/** 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));
}
}
/**
* Constructs a new term vector request for a document that will be fetch from the provided index.
* Use {@link #type(String)} and {@link #id(String)} to specify the document to load.
*/
public TermVectorRequest(TermVectorRequest other) {
super(other.index());
this.id = other.id();
this.type = other.type();
this.flagsEnum = other.getFlags().clone();
this.preference = other.preference();
this.routing = other.routing();
if (other.selectedFields != null) {
this.selectedFields = new HashSet<>(other.selectedFields);
}
}
private AggregatedDfs getAggregatedDfs(Fields termVectorFields, TermVectorRequest request)
throws IOException {
DfsOnlyRequest dfsOnlyRequest =
new DfsOnlyRequest(
termVectorFields,
new String[] {request.index()},
new String[] {request.type()},
request.selectedFields());
DfsOnlyResponse response = dfsAction.execute(dfsOnlyRequest).actionGet();
return response.getDfs();
}