Query SQL Database with Database API on New Row from Snowflake API

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Trigger workflow on

New Row from the Snowflake API

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Query SQL Database with the Database API

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Getting Started#

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

Select this integration
Configure the New Row trigger
1. Connect your Snowflake account
2. Configure timer
3. Select a Database
4. Select a Schema
5. Select a Table Name
6. Select a Unique Key
7. Optional- Configure Emit individual events
Configure the Query SQL Database action
1. Connect your Database account
2. Select a Database Type
3. Connect your Database account
4. Connect your Database account
5. Connect your Database account
6. Connect your Database account
7. Connect your Database account
8. Connect your Database account
9. Configure sql
Deploy the workflow
Send a test event to validate your setup
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#

New Row on Snowflake

Description:Emit new event when a row is added to a table

Version:0.2.2

Key:snowflake-new-row

View on GitHub

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-table-scan.mjs";

export default {
  ...common,
  type: "source",
  key: "snowflake-new-row",
  name: "New Row",
  description: "Emit new event when a row is added to a table",
  version: "0.2.2",
  methods: {
    ...common.methods,
    async getStatement(lastResultId) {
      const sqlText = `
        SELECT *
        FROM IDENTIFIER(:1)
        WHERE ${this.uniqueKey} > :2
        ORDER BY ${this.uniqueKey} ASC
      `;
      const binds = [
        this.tableName,
        lastResultId,
      ];
      return {
        sqlText,
        binds,
      };
    },
  },
};

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.

Label	Prop	Type	Description
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`	Watch for changes on this schedule
Database	`database`	`string`	Select a value from the drop down menu.
Schema	`schema`	`string`	Select a value from the drop down menu.
Table Name	`tableName`	`string`	Select a value from the drop down menu.
Unique Key	`uniqueKey`	`string`	Select a value from the drop down menu.
Emit individual events	`emitIndividualEvents`	`boolean`	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.

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.

About Snowflake#

A data warehouse built for the cloud

Action#

Query SQL Database on Database

Description:Execute a SQL Query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.

Version:0.0.4

Key:database-query-sql-database

View on GitHub

Database Overview#

The Database API on Pipedream allows users to execute SQL commands directly within workflows, enabling rich and dynamic data manipulation and storage. It supports PostgreSQL, MySQL, and SQLite, making it a versatile option for managing data across various database systems. With this API, users can perform tasks such as data insertion, querying, updates, and deletions, directly within their automations, facilitating real-time data processing and integration across multiple platforms.

Action Code#

/* eslint-disable no-unused-vars */
/* eslint-disable pipedream/props-label */
/* eslint-disable pipedream/props-description */
import postgresql from "../../../postgresql/postgresql.app.mjs";
import mysql from "../../../mysql/mysql.app.mjs";
import snowflake from "../../../snowflake/snowflake.app.mjs";
import azure_sql from "../../../azure_sql/azure_sql.app.mjs";
import microsoft_sql_server from "../../../microsoft_sql_server/microsoft_sql_server.app.mjs";
import turso from "../../../turso/turso.app.mjs";

export default {
  name: "Query SQL Database",
  key: "database-query-sql-database",
  description:
    "Execute a SQL Query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.",
  version: "0.0.4",
  type: "action",
  props: {
    database: {
      type: "app",
      app: "database",
    },
    db_type: {
      label: "Database Type",
      type: "string",
      description: "Select the database type you need to query",
      options: [
        {
          label: "PostgreSQL",
          value: "postgresql",
        },
        {
          label: "MySQL",
          value: "mysql",
        },
        {
          label: "Snowflake",
          value: "snowflake",
        },
        {
          label: "Azure SQL Server",
          value: "azure_sql",
        },
        {
          label: "Microsoft SQL Server",
          value: "microsoft_sql_server",
        },
        {
          label: "Turso",
          value: "turso",
        },
      ],
      reloadProps: true,
    },
    postgresql: {
      ...postgresql,
      hidden: true,
    },
    mysql: {
      ...mysql,
      hidden: true,
    },
    snowflake: {
      ...snowflake,
      hidden: true,
    },
    azure_sql: {
      ...azure_sql,
      hidden: true,
    },
    microsoft_sql_server: {
      ...microsoft_sql_server,
      hidden: true,
    },
    turso: {
      ...turso,
      hidden: true,
    },
    sql: {
      type: "sql",
      auth: {
        app: "postgresql",
      },
      hidden: true,
    },
  },
  async additionalProps(prev) {
    const db_type = this.db_type?.value || this.db_type;

    prev.snowflake.hidden = db_type !== "snowflake";
    prev.mysql.hidden = db_type !== "mysql";
    prev.postgresql.hidden = db_type !== "postgresql";
    prev.azure_sql.hidden = db_type !== "azure_sql";
    prev.microsoft_sql_server.hidden = db_type !== "microsoft_sql_server";
    prev.turso.hidden = db_type !== "turso";
    prev.sql.hidden = !db_type;

    prev.snowflake.disabled = db_type !== "snowflake";
    prev.mysql.disabled = db_type !== "mysql";
    prev.postgresql.disabled = db_type !== "postgresql";
    prev.azure_sql.disabled = db_type !== "azure_sql";
    prev.microsoft_sql_server.disabled = db_type !== "microsoft_sql_server";
    prev.turso.disabled = db_type !== "turso";

    prev.sql.disabled = !db_type;
    prev.sql.auth.app = db_type;

    return {
      sql: {
        type: "sql",
        auth: {
          app: db_type,
        },
        label: "SQL Query",
      },
    };
  },
  async run({
    steps, $,
  }) {
    const db_type = this.db_type.value || this.db_type;
    const args = this[db_type].executeQueryAdapter(this.sql);
    const data = await this[db_type].executeQuery(args);
    $.export(
      "$summary",
      `Returned ${data.length} ${data.length === 1
        ? "row"
        : "rows"}`,
    );
    return data;
  },
};

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.

Label	Prop	Type	Description
Database	`database`	`app`	This component uses the Database app.
Database Type	`db_type`	`string`	Select a value from the drop down menu:`{ "label": "PostgreSQL", "value": "postgresql" }{ "label": "MySQL", "value": "mysql" }{ "label": "Snowflake", "value": "snowflake" }{ "label": "Azure SQL Server", "value": "azure_sql" }{ "label": "Microsoft SQL Server", "value": "microsoft_sql_server" }{ "label": "Turso", "value": "turso" }`