I have the following JSON:
{
"From": "stuart",
"Payload": {
"Alert": "Critical",
"Recipient": "Joe"
}
}
I want to route this based on if the field in Alert is 'Critical' or not.
I've tried RouteOnAttribute processor and also an EvaluateJson processor. Neither are working.
For RouteOnAttribute I've tried
Alerted: ${Payload:jsonPath('$.Alert'):equals('Critical')}
Then I have a relationship based on Alerted but nothing ever goes into my RouteOnAttribute processor, the queue just sits there till it fills to 10,000.
I need the full JSON to be routed, I can't lose information in the routing.
The issue is with jsonPath function works on flowfile attributes but you are not having Payload attribute associated with the flowfile.
How to add attribute to the flowfile?
After generateflowfile processor use EvaluateJsonPath processor with destination as flowfile-attribute,
Add new property
payload.alert as $.Payload.Alert
Then use routeonattribute processor add new property as
Alerted
${payload.alert:equals('Critical')}
Flow:
1.GenerateFlowFile
2.EvaluateJsonPath //extract the value and keep as attribute to the flowfile
3.RouteOnAttribute //check the attribute value
Related
I am working on a Power Automate flow to get a JSON file from SharePoint and Parse it. On one of my previous questions I received a solution that worked with a testing JSON file. However when I ran a couple of tests with some JSON files that I need to use, the Parse JSON step gives out errors regarding "missing" required properties.
Basically, the JSON file's arrays do not always have exactly the same elements (properties). For example (below) the element "minimun_version" does not always appear under the element "link", like the image below
and because of this syntax I get the errors below
How can I Parse such a JSON file successfully?
Any idea or suggestion will help me get unstuck.
Thank you
You can allow null values in your Parse Json schema by simply adding that to the schema. April Dunnam has a nice article about this approach:
https://www.sharepointsiren.com/2018/10/flow-parse-json-null-error-fix/
I assume you have something like below in your schema?
"minimum_version": {
"type": "number"
}
You can change that to this to allow null values
"minimum_version": {
"type": [
"number",
"null"
]
}
I've been trying to create an ADF pipeline to move data from one of our databases into an azure storage folder - but I can't seem to get the transform to work correctly.
I'm using a Copy Data task and have the source and sink set up as datasets and data is flowing from one to the other, it's just the format that's bugging me.
In our Database we have a single field that contains a JSON object, this needs to be mapped into the sink object but doesn't have a Column name, it is simply the base object.
So for example the source looks like this
and my output needs to look like this
[
{
"ID": 123,
"Field":"Hello World",
"AnotherField":"Foo"
},
{
"ID": 456,
"Field":"Don't Panic",
"AnotherField":"Bar"
}
]
However, the Copy Data task seems to only seems to accept direct Source -> Sink mapping, and also is treating the SQL Server field as VARCHAR (which I suppose it is). So as a result I'm getting this out the other side
[
{
"Json": "{\"ID\": 123,\"Field\":\"Hello World\",\"AnotherField\":\"Foo\"}"
},
{
"Json": "{\"ID\": 456,\"Field\":\"Don't Panic\",\"AnotherField\":\"Bar\"}"
}
]
I've tried using the internal #json() parse function on the source field but this causes errors in the pipeline. I also can't get the sink to just map directly as an object inside the output array.
I have a feeling I just shouldn't be using Copy Data, or that Copy Data doesn't support the level of transformation I'm trying to do. Can anybody set me on the right path?
Using a JSON dataset as a source in your data flow allows you to set five additional settings. These settings can be found under the JSON settings accordion in the Source Options tab. For Document Form setting, you can select one of Single document, Document per line and Array of documents types.
Select Document form as Array of documents.
Refer - https://learn.microsoft.com/en-us/azure/data-factory/format-json
I'm doing a full-stack project where I got an Object with two property "success" and "message", through API when I register the form.
But my Frontend which is in Angular is not being able to read the success property.
authService.registerUser returns an Observable, that's why you can subscribe to it. You should check, if the object passed in the returned Observable corresponds to the expected object (the one that contains the properties "success" and "message").
If this is the case, you could try to access the property in the following way:
if (!data['success']) {
this.submitting = false
}
Otherwise you have to correct the code in order to handle the data according to its type.
i have a stream of json in apache nifi that contain dynamic fields (maximum 11 fields) and i want to convert it to csv file.
sample json:
{
"field1":"some text",
"field2":"some text",
"field3":"some text",
"field4":"some text",
"field5":"some text",
"field6":"some text",
"field7":"some text"
}
i don't wanna using replace or json evaluate; how i do it with ConvertRecord?
using this processor is so odd and hard to work...
Clear expression about dynamic fields:
i have 11 fields at total. one record may have contain 7 fields, and next record may contain 11 fields and next 9 fields...
The steps provided below will help you in getting this done.:
Connect your source processor which generates/outputs the JSON files to ConvertRecord.
Configure ConvertRecord and set 'Record Reader' to use JsonTreeReader controller service and 'Record Writer' to use CSVRecordSetWriter controller service
Configure both the controller services and set Schema Registry property to use AvroSchemaRegistry
Configure AvroSchemaRegistry. Go to 'Properties' tab and click the + button which lets you add a dynamic property.
Give some property name (ex: mySchema) and for the value, give the Avro schema expected for your input JSON. (You can use InferAvroSchema processor to generate Avro schema for your JSON)
Configure both JsonTreeReader and CsvRecordSetWriter and set the 'Schema Name' property to the name provided above, in this case, mySchema.
Connect the relationships of ConvertRecord to downstream processors according to your need.
In JMeter, I need to extract some fields (City, Classification, and Chain) from a JSON response:
{
"StoreCode": "111243",
"StoreName": "Spencer - Sec 14 Gurgaon",
"Address1": "Gurgaon-Sector-14",
"Address2": "NCR",
"Pin": "110000",
"City": "NCR",
"Classification": "Vol 4",
"Chain": "Spencers",
"Version": "20281",
"VisitType": "Weekly"
}
Can it be done using the regular expression extractor? Is there another option?
If this piece of JSON is the all the response - it makes sense to use Regular Expression Extractor.
If you receive larger or more complicated structure - it's better to use special JSON Path Extractor available through plugin. JSON Path expressions for your JSON response would be something like $.City, $.Chain, etc.
See "Parsing JSON" chapter of Using the XPath Extractor in JMeter guide for more details on JSON Path language and on how to install the plugin.
Very easy with the plugin mentioned. See this for example. Here is link to plugin.
My biggest thing to understand was the flow. In your jmeter test you need to have an httprequest that returns data (in this case json data). So running your test you'd see json in the Response Data tab if you have a View Results Tree listener going. If you have this right click on the HttpRequest you want data from. ADD => Post Processors => jp#gc - JSON Path Extractor. Inside that extractor, you can name it anything you want.
The variable name should be one you already have defined in a User Defined Variables config element. The JSON Path would start with a dollar sign, then a dot, then the name of the key you want the value for from your json. So for me: $.logId the value from ... "logId": 4, ... in my json. It will store the number 4 in my userdefined variable. The default value can be set to something you'd never see like -1 or null or false etc...
BTW you reference your variable in your tests with ${variablename}. If putting into json and its a string do "${variablename}". Hope it helps.
Lots of the way to find out with the help of regular expression. Sharing one of them.
"City": "(.*)",
"Classification": "(.*)",
"Chain": "(.*)",