/*
* Licensed to Elastic Search and Shay Banon under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. Elastic Search licenses this
* file to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.elasticsearch.search.facet.terms;
import com.google.common.collect.ImmutableSet;
import com.google.common.collect.Lists;
import org.elasticsearch.common.component.AbstractComponent;
import org.elasticsearch.common.inject.Inject;
import org.elasticsearch.common.regex.Regex;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.xcontent.XContentParser;
import org.elasticsearch.index.field.data.FieldDataType;
import org.elasticsearch.index.mapper.FieldMapper;
import org.elasticsearch.index.mapper.ip.IpFieldMapper;
import org.elasticsearch.search.facet.Facet;
import org.elasticsearch.search.facet.FacetCollector;
import org.elasticsearch.search.facet.FacetProcessor;
import org.elasticsearch.search.facet.terms.bytes.TermsByteFacetCollector;
import org.elasticsearch.search.facet.terms.bytes.TermsByteOrdinalsFacetCollector;
import org.elasticsearch.search.facet.terms.doubles.TermsDoubleFacetCollector;
import org.elasticsearch.search.facet.terms.doubles.TermsDoubleOrdinalsFacetCollector;
import org.elasticsearch.search.facet.terms.floats.TermsFloatFacetCollector;
import org.elasticsearch.search.facet.terms.floats.TermsFloatOrdinalsFacetCollector;
import org.elasticsearch.search.facet.terms.index.IndexNameFacetCollector;
import org.elasticsearch.search.facet.terms.ints.TermsIntFacetCollector;
import org.elasticsearch.search.facet.terms.ints.TermsIntOrdinalsFacetCollector;
import org.elasticsearch.search.facet.terms.ip.TermsIpFacetCollector;
import org.elasticsearch.search.facet.terms.ip.TermsIpOrdinalsFacetCollector;
import org.elasticsearch.search.facet.terms.longs.TermsLongFacetCollector;
import org.elasticsearch.search.facet.terms.longs.TermsLongOrdinalsFacetCollector;
import org.elasticsearch.search.facet.terms.shorts.TermsShortFacetCollector;
import org.elasticsearch.search.facet.terms.shorts.TermsShortOrdinalsFacetCollector;
import org.elasticsearch.search.facet.terms.strings.FieldsTermsStringFacetCollector;
import org.elasticsearch.search.facet.terms.strings.ScriptTermsStringFieldFacetCollector;
import org.elasticsearch.search.facet.terms.strings.TermsStringFacetCollector;
import org.elasticsearch.search.facet.terms.strings.TermsStringOrdinalsFacetCollector;
import org.elasticsearch.search.internal.SearchContext;
import java.io.IOException;
import java.util.List;
import java.util.Map;
import java.util.regex.Pattern;
/**
*
*/
public class TermsFacetProcessor extends AbstractComponent implements FacetProcessor {
@Inject
public TermsFacetProcessor(Settings settings) {
super(settings);
InternalTermsFacet.registerStreams();
}
@Override
public String[] types() {
return new String[]{TermsFacet.TYPE};
}
@Override
public FacetCollector parse(String facetName, XContentParser parser, SearchContext context) throws IOException {
String field = null;
int size = 10;
String[] fieldsNames = null;
ImmutableSet<String> excluded = ImmutableSet.of();
String regex = null;
String regexFlags = null;
TermsFacet.ComparatorType comparatorType = TermsFacet.ComparatorType.COUNT;
String scriptLang = null;
String script = null;
Map<String, Object> params = null;
boolean allTerms = false;
String executionHint = null;
String currentFieldName = null;
XContentParser.Token token;
while ((token = parser.nextToken()) != XContentParser.Token.END_OBJECT) {
if (token == XContentParser.Token.FIELD_NAME) {
currentFieldName = parser.currentName();
} else if (token == XContentParser.Token.START_OBJECT) {
if ("params".equals(currentFieldName)) {
params = parser.map();
}
} else if (token == XContentParser.Token.START_ARRAY) {
if ("exclude".equals(currentFieldName)) {
ImmutableSet.Builder<String> builder = ImmutableSet.builder();
while ((token = parser.nextToken()) != XContentParser.Token.END_ARRAY) {
builder.add(parser.text());
}
excluded = builder.build();
} else if ("fields".equals(currentFieldName)) {
List<String> fields = Lists.newArrayListWithCapacity(4);
while ((token = parser.nextToken()) != XContentParser.Token.END_ARRAY) {
fields.add(parser.text());
}
fieldsNames = fields.toArray(new String[fields.size()]);
}
} else if (token.isValue()) {
if ("field".equals(currentFieldName)) {
field = parser.text();
} else if ("script_field".equals(currentFieldName)) {
script = parser.text();
} else if ("size".equals(currentFieldName)) {
size = parser.intValue();
} else if ("all_terms".equals(currentFieldName) || "allTerms".equals(currentFieldName)) {
allTerms = parser.booleanValue();
} else if ("regex".equals(currentFieldName)) {
regex = parser.text();
} else if ("regex_flags".equals(currentFieldName) || "regexFlags".equals(currentFieldName)) {
regexFlags = parser.text();
} else if ("order".equals(currentFieldName) || "comparator".equals(currentFieldName)) {
comparatorType = TermsFacet.ComparatorType.fromString(parser.text());
} else if ("script".equals(currentFieldName)) {
script = parser.text();
} else if ("lang".equals(currentFieldName)) {
scriptLang = parser.text();
} else if ("execution_hint".equals(currentFieldName) || "executionHint".equals(currentFieldName)) {
executionHint = parser.textOrNull();
}
}
}
if ("_index".equals(field)) {
return new IndexNameFacetCollector(facetName, context.shardTarget().index(), comparatorType, size);
}
Pattern pattern = null;
if (regex != null) {
pattern = Regex.compile(regex, regexFlags);
}
if (fieldsNames != null) {
return new FieldsTermsStringFacetCollector(facetName, fieldsNames, size, comparatorType, allTerms, context, excluded, pattern, scriptLang, script, params);
}
if (field == null && fieldsNames == null && script != null) {
return new ScriptTermsStringFieldFacetCollector(facetName, size, comparatorType, context, excluded, pattern, scriptLang, script, params);
}
FieldMapper fieldMapper = context.smartNameFieldMapper(field);
if (fieldMapper != null) {
if (fieldMapper instanceof IpFieldMapper) {
if (script != null || "map".equals(executionHint)) {
return new TermsIpFacetCollector(facetName, field, size, comparatorType, allTerms, context, scriptLang, script, params);
} else {
return new TermsIpOrdinalsFacetCollector(facetName, field, size, comparatorType, allTerms, context, null);
}
} else if (fieldMapper.fieldDataType() == FieldDataType.DefaultTypes.LONG) {
if (script != null || "map".equals(executionHint)) {
return new TermsLongFacetCollector(facetName, field, size, comparatorType, allTerms, context, excluded, scriptLang, script, params);
} else {
return new TermsLongOrdinalsFacetCollector(facetName, field, size, comparatorType, allTerms, context, excluded);
}
} else if (fieldMapper.fieldDataType() == FieldDataType.DefaultTypes.DOUBLE) {
if (script != null) {
return new TermsDoubleFacetCollector(facetName, field, size, comparatorType, allTerms, context, excluded, scriptLang, script, params);
} else {
return new TermsDoubleOrdinalsFacetCollector(facetName, field, size, comparatorType, allTerms, context, excluded);
}
} else if (fieldMapper.fieldDataType() == FieldDataType.DefaultTypes.INT) {
if (script != null || "map".equals(executionHint)) {
return new TermsIntFacetCollector(facetName, field, size, comparatorType, allTerms, context, excluded, scriptLang, script, params);
} else {
return new TermsIntOrdinalsFacetCollector(facetName, field, size, comparatorType, allTerms, context, excluded);
}
} else if (fieldMapper.fieldDataType() == FieldDataType.DefaultTypes.FLOAT) {
if (script != null || "map".equals(executionHint)) {
return new TermsFloatFacetCollector(facetName, field, size, comparatorType, allTerms, context, excluded, scriptLang, script, params);
} else {
return new TermsFloatOrdinalsFacetCollector(facetName, field, size, comparatorType, allTerms, context, excluded);
}
} else if (fieldMapper.fieldDataType() == FieldDataType.DefaultTypes.SHORT) {
if (script != null || "map".equals(executionHint)) {
return new TermsShortFacetCollector(facetName, field, size, comparatorType, allTerms, context, excluded, scriptLang, script, params);
} else {
return new TermsShortOrdinalsFacetCollector(facetName, field, size, comparatorType, allTerms, context, excluded);
}
} else if (fieldMapper.fieldDataType() == FieldDataType.DefaultTypes.BYTE) {
if (script != null || "map".equals(executionHint)) {
return new TermsByteFacetCollector(facetName, field, size, comparatorType, allTerms, context, excluded, scriptLang, script, params);
} else {
return new TermsByteOrdinalsFacetCollector(facetName, field, size, comparatorType, allTerms, context, excluded);
}
} else if (fieldMapper.fieldDataType() == FieldDataType.DefaultTypes.STRING) {
if (script == null && !"map".equals(executionHint)) {
return new TermsStringOrdinalsFacetCollector(facetName, field, size, comparatorType, allTerms, context, excluded, pattern);
}
}
}
return new TermsStringFacetCollector(facetName, field, size, comparatorType, allTerms, context, excluded, pattern, scriptLang, script, params);
}
@Override
public Facet reduce(String name, List<Facet> facets) {
InternalTermsFacet first = (InternalTermsFacet) facets.get(0);
return first.reduce(name, facets);
}
}