数据库使用相关

1.es ES因搜索而生，主要工作就是处理查询，返回结果

https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html    es 官网学习文档

开发要表结构文件。看层级和type 下面会使用

mappings 中的数据都支持查询关键字。

http：//{ip}:{esport}/{index}

POST http://elasticsearch-explorer.test-b-okex.svc.test.local:9200/okb_block/_delete_by_query

{ "query": {"match_all": {} } }

POSThttp://elasticsearch-explorer.test-b-okex.svc.test.local:9200/okb_block_index/_delete_by_query

{ "query": {"match_all": {} } }

POSThttp://elasticsearch-explorer.test-b-okex.svc.test.local:9200/okb_transaction/_delete_by_query

{ "query": {"match_all": {} } }

 GEThttp://elasticsearch-explorer.test-b-okex.svc.test.local:9200/okb_block_index/_search

GEThttp://elasticsearch-explorer.test-b-okex.svc.test.local:9200/okb_block/_search

GEThttp://elasticsearch-explorer.test-b-okex.svc.test.local:9200/okb_transaction/_search

查询

http://elasticsearch-explorer.test-a-oklink.svc.test.local:9200/okb_block_index/block_index/{block}

http://elasticsearch-explorer.test-a-oklink.svc.test.local:9200/okb_block/block/{has}

http://elasticsearch-explorer.test-a-oklink.svc.test.local:9200/okb_transaction/transaction/{has}

查询某个区块内的交易，和从。。到。。区块的 产生的交易

http://elasticsearch-explorer.test-a-oklink.svc.test.local:9200/okb_block/block/_search

根据表结构查询

ES提供了基于JSON的query DSL查询语言，有两种类型子句：

1. Leaf query。查找特定字段的特定值。如match、term、range查询。

2. Compound query。wrap other leaf or compound queries。以一种含有逻辑（如bool、dis_max查询）的方式组合多个查询，或改变查询行为(如constant_score查询)

原文：https://blog.csdn.net/feifantiyan/article/details/53995772

posthttp://elasticsearch-explorer.test-a-oklink.svc.test.local:9200/okb_transaction/_search

{"query":{"match":{"block_height": "4780"}}}

{"query":{"range": {"block_height":{"gte": 10,"lte": 20000}}}}

{"query":{"match":{"transaction_data.type": "cosmos-sdk/MsgSubmitProposal"}}}

{"query":{"terms":{"transaction_data.type":["cosmos-sdk/MsgSubmitProposal","okdex/MsgDexListSubmitProposal"]}}}  

{"query":{"bool":{"filter":{"terms":{"transaction_data.type":["cosmos-sdk/MsgSubmitProposal","okdex/MsgDexListSubmitProposal"]}},"must_not":{"match":{"status":"SUCCESS"}}}}}

{"query":{"bool":{"filter":{"terms":{"transaction_data.type":["cosmos-sdk/MsgSubmitProposal","okdex/MsgDexListSubmitProposal"]}},"must":{"match":{"status":"SUCCESS"}}}}}

查询1000条数据，按照块高降序排列

{"query":{"bool":{}},"sort":[{"block_height":{"order":"desc"}}],"size":10000}

term 是精确匹配，上面两个交易类型是or 关系。只要精确匹配一个就会被选出

{"query":{"bool":{"filter":{"match":{"transaction_data.type":"cosmos-sdk/MsgSubmitProposal"}},"must_not":{"match":{"status":"SUCCESS"}}}}}

filter 选中符合条件的   mustnot  不符合后面条件的。  match/range/term 都可做后面条件

https://www.jianshu.com/p/d5583dff4157

因为match进行搜索的时候，会先进行分词拆分，拆完后，再来匹配，上面两个内容，他们title的词条为： love china hubei ，我们搜索的为love China 我们进行分词处理得到为love china ，并且属于或的关系，只要任何一个词条在里面就能匹配到。会按照空格拆分。

match_phrase 称为短语搜索，要求所有的分词必须同时出现在文档中，同时位置必须紧邻一致。

先看看term的定义，term是代表完全匹配，也就是精确查询，搜索前不会再对搜索词进行分词拆解。但是我只想精确匹配 love China这个，按照下面的写法不能查出来。term属于精确匹配，只能查单个词。我想用term匹配多个词怎么做？

可以使用terms来，terms里的[ ] 多个是或者的关系，只要满足其中一个词就可以。想要通知满足两个词的话，就得使用bool的must来做

{"query":{"bool":{"must":[{"terms":{"transaction_data.type":["cosmos-sdk/MsgSubmitProposal","okdex/MsgDexListSubmitProposal"]}},{"match":{"status":"SUCCESS"}}]}}}

es查询默认返回的是所有数据，使用_source可以指定返回指定字段的数据

{"query":{"range": {"last_transaction_time": {"gt":1565658000000 ,"lte": 1565661600000 }}},"_source": ["account_number", "balance"]}

前面查询条件，返回符合条件的所有数据。添加_source 指定只返回balance数据，如下

{

        "_index": "ltc_address_1",

        "_type": "address",

        "_id": "LeQTsnAm3e5WHQrApx3wBr8JpKUgdyRwfh",

        "_score": 1,

        "_source": {

          "balance": 0.7635146        }

统计求和。查找后按照fee 求和 sum_count这个位置可以随意自定义。

{"query":{"bool":{"filter":[{"range":{"blocktime":{"gt":1565776767,"lt":1565863167}}}]}},"size":0,"aggs":{"sum_count":{"sum":{"field":"fee"}}}}

结果返回

"hits": {

    "total": 6869,

    "max_score": 0,

    "hits": []

  },

  "aggregations": {

    "sum_count": {

      "value": 468148092    }

  }

}

Elasticsearch--Aggregation详细总结（聚合统计）

https://blog.csdn.net/donghaixiaolongwang/article/details/58597058

{"query":{"bool":{"filter":[{"range":{"blocktime":{"gt":1566976950,"lt":1567063350}}}]}},"size":0,"aggs":{"sum_transfer":{"sum":{"field":"real_transfer_value_sat"}},"sum_fee":{"sum":{"field":"fee"}}}}

{"query":{"bool":{}},"sort":[{"height":{"order":"desc"}}],"size":1008,"aggs":{"max_blocktime":{"max":{"field":"blocktime"}},"min_blocktime":{"min":{"field":"blocktime"}}}}

计数和去重统计

{"query":{"bool":{"filter":[{"range":{"blocktime":{"gt":${yes},"lte":${now}}}}]}},"size":0,"aggs":{"block_count":{"value_count":{"field":"height"}},"minpool_count": {"cardinality": { "field": "guessed_miner"}}}}

去重统计默认显示前十，添加size 如下显示前20个

{"query":{"bool":{"filter":[{"range":{"blocktime":{"gt":1567494812,"lte":1567581212}}}]}},"size":0,"aggs":{"block_count":{"value_count":{"field":"height"}},"minpool_count":{"cardinality":{"field":"guessed_miner"}},"group":{"terms":{"field":"guessed_miner","size":20}}}}

设置权重boost

{"query":{"bool":{"must":[{"range":{"real_transfer_value":{"from":500,"to":null,"include_lower":true,"include_upper":true,"boost":1.0}}},{"range":{"blocktime":{"from":1563707220,"to":1563793620,"include_lower":true,"include_upper":true,"boost":1.0}}}],"adjust_pure_negative":true,"boost":1.0}}}

2.redis

桌面图形化工具 Another Redis DeskTop Manager

redis-explorer.test-a-oklink.svc.test.local  6379 

删除数据

cd /usr/local/redis-5.0.5/src/

./redis-cli -hredis-explorer.test-a-oklink.svc.test.local  keys "*"| xargs ./redis-cli -hredis-explorer.test-a-oklink.svc.test.local del

redis-cli -hredis-explorer.test-b-okex.svc.test.local keys "*"| xargs redis-cli -hredis-explorer.test-b-okex.svc.test.local del