esql
Git地址
https://github.com/unimassystem/esql5 


 

create table my_index.my_table (

     id keyword,

     name text,

     age long,

     birthday date

);



select * from my_index.my_type;



select count(*) from my_index.my_table group by age;

#Create table



字段参数,ES中分词规则、索引类型、字段格式等高级参数的支持



create table my_table (

	name text (analyzer = ik_max_word),

	dd text (index=no),

	age long (include_in_all=false)

);





对象、嵌套字段支持 as



create table my_index (

	id long,

	name text,

     obj object as (

         first_name text,

         second_name text (analyzer=pinyin)

     )

);





create table my_index (

	id long,

	name text,

   obj nested as (

         first_name text,

         second_name text (analyzer=pinyin)

   )

);





ES索引高级参数支持 with option



create table my_index (

	id long,

	name text

) with option (

	index.number_of_shards=10,

   index.number_of_replicas = 1

);

#Insert/Bulk



单条数据插入

insert into my_index.index (name,age) values ('zhangsan',24);



多条插入

bulk into my_index.index (name,age) values ('zhangsan',24),('lisi',24);





对象数据插入,list,{}Map



insert into my_index.index (ds) values (['zhejiang','hangzhou']);

		

insert into my_index.index (dd) values ({address='zhejiang',postCode='330010'});

#select/Aggregations



select * from my_table.my_index where name like 'john *' and age between 20 and 30 and (hotel = 'hanting' or flight = 'MH4510');



地理位置中心点查询

select * from hz_point where geo_distance({distance='1km',location='30.306378,120.247427'});



地理坐标区域查询

select * from hz_point where geo_bounding_box({location={top_left='31.306378,119.247427',bottom_right='29.285797,122.172329'}});



pipeline统计 move_avg

select count(*) as total, moving_avg({buckets_path=total}) from my_index group by date_histogram({field=timestamp,interval='1h'});

Getting Started



环境要求python >= 2.7



export PYTHONHOME=(%python_path)

export PATH=$PYTHONHOME/bin:$PATH





安装第三方依赖包

pip install -r esql5.egg-info/requires.txt

或python setup.py install



运行esql5服务 

(standalone):

cd esql5

python -m App.app



(with uwsgi)

cd esql5

uwsgi --ini conf/uwsgi.ini





shell终端:

python -m elsh.Command

问题发生背景：

1.本来我是使用logstash的默认配置向ES导入日志的。然后很嗨皮，发现一切OK，后来我开始对日志进行聚合统计，发现terms聚合时的key很奇怪，后来查询这奇怪的key,发现这些关键字都是源字符串的一段,而且全部复现场景都是出现"xxxx-xxxxxx"时就会截断，感觉像是分词器搞的鬼。所以想自己定制mapping。下面是原来的logstash配置

output{

elasticsearch{

action => "index"

hosts => ["xxxxxx:9200"]

index => "xxxxx"

document_type => "haha"

}

}

说干就干：

开始四处查阅文档，发现可以定制mapping，很开心。

output{

elasticsearch{

action => "index"

hosts => ["xxx"]

index => "logstashlog"

template => "xx/http-logstash.json"

template_name => "http-log-logstash"

template_overwrite => true

}

stdout{

codec => rubydebug

}

}没有什么一帆风顺：
问题1：
但是我发现我已经上传了自定义的template，但是就是不能生效。
这时知道了，这个要设置order才能覆盖，默认的order是0，必须更大才行，参考
http://elasticsearch.cn/article/21
问题2：
我看到自己上传的template的order已经是1了，怎么还是不生效呢？
原来自己的索引名称不匹配自己的template的名称，所以不能使用，就又用了默认的template。
改成下面后OK，终于生效了。（注意index名称变化）output{

elasticsearch{

action => "index"

hosts => ["xxx"]

index => "http-log-logstash"

document_type => "haha"

template => "xxx/http-logstash.json"

template_name => "http-log-logstash"

template_overwrite => true

}

stdout{

codec => rubydebug

}

}问题3：
发现导入失败，原来自己的时间字符串不能用默认的date的format匹配，
如2017-04-11 00:07:25   不能用 { "type" : "date"} 的默认format匹配，
改成："format": "yyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"}, 
这样就能解析了。
一切OK，谢谢社区，谢谢Google(你是我见过的除了书籍和老师之后最提升生产力的工具)

附上我的模板

{ 

    "template" : "qmpsearchlog", 

    "order":1,

    "settings" : { "index.refresh_interval" : "60s" }, 

    "mappings" : { 

        "_default_" : { 

            "_all" : { "enabled" : false }, 

            "dynamic_templates" : [{ 

              "message_field" : { 

                "match" : "message", 

                "match_mapping_type" : "string", 

                "mapping" : { "type" : "string", "index" : "not_analyzed" } 

              } 

            }, { 

              "string_fields" : { 

                "match" : "*", 

                "match_mapping_type" : "string", 

                "mapping" : { "type" : "string", "index" : "not_analyzed" } 

              } 

            }], 

            "properties" : { 

                "@timestamp" : { "type" : "date"}, 

                "@version" : { "type" : "integer", "index" : "not_analyzed" }, 

                "path" : { "type" : "string", "index" : "not_analyzed" }, 

				"host" : { "type" : "string", "index" : "not_analyzed" },

                "record_time":{"type":"date","format": "yyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"}, 

                "method":{"type":"string","index" : "not_analyzed"},

                "unionid":{"type":"string","index" : "not_analyzed"},

                "user_name":{"type":"string","index" : "not_analyzed"},

                "query":{"type":"string","index" : "not_analyzed"},

                "ip":{ "type" : "ip"}, 

                "webbrower":{"type":"string","index" : "not_analyzed"},

                "os":{"type":"string","index" : "not_analyzed"},

                "device":{"type":"string","index" : "not_analyzed"},

                "ptype":{"type":"string","index" : "not_analyzed"},

                "serarch_time":{"type":"date","format": "yyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"},

                "have_ok":{"type":"string","index" : "not_analyzed"},

                "legal":{"type":"string","index" : "not_analyzed"}

            } 

        } 

    } 

}