Insert Multiple Rows with Snowflake API on New Issue Event (Instant) from Sentry API

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New Issue Event (Instant) from the Sentry API

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Insert Multiple Rows with the Snowflake API

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Getting Started#

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

Select this integration
Configure the New Issue Event (Instant) trigger
1. Connect your Sentry account
2. Select a Organization
Configure the Insert Multiple Rows action
1. Connect your Snowflake account
2. Select a Database
3. Select a Schema
4. Select a Table Name
5. Select one or more Columns
6. Configure Row Values
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 Issue Event (Instant) on Sentry

Description:Emit new events for issues that have been created or updated.

Version:0.1.1

Key:sentry-issue-event

View on GitHub

Sentry Overview#

The Sentry API on Pipedream allows you to automate error tracking and responses in your applications. Sentry's robust issue tracking and release monitoring align with Pipedream's ability to craft custom workflows, enabling developers to connect error alerts to a plethora of other services for notifications, analysis, task management, and more. With Sentry's detailed diagnostic data, these workflows can help reduce downtime by triggering quick actions upon issue detection.

Trigger Code#

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

export default {
  key: "sentry-issue-event",
  version: "0.1.1",
  name: "New Issue Event (Instant)",
  description: "Emit new events for issues that have been created or updated.",
  type: "source",
  props: {
    db: "$.service.db",
    http: {
      type: "$.interface.http",
      customResponse: true,
    },
    sentry,
    organizationSlug: {
      propDefinition: [
        sentry,
        "organizationSlug",
      ],
    },
  },
  hooks: {
    async activate() {
      const { slug: integrationSlug } = await this.sentry.createIntegration(
        this.getEventSourceName(),
        this.organizationSlug,
        this.http.endpoint,
      );
      this._setIntegrationSlug(integrationSlug);

      const clientSecret = await this.sentry.getClientSecret(integrationSlug);
      this._setClientSecret(clientSecret);
    },
    async deactivate() {
      const integrationSlug = this._getIntegrationSlug();
      await this.sentry.disableIntegration(integrationSlug);
    },
  },
  methods: {
    _setIntegrationSlug(integrationSlug) {
      this.db.set("integrationSlug", integrationSlug);
    },
    _getIntegrationSlug() {
      return this.db.get("integrationSlug");
    },
    _setClientSecret(clientSecret) {
      this.db.set("clientSecret", clientSecret);
    },
    _getClientSecret() {
      return this.db.get("clientSecret");
    },
    getEventSourceName() {
      return "Issue Event (Instant)";
    },
  },
  async run(event) {
    const clientSecret = this._getClientSecret();
    if (!this.sentry.isValidSource(event, clientSecret)) {
      this.http.respond({
        statusCode: 404,
      });
      return;
    }

    this.http.respond({
      statusCode: 200,
    });

    const {
      body, body: { data: { issue } },
    } = event;

    this.$emit(body, {
      id: issue.id,
      summary: issue.title,
      ts: Date.parse(issue.lastSeen),
    });
  },
};

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
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.
Sentry	`sentry`	`app`	This component uses the Sentry app.
Organization	`organizationSlug`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

About Sentry#

Sentry offers self-hosted and cloud-based application performance monitoring & error tracking that helps software teams see clearer, solve quicker, & learn continuously.

Action#

Insert Multiple Rows on Snowflake

Description:Insert multiple rows into a table

Version:0.1.2

Key:snowflake-insert-multiple-rows

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.

Action Code#

import snowflake from "../../snowflake.app.mjs";
import { ConfigurationError } from "@pipedream/platform";

export default {
  type: "action",
  key: "snowflake-insert-multiple-rows",
  name: "Insert Multiple Rows",
  description: "Insert multiple rows into a table",
  version: "0.1.2",
  props: {
    snowflake,
    database: {
      propDefinition: [
        snowflake,
        "database",
      ],
    },
    schema: {
      propDefinition: [
        snowflake,
        "schema",
        (c) =>  ({
          database: c.database,
        }),
      ],
    },
    tableName: {
      propDefinition: [
        snowflake,
        "tableName",
        (c) => ({
          database: c.database,
          schema: c.schema,
        }),
      ],
      description: "The table where you want to add rows",
    },
    columns: {
      propDefinition: [
        snowflake,
        "columns",
        (c) => ({
          tableName: c.tableName,
        }),
      ],
    },
    values: {
      propDefinition: [
        snowflake,
        "values",
      ],
    },
  },
  async run({ $ }) {
    let rows = this.values;

    let inputValidated = true;

    if (!Array.isArray(rows)) {
      rows = JSON.parse(rows);
    }

    if (!rows || !rows.length || !Array.isArray(rows)) {
      inputValidated = false;
    } else {
      rows.forEach((row) => { if (!Array.isArray(row)) { inputValidated = false; } });
    }

    // Throw an error if input validation failed
    if (!inputValidated) {
      throw new ConfigurationError("The row data you passed is not an array of arrays. Please enter an array of arrays in the `Values` parameter above. If you're trying to add a single row to Snowflake, select the **Insert Single Row** action.");
    }

    const response = await this.snowflake.insertRows(this.tableName, this.columns, this.values);
    $.export("$summary", `Successfully inserted ${this.values.length} rows in ${this.tableName}`);
    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
Snowflake	`snowflake`	`app`	This component uses the Snowflake app.
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.
Columns	`columns`	`string[]`	Select a value from the drop down menu.
Row Values	`values`	`string`	Provide an array of arrays. Each nested array should represent a row, with each element of the nested array representing a value (e.g., passing `[["Foo",1,2],["Bar",3,4]]` will insert two rows of data with three columns each). The most common pattern is to reference an array of arrays exported by a previous step (e.g., `{{steps.foo.$return_value}}`). You may also enter or construct a string that will `JSON.parse()` to an array of arrays.