← Snowflake + Slack integrations

Reply to a Message Thread with Slack API on New Query Results from Snowflake API

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Trigger workflow on
New Query Results from the Snowflake API
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Reply to a Message Thread with the Slack API
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Getting Started

This integration creates a workflow with a Snowflake trigger and Slack action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Query Results trigger
    1. Connect your Snowflake account
    2. Configure timer
    3. Configure SQL Query
    4. Optional- Configure Primary key
    5. Optional- Configure Emit individual events
  3. Configure the Reply to a Message Thread action
    1. Connect your Slack account
    2. Configure Thread Timestamp
    3. Optional- Configure Reply Broadcasts
    4. Select a Channel
    5. Configure Text
    6. Optional- Configure Send text as Slack mrkdwn
    7. Optional- Configure Send as User
    8. Optional- Configure Bot Username
    9. Optional- Select a Icon (emoji)
    10. Optional- Configure Icon (image URL)
    11. Optional- Configure Schedule message
    12. Optional- Configure Include link to workflow
    13. Optional- Configure Metadata Event Type
    14. Optional- Configure Metadata Event Payload
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger

Description:Run a SQL query on a schedule, triggering a workflow for each row of results
Version:0.1.10
Key:snowflake-query-results

Snowflake Overview

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.

Trigger Code

import common from "../common.mjs";
import { v4 as uuidv4 } from "uuid";

export default {
  ...common,
  type: "source",
  key: "snowflake-query-results",
  name: "New Query Results",
  // eslint-disable-next-line
  description: "Run a SQL query on a schedule, triggering a workflow for each row of results",
  version: "0.1.10",
  props: {
    ...common.props,
    sqlQuery: {
      type: "string",
      label: "SQL Query",
      description: "Run this query on a schedule, triggering the workflow for each row of results",
    },
    // Ordering props correctly
    timer: common.props.timer,
    dedupeKey: {
      type: "string",
      label: "Primary key",
      description: "The column in your query to use for de-duplication. Duplicate rows won't trigger your workflow",
      optional: true,
    },
    emitIndividualEvents: {
      propDefinition: [
        common.props.snowflake,
        "emitIndividualEvents",
      ],
    },
  },
  methods: {
    ...common.methods,
    generateMeta(data) {
      const {
        row: { [this.dedupeKey]: id = uuidv4() },
        timestamp: ts,
      } = data;
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    generateMetaForCollection(data) {
      const { timestamp: ts } = data;
      const id = uuidv4();
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    getStatement() {
      return {
        sqlText: this.sqlQuery,
      };
    },
  },
};

Trigger Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
SnowflakesnowflakeappThis component uses the Snowflake app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer

Watch for changes on this schedule

SQL QuerysqlQuerystring

Run this query on a schedule, triggering the workflow for each row of results

Primary keydedupeKeystring

The column in your query to use for de-duplication. Duplicate rows won't trigger your workflow

Emit individual eventsemitIndividualEventsboolean

Defaults to true, triggering workflows on each record in the result set. Set to false to emit records in batch (advanced)

Trigger Authentication

Snowflake uses API keys for authentication. When you connect your Snowflake account, Pipedream securely stores the keys so you can easily authenticate to Snowflake APIs in both code and no-code steps.

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.

Enter the username, password, and other details below. The account field expects your Snowflake account identifier. You may need to include the full identifier and region as a part of this string, e.g. au12345.us-east-1. Please consult your instance and Snowflake docs for more detail.

About Snowflake

A data warehouse built for the cloud

Action

Description:Send a message as a threaded reply. See [postMessage](https://api.slack.com/methods/chat.postMessage) or [scheduleMessage](https://api.slack.com/methods/chat.scheduleMessage) docs here
Version:0.1.18
Key:slack-reply-to-a-message

Slack Overview

The Pipedream Slack app enables you to build event-driven workflows that interact with the Slack API. When you authorize the Pipedream app's access to your workspace, you can use Pipedream workflows to perform common Slack actions, or write your own code against the Slack API.

The Pipedream Slack app is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.

  • Automate posting updates to your team channels
  • Create a bot to answer common questions
  • Integrate with your existing tools and services
  • And much more!

Action Code

import slack from "../../slack.app.mjs";
import common from "../common/send-message.mjs";

export default {
  ...common,
  key: "slack-reply-to-a-message",
  name: "Reply to a Message Thread",
  description: "Send a message as a threaded reply. See [postMessage](https://api.slack.com/methods/chat.postMessage) or [scheduleMessage](https://api.slack.com/methods/chat.scheduleMessage) docs here",
  version: "0.1.18",
  type: "action",
  props: {
    slack: common.props.slack,
    thread_ts: {
      propDefinition: [
        slack,
        "thread_ts",
      ],
      optional: false,
    },
    reply_broadcast: {
      propDefinition: [
        slack,
        "reply_broadcast",
      ],
    },
    conversation: {
      propDefinition: [
        slack,
        "conversation",
      ],
      optional: false,
    },
    text: {
      propDefinition: [
        slack,
        "text",
      ],
      optional: false,
    },
    mrkdwn: {
      propDefinition: [
        slack,
        "mrkdwn",
      ],
    },
    ...common.props,
  },
};

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
SlackslackappThis component uses the Slack app.
Thread Timestampthread_tsstring

Provide another message's ts value to make this message a reply (e.g., if triggering on new Slack messages, enter {{event.ts}}). Avoid using a reply's ts value; use its parent instead.

Reply Broadcastsreply_broadcastboolean

Used in conjunction with thread_ts and indicates whether reply should be made visible to everyone in the channel or conversation. Defaults to false.

ChannelconversationstringSelect a value from the drop down menu.
Texttextstring

Text of the message to send (see Slack's formatting docs). This field is usually necessary, unless you're providing only attachments instead.

Send text as Slack mrkdwnmrkdwnboolean

TRUE by default. Pass FALSE to disable Slack markup parsing. See docs here

Send as Useras_userboolean

Optionally pass TRUE to post the message as the authed user, instead of as a bot. Defaults to FALSE.

Bot Usernameusernamestring

Optionally customize your bot's user name (default is Pipedream). Must be used in conjunction with as_user set to false, otherwise ignored.

Icon (emoji)icon_emojistringSelect a value from the drop down menu.
Icon (image URL)icon_urlstring

Optionally provide an image URL to use as the icon for this message. Must be used in conjunction with as_user set to false, otherwise ignored.

Schedule messagepost_atinteger

Messages can only be scheduled up to 120 days in advance, and cannot be scheduled for the past. The datetime format should be a unix timestamp (e.g., 1650507616, see here for help with this format).

Include link to workflowinclude_sent_via_pipedream_flagboolean

Defaults to true, includes a link to the workflow at the end of your Slack message.

Metadata Event Typemetadata_event_typestring

The name of the metadata event

Metadata Event Payloadmetadata_event_payloadstring

The payload of the metadata event. Must be a JSON string e.g. {"key": "value"}

Action Authentication

Slack uses OAuth authentication. When you connect your Slack account, Pipedream will open a popup window where you can sign into Slack and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Slack API.

Pipedream requests the following authorization scopes when you connect your account:

bookmarks:writecalls:readcalls:writechannels:historychannels:readchannels:writednd:readdnd:writeemoji:readfiles:readgroups:historygroups:readgroups:writeim:historyim:readim:writelinks:readlinks:writempim:historympim:readmpim:writepins:readpins:writereactions:readreactions:writereminders:readreminders:writeremote_files:readremote_files:sharestars:readstars:writeteam:readusergroups:readusergroups:writeusers:readusers:read.emailusers:writechat:write:botchat:write:usercommandsfiles:write:userusers.profile:writeusers.profile:readsearch:read

About Slack

Slack is a channel-based messaging platform. With Slack, people can work together more effectively, connect all their software tools and services, and find the information they need to do their best work — all within a secure, enterprise-grade environment.

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