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@@ -6,12 +6,19 @@ go-stash是一个高效的从Kafka获取,根据配置的规则进行处理, |
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go-stash有大概logstash 5倍的吞吐性能,并且部署简单,一个可执行文件即可。
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![go-stash](doc/flow.png)
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![go-stash](https://pro-public.xiaoheiban.cn/icon/84cc2f235035d7f1da6df512d4ba97b7.png)
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## Quick Start
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### 安装
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```shell
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cd stash && go build stash.go
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```
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### Quick Start
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```shell
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gostash -f etc/config.yaml
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./stash -f etc/config.yaml
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```
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config.yaml示例如下:
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@@ -20,49 +27,189 @@ config.yaml示例如下: |
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Clusters:
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- Input:
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Kafka:
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Name: gostash
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Name: go-stash
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Log:
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Mode: file
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Brokers:
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- "172.16.186.16:19092"
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- "172.16.186.17:19092"
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Topics:
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- k8slog
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Group: pro
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Consumers: 16
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- "172.16.48.41:9092"
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- "172.16.48.42:9092"
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- "172.16.48.43:9092"
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Topic: ngapplog
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Group: stash
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Conns: 3
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Consumers: 10
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Processors: 60
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MinBytes: 1048576
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MaxBytes: 10485760
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Offset: first
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Filters:
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- Action: drop
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Conditions:
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- Key: k8s_container_name
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Value: "-rpc"
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Type: contains
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- Key: level
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Value: info
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Type: match
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Op: and
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- Action: remove_field
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Fields:
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- message
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- _source
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- _type
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- _score
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- _id
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- "@version"
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- topic
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- index
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- beat
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- docker_container
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- Action: transfer
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Field: message
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Target: data
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- Action: drop
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Conditions:
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- Key: status
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Value: 503
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Type: contains
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- Key: type
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Value: "app"
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Type: match
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Op: and
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- Action: remove_field
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Fields:
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- message
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- source
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- beat
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- fields
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- input_type
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- offset
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- "@version"
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- _score
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- _type
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- clientip
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- http_host
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- request_time
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Output:
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ElasticSearch:
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Hosts:
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- "172.16.141.4:9200"
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- "172.16.141.5:9200"
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# {.event}是json输入的event属性值
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# {{yyyy-MM-dd}}表示日期,比如2020-09-09
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Index: {.event}-{{yyyy-MM-dd}}
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- "http://172.16.188.73:9200"
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- "http://172.16.188.74:9200"
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- "http://172.16.188.75:9200"
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Index: "go-stash-{{yyyy.MM.dd}}"
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MaxChunkBytes: 5242880
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GracePeriod: 10s
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Compress: false
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TimeZone: UTC
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```
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## 详细说明
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### input
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```shell
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Conns: 3
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Consumers: 10
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Processors: 60
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MinBytes: 1048576
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MaxBytes: 10485760
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Offset: first
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```
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#### Conns
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链接kafka的链接数,链接数依据cpu的核数,一般<= CPU的核数;
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#### Consumers
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每个连接数打开的线程数,计算规则为Conns * Consumers,不建议超过分片总数,比如topic分片为30,Conns *Consumers <= 30
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#### Processors
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处理数据的线程数量,依据CPU的核数,可以适当增加,建议配置:Conns * Consumers * 2 或 Conns * Consumers * 3,例如:60 或 90
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#### MinBytes MaxBytes
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每次从kafka获取数据块的区间大小,默认为1M~10M,网络和IO较好的情况下,可以适当调高
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#### Offset
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可选last和false,默认为last,表示从头从kafka开始读取数据
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### Filters
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```shell
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- Action: drop
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Conditions:
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- Key: k8s_container_name
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Value: "-rpc"
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Type: contains
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- Key: level
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Value: info
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Type: match
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Op: and
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- Action: remove_field
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Fields:
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- message
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- _source
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- _type
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- _score
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- _id
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- "@version"
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- topic
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- index
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- beat
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- docker_container
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- offset
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- prospector
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- source
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- stream
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- Action: transfer
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Field: message
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Target: data
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```
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#### - Action: drop
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- 删除标识:满足此条件的数据,在处理时将被移除,不进入es
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- 按照删除条件,指定key字段及Value的值,Type字段可选contains(包含)或match(匹配)
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- 拼接条件Op: and,也可写or
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#### - Action: remove_field
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移除字段标识:需要移除的字段,在下面列出即可
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#### - Action: transfer
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转移字段标识:例如可以将message字段,重新定义为data字段
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### Output
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#### Index
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索引名称,indexname-{{yyyy.MM.dd}}表示年.月.日,也可以用{{yyyy-MM-dd}},格式自己定义
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#### MaxChunkBytes
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每次往ES提交的bulk大小,默认是5M,可依据ES的io情况,适当的调整
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#### GracePeriod
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默认为10s,在程序关闭后,在10s内用于处理余下的消费和数据,优雅退出
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#### Compress
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数据压缩,压缩会减少传输的数据量,但会增加一定的处理性能,可选值true/false,默认为false
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#### TimeZone
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默认值为UTC,世界标准时间
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## ES性能写入测试
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### 测试环境
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- stash服务器:3台 4核 8G
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- es服务器: 15台 16核 64G
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### 关键配置
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```shell
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- Input:
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Conns: 3
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Consumers: 10
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Processors: 60
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MinBytes: 1048576
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MaxBytes: 10485760
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Filters:
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- Action: remove_field
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Fields:
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- message
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- source
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- beat
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- fields
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- input_type
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- offset
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- request_time
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Output:
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Index: "nginx_pro-{{yyyy.MM.d}}"
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Compress: false
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MaxChunkBytes: 5242880
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TimeZone: UTC
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```
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### 写入速度平均在15W/S以上
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![go-stash](https://pro-public.xiaoheiban.cn/icon/ee207a1cb094c0b3dcaa91ae75b118b8.png)
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### 微信交流群
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加群之前有劳给一个star,一个小小的star是作者们回答问题的动力。
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...
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...
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@@ -73,4 +220,6 @@ Clusters: |
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如果您发现bug请及时提issue,我们会尽快确认并修改。
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添加我的微信:kevwan,请注明go-stash,我拉进go-stash社区群🤝 |
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\ No newline at end of file |
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添加我的微信:kevwan,请注明go-stash,我拉进go-stash社区群🤝
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### --END |
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