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@arm.tech/clckh

v0.0.5-rc

Published

ClickHouse is an open source column-oriented database management system capable of real time generation of analytical data reports using SQL queries.

Downloads

26

Readme

@arm.tech/clckh

NodeJS client for ClickHouse. Send query over HTTP interface.

Install:

npm i @arm.tech/clckh

Example:

const ClickHouse = require('@arm.tech/clckh');

const clckh = new ClickHouse();

or with all options:

const clckh = new ClickHouse({
	url: 'http://localhost',
	port: 8123,
	debug: false,
	basicAuth: null,
	isUseGzip: false,
        format: "json", // "json" || "csv" || "tsv"
	config: {
		session_timeout                         : 60,
		output_format_json_quote_64bit_integers : 0,
		enable_http_compression                 : 0
	},
	
	// This object merge with request params (see request lib docs)
	reqParams: {
		...
	}
});

or change

basicAuth: null

to

basicAuth: {
username: 'default',
password: '',
},

Exec query:

const queries = [
	'DROP TABLE IF EXISTS session_temp',

	`CREATE TABLE session_temp (
		date Date,
		time DateTime,
		mark String,
		ips Array(UInt32),
		queries Nested (
			act String,
			id UInt32
		)
	)
	ENGINE=MergeTree(date, (mark, time), 8192)`,

	'OPTIMIZE TABLE ukit.loadstat PARTITION 201807 FINAL'
];

for(const query of queries) {
	const r = await clckh.query(query).toPromise();

	console.log(query, r);
}

Exec by callback way:

clckh.query(query).exec(function (err, rows) {
	...
});

Stream:

clckh.query(`SELECT number FROM system.numbers LIMIT 10`).stream()
	.on('data', function() {
		const stream = this;

		stream.pause();

		setTimeout(() => {
			stream.resume();
		}, 1000);
	})
	.on('error', err => {
		...
	})
	.on('end', () => {
		...
	});

or async stream:

// async iteration
for await (const row of clckh.query(sql).stream()) {
	console.log(row);
}

As promise:

const rows = await clckh.query(query).toPromise();

// use query with external data
const rows = await clckh.query('SELECT * AS count FROM temp_table', {
	external: [
		{
			name: 'temp_table',
			data: e._.range(0, rowCount).map(i => `str${i}`)
		},
	]
}).toPromise();

Set session:

clckh.sessionId = '...';
const r = await clckh.query(
	`CREATE TEMPORARY TABLE test_table
	(_id String, str String)
	ENGINE=Memory`
).toPromise();

Insert stream:

const ws = clckh.insert('INSERT INTO session_temp').stream();
for(let i = 0; i <= 1000; i++) {
	await ws.writeRow(
		[
			e._.range(0, 50).map(
				j => `${i}:${i * 2}:${j}`
			).join('-')
		]
	);
}

//wait stream finish
const result = await ws.exec();

Pipe readable stream to writable stream (across transform):

const rs = clckh.query(query).stream();

const tf = new stream.Transform({
	objectMode : true,
	transform  : function (chunk, enc, cb) {
		cb(null, JSON.stringify(chunk) + '\n');
	}
});

clckh.sessionId = Date.now();
const ws = clckh.insert('INSERT INTO session_temp2').stream();

const result = await rs.pipe(tf).pipe(ws).exec();