← Google Cloud + Data Stores integrations

Delete a single record with Data Stores API on BigQuery - Query Results from Google Cloud API

Pipedream makes it easy to connect APIs for Data Stores, Google Cloud and 2,100+ other apps remarkably fast.

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BigQuery - Query Results from the Google Cloud API
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Delete a single record with the Data Stores API
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Getting Started

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

  1. Select this integration
  2. Configure the BigQuery - Query Results trigger
    1. Connect your Google Cloud account
    2. Configure Polling interval
    3. Configure Event Size
    4. Select a Dataset ID
    5. Configure SQL Query
    6. Optional- Configure De-duplication Key
  3. Configure the Delete a single record action
    1. Connect your Data Stores account
    2. Configure Data Store
    3. Select a Key
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new events with the results of an arbitrary query
Version:0.1.5
Key:google_cloud-bigquery-query-results

Google Cloud Overview

The Google Cloud API opens a world of possibilities for enhancing cloud operations and automating tasks. It empowers you to manage, scale, and fine-tune various services within the Google Cloud Platform (GCP) programmatically. With Pipedream, you can harness this power to create intricate workflows, trigger cloud functions based on events from other apps, manage resources, and analyze data, all in a serverless environment. The ability to interconnect GCP services with numerous other apps enriches automation, making it easier to synchronize data, streamline development workflows, and deploy applications efficiently.

Trigger Code

import crypto from "crypto";
import { v4 as uuidv4 } from "uuid";
import common from "../common/bigquery.mjs";

export default {
  ...common,
  key: "google_cloud-bigquery-query-results",
  // eslint-disable-next-line pipedream/source-name
  name: "BigQuery - Query Results",
  description: "Emit new events with the results of an arbitrary query",
  version: "0.1.5",
  dedupe: "unique",
  type: "source",
  props: {
    ...common.props,
    sqlQuery: {
      type: "string",
      label: "SQL Query",
      description: "Your SQL query",
    },
    dedupeKey: {
      type: "string",
      label: "De-duplication Key",
      description: `
        The name of a column in the table to use for deduplication. See [the
        docs](https://github.com/PipedreamHQ/pipedream/tree/master/components/google_cloud/sources/bigquery-query-results#technical-details)
        for more info.
      `,
      optional: true,
    },
  },
  methods: {
    ...common.methods,
    getQueryOpts() {
      return {
        query: this.sqlQuery,
      };
    },
    generateMeta(row, ts) {
      const { [this.dedupeKey]: id = uuidv4() } = row;
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
    generateMetaForCollection(rows, ts) {
      const hash = crypto.createHash("sha1");
      rows
        .map((i) => i[this.dedupeKey] || uuidv4())
        .map((i) => i.toString())
        .forEach((i) => hash.update(i));
      const id = hash.digest("base64");
      const summary = `New event (ID: ${id})`;
      return {
        id,
        summary,
        ts,
      };
    },
  },
};

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.
LabelPropTypeDescription
Google CloudgoogleCloudappThis component uses the Google Cloud app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Polling intervaltimer$.interface.timer

How often to run your query

Event SizeeventSizeinteger

The number of rows to include in a single event (by default, emits 1 event per row)

Dataset IDdatasetIdstringSelect a value from the drop down menu.
SQL QuerysqlQuerystring

Your SQL query

De-duplication KeydedupeKeystring
    The name of a column in the table to use for deduplication. See [the
    docs](https://github.com/PipedreamHQ/pipedream/tree/master/components/google_cloud/sources/bigquery-query-results#technical-details)
    for more info.
  

Trigger Authentication

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

  1. Create a service account in GCP and set the permissions you need for Pipedream workflows.

  2. Generate a service account key

  3. Download the key details in JSON format

  4. Open the JSON in a text editor, and copy and paste its contents here.

About Google Cloud

The Google Cloud Platform, including BigQuery

Action

Description:Delete a single record in your [Pipedream Data Store](https://pipedream.com/data-stores/).
Version:0.0.8
Key:data_stores-delete-single-record

Data Stores Overview

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Action Code

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

export default {
  key: "data_stores-delete-single-record",
  name: "Delete a single record",
  description: "Delete a single record in your [Pipedream Data Store](https://pipedream.com/data-stores/).",
  version: "0.0.8",
  type: "action",
  props: {
    app,
    dataStore: {
      propDefinition: [
        app,
        "dataStore",
      ],
    },
    key: {
      propDefinition: [
        app,
        "key",
        ({ dataStore }) => ({
          dataStore,
        }),
      ],
      description: "Select the key for the record you'd like to delete, or enter one manually.",
    },
  },
  async run({ $ }) {
    const record = await this.dataStore.get(this.key);

    if (record) {
      await this.dataStore.delete(this.key);
      $.export("$summary", `Successfully deleted the record for key, \`${this.key}\`.`);
      return record;
    }

    $.export("$summary", `No record found for key, \`${this.key}\`. No data was deleted.`);
  },
};

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.

LabelPropTypeDescription
Data StoresappappThis component uses the Data Stores app.
Data StoredataStoredata_store

Select an existing Data Store or create a new one.

KeykeystringSelect a value from the drop down menu.

Action Authentication

The Data Stores API does not require authentication.

About Data Stores

Use Pipedream Data Stores to manage state throughout your workflows.

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