private Fields generateTermVectorsFromDoc(TermVectorRequest request, boolean doAllFields)
throws IOException {
// parse the document, at the moment we do update the mapping, just like percolate
ParsedDocument parsedDocument =
parseDocument(indexShard.shardId().getIndex(), request.type(), request.doc());
// select the right fields and generate term vectors
ParseContext.Document doc = parsedDocument.rootDoc();
Collection<String> seenFields = new HashSet<>();
Collection<GetField> getFields = new HashSet<>();
for (IndexableField field : doc.getFields()) {
FieldMapper fieldMapper = indexShard.mapperService().smartNameFieldMapper(field.name());
if (seenFields.contains(field.name())) {
continue;
} else {
seenFields.add(field.name());
}
if (!isValidField(fieldMapper)) {
continue;
}
if (request.selectedFields() == null
&& !doAllFields
&& !fieldMapper.fieldType().storeTermVectors()) {
continue;
}
if (request.selectedFields() != null && !request.selectedFields().contains(field.name())) {
continue;
}
String[] values = doc.getValues(field.name());
getFields.add(new GetField(field.name(), Arrays.asList((Object[]) values)));
}
return generateTermVectors(getFields, request.offsets(), request.perFieldAnalyzer());
}
/** populates a request object (pre-populated with defaults) based on a parser. */
public static void parseRequest(TermVectorRequest termVectorRequest, XContentParser parser)
throws IOException {
XContentParser.Token token;
String currentFieldName = null;
List<String> fields = new ArrayList<>();
while ((token = parser.nextToken()) != XContentParser.Token.END_OBJECT) {
if (token == XContentParser.Token.FIELD_NAME) {
currentFieldName = parser.currentName();
} else if (currentFieldName != null) {
if (currentFieldName.equals("fields")) {
if (token == XContentParser.Token.START_ARRAY) {
while (parser.nextToken() != XContentParser.Token.END_ARRAY) {
fields.add(parser.text());
}
} else {
throw new ElasticsearchParseException(
"The parameter fields must be given as an array! Use syntax : \"fields\" : [\"field1\", \"field2\",...]");
}
} else if (currentFieldName.equals("offsets")) {
termVectorRequest.offsets(parser.booleanValue());
} else if (currentFieldName.equals("positions")) {
termVectorRequest.positions(parser.booleanValue());
} else if (currentFieldName.equals("payloads")) {
termVectorRequest.payloads(parser.booleanValue());
} else if (currentFieldName.equals("term_statistics")
|| currentFieldName.equals("termStatistics")) {
termVectorRequest.termStatistics(parser.booleanValue());
} else if (currentFieldName.equals("field_statistics")
|| currentFieldName.equals("fieldStatistics")) {
termVectorRequest.fieldStatistics(parser.booleanValue());
} else if ("_index"
.equals(currentFieldName)) { // the following is important for multi request parsing.
termVectorRequest.index = parser.text();
} else if ("_type".equals(currentFieldName)) {
termVectorRequest.type = parser.text();
} else if ("_id".equals(currentFieldName)) {
if (termVectorRequest.doc != null) {
throw new ElasticsearchParseException(
"Either \"id\" or \"doc\" can be specified, but not both!");
}
termVectorRequest.id = parser.text();
} else if ("doc".equals(currentFieldName)) {
if (termVectorRequest.id != null) {
throw new ElasticsearchParseException(
"Either \"id\" or \"doc\" can be specified, but not both!");
}
termVectorRequest.doc(jsonBuilder().copyCurrentStructure(parser));
} else if ("_routing".equals(currentFieldName) || "routing".equals(currentFieldName)) {
termVectorRequest.routing = parser.text();
} else {
throw new ElasticsearchParseException(
"The parameter " + currentFieldName + " is not valid for term vector request!");
}
}
}
if (fields.size() > 0) {
String[] fieldsAsArray = new String[fields.size()];
termVectorRequest.selectedFields(fields.toArray(fieldsAsArray));
}
}
private Fields addGeneratedTermVectors(
Engine.GetResult get,
Fields termVectorsByField,
TermVectorRequest request,
Set<String> selectedFields)
throws IOException {
/* only keep valid fields */
Set<String> validFields = new HashSet<>();
for (String field : selectedFields) {
FieldMapper fieldMapper = indexShard.mapperService().smartNameFieldMapper(field);
if (!isValidField(fieldMapper)) {
continue;
}
// already retrieved, only if the analyzer hasn't been overridden at the field
if (fieldMapper.fieldType().storeTermVectors()
&& (request.perFieldAnalyzer() == null
|| !request.perFieldAnalyzer().containsKey(field))) {
continue;
}
validFields.add(field);
}
if (validFields.isEmpty()) {
return termVectorsByField;
}
/* generate term vectors from fetched document fields */
GetResult getResult =
indexShard
.getService()
.get(
get,
request.id(),
request.type(),
validFields.toArray(Strings.EMPTY_ARRAY),
null,
false);
Fields generatedTermVectors =
generateTermVectors(
getResult.getFields().values(), request.offsets(), request.perFieldAnalyzer());
/* merge with existing Fields */
if (termVectorsByField == null) {
return generatedTermVectors;
} else {
return mergeFields(termVectorsByField, generatedTermVectors);
}
}
