I'm doing a tranfomation that has two differents flows. In the end of the transformation the two flows converge and save the data into the same json file output. Verifing a specific column on result file the values are strange. They look like as follow:
Column
[B#3e8fe299
[B#50b541fb
[B#44b719d4
[B#7dad3c13
[B#6e46a542
[B#170d9515
When I save in differents files it doesn't occurs, the values stay right. Does anyone know what could be causing it and how can I solve it?
Thanks.
Looks like you're printing out java Byte Array object IDs. Here is a link which shows similar values to yours ([B#...):
Java: Syntax and meaning behind "[B#1ef9157"? Binary/Address?
Can you verify what types your fields are?
Related
Following a previous question I started working on a Data Flow, with the purpose of flattening a JSON file, created as a result of an Application Insights REST query. You can find an anonymised version here.
My goal is to extract the data in the "rows" array of arrays, but I end up with the data duplicated in a cartezian manner (I got an original number of 18 rows and I end up with 324, 18*18).
I cannot understand what I am doing wrong or if it is an issue with the JSON "rows" array of arrays.
Here is my Data Flow - Source has the "Document per line" JSON option, "Single documents" raises a [unexpected character "] error, probably due to the strange formatting in the JSON:
This is the Data Preview in the Source - as you can see, it is only one "tables" node, with 18 elements in the "rows" array:
rows:
I tried to Flatten it, but I cannot map "rows" data to a column, I cannot use something like table.rows[0]:
Also, the rows data gets duplicated - 18 rows for each of the 18 rows outputted:
I am not sure how to get to the bottom of this, if it's the JSON format or if I am doing something wrong. From my experience it's probably the latter.
I think this is caused by your special format.
Please try this:
add a rowdata property
flatten your data
#Steve Zhao thank you! But that solution duplicated the data similar to the original situation:
I did not manage to treat these data as JSON so I ended up thinking about it as text that can be manipulated into an array.
So I split the text by "rows:" and retrieve the second part of the split (arrays in Expression Builder start from 1):
Then I split that text as an array:
Which then I can flatten (at last):
From here on I keep splitting these values to get the data I need - I was interested in the first two and fourth column.
I have this solution that helps me creating a Wizard to fill some data and turn into JSON, the problem now is that I have to receive a xlsx and turn specific data from it into JSON, not all the data but only the ones I want which are documented in the last link.
In this link: https://stackblitz.com/edit/xlsx-to-json I can access the excel data and turn into object (when I print document.getElementById('output').innerHTML = JSON.parse(dataString); it shows [object Object])
I want to implement this solution and automatically get the specified fields in the config.ts but can't get to work. For now, I have these in my HTML and app-component.ts
https://stackblitz.com/edit/angular-xbsxd9 (It's probably not compiling but it's to show the code only)
It wasn't quite clear what you were asking, but based on the assumption that what you are trying to do is:
Given the data in the spreadsheet that is uploaded
Use a config that holds the list of column names you want returned in the JSON when the user clicks to download
based on this, I've created a fork of your sample here -> Forked Stackbliz
what I've done is:
use the map operator on the array returned from the sheet_to_json method
Within the map, the process is looping through each key of the record (each key being a column in this case).
If a column in the row is defined in the propertymap file (config), then return it.
This approach strips out all columns you don't care about up front. so that by the time the user clicks to download the file, only the columns you want are returned. If you need to maintain the original columns, then you can move this logic somewhere more convenient for you.
I also augmented the property map a little to give you more granular control over how to format the data in the returned JSON. i.e. don't treat numbers as strings in the final output. you can use this as a template if it suites your needs for any additional formatting.
hope it helps.
I have a slew of JSON files I'm getting dumps of, with data from the day/period it was pulled. Most of the JSON files I'm dealing with are a lot larger than this, but I figured a smaller one would be easier to work with.
{"playlists":[{"uri":"spotify:user:11130196075:playlist:1Ov4b3NkyzIMwfY9E8ixpE","listeners":366,"streams":386,"dateAdded":"2016-02-24","newListeners":327,"title":"#Covers","owner":"Saga Prommeedet"},{"uri":"spotify:user:mickeyrose30:playlist:2Ov4b3NkyzIMwfY9E8ixpE","listeners":229,"streams":263,"dateAdded":"removed","newListeners":154,"title":"bestcovers2016","owner":"Mickey Rose"}],"top":2,"total":53820}
What I'm essentially trying to do is add a date attribute to each line of data, so that when I combine multiple JSON files to put through an analytical tool, the right row of data is associated with the correct date. My first thought was to write it as such:
{"playlists":[{"uri":"spotify:user:11130196075:playlist:1Ov4b3NkyzIMwfY9E8ixpE","listeners":366,"streams":386,"dateAdded":"2016-02-24","newListeners":327,"title":"#Covers","owner":"Saga Prommeedet"},{"uri":"spotify:user:mickeyrose30:playlist:2Ov4b3NkyzIMwfY9E8ixpE","listeners":229,"streams":263,"dateAdded":"removed","newListeners":154,"title":"bestcovers2016","owner":"Mickey Rose"}],"top":2,"total":53820,"date":072617}
since the "top" and "total" attributes are showing up on each row of data (with the associated values also showing up on each row) when I put it through an analytical tool like Tableau.
Also, have been editing and saving files through Brackets, and testing things through this converter (https://konklone.io/json/)
In javascript language
var m = JSON.parse(json_string);
m["date"]="20170804";
JSON.stringify(m);
This will work for you, very simple,
I'm working on some Python code for my local billiard hall and I'm running into problems with JSON encoding. When I dump my data into a file I obviously get all the data in a single line. However, I want my data to be dumped into the file following the format that I want. For example (Had to do picture to get point across),
My custom JSON format
. I've looked up questions on custom JSONEncoders but it seems they all have to do with datatypes that aren't JSON serializable. I never found a solution for my specific need which is having everything laid out in the manner that I want. Basically, I want all of the list elements to on a separate row but all of the dict items to be in the same row. Do I need to write my own custom encoder or is there some other approach I need to take? Thanks!
I have tried the df.write.mode("append").json(targetPath)method for writing multiple rows into a JSON file. Unfortunately, the output always seem to be missing commas between objects. For example, I am getting the following output
{"time_stamp":"2016-12-08 01:45:00","Temperature":0.8,"Energy":111111.5,"Net_Energy":1111.3}
{"time_stamp":"2016-12-08 02:00:00","Temperature":21.9,"Energy":222222.5,"Net_Energy":222.0}
While I was expecting
{"time_stamp":"2016-12-08 01:45:00","Temperature":0.8,"Energy":111111.5,"Net_Energy":1111.3},
{"time_stamp":"2016-12-08 02:00:00","Temperature":21.9,"Energy":222222.5,"Net_Energy":222.0}
As you can see that there is no comma between two objects in the output.
Am I missing anything?
Also, is there a method to save each row in a separate JSON file without going to through the expensive filter() method?
Any help would be highly appreciated.