Create Export with Gigasheet 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 Export with the Gigasheet API

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Getting Started#

This integration creates a workflow with a AWS trigger and Gigasheet 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 Export action
1. Connect your Gigasheet account
2. Select a Handle
3. Optional- Configure File name
4. Optional- Configure Folder Handle
5. Configure Grid State
6. Optional- Configure Records per File
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 Export on Gigasheet

Description:Creates an export for a gigasheet dataset. [See the documentation](https://gigasheet.readme.io/reference/post_dataset-handle-export)

Version:0.0.1

Key:gigasheet-create-export

View on GitHub

Gigasheet Overview#

The Gigasheet API enables users to manipulate large-scale data sheets within the cloud effortlessly. Through Pipedream, you can leverage this functionality to automate data analysis, manipulation, and enrichment workflows. By connecting Gigasheet with other apps, you can streamline processes like data import, transformation, and sharing, making Pipedream an ideal platform to enhance productivity and data handling efficiency.

Action Code#

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

export default {
  key: "gigasheet-create-export",
  name: "Create Export",
  description: "Creates an export for a gigasheet dataset. [See the documentation](https://gigasheet.readme.io/reference/post_dataset-handle-export)",
  version: "0.0.1",
  type: "action",
  props: {
    gigasheet,
    handle: {
      propDefinition: [
        gigasheet,
        "handle",
      ],
      description: "The handle of the dataset you want to export",
    },
    filename: {
      type: "string",
      label: "File name",
      optional: true,
    },
    folderHandle: {
      propDefinition: [
        gigasheet,
        "folderHandle",
      ],
      description: "Folder handle of the uploaded file",
    },
    gridState: {
      type: "object",
      label: "Grid State",
      description: "Grid state object. Values will be attempted to be parsed as JSON strings. [See the documentation](https://gigasheet.readme.io/reference/post_dataset-handle-export) for valid properties.",
    },
    recordsPerFile: {
      type: "integer",
      label: "Records per File",
      optional: true,
    },
  },
  async run({ $ }) {
    const {
      handle,
      filename,
      folderHandle,
      gridState,
      recordsPerFile,
    } = this;

    Object.entries(gridState).forEach(([
      key,
      value,
    ]) => {
      try {
        gridState[key] = JSON.parse(value);
      } catch (err) {
        // values may be JSON strings, but not necessarily
      }
    });

    const response = await this.gigasheet.createExport({
      $,
      handle,
      data: {
        filename,
        folderHandle,
        gridState,
        recordsPerFile,
      },
    });
    $.export("$summary", "Successfully created export");
    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
Gigasheet	`gigasheet`	`app`	This component uses the Gigasheet app.
Handle	`handle`	`string`	Select a value from the drop down menu.
File name	`filename`	`string`
Folder Handle	`folderHandle`	`string`	Folder handle of the uploaded file
Grid State	`gridState`	`object`	Grid state object. Values will be attempted to be parsed as JSON strings. See the documentation for valid properties.
Records per File	`recordsPerFile`	`integer`

Action Authentication#

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

About Gigasheet#

The big data spreadsheet that combines database power with cloud scale.

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Pipedream makes it easy to connect APIs for Gigasheet, 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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