@Test
public void testSerialize() {
ObserverAggregators.HCol[] hcols =
new ObserverAggregators.HCol[] { //
newHCol("f", "c1", new String[] {"SUM", "COUNT"}, new String[] {"decimal", "long"}), //
newHCol("f", "c2", new String[] {"SUM", "SUM"}, new String[] {"long", "long"})
};
ObserverAggregators sample = new ObserverAggregators(hcols);
byte[] bytes = ObserverAggregators.serialize(sample);
ObserverAggregators copy = ObserverAggregators.deserialize(bytes);
assertTrue(sample.nHCols == copy.nHCols);
assertTrue(sample.nTotalMeasures == copy.nTotalMeasures);
assertEquals(sample.hcols[0], copy.hcols[0]);
assertEquals(sample.hcols[1], copy.hcols[1]);
}
@SuppressWarnings("rawtypes")
ObserverAggregationCache buildAggrCache(
final RegionScanner innerScanner,
CoprocessorRowType type,
CoprocessorProjector projector,
ObserverAggregators aggregators,
CoprocessorFilter filter,
Stats stats)
throws IOException {
ObserverAggregationCache aggCache = new ObserverAggregationCache(aggregators);
ObserverTuple tuple = new ObserverTuple(type);
boolean hasMore = true;
List<Cell> results = new ArrayList<Cell>();
while (hasMore) {
results.clear();
hasMore = innerScanner.nextRaw(results);
if (results.isEmpty()) continue;
if (stats != null) stats.countInputRow(results);
Cell cell = results.get(0);
tuple.setUnderlying(cell.getRowArray(), cell.getRowOffset(), cell.getRowLength());
if (behavior.ordinal() >= ObserverBehavior.SCAN_FILTER.ordinal()) {
if (filter != null && filter.evaluate(tuple) == false) continue;
if (behavior.ordinal() >= ObserverBehavior.SCAN_FILTER_AGGR.ordinal()) {
AggrKey aggKey = projector.getAggrKey(results);
MeasureAggregator[] bufs = aggCache.getBuffer(aggKey);
aggregators.aggregate(bufs, results);
aggCache.checkMemoryUsage();
}
}
}
return aggCache;
}