I received a one digit as string format, for example, which look like 12.
What I want to do is to convert those strings into a json format and
write them to the text file in my local directory.
However, I didn't get the right solution except for those things that manually change the strings so that it looks like the json format. I think it is tedious and laborious tasks.
The completed json format will be shown as below.
{"temperature": 12}
Is there any libraries that achieve my issue?
Thanks.
Check out Gson. In particular, if you have a Java class with a single "temperature" field, then see this for how to convert to Json.
Related
I have a function that queries data from an external api (making a power connector). I need one of my inputs for the api to be json text (could be nested json). However from the Power BI UI side, I can only pass in things like numbers, text, lists... I could write it as a JSON encoded string like this
MyLibrary.GetData("{""key"":{""key2"":""value""}}")
But this looks messy. I would like to write it natively like this for example (then convert it to json text in M language).
MyLibrary.GetData({"key":{"key2":"value"}})
How can I do this?
Figured it out. There is a record type like this [key=Value]. Value can be any type.
Am having trouble identifying the propert format to store a json request body in csv format, then use the csv file value in a scenario.
This works properly within a scenario:
And request '{"contextURN":"urn:com.myco.here:env:booking:reservation:0987654321","individuals":[{"individualURN":"urn:com.myco.here:env:booking:reservation:0987654321:individual:12345678","name":{"firstName":"NUNYA","lastName":"BIDNESS"},"dateOfBirth":"1980-03-01","address":{"streetAddressLine1":"1 Myplace","streetAddressLine2":"","city":"LANDBRANCH","countrySubdivisionCode":"WV","postalCode":"25506","countryCode":"USA"},"objectType":"INDIVIDUAL"},{"individualURN":"urn:com.myco.here:env:booking:reservation:0987654321:individual:23456789","name":{"firstName":"NUNYA","lastName":"BIZNESS"},"dateOfBirth":"1985-03-01","address":{"streetAddressLine1":"1 Myplace","streetAddressLine2":"","city":"BRANCHLAND","countrySubdivisionCode":"WV","postalCode":"25506","countryCode":"USA"},"objectType":"INDIVIDUAL"}]}'
However, when stored in csv file as follows (I've tried quite a number other formatting variations)
'{"contextURN":"urn:com.myco.here:env:booking:reservation:0987654321","individuals":[{"individualURN":"urn:com.myco.here:env:booking:reservation:0987654321:individual:12345678","name":{"firstName":"NUNYA","lastName":"BIDNESS"},"dateOfBirth":"1980-03-01","address":{"streetAddressLine1":"1 Myplace","streetAddressLine2":"","city":"LANDBRANCH","countrySubdivisionCode":"WV","postalCode":"25506","countryCode":"USA"},"objectType":"INDIVIDUAL"},{"individualURN":"urn:com.myco.here:env:booking:reservation:0987654321:individual:23456789","name":{"firstName":"NUNYA","lastName":"BIZNESS"},"dateOfBirth":"1985-03-01","address":{"streetAddressLine1":"1 Myplace","streetAddressLine2":"","city":"BRANCHLAND","countrySubdivisionCode":"WV","postalCode":"25506","countryCode":"USA"},"objectType":"INDIVIDUAL"}]}',
and used in scenario as:
And request requestBody
my test returns an "javascript evaluation failed: " & the json above & :1:63 Missing close quote ^ in at line number 1 at column number 63
Can you please identify correct formatting or the usage errors I am missing? Thanks
We just use a basic CSV library behind the scenes. I suggest you roll your own Java helper class that does whatever processing / pre-processing you need.
Do read this answer as well: https://stackoverflow.com/a/54593057/143475
I can't make sense of your JSON but if you are trying to fit JSON into CSV, sorry - that's not a good idea. See this answer: https://stackoverflow.com/a/62449166/143475
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 a CSV file which I want to convert to Parquet for futher processing. Using
sqlContext.read()
.format("com.databricks.spark.csv")
.schema(schema)
.option("delimiter",";")
.(other options...)
.load(...)
.write()
.parquet(...)
works fine when my schema contains only Strings. However, some of the fields are numbers that I'd like to be able to store as numbers.
The problem is that the file arrives not as an actual "csv" but semicolon delimited file, and the numbers are formatted with German notation, i.e. comma is used as decimal delimiter.
For example, what in US would be 123.01 in this file would be stored as 123,01
Is there a way to force reading the numbers in different Locale or some other workaround that would allow me to convert this file without first converting the CSV file to a different format? I looked in Spark code and one nasty thing that seems to be causing issue is in CSVInferSchema.scala line 268 (spark 2.1.0) - the parser enforces US formatting rather than e.g. rely on the Locale set for the JVM, or allowing configuring this somehow.
I thought of using UDT but got nowhere with that - I can't work out how to get it to let me handle the parsing myself (couldn't really find a good example of using UDT...)
Any suggestions on a way of achieving this directly, i.e. on parsing step, or will I be forced to do intermediate conversion and only then convert it into parquet?
For anybody else who might be looking for answer - the workaround I went with (in Java) for now is:
JavaRDD<Row> convertedRDD = sqlContext.read()
.format("com.databricks.spark.csv")
.schema(stringOnlySchema)
.option("delimiter",";")
.(other options...)
.load(...)
.javaRDD()
.map ( this::conversionFunction );
sqlContext.createDataFrame(convertedRDD, schemaWithNumbers).write().parquet(...);
The conversion function takes a Row and needs to return a new Row with fields converted to numerical values as appropriate (or, in fact, this could perform any conversion). Rows in Java can be created by RowFactory.create(newFields).
I'd be happy to hear any other suggestions how to approach this but for now this works. :)
I've a large JSON string, I want to convert this string into Erlang record.
I found jiffy library but it doesn't completely convert to record.
For example:
jiffy:decode(<<"{\"foo\":\"bar\"}">>).
gives
{[{<<"foo">>,<<"bar">>}]}
but I want the following output:
{ok,{obj,[{"foo",<<"bar">>}]},[]}
Is there any library that can be used for the desired output?
Or is there any library that can be used in combination of jiffy for further modifying the output of it.
Consider the fact the JSON string is large, and I want the output is minimum time.
Take a look at ejson, from the documentation:
JSON library for Erlang on top of jsx. It gives a declarative interface for jsx by which we need to specify conversion rules and ejson will convert tuples according to the rules.
I made this library to make easy not just the encoding but rather the decoding of JSONs to Erlang records...
In order for ejson to take effect the source files need to be compiled with parse_transform ejson_trans. All record which has -json attribute can be converted to JSON later.