Redshift - Query Database with AWS API on New Submission (Instant) from Jotform API

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New Submission (Instant) from the Jotform API

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Redshift - Query Database with the AWS API

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Getting Started#

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

Select this integration
Configure the New Submission (Instant) trigger
1. Connect your Jotform account
2. Optional- Select a Team
3. Select a Form
Configure the Redshift - Query Database action
1. Connect your AWS account
2. Configure info
3. Select a AWS Region
4. Select a Workgroup Name
5. Select a Database Name
6. Optional- Configure SELECT Columns Clause
7. Configure FROM Clause
8. Optional- Configure WHERE Clause
9. Optional- Configure Order By
10. Optional- Configure Limit
11. Optional- Configure Parameters For WHERE Clause
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 Submission (Instant) on Jotform

Description:Emit new event when a form is submitted

Version:0.1.6

Key:jotform-new-submission

View on GitHub

Jotform Overview#

Jotform’s API is a powerhouse for automating form and survey data management. With Pipedream, harness this API to trigger workflows from new form submissions, manipulate and analyze your form data, and sync it across various platforms. Think streamlined data entry to CRMs, instant notifications for new leads or feedback, and timely data backups to cloud storage.

Trigger Code#

import jotform from "../../jotform.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "jotform-new-submission",
  name: "New Submission (Instant)",
  description: "Emit new event when a form is submitted",
  version: "0.1.6",
  type: "source",
  dedupe: "unique",
  props: {
    jotform,
    http: "$.interface.http",
    teamId: {
      propDefinition: [
        jotform,
        "teamId",
      ],
    },
    formId: {
      propDefinition: [
        jotform,
        "formId",
        (c) => ({
          teamId: c.teamId,
          excludeDeleted: true,
        }),
      ],
    },
  },
  hooks: {
    async deploy() {
      const { content: form } = await this.jotform.getForm(this.formId, this.teamId);
      const { content: submissions } = await this.jotform.getFormSubmissions({
        formId: this.formId,
        teamId: this.teamId,
        params: {
          limit: 25,
          orderby: "created_at",
        },
      });
      for (let submission of submissions.reverse()) {
        const meta = {
          id: submission.id,
          summary: form.title,
          ts: Date.now(),
        };
        this.$emit(submission, meta);
      }
    },
    async activate() {
      return (await this.jotform.createHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
    async deactivate() {
      return (await this.jotform.deleteHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
  },
  async run(event) {
    const { body } = event;
    let { content: submission } = await this.jotform.getFormSubmission({
      submissionId: body.submissionID,
      teamId: this.teamId,
    });

    // insert answers from the webhook event
    const rawRequest = JSON.parse(body.rawRequest);
    for (const key of Object.keys(rawRequest)) {
      const regex = /^q(\d+)_/;
      const match = key.match(regex);
      if (match && match[1]) {
        submission.answers[match[1]].answer = rawRequest[key];
      }
    }

    this.$emit(submission, {
      summary: body.formTitle || JSON.stringify(body),
      id: body.submissionID,
      ts: Date.now(),
    });
  },
  sampleEmit,
};

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
Jotform	`jotform`	`app`	This component uses the Jotform app.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
Team	`teamId`	`string`	Select a value from the drop down menu.
Form	`formId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

About Jotform#

Jotform enables you to create online forms, collect responses directly in your email, and create fillable PDF forms.

Action#

Redshift - Query Database on AWS

Description:Run a SELECT query on a database. [See the documentation](https://docs.aws.amazon.com/redshift/latest/APIReference/API_ExecuteStatement.html)

Version:0.0.1

Key:aws-redshift-query-database

View on GitHub

AWS Overview#

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Action Code#

import app from "../../aws.app.mjs";
import {
  parseJson,
  parseArray,
} from "../../common/utils.mjs";

export default {
  key: "aws-redshift-query-database",
  name: "Redshift - Query Database",
  description: "Run a SELECT query on a database. [See the documentation](https://docs.aws.amazon.com/redshift/latest/APIReference/API_ExecuteStatement.html)",
  type: "action",
  version: "0.0.1",
  props: {
    app,
    info: {
      propDefinition: [
        app,
        "info",
      ],
    },
    region: {
      propDefinition: [
        app,
        "region",
      ],
    },
    workgroupName: {
      propDefinition: [
        app,
        "workgroupName",
        ({ region }) => ({
          region,
        }),
      ],
    },
    database: {
      propDefinition: [
        app,
        "database",
        ({
          region,
          workgroupName,
        }) => ({
          region,
          workgroupName,
        }),
      ],
    },
    columns: {
      type: "string[]",
      label: "SELECT Columns Clause",
      description: "List of columns to retrieve.",
      optional: true,
    },
    from: {
      type: "string",
      label: "FROM Clause",
      description: "The FROM clause to select from. e.g. `schema_name.table_name`",
    },
    where: {
      type: "string",
      label: "WHERE Clause",
      description: "The WHERE clause to filter rows. e.g. `id = :id`. Use named parameters to avoid SQL injection.",
      optional: true,
    },
    orderBy: {
      type: "string",
      label: "Order By",
      description: "Column to order the results by (e.g., `column_name ASC`, `column_name DESC`).",
      optional: true,
    },
    limit: {
      type: "integer",
      label: "Limit",
      description: "Maximum number of rows to return.",
      optional: true,
      default: 10,
    },
    sqlParameters: {
      propDefinition: [
        app,
        "sqlParameters",
      ],
    },
  },
  async run({ $ }) {
    const {
      region,
      workgroupName,
      database,
      columns: columnStrings,
      from,
      where,
      sqlParameters,
      orderBy,
      limit,
    } = this;

    const columns = parseArray(columnStrings);

    const effectiveColumns =
      columns?.length > 0
        ? columns.join(", ")
        : "*";

    let sql = `SELECT ${effectiveColumns} FROM ${from}`;

    if (where) {
      sql += ` WHERE ${where}`;
    }
    if (orderBy) {
      sql += ` ORDER BY ${orderBy}`;
    }
    if (limit) {
      sql += " LIMIT :limit";
    }
    const parameters = Object.entries({
      ...parseJson(sqlParameters),
      limit,
    })
      .map(([
        name,
        value,
      ]) => ({
        name,
        value: String(value),
      }));

    const response = await this.app.executeStatement({
      region,
      workgroupName,
      database,
      sql,
      parameters,
    });
    $.export("$summary", `Successfully found \`${response.TotalNumRows}\` row(s).`);
    return response;
  },
};

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
AWS	`app`	`app`	This component uses the AWS app.
AWS Region	`region`	`string`	Select a value from the drop down menu.
Workgroup Name	`workgroupName`	`string`	Select a value from the drop down menu.
Database Name	`database`	`string`	Select a value from the drop down menu.
SELECT Columns Clause	`columns`	`string[]`	List of columns to retrieve.
FROM Clause	`from`	`string`	The FROM clause to select from. e.g. `schema_name.table_name`
WHERE Clause	`where`	`string`	The WHERE clause to filter rows. e.g. `id = :id`. Use named parameters to avoid SQL injection.
Order By	`orderBy`	`string`	Column to order the results by (e.g., `column_name ASC`, `column_name DESC`).
Limit	`limit`	`integer`	Maximum number of rows to return.
Parameters For WHERE Clause	`sqlParameters`	`object`	An object with parameters to use in the WHERE clause. e.g. `{ "id": 1 }`

Action Authentication#

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

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS#

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

More Ways to Connect AWS + Jotform#

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Pipedream makes it easy to connect APIs for AWS, Jotform and 2,800+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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