The distributed serverless database combining the flexibility of NoSQL with the relational querying capabilities of SQL systems.
Emit new event each time you add or remove a document from a specific collection, with the details of the document.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Performs an arbitrary authorized GraphQL query. See docs here
Reads all documents from a given Fauna collection. See docs here
module.exports = defineComponent({
props: {
faunadb: {
type: "app",
app: "faunadb",
}
},
async run({steps, $}) {
const faunadb = require('faunadb')
const q = faunadb.query
const client = new faunadb.Client({ secret: this.faunadb.$auth.secret })
// Lists collections in the database tied to your secret key
const collectionsPaginator = await client.paginate(q.Collections())
this.collections = []
await collectionsPaginator.each(page => {
for (const collection of page) {
this.collections.push(collection.id)
}
})
},
})
Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.
By using Pipedream, you can easily:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}