firehose | Build realtime Ruby web applications | Application Framework library

 by   firehoseio Ruby Version: Current License: MIT

kandi X-RAY | firehose Summary

kandi X-RAY | firehose Summary

firehose is a Ruby library typically used in Server, Application Framework, Ruby On Rails applications. firehose has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Firehose is both a Rack application and JavaScript library that makes building real-time web applications possible.
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            kandi-support Support

              firehose has a low active ecosystem.
              It has 721 star(s) with 76 fork(s). There are 41 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 13 open issues and 34 have been closed. On average issues are closed in 103 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of firehose is current.

            kandi-Quality Quality

              firehose has 0 bugs and 0 code smells.

            kandi-Security Security

              firehose has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              firehose code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              firehose is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              firehose releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              firehose saves you 1295 person hours of effort in developing the same functionality from scratch.
              It has 2908 lines of code, 193 functions and 50 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed firehose and discovered the below as its top functions. This is intended to give you an instant insight into firehose implemented functionality, and help decide if they suit your requirements.
            • Publishes a message to the destination server .
            • Start a new metric
            • Create a new server
            • Saves the metrics to Redis .
            • Consume a resource .
            • Get metric thresholds
            • Generate javascript code
            Get all kandi verified functions for this library.

            firehose Key Features

            No Key Features are available at this moment for firehose.

            firehose Examples and Code Snippets

            No Code Snippets are available at this moment for firehose.

            Community Discussions

            QUESTION

            How can AWS Kinesis Firehose lambda send update and delete requests to ElasticSearch?
            Asked 2022-Mar-03 at 17:39

            I'm not seeing how an AWS Kinesis Firehose lambda can send update and delete requests to ElasticSearch (AWS OpenSearch service).

            Elasticsearch document APIs provides for CRUD operations: https://www.elastic.co/guide/en/elasticsearch/reference/current/docs.html

            The examples I've found deals with the Create case, but doesn't show how to do delete or update requests. https://aws.amazon.com/blogs/big-data/ingest-streaming-data-into-amazon-elasticsearch-service-within-the-privacy-of-your-vpc-with-amazon-kinesis-data-firehose/ https://github.com/amazon-archives/serverless-app-examples/blob/master/python/kinesis-firehose-process-record-python/lambda_function.py

            The output format in the examples do not show a way to specify create, update or delete requests:

            ...

            ANSWER

            Answered 2022-Mar-03 at 04:20

            Firehose uses lambda function to transform records before they are being delivered to the destination in your case OpenSearch(ES) so they are only used to modify the structure of the data but can't be used to influence CRUD actions. Firehose can only insert records into a specific index. If you need a simple option to remove records from ES index after a certain period of time have a look at "Index rotation" option when specifying destination for your Firehose stream.

            If you want to use CRUD actions with ES and keep using Firehose I would suggest to send records to S3 bucket in the raw format and then trigger a lambda function on object upload event that will perform a CRUD action depending on fields in your payload.

            A good example of performing CRUD actions against ES from lambda https://github.com/chankh/ddb-elasticsearch/blob/master/src/lambda_function.py

            This particular example is built to send data from DynamoDB streams into ES but it should be a good starting point for you

            Source https://stackoverflow.com/questions/71326537

            QUESTION

            Is there a way to set up AWS Kinesis Firehose to write one record per S3 object?
            Asked 2021-Dec-20 at 21:44

            So I am very aware of this other thread that asks the same question: Configure Firehose so it writes only one record per S3 object?

            However, that was two years ago and Amazon is constantly adding/changing things. Is this answer still valid or is there now a way to configure firehose to do this?

            ...

            ANSWER

            Answered 2021-Dec-20 at 21:44

            Sadly there is not. It still writes entire content of its buffer to s3. You would have to setup lambda transaction for the records and do the writing yourself using the lambda function.

            Source https://stackoverflow.com/questions/70427922

            QUESTION

            Kinesis Firehose HTTP_Endpoint destination Response format
            Asked 2021-Nov-16 at 17:04

            What is the right format of the Response for Kinesis Firehose with http_endpoint as destination. Have already gone through the aws link: https://docs.aws.amazon.com/firehose/latest/dev/httpdeliveryrequestresponse.html#responseformat

            I have used the below lambda code in python(integrated in api) as well as with many other options, but keep getting the below error message. The test is performed using the "Test with Demo Data" option

            sample code:

            ...

            ANSWER

            Answered 2021-Nov-16 at 17:04

            Here is the sample output that worked(in python):

            Source https://stackoverflow.com/questions/69984579

            QUESTION

            AWS boto3 append/delete parameter in put_subscription_filter
            Asked 2021-Nov-10 at 21:15

            I am subscribing cloudwatch logs from 2 environments(dev and prd) to the same firehose (dev). Dev logs get subscribed to dev firehose, prd logs get subscribed to Destination resource in dev which then stream logs to the same firehose. The boto calls to do it are almost identical.

            This is the code to subscribe to firehose:

            ...

            ANSWER

            Answered 2021-Nov-10 at 21:15

            Spent few days but figured it out. You can use **kwargs to pass arguments like this

            Source https://stackoverflow.com/questions/69860278

            QUESTION

            Why do I get a "No Export Named" error when using nested stacks in CloudFormation?
            Asked 2021-Oct-14 at 16:07

            I'm defining an export in a CloudFormation template to be used in another.

            I can see the export is being created in the AWS console however, the second stack fails to find it.

            The error:

            ...

            ANSWER

            Answered 2021-Oct-14 at 16:04

            the second stack fails to find it

            This is because nested CloudFormation stacks are created in parallel by default.

            This means that if one of your child stacks - e.g. the stack which contains KinesisFirehoseRole - is importing the output from another child stack - e.g. the stack which contains KinesisStream - then the stack creation will fail.

            This is because as they're created in parallel, how does CloudFormation ensure that the export value has been exported by the time another child stack created is importing it?

            To fix this, use the DependsOn attribute on the stack which contains KinesisFirehoseRole.

            This should point to the stack which contains KinesisStream as KinesisFirehoseRole has a dependency on it.

            DependsOn makes this dependency explicit and will ensure correct stack creation order.

            Something like this should work:

            Source https://stackoverflow.com/questions/69573472

            QUESTION

            Does AWS Kinesis Firehose stream overrides a LOCK on table
            Asked 2021-Oct-07 at 15:22

            I started a transaction on my redshift table like this

            ...

            ANSWER

            Answered 2021-Oct-07 at 15:22

            I suspect that your bench may be in "autocommit" mode and a COMMIT is being send at the end of each run block of code. This will end your transaction and release the lock. Can you confirm that your lock is still in place by viewing it from another session?

            There are other ways that the lock was released, like a conflict being resolved, but you would have seen an error message in your bench if this was the case. Seeing which locks are in place during your firehose execution would be the direct way to detect what is happening.

            Source https://stackoverflow.com/questions/69482523

            QUESTION

            How to reference SSM parameter in another template
            Asked 2021-Oct-07 at 00:04

            If defining a SSM parameter in cloud formation one template like this

            ...

            ANSWER

            Answered 2021-Oct-07 at 00:04

            Generally there are two choices:

            1. Export the arn of your KinesisStreamARNParameter in the outputs. Then use ImportValue to reference it your second template.

            2. Pass the arn as an input parameter to your second template. This will require you to manually provide the value when you deploy the second template, or create some automation wrapper that will populate that value for you before deployment.

            Source https://stackoverflow.com/questions/69473031

            QUESTION

            Kinesis Firehose delivers data from DynamoDB Steam to S3: Why the numbers of JSON objects in files is different?
            Asked 2021-Oct-06 at 05:43

            I'm new to AWS, and I'm working on archiving data from DynamoDB to S3. This is my solution and I have done the pipeline.

            DynamoDB -> DynamoDB TTL + DynamoDB Stream -> Lambda -> Kinesis Firehose -> S3

            But I found that the files in S3 has different number of JSON objects. Some files has 7 JSON objects, some has 6 or 4 objects. I have done ETL in lambda, the S3 only saves REMOVE item, and the JSON has been unmarshall.

            I thought it would be a JSON object in a file, since the TTL value is different for each item, and the lambda would deliver the item immediately when the item is deleted by TTL.

            Does it because the Kinesis Firehose batches the items? (It would wait for sometime after collecting more items then saving them to a file) Or there's other reason? Could I estimate how many files it will save if DynamoDB has a new item is deleted by TTL every 5 minutes?

            Thank you in advance.

            ...

            ANSWER

            Answered 2021-Oct-06 at 05:43

            Kinesis Firehose splits your data based on buffer size or interval.

            Let's say you have a buffer size of 1MB and an interval of 1 minute. If you receive less than 1MB within the 1 minute interval, Kinesis Firehose will anyway create a batch file out of the received data, even if it is less than 1MB of data.

            This is likely happening in scenarios with few data arriving. You can adjust your buffer size and interval to your needs. E.g. You could increase the interval to collect more items within a single batch.

            You can choose a buffer size of 1–128 MiBs and a buffer interval of 60–900 seconds. The condition that is satisfied first triggers data delivery to Amazon S3.

            From the AWS Kinesis Firehose Docs: https://docs.aws.amazon.com/firehose/latest/dev/create-configure.html

            Source https://stackoverflow.com/questions/69460307

            QUESTION

            Pinpoint does not send event data to Kinesis
            Asked 2021-Oct-02 at 18:59

            I want to use personalize for my app recommendation model. To get my Current apps analytics data. I have connected pinpoint to get the data with the help of kinesis firehose as explain in this documentation.

            But when I connected kinesis data firehose to pinpoint.

            My pinpoint sends data to kinesis. But output is different what i want.

            Kinesis Setting :

            and Output i get.

            Is there any other way to work around to send data to personalize from pinpoint to start the campaign. After campaign start i can send data through campaign according to documentation.

            ...

            ANSWER

            Answered 2021-Oct-02 at 18:59

            Since the shape and content of Pinpoint events are different than the format of interactions required by Personalize (either imported in bulk as an interactions CSV or incrementally via the PutEvents API), some transformation is going to be required to get these events into the right format. The solution you noted uses periodic bulk imports by using Athena to extract and format the event data saved in S3 (through Kinesis Firehose) into the CSV format expected by Personalize and then imported into Personalize. You can find the Athena named queries in the CloudFormation template for the solution here.

            Source https://stackoverflow.com/questions/69400959

            QUESTION

            Why is HPA scale up even the usage doesn't hit the threshold?
            Asked 2021-Aug-18 at 06:30

            I have deployed a HPA the configuration showed at the bottom. It scales up when either CPU or Memory usage is above 75%. The initial replicas count is 1 and the max is 3. But I can see the pod count was scaled up to 3 1 few minutes after I deploy the HPA.

            The current usage of CPU/Memory is shown below. You can see it is quit low compare the requested resources which is 2 CPU and 8GB memory. I don't understand why it scales. Did I make any mistake on the configuration?

            ...

            ANSWER

            Answered 2021-Aug-18 at 06:30

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install firehose

            First, you'll need to install and run Redis 2.6. Version 2.6 is required because Firehose uses Lua/EVAL for its transactions, which is not available in earlier versions of Redis. Then install the gem.

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            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            gh repo clone firehoseio/firehose

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