Create Multiple Records with Airtable API on New Records Returned by CloudWatch Logs Insights Query from AWS API

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New Records Returned by CloudWatch Logs Insights Query from the AWS 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 AWS trigger and Airtable action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Records Returned by CloudWatch Logs Insights Query trigger
1. Connect your AWS account
2. Select a AWS Region
3. Select one or more CloudWatch Log Groups
4. Configure Logs Insights Query
5. Optional- Configure Emit query results as a single event
6. Configure Polling schedule
Configure the Create Multiple Records action
1. Connect your Airtable account
2. Select a Base
3. Select a Table
4. Configure Records
5. Optional- Configure Typecast
6. Optional- Configure Return Fields By Field ID
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 Records Returned by CloudWatch Logs Insights Query on AWS

Description:Executes a CloudWatch Logs Insights query on a schedule, and emits the records as invidual events (default) or in batch

Version:0.2.2

Key:aws-new-records-returned-by-cloudwatch-logs-insights-query

View on GitHub

AWS Overview#

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Trigger Code#

import common from "../../common/common-cloudwatch-logs.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

export default {
  ...common,
  key: "aws-new-records-returned-by-cloudwatch-logs-insights-query",
  name: "New Records Returned by CloudWatch Logs Insights Query",
  // eslint-disable-next-line pipedream/source-description
  description: "Executes a CloudWatch Logs Insights query on a schedule, and emits the records as invidual events (default) or in batch",
  version: "0.2.2",
  type: "source",
  props: {
    aws: common.props.aws,
    region: common.props.region,
    db: "$.service.db",
    // eslint-disable-next-line pipedream/props-label
    logGroupNames: {
      ...common.props.logGroupName,
      type: "string[]",
      description: "The log groups you'd like to query",
    },
    queryString: {
      label: "Logs Insights Query",
      description: "The query you'd like to run. See [this AWS doc](https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/CWL_QuerySyntax.html) for help with query syntax",
      type: "string",
    },
    emitResultsInBatch: {
      type: "boolean",
      label: "Emit query results as a single event",
      description: "If `true`, all events are emitted as an array, within a single Pipedream event. If `false`, each row of results is emitted as its own event. Defaults to `true`",
      optional: true,
      default: true,
    },
    timer: {
      label: "Polling schedule",
      description: "How often you want to query CloudWatch Logs Insights for results",
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  async run() {
    const now = +new Date();
    const startTime = this.db.get("startTime") || now - 1000 * 60 * 60;

    // First, start the query
    const params = {
      queryString: this.queryString,
      startTime,
      endTime: now,
      logGroupNames: this.logGroupNames,
    };

    const { queryId } = await this.startQuery(params);

    // Then poll for its status, emitting each record as its own event when completed
    async function sleep(ms) {
      return new Promise((r) => setTimeout(r, ms));
    }

    let result, res;
    do {
      await sleep(1000);
      res = await this.getQueryResults({
        queryId,
      });
      result = res.status;
    } while (result === "Running" || result === "Scheduled");

    if (result !== "Complete") {
      throw new Error(`Query ${queryId} failed with status ${result}`);
    }

    console.log(JSON.stringify(res, null, 2));
    const { results } = res;

    if (!results || !results.length) {
      console.log("No results, exiting");
      this.db.set("startTime", now);
      return;
    }

    if (this.emitResultsInBatch === true) {
      this.$emit(results, {
        summary: JSON.stringify(results),
      });
    } else {
      for (const item of results) {
        this.$emit(item, {
          summary: JSON.stringify(item),
        });
      }
    }

    // The next time this source runs, query for data starting now
    this.db.set("startTime", now);
  },
};

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
AWS	`aws`	`app`	This component uses the AWS app.
AWS Region	`region`	`string`	Select a value from the drop down menu.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
CloudWatch Log Groups	`logGroupNames`	`string[]`	Select a value from the drop down menu.
Logs Insights Query	`queryString`	`string`	The query you'd like to run. See this AWS doc for help with query syntax
Emit query results as a single event	`emitResultsInBatch`	`boolean`	If `true`, all events are emitted as an array, within a single Pipedream event. If `false`, each row of results is emitted as its own event. Defaults to `true`
Polling schedule	`timer`	`$.interface.timer`	How often you want to query CloudWatch Logs Insights for results

Trigger Authentication#

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

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS#

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

Action#

Create Multiple Records on Airtable

Description:Create one or more records in a table by passing an array of objects containing field names and values as key/value pairs. [See the documentation](https://airtable.com/developers/web/api/create-records)

Version:0.0.7

Key:airtable_oauth-create-multiple-records

View on GitHub

Airtable Overview#

Airtable (OAuth) API on Pipedream allows you to manipulate and leverage your Airtable data in a myriad of powerful ways. Sync data between Airtable and other apps, trigger workflows on updates, or process bulk data operations asynchronously. By using Airtable's structured databases with Pipedream's serverless platform, you can craft custom automation solutions, integrate with other services seamlessly, and streamline complex data processes.

Action Code#

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

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

export default {
  key: "airtable_oauth-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. [See the documentation](https://airtable.com/developers/web/api/create-records)",
  version: "0.0.7",
  type: "action",
  props: {
    ...common.props,
    records: {
      propDefinition: [
        airtable,
        "records",
      ],
    },
    typecast: {
      propDefinition: [
        airtable,
        "typecast",
      ],
    },
    returnFieldsByFieldId: {
      propDefinition: [
        airtable,
        "returnFieldsByFieldId",
      ],
    },
  },
  async run({ $ }) {
    const baseId = this.baseId?.value ?? this.baseId;
    const tableId = this.tableId?.value ?? this.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 responses = [];
    for (const c of chunk(data, BATCH_SIZE)) {
      try {
        const records = await this.airtable.createRecord({
          baseId,
          tableId,
          data: c,
          opts: {
            typecast: this.typecast,
            returnFieldsByFieldId: this.returnFieldsByFieldId,
          },
        });
        responses.push(...records);
      } 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.

Label	Prop	Type	Description
Airtable	`airtable`	`app`	This component uses the Airtable app.
Base	`baseId`	`string`	Select a value from the drop down menu.
Table	`tableId`	`string`	Select a value from the drop down menu.
Records	`records`	`string`	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.
Typecast	`typecast`	`boolean`	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.
Return Fields By Field ID	`returnFieldsByFieldId`	`boolean`	An optional boolean value that lets you return field objects where the key is the field id. This defaults to `false`, which returns field objects where the key is the field name.

Action Authentication#

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

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

data.records:readdata.records:writedata.recordComments:readdata.recordComments:writeschema.bases:readschema.bases:writewebhook:manageuser.email:read

About Airtable#

Airtable is a low-code platform to build next-gen apps. Move beyond rigid tools, operationalize your critical data, and reimagine workflows with AI.

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Pipedream makes it easy to connect APIs for Airtable, AWS and 2,400+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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