elasticsearch__3__java操作之Facets 数据分组统计处理
elasticsearch 分布式搜索系列专栏：http://blog.csdn.net/xiaohulunb/article/category/2399789
内容涉及代码GitHub地址: 点击打开链接
官方API：http://www.elasticsearch.org/guide/en/elasticsearch/client/java-api/current/java-facets.html
package com.framework_technology.elasticsearch;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.common.unit.DistanceUnit;
import org.elasticsearch.index.query.FilterBuilders;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.facet.FacetBuilder;
import org.elasticsearch.search.facet.FacetBuilders;
import org.elasticsearch.search.facet.Facets;
import org.elasticsearch.search.facet.datehistogram.DateHistogramFacet;
import org.elasticsearch.search.facet.datehistogram.DateHistogramFacetBuilder;
import org.elasticsearch.search.facet.filter.FilterFacet;
import org.elasticsearch.search.facet.filter.FilterFacetBuilder;
import org.elasticsearch.search.facet.geodistance.GeoDistanceFacet;
import org.elasticsearch.search.facet.geodistance.GeoDistanceFacetBuilder;
import org.elasticsearch.search.facet.histogram.HistogramFacet;
import org.elasticsearch.search.facet.histogram.HistogramFacetBuilder;
import org.elasticsearch.search.facet.query.QueryFacet;
import org.elasticsearch.search.facet.query.QueryFacetBuilder;
import org.elasticsearch.search.facet.range.RangeFacet;
import org.elasticsearch.search.facet.range.RangeFacetBuilder;
import org.elasticsearch.search.facet.statistical.StatisticalFacet;
import org.elasticsearch.search.facet.statistical.StatisticalFacetBuilder;
import org.elasticsearch.search.facet.terms.TermsFacet;
import org.elasticsearch.search.facet.terms.TermsFacetBuilder;
import org.elasticsearch.search.facet.termsstats.TermsStatsFacet;
import org.elasticsearch.search.facet.termsstats.TermsStatsFacetBuilder;
import java.util.Map;
import java.util.concurrent.TimeUnit;
/**
* Created by lw on 14-7-15.
* <p>
* 搜索 Facets分组统计
* <p>
* <a>http://www.elasticsearch.org/guide/en/elasticsearch/client/java-api/current/java-facets.html</a>
* http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-facets.html
*/
public class Es_Facets {
/**
* termsFacet
* 字段分组-Count 出现次数统计
*/
private static void termsFacet() {
TermsFacetBuilder termsFacetBuilder = FacetBuilders.termsFacet("TermsFacetBuilder")
.field("name")
.size(Integer.MAX_VALUE);//取得 name分组后COUNT值，显示size值
TermsFacet termsFacet = (TermsFacet) searchByQuery_Facets(termsFacetBuilder).get("TermsFacetBuilder");
System.out.println("termsFacet.getTotalCount():" + termsFacet.getTotalCount());// Total terms doc count
System.out.println("termsFacet.getOtherCount():" + termsFacet.getOtherCount());// Not shown terms doc count
System.out.println("termsFacet.getMissingCount():" + termsFacet.getMissingCount());// Without term doc count
for (TermsFacet.Entry entry : termsFacet) {
// Term -》Doc count
System.out.println("key :" + entry.getTerm() + "\t value:" + entry.getCount());
}
}
/**
* termsStatsFacet
* <p>
* 统计 key 下面的 value 的值 （Max/Min,Count）
* 以 key 分组
* 对 value 求一些函数
*/
private static void termsStatsFacet() {
TermsStatsFacetBuilder termsStatsFacetBuilder = FacetBuilders.termsStatsFacet("TermsStatsFacetBuilder")
.keyField("")
.valueField("");
TermsStatsFacet entries = (TermsStatsFacet) searchByQuery_Facets(termsStatsFacetBuilder).get("TermsStatsFacetBuilder");
System.out.println("Without term doc count -> " + entries.getMissingCount());
// For each entry
for (TermsStatsFacet.Entry entry : entries) {
entry.getTerm(); // Term
entry.getCount(); // Doc count
entry.getMin(); // Min value
entry.getMax(); // Max value
entry.getMean(); // Mean
entry.getTotal(); // Sum of values
System.out.println(entry);
}
}
/**
* rangeFacet
* 分组范围性统计
*/
private static void rangeFacet() {
/**
* 20-30
* 10-∞
* -∞-20
* 三个范围做统计
*/
RangeFacetBuilder rangeFacetBuilder = FacetBuilders.rangeFacet("RangeFacetBuilder")
.field("age")
.addRange(20, 30)
.addUnboundedFrom(10)
.addUnboundedTo(20);
RangeFacet rangeFacet = (RangeFacet) searchByQuery_Facets(rangeFacetBuilder).get("RangeFacetBuilder");
for (RangeFacet.Entry entry : rangeFacet) {
// sr is here your SearchResponse object
entry.getFrom(); // Range from requested
entry.getTo(); // Range to requested
entry.getCount(); // Doc count
entry.getMin(); // Min value
entry.getMax(); // Max value
entry.getMean(); // Mean
entry.getTotal(); // Sum of values
System.out.println(entry.toString());
}
}
/**
* histogramFacet
* 直方图统计- 按照时间间隔
*/
private static void histogramFacet() {
HistogramFacetBuilder histogramFacetBuilder = FacetBuilders.histogramFacet("HistogramFacetBuilder")
.field("birthday") //生日分组统计
.interval(1, TimeUnit.MINUTES); //按分钟数分组
HistogramFacet histogramFacet = (HistogramFacet) searchByQuery_Facets(histogramFacetBuilder).get("HistogramFacetBuilder");
// For each entry -Key (X-Axis) -Doc count (Y-Axis)
for (HistogramFacet.Entry entry : histogramFacet) {
System.out.println("entry.getKey()->" + entry.getKey() + "\t entry.getCount()->" + entry.getCount());
}
}
/**
* dateHistogramFacet
* 数据直方图统计- 按照时间间隔
*/
private static void dateHistogramFacet() {
DateHistogramFacetBuilder dateHistogramFacetBuilder = FacetBuilders.dateHistogramFacet("DateHistogramFacetBuilder")
.field("birthday")// Your date field
.interval("minute");// You can also use "quarter", "month", "week", "day",
// "hour" and "minute" or notation like "1.5h" or "2w"
DateHistogramFacet histogramFacet
= (DateHistogramFacet) searchByQuery_Facets(dateHistogramFacetBuilder).get("DateHistogramFacetBuilder");
for (DateHistogramFacet.Entry entry : histogramFacet) {
entry.getTime(); // Date in ms since epoch (X-Axis)
entry.getCount(); // Doc count (Y-Axis)
}
}
/**
* filterFacet
* 过滤条件后统计
*/
private static void filterFacet() {
FilterFacetBuilder filterFacetBuilder = FacetBuilders.filterFacet("FilterFacetBuilder",
FilterBuilders.termFilter("name", "葫芦747娃")); // 返回命中“指定filter”的结果数。
FilterFacet filterFacet = (FilterFacet) searchByQuery_Facets(filterFacetBuilder).get("FilterFacetBuilder");
System.out.println("filterFacet.getCount()->" + filterFacet.getCount());// Number of docs that matched
}
/**
* queryFacet
* 过滤条件后统计
*/
private static void queryFacet() {
//Query 条件过滤后统计
QueryFacetBuilder queryFacetBuilder = FacetBuilders.queryFacet("QueryFacetBuilder",
QueryBuilders.matchQuery("age", 29));
QueryFacet queryFacet = (QueryFacet) searchByQuery_Facets(queryFacetBuilder).get("QueryFacetBuilder");
System.out.println("queryFacet.getCount()->" + queryFacet.getCount());// Number of docs that matched
}
/**
* statisticalFacet
* 数学统计 - StatisticalFacet需要作用在数值型字段上面，他会统计总数、总和、最值、均值等
*/
private static void statisticalFacet() {
StatisticalFacetBuilder statisticalFacetBuilder = FacetBuilders.statisticalFacet("StatisticalFacetBuilder")
.field("height");
StatisticalFacet statisticalFacet =
(StatisticalFacet) searchByQuery_Facets(statisticalFacetBuilder).get("StatisticalFacetBuilder");
statisticalFacet.getCount(); // Doc count
statisticalFacet.getMin(); // Min value
statisticalFacet.getMax(); // Max value
statisticalFacet.getMean(); // Mean
statisticalFacet.getTotal(); // Sum of values
statisticalFacet.getStdDeviation(); // Standard Deviation
statisticalFacet.getSumOfSquares(); // Sum of Squares
statisticalFacet.getVariance(); // Variance
}
/**
* geoDistanceFacet
* 数学统计 - StatisticalFacet需要作用在数值型字段上面，他会统计总数、总和、最值、均值等
*/
private static void geoDistanceFacet() {
GeoDistanceFacetBuilder geoDistanceFacetBuilder = FacetBuilders.geoDistanceFacet("GeoDistanceFacetBuilder")
.field("location") // Field containing coordinates we want to compare with
.point(40, -70) // Point from where we start (0)
.addUnboundedFrom(10) // 0 to 10 km (excluded)
.addRange(10, 20) // 10 to 20 km (excluded)
.addRange(20, 100) // 20 to 100 km (excluded)
.addUnboundedTo(100) // from 100 km to infinity (and beyond ;-) )
.unit(DistanceUnit.DEFAULT); // All distances are in kilometers. Can be MILES
GeoDistanceFacet geoDistanceFacet =
(GeoDistanceFacet) searchByQuery_Facets(geoDistanceFacetBuilder).get("GeoDistanceFacetBuilder");
// For each entry
for (GeoDistanceFacet.Entry entry : geoDistanceFacet) {
entry.getFrom(); // Distance from requested
entry.getTo(); // Distance to requested
entry.getCount(); // Doc count
entry.getMin(); // Min value
entry.getMax(); // Max value
entry.getTotal(); // Sum of values
entry.getMean(); // Mean
}
}
/**
* 搜索，Query搜索API
* Facets 查询-对搜索结果进行计算处理API
*/
private static Map searchByQuery_Facets(FacetBuilder facetBuilder) {
SearchResponse response = Es_Utils.client.prepareSearch(Es_Utils.INDEX_DEMO_01)
.setTypes(Es_Utils.INDEX_DEMO_01_MAPPING)
.setQuery(QueryBuilders.termQuery("age", 29))
//.setPostFilter(FilterBuilders.rangeFilter("age").gt(98))
.addFacet(facetBuilder)
.setSize(1000)
.execute()
.actionGet();
//Es_Utils.writeSearchResponse(response);
Facets facets = response.getFacets();
return facets.getFacets();
}
public static void main(String[] args) {
Es_Utils.startupClient();
dateHistogramFacet();
}
}