Add or update multiple records with Data Stores API on BigQuery - New Row from Google Cloud API

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BigQuery - New Row from the Google Cloud API

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Add or update multiple records 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.

Select this integration
Configure the BigQuery - New Row trigger
1. Connect your Google Cloud account
2. Configure Polling interval
3. Configure Event Size
4. Select a Dataset ID
5. Select a Table Name
6. Select a Unique Key
Configure the Add or update multiple records action
1. Connect your Data Stores account
2. Configure Data Store
3. Configure Data
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#

BigQuery - New Row on Google Cloud

Description:Emit new events when a new row is added to a table

Version:0.1.6

Key:google_cloud-bigquery-new-row

View on GitHub

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 { isString } from "lodash-es";
import googleCloud from "../../google_cloud.app.mjs";
import common from "../common/bigquery.mjs";

export default {
  ...common,
  key: "google_cloud-bigquery-new-row",
  // eslint-disable-next-line pipedream/source-name
  name: "BigQuery - New Row",
  description: "Emit new events when a new row is added to a table",
  version: "0.1.6",
  dedupe: "unique",
  type: "source",
  props: {
    ...common.props,
    tableId: {
      propDefinition: [
        googleCloud,
        "tableId",
        ({ datasetId }) => ({
          datasetId,
        }),
      ],
    },
    uniqueKey: {
      type: "string",
      label: "Unique 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-new-row#technical-details) for more info.",
      async options(context) {
        const { page } = context;
        if (page !== 0) {
          return [];
        }

        const columnNames = await this._getColumnNames();
        return columnNames.sort();
      },
    },
  },
  hooks: {
    ...common.hooks,
    async deploy() {
      await this._validateColumn(this.uniqueKey);
      const lastResultId = await this._getIdOfLastRow(this.getInitialEventCount());
      this._setLastResultId(lastResultId);
    },
    async activate() {
      if (this._getLastResultId()) {
        // ID of the last result has already been initialised during deploy(),
        // so we skip the rest of the activation.
        return;
      }

      await this._validateColumn(this.uniqueKey);
      const lastResultId = await this._getIdOfLastRow();
      this._setLastResultId(lastResultId);
    },
    deactivate() {
      this._setLastResultId(null);
    },
  },
  methods: {
    ...common.methods,
    _getLastResultId() {
      return this.db.get("lastResultId");
    },
    _setLastResultId(lastResultId) {
      this.db.set("lastResultId", lastResultId);
      console.log(`
        Next scan of table '${this.tableId}' will start at ${this.uniqueKey}=${lastResultId}
      `);
    },
    /**
     * Utility method to make sure that a certain column exists in the target
     * table. Useful for SQL query sanitizing.
     *
     * @param {string} columnNameToValidate The name of the column to validate
     * for existence
     */
    async _validateColumn(columnNameToValidate) {
      if (!isString(columnNameToValidate)) {
        throw new Error("columnNameToValidate must be a string");
      }

      const columnNames = await this._getColumnNames();
      if (!columnNames.includes(columnNameToValidate)) {
        throw new Error(`Nonexistent column: ${columnNameToValidate}`);
      }
    },
    async _getColumnNames() {
      const table = this.googleCloud
        .getBigQueryClient()
        .dataset(this.datasetId)
        .table(this.tableId);
      const [
        metadata,
      ] = await table.getMetadata();
      const { fields } = metadata.schema;
      return fields.map(({ name }) => name);
    },
    async _getIdOfLastRow(offset = 0) {
      const limit = offset + 1;
      const query = `
        SELECT *
        FROM \`${this.tableId}\`
        ORDER BY \`${this.uniqueKey}\` DESC
        LIMIT @limit
      `;
      const queryOpts = {
        query,
        params: {
          limit,
        },
      };
      const rows = await this.getRowsForQuery(queryOpts, this.datasetId);
      if (rows.length === 0) {
        console.log(`
          No records found in the target table, will start scanning from the beginning
        `);
        return;
      }

      const startingRow = rows.pop();
      return startingRow[this.uniqueKey];
    },
    getQueryOpts() {
      const lastResultId = this._getLastResultId();
      const query = `
        SELECT *
        FROM \`${this.tableId}\`
        WHERE \`${this.uniqueKey}\` >= @lastResultId
        ORDER BY \`${this.uniqueKey}\` ASC
      `;
      const params = {
        lastResultId,
      };
      return {
        query,
        params,
      };
    },
    generateMeta(row, ts) {
      const id = row[this.uniqueKey];
      const summary = `New row: ${id}`;
      return {
        id,
        summary,
        ts,
      };
    },
    generateMetaForCollection(rows, ts) {
      const hash = crypto.createHash("sha1");
      rows
        .map((i) => i[this.uniqueKey])
        .map((i) => i.toString())
        .forEach((i) => hash.update(i));
      const id = hash.digest("base64");

      const rowCount = rows.length;
      const entity = rowCount === 1
        ? "row"
        : "rows";
      const summary = `${rowCount} new ${entity}`;

      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.

Label	Prop	Type	Description
Google Cloud	`googleCloud`	`app`	This component uses the Google Cloud app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling interval	`timer`	`$.interface.timer`	How often to run your query
Event Size	`eventSize`	`integer`	The number of rows to include in a single event (by default, emits 1 event per row)
Dataset ID	`datasetId`	`string`	Select a value from the drop down menu.
Table Name	`tableId`	`string`	Select a value from the drop down menu.
Unique Key	`uniqueKey`	`string`	Select a value from the drop down menu.

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.

Create a service account in GCP and set the permissions you need for Pipedream workflows.
Generate a service account key
Download the key details in JSON format
Open the JSON in a text editor, and copy and paste its contents here.

About Google Cloud#

The Google Cloud Platform, including BigQuery

Action#

Add or update multiple records on Data Stores

Description:Add or update multiple records to your [Pipedream Data Store](https://pipedream.com/data-stores/).

Version:0.0.6

Key:data_stores-add-update-multiple-records

View on GitHub

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-add-update-multiple-records",
  name: "Add or update multiple records",
  description: "Add or update multiple records to your [Pipedream Data Store](https://pipedream.com/data-stores/).",
  version: "0.0.6",
  type: "action",
  props: {
    app,
    dataStore: {
      propDefinition: [
        app,
        "dataStore",
      ],
    },
    data: {
      label: "Data",
      type: "object",
      description: "Enter data you'd like to add as key-value pairs, or reference an object from a previous step using a custom expression (e.g., `{{steps.data.$return_value}}`). Note that any keys that are duplicated will get overwritten with the last value entered (so `[{jerry: \"constanza\", jerry: \"seinfeld\"}]` will get stored as `[{jerry: \"seinfeld\"}]`).",
    },
  },
  methods: {
    /**
     * Tries to convert a string to a JSON object or a primitive value.
     * @param {any} value Value to be converted
     * @returns The converted value
     */
    convertString(value) {
      // If type is already primitive non string, return it
      const primitives = [
        "boolean",
        "number",
      ];
      if (primitives.includes(typeof value)) {
        return value;
      }

      // Tries to convert string to possible other primitive types
      if (typeof value === "string") {
        // Convert boolean
        if (value.toLowerCase() === "true") {
          return true;
        }
        if (value.toLowerCase() === "false") {
          return false;
        }

        // Convert number
        if (!isNaN(value)) {
          return parseFloat(value);
        }
      }

      return this.app.evaluate(value);
    },
    /**
     * Add all the key-value pairs in the map object to be used in the data store
     * @param {*} data Data to be parsed
     * @param {Map} map Hashmap to be updated
     */
    populateHashMapOfData(data, map) {
      if (!Array.isArray(data) && typeof(data) === "object") {
        Object.keys(data).forEach((key) => map[key] = this.convertString(data[key]));
        return;
      }

      if (Array.isArray(data)) {
        for (const item of data) {
          this.populateHashMapOfData(item, map);
        }
      }
    },
    getHashMapOfData(data) {
      const map = {};
      this.populateHashMapOfData(data, map);
      return map;
    },
  },
  async run({ $ }) {
    if (typeof this.data === "string") {
      this.data = this.app.evaluate(this.data);
    }
    const map = this.getHashMapOfData(this.data);
    const keys = Object.keys(map);
    const promises = Object.keys(map).map((key) => this.dataStore.set(key, map[key]));
    await Promise.all(promises);
    if (keys.length === 0) {
      $.export("$summary", "No data was added to the data store.");
    } else {
      // eslint-disable-next-line multiline-ternary
      $.export("$summary", `Successfully added or updated ${keys.length} record${keys.length === 1 ? "" : "s"}`);
    }
    return map;
  },
};

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
Data Stores	`app`	`app`	This component uses the Data Stores app.
Data Store	`dataStore`	`data_store`	Select an existing Data Store or create a new one.
Data	`data`	`object`	Enter data you'd like to add as key-value pairs, or reference an object from a previous step using a custom expression (e.g., `{{steps.data.$return_value}}`). Note that any keys that are duplicated will get overwritten with the last value entered (so `[{jerry: "constanza", jerry: "seinfeld"}]` will get stored as `[{jerry: "seinfeld"}]`).