private List<Map.Entry> previewTextBatch(FileStatus fileStatus, int batchSize)
throws IOException, InterruptedException {
TextInputFormat textInputFormat = new TextInputFormat();
long fileLength = fileStatus.getLen();
// Hadoop does unsafe casting from long to int, so split length should not be greater than int
// max value
long splitLength = (fileLength < Integer.MAX_VALUE) ? fileLength : Integer.MAX_VALUE;
InputSplit fileSplit = new FileSplit(fileStatus.getPath(), 0, splitLength, null);
TaskAttemptContext taskAttemptContext =
new TaskAttemptContextImpl(
hadoopConf, TaskAttemptID.forName("attempt_1439420318532_0011_m_000000_0"));
RecordReader<LongWritable, Text> recordReader =
textInputFormat.createRecordReader(fileSplit, taskAttemptContext);
recordReader.initialize(fileSplit, taskAttemptContext);
boolean hasNext = recordReader.nextKeyValue();
List<Map.Entry> batch = new ArrayList<>();
while (hasNext && batch.size() < batchSize) {
batch.add(
new Pair(
fileStatus.getPath().toUri().getPath() + "::" + recordReader.getCurrentKey(),
String.valueOf(recordReader.getCurrentValue())));
hasNext = recordReader.nextKeyValue(); // not like iterator.hasNext, actually advances
}
return batch;
}
@Override
protected void configureJob(Job job) throws IOException {
Configuration conf = job.getConfiguration();
job.setJarByClass(PartialBuilder.class);
FileInputFormat.setInputPaths(job, getDataPath());
FileOutputFormat.setOutputPath(job, getOutputPath(conf));
job.setOutputKeyClass(TreeID.class);
job.setOutputValueClass(MapredOutput.class);
job.setMapperClass(Step1Mapper.class);
job.setNumReduceTasks(0); // no reducers
job.setInputFormatClass(TextInputFormat.class);
job.setOutputFormatClass(SequenceFileOutputFormat.class);
// For this implementation to work, mapred.map.tasks needs to be set to the actual
// number of mappers Hadoop will use:
TextInputFormat inputFormat = new TextInputFormat();
List<?> splits = inputFormat.getSplits(job);
if (splits == null || splits.isEmpty()) {
log.warn("Unable to compute number of splits?");
} else {
int numSplits = splits.size();
log.info("Setting mapred.map.tasks = {}", numSplits);
conf.setInt("mapred.map.tasks", numSplits);
}
}
public Path write(Message... messages) throws Exception {
synchronized (WriteUsingMR.class) {
outputPath = TestUtils.someTemporaryFilePath();
Path inputPath = TestUtils.someTemporaryFilePath();
FileSystem fileSystem = inputPath.getFileSystem(conf);
fileSystem.create(inputPath);
inputMessages = Collections.unmodifiableList(Arrays.asList(messages));
final Job job = new Job(conf, "write");
// input not really used
TextInputFormat.addInputPath(job, inputPath);
job.setInputFormatClass(TextInputFormat.class);
job.setMapperClass(WritingMapper.class);
job.setNumReduceTasks(0);
job.setOutputFormatClass(ProtoParquetOutputFormat.class);
ProtoParquetOutputFormat.setOutputPath(job, outputPath);
ProtoParquetOutputFormat.setProtobufClass(job, TestUtils.inferRecordsClass(messages));
waitForJob(job);
inputMessages = null;
return outputPath;
}
}
@Override
public int run(String[] args) throws Exception {
String instance = args[0];
String zookeepers = args[1];
String user = args[2];
String tokenFile = args[3];
String input = args[4];
String tableName = args[5];
Job job = Job.getInstance(getConf());
job.setJobName(TokenFileWordCount.class.getName());
job.setJarByClass(this.getClass());
job.setInputFormatClass(TextInputFormat.class);
TextInputFormat.setInputPaths(job, input);
job.setMapperClass(MapClass.class);
job.setNumReduceTasks(0);
job.setOutputFormatClass(AccumuloOutputFormat.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(Mutation.class);
// AccumuloInputFormat not used here, but it uses the same functions.
AccumuloOutputFormat.setZooKeeperInstance(
job, ClientConfiguration.loadDefault().withInstance(instance).withZkHosts(zookeepers));
AccumuloOutputFormat.setConnectorInfo(job, user, tokenFile);
AccumuloOutputFormat.setCreateTables(job, true);
AccumuloOutputFormat.setDefaultTableName(job, tableName);
job.waitForCompletion(true);
return 0;
}
/**
* Generate random data, compress it, index and md5 hash the data. Then read it all back and md5
* that too, to verify that it all went ok.
*
* @param testWithIndex Should we index or not?
* @param charsToOutput How many characters of random data should we output.
* @throws IOException
* @throws NoSuchAlgorithmException
* @throws InterruptedException
*/
private void runTest(boolean testWithIndex, int charsToOutput)
throws IOException, NoSuchAlgorithmException, InterruptedException {
Configuration conf = new Configuration();
conf.setLong("fs.local.block.size", charsToOutput / 2);
// reducing block size to force a split of the tiny file
conf.set("io.compression.codecs", LzopCodec.class.getName());
Assume.assumeTrue(CoreTestUtil.okToRunLzoTests(conf));
FileSystem.getLocal(conf).close(); // remove cached filesystem (if any)
FileSystem localFs = FileSystem.getLocal(conf);
localFs.delete(outputDir_, true);
localFs.mkdirs(outputDir_);
Job job = new Job(conf);
TextOutputFormat.setCompressOutput(job, true);
TextOutputFormat.setOutputCompressorClass(job, LzopCodec.class);
TextOutputFormat.setOutputPath(job, outputDir_);
TaskAttemptContext attemptContext =
new TaskAttemptContext(job.getConfiguration(), new TaskAttemptID("123", 0, false, 1, 2));
// create some input data
byte[] expectedMd5 = createTestInput(outputDir_, localFs, attemptContext, charsToOutput);
if (testWithIndex) {
Path lzoFile = new Path(outputDir_, lzoFileName_);
LzoIndex.createIndex(localFs, lzoFile);
}
LzoTextInputFormat inputFormat = new LzoTextInputFormat();
TextInputFormat.setInputPaths(job, outputDir_);
List<InputSplit> is = inputFormat.getSplits(job);
// verify we have the right number of lzo chunks
if (testWithIndex && OUTPUT_BIG == charsToOutput) {
assertEquals(3, is.size());
} else {
assertEquals(1, is.size());
}
// let's read it all and calculate the md5 hash
for (InputSplit inputSplit : is) {
RecordReader<LongWritable, Text> rr =
inputFormat.createRecordReader(inputSplit, attemptContext);
rr.initialize(inputSplit, attemptContext);
while (rr.nextKeyValue()) {
Text value = rr.getCurrentValue();
md5_.update(value.getBytes(), 0, value.getLength());
}
rr.close();
}
localFs.close();
assertTrue(Arrays.equals(expectedMd5, md5_.digest()));
}
@Override
public int run(String[] args) throws Exception {
if (args.length != 2) {
System.out.println("usage : need <input path> <output path>");
return 1;
}
Path inputPath = new Path(args[0]);
Path outputPath = new Path(args[1]);
Configuration conf = getConf();
Job job = new Job(conf, getClass().getName() + "--answer");
job.setJarByClass(CombinerAnswer.class);
job.setMapperClass(MyMapper.class);
job.setReducerClass(MyReducer.class);
// job.setCombinerClass(MyReducer.class);
job.setMapOutputValueClass(IntWritable.class);
job.setMapOutputKeyClass(Text.class);
job.setInputFormatClass(TextInputFormat.class);
job.setOutputFormatClass(TextOutputFormat.class);
TextInputFormat.setInputPaths(job, inputPath);
TextOutputFormat.setOutputPath(job, outputPath);
return job.waitForCompletion(true) ? 0 : 1;
}
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
if (otherArgs.length != 3) {
System.err.println("Usage: RedisOutput <user data> <redis hosts> <hash name>");
System.exit(1);
}
Path inputPath = new Path(otherArgs[0]);
String hosts = otherArgs[1];
String hashName = otherArgs[2];
Job job = new Job(conf, "Redis Output");
job.setJarByClass(RedisOutputDriver.class);
job.setMapperClass(RedisOutputMapper.class);
job.setNumReduceTasks(0);
job.setInputFormatClass(TextInputFormat.class);
TextInputFormat.setInputPaths(job, inputPath);
job.setOutputFormatClass(RedisHashOutputFormat.class);
RedisHashOutputFormat.setRedisHosts(job, hosts);
RedisHashOutputFormat.setRedisHashKey(job, hashName);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(Text.class);
int code = job.waitForCompletion(true) ? 0 : 2;
System.exit(code);
}
@Override
public int run(String[] args) {
Opts opts = new Opts();
opts.parseArgs(BulkIngestExample.class.getName(), args);
Configuration conf = getConf();
PrintStream out = null;
try {
Job job = JobUtil.getJob(conf);
job.setJobName("bulk ingest example");
job.setJarByClass(this.getClass());
job.setInputFormatClass(TextInputFormat.class);
job.setMapperClass(MapClass.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(Text.class);
job.setReducerClass(ReduceClass.class);
job.setOutputFormatClass(AccumuloFileOutputFormat.class);
opts.setAccumuloConfigs(job);
Connector connector = opts.getConnector();
TextInputFormat.setInputPaths(job, new Path(opts.inputDir));
AccumuloFileOutputFormat.setOutputPath(job, new Path(opts.workDir + "/files"));
FileSystem fs = FileSystem.get(conf);
out =
new PrintStream(
new BufferedOutputStream(fs.create(new Path(opts.workDir + "/splits.txt"))));
Collection<Text> splits = connector.tableOperations().listSplits(opts.getTableName(), 100);
for (Text split : splits)
out.println(new String(Base64.encodeBase64(TextUtil.getBytes(split))));
job.setNumReduceTasks(splits.size() + 1);
out.close();
job.setPartitionerClass(RangePartitioner.class);
RangePartitioner.setSplitFile(job, opts.workDir + "/splits.txt");
job.waitForCompletion(true);
Path failures = new Path(opts.workDir, "failures");
fs.delete(failures, true);
fs.mkdirs(new Path(opts.workDir, "failures"));
connector
.tableOperations()
.importDirectory(
opts.getTableName(), opts.workDir + "/files", opts.workDir + "/failures", false);
} catch (Exception e) {
throw new RuntimeException(e);
} finally {
if (out != null) out.close();
}
return 0;
}
public int run(String[] args) throws Exception {
String input = args[0];
Job job = new Job(conf, "jobName");
job.setJarByClass(HbaseMR.class);
job.setMapperClass(Map.class);
job.setNumReduceTasks(0);
job.setInputFormatClass(TextInputFormat.class);
TextInputFormat.setInputPaths(job, input);
job.setOutputFormatClass(NullOutputFormat.class);
return job.waitForCompletion(true) ? 0 : 1;
}
/** @param args */
@Override
public int run(String[] args) throws Exception {
Opts opts = new Opts();
opts.parseArgs(getClass().getName(), args);
Job job = JobUtil.getJob(getConf());
job.setJobName(getClass().getSimpleName());
job.setJarByClass(getClass());
opts.setAccumuloConfigs(job);
job.setInputFormatClass(TextInputFormat.class);
job.setOutputFormatClass(AccumuloOutputFormat.class);
job.setMapperClass(NGramMapper.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(Mutation.class);
job.setNumReduceTasks(0);
job.setSpeculativeExecution(false);
if (!opts.getConnector().tableOperations().exists(opts.tableName)) {
log.info("Creating table " + opts.tableName);
opts.getConnector().tableOperations().create(opts.tableName);
SortedSet<Text> splits = new TreeSet<Text>();
String numbers[] = "1 2 3 4 5 6 7 8 9".split("\\s");
String lower[] = "a b c d e f g h i j k l m n o p q r s t u v w x y z".split("\\s");
String upper[] = "A B C D E F G H I J K L M N O P Q R S T U V W X Y Z".split("\\s");
for (String[] array : new String[][] {numbers, lower, upper}) {
for (String s : array) {
splits.add(new Text(s));
}
}
opts.getConnector().tableOperations().addSplits(opts.tableName, splits);
}
TextInputFormat.addInputPath(job, new Path(opts.inputDirectory));
job.waitForCompletion(true);
return job.isSuccessful() ? 0 : 1;
}
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
if (otherArgs.length != 4) {
System.err.println(
"Usage: ReplicatedJoin <user data> <comment data> <out> [inner|leftouter]");
System.exit(1);
}
String joinType = otherArgs[3];
if (!(joinType.equalsIgnoreCase("inner") || joinType.equalsIgnoreCase("leftouter"))) {
System.err.println("Join type not set to inner or leftouter");
System.exit(2);
}
// Configure the join type
Job job = new Job(conf, "Replicated Join");
job.getConfiguration().set("join.type", joinType);
job.setJarByClass(ReplicatedJoinDriver.class);
job.setMapperClass(ReplicatedJoinMapper.class);
job.setNumReduceTasks(0);
TextInputFormat.setInputPaths(job, new Path(otherArgs[1]));
TextOutputFormat.setOutputPath(job, new Path(otherArgs[2]));
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(Text.class);
// Configure the DistributedCache
DistributedCache.addCacheFile(new Path(otherArgs[0]).toUri(), job.getConfiguration());
DistributedCache.setLocalFiles(job.getConfiguration(), otherArgs[0]);
System.exit(job.waitForCompletion(true) ? 0 : 3);
}
@Override
public List<InputSplit> getSplits(JobContext context) throws IOException, InterruptedException {
return textIF.getSplits(context);
}
/**
* Run a local map reduce job to load data from in memory records to an HCatalog Table
*
* @param partitionValues
* @param partitionColumns
* @param records data to be written to HCatalog table
* @param writeCount
* @param assertWrite
* @param asSingleMapTask
* @return
* @throws Exception
*/
Job runMRCreate(
Map<String, String> partitionValues,
List<HCatFieldSchema> partitionColumns,
List<HCatRecord> records,
int writeCount,
boolean assertWrite,
boolean asSingleMapTask,
String customDynamicPathPattern)
throws Exception {
writeRecords = records;
MapCreate.writeCount = 0;
Configuration conf = new Configuration();
Job job = new Job(conf, "hcat mapreduce write test");
job.setJarByClass(this.getClass());
job.setMapperClass(HCatMapReduceTest.MapCreate.class);
// input/output settings
job.setInputFormatClass(TextInputFormat.class);
if (asSingleMapTask) {
// One input path would mean only one map task
Path path = new Path(fs.getWorkingDirectory(), "mapred/testHCatMapReduceInput");
createInputFile(path, writeCount);
TextInputFormat.setInputPaths(job, path);
} else {
// Create two input paths so that two map tasks get triggered. There could be other ways
// to trigger two map tasks.
Path path = new Path(fs.getWorkingDirectory(), "mapred/testHCatMapReduceInput");
createInputFile(path, writeCount / 2);
Path path2 = new Path(fs.getWorkingDirectory(), "mapred/testHCatMapReduceInput2");
createInputFile(path2, (writeCount - writeCount / 2));
TextInputFormat.setInputPaths(job, path, path2);
}
job.setOutputFormatClass(HCatOutputFormat.class);
OutputJobInfo outputJobInfo = OutputJobInfo.create(dbName, tableName, partitionValues);
if (customDynamicPathPattern != null) {
job.getConfiguration()
.set(HCatConstants.HCAT_DYNAMIC_CUSTOM_PATTERN, customDynamicPathPattern);
}
HCatOutputFormat.setOutput(job, outputJobInfo);
job.setMapOutputKeyClass(BytesWritable.class);
job.setMapOutputValueClass(DefaultHCatRecord.class);
job.setNumReduceTasks(0);
HCatOutputFormat.setSchema(job, new HCatSchema(partitionColumns));
boolean success = job.waitForCompletion(true);
// Ensure counters are set when data has actually been read.
if (partitionValues != null) {
assertTrue(
job.getCounters().getGroup("FileSystemCounters").findCounter("FILE_BYTES_READ").getValue()
> 0);
}
if (!HCatUtil.isHadoop23()) {
// Local mode outputcommitter hook is not invoked in Hadoop 1.x
if (success) {
new FileOutputCommitterContainer(job, null).commitJob(job);
} else {
new FileOutputCommitterContainer(job, null).abortJob(job, JobStatus.State.FAILED);
}
}
if (assertWrite) {
// we assert only if we expected to assert with this call.
Assert.assertEquals(writeCount, MapCreate.writeCount);
}
if (isTableExternal()) {
externalTableLocation = outputJobInfo.getTableInfo().getTableLocation();
}
return job;
}
