本文整理了Java中org.apache.storm.tuple.Tuple.select()
方法的一些代码示例,展示了Tuple.select()
的具体用法。这些代码示例主要来源于Github
/Stackoverflow
/Maven
等平台,是从一些精选项目中提取出来的代码,具有较强的参考意义,能在一定程度帮忙到你。Tuple.select()
方法的具体详情如下:
包路径:org.apache.storm.tuple.Tuple
类名称:Tuple
方法名:select
[英]Returns a subset of the tuple based on the fields selector.
[中]基于字段选择器返回元组的子集。
代码示例来源:origin: apache/storm
@Override
public void execute(Tuple tuple) {
List<Object> id = tuple.select(_idFields);
GlobalStreamId streamId = new GlobalStreamId(tuple.getSourceComponent(), tuple.getSourceStreamId());
if (!_pending.containsKey(id)) {
_pending.put(id, new HashMap<GlobalStreamId, Tuple>());
}
Map<GlobalStreamId, Tuple> parts = _pending.get(id);
if (parts.containsKey(streamId)) {
throw new RuntimeException("Received same side of single join twice");
}
parts.put(streamId, tuple);
if (parts.size() == _numSources) {
_pending.remove(id);
List<Object> joinResult = new ArrayList<Object>();
for (String outField : _outFields) {
GlobalStreamId loc = _fieldLocations.get(outField);
joinResult.add(parts.get(loc).getValueByField(outField));
}
_collector.emit(new ArrayList<Tuple>(parts.values()), joinResult);
for (Tuple part : parts.values()) {
_collector.ack(part);
}
}
}
代码示例来源:origin: Paleozoic/storm_spring_boot_demo
@Override
public void execute(Tuple tuple) {
List<Object> id = tuple.select(_idFields);
GlobalStreamId streamId = new GlobalStreamId(tuple.getSourceComponent(), tuple.getSourceStreamId());
if (!_pending.containsKey(id)) {
_pending.put(id, new HashMap<GlobalStreamId, Tuple>());
}
Map<GlobalStreamId, Tuple> parts = _pending.get(id);
if (parts.containsKey(streamId))
throw new RuntimeException("Received same side of single join twice");
parts.put(streamId, tuple);
if (parts.size() == _numSources) {
_pending.remove(id);
List<Object> joinResult = new ArrayList<Object>();
for (String outField : _outFields) {
GlobalStreamId loc = _fieldLocations.get(outField);
joinResult.add(parts.get(loc).getValueByField(outField));
}
_collector.emit(new ArrayList<Tuple>(parts.values()), joinResult);
for (Tuple part : parts.values()) {
_collector.ack(part);
}
}
}
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