/*
* Test that {@link HFileOutputFormat2} creates an HFile with TIMERANGE
* metadata used by time-restricted scans.
*/
@Test
public void test_TIMERANGE() throws Exception {
Configuration conf = new Configuration(this.util.getConfiguration());
RecordWriter<ImmutableBytesWritable, Cell> writer = null;
TaskAttemptContext context = null;
Path dir = util.getDataTestDir("test_TIMERANGE_present");
LOG.info("Timerange dir writing to dir: " + dir);
try {
// build a record writer using HFileOutputFormat2
Job job = new Job(conf);
FileOutputFormat.setOutputPath(job, dir);
context = createTestTaskAttemptContext(job);
HFileOutputFormat2 hof = new HFileOutputFormat2();
writer = hof.getRecordWriter(context);
// Pass two key values with explicit times stamps
final byte[] b = Bytes.toBytes("b");
// value 1 with timestamp 2000
KeyValue kv = new KeyValue(b, b, b, 2000, b);
KeyValue original = kv.clone();
writer.write(new ImmutableBytesWritable(), kv);
assertEquals(original, kv);
// value 2 with timestamp 1000
kv = new KeyValue(b, b, b, 1000, b);
original = kv.clone();
writer.write(new ImmutableBytesWritable(), kv);
assertEquals(original, kv);
// verify that the file has the proper FileInfo.
writer.close(context);
// the generated file lives 1 directory down from the attempt directory
// and is the only file, e.g.
// _attempt__0000_r_000000_0/b/1979617994050536795
FileSystem fs = FileSystem.get(conf);
Path attemptDirectory = hof.getDefaultWorkFile(context, "").getParent();
FileStatus[] sub1 = fs.listStatus(attemptDirectory);
FileStatus[] file = fs.listStatus(sub1[0].getPath());
// open as HFile Reader and pull out TIMERANGE FileInfo.
HFile.Reader rd = HFile.createReader(fs, file[0].getPath(), new CacheConfig(conf), conf);
Map<byte[], byte[]> finfo = rd.loadFileInfo();
byte[] range = finfo.get("TIMERANGE".getBytes());
assertNotNull(range);
// unmarshall and check values.
TimeRangeTracker timeRangeTracker = new TimeRangeTracker();
Writables.copyWritable(range, timeRangeTracker);
LOG.info(
timeRangeTracker.getMinimumTimestamp() + "...." + timeRangeTracker.getMaximumTimestamp());
assertEquals(1000, timeRangeTracker.getMinimumTimestamp());
assertEquals(2000, timeRangeTracker.getMaximumTimestamp());
rd.close();
} finally {
if (writer != null && context != null) writer.close(context);
dir.getFileSystem(conf).delete(dir, true);
}
}
@Test
public void test() throws Exception {
createTable(TABLE_NAME, getBasicSchema(), getBasicCreateTableOptions());
KuduTableOutputFormat output = new KuduTableOutputFormat();
Configuration conf = new Configuration();
conf.set(KuduTableOutputFormat.MASTER_ADDRESSES_KEY, getMasterAddresses());
conf.set(KuduTableOutputFormat.OUTPUT_TABLE_KEY, TABLE_NAME);
output.setConf(conf);
String multitonKey = conf.get(KuduTableOutputFormat.MULTITON_KEY);
KuduTable table = KuduTableOutputFormat.getKuduTable(multitonKey);
assertNotNull(table);
Insert insert = table.newInsert();
PartialRow row = insert.getRow();
row.addInt(0, 1);
row.addInt(1, 2);
row.addInt(2, 3);
row.addString(3, "a string");
row.addBoolean(4, true);
RecordWriter<NullWritable, Operation> rw = output.getRecordWriter(null);
rw.write(NullWritable.get(), insert);
rw.close(null);
AsyncKuduScanner.AsyncKuduScannerBuilder builder = client.newScannerBuilder(table);
assertEquals(1, countRowsInScan(builder.build()));
}
@Override
public void write(K key, V value) throws IOException, InterruptedException {
// 得到输出文件名
String baseName = generateFileNameForKeyValue(key, value, job.getConfiguration()); // 生成输出文件名
RecordWriter<K, V> rw = this.recordWriters.get(baseName); // ？？
if (rw == null) {
rw = getBaseRecordWriter(job, baseName); //
this.recordWriters.put(baseName, rw);
}
rw.write(key, value);
}
/**
* Write random values to the writer assuming a table created using {@link #FAMILIES} as column
* family descriptors
*/
private void writeRandomKeyValues(
RecordWriter<ImmutableBytesWritable, Cell> writer,
TaskAttemptContext context,
Set<byte[]> families,
int numRows)
throws IOException, InterruptedException {
byte keyBytes[] = new byte[Bytes.SIZEOF_INT];
int valLength = 10;
byte valBytes[] = new byte[valLength];
int taskId = context.getTaskAttemptID().getTaskID().getId();
assert taskId < Byte.MAX_VALUE : "Unit tests dont support > 127 tasks!";
final byte[] qualifier = Bytes.toBytes("data");
Random random = new Random();
for (int i = 0; i < numRows; i++) {
Bytes.putInt(keyBytes, 0, i);
random.nextBytes(valBytes);
ImmutableBytesWritable key = new ImmutableBytesWritable(keyBytes);
for (byte[] family : families) {
Cell kv = new KeyValue(keyBytes, family, qualifier, valBytes);
writer.write(key, kv);
}
}
}
private void runNewMapper(
final JobConf job, MRTaskReporter reporter, final MRInputLegacy in, KeyValueWriter out)
throws IOException, InterruptedException {
// Initialize input in-line since it sets parameters which may be used by the processor.
// Done only for MRInput.
// TODO use new method in MRInput to get required info
// in.initialize(job, master);
// make a task context so we can get the classes
org.apache.hadoop.mapreduce.TaskAttemptContext taskContext = getTaskAttemptContext();
// make a mapper
org.apache.hadoop.mapreduce.Mapper mapper;
try {
mapper =
(org.apache.hadoop.mapreduce.Mapper)
ReflectionUtils.newInstance(taskContext.getMapperClass(), job);
} catch (ClassNotFoundException cnfe) {
throw new IOException(cnfe);
}
org.apache.hadoop.mapreduce.RecordReader input = new NewRecordReader(in);
org.apache.hadoop.mapreduce.RecordWriter output = new NewOutputCollector(out);
org.apache.hadoop.mapreduce.InputSplit split = in.getNewInputSplit();
org.apache.hadoop.mapreduce.MapContext mapContext =
new MapContextImpl(
job, taskAttemptId, input, output, getCommitter(), processorContext, split);
org.apache.hadoop.mapreduce.Mapper.Context mapperContext =
new WrappedMapper().getMapContext(mapContext);
input.initialize(split, mapperContext);
mapper.run(mapperContext);
this.statusUpdate();
input.close();
output.close(mapperContext);
}
@Override
public void cleanUp() throws IOException {
if (writer != null) {
try {
writer.close(context);
} catch (InterruptedException e) {
throw new IOException(e);
}
writer = null;
}
HadoopShims.commitOrCleanup(outputCommitter, context);
}
/**
* Creates an lzo file with random data.
*
* @param outputDir Output directory.
* @param fs File system we're using.
* @param attemptContext Task attempt context, contains task id etc.
* @throws IOException
* @throws InterruptedException
*/
private byte[] createTestInput(
Path outputDir, FileSystem fs, TaskAttemptContext attemptContext, int charsToOutput)
throws IOException, InterruptedException {
TextOutputFormat<Text, Text> output = new TextOutputFormat<Text, Text>();
RecordWriter<Text, Text> rw = null;
md5_.reset();
try {
rw = output.getRecordWriter(attemptContext);
char[] chars = "abcdefghijklmnopqrstuvwxyz\u00E5\u00E4\u00F6".toCharArray();
Random r = new Random(System.currentTimeMillis());
Text key = new Text();
Text value = new Text();
int charsMax = chars.length - 1;
for (int i = 0; i < charsToOutput; ) {
i += fillText(chars, r, charsMax, key);
i += fillText(chars, r, charsMax, value);
rw.write(key, value);
md5_.update(key.getBytes(), 0, key.getLength());
// text output format writes tab between the key and value
md5_.update("\t".getBytes("UTF-8"));
md5_.update(value.getBytes(), 0, value.getLength());
}
} finally {
if (rw != null) {
rw.close(attemptContext);
OutputCommitter committer = output.getOutputCommitter(attemptContext);
committer.commitTask(attemptContext);
committer.cleanupJob(attemptContext);
}
}
byte[] result = md5_.digest();
md5_.reset();
return result;
}
// this is a tool because when you run a mapreduce, you will need to use the
// ToolRunner
// if you want libjars to be passed properly to the map and reduce tasks
// even though this class isn't a mapreduce
@Override
public int run(String[] args) throws Exception {
if (args.length != 5) {
System.out.println(
"Usage: bin/tool.sh "
+ this.getClass().getName()
+ " <instance name> <zoo keepers> <username> <password> <tablename>");
return 1;
}
Text tableName = new Text(args[4]);
Job job = new Job(getConf());
Configuration conf = job.getConfiguration();
AccumuloOutputFormat.setZooKeeperInstance(conf, args[0], args[1]);
AccumuloOutputFormat.setOutputInfo(conf, args[2], args[3].getBytes(), true, null);
job.setOutputFormatClass(AccumuloOutputFormat.class);
// when running a mapreduce, you won't need to instantiate the output
// format and record writer
// mapreduce will do that for you, and you will just use
// output.collect(tableName, mutation)
TaskAttemptContext context = new TaskAttemptContext(conf, new TaskAttemptID());
RecordWriter<Text, Mutation> rw = new AccumuloOutputFormat().getRecordWriter(context);
Text colf = new Text("colfam");
System.out.println("writing ...");
for (int i = 0; i < 10000; i++) {
Mutation m = new Mutation(new Text(String.format("row_%d", i)));
for (int j = 0; j < 5; j++) {
m.put(
colf,
new Text(String.format("colqual_%d", j)),
new Value((String.format("value_%d_%d", i, j)).getBytes()));
}
rw.write(tableName, m); // repeat until done
if (i % 100 == 0) System.out.println(i);
}
rw.close(context); // close when done
return 0;
}
@Override
public void tearDown() throws IOException {
if (writer != null) {
try {
writer.close(context);
} catch (InterruptedException e) {
throw new IOException(e);
}
writer = null;
}
if (outputCommitter.needsTaskCommit(context)) outputCommitter.commitTask(context);
HadoopShims.commitOrCleanup(outputCommitter, context);
}
/**
* Test that {@link HFileOutputFormat2} RecordWriter amends timestamps if passed a keyvalue whose
* timestamp is {@link HConstants#LATEST_TIMESTAMP}.
*
* @see <a href="https://issues.apache.org/jira/browse/HBASE-2615">HBASE-2615</a>
*/
@Ignore("Goes zombie too frequently; needs work. See HBASE-14563")
@Test
public void test_LATEST_TIMESTAMP_isReplaced() throws Exception {
Configuration conf = new Configuration(this.util.getConfiguration());
RecordWriter<ImmutableBytesWritable, Cell> writer = null;
TaskAttemptContext context = null;
Path dir = util.getDataTestDir("test_LATEST_TIMESTAMP_isReplaced");
try {
Job job = new Job(conf);
FileOutputFormat.setOutputPath(job, dir);
context = createTestTaskAttemptContext(job);
HFileOutputFormat2 hof = new HFileOutputFormat2();
writer = hof.getRecordWriter(context);
final byte[] b = Bytes.toBytes("b");
// Test 1. Pass a KV that has a ts of LATEST_TIMESTAMP. It should be
// changed by call to write. Check all in kv is same but ts.
KeyValue kv = new KeyValue(b, b, b);
KeyValue original = kv.clone();
writer.write(new ImmutableBytesWritable(), kv);
assertFalse(original.equals(kv));
assertTrue(Bytes.equals(CellUtil.cloneRow(original), CellUtil.cloneRow(kv)));
assertTrue(Bytes.equals(CellUtil.cloneFamily(original), CellUtil.cloneFamily(kv)));
assertTrue(Bytes.equals(CellUtil.cloneQualifier(original), CellUtil.cloneQualifier(kv)));
assertNotSame(original.getTimestamp(), kv.getTimestamp());
assertNotSame(HConstants.LATEST_TIMESTAMP, kv.getTimestamp());
// Test 2. Now test passing a kv that has explicit ts. It should not be
// changed by call to record write.
kv = new KeyValue(b, b, b, kv.getTimestamp() - 1, b);
original = kv.clone();
writer.write(new ImmutableBytesWritable(), kv);
assertTrue(original.equals(kv));
} finally {
if (writer != null && context != null) writer.close(context);
dir.getFileSystem(conf).delete(dir, true);
}
}
@Override
public void putNext(Tuple tuple) throws IOException {
log.debug("putNext({})", tuple);
try {
Node g = NodeEncoder.asNode((String) tuple.get(0));
Node s = NodeEncoder.asNode((String) tuple.get(1));
Node p = NodeEncoder.asNode((String) tuple.get(2));
Node o = NodeEncoder.asNode((String) tuple.get(3));
Quad quad = new Quad(g, s, p, o);
QuadWritable quadWritable = new QuadWritable(quad);
writer.write(NullWritable.get(), quadWritable);
} catch (InterruptedException e) {
throw new IOException(e);
}
}
/**
* The work is done here for preparing the output Mutation. The TileIdWritable and
* RasterWritable are transformed here.
*/
@Override
public void write(TileIdWritable key, RasterWritable value)
throws IOException, InterruptedException {
int zoom = zoomLevel;
if (key instanceof TileIdZoomWritable) {
zoom = ((TileIdZoomWritable) key).getZoom();
}
// ColumnVisibility cv = new ColumnVisibility();
// transform the keys
ByteBuffer buf = ByteBuffer.allocate(8);
buf.putLong(key.get());
Mutation m = new Mutation(new Text(buf.array()));
// We only want the actual bytes for the value, not the full array of bytes
Value v = new Value(value.copyBytes());
m.put(Integer.toString(zoom), Long.toString(key.get()), cv, v);
_inRecordWriter.write(outTable, m);
} // end write
@Override
public void putNext(Tuple f) throws IOException {
Object field;
try {
field = f.get(0);
} catch (ExecException ee) {
throw ee;
}
String key = (String) field;
try {
field = f.get(1);
} catch (ExecException ee) {
throw ee;
}
Map<String, Float> val = (Map<String, Float>) field;
try {
writer.write(key, val);
} catch (InterruptedException e) {
throw new IOException(e);
}
}
/** Generate an output key/value pair. */
public void write(KEYOUT key, VALUEOUT value) throws IOException, InterruptedException {
output.write(key, value);
}
/** This is needed to close out the internal RecordWriter */
@Override
public void close(TaskAttemptContext arg0) throws IOException, InterruptedException {
// TODO Auto-generated method stub
_inRecordWriter.close(arg0);
} // end close
public void testBinary() throws IOException, InterruptedException {
Configuration conf = new Configuration();
Job job = new Job(conf);
Path outdir = new Path(System.getProperty("test.build.data", "/tmp"), "outseq");
Random r = new Random();
long seed = r.nextLong();
r.setSeed(seed);
FileOutputFormat.setOutputPath(job, outdir);
SequenceFileAsBinaryOutputFormat.setSequenceFileOutputKeyClass(job, IntWritable.class);
SequenceFileAsBinaryOutputFormat.setSequenceFileOutputValueClass(job, DoubleWritable.class);
SequenceFileAsBinaryOutputFormat.setCompressOutput(job, true);
SequenceFileAsBinaryOutputFormat.setOutputCompressionType(job, CompressionType.BLOCK);
BytesWritable bkey = new BytesWritable();
BytesWritable bval = new BytesWritable();
TaskAttemptContext context =
MapReduceTestUtil.createDummyMapTaskAttemptContext(job.getConfiguration());
OutputFormat<BytesWritable, BytesWritable> outputFormat =
new SequenceFileAsBinaryOutputFormat();
OutputCommitter committer = outputFormat.getOutputCommitter(context);
committer.setupJob(job);
RecordWriter<BytesWritable, BytesWritable> writer = outputFormat.getRecordWriter(context);
IntWritable iwritable = new IntWritable();
DoubleWritable dwritable = new DoubleWritable();
DataOutputBuffer outbuf = new DataOutputBuffer();
LOG.info("Creating data by SequenceFileAsBinaryOutputFormat");
try {
for (int i = 0; i < RECORDS; ++i) {
iwritable = new IntWritable(r.nextInt());
iwritable.write(outbuf);
bkey.set(outbuf.getData(), 0, outbuf.getLength());
outbuf.reset();
dwritable = new DoubleWritable(r.nextDouble());
dwritable.write(outbuf);
bval.set(outbuf.getData(), 0, outbuf.getLength());
outbuf.reset();
writer.write(bkey, bval);
}
} finally {
writer.close(context);
}
committer.commitTask(context);
committer.commitJob(job);
InputFormat<IntWritable, DoubleWritable> iformat =
new SequenceFileInputFormat<IntWritable, DoubleWritable>();
int count = 0;
r.setSeed(seed);
SequenceFileInputFormat.setInputPaths(job, outdir);
LOG.info("Reading data by SequenceFileInputFormat");
for (InputSplit split : iformat.getSplits(job)) {
RecordReader<IntWritable, DoubleWritable> reader = iformat.createRecordReader(split, context);
MapContext<IntWritable, DoubleWritable, BytesWritable, BytesWritable> mcontext =
new MapContextImpl<IntWritable, DoubleWritable, BytesWritable, BytesWritable>(
job.getConfiguration(),
context.getTaskAttemptID(),
reader,
null,
null,
MapReduceTestUtil.createDummyReporter(),
split);
reader.initialize(split, mcontext);
try {
int sourceInt;
double sourceDouble;
while (reader.nextKeyValue()) {
sourceInt = r.nextInt();
sourceDouble = r.nextDouble();
iwritable = reader.getCurrentKey();
dwritable = reader.getCurrentValue();
assertEquals(
"Keys don't match: " + "*" + iwritable.get() + ":" + sourceInt + "*",
sourceInt,
iwritable.get());
assertTrue(
"Vals don't match: " + "*" + dwritable.get() + ":" + sourceDouble + "*",
Double.compare(dwritable.get(), sourceDouble) == 0);
++count;
}
} finally {
reader.close();
}
}
assertEquals("Some records not found", RECORDS, count);
}
@Test
public void test() throws Exception {
context.checking(
new Expectations() {
{
allowing(taskContext).getConfiguration();
will(returnValue(conf));
allowing(taskContext).getTaskAttemptID();
will(returnValue(taskAttemptID));
}
});
OutputFormat outputFormat = new IndexRecordWriter.OutputFormat();
conf.setStrings("RdfFieldNames", "index0", "index1");
conf.setEnum("IndexType", RDFDocumentFactory.IndexType.VERTICAL);
RecordWriter<IntWritable, IndexRecordWriterValue> recordWriter =
outputFormat.getRecordWriter(taskContext);
IntWritable key = new IntWritable();
IndexRecordWriterTermValue termValue = new IndexRecordWriterTermValue();
IndexRecordWriterDocValue docValue = new IndexRecordWriterDocValue();
IndexRecordWriterSizeValue sizeValue = new IndexRecordWriterSizeValue();
// ALIGNEMENT_INDEX
key.set(DocumentMapper.ALIGNMENT_INDEX);
termValue.setTerm("term1");
termValue.setTermFrequency(1);
// The alignment index doesn't have positions/counts.
termValue.setOccurrenceCount(0);
termValue.setSumOfMaxTermPositions(0);
recordWriter.write(key, termValue);
docValue.setDocument(0); // term1 occurs in index 0
recordWriter.write(key, docValue);
// Index 0
key.set(0);
termValue.setTermFrequency(3);
termValue.setOccurrenceCount(6);
termValue.setSumOfMaxTermPositions(15 + 12 + 18);
recordWriter.write(key, termValue);
docValue.setDocument(3);
docValue.clearOccerrences();
docValue.addOccurrence(11);
docValue.addOccurrence(15);
recordWriter.write(key, docValue);
docValue.setDocument(4);
docValue.clearOccerrences();
docValue.addOccurrence(12);
recordWriter.write(key, docValue);
docValue.setDocument(7);
docValue.clearOccerrences();
docValue.addOccurrence(14);
docValue.addOccurrence(17);
docValue.addOccurrence(18);
recordWriter.write(key, docValue);
// ALIGNEMENT_INDEX
key.set(DocumentMapper.ALIGNMENT_INDEX);
termValue.setTerm("term2");
termValue.setTermFrequency(2);
// The alignment index doesn't have positions/counts.
termValue.setOccurrenceCount(0);
termValue.setSumOfMaxTermPositions(0);
recordWriter.write(key, termValue);
docValue.clearOccerrences();
docValue.setDocument(0); // term2 occurs in index 0 & 1
recordWriter.write(key, docValue);
docValue.setDocument(1); // term2 occurs in index 0 & 1
recordWriter.write(key, docValue);
// Index 0
key.set(0);
termValue.setTermFrequency(2);
termValue.setOccurrenceCount(4);
termValue.setSumOfMaxTermPositions(19 + 16);
recordWriter.write(key, termValue);
docValue.setDocument(1);
docValue.clearOccerrences();
docValue.addOccurrence(10);
docValue.addOccurrence(19);
recordWriter.write(key, docValue);
docValue.setDocument(7);
docValue.clearOccerrences();
docValue.addOccurrence(13);
docValue.addOccurrence(16);
recordWriter.write(key, docValue);
// Index 1
key.set(1);
termValue.setTermFrequency(1);
termValue.setOccurrenceCount(1);
termValue.setSumOfMaxTermPositions(14);
recordWriter.write(key, termValue);
docValue.setDocument(1);
docValue.clearOccerrences();
docValue.addOccurrence(14);
recordWriter.write(key, docValue);
// ALIGNMENT_INDEX
key.set(DocumentMapper.ALIGNMENT_INDEX);
termValue.setTerm("term3");
termValue.setTermFrequency(1);
// The alignment index doesn't have positions/counts.
termValue.setOccurrenceCount(0);
termValue.setSumOfMaxTermPositions(0);
recordWriter.write(key, termValue);
docValue.setDocument(1); // term3 occurs in index 1
recordWriter.write(key, docValue);
docValue.clearOccerrences();
// Index 1
key.set(1);
termValue.setTermFrequency(1);
termValue.setOccurrenceCount(2);
termValue.setSumOfMaxTermPositions(11);
recordWriter.write(key, termValue);
docValue.setDocument(3);
docValue.clearOccerrences();
docValue.addOccurrence(10);
docValue.addOccurrence(11);
recordWriter.write(key, docValue);
// Doc Sizes.
key.set(0);
sizeValue.setDocument(0);
sizeValue.setSize(3);
recordWriter.write(key, sizeValue);
sizeValue.setDocument(3);
sizeValue.setSize(1);
recordWriter.write(key, sizeValue);
sizeValue.setDocument(4);
sizeValue.setSize(10);
recordWriter.write(key, sizeValue);
sizeValue.setDocument(6);
sizeValue.setSize(2);
recordWriter.write(key, sizeValue);
key.set(1);
sizeValue.setDocument(3);
sizeValue.setSize(3);
recordWriter.write(key, sizeValue);
sizeValue.setDocument(6);
sizeValue.setSize(5);
recordWriter.write(key, sizeValue);
recordWriter.close(taskContext);
// Check the written indexes..
Path workPath = outputFormat.getDefaultWorkFile(taskContext, "");
System.out.println("Default work file is " + workPath.toString());
String dir = workPath.toUri().getPath();
BitStreamIndex index0 =
(BitStreamIndex) DiskBasedIndex.getInstance(dir + "/index0", true, true);
assertEquals(8, index0.numberOfDocuments);
assertEquals(2, index0.numberOfTerms);
assertTrue(index0.hasPositions);
// term1
checkOccurrences(index0.documents(0), 3, "(3:11,15) (4:12) (7:14,17,18)");
// term2
checkOccurrences(index0.documents(1), 2, "(1:10,19) (7:13,16)");
assertEquals("[3, 0, 0, 1, 10, 0, 2, 0]", index0.sizes.toString());
BitStreamIndex index1 =
(BitStreamIndex) DiskBasedIndex.getInstance(dir + "/index1", true, true);
assertEquals(8, index1.numberOfDocuments);
assertEquals(2, index1.numberOfTerms);
assertTrue(index0.hasPositions);
checkOccurrences(index1.documents(0), 1, "(1:14)");
// term3
checkOccurrences(index1.documents(1), 1, "(3:10,11)");
BitStreamIndex indexAlignment =
(BitStreamIndex) DiskBasedIndex.getInstance(dir + "/alignment", true);
assertEquals(8, indexAlignment.numberOfDocuments);
assertEquals(3, indexAlignment.numberOfTerms);
assertFalse(indexAlignment.hasPositions);
// term1
assertEquals(1, indexAlignment.documents(0).frequency());
// term2
assertEquals(2, indexAlignment.documents(1).frequency());
// term3
assertEquals(1, indexAlignment.documents(2).frequency());
assertEquals("[0, 0, 0, 3, 0, 0, 5, 0]", index1.sizes.toString());
}
/**
* Test that {@link HFileOutputFormat2} RecordWriter uses compression and bloom filter settings
* from the column family descriptor
*/
@Ignore("Goes zombie too frequently; needs work. See HBASE-14563")
@Test
public void testColumnFamilySettings() throws Exception {
Configuration conf = new Configuration(this.util.getConfiguration());
RecordWriter<ImmutableBytesWritable, Cell> writer = null;
TaskAttemptContext context = null;
Path dir = util.getDataTestDir("testColumnFamilySettings");
// Setup table descriptor
Table table = Mockito.mock(Table.class);
RegionLocator regionLocator = Mockito.mock(RegionLocator.class);
HTableDescriptor htd = new HTableDescriptor(TABLE_NAME);
Mockito.doReturn(htd).when(table).getTableDescriptor();
for (HColumnDescriptor hcd : HBaseTestingUtility.generateColumnDescriptors()) {
htd.addFamily(hcd);
}
// set up the table to return some mock keys
setupMockStartKeys(regionLocator);
try {
// partial map red setup to get an operational writer for testing
// We turn off the sequence file compression, because DefaultCodec
// pollutes the GZip codec pool with an incompatible compressor.
conf.set("io.seqfile.compression.type", "NONE");
conf.set("hbase.fs.tmp.dir", dir.toString());
// turn locality off to eliminate getRegionLocation fail-and-retry time when writing kvs
conf.setBoolean(HFileOutputFormat2.LOCALITY_SENSITIVE_CONF_KEY, false);
Job job = new Job(conf, "testLocalMRIncrementalLoad");
job.setWorkingDirectory(util.getDataTestDirOnTestFS("testColumnFamilySettings"));
setupRandomGeneratorMapper(job);
HFileOutputFormat2.configureIncrementalLoad(job, table.getTableDescriptor(), regionLocator);
FileOutputFormat.setOutputPath(job, dir);
context = createTestTaskAttemptContext(job);
HFileOutputFormat2 hof = new HFileOutputFormat2();
writer = hof.getRecordWriter(context);
// write out random rows
writeRandomKeyValues(writer, context, htd.getFamiliesKeys(), ROWSPERSPLIT);
writer.close(context);
// Make sure that a directory was created for every CF
FileSystem fs = dir.getFileSystem(conf);
// commit so that the filesystem has one directory per column family
hof.getOutputCommitter(context).commitTask(context);
hof.getOutputCommitter(context).commitJob(context);
FileStatus[] families = FSUtils.listStatus(fs, dir, new FSUtils.FamilyDirFilter(fs));
assertEquals(htd.getFamilies().size(), families.length);
for (FileStatus f : families) {
String familyStr = f.getPath().getName();
HColumnDescriptor hcd = htd.getFamily(Bytes.toBytes(familyStr));
// verify that the compression on this file matches the configured
// compression
Path dataFilePath = fs.listStatus(f.getPath())[0].getPath();
Reader reader = HFile.createReader(fs, dataFilePath, new CacheConfig(conf), conf);
Map<byte[], byte[]> fileInfo = reader.loadFileInfo();
byte[] bloomFilter = fileInfo.get(StoreFile.BLOOM_FILTER_TYPE_KEY);
if (bloomFilter == null) bloomFilter = Bytes.toBytes("NONE");
assertEquals(
"Incorrect bloom filter used for column family "
+ familyStr
+ "(reader: "
+ reader
+ ")",
hcd.getBloomFilterType(),
BloomType.valueOf(Bytes.toString(bloomFilter)));
assertEquals(
"Incorrect compression used for column family "
+ familyStr
+ "(reader: "
+ reader
+ ")",
hcd.getCompressionType(),
reader.getFileContext().getCompression());
}
} finally {
dir.getFileSystem(conf).delete(dir, true);
}
}
@Override
public void close(TaskAttemptContext context) throws IOException, InterruptedException {
writer.write(NullWritable.get(), classifier);
writer.close(context);
}
/**
* close
*
* @param context the context of the task
* @throws IOException
* @throws InterruptedException
*/
public void close(TaskAttemptContext context) throws IOException, InterruptedException {
recordWriter.close(context);
}
public void close() throws IOException, InterruptedException {
recordWriter.close(context);
}
public void write(K key, V value) throws IOException, InterruptedException {
recordWriter.write(key, value);
}
