hiroyukim / go-chatora

It is KVS which uses RDBMS as backend. By using RDBMS, data can be easily perpetuated. Also, I have a cache layer to improve performance.

go-chatora

It is KVS which uses RDBMS as backend. By using RDBMS, data can be easily perpetuated. Also, I have a cache layer to improve performance.

It is structured to transparently retrieve data from backend's rdbms. It is suitable for cases where management is troublesome when it is desired to perpetuate data with KVS or the like. Access by HTTP and get data with GET. With the type parameter, it returns data in the form plain, json, messagepack. There is an Onmemory arc and a Storage leveldb for caching structures.

Docker

docker run -it hiroyukim/go-chatora

• https://hub.docker.com/r/hiroyukim/go-chatora/

install

go get -u github.com/hiroyukim/go-chatora

build

cd $GOPATH/src/github.com/hiroyukim/go-chatora
go build

config

• config.yaml
  • cache_type
    • leveldb
    • arc
  • driver_name
    • sqlite3
    • mysql
  • data_source_name
    • sqlite3: `/path/to/your.db'
    • mysql: [username[:password]@][protocol[(address)]]/dbname[?param1=value1&...&paramN=valueN]
  • table_name
    • string
  • lru_max_size
    • int
  • port
    • int
  • debug_mode
    • bool

---
driver_name: sqlite3
data_source_name: ./go-chatora.db
debug_mode: false

init db

sqlite ./go-chatora.db

create table

CREATE TABLE key_values
(
    "key" TEXT NOT NULL UNIQUE,
    value TEXT NOT NULL
);

insert data

INSERT INTO key_values (key,value) VALUES('9s','s')

run

./go-chatora -c config.yaml

request

curl http://0.0.0.0:8080/?key=yourkey&type=json

response type

• plain(default)
• json
• msgp

Author

hiroyukim