ClickHouse® is an open-source, high performance columnar OLAP database management system for real-time analytics using SQL.
Install the following package:
$ npm i --save @depyronick/clickhouse-client
- Importing the module
- Methods
- Query
- Insert
- Other
- Notes
Once the installation process is complete, you can import the ClickHouseClient
const { ClickHouseClient } = require('@depyronick/clickhouse-client');
// or:
// import { ClickHouseClient } from '@depyronick/clickhouse-client';
const analyticsServer = new ClickHouseClient({
host: '127.0.0.1',
password: '7h3ul71m473p4555w0rd'
});
// you can create multiple clients
const chatServer = new ClickHouseClient({
host: '127.0.0.2',
password: '7h3ul71m473p4555w0rd'
});
new ClickHouseClient(options: ClickHouseOptions)
will create a ClickHouse client with the specified connection options.
See ClickHouseOptions object for more information.
this.analyticsServer.query('SELECT * FROM visits LIMIT 10').subscribe({
error: (err) => {
// called when an error occurred during query
},
next: (row) => {
// called for each row
},
complete: () => {
// called when stream is completed
}
});
this.analyticsServer
.queryPromise('SELECT * FROM visits LIMIT 10')
.then((rows) => {
// all retrieved rows
})
.catch((err) => {
// called when an error occurred during query
});
// or
const rows = await this.analyticsServer.queryPromise(
'SELECT * FROM visits LIMIT 10'
);
The insert
method accepts two inputs.
table
is the name of the table that you'll be inserting data to.- Table value could be prefixed with database like
analytics_db.visits
.
- Table value could be prefixed with database like
data: T[]
array of JSON objects to insert.
analyticsServer
.insert('visits', [
{
timestamp: new Date().getTime(),
ip: '127.0.0.1',
os: 'OSX',
userAgent:
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/95.0.4638.69 Safari/537.36',
version: '1.0.0'
}
])
.subscribe({
error: (err) => {
// called when an error occurred during insert
},
next: () => {
// currently next does not emits anything for inserts
},
complete: () => {
// called when insert is completed
}
});
The insertPromise
method accepts the same inputs as insert
but returns a Promise, instead of Observable.
analyticsServer
.insertPromise('visits', [
{
timestamp: new Date().getTime(),
ip: '127.0.0.1',
os: 'OSX',
userAgent:
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) Chrome/95.0.4638.69 Safari/537.36',
version: '1.0.0'
}
])
.then(() => {
// insert was success
})
.catch(err => {
// called when an error occurred during insert
})
The ping
method accepts one input.
timeout
is the time in milliseconds to wait for the server to send ping responseOk.\n
// if you're using async/await
const ping = await analyticsServer.ping();
// or
analyticsServer
.then((pingResult) => {
// ping result is a boolean
// it will return `true` if we were able to receive `Ok.\n`
// and `false` if anything but `Ok.\n`
})
.catch((reason) => {
// reason is the full response of the error
// see more details at https://axios-http.com/docs/handling_errors
});
- This repository will be actively maintained and improved.
- Currently only supports JSON format.
- Planning to support all applicable formats listed here.
- Planning to implement TCP protocol, if ClickHouse decides to documentate it.
- Planning to implement inserts with streams.
- This library supports http response compressions such as brotli, gzip and deflate.
- Author - Ali Demirci