firehose | Build realtime Ruby web applications | Application Framework library
kandi X-RAY | firehose Summary
kandi X-RAY | firehose Summary
Firehose is both a Rack application and JavaScript library that makes building real-time web applications possible.
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Top functions reviewed by kandi - BETA
- 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
firehose Key Features
firehose Examples and Code Snippets
Community Discussions
Trending Discussions on firehose
QUESTION
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 04:20Firehose 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
QUESTION
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 21:44Sadly 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.
QUESTION
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 17:04Here is the sample output that worked(in python):
QUESTION
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 21:15Spent few days but figured it out. You can use **kwargs to pass arguments like this
QUESTION
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 16:04the 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:
QUESTION
I started a transaction on my redshift table like this
...ANSWER
Answered 2021-Oct-07 at 15:22I 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.
QUESTION
If defining a SSM parameter in cloud formation one template like this
...ANSWER
Answered 2021-Oct-07 at 00:04Generally there are two choices:
Export the arn of your
KinesisStreamARNParameter
in the outputs. Then use ImportValue to reference it your second template.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.
QUESTION
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 05:43Kinesis 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
QUESTION
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 18:59Since 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.
QUESTION
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 06:30You have mentioned the resource without unit : https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#resource-units-in-kubernetes
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