Snowflake

A data warehouse built for the cloud

Integrate the Snowflake API with the Node API

Setup the Snowflake API trigger to run a workflow which integrates with the Node API. Pipedream's integration platform allows you to integrate Snowflake and Node remarkably fast. Free for developers.

Run Node Code with Node API on New Row from Snowflake API
Snowflake + Node
 
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Run Node Code with Node API on Query Results from Snowflake API
Snowflake + Node
 
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New Query Results from the Snowflake API

Emit new event with the results of an arbitrary query

 
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New Row from the Snowflake API

Emit new event when a row is added to a table

 
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Insert Row with the Snowflake API

Insert a row into a table

 
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Run Node Code with the Node API

Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.

 
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Connect Snowflake

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module.exports = defineComponent({
  props: {
    snowflake: {
      type: "app",
      app: "snowflake",
    }
  },
  async run({steps, $}) {
    // Example query
    const sqlText = `SELECT CURRENT_TIMESTAMP();`
    
    const { promisify } = require('util')
    const snowflake = require('snowflake-sdk')
    
    const connection = snowflake.createConnection(this.snowflake.$auth)
    
    const connectAsync = promisify(connection.connect)
    
    try {
      await connectAsync()
    } catch (err) {
      console.error('Unable to connect: ' + err.message)
    }
    
    // util.promisify requires the last argument of the function you pass to 
    // it be the callback function, according to Node convention — see the docs at
    // https://nodejs.org/dist/latest-v8.x/docs/api/util.html#util_util_promisify_original .
    // Since Snowflake's connection.execute function accepts a single argument — 
    // options, an object — using promisify won't work. So we wrap the callback 
    // with a Promise and await it below.
    //
    // Pass the same options object (e.g. sqlText, binds), _except_ for the callback
    // parameter. Instead, you'll want to await the result, which contains the 
    // stmt and rows object the callback version of the function passes, using 
    // a catch block to catch any errors, e.g.
    //
    //   try {
    //     const { stmt, rows } = await connExecuteAsync({
    //       sqlText: `insert into your_table select parse_json('{"foo": "bar"}')`,
    //     })
    //   } catch (err) {
    //     console.error(`Failed to execute statement due to the following error: ${err.message}`)
    //   }
    //
    async function connExecuteAsync(options) {
      return new Promise((resolve, reject) => {
        const statement = connection.execute({
          ...options,
          complete: function(err, stmt, rows) {
            if (err) {
              reject(err)
            } else {
              resolve({stmt, rows})
            }
          }
        })
      })
    }
    
    try {
      const { stmt, rows } = await connExecuteAsync({
        sqlText,
        fetchAsString: ['Number', 'Date'],
      })
      console.log(JSON.stringify(rows, null, 2))
    } catch (err) {
      console.error(`Failed to execute statement due to the following error: ${err.message}`)
    }
  },
})

Connect Node

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// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
  async run({ steps, $ }) {
    // Return data to use it in future steps
    return steps.trigger.event
  },
})