Parsing large JSON file with Scala and JSON4S - json

I'm working with Scala in IntelliJ IDEA 15 and trying to parse a large twitter record json file and count the total number of hashtags. I am very new to Scala and the idea of functional programming. Each line in the json file is a json object (representing a tweet). Each line in the file starts like so:
{"in_reply_to_status_id":null,"text":"To my followers sorry..
{"in_reply_to_status_id":null,"text":"#victory","in_reply_to_screen_name"..
{"in_reply_to_status_id":null,"text":"I'm so full I can't move"..
I am most interested in a property called "entities" which contains a property called "hastags" with a list of hashtags. Here is an example:
"entities":{"hashtags":[{"text":"thewayiseeit","indices":[0,13]}],"user_mentions":[],"urls":[]},
I've browsed the various scala frameworks for parsing json and have decided to use json4s. I have the following code in my Scala script.
import org.json4s.native.JsonMethods._
var json: String = ""
for (line <- io.Source.fromFile("twitter38.json").getLines) json += line
val data = parse(json)
My logic here is that I am trying to read each line from twitter38.json into a string and then parse the entire string with parse(). The parse function is throwing an error claiming:
"Type mismatch, expected: Nothing, found:String."
I have seen examples that use parse() on strings that hold json objects such as
val jsontest =
"""{
|"name" : "bob",
|"age" : "50",
|"gender" : "male"
|}
""".stripMargin
val data = parse(jsontest)
but I have received the same error. I am coming from an object oriented programming background, is there something fundamentally wrong with the way I am approaching this problem?

You have most likely incorrectly imported dependencies to your Intellij project or modules into your file. Make sure you have the following lines imported:
import org.json4s.native.JsonMethods._
Even if you correctly import this module, parse(String: json) will not work for you, because you have incorrectly formed a json. Your json String will look like this:
"""{"in_reply_...":"someValue1"}{"in_reply_...":"someValues2"}"""
but should look as follows to be a valid json that can be parsed:
"""{{"in_reply_...":"someValue1"},{"in_reply_...":"someValues2"}}"""
i.e. you need starting and ending brackets for the json, and a comma between each line of tweets. Please read the json4s documenation for more information.

Although being almost 6 years old, I think this question deserves another try.
JSON format has a few misunderstandings in people's minds, especially how they are stored and how they are read back.
JSON documents, are stored as either a single object having all the other fields, or an array of multiple object possibly in same format. this second part is important because arrays in almost every programming language are defined by angle brackets and values separated by commas (note here I used a person object as my single value):
[
{"name":"John","surname":"Doe"},
{"name":"Jane","surname":"Doe"}
]
also note that everything except brackets, numbers and booleans are enclosed in quotes when written into file.
however, there is another use that is not official but preferred to transfer datasets easily where every object, or document as in nosql/mongo language, are stored in a new line like this:
{"name":"John","surname":"Doe"}
{"name":"Jane","surname":"Doe"}
so for the question, OP has a document written in this second form, but tries an algorithm written to read the first form. following code has few simple changes to achieve this, and the user must read the file knowing that:
var json: String = "["
for (line <- io.Source.fromFile("twitter38.json").getLines) json += line + ","
json=json.splitAt(json.length()-1)._1
json+= "]"
val data = parse(json)
PS: although #sbrannon, has the correct idea, the example he/she gave has mistakenly curly braces instead of angle brackets to surround the data.
EDIT: I have added json=json.splitAt(json.length()-1)._1 because the code above ends with a trailing comma which will cause parse error per the JSON format definition.

Related

Reading the Json string which is put together in one field

I have a Json pattern string in a text file, I have to pharse the below string like below and put it in to a external file.
Please let me know how this can be handled with Informatica Powercenter or Unix or Python?
{"CONTACTID":"3b2a25b2","ANI":"+16146748702","DNIS":"+18006081123","START_TIME":"01/22/2023 03:31:42","MODULE":[{"Name":"MainIVR","Time":"01/22/2023 03:31:42",Dialog":[{"name":"offer_Spanish","dialogeresult":"(|raw:7|R|7|1.0|nm=0|ni=0|2023/22/21 03:02:01)"}],"backend":[{"Time":"01/22/2023)"}],"END_STATE":"XC"}
In The above sample string the special charcters should be removed and the values should be assigned to the corresponding columns like below 2 o/p formats
Output:
CONTACTID, ANI, DNIS, START_TIME, MODULE, Time,Dialog,dialogeresult,END_STATE
3b2a25b2,+16146748702 +18006081123 01/22/2023 03:31:42,Name:MainIVR,
or
Output:
CONTACTID : 3b2a25b2
ANI:16146748702
DNI :+18006081123
I tried this to read thru Informatica powercenter and using the expression tranformations but nothing worked and tried with Python too.
For a start, your JSON is invalid. The opening double quotes for Dialog are missing and it's not properly closed - MODULE array is not closed and root is not closed. Here's the fixed JSON:
{"CONTACTID":"3b2a25b2","ANI":"+16146748702","DNIS":"+18006081123","START_TIME":"01/22/2023 03:31:42","MODULE":[{"Name":"MainIVR","Time":"01/22/2023 03:31:42","Dialog":[{"name":"offer_Spanish","dialogeresult":"(|raw:7|R|7|1.0|nm=0|ni=0|2023/22/21 03:02:01)"}],"backend":[{"Time":"01/22/2023)"}],"END_STATE":"XC"}]}
Use some JSON validation tool, like this one - it helps a lot.
Next, here's some starter code you may use to achieve the required result:
import json
# some JSON:
x = '{"CONTACTID":"3b2a25b2","ANI":"+16146748702","DNIS":"+18006081123","START_TIME":"01/22/2023 03:31:42","MODULE":[{"Name":"MainIVR","Time":"01/22/2023 03:31:42","Dialog":[{"name":"offer_Spanish","dialogeresult":"(|raw:7|R|7|1.0|nm=0|ni=0|2023/22/21 03:02:01)"}],"backend":[{"Time":"01/22/2023)"}],"END_STATE":"XC"}]}'
# parse x:
y = json.loads(x)
# the result is a Python dictionary:
print(y.keys())
You may test it on Replit
Finally regarding Informatica Powercenter - it is a terrible choice for complex string processing. You would need a Hierarchy Parser Transformation. Long story short: it's very tedious, but possible. I would highly recommend picking up a differen approach, if this is not a regular data loading process you will need to build.

Processing JSON from a .txt file and converting to a DataFrame in Julia

Cross posting from Julia Discourse in case anyone here has any leads.
I’m just looking for some insight into why the below code is returning a dataframe containing just the first line of my json file. If you’d like to try working with the file I’m working with, you can download the aminer_papers_0.zip from the Microsoft Open Academic Graph site, I’m using the first file in that group of files.
using JSON3, DataFrames, CSV
file_name = "path/aminer_papers_0.txt"
json_string = read(file_name, String)
js = JSON3.read(json_string)
df = DataFrame([js])
The resulting DataFrame has just one line, but the column titles are correct, as is the first line. To me the mystery is why the rest isn’t getting processed. I think I can rule out that read() is only reading the first JSON object, because I can index into the resulting object and see many JSON objects:
enter image description here
My first guess was maybe the newline \n was causing escape issues, and tried to use chomp to get rid of them, but couldn’t get it to work.
Anyway - any help would be greatly appreciated!
I think the problem is that the file is in JSON Lines format, and the JSON3 library only returns the first valid JSON value that it finds at the start of a string unless told otherwise.
tl;dr
Call JSON3.read with the keyword argument jsonlines=true.
Why?
By default, JSON3 interprets a string passed to its read function as a single "JSON text", defined by RFC 8259 section 1.3.2:
A JSON text is a serialized value....
(My emphasis on the use of the indefinite singular article "a.") A "JSON value" is defined in section 1.3.3:
A JSON value MUST be an object, array, number, or string, or one of the following three literal names: false, null, true.
A string with multiple JSON values in it is technically multiple "JSON texts." It is up to the parser to determine what part of the string argument you give it is a JSON text, and the authors of JSON3 chose as the default behavior to parse from the start of the string to the end of the first valid JSON value.
In order to get JSON3 to read the string as multiple JSON values, you have to give it the keyword option jsonlines=true, which is documented as:
jsonlines: A Bool indicating that the json_str contains newline delimited JSON strings, which will be read into a JSON3.Array of the JSON values. See jsonlines for reference. [default false]
Example
Take for example this simple string:
two_values = "3.14\n2.72"
Each one of these lines is a valid JSON serialization of a number. However, when passed to JSON3.read, only the first is parsed:
using JSON3
#assert JSON3.read(two_values) == 3.14
Using jsonlines=true, both values are parsed and returned as a JSON3.Array struct:
#assert JSON3.read(two_values, jsonlines=true) == [3.14, 2.72]
Other Packages
The JSON.jl library, which people might use by default given the name, does not implement parsing of JSON Lines strings at all, leaving it up to the caller to properly split the string as needed:
using JSON
JSON.parse(two_values)
# ERROR: Expected end of input
# Line: 1
# Around: ...3.14 2.72...
# ^
A simple way to implement reading multiple values is to use eachline:
#assert [JSON.parse(line) for line in eachline(IOBuffer(two_values))] == [3.14, 2.72]

Splicing json text into json4s ast without parsing

I have a string, which contains valid json.
I'd like to add that json as a JField in a larger json4s AST I'm building, but it'd be nice to avoid having to parse the json into an AST first. I trust it.
// this would work, but I'd prefer to avoid parsing something I
// happen to already know contains valid json
val rawJsonStr = "..."
val spliced = JField("foo", parse(rawJsonStr))
Is there a way beyond building the AST, converting it to json, then doing text manipulation?
I tried to do the same. After several attempts I realized that this was not a good idea.
Since the second element of JField("foo", _) is supposed to be a JValue.
When I put a string in it ended up being an escaped string.
Maybe you can get around this.

Import JSON using WITH in Neo4j

I'm trying to use a JSON, to eventually import it into Neo4j.
I use something like, it's a big JSON string:
WITH [
{"fullname":"Full name","note":"f","addr":[],"phone":[],"email":[{"value":"mail#city.com"}],"first_name":"","last_name":""},
..
] AS contacts
The colors of the first contact is mostly orange, then the other contacts become green, then black.
I get the following error:
Invalid input '"': expected whitespace, an identifier, UnsignedDecimalInteger, a property key name or '}'
I can view my JSON file with http://jsonviewer.stack.hu/ And it looks fine
Do I need to escape some kind of character, so that Neo4j understands it?
Edit:
Based on Martins answer, I removed the quotes using a regex in PHP from:
Remove double-quotes from a json_encoded string on the keys
Remove the quotation marks around the keys. The error message tells you that it expects a property key. Cypher does not use JSON here.
WITH [
{fullname:"Full name",note:"f",addr:[],phone:[],
email:[{value:"mail#city.com"}],
first_name:"",last_name:""}
] AS contacts
RETURN contacts
A neo4j driver or client library will handle data passed from dictionary like structures as parameters: https://neo4j.com/docs/developer-manual/current/cypher/#cypher-parameters
If you want to work with JSON and maybe load it from external sources you should have a look at the APOC procedures: https://neo4j-contrib.github.io/neo4j-apoc-procedures/.
This for example converts a JOSN string to a map that can be used in Cypher: https://neo4j-contrib.github.io/neo4j-apoc-procedures/#_from_tojson
CALL apoc.convert.fromJsonMap(
'{"fullname":"Full name","note":"f","addr":[],"phone":[],
"email":[{"value":"mail#city.com"}],"first_name":"","last_name":""}'
)
YIELD value
RETURN value

Use a period in a field name in a Matlab struct

I'm using webwrite to post to an api. One of the field names in the json object I'm trying to setup for posting is odata.metadata. I'm making a struct that looks like this for the json object:
json = struct('odata.metadata', metadata, 'odata.type', type, 'Name', name,);
But I get an error
Error using struct
Invalid field name "odata.metadata"
Here's the json object I'm trying to use in Matlab. All strings for simplicity:
{
"odata.metadata": "https://website.com#Element",
"odata.type": "Blah.Blah.This.That",
"Name": "My Object"
}
Is there a way to submit this json object or is it a lost cause?
Field names are not allowed to have dots in them. The reason why is because this will be confused with accessing another nested structure within the structure itself.
For example, doing json.odata.metadata would be interpreted as json being a struct with a member whose field name is odata where odata has another member whose field name is metadata. This would not be interpreted as a member with the combined field name as odata.metadata. You're going to have to rename the field to something else or change the convention of your field name slightly.
Usually, the convention is to replace dots with underscores. An automated way to take care of this if you're not willing to manually rename the field names yourself is to use a function called matlab.lang.makeValidName that takes in a string and converts it into a valid field name. This function was introduced in R2014a. For older versions, it's called genvarname.
For example:
>> matlab.lang.makeValidName('odata.metadata')
ans =
odata_metadata
As such, either replace all dots with _ to ensure no ambiguities or use matlab.lang.makeValidName or genvarname to take care of this for you.
I would suggest using a a containers.Map instead of a struct to store your data, and then creating your JSON string by iterating over the Map filednames and appending them along with the data to your JSON.
Here's a quick demonstration of what I mean:
%// Prepare the Map and the Data:
metadata = 'https://website.com#Element';
type = 'Blah.Blah.This.That';
name = 'My Object';
example_map = containers.Map({'odata.metadata','odata.type','Name'},...
{metadata,type,name});
%// Convert to JSON:
JSONstr = '{'; %// Initialization
map_keys = keys(example_map);
map_vals = values(example_map);
for ind1 = 1:example_map.Count
JSONstr = [JSONstr '"' map_keys{ind1} '":"' map_vals{ind1} '",'];
end
JSONstr =[JSONstr(1:end-1) '}']; %// Finalization (get rid of the last ',' and close)
Which results in a valid JSON string.
Obviously if your values aren't strings you'll need to convert them using num2str etc.
Another alternative you might want to consider is the JSONlab FEX submission. I saw that its savejson.m is able to accept cell arrays - which can hold any string you like.
Other alternatives may include any of the numerous Java or python JSON libraries which you can call from MATLAB.
I probably shouldn't add this as an answer - but you can have '.' in a struct fieldname...
Before I go further - I do not advocate this and it will almost certainly cause bugs and a lot of trouble down the road... #rayryeng method is a better approach
If your struct is created by a mex function which creates a field that contains a "." -> then you will get what your after.
To create your own test see the Mathworks example and modify accordingly.
(I wont put the full code here to discourage the practice).
If you update the char example and compile to test_mex you get:
>> obj = test_mex
obj =
Doublestuff: [1x100 double]
odata.metadata: 'This is my char'
Note: You can only access your custom field in Matlab using dynamic fieldnames:
obj.('odata.metadata')
You need to use a mex capability to update it...