es查询与mysql查询转换
es查询与mysql查询转换
es的简介
es作为一款搜索引擎,用作快速检索.本文不做es的过多分析,在实际使用中,可能会遇到mysql语句好实现,但是写成es的rest查询就比较困难的情况.因此列举一些常用转换,持续更新中.
所使用框架:
bboss-elasticsearch:
一款类似于mybaits,将mysql封装成以xml的方式来进行sql查询.此开源项目是将es的rest语句封装成以xml的方式进行es查询.具有很大的便利性.
github地址
使用文档
进入正题,案例如下(持续更新中):
注:自定义的属性,后面都会带着 _name,可按照实际情况替换.
=查询
mysql:
select * from table_name where name = ''名字 limit 1;
es:
GET index_name /_search
{
"size": 1,
"query":{
"match_phrase":{
"pn": #[pn]
}
}
}
between,order by,limit查询
mysql:
select * from table_name where time_name between start_name and end_name order by id_name desc limit 100;
es:
GET index_name /_search
{
"size": 100,
"sort": [
{
"time_name": {
"order": "desc"
}
}
],
"query": {
"bool": {
"filter": [
{
"bool": {
"must": [
{
"range": {
"time_name": {
"from": "start_name",
"to": "end_name"
}
}
}
]
}
}
]
}
}
}
min(),max()查询
mysql:
select min(time_name),max(time_name) from table_name;
es:
GET index_name/_search
{
"size": 0,
"aggs": {
"grades_stats": {
"stats": {
"field": "time_name"
}
}
}
}
es返回值如下,分析结果,提取出值:
"aggregations": {
"grades_stats": {
"count": 10581611,
"min": 1483228800000,
"max": 1571184000000,
"avg": 1527674316115.0793,
"sum": 16165255347820800000,
"min_as_string": "2017-01-01T00:00:00.000Z",
"max_as_string": "2019-10-16T00:00:00.000Z",
"avg_as_string": "2018-05-30T09:58:36.115Z",
"sum_as_string": "292278994-08-17T07:12:55.807Z"
}
}
in,order by,between 查询
mysql:
select * from table_name where name in ('名字1','名字2','名字3') and time_name between start and end limit 100;
es:
GET index_name/_search
{
"size": #[size],
"sort": [{
"so_date": {
"order": "desc"
}
}],
"query": {
"bool": {
"filter":[
#if(1>2)
#end
{
"bool": {
"must": [
{
"range": {
"so_date": {
"from": #[start_name],
"to": #[end_name]
}
}
}
]
}
}
#if($name && $name.size() > 0),
{
"bool":{
"must":[
{
"bool":{
"should": [
#foreach($nameTmp in $name)
#if($velocityCount > 0),#end
{
"match_phrase":{
"name":"$nameTmp"
}
}
#end
],
"minimum_should_match": 1
}
}
]
}
}
#end
]
}
}
}
and ( (a=1 and b=2) or (c=3 and d=4) )操作
对象数组查询:
class user {
private string name;
private string desc;
private string age;
}
mysql:
select * from table_name where time_name between start_name and end_name and ( (name=1 and age=2) or (name=3 andage=4) ) ;
es:
GET index_name/_search
{
"size": #[size],
"sort": [{
"so_date": {
"order": "desc"
}
}],
"query": {
"bool": {
"filter":[
#if(1>2)
#end
{
"bool": {
"must": [
{
"range": {
"so_date": {
"from": #[start_name],
"to": #[end_name]
}
}
}
]
}
}
#if(1>2)
#end
#if( $user && $user.size() > 0 )
,{
"bool":{
"should":[
#if($user && $user.size() > 0)
#foreach($userTemp in $user)
#if($velocityCount > 0),#end
{
"bool":{
"must":[
{
"match_phrase":{
"name":"$userTemp.name"
}
}
#if($userTemp.productDetail),
{
"match_phrase":{
"age":"$userTemp.age"
}
}
#end
]
}
}
#end
#end
]
}
}
#end
]
}
}
}
like查询,并对查询结果去重
mysql:
select distinct name from table_name where name like '名字%'
es:
GET index_name/_search
{
"size": 0,
"query":{
"wildcard":{
"name":{
"value": #[名字*]
}
}
},
"aggs": {
"distinct": {
"terms": {
"field": "name.keyword"
}
}
}
}
对聚合结果进行分析,取出所要的值.
去重查询
mysql:
select distinct name from table_name;
es:
GET index_name/_search
{
"size": 0,
"aggs": {
"distinct": {
"terms": {
"field": "name.keyword"
}
}
}
}
去重模糊查询,返回多个字段
mysql:
select id_name,name form table_name where name like "名字%" group by name desc ,id_name desc limit 10;
es:
GET index_name/_search
{
"size": 10,
"sort": [{
"name.keyword": {
"order": "desc"
}
}],
"query":{
"wildcard":{
"name.keyword":{
"value": #[var]
}
}
},
"aggs": {
"type":{
"terms": {
"field": "id_name.keyword",
"size": 10
},
"aggs": {
"redistinct": {
"top_hits": {
"sort": [{
"id_name.keyword": {"order": "desc"}
}],
"size": 1
}
}
}
}
}
}