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bytadaniel committed Oct 10, 2022
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3 changes: 3 additions & 0 deletions .gitignore
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node_modules
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*.txt
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src
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21 changes: 21 additions & 0 deletions LICENSE
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MIT License

Copyright (c) 2022 bytadaniel

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
114 changes: 114 additions & 0 deletions README.md
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# clickhouse-ts by @bytadaniel
#### Select, insert in-memory batches safely and enjoy Clickhouse!

### Hello from [LookFor.sale](https://lookforsale.ru) developer which produces WB Analytics!
![Backers on Open Collective](https://lookforsale.ru/wp-content/uploads/2021/06/lfsw.jpg)

## TS client for clickhouse database with using in-memory caching rows for bulk insertion

### 💙 Typescript
This package is written in TypeScript because Node.js typing development is already an industry standard.
### 🖐 Bulk insert
It has been empirically verified that in-memory collecting rows is the most efficient and consistent way to insert into Clickhouse. To work with built-in caching, you just need to call the useCaching() method
### 💪 Transparent and Stability
clickhouse-ts doesn't use a lot of abstractions and dependencies, so it's fast and stable.
### 🏗 Ready for production
The Lookforsale team has been using clickhouse-ts effectively for over a year under extreme loads!
### 👍 Batch validation
Double checking data for anomalies during in-memory caching and when inserting a finished batch.
### ✨ Flexibility
Flexible configuration of the Clickhouse client instance and support for all features provided by Clickhouse developers.
### 🌈 Free for use
The package has a public license and is available for download to any developer!
### 🔐 Security
SQL Injection Protection with sqlstring


## Documentation

```js
import { Clickhouse } from 'clickhouse-ts'
import fs from 'fs'


const clickhouseInstance = new Clickhouse(
{
url: 'url',
port: 8443,
user: 'user',
password: 'password',
database: 'database',
ca: fs.readFileSync('cert.crt')
},
{
debug: {
mode: true,
/* List of providers to exclude from logging */
exclude: [...providers]
},
cache: {
/* after this time chunk will be completed */
chunkTTLSeconds: 3600,
/* interval of checking chunks */
chunkResolverIntervalSeconds: 180,
/* count of rows in one chunk */
chunkSizeLimit: 10_000,
/* 'events': on completed chunk emits event 'chunk'. You can save rows as you want */
chunkResolveType: 'events'
},
defaultResponseFormat: 'JSON',
clickhouseOptions: {
/* https://clickhouse.tech/docs/en/operations/settings/settings/ */
send_progress_in_http_headers: '1'
}
}
)

clickhouseInstance.useCaching()

clickhouseInstance.onChunk((chunkId, table, rows) => {
// handle insertion
})
```

## Cache
```js
const response = clickhouseInstance.cache(
'table_strings',
[{ date: '2021-01-01', string: 'str1' }],
{
responseFormat: 'CSVWithNames' // or other format
// other query options
}
)
```

## Insert
```js
const response = await clickhouseInstance.insert(
'table_strings',
[{ date: '2021-01-01', string: 'str1' }],
{
responseFormat: 'CSVWithNames' // or other format
// other query options
}
)
```

## Query

```js
await clickhouseInstance.query<{ t: string }>('WITH now() as t SELECT t', {
responseFormat: 'TSV',
// ...other query options
})

await clickhouseInstance.query(`
CREATE TABLE strings (
date DateTime('UTC'),
string String
) Engine = ReplacingMergeTree()
PARTITION BY toMonday(date)
ORDER BY (date, string)
`)
```
2 changes: 2 additions & 0 deletions index.ts
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import { Clickhouse } from "./src/clickhouse/Clickhouse";
export { Clickhouse }
154 changes: 154 additions & 0 deletions package-lock.json

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50 changes: 50 additions & 0 deletions package.json
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{
"name": "clickhouse-ts",
"author": "@daniel_byta Daniel Byta",
"main": "lib/index.js",
"files": [
"lib/**/*"
],
"version": "1.6.1",
"license": "ISC",
"description": "Clickhouse queries with bulk insert and TypeScript!",
"keywords": [
"clickhouse",
"bulk",
"ts",
"bulk insert",
"clickhouse-client",
"clickhouse-ts",
"client",
"clickhouse-client",
"caching",
"database"
],
"repository": {
"type": "git",
"url": "https://github.com/bytadaniel/clickhouse-ts.git"
},
"bugs": {
"url": "https://github.com/bytadaniel/clickhouse-ts/issues"
},
"homepage": "https://github.com/bytadaniel/clickhouse-ts#readme",
"scripts": {
"build": "rm -rf lib && tsc"
},
"dependencies": {
"axios": "^0.21.4",
"dayjs": "^1.10.5",
"lodash": "^4.17.21",
"sqlstring": "^2.3.2"
},
"devDependencies": {
"@types/lodash": "^4.14.181",
"@types/node": "^15.14.9",
"@types/sqlstring": "^2.3.0",
"ts-node": "^10.0.0",
"typescript": "^4.3.4"
},
"publishConfig": {
"access": "public"
}
}

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