArgs = new HashMap<>();
PartitionKey outputKey = PartitionKey.builder().addStringField("x", "xx").build();
PartitionedFileSetArguments.setOutputPartitionKey(outputArgs, outputKey);
Map<String, String> args = new HashMap<>();
args.putAll(RuntimeArguments.addScope(Scope.DATASET, "pfs", inputArgs));
args.putAll(RuntimeArguments.addScope(Scope.DATASET, "pfs", outputArgs));
args.put("input", "pfs");
args.put("output", "pfs");
SparkManager sparkManager = applicationManager.getSparkManager(sparkProgram).start(args);
sparkManager.waitForRun(ProgramRunStatus.COMPLETED, 10, TimeUnit.MINUTES);
pfsManager.flush();
PartitionDetail partition = pfs.getPartition(outputKey);
Assert.assertNotNull(partition);
validateFileOutput(partition.getLocation());
// Cleanup after test completed
pfs.dropPartition(partitionOutput.getPartitionKey());
pfs.dropPartition(partition.getPartitionKey());
pfsManager.flush();
}
use of co.cask.cdap.api.dataset.lib.PartitionOutput in project cdap by caskdata.
the class PartitionConcatenateTest method testConcatenate.
/**
* 1. Write 100 small files (orc format) to a Partition of a PartitionedFileSet.
* 2. Execute a partition concatenate operation.
* 3. As compared to before the concatenate operation, validate that the number of files is reduced, while
* the contents of the files remains the same.
*/
@Test
public void testConcatenate() throws Exception {
String orcPFS = "orcPFS";
addDatasetInstance(PartitionedFileSet.class.getName(), orcPFS, PartitionedFileSetProperties.builder().setPartitioning(Partitioning.builder().addLongField("time").build()).setOutputFormat(OrcNewOutputFormat.class).setEnableExploreOnCreate(true).setSerDe("org.apache.hadoop.hive.ql.io.orc.OrcSerde").setExploreInputFormat("org.apache.hadoop.hive.ql.io.orc.OrcInputFormat").setExploreOutputFormat("org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat").setExploreSchema("record STRING").build());
// 1. create 100 small files in the input FileSet
DataSetManager<PartitionedFileSet> cleanRecordsManager = getDataset(orcPFS);
PartitionedFileSet cleanRecords = cleanRecordsManager.get();
PartitionKey outputPartition = PartitionKey.builder().addLongField("time", 5000).build();
PartitionOutput partitionOutput = cleanRecords.getPartitionOutput(outputPartition);
Location partitionLocation = partitionOutput.getLocation();
int numInputFiles = 100;
List<String> writtenData = writeSmallOrcFiles(partitionLocation, numInputFiles);
partitionOutput.addPartition();
Assert.assertEquals(writtenData, getExploreResults(orcPFS));
// this is a timestamp before concatenating, but after writing the files
long beforeConcatTime = System.currentTimeMillis();
List<Location> dataFiles = listFilteredChildren(partitionLocation);
// each input file will result in one output file, due to the FileInputFormat class and FileOutputFormat class
// being used
Assert.assertEquals(numInputFiles, dataFiles.size());
for (Location dataFile : dataFiles) {
// all the files should have a lastModified smaller than now
Assert.assertTrue(dataFile.lastModified() < beforeConcatTime);
}
// 2. run the concatenate operation
cleanRecords.concatenatePartition(outputPartition).get();
// 3. check that the data files' lastModified timestamp is updated, and there should be fewer of them
dataFiles = listFilteredChildren(partitionLocation);
Assert.assertTrue(dataFiles.size() < numInputFiles);
// should have a lastModified larger than now
Assert.assertTrue(Iterables.getOnlyElement(dataFiles).lastModified() > beforeConcatTime);
// even though the files were concatenated, the explore results should be unchanged
Assert.assertEquals(writtenData, getExploreResults(orcPFS));
}
use of co.cask.cdap.api.dataset.lib.PartitionOutput in project cdap by caskdata.
the class PartitionedFileSetTest method testPartitionCreationTime.
@Test
public void testPartitionCreationTime() throws Exception {
final PartitionedFileSet dataset = dsFrameworkUtil.getInstance(pfsInstance);
dsFrameworkUtil.newTransactionExecutor((TransactionAware) dataset).execute(new TransactionExecutor.Subroutine() {
@Override
public void apply() throws Exception {
PartitionOutput partitionOutput = dataset.getPartitionOutput(PARTITION_KEY);
long beforeTime = System.currentTimeMillis();
partitionOutput.addPartition();
long afterTime = System.currentTimeMillis();
PartitionDetail partitionDetail = dataset.getPartition(PARTITION_KEY);
Assert.assertNotNull(partitionDetail);
long creationTime = partitionDetail.getMetadata().getCreationTime();
long lastModificationTime = partitionDetail.getMetadata().lastModificationTime();
// lastModificationTime time should be equal to creationTime for a partition that has not been appended to
Assert.assertEquals(creationTime, lastModificationTime);
Assert.assertTrue(creationTime >= beforeTime && creationTime <= afterTime);
}
});
}
Aggregations