Query SQL Database with Database API on Ticket Pending (Instant) from Zendesk API

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Trigger workflow on

Ticket Pending (Instant) from the Zendesk 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 Zendesk 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 Ticket Pending (Instant) trigger
1. Connect your Zendesk account
2. Select a Trigger Category ID
3. Optional- Configure Custom Subdomain
4. Optional- Select one or more Fields
5. Optional- Configure JSON Body
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#

Ticket Pending (Instant) on Zendesk

Description:Emit new event when a ticket has changed to pending status

Version:0.2.2

Key:zendesk-ticket-pended

View on GitHub

Zendesk Overview#

The Zendesk API enables seamless integration of Zendesk's customer service platform with your existing business processes and third-party applications. By leveraging this API with Pipedream, you can automate ticket tracking, sync customer data, escalate issues, and streamline communication across multiple channels. This can significantly increase efficiency, accelerate response times, and enhance the overall customer experience. Automations can range from simple notifications to complex workflows involving data transformation and multi-step actions across various services.

Trigger Code#

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

export default {
  ...common,
  name: "Ticket Pending (Instant)",
  key: "zendesk-ticket-pended",
  type: "source",
  description: "Emit new event when a ticket has changed to pending status",
  version: "0.2.2",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getWebhookName() {
      return "Ticket Pending Webhook";
    },
    getTriggerTitle() {
      return "Ticket Pending Trigger";
    },
    getTriggerConditions() {
      return {
        all: [
          {
            field: "update_type",
            value: "Change",
          },
          {
            field: "status",
            operator: "value",
            value: "pending",
          },
        ],
      };
    },
  },
};

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
Zendesk	`app`	`app`	This component uses the Zendesk app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
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.
Trigger Category ID	`categoryId`	`string`	Select a value from the drop down menu.
Custom Subdomain	`customSubdomain`	`string`	For Enterprise Zendesk accounts: optionally specify the subdomain to use. This will override the subdomain that was provided when connecting your Zendesk account to Pipedream. For example, if you Zendesk URL is https://examplehelp.zendesk.com, your subdomain is `examplehelp`
Fields	`fields`	`string[]`	Select a value from the drop down menu.
JSON Body	`jsonBody`	`string`	Custom JSON Body of the incoming payload. Setting `jsonBody` will overwrite the `fields` prop

Trigger Authentication#

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

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

triggers:writewebhooks:writereadtickets:writetickets:readusers:writeorganizations:readorganizations:write

About Zendesk#

Zendesk is award-winning customer service software trusted by 200K+ customers. Make customers happy via text, mobile, phone, email, live chat, social media.

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" }`