glotsheet
v0.2.0
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XXX
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SheetSQL
Google Spreadsheet as a Database.
Purpose
In the past, I often asked by non-technical colleagues to do some DB scripts jobs to mapping their spreadsheets data to the production database. And when their data changes the same work needs to be done again. Since these data are not changed too frequently(compared with other online data), it's also not worth to make a content management system for them.
But why don't make their spreadsheets as a real production database? That's what "Single source of truth" means. What's more, you even could write back some statistical data like "Page View" to the spreadsheets, so they could see the feedback clearly and continue to optimize the content.
Requirements
- Create a Google Spreadsheet and populate the first row with the columns names, here is an Example Sheet.
- Create a Google Cloud Service Account and download the JSON file that contains your key.
- Find your service account email in credentials console which similar with
[email protected]
. - Share your sheets to the above email, and make sure you have assigned it as an editor.
Usage
Concepts
db
db
means the Google Spreadsheet ID. You can find it in your sheet's URL: https://docs.google.com/spreadsheets/d/${YOUR_SHEETS_ID}/edit
table
table
means the Sheet Name in your Spreadsheet. The default is Sheet1
.
data type
Every data in sheetsql will be set/get as a string. You need to handle the type mapping on your side.
keyFile
Your service account JSON key file.
Install
npm i sheetsql -S
Example
const db = new Database({
db: '1ya2Tl2ev9M80xYwspv7FJaoWq0oVOMBk3VF0f0MXv2s',
table: 'Sheet1', // optional, default = Sheet1
keyFile: './google-serviceaccount.json',
cacheTimeoutMs: 5000, // optional, default = 5000
})
// load schema and data from google spreadsheet
await db.load()
// insert multiple documents
let docs = await db.insert([
{
name: 'joway',
age: 18,
},
])
// find documents and update them
docs = await db.update(
{
name: 'joway',
},
{
age: 100,
},
)
// find documents
docs = await db.find({
name: 'joway',
})
// find all documents
docs = await db.find({})
// find documents and remove them
docs = await db.remove({
name: 'joway',
})
Using a Proxy
sheetsql depend on googleapis
lib in which you can set the following environment variables to proxy http/https requests:
HTTP_PROXY
/http_proxy
HTTPS_PROXY
/https_proxy
The two environment variables could let your all requests using the proxy. If that is not your expected behavior and you only need to proxy google APIs, set NO_PROXY=*
.
Here is the discuss.