GeoDB Cities
Find Cities & Towns with GeoDB Cities API.
Integrate the GeoDB Cities API with the Snowflake API
Setup the GeoDB Cities API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate GeoDB Cities and Snowflake remarkably fast. Free for developers.
Popular Ways to Connect GeoDB Cities with Snowflake#
Popular GeoDB Cities and Snowflake Triggers#
Popular GeoDB Cities and Snowflake Actions#
Find cities, filtering by optional criteria. If no criteria are set, you will get back all known cities with a population of at least 1000. See the docs.
Get the details for a specific country, including number of regions. See the docs.
Get the details of a specific country region, including number of cities. See the docs.
Overview of GeoDB Cities#
The GeoDB Cities API lets you tap into a rich dataset of worldwide cities, their attributes, and related data. On Pipedream, you can use this API to create workflows that automate location-based tasks, enrich data with geographical context, or power apps with location intelligence. For instance, you could trigger a workflow whenever a new city is added to a database, gather demographic information based on city names, or even integrate with travel platforms to plan itineraries.
Connect GeoDB Cities#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
geodb_cities: {
type: "app",
app: "geodb_cities",
}
},
async run({steps, $}) {
const data = {
"query": `{country(id:"US"){name region(code:"CA"){name populatedPlaces(first:10){totalCount pageInfo{startCursor endCursor hasNextPage}edges{node{name}}}}}}`,
}
return await axios($, {
method: "post",
url: `http://geodb-free-service.wirefreethought.com/graphql`,
headers: {
"x-rapidapi-key": `${this.geodb_cities.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})
Overview of Snowflake#
Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.
Getting Started
1. Create a user, role and warehouse in Snowflake
Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.
We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.
2. Enter those details in Pipedream
Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.
You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.
3. Build your first workflow
Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.
Learn more at Pipedream University.
Connect Snowflake#
import { promisify } from 'util'
import snowflake from 'snowflake-sdk'
export default defineComponent({
props: {
snowflake: {
type: "app",
app: "snowflake",
}
},
async run({steps, $}) {
const connection = snowflake.createConnection({
...this.snowflake.$auth,
application: "PIPEDREAM_PIPEDREAM",
})
const connectAsync = promisify(connection.connect)
await connectAsync()
async function connExecuteAsync(options) {
return new Promise((resolve, reject) => {
connection.execute({
...options,
complete: function(err, stmt, rows) {
if (err) {
reject(err)
} else {
resolve({stmt, rows})
}
}
})
})
}
// See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
const { rows } = await connExecuteAsync({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
})
return rows
},
})