public TermsIntFacetCollector(
String facetName,
String fieldName,
int size,
TermsFacet.ComparatorType comparatorType,
boolean allTerms,
SearchContext context,
ImmutableSet<String> excluded,
String scriptLang,
String script,
Map<String, Object> params) {
super(facetName);
this.fieldDataCache = context.fieldDataCache();
this.size = size;
this.comparatorType = comparatorType;
this.numberOfShards = context.numberOfShards();
MapperService.SmartNameFieldMappers smartMappers = context.mapperService().smartName(fieldName);
if (smartMappers == null || !smartMappers.hasMapper()) {
throw new ElasticSearchIllegalArgumentException(
"Field ["
+ fieldName
+ "] doesn't have a type, can't run terms int facet collector on it");
} else {
// add type filter if there is exact doc mapper associated with it
if (smartMappers.hasDocMapper()) {
setFilter(context.filterCache().cache(smartMappers.docMapper().typeFilter()));
}
if (smartMappers.mapper().fieldDataType() != FieldDataType.DefaultTypes.INT) {
throw new ElasticSearchIllegalArgumentException(
"Field ["
+ fieldName
+ "] is not of int type, can't run terms int facet collector on it");
}
this.indexFieldName = smartMappers.mapper().names().indexName();
this.fieldDataType = smartMappers.mapper().fieldDataType();
}
if (script != null) {
this.script = context.scriptService().search(context.lookup(), scriptLang, script, params);
} else {
this.script = null;
}
if (this.script == null && excluded.isEmpty()) {
aggregator = new StaticAggregatorValueProc(CacheRecycler.popIntIntMap());
} else {
aggregator = new AggregatorValueProc(CacheRecycler.popIntIntMap(), excluded, this.script);
}
if (allTerms) {
try {
for (IndexReader reader : context.searcher().subReaders()) {
IntFieldData fieldData =
(IntFieldData) fieldDataCache.cache(fieldDataType, reader, indexFieldName);
fieldData.forEachValue(aggregator);
}
} catch (Exception e) {
throw new FacetPhaseExecutionException(facetName, "failed to load all terms", e);
}
}
}
@Override
protected void doCollect(int doc) throws IOException {
fieldData.forEachValueInDoc(doc, aggregator);
}