Importing data with Tinybird.js

You can use Tinybird.js to import data from a client side application. There are mainly 3 ways to import your data:

• Importing a remote file through its URL.

• Importing a local file

• Importing or appending data generated and/or gathered by your JavaScript application.

To be able to import data you will need an Auth token with SCOPE:IMPORT permissions. When appending data your Auth token will need SCOPE:APPEND permissions.

importUrl(url, name, options)

To create a Data Source from a remote file, use the importUrl() method. The file needs to be accessible via HTTP(S). Importing through a URL is by far the fastest way to import.

importUrl(url, datasource_name[,options])

//norun
// load Demographic Statistics By Zip Code
var res = await tinyb.importUrl('https://data.cityofnewyork.us/api/views/kku6-nxdu/rows.csv?accessType=DOWNLOAD', 'example')
if (res.error) {
  onError(res.error)
} else {
  console.log("imported " + res.datasource.name)
}

Function arguments

NAME	TYPE	DESCRIPTION
url	String	HTTP[s] url where the CSV file is located
datasource_name	String	Optional. Name of the Data Source that will be imported. If not specified, Tinybird Analytics will derive a name off of the CSV file name. Can only contain ASCII letters, numbers or underscores. Name must start with a letter
Options[schema]	String	Data Source schema in format ‘column1 Type, column2 Type2…’ See clickhouse documentation to learn more about the available column types
Options[headers]	Array(String)	An array of headers to be sent when fetching url
Options[mode]	String	Import mode, it can be: append, replace or create. If mode is append, Data Source schema must be compatible

import(rows, name, options)

The import() method creates a Data Source and then imports the data provided in the rows argument, which can be one of the following:

An array with multiple rows of comma-separated Strings

import(raw_csv, datasource_name[, options])

//norun
let tinyb = tinybird('<import_token>')
var rows = [
    ['a', 'b', 'c', 123],
    ['d', 'e', 'f', 456]
]
var res = await tinyb.import(rows, 'my_datasource_name');

A Blob coming, for example, from a form element

import(blob, datasource_name[, options])

//norun
let t = tinybird('<import_token>')
var fileInputElement = document.getElementById('file_input_form')
var file = fileInputElement.files[0]
var res = await tiny.import(file, 'datasource_name')

Function arguments

NAME	TYPE	DESCRIPTION
rows	Multi	Required. Array of Strings with comma-separated values Blob (e.g. coming from a file input element)
datasource_name	String	Optional. Name of the Data Source that will be imported. Can only contain ASCII letters, numbers or underscores. Name must start with a letter
Options[schema]	String	Data Source schema in format ‘column1 Type, column2 Type2…’ See clickhouse documentation to learn more about the available column types
Options[headers]	Array(String)	An aray of headers to be sent when fetching url
Options[mode]	String	Import mode, it can be: append, replace or create

append(rows, options)

Use the append() method to append data to an existing Data Source. Target Data Source schema should match the rows you are trying to append. The rows argument can be:

A String with raw comma-separated values

append(raw_csv [, options])

//norun
let tinyb = tinybird('<DATASOURCE:APPEND token>').datasource('<datasource_name>')
var res = await tinyb.append("1,8,Toyota Gazoo Racing,Sébastien BUEMI,Kazuki NAKAJIMA,Fernando ALONSO,,Toyota TS050 - Hybrid,M,LMP1,H,,Classified,388,24:00'52.247,,,5,3'17.658,248.2,,")

An array with multiple rows of comma-separated Strings

append(array[rows] [, options])

//norun
let tinyb = tinybird('<DATASOURCE:APPEND token>').datasource('<datasource_name>')
var res = await tinyb.append([
    ['a', 'b', 'c', 123],
    ['d', 'e', 'f', 456]
])

A Blob coming, for example, from a form element

append(blob [, options])

//norun
let tinyb = tinybird('<DATASOURCE:APPEND token>').datasource('<datasource_name>')
var fileInputElement = document.getElementById('file_input_form')
var file = fileInputElement.files[0]
var res = await tinyb.append(file)

A URL object (importURL could be used in this scenario instead)

append(url [, options])

//norun
let tinyb = tinybird('<DATASOURCE:APPEND token>').datasource('<datasource_name>')
var res = await tinyb.append(new URL('http://test.com/file.csv'))

Function arguments

NAME	TYPE	DESCRIPTION
rows	Multi	Required. String of comma-separated values Array of Strings with comma-separated values Blob (e.g. coming from a file input element) URL object
Options[headers]	Array(String)	An aray of headers to be sent when fetching url

replace(rows, options)

Use the replace() method to replace your Data Source data. The rows argument can be:

A String with raw comma-separated values

replace(raw_csv [, options])

//norun
let tinyb = tinybird('<import_token>').datasource('<datasource_name>')
var res = await tinyb.replace("1,8,Toyota Gazoo Racing,Sébastien BUEMI,Kazuki NAKAJIMA,Fernando ALONSO,,Toyota TS050 - Hybrid,M,LMP1,H,,Classified,388,24:00'52.247,,,5,3'17.658,248.2,,")

An array with multiple rows of comma-separated Strings

replace(array[rows] [, options])

//norun
let tinyb = tinybird('<import_token>').datasource('<datasource_name>')
var res = await tinyb.replace([
    ['a', 'b', 'c', 123],
    ['d', 'e', 'f', 456]
])

A Blob coming, for example, from a form element

replace(blob [, options])

//norun
let tinyb = tinybird('<import_token>').datasource('<datasource_name>')
var fileInputElement = document.getElementById('file_input_form')
var file = fileInputElement.files[0]
var res = await tinyb.replace(file)

A URL object (importURL could be used in this scenario instead)

replace(url [, options])

//norun
let tinyb = tinybird('<import_token>').datasource('<datasource_name>')
var res = await tinyb.replace(new URL('http://test.com/file.csv'))

Function arguments

NAME	TYPE	DESCRIPTION
rows	Multi	Required. String of comma-separated values Array of Strings with comma-separated values Blob (e.g. coming from a file input element) URL object
Options[headers]	Array(String)	An aray of headers to be sent when fetching url