void reduce(HadoopPipes::ReduceContext& context) {
printf("DBG:--enter reduce func ...\n");
while(context.nextValue()){
printf("DBG:--key:%s value%s\n",context.getInputKey().c_str(),context.getInputValue().c_str());
}
context.emit(context.getInputKey(),context.getInputValue());
printf("DBG:--exit reduce func ...\n");
}
void OsmMapReducer::reduce(HadoopPipes::ReduceContext& context)
{
_context = &context;
const string& k = context.getInputKey();
OsmMapIterator it(_context, _map, _reader);
reduce(k, it, context);
}
void reduce(HadoopPipes::ReduceContext& context) {
int maxValue = 1;
while (context.nextValue()) {
maxValue = max(maxValue, toInt(context.getInputValue()));
}
context.emit(context.getInputKey(), toString(maxValue));
}
void reduce(HadoopPipes::ReduceContext& context) {
int maxValue = INT_MIN;
while (context.nextValue()) {
maxValue = std::max(maxValue, HadoopUtils::toInt(context.getInputValue()));
}
context.emit(context.getInputKey(), HadoopUtils::toString(maxValue));
}
// reduce function
void reduce( HadoopPipes::ReduceContext& context ) {
int count = 0;
//--- get all tuples with the same key, and count their numbers ---
while ( context.nextValue() ) {
count += HadoopUtils::toInt( context.getInputValue() );
}
//--- emit (word, count) ---
context.emit(context.getInputKey(), HadoopUtils::toString( count ));
}
void reduce(HadoopPipes::ReduceContext& context) {
std::string key = context.getInputKey();
std::vector<uint32_t> ids;
while (context.nextValue()) {
ids.push_back(nise::ParseUint32(context.getInputValue()));
}
std::sort(ids.begin(), ids.end());
ids.resize(std::unique(ids.begin(), ids.end()) - ids.begin());
std::ostringstream ss(std::ios::binary);;
nise::WriteVector<uint32_t>(ss, ids);
std::string value(ss.str());
context.emit(key, value);
}
void WriteOsmSqlStatementsReducer::reduce(HadoopPipes::ReduceContext& context)
{
if (_context == NULL)
{
_context = &context;
}
boost::shared_ptr<Configuration> config(HadoopPipesUtils::toConfiguration(_context->getJobConf()));
//LOG_VARD(config->getInt("mapred.reduce.tasks"));
_localJobTracker = config->get("mapred.job.tracker") == "local";
const long writeBufferSize = config->getLong("writeBufferSize");
LOG_VART(writeBufferSize);
if (config->hasKey("dbConnUrl"))
{
_dbConnStr = QString::fromStdString(config->get("dbConnUrl"));
LOG_VART(_dbConnStr);
}
_retainSqlFile = config->get("retainSqlFile") == "1" ? true : false;
LOG_VART(_retainSqlFile);
//key syntax: <element id>;<table header> OR <element id>;<member id>;<table header>
const QStringList keyParts = QString::fromStdString(context.getInputKey()).split(";");
const QString tableHeader = keyParts[keyParts.size() - 2] + ";\n";
LOG_VART(tableHeader);
while (context.nextValue())
{
_updateElementCounts(tableHeader);
const QString newValue = QString::fromStdString(context.getInputValue());
LOG_VART(newValue);
_sqlStatementBuffer[tableHeader] = _sqlStatementBuffer[tableHeader] % newValue;
LOG_VART(_sqlStatementBuffer[tableHeader]);
_sqlStatementBufferSize++;
if (!_localJobTracker)
{
_context->incrementCounter(
_context->getCounter("WriteOsmSqlStatements", "SQL statements"), 1);
}
//this flush will cause the same table to be written to the file twice, each time with a
//different set of sql records...but that's ok...SQL is still valid
if (_sqlStatementBufferSize >= writeBufferSize)
{
_flush();
}
}
}
void reduce(HadoopPipes::ReduceContext& context) {
buffer[0] = MaxValueSimple::MAX_FAILURE;
i = 1;
while (context.nextValue()) {
if (i < MaxTemp_Reducer::MAX_VALUES)
buffer[i++] = atoi(context.getInputValue().c_str());
if (i >= MaxTemp_Reducer::MAX_VALUES) {
buffer[0]
= maxVal.maxValue(buffer, MaxTemp_Reducer::MAX_VALUES);
i = 1;
}
}
// work-around for context/iterable.hasNext()
if (i > 1)
buffer[0] = maxVal.maxValue(buffer, MaxTemp_Reducer::MAX_VALUES);
valStr.str("");
valStr << buffer[0];
context.emit(context.getInputKey(), valStr.str());
}
void reduce(HadoopPipes::ReduceContext& context) {
bool first = true;
nise::Record record;
std::string key = context.getInputKey();
while (context.nextValue()) {
std::stringstream ss(context.getInputValue());
if (first) {
nise::Signature::RECORD.check(ss);
record.readFields(ss);
if (ss) {
first = false;
continue;
}
}
else {
if (record.sources.size() > nise::MAX_SOURCES) {
context.incrementCounter(trimmed, 1);
break;
}
nise::Record cur;
nise::Signature::RECORD.check(ss);
cur.readFields(ss);
if (ss && (cur.sources.size() > 0)) {
record.sources.push_back(cur.sources[0]);
continue;
}
}
context.incrementCounter(bad, 1);
}
if (!first) {
std::ostringstream ss(std::ios::binary);
nise::Signature::RECORD.write(ss);
record.write(ss);
context.emit(key, ss.str());
}
}
void SyntopReducer::reduce(HadoopPipes::ReduceContext& context) { // NOLINT
boost::split(temp_string_components_, context.getInputKey(),
boost::is_any_of("_"));
float sum = 0;
while (context.nextValue()) {
sum += HadoopUtils::toFloat(context.getInputValue());
}
if (boost::starts_with(temp_string_components_[0], "gamma")) {
context.emit(context.getInputKey(), boost::lexical_cast<string>(sum));
} else if (boost::starts_with(temp_string_components_[0], "lhood")) {
// sum += GlobalLikelihoodTerm();
sum += GlobalWeightTerm(vars_->nu_.get(),
vars_->beta_.get(),
params_->alpha_trans(),
params_->alpha_top(),
params_->finite());
context.emit(context.getInputKey(), boost::lexical_cast<string>(sum));
} else {
if (boost::starts_with(temp_string_components_[2], "~")) {
// cout << "optimizing" << endl;
Optimize();
Emit(&output);
StringMap::const_iterator last = (output).end();
for (StringMap::const_iterator itr = (output).begin();
itr != last; itr++) {
// cout << itr->first << "\t" << itr->second << endl;
context.emit(itr->first, boost::lexical_cast<string>(itr->second));
}
output.clear();
last = (output).end();
for (StringMap::const_iterator itr = (output).begin();
itr != last; itr++) {
// cout << "output is\t" << itr->first << "\t" << itr->second << endl;
// context.emit(itr->first, boost::lexical_cast<string>(itr->second));
}
index = boost::lexical_cast<int>(temp_string_components_[1]);
vars_ = new VariationalParameters(*params_);
display_matrix(vars_->tau_est_top_.get(), "tau_est_top is\n");
display_vector(vars_->tau_est_bottom_.get(), "tau_est_bottom is\n");
tau_coordinate_ = -1;
nu_coordinate_ = -1;
} else {
ProcessKey(context.getInputKey(), sum);
// cout << "processing\t" << context.getInputKey() << "\t" << sum << endl;
}
/*
if (index == -1) {
index = boost::lexical_cast<double>(temp_string_components_[1]);
// reduceContext = context;
} else {
if (index != boost::lexical_cast<int>(temp_string_components_[1])) {
Optimize();
Emit(&output);
StringMap::const_iterator last = (output).end();
for (StringMap::const_iterator itr = (output).begin();
itr != last; itr++) {
// cout << itr->first << "\t" << itr->second << endl;
context.emit(itr->first, boost::lexical_cast<string>(itr->second));
}
output.clear();
index = boost::lexical_cast<int>(temp_string_components_[1]);
vars_ = new VariationalParameters(*params_);
tau_coordinate_ = -1;
nu_coordinate_ = -1;
}
}
*/
}
// }
}