← Google Cloud + Airtable integrations

Create Multiple Records with Airtable 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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Create Multiple Records with the Airtable API
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Getting Started

This integration creates a workflow with a Google Cloud trigger and Airtable 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 - 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
  3. Configure the Create Multiple Records action
    1. Connect your Airtable account
    2. Select a Base
    3. Select a Table
    4. Configure Records
    5. Configure Typecast
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, open source 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 when a new row is added to a table
Version:0.1.3
Key:google_cloud-bigquery-new-row

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: "0.1.3",
  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.
LabelPropTypeDescription
Google CloudgoogleCloudappThis component uses the Google Cloud app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between component invocations.
Polling intervaltimer$.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.
Table NametableIdstringSelect a value from the drop down menu.
Unique KeyuniqueKeystringSelect 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.

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

Action

Description:Create one or more records in a table by passing an array of objects containing field names and values as key/value pairs.
Version:0.2.0
Key:airtable-create-multiple-records

Action Code

import chunk from "lodash.chunk";
import airtable from "../../airtable.app.mjs";
import common from "../common.mjs";

const BATCH_SIZE = 10; // The Airtable API allows us to update up to 10 rows per request.

export default {
  key: "airtable-create-multiple-records",
  name: "Create Multiple Records",
  description: "Create one or more records in a table by passing an array of objects containing field names and values as key/value pairs.",
  version: "0.2.0",
  type: "action",
  props: {
    ...common.props,
    records: {
      propDefinition: [
        airtable,
        "records",
      ],
    },
    typecast: {
      propDefinition: [
        airtable,
        "typecast",
      ],
    },
  },
  async run({ $ }) {
    const baseId = this.baseId?.value ?? this.baseId;
    const tableId = this.tableId?.value ?? this.tableId;

    const table = this.airtable.base(baseId)(tableId);

    let data = this.records;
    if (!Array.isArray(data)) {
      data = JSON.parse(data);
    }
    data = data.map((fields) => ({
      fields,
    }));
    if (!data.length) {
      throw new Error("No Airtable record data passed to step. Please pass at least one record");
    }

    const params = {
      typecast: this.typecast,
    };

    const responses = [];
    for (const c of chunk(data, BATCH_SIZE)) {
      try {
        responses.push(...(await table.create(c, params)));
      } catch (err) {
        this.airtable.throwFormattedError(err);
      }
    }

    const l = responses.length;
    $.export("$summary", `Added ${l} record${l === 1
      ? ""
      : "s"} to ${this.baseId?.label || baseId}: [${this.tableId?.label || tableId}](https://airtable.com/${baseId}/${tableId})`);

    return responses;
  },
};

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
AirtableairtableappThis component uses the Airtable app.
BasebaseIdstringSelect a value from the drop down menu.
TabletableIdstringSelect a value from the drop down menu.
Recordsrecordsstring

Provide an array of objects. Each object should represent a new record with the column name as the key and the data to insert as the corresponding value (e.g., passing [{"foo":"bar","id":123},{"foo":"baz","id":456}] will create two records and with values added to the fields foo and id). The most common pattern is to reference an array of objects 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 objects.

Typecasttypecastboolean

The Airtable API will perform best-effort automatic data conversion from string values if the typecast parameter is True. Automatic conversion is disabled by default to ensure data integrity, but it may be helpful for integrating with 3rd party data sources.

Action Authentication

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

Visit your account settings, copy your API key, and enter it below. If you only need to read data from Airtable, and not modify it, you can generate a read-only API key.


get airtable api key

About Airtable

Looks like a spreadsheet, acts like a database.

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