**So its confirmed, you need to parse(jsondecode) that data in your side.**
So its confirmed, you need to parse(jsondecode) that data in your side.
Mconsole.log(JSON.parse(user?.settings?.hello))message: "undefined" is not valid JSONMand with
console.log(JSON.parse(user?.settings))
Mhttps://developers.cloudflare.com/d1/learning/querying-json/#extracting-values
- specifically the “Extracting values” section - lots of examples.
D1 has built-in support for querying and parsing JSON data stored within a database. This enables you to:
MIf you’re learning, using the dashboard’s console to test out functions or
wrangler d1 execute your-db —command="SELECT json_extract(…) FROM yourtable" is a good way to experiment.
MThe Cloudflare Blog
We've been heads down iterating on D1, and we've just shipped a major new version that's substantially faster, more reliable, and introduces Time Travel: the ability to restore a D1 database to any point in time.
MYou don’t need to use that library. Use the Cloudflare adapter - follow these steps: https://developers.cloudflare.com/pages/framework-guides/deploy-a-svelte-site/#sveltekit-cloudflare-configuration
MA working example: https://github.com/elithrar/svelte-demo-d1
export async function GET({ request, platform }) {
let result = await platform.env.DB.prepare(
"SELECT * FROM users LIMIT 5"
).run();
return new Response(JSON.stringify(result));
}
```
- I just ran through the SvelteKit tutorial. Let it be known that I am not a big fan of SvelteKit and find the TypeScript support very janky.
```ts
// file: routes/api/users/+server.ts
import type { RequestHandler } from "@sveltejs/kit";
export async function GET({ request, platform }) {
let result = await platform.env.DB.prepare(
"SELECT * FROM users LIMIT 5"
).run();
return new Response(JSON.stringify(result));
}
```
MWe don’t publish exact timelines (see my pinned messages for a longer explanation). It’s soon, but you’re just going to be frustrated if I give you a date and we don’t hit it because there’s a bug or edge case that breaks things.
MHey guys,
I’m trying to decide between planet scale and d1 for my saas. The only thing holding me back from d1 is having to worry about database storage limit. Like planet scale Im under the impression you just create a database and never have to worry about a single thing and it grows in size as you need it to
I’m trying to decide between planet scale and d1 for my saas. The only thing holding me back from d1 is having to worry about database storage limit. Like planet scale Im under the impression you just create a database and never have to worry about a single thing and it grows in size as you need it to
UD1 is in alpha and shouldnt really be used for production critical applications.
MI know I’m referencing to when it’s released
UWhen D1 is released I assume it will have much much much higher limits to storage than it does now. But it is going to be in alpha for some time so you shouldnt plan on using it if you are already working on a service you want to use for critical production workloads
MThanks I get that and using planet scale for now but watching d1 carefully as I’d like to migrate to using only cf services in future so that’s why I’m asking
MMy question I guess is does cloudflare plan to auto scale for users like planet scale does
MOr is that something they have settled that we have to do ourselves with sharding? How would one even handle having multiple databases due to reaching size limits
JI just saw that new information was updated in d1 price.
The price of reading is reasonable
It may not be completed yet, but I have a few questions.
The price of reading is reasonable
It may not be completed yet, but I have a few questions.
- Does the UPDATE query go into Write units?
- Does "Workers Paid" mean First 50 million is free? Or are you saying that up to 50 million is charged $1 per million?
UUpdates are writes.
For workers paid plan the first 50 million write units are free. The first 25 billion read units are free. (But pricing isn’t final and subject to change)
For workers paid plan the first 50 million write units are free. The first 25 billion read units are free. (But pricing isn’t final and subject to change)
JThank you for your answer!
Then I think it's much cheaper than I expected!
I will change my postgres db to sqlite sometime this week to move quickly when d1 is released!
Then I think it's much cheaper than I expected!
I will change my postgres db to sqlite sometime this week to move quickly when d1 is released!
JI have one last question
When using the Workers Paid model
Do I get 5 million every day in the free section in addition to the first 25 billion?
When using the Workers Paid model
Do I get 5 million every day in the free section in addition to the first 25 billion?
UNo those tiers are separate
JThank you. I had no conscience lol
SDo we know yet how multiple databases will work yet? At the moment the limitations of the binding make having multiple DBs awkward. I'm hoping to use a separate DB per SaaS tenant. I can't currently see how that would fit the current bindings. Other systems, e.g. Azure SQL have a logical 'Server' that contains individual databases. That would work (assuming you don't call it 'Server').
MWe have some ideas here for the “thousands to tens of thousands of tenants” - that will isolate each DB you create. Can’t share more yet and won’t be “next month”.
MYour current options:
- Shell out to
and have it run commands/import files for youwrangler - Put your own HTTP API in front of D1
- Use
in remote mode against your live DBwrangler dev
MWhy not KV? If it’s read heavy. You can bundle into your script but will eventually hit script size limits.
VHi!
I've spent quite a few hours looking up this specific use-case but could not find much help online so I'd like to ask:
How can I work with D1 in the context of integration/e2e tests?
Let's say I have a JSON REST API written in a Worker.
As for the Worker itself I can use wranglers
My code currently looks like this:
At the very least it would be nice to have a fresh database ready at the start of the test. So like create a new SQLite file and run all the migrations. Currently the worker in the code above simply accesses my local D1 file.
How could I accomplish this in a way that would later fit into CI/CD etc?
I've spent quite a few hours looking up this specific use-case but could not find much help online so I'd like to ask:
How can I work with D1 in the context of integration/e2e tests?
Let's say I have a JSON REST API written in a Worker.
As for the Worker itself I can use wranglers
unstable_dev()My code currently looks like this:
At the very least it would be nice to have a fresh database ready at the start of the test. So like create a new SQLite file and run all the migrations. Currently the worker in the code above simply accesses my local D1 file.
How could I accomplish this in a way that would later fit into CI/CD etc?
VThere are Unbound Workers which have no execution time limit.
VAs for my usecase I guess I could run shell scripts before testing to clean up and migrate the database but it would be nice if the tests somehow had their own instance/database file and they would not interfere with the local development file.
Any insight?
Any insight?
VpersistTo to a temporary file and execute migrations in the before function?
VAFAIK wrangler d1 migrations appy just runs the migration files one after another with execute()
Vand so I can do the same without using child_process or similar node apis to keep everything progamatical in the test
Voh yeah my bad you can not access the actual D1 APIs from the test, so I either have to create an endpoint inside the Worker to run the migrations or fall back to child_process.exec to run wrangler d1 migrations apply 
VGuess I just wanted to have one less dependency.. So you run better-sqlite3 on the db file which gets generated in a known location (since we set it in
persistTo) then read the migrations files and execute them via better-sliqte3?VWrangler usees Miniflare as per the codebase but then I guess miniflare 3 is using better-sqlite3?
