本文整理汇总了Java中java.util.concurrent.ConcurrentSkipListSet.size方法的典型用法代码示例。如果您正苦于以下问题:Java ConcurrentSkipListSet.size方法的具体用法?Java ConcurrentSkipListSet.size怎么用?Java ConcurrentSkipListSet.size使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类java.util.concurrent.ConcurrentSkipListSet
的用法示例。
在下文中一共展示了ConcurrentSkipListSet.size方法的4个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: testAddNonComparable
import java.util.concurrent.ConcurrentSkipListSet; //导入方法依赖的package包/类
/**
* Add of non-Comparable throws CCE
*/
public void testAddNonComparable() {
ConcurrentSkipListSet q = new ConcurrentSkipListSet();
try {
q.add(new Object());
q.add(new Object());
shouldThrow();
} catch (ClassCastException success) {
assertTrue(q.size() < 2);
for (int i = 0, size = q.size(); i < size; i++)
assertSame(Object.class, q.pollFirst().getClass());
assertNull(q.pollFirst());
assertTrue(q.isEmpty());
assertEquals(0, q.size());
}
}
示例2: getMarketStockCount
import java.util.concurrent.ConcurrentSkipListSet; //导入方法依赖的package包/类
/**
* Get how many stocks within this market.
* Could be OHLC's and not restricted by Stocks
* @return total number of OHLC
*/
public Integer getMarketStockCount() {
if (data != null && data.keySet().size() > 0) {
Map.Entry<String, ConcurrentSkipListSet<OHLC>> entry = data.entrySet().iterator().next();
ConcurrentSkipListSet<OHLC> value = entry.getValue();
return value.size();
}else {
return 0;
}
}
示例3: updateIndexEntry
import java.util.concurrent.ConcurrentSkipListSet; //导入方法依赖的package包/类
void updateIndexEntry(Document document, NitriteId nitriteId) {
Set<String> fields = getFields(document);
for (String field : fields) {
Index index = indexMetaService.findIndex(field);
if (index != null) {
Object fieldValue = getFieldValue(document, field);
if (fieldValue == null) continue;
validateDocumentIndexField(fieldValue, field);
// if dirty index and currently indexing is not running, rebuild
if (indexMetaService.isDirtyIndex(field) &&
indexBuildRegistry.get(field) != null
&& !indexBuildRegistry.get(field).get()) {
// rebuild will also take care of the current document
rebuildIndex(index, true);
} else {
IndexType indexType = index.getIndexType();
Object fieldLock = indexMetaService.getFieldLock(field);
if (indexType == IndexType.Fulltext && fieldValue instanceof String) {
// update text index
textIndexingService.updateIndex(nitriteId, field, (String) fieldValue);
} else {
NitriteMap<Comparable, ConcurrentSkipListSet<NitriteId>> indexMap
= indexMetaService.getIndexMap(field);
// create the nitriteId list associated with the value
ConcurrentSkipListSet<NitriteId> nitriteIdList
= indexMap.get((Comparable) fieldValue);
synchronized (fieldLock) {
if (nitriteIdList == null) {
nitriteIdList = new ConcurrentSkipListSet<>();
}
if (indexType == IndexType.Unique && nitriteIdList.size() == 1) {
// if key is already exists for unique type, throw error
throw new UniqueConstraintException(errorMessage(
"unique key constraint violation for " + field,
UCE_UPDATE_INDEX_CONSTRAINT_VIOLATED));
}
// add the nitriteId to the list
nitriteIdList.add(nitriteId);
indexMap.put((Comparable) fieldValue, nitriteIdList);
}
}
}
}
}
}
示例4: doCalculation
import java.util.concurrent.ConcurrentSkipListSet; //导入方法依赖的package包/类
/**
* Most important method to calculate moving average data and store it in
* smaData set
* @param orgData original data used to calculate smaData
*/
public void doCalculation(ConcurrentSkipListSet<OHLC> orgData){
//Everytime is a new calculation
smaPrice.clear();
smaVolume.clear();
int avgOn = avgOnProperty.getValue();
CalculationBase calBase = calBaseProperty.getValue();
//If source data is empty or less or equals to avgOn do nothing
if (orgData.isEmpty() || orgData.size() < avgOn){
return;
}
//Convert set to array
Object[] rawData;
rawData = (Object[])orgData.toArray();
//Start calculation
for (int i = 0; i<=rawData.length - avgOn; i++){
float totalPrice = 0f;
double totalVolume = 0l;
OHLC ohlc = null;
for(int j = i; j < i + avgOn; j++){
ohlc = (OHLC)rawData[j];
switch(calBase){
case OPEN:
totalPrice += ohlc.getOpen();
break;
case HIGH:
totalPrice += ohlc.getHigh();
break;
case LOW:
totalPrice += ohlc.getLow();
break;
case CLOSE:
totalPrice += ohlc.getClose();
break;
case MIDDIUM:
totalPrice += ((float)(ohlc.getHigh() + ohlc.getLow()) /(float)2);
break;
case TYPICAL:
totalPrice += (((float)(ohlc.getHigh() + ohlc.getLow() + ohlc.getClose()))/ (float)3);
break;
case WEIGHTED:
totalPrice += (((float)(ohlc.getHigh() + ohlc.getLow() + ohlc.getClose() + ohlc.getClose()))/ (float)4);
break;
case VOLUME:
totalVolume += ohlc.getVolume();
break;
}
}
float avgPrice = totalPrice / avgOn;
double avgVolume = totalVolume / avgOn;
if (ohlc != null){
if (calBase == CalculationBase.VOLUME){
//Volume is using Million as the units
//And it is keep 4 digits floating point
avgVolume/=1000000;
avgVolume *= 10000;
avgVolume = (float)Math.round(avgVolume);
avgVolume /= 10000;
smaVolume.put(ohlc.getDate(), avgVolume);
} else {
//round to 4 digits floating points
avgPrice *= 10000;
avgPrice = Math.round(avgPrice);
avgPrice /= 10000;
smaPrice.put(ohlc.getDate(), avgPrice);
}
}
}
}