/* * 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); } }