public void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
String cur_file =
((FileSplit) context.getInputSplit()).getPath().getParent().getParent().getName();
String train_file = context.getConfiguration().get("train_file");
if (cur_file.equals(train_file)) {
StringTokenizer st = new StringTokenizer(value.toString());
String word = st.nextToken();
String f_id = st.nextToken();
myKey.set(word);
myVal.set(f_id);
context.write(myKey, myVal);
} else {
StringTokenizer st = new StringTokenizer(value.toString());
String word = st.nextToken();
String f_id = st.nextToken();
StringBuilder builder = new StringBuilder(dlt);
while (st.hasMoreTokens()) {
String filename = st.nextToken();
String tf_idf = st.nextToken();
builder.append(filename);
builder.append(dlt);
builder.append(tf_idf);
builder.append("\t");
}
myKey.set(word);
myVal.set(builder.toString());
context.write(myKey, myVal);
}
}
public void map(
LongWritable key,
Text value,
OutputCollector<IntWritable, DoubleWritable> output,
Reporter reporter)
throws IOException {
/*
* It implements the mapper. It outputs the numbers of weight and updated weights.
*
* Note that the format of intermediate output is <IntWritable, DoubleWritable>,
* because the key is the number of weight (an integer), and the value is the weight's value (double)
*/
inputData = value.toString();
// go through the process
initialize();
getposphase();
getnegphase();
update();
// output the intermediate data
// The <key, value> pairs are <weightID, weightUpdate>
double[][] vishidinc_array = vishidinc.getArray();
for (int i = 0; i < numdims; i++) {
for (int j = 0; j < numhid; j++) {
weightPos.set(i * numhid + j);
weightValue.set(vishidinc_array[i][j]);
output.collect(weightPos, weightValue);
}
}
}
// specify input and out keys
public void map(
LongWritable key, Text value, OutputCollector<Text, Text> output, Reporter reporter)
throws IOException {
String line = value.toString(); // define new variable to be string
ArrayList<Integer> range = new ArrayList<Integer>();
for (int i = 2000; i <= 2010; i++) {
range.add(i);
}
// String[] inputs = line.split(",(?=([^\"]*\"[^\"]*\")*[^\"]*$)");
String[] inputs = line.split(",");
try {
int year = Integer.parseInt(inputs[165]);
if (range.contains(year)) {
String dur = inputs[3];
String artist_name = inputs[2];
String song_title = inputs[1];
String final_input = artist_name + ',' + dur + ',' + song_title;
Final_Value.set(final_input);
output.collect(Final_Value, dummy);
}
} catch (NumberFormatException e) {
// do nothing
}
}
public void reduce(Text key, Iterable<IntWritable> values, Context context)
throws IOException, InterruptedException {
int sum = 0;
boolean filtered = true;
String keypair = key.toString();
String[] keys = keypair.split(" ");
if (keys.length == 1) {
filtered = false;
} else {
if (keys[0].equals("*") || keys[1].equals("*")) {
filtered = false;
}
}
if (!filtered) {
for (IntWritable val : values) {
sum += val.get();
}
context.write(key, new IntWritable(sum));
return;
}
for (IntWritable val : values) {
if (val.get() == -1) {
filtered = false;
continue;
}
sum += val.get();
}
// filter non-needed events
if (filtered) return;
context.write(key, new IntWritable(sum));
}
public void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
String line = value.toString();
String[] arr = line.split(",");
word.set(arr[0]);
context.write(word, one);
}
public void map(LongWritable key, Text value, OutputCollector output, Reporter reporter)
throws IOException {
String line = value.toString();
StringTokenizer tokenizer = new StringTokenizer(line);
while (tokenizer.hasMoreTokens()) {
word.set(tokenizer.nextToken());
output.collect(word, one);
}
}
public void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
String line = value.toString();
StringTokenizer tokenizer = new StringTokenizer(line);
while (tokenizer.hasMoreTokens()) {
word.set(tokenizer.nextToken());
context.write(word, one);
}
}
public void reduce(
Text key,
Iterator<CrawlDatum> values,
OutputCollector<Text, CrawlDatum> output,
Reporter reporter)
throws IOException {
boolean oldSet = false;
boolean injectedSet = false;
while (values.hasNext()) {
CrawlDatum val = values.next();
if (val.getStatus() == CrawlDatum.STATUS_INJECTED) {
injected.set(val);
injected.setStatus(CrawlDatum.STATUS_DB_UNFETCHED);
injectedSet = true;
} else {
old.set(val);
oldSet = true;
}
}
CrawlDatum res = null;
/**
* Whether to overwrite, ignore or update existing records
*
* @see https://issues.apache.org/jira/browse/NUTCH-1405
*/
// Injected record already exists and overwrite but not update
if (injectedSet && oldSet && overwrite) {
res = injected;
if (update) {
LOG.info(key.toString() + " overwritten with injected record but update was specified.");
}
}
// Injected record already exists and update but not overwrite
if (injectedSet && oldSet && update && !overwrite) {
res = old;
old.putAllMetaData(injected);
old.setScore(injected.getScore() != scoreInjected ? injected.getScore() : old.getScore());
old.setFetchInterval(
injected.getFetchInterval() != interval
? injected.getFetchInterval()
: old.getFetchInterval());
}
// Old default behaviour
if (injectedSet && !oldSet) {
res = injected;
} else {
res = old;
}
output.collect(key, res);
}
public void map(
IntWritable key, Text value, OutputCollector<IntWritable, Text> output, Reporter reporter)
throws IOException {
String dataRow = value.toString();
StringTokenizer tk = new StringTokenizer(dataRow);
String label = tk.nextToken();
String image = tk.nextToken();
dataString.set(label + "\t" + image);
output.collect(sameKey, dataString);
}
public void map(
LongWritable key, Text value, OutputCollector<IntWritable, Text> output, Reporter reporter)
throws IOException {
String arr[] = value.toString().split("\\r?\\n");
for (String row : arr) {
if (row.startsWith("\"")) {
continue;
}
String parts[] = row.split(",");
output.collect(new IntWritable(new Integer(parts[1])), new Text(parts[4]));
}
}
public void map(
LongWritable key,
Text value,
OutputCollector<IntWritable, IntWritable> output,
Reporter reporter)
throws IOException {
String line = value.toString();
IntWritable clave = new IntWritable();
IntWritable valor = new IntWritable();
clave.set(Integer.parseInt(line));
valor.set(Integer.parseInt(line) + 1);
output.collect(clave, valor);
}
public void map(
LongWritable key,
Text value,
OutputCollector<DoubleWritable, DoubleWritable> output,
Reporter reporter)
throws IOException {
String line = value.toString();
DoubleWritable clave = new DoubleWritable();
DoubleWritable valor = new DoubleWritable();
clave.set(Double.parseDouble(line));
valor.set(Math.sqrt(Double.parseDouble(line)));
output.collect(clave, valor);
}
public void reduce(LongWritable key, Iterable<Text> values, Context context)
throws IOException, InterruptedException {
LongWritable curNodeId = key;
double previousPRValue = 1;
double nextPRValue = 0;
double localResidual = 0;
String edgeListOfCurNode = "";
long localResidualTransformed = 0;
for (Text value : values) {
String[] inputInfo = value.toString().split("\\s+");
// incoming pagerank value
if (inputInfo.length == 1) {
nextPRValue += Double.parseDouble(inputInfo[0]);
}
// current node info
else if (inputInfo.length == 3) {
edgeListOfCurNode = inputInfo[2];
previousPRValue = Double.parseDouble(inputInfo[1]);
} else if (inputInfo.length == 2) {
previousPRValue = Double.parseDouble(inputInfo[1]);
} else {
System.out.println("ERROR: received unexpected TEXT in length");
}
}
if (previousPRValue == 1) System.out.println("No node info has been received by a reducer");
// calculate the pagerank value according to the given formula
nextPRValue = pagerankFormula(nextPRValue);
// should also iterate sink nodes list, add the evenly splitted value
// reducer should store the updated node info(NPR) to output directory
context.write(null, new Text(curNodeId + " " + nextPRValue + " " + edgeListOfCurNode));
// then compare PPR with NPR
try {
localResidual = Math.abs(previousPRValue - nextPRValue) / nextPRValue;
localResidualTransformed = (long) (localResidual * 10000);
// System.out.println("Make sure you got the right transformed residual :
// "+localResidualTransformed);
} catch (ArithmeticException e) {
System.out.println("PPR is zero. Check where you get the value!");
}
// assume there is a global counter called residualCounter;
context.getCounter(myCounter.ResidualCounter.RESIDUAL_SUM).increment(localResidualTransformed);
}
@SuppressWarnings("unchecked")
public void reduce(
Text key,
Iterator<Text> values,
OutputCollector<NullWritable, Text> output,
Reporter reporter)
throws IOException {
OutputCollector collector =
multipleOutputs.getCollector("station", key.toString().replace("-", ""), reporter);
while (values.hasNext()) {
collector.collect(NullWritable.get(), values.next());
}
}
public void map(Object key, Text value, Context context)
throws IOException, InterruptedException {
String file = value.toString();
String[] lines = file.split("\n");
for (String line : lines) {
if (line.contains("<author>") && line.contains("</author>")) {
String author = line.substring(8, line.indexOf("</a"));
word.set(author);
context.write(word, one);
} else if (line.contains("<author>")) {
String author = line.substring(8);
word.set(author);
context.write(word, one);
}
}
}
/** Implements the map-method of the Mapper-interface */
@Override
public void map(
LongWritable key, Text value, OutputCollector<Text, IntWritable> output, Reporter reporter)
throws IOException {
String line = value.toString();
StringTokenizer tokenizer = new StringTokenizer(line);
while (tokenizer.hasMoreTokens()) {
String token = tokenizer.nextToken();
if (token.length() > 3) {
word.set(token);
output.collect(word, one);
}
}
}
public void map(
LongWritable key,
Text value,
OutputCollector<IntWritable, DoubleWritable> output,
Reporter reporter)
throws IOException {
String line = value.toString();
StringTokenizer tokenizer = new StringTokenizer(line);
int rowIdx = 0;
double xValue = 0;
if (tokenizer.hasMoreTokens()) {
rowIdx = Integer.parseInt(tokenizer.nextToken());
xValue = Double.parseDouble(tokenizer.nextToken());
}
double xResult = (resVec[rowIdx] - (sumVec[rowIdx] * xValue)) / diaVec[rowIdx];
output.collect(new IntWritable(rowIdx), new DoubleWritable(xResult));
}
@Override
public void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
String line = value.toString();
String[] tokens = line.split("\\s");
String hour = new String();
long numRequests = 0;
if (tokens.length > 4) {
// get the project name field
hour = tokens[4];
// get the number of requests field
numRequests = Long.parseLong(tokens[2]);
// output the key, value pairs where the key is a combination of
// project name and datetime and the value is number of requests
context.write(new Text(hour), new LongWritable(numRequests));
}
}
public void reduce(Text key, Iterable<Text> values, Context context)
throws IOException, InterruptedException {
String[] pair = new String[2];
int count = 0;
for (Text txt : values) {
pair[count] = txt.toString();
count++;
}
// word exists in training
if (count == 2) {
StringTokenizer st_one, st_two;
if (pair[0].contains(dlt)) {
st_one = new StringTokenizer(pair[1]);
st_two = new StringTokenizer(pair[0]);
} else {
st_one = new StringTokenizer(pair[0]);
st_two = new StringTokenizer(pair[1]);
}
// outputting the data
String f_id = st_one.nextToken();
StringBuilder builder = new StringBuilder(dlt);
builder.append(f_id);
builder.append(dlt);
while (st_two.hasMoreTokens()) {
String filename = st_two.nextToken();
String tf_idf = st_two.nextToken();
builder.append(filename);
builder.append(dlt);
builder.append(tf_idf);
builder.append("\t");
}
myVal.set(builder.toString());
context.write(key, myVal);
}
}
public void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
String line = value.toString();
splitposition = line.indexOf("\t");
labels = line.substring(0, splitposition);
content = line.substring(splitposition + 1, line.length());
if (content.length() <= 5) {
word.set(labels);
int counter = Integer.parseInt(content);
context.write(word, new IntWritable(counter));
return;
}
labeltokens = labels.split(",");
contenttokens = tokenizeDoc(content);
for (String label : labelspace) {
for (String token : contenttokens) {
// filter token, denotes the needed events;
word.set(label + " " + token);
context.write(word, new IntWritable(-1));
}
}
}
public void map(
WritableComparable<?> key,
Text value,
OutputCollector<Text, CrawlDatum> output,
Reporter reporter)
throws IOException {
String url = value.toString(); // value is line of text
if (url != null && url.trim().startsWith("#")) {
/* Ignore line that start with # */
return;
}
// if tabs : metadata that could be stored
// must be name=value and separated by \t
float customScore = -1f;
int customInterval = interval;
int fixedInterval = -1;
Map<String, String> metadata = new TreeMap<String, String>();
if (url.indexOf("\t") != -1) {
String[] splits = url.split("\t");
url = splits[0];
for (int s = 1; s < splits.length; s++) {
// find separation between name and value
int indexEquals = splits[s].indexOf("=");
if (indexEquals == -1) {
// skip anything without a =
continue;
}
String metaname = splits[s].substring(0, indexEquals);
String metavalue = splits[s].substring(indexEquals + 1);
if (metaname.equals(nutchScoreMDName)) {
try {
customScore = Float.parseFloat(metavalue);
} catch (NumberFormatException nfe) {
}
} else if (metaname.equals(nutchFetchIntervalMDName)) {
try {
customInterval = Integer.parseInt(metavalue);
} catch (NumberFormatException nfe) {
}
} else if (metaname.equals(nutchFixedFetchIntervalMDName)) {
try {
fixedInterval = Integer.parseInt(metavalue);
} catch (NumberFormatException nfe) {
}
} else metadata.put(metaname, metavalue);
}
}
try {
url = urlNormalizers.normalize(url, URLNormalizers.SCOPE_INJECT);
url = filters.filter(url); // filter the url
} catch (Exception e) {
if (LOG.isWarnEnabled()) {
LOG.warn("Skipping " + url + ":" + e);
}
url = null;
}
if (url == null) {
reporter.getCounter("injector", "urls_filtered").increment(1);
} else { // if it passes
value.set(url); // collect it
CrawlDatum datum = new CrawlDatum();
datum.setStatus(CrawlDatum.STATUS_INJECTED);
// Is interval custom? Then set as meta data
if (fixedInterval > -1) {
// Set writable using float. Flaot is used by AdaptiveFetchSchedule
datum
.getMetaData()
.put(Nutch.WRITABLE_FIXED_INTERVAL_KEY, new FloatWritable(fixedInterval));
datum.setFetchInterval(fixedInterval);
} else {
datum.setFetchInterval(customInterval);
}
datum.setFetchTime(curTime);
// now add the metadata
Iterator<String> keysIter = metadata.keySet().iterator();
while (keysIter.hasNext()) {
String keymd = keysIter.next();
String valuemd = metadata.get(keymd);
datum.getMetaData().put(new Text(keymd), new Text(valuemd));
}
if (customScore != -1) datum.setScore(customScore);
else datum.setScore(scoreInjected);
try {
scfilters.injectedScore(value, datum);
} catch (ScoringFilterException e) {
if (LOG.isWarnEnabled()) {
LOG.warn(
"Cannot filter injected score for url "
+ url
+ ", using default ("
+ e.getMessage()
+ ")");
}
}
reporter.getCounter("injector", "urls_injected").increment(1);
output.collect(value, datum);
}
}