stefanvodita commented on code in PR #12966:
URL: https://github.com/apache/lucene/pull/12966#discussion_r1518965858
##########
lucene/facet/src/java/org/apache/lucene/facet/taxonomy/TaxonomyFacets.java:
##########
@@ -142,6 +249,301 @@ DimConfig verifyDim(String dim) {
return dimConfig;
}
+ /**
+ * Roll-up the aggregation values from {@code childOrdinal} to {@code
ordinal}. Overrides should
+ * probably call this to update the counts. Overriding allows us to work
with primitive types for
+ * the aggregation values, keeping aggregation efficient.
+ */
+ protected void updateValueFromRollup(int ordinal, int childOrdinal) throws
IOException {
+ setCount(ordinal, getCount(ordinal) + rollup(childOrdinal));
+ }
+
+ /**
+ * Return a {@link TopOrdAndNumberQueue} of the appropriate type, i.e. a
{@link TopOrdAndIntQueue}
+ * or a {@link org.apache.lucene.facet.TopOrdAndFloatQueue}.
+ */
+ protected TopOrdAndNumberQueue makeTopOrdAndNumberQueue(int topN) {
+ return new TopOrdAndIntQueue(Math.min(taxoReader.getSize(), topN));
+ }
+
+ // TODO: We don't need this if we're okay with having an integer -1 in the
results even for float
+ // aggregations.
+ /** Return the value for a missing aggregation, i.e. {@code -1} or {@code
-1f}. */
+ protected Number missingAggregationValue() {
+ return -1;
+ }
+
+ /** Rolls up any single-valued hierarchical dimensions. */
+ void rollup() throws IOException {
+ if (initialized == false) {
+ return;
+ }
+
+ // Rollup any necessary dims:
+ int[] children = null;
+ for (Map.Entry<String, FacetsConfig.DimConfig> ent :
config.getDimConfigs().entrySet()) {
+ String dim = ent.getKey();
+ FacetsConfig.DimConfig ft = ent.getValue();
+ if (ft.hierarchical && ft.multiValued == false) {
+ int dimRootOrd = taxoReader.getOrdinal(new FacetLabel(dim));
+ // It can be -1 if this field was declared in the
+ // config but never indexed:
+ if (dimRootOrd > 0) {
+ if (children == null) {
+ // lazy init
+ children = getChildren();
+ }
+ updateValueFromRollup(dimRootOrd, children[dimRootOrd]);
+ }
+ }
+ }
+ }
+
+ private int rollup(int ord) throws IOException {
+ int[] children = getChildren();
+ int[] siblings = getSiblings();
+ int aggregatedValue = 0;
+ while (ord != TaxonomyReader.INVALID_ORDINAL) {
+ int currentValue = getCount(ord);
+ int newValue = currentValue + rollup(children[ord]);
+ setCount(ord, newValue);
+ aggregatedValue += getCount(ord);
+ ord = siblings[ord];
+ }
+ return aggregatedValue;
+ }
+
+ /**
+ * Create a FacetResult for the provided dim + path and intermediate
results. Does the extra work
+ * of resolving ordinals -> labels, etc. Will return null if there are no
children.
+ */
+ private FacetResult createFacetResult(
+ TopChildrenForPath topChildrenForPath, String dim, String... path)
throws IOException {
+ // If the intermediate result is null or there are no children, we return
null:
+ if (topChildrenForPath == null || topChildrenForPath.childCount == 0) {
+ return null;
+ }
+
+ TopOrdAndNumberQueue q = topChildrenForPath.childQueue;
+ assert q != null;
+
+ LabelAndValue[] labelValues = new LabelAndValue[q.size()];
+ int[] ordinals = new int[labelValues.length];
+ Number[] values = new Number[labelValues.length];
+
+ for (int i = labelValues.length - 1; i >= 0; i--) {
+ TopOrdAndNumberQueue.OrdAndValue ordAndValue = q.pop();
+ assert ordAndValue != null;
+ ordinals[i] = ordAndValue.ord;
+ values[i] = ordAndValue.value;
+ }
+
+ FacetLabel[] bulkPath = taxoReader.getBulkPath(ordinals);
+ // The path component we're interested in is the one immediately after the
provided path. We
+ // add 1 here to also account for the dim:
+ int childComponentIdx = path.length + 1;
+ for (int i = 0; i < labelValues.length; i++) {
+ labelValues[i] = new
LabelAndValue(bulkPath[i].components[childComponentIdx], values[i]);
+ }
+
+ return new FacetResult(
+ dim, path, topChildrenForPath.pathValue, labelValues,
topChildrenForPath.childCount);
+ }
+
+ @Override
+ public FacetResult getAllChildren(String dim, String... path) throws
IOException {
+ DimConfig dimConfig = verifyDim(dim);
+ FacetLabel cp = new FacetLabel(dim, path);
+ int dimOrd = taxoReader.getOrdinal(cp);
+ if (dimOrd == -1) {
+ return null;
+ }
+
+ if (initialized == false) {
+ return null;
+ }
+
+ Number aggregatedValue = 0;
+ int aggregatedCount = 0;
+
+ IntArrayList ordinals = new IntArrayList();
+ List<Number> ordValues = new ArrayList<>();
+
+ if (sparseCounts != null) {
+ for (IntIntCursor ordAndCount : sparseCounts) {
+ int ord = ordAndCount.key;
+ int count = ordAndCount.value;
+ Number value = getAggregationValue(ord);
+ if (parents[ord] == dimOrd && count > 0) {
+ aggregatedCount += count;
+ aggregatedValue = aggregate(aggregatedValue, value);
+ ordinals.add(ord);
+ ordValues.add(value);
+ }
+ }
+ } else {
+ int[] children = getChildren();
+ int[] siblings = getSiblings();
+ int ord = children[dimOrd];
+ while (ord != TaxonomyReader.INVALID_ORDINAL) {
+ int count = counts[ord];
+ Number value = getAggregationValue(ord);
+ if (count > 0) {
+ aggregatedCount += count;
+ aggregatedValue = aggregate(aggregatedValue, value);
+ ordinals.add(ord);
+ ordValues.add(value);
+ }
+ ord = siblings[ord];
+ }
+ }
+
+ if (aggregatedCount == 0) {
+ return null;
+ }
+
+ if (dimConfig.multiValued) {
+ if (dimConfig.requireDimCount) {
+ aggregatedValue = getAggregationValue(dimOrd);
+ } else {
+ // Our aggregated value is not correct, in general:
+ aggregatedValue = missingAggregationValue();
+ }
+ } else {
+ // Our aggregateddim value is accurate, so we keep it
+ }
+
+ // TODO: It would be nice if TaxonomyReader let us pass in a buffer + size
so we didn't have to
+ // do an array copy here:
+ FacetLabel[] bulkPath = taxoReader.getBulkPath(ordinals.toArray());
+
+ LabelAndValue[] labelValues = new LabelAndValue[ordValues.size()];
+ for (int i = 0; i < ordValues.size(); i++) {
+ labelValues[i] = new LabelAndValue(bulkPath[i].components[cp.length],
ordValues.get(i));
+ }
+ return new FacetResult(dim, path, aggregatedValue, labelValues,
ordinals.size());
+ }
+
+ private TopOrdAndNumberQueue.OrdAndValue insertIntoQueue(
Review Comment:
Good point. Added to #13175, where we can target improvements related to the
way we access these queues.
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