Elasticsearch虽然定位为Search Engine,但是因其可以持久化数据,很多时候,我们把Elasticsearch当成Database用,但是Elasticsearch不支持SQL,就需要把SQL逻辑转换成代码实现对应的功能。

以下列举了一些常用的SQL转换成对应的Java代码。

1.按某个field group by查询count

SELECT
fieldA, COUNT(fieldA)
from table
WHERE fieldC = "hoge"
AND fieldD = "huga"
AND fieldB > 10
AND fieldB < 100
group by fieldA;

对应的java code:

SearchRequestBuilder searchReq = client.prepareSearch("sample_index");
searchReq.setTypes("sample_types");
TermsBuilder termsb = AggregationBuilders.terms("my_fieldA").field("fieldA").size(100); BoolFilterBuilder bf = FilterBuilders.boolFilter();
TermFilterBuilder tf_fieldC = FilterBuilders.termFilter("fieldC","hoge");
TermFilterBuilder tf_fieldD = FilterBuilders.termFilter("fieldD","huga");
bf.must(tf_fieldC);
bf.must(tf_fieldD); RangeFilterBuilder rangefieldBFilter = FilterBuilders.rangeFilter("fieldB")
.gt(10)
.lt(100); searchReq.setQuery(QueryBuilders.filteredQuery(QueryBuilders.matchAllQuery(),
FilterBuilders.andFilter(bf, rangefieldBFilter))).addAggregation(
termsb);
SearchResponse searchRes = searchReq.execute().actionGet(); Terms fieldATerms = searchRes.getAggregations().get("my_fieldA");
for (Terms.Bucket filedABucket : fieldATerms.getBuckets()) {
//fieldA
String fieldAValue = filedABucket.getKey(); //COUNT(fieldA)
long fieldACount = filedABucket.getDocCount();
}

2. 按某个field 和 date group by 并查询另一个filed的sum,时间统计图,时间间隔是1天。

SELECT
DATE(create_at), fieldA, SUM(fieldB)
from table
group by DATE(create_at), fieldA;

对应的java code:

SearchRequestBuilder searchReq = client.prepareSearch("sample_index");
searchReq.setTypes("sample_types");
DateHistogramBuilder dhb = AggregationBuilders.dateHistogram("my_datehistogram").field("create_at").interval(DateHistogram.Interval.days(1));
TermsBuilder termsb_fa = AggregationBuilders.terms("my_fieldA").field("fieldA").size(100);
termsb_fa.subAggregation(AggregationBuilders.sum("my_sum_fieldB").field("fieldB"));
dhb.subAggregation(termsb_fa) searchReq.setQuery(QueryBuilders.matchAllQuery()).addAggregation(dhb);
SearchResponse searchRes = searchReq.execute().actionGet(); DateHistogram dateHist = searchRes.getAggregations().get("my_datehistogram");
for (DateHistogram.Bucket dateBucket : dateHist.getBuckets()) {
//DATE(create_at)
String create_at = dateentry.getKey();
Terms fieldATerms = dateBucket.getAggregations().get("my_fieldA");
for (Terms.Bucket filedABucket : fieldATerms.getBuckets()) {
//fieldA
String fieldAValue = filedABucket.getKey(); //SUM(fieldB)
Sum sumagg = filedABucket.getAggregations().get("my_sum_fieldB");
long sumFieldB = (long)sumagg.getValues();
}
}

3. 按两个field group by并查询第三个filed的sum

SELECT
fieldA, fieldC, SUM(fieldB)
from table
group by fieldA, fieldC;

对应的java code:

SearchRequestBuilder searchReq = client.prepareSearch("sample_index");
searchReq.setTypes("sample_types"); TermsBuilder termsb_fa = AggregationBuilders.terms("my_fieldA").field("fieldA").size(100);
TermsBuilder termsb_fc = AggregationBuilders.terms("my_fieldC").field("fieldC").size(50); termsb_fc.subAggregation(AggregationBuilders.sum("my_sum_fieldB").field("fieldB"));
termsb_fa.subAggregation(termsb_fc) searchReq.setQuery(QueryBuilders.matchAllQuery()).addAggregation(termsb_fa);
SearchResponse searchRes = searchReq.execute().actionGet(); Terms fieldATerms = searchRes.getAggregations().get("my_fieldA");
for (Terms.Bucket filedABucket : fieldATerms.getBuckets()) {
//fieldA
String fieldAValue = filedABucket.getKey();
Terms fieldCTerms = filedABucket.getAggregations().get("my_fieldC");
for (Terms.Bucket filedCBucket : fieldCTerms.getBuckets()) {
//fieldC
String fieldCValue = filedCBucket.getKey(); //SUM(fieldB)
Sum sumagg = filedCBucket.getAggregations().get("my_sum_fieldB");
long sumFieldB = (long)sumagg.getValues();
}
}

4. 按某个filed group by 并查询count、sum 和 average

SELECT
fieldA, COUNT(fieldA), SUM(fieldB), AVG(fieldB)
from table
group by fieldA;

对应的java code:

SearchRequestBuilder searchReq = client.prepareSearch("sample_index");
searchReq.setTypes("sample_types"); TermsBuilder termsb = AggregationBuilders.terms("my_fieldA").field("fieldA").size(100);
termsb.subAggregation(AggregationBuilders.sum("my_sum_fieldB").field("fieldB"));
termsb.subAggregation(AggregationBuilders.avg("my_avg_fieldB").field("fieldB")); searchReq.setQuery(QueryBuilders.matchAllQuery()).addAggregation(termsb);
SearchResponse searchRes = searchReq.execute().actionGet();
Terms fieldATerms = searchRes.getAggregations().get("my_fieldA");
for (Terms.Bucket filedABucket : fieldATerms.getBuckets()) {
//fieldA
String fieldAValue = filedABucket.getKey(); //COUNT(fieldA)
long fieldACount = filedABucket.getDocCount(); //SUM(fieldB)
Sum sumagg = filedABucket.getAggregations().get("my_sum_fieldB");
long sumFieldB = (long)sumagg.getValues(); //AVG(fieldB)
Avg avgagg = filedABucket.getAggregations().get("my_avg_fieldB");
double avgFieldB = avgagg.getValues();
}

5. 按某个field group by 并按另一个filed的Sum排序,获取前10

SELECT
fieldA, SUM(fieldB)
from table
WHERE fieldC = "hoge"
group by fieldA
order by SUM(fieldB) DESC
limit 10;

对应的java code:

QueryBuilder termsc = QueryBuilders.termQuery("fieldC","hoge");
QueryBuilder queryBuilder = QueryBuilders.boolQuery().must(termsc);
TermsAggregationBuilder aggregationBuilder = AggregationBuilders.terms("my_fieldA").field("fieldA").size(10);
aggregationBuilder.subAggregation(AggregationBuilders.sum("my_sum_fieldB").field("fieldB"));
aggregationBuilder.order(Order.aggregation("my_sum_fieldB", false));
SearchResponse searchResponse = client.prepareSearch("sample_index").setQuery(queryBuilder).addAggregation(aggregationBuilder).execute().actionGet();
Terms terms = searchResponse.getAggregations().get("my_fieldA");
for (Terms.Bucket entry : terms.getBuckets()) {
String fieldAValue = entry.getKey().toString(); Sum sumagg = entry.getAggregations().get("my_sum_fieldB");
double fieldValue = sumagg.getValue();
}

代码在GitHub上:https://github.com/luxiaoxun/Code4Java

SQL to Java code for Elasticsearch的更多相关文章

  1. Java中使用elasticsearch搜索引擎实现简单查询、修改等操作-已在项目中实际应用

    以下的操作环境为:jdk:1.8:elasticsearch:5.2.0 maven架包下载坐标为: <dependency> <groupId>org.elasticsear ...

  2. A java code

    With the help of LiJun I got a piece of JAVA code. With this code, I can do below things like connec ...

  3. Elasticsearch入门系列~通过Java一系列操作Elasticsearch

    Elasticsearch索引的创建.数据的增删该查操作 上一章节已经在Linux系统上安装Elasticsearch并且可以外网访问,这节主要通过Java代码操作Elasticsearch 1.创建 ...

  4. Java语言编码规范(Java Code Conventions)

    Java语言编码规范(Java Code Conventions) 名称 Java语言编码规范(Java Code Conventions) 译者 晨光(Morning) 简介 本文档讲述了Java语 ...

  5. java code to byte code--partone--reference

    Understanding how Java code is compiled into byte code and executed on a Java Virtual Machine (JVM) ...

  6. [转]Java Code Examples for android.util.JsonReader

    [转]Java Code Examples for android.util.JsonReader The following are top voted examples for showing h ...

  7. JUnit单元测试教程(翻译自Java Code Geeks)

    JUnit单元测试教程--终极指南 JUnit单元测试教程终极指南 说明 单元测试简介 1 什么是单元测试 2 测试覆盖 3 Java中的单元测试 JUnit简介 1 使用Eclipse实现简单JUn ...

  8. Java Code Style

    近期困惑于团队成员代码风格迥异,代码质量不可控,作为一名老司机,忧患于后期服务的可维护性,多次一对一的代码Review,耗时耗力不说,效果也不明显.痛定思痛,多次反思之后得出结论:无规矩不成方圆,可靠 ...

  9. 使用Java客户端操作elasticsearch(二)

    承接上文,使用Java客户端操作elasticsearch,本文主要介绍 常见的配置 和Sniffer(集群探测) 的使用. 常见的配置 前面已介绍过,RestClientBuilder支持同时提供一 ...

随机推荐

  1. 很全的atom问题解决方案

    atom插件 http://blog.csdn.net/qq_30100043/article/details/53558381 atom社区 https://atom-china.org/

  2. java基础学习系列三

    产生随机数 例如 [a,b] Math.random*(b-a+1)+a 公式推算 [3,55]-----[0,52]+3 *53+3

  3. CXF对Interceptor拦截器的支持

    前面在Axis中介绍过Axis的Handler,这里CXF的Interceptor就和Handler的功能类似.在每个请求响应之前或响应之后,做一些事情.这里的Interceptor就和Filter. ...

  4. 基于jquery的插件开发

    最近在公司做一个项目,由于后台数据太多需要分页显示,在网上找了很多插件都没有找到合适的分页插件,所有的分页插件始终达不到自己想要的效果.由于这个项目也不是很赶,就在网上查找各种资料,自己写一个基于jq ...

  5. Java注解(1)-注解基础

    注解(Annotation)是在JAVA5中开始引入的,它为在代码中添加信息提供了一种新的方式.注解在一定程度上把元数据与源代码文件结合在一起,正如许多成熟的框架(Spring)所做的那样.那么,注解 ...

  6. Maven学习笔记二

    依赖范围 <dependency> <groupId>javax.servlet</groupId> <artifactId>servlet-api&l ...

  7. 初学MySQL基础知识笔记--01

    本人初入博客园,第一次写博客,在今后的时间里会一点点的提高自己博客的水平,以及博客的排版等. 在今天,我学习了一下MySQL数据库的基本知识,相信关于MySQL的资料网上会有很多,所以我就不在这里复制 ...

  8. Python变量赋值的秘密

    在Python中,我们令一个变量等于另外一个变量时,并不是把值传递给它,而是直接把指向的地址更改了.我们想要查看一个变量在内存中的地址,可以通过id(变量) 来查看.我们通过一个小例子来看看这个有趣的 ...

  9. c语言-第零次作业

    1.你认为大学的学习生活.同学关系.师生应该是怎样?请一个个展开描述. 我很荣幸能考进集美大学.集美大学历史悠久.师资力量雄厚.教师与学生素质高.并且集美大学的学习生活和我理想中的一样!首先老师认真负 ...

  10. C语言第六周博客作业--数据类型

    一.PTA实验作业 题目1: 7-6 掉入陷阱的数字 1. 本题PTA提交列表 2.设计思路 定义变量N,i,g=1表示位数,a表示各位数字相加的和,b=0,j,N1,c,d用于储存N do{ for ...