当前位置：首页 > news >正文

日志收集Day003

news 2025/7/4 21:13:57

1.索引模板

查看所有索引模板

GET 10.0.0.101:9200/_template

2.查看单个索引模板

GET 10.0.0.101:9200/_template/.monitoring-es

3.创建索引模板

POST 10.0.0.101:9200/_template/lxctp

{"aliases": {"DBA": {},"SRE": {},"K8S": {}},"index_patterns": ["lxc*"],"settings": {"index": {"number_of_shards": 4,"number_of_replicas": 1}},"mappings": {"properties":{"ip_addr": {"type": "ip"},"access_time": {"type": "date"},"name": {"type": "keyword"}}}
}

以上模板为所有索引lxc开头的模板，设置了分片数量为4，副本数量为1，同时做了数据映射。

2.DSL

2.1查询，主要有如下三种，相比第一种，第二种是整词匹配，只会匹配名字为张天天的，第三种，则是匹配所有

{"query":{"match":{"name":"张天天"}} 
}{"query":{"match_phrase":{"name":"张天天"}} 
}{"query":{"match_all":{}} 
}

2.2分页查询，"size":3表示每页展示三条数据， "from":9，表示跳过前面9条数据，从第10条开始展示，即第四页。

{"query":{"match":{"name":"张天天"}},"from":9"size":3 
}

2.3查看指定字段，之前查看的都是全部字段，可以用_source查看指定字段

如下，查看所有数据的price和name,字段顺序会影响显示的顺序

{"query":{"math_all":{}},"_source":["price","name"]
}

效果等同于sql的select price,name from 表名

2.4查看指定字段是否存在

{"query": {"exists" : {"field": "price"}}
}

如果price字段存在，则会显示所有结果，如果不存在，则不显示结果

2.5排序，将查出来数据，按price升序排序

{"query": {"match_all" : {}},"price":{"order": "asc"}
}

上面语句作用类似于sql的select * from 表名 order by price asc;

降序排序则是desc

2.6多条件查询1：查看作者是张天天且商品价格为24.90(所有条件都满足)

{"query": {"bool": {"must": [{"match_phrase": {"auther": "张天天"}},{"match_phrase": {"price": 24.90}}]}}
}

多条件查询2：查看作者是张天天或李飞飞且商品价格为168或198（所有条件满足指定数量，这里是两个）

{"query": {"bool": {"should": [{"match_phrase": {"auther": "李飞飞"}},{"match_phrase": {"auther": "张天天"}},{"match": {"price": 168.00}},{"match": {"price": 198.00}}],"minimum_should_match": 2}}
}

多条件查询3：查询作者不是李飞飞和张天天，商品价格为9.9或19.9，省份为内蒙古

{"query": {"bool": {"must_not": [{"match_phrase": {"auther": "于萌"}},{"match_phrase": {"auther": "高超"}}],"should": [{"match": {"price": 9.9}},{"match": {"price": 19.9}}],"minimum_should_match": 1,"must": [{"match": {"province": "内蒙古"}}]}}
}

过滤

{"query":{"bool":{"filter":{"range": {"price": {"gte": 3599,"lte": 10500}}}}}
}

聚合查询（统计最大价格，最小价格，平均价格，价格总和）

{"aggs": {"shopping_max": {"max": {"field": "price"}},"shopping_min": {"min": {"field": "price"}},"shopping_avg": {"avg": {"field": "price"}},"shopping_sum": {"sum": {"field": "price"}}},"size": 0
}

另外一个聚合查询，统计数量

{"aggs": {"shopping_group": {"terms":{"field": "group"}}},"size": 0
}

3.集群数据迁移

3.1集群内数据迁移：

POST 10.0.0.101:9200/_reindex

{"source": {"index": "shopping"},"dest": {"index": "shopping-new"}}

3.2不同集群数据迁移

es6迁移es7,es7端口9200，es6端口19200

1.所有节点修改配置文件并重启服务

vim /etc/elasticsearch/elasticsearch.yml

添加：reindex.remote.whitelist: "10.0.0.*:19200"

systemctl restart elasticsearch.service

2.迁移数据：POST http://10.0.0.101:9200/_reindex

{"source": {"index": "old","remote": {"host": "http://10.0.0.101:19200"},"query": {"bool": {"filter": {"range": {"age": {"gt": 25}}}}}},"dest": {"index": "newmessage"}
}

4.ES集群健康状态API

_cluster/health

curl http://10.0.0.103:9200/_cluster/health

curl http://10.0.0.103:9200/_cluster/health 2>/dev/null| jq

查看集群状态
curl http://10.0.0.103:9200/_cluster/health 2>/dev/null| jq .status

查看集群活跃分片百分比
curl http://10.0.0.103:9200/_cluster/health 2>/dev/null| jq .active_shards_percent_as_number

5.分片的重路由

(1)将indexa"索引的0号分片从elk102节点移动到elk101节点。
POST http://10.0.0.101:9200/_cluster/reroute
{
"commands": [
{
"move": {
"index": "indexa",
"shard": 0,
"from_node": "elk101.lxcedu.com",
"to_node": "elk102.lxcedu.com"
}
}
]
}

(2)取消副本分片的分配，其副本会重新初始化分配。
POST http://10.0.0.101:9200/_cluster/reroute

{

"commands": [

{

"cancel": {

"index": "indexaa",

"shard": 0,

"node": "elk103.lxcedu.com"

}

]

}

查看全文