Execute Query with Microsoft Azure SQL Database API on New Row from PostgreSQL API

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Trigger workflow on

New Row from the PostgreSQL API

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Execute Query with the Microsoft Azure SQL Database API

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Getting Started#

This integration creates a workflow with a PostgreSQL trigger and Microsoft Azure SQL 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 PostgreSQL account
2. Configure Polling Interval
3. Select a Schema
4. Select a Table
5. Optional- Select a Column
Configure the Execute Query action
1. Connect your Microsoft Azure SQL Database account
2. Configure Query
3. Optional- Configure Inputs
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 PostgreSQL

Description:Emit new event when a new row is added to a table. [See the documentation](https://node-postgres.com/features/queries)

Version:3.0.6

Key:postgresql-new-row

View on GitHub

PostgreSQL Overview#

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Trigger Code#

import common from "../common.mjs";

export default {
  ...common,
  name: "New Row",
  key: "postgresql-new-row",
  description: "Emit new event when a new row is added to a table. [See the documentation](https://node-postgres.com/features/queries)",
  version: "3.0.6",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    schema: {
      propDefinition: [
        common.props.postgresql,
        "schema",
      ],
    },
    table: {
      propDefinition: [
        common.props.postgresql,
        "table",
        (c) => ({
          schema: c.schema,
        }),
      ],
    },
    column: {
      propDefinition: [
        common.props.postgresql,
        "column",
        (c) => ({
          schema: c.schema,
          table: c.table,
        }),
      ],
      description: "An ID or timestamp column where new rows will always contain larger values than the previous row. Defaults to the table's primary key.",
      optional: true,
    },
  },
  hooks: {
    /** If column prop is left blank, get the table's primary key to use
     * for ordering and deduping. */
    async deploy() {
      const column = this.column
        ? this.column
        : await this.postgresql.getPrimaryKey(this.table, this.schema);
      this._setColumn(column);

      await this.initialRows(this.schema, this.table, column);
    },
  },
  methods: {
    ...common.methods,
    _getColumn() {
      return this.db.get("column");
    },
    _setColumn(column) {
      this.db.set("column", column);
    },
    generateMeta(row, column) {
      return {
        id: row[column],
        summary: "New Row Added",
        ts: Date.now(),
      };
    },
  },
  async run() {
    const column = this._getColumn();
    const isColumnUnique = await this.isColumnUnique(this.schema, this.table, column);
    if (!isColumnUnique) {
      throw new Error("The column selected contains duplicate values. Column must be unique");
    }

    await this.newRows(this.schema, this.table, column);
  },
};

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
PostgreSQL	`postgresql`	`app`	This component uses the PostgreSQL app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling Interval	`timer`	`$.interface.timer`	Pipedream will poll the API on this schedule
Schema	`schema`	`string`	Select a value from the drop down menu.
Table	`table`	`string`	Select a value from the drop down menu.
Column	`column`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

Connecting to Restricted Databases

Either enable the shared static IP for this account below, or configure a VPC to deploy any workflow in your workspace to a private network with a dedicated static IP. Learn more in our docs.

SSL Setup

Configure SSL on your PostgreSQL database by providing the CA (Certificate Authority), and choosing between Full Verification, Verify Certificate Authority (CA), or Skip Verification. Skipping verification is not recommended as this has serious security implications.

About PostgreSQL#

PostgreSQL is a free and open-source relational database management system emphasizing extensibility and SQL compliance.

Action#

Execute Query on Microsoft Azure SQL Database

Description:Executes a SQL query and returns the results. [See the documentation](https://learn.microsoft.com/en-us/sql/t-sql/queries/select-transact-sql?view=azuresqldb-current)

Version:0.0.5

Key:azure_sql-execute-query

View on GitHub

Microsoft Azure SQL Database Overview#

The Microsoft Azure SQL Database API allows you to manage and interact with your SQL databases hosted on Azure directly from Pipedream. It provides a serverless way to run SQL queries, manage tables, and handle database management tasks. You can create, read, update, and delete database records, execute stored procedures, and perform a variety of other SQL operations. Leveraging this API on Pipedream enables you to automate workflows, respond to database events in real-time, and integrate with countless other apps and services.

Action Code#

import app from "../../azure_sql.app.mjs";

export default {
  key: "azure_sql-execute-query",
  name: "Execute Query",
  description: "Executes a SQL query and returns the results. [See the documentation](https://learn.microsoft.com/en-us/sql/t-sql/queries/select-transact-sql?view=azuresqldb-current)",
  type: "action",
  version: "0.0.5",
  props: {
    app,
    query: {
      type: "string",
      label: "Query",
      description: "The SQL query to execute",
      default: "select * from mytable where id = @input_parameter",
    },
    inputs: {
      type: "object",
      label: "Inputs",
      description: "The inputs to the query. These will be available as @input_parameter in the query. For example, if you provide an input named 'id', you can use @id in the query.",
      optional: true,
    },
  },
  run({ $ }) {
    const {
      app,
      inputs,
      query,
    } = this;

    return app.executeQuery({
      $,
      query,
      inputs,
      summary: () => "Successfully executed query.",
    });
  },
};

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
Microsoft Azure SQL Database	`app`	`app`	This component uses the Microsoft Azure SQL Database app.
Query	`query`	`string`	The SQL query to execute
Inputs	`inputs`	`object`	The inputs to the query. These will be available as @input_parameter in the query. For example, if you provide an input named 'id', you can use @id in the query.

Action Authentication#

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

Before you connect to your Microsoft Azure SQL database from Pipedream, please make sure your database is either:

Accessible from the public internet (You may need to add a firewall rule on 0.0.0.0/0 on port 1433), or
Accessible from a static IP that you've configured from a VPC in Pipedream, and enabled the workflow to connect through that VPC