Top Tweets for #JSONata
Just published a new version of our #jsonata lib:
* full support for the new 2.1 language features
* access to the AST and runtime via frame callbacks
* bugfixes
Thanks to everyone in the community who contributed docs, issue reports & pull requests!
https://t.co/TuLxHOFTfu
New post by Damien Jones.
Simplified Data Workflows With AWS Step Functions Variables
https://t.co/qBhrkxcZ0v
#amazondynamodb #awslambda #awsstepfunctions #jsonata
🚀 Just dropped our first blog on DevToolLab!
Learn how to master JSON transformations using #JSONata a powerful query language for JSON. Perfect for devs who love clean, declarative data logic. 🔧
Read here 👇
https://t.co/FlhxtpVAFc
#DevToolLab #JSON #WebDev #JavaScript
When using #AWSStepFunctions, don't forget a healthy side of #JSONata! Here is an example of reducing transitions.
$states.result.Items[type.S = 'CSAT'].csatEvent.S ~> $map(function($v) {$number($v)}) ~> $average ~> $round(2)
This query is calculating the average CSAT (Customer Satisfaction) score for an event, rounded to 2 decimal places. Let's break it down:
1. $states.result.Items - Starts by accessing the Items array within the result object of the states variable.
2. [type.S = 'CSAT'] - Filters the Items array to only include elements where the type.S attribute equals 'CSAT'.
3. .csatEvent.S - From the filtered items, extracts the S (string) attribute of csatEvent. This creates an array of CSAT string values.
4. ~> $map(function($v) {$number($v)}) - The ~> is a "pipeline" operator that passes the result to the next function. Here, it maps each string value to a number using the $number function, converting the array of strings to an array of numbers.
5. ~> $average - Calculates the average of all the numeric CSAT values.
6. ~> $round(2) - Rounds the average to 2 decimal places.
New post by Damien Jones.
Low-Code S3 Key Validation With AWS Step Functions & JSONata
https://t.co/KAscNQ8GCr
#amazoneventbridge #amazons3 #awsstepfunctions #jsonata
I couldn't find any formatter for #JSONata anywhere.
Hence, I created my #formatter:
https://t.co/wXpjnoUvii
Shout out to @surge_sh, which has provided this excellent service for many years. It allows us to deploy projects to the public quickly.
New post by @NullishCoalesce
Create Stateful Serverless Workflows with AWS Step Functions and JSONata
https://t.co/h1EWBMq49l
#aws #jsonata #serverless #stepfunctions
#JSONata in 10 seconds:
✅ Transform complex JSON without writing Lambda glue code.
✅ No more “I’ll just write a quick function” → that costs $$ and time.
✅ Example: Nested JSON restructuring? Done in 1 line.
Bye-bye, unnecessary code tax.
NEW ON AMAZONWEBSHARK: I use AWS Step Functions variables and JSONata to create a simplified API data capture workflow with Lambda and DynamoDB. Link in comments.
#AWS #StepFunctions #Serverless #JSONata #DynamoDB #AWSLambda #AWSCloud #AWSCommunity #CloudComputing #TechBlog
New on #amazonwebshark: I use #JSONata to add low-code #AmazonS3 object key validation to an #AWSStepFunctions state machine. Link in comments.
#AWS #AWSCloud #AWSCommunity #LowCode #Serverless #CloudComputing #DataTransformation #CloudDevelopment #TechBlog #ProjectWolfie
@jeffrigby Love this!!! Yeah, I am super happy with #JSONata and the implementation in #AWSStepFunctions. Soooo powerful.
Just released version 5.4 of the Dashjoin Platform. It features new widgets, #JavaScript as an alternative to #JSONata, #I18N, and much more:
https://t.co/MzmGrFTIQJ
#jsonata fix bug on your website. You messed up with protocol. There is no protocol `htts`
If you didn't catch it before, AWS Step Functions now supports #JSONata for querying data in states. Learn more: https://t.co/zSOIqHCdAS
We just released version 5.2 with several new widget properties, incremental ETL, ability to manage user login times, and much more: https://t.co/MzmGrFTIQJ
#lowcode #nocode #opensource #cloudnative #jsonata #jsonschema
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