with QuestDB and Python?
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
import { Client } from "pg";
export default defineComponent({
props: {
questdb: {
type: "app",
app: "questdb",
}
},
async run({ steps, $ }) {
const client = new Client({
host: this.questdb.$auth.host,
port: this.questdb.$auth.port,
user: this.questdb.$auth.user,
password: this.questdb.$auth.password,
database: this.questdb.$auth.database,
ssl: this.questdb.$auth.ssl
});
await client.connect();
const readAll = await client.query("SELECT version()");
await client.end();
return readAll.rows;
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
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}}