I have wrote a code like below to concatenate two arrays together and save them as a JSON file.
In this code, "seg" is an array of some number, which has been produced somewhere in my code. info is also an array containing some data following by "Seg" array.
Defining variable types:
seg: Array<any> = [];
info: Array<any>=[];
final: Array<{info:any, Seg:any}>=[];
push value in array and concatenate them together:
this.info.push({date_created: 25 , description: 'aaa', year:'2015'});
this.final.push({info: this.info ,Seg:this.seg});
this.file.writeFile(this.file.externalApplicationStorageDirectory, 'test.json', JSON.stringify(this.final));
the produced file is something like this:
[{"info":[{"date_created: 25 , "description"="aaa", "year" :"2015"}],"seg":[2,3,4,5]}]
As you can see, the info information is placed between two bracket, so JSON file consider it as a list, not record.
Does anyone knows , how can I remove this brackets from the info array sides?
Should change the type of variable from array to anything else?
You can use like this to store as a record
seg: Array<any> = [];
info: Array<any>=[];
final:{info:any, Seg:any};
this.final.Seg = this.seg;
this.final.info = this.info;
Related
How can I select array "1" inside the "flavor" object from json code in mysql
Attribute name: settings
{"without":{"usd":{"new":"5","old":"8"},"weight":"5"},"color":{"2","3"},"flavor":{"1","2"}}
And how can I get a number inside the "usd" object inside "new" knowing these objects are inside the first object and they are variable, perhaps ["without" or "long" or ......]
Attribute name: settings
{"without":{"usd":{"new":"5","old":"8"},"weight":"5"},"color":{"2","3"},"flavor":{["1","2"}}
{"long":{"usd":{"new":"2","old":"3"},"weight":"2"},"medium":{"usd":{"new":"3","old":"4"},"weight":"3"},"short":{"usd":{"new":"4","old":"5"},"weight":"4"}}
{"short":{"usd":{"new":"4","old":"5"},"weight":"2"},"color":{"1","2"}}
LIKE
without = 5
long = 2
short = 4
I rebuilt the data format so that I could extract the required data
{"size":[{"id":1,"url":"without","weight":"5","price":{"usd":{"new":"5","old":"8"}}}],"color":[{"id":"2","url":"yellow"},{"id":"3","url":"green"}],"flavor":[{"id":"1","url":"berry"},{"id":"2","url":"strawberry"}]}
MYSQL
JSON_EXTRACT(details.settings, '$.color[*].url') LIKE '%yellow%'
I have this JSON file in a data lake that looks like this:
{
"id":"398507",
"contenttype":"POST",
"posttype":"post",
"uri":"http://twitter.com/etc",
"title":null,
"profile":{
"#class":"PublisherV2_0",
"name":"Company",
"id":"2163171",
"profileIcon":"https://pbs.twimg.com/image",
"profileLocation":{
"#class":"DocumentLocation",
"locality":"Toronto",
"adminDistrict":"ON",
"countryRegion":"Canada",
"coordinates":{
"latitude":43.7217,
"longitude":-31.432},
"quadKey":"000000000000000"},
"displayName":"Name",
"externalId":"00000000000"},
"source":{
"name":"blogs",
"id":"18",
"param":"Twitter"},
"content":{
"text":"Description of post"},
"language":{
"name":"English",
"code":"en"},
"abstracttext":"More Text and links",
"score":{}
}
}
in order to call the data into my application, I have to turn the JSON into a string using this code:
DECLARE #input string = #"/MSEStream/{*}.json";
REFERENCE ASSEMBLY [Newtonsoft.Json];
REFERENCE ASSEMBLY [Microsoft.Analytics.Samples.Formats];
#allposts =
EXTRACT
jsonString string
FROM #input
USING Extractors.Text(delimiter:'\b', quoting:true);
#extractedrows = SELECT Microsoft.Analytics.Samples.Formats.Json.JsonFunctions.JsonTuple(jsonString) AS er FROM #allposts;
#result =
SELECT er["id"] AS postID,
er["contenttype"] AS contentType,
er["posttype"] AS postType,
er["uri"] AS uri,
er["title"] AS Title,
er["acquisitiondate"] AS acquisitionDate,
er["modificationdate"] AS modificationDate,
er["publicationdate"] AS publicationDate,
er["profile"] AS profile
FROM #extractedrows;
OUTPUT #result
TO "/ProcessedQueries/all_posts.csv"
USING Outputters.Csv();
This output the JSON into a .csv file that is readable and when I download the file all data is displayed properly. My problem is when I need to get the data inside profile. Because the JSON is now a string I can't seem to extract any of that data and put it into a variable to use. Is there any way to do this? or do I need to look into other options for reading the data?
You can use JsonTuple on the profile string to further extract the specific properties you want. An example of U-SQL code to process nested Json is provided in this link - https://github.com/Azure/usql/blob/master/Examples/JsonSample/JsonSample/NestedJsonParsing.usql.
You can use JsonTuple on the profile column to further extract specific nodes
E.g. use JsonTuple to get all the child nodes of the profile node and extract specific values like how you did in your code.
#childnodesofprofile =
SELECT
Microsoft.Analytics.Samples.Formats.Json.JsonFunctions.JsonTuple(profile) AS childnodes_map
FROM #result;
#values =
SELECT
childnodes_map["name"] AS name,
childnodes_map["id"] AS id
FROM #result;
Alternatively, if you are interested in specific values, you can also pass paramters to the JsonTuple function to get the specific nodes you want. The code below gets the locality node from the recursively nested nodes (as described by the "$..value" construct.
#locality =
SELECT Microsoft.Analytics.Samples.Formats.Json.JsonFunctions.JsonTuple(profile, "$..locality").Values AS locality
FROM #result;
Other supported constructs by JsonTuple
JsonTuple(json, "id", "name") // field names
JsonTuple(json, "$.address.zip") // nested fields
JsonTuple(json, "$..address") // recursive children
JsonTuple(json, "$[?(#.id > 1)].id") // path expression
JsonTuple(json) // all children
Hope this helps.
I am building a CSV file parser through node and Angular . so basically a user upload a csv file , on my server side which is node the csv file is traversed and parsed using node-csv
. This works fine and it returns me an array of object based on csv file given as input , Now on angular end I need to display two table one is csv file data itself and another is cross tabulation analysis. I am facing problem while rendering data, so for a table like
I am getting parse responce as
For cross tabulation we need data in a tabular form as
I have a object array which I need to manipulate in best possible way so as to make easily render on html page . I am not getting a way how to do calculation on data I get so as to store cross tabulation result .Any idea on how should I approach .
data json is :
[{"Sample #":"1","Gender":"Female","Handedness;":"Right-handed;"},{"Sample #":"2","Gender":"Male","Handedness;":"Left-handed;"},{"Sample #":"3","Gender":"Female","Handedness;":"Right-handed;"},{"Sample #":"4","Gender":"Male","Handedness;":"Right-handed;"},{"Sample #":"5","Gender":"Male","Handedness;":"Left-handed;"},{"Sample #":"6","Gender":"Male","Handedness;":"Right-handed;"},{"Sample #":"7","Gender":"Female","Handedness;":"Right-handed;"},{"Sample #":"8","Gender":"Female","Handedness;":"Left-handed;"},{"Sample #":"9","Gender":"Male","Handedness;":"Right-handed;"},{"Sample #":";"}
There are many ways you can do this and since you have not been very specific on the usage, I will go with the simplest one.
Assuming you have an object structure such as this:
[
{gender: 'female', handdness: 'lefthanded', id: 1},
{gender: 'male', handdness: 'lefthanded', id: 2},
{gender: 'female', handdness: 'righthanded', id: 3},
{gender: 'female', handdness: 'lefthanded', id: 4},
{gender: 'female', handdness: 'righthanded', id: 5}
]
and in your controller you have exposed this with something like:
$scope.members = [the above array of objects];
and you want to display the total of female members of this object, you could filter this in your html
{{(members | filter:{gender:'female'}).length}}
Now, if you are going to make this a table it will obviously make some ugly and unreadable html so especially if you are going to repeat using this, it would be a good case for making a directive and repeat it anywhere, with the prerequisite of providing a scope object named tabData (or whatever you wish) in your parent scope
.directive('tabbed', function () {
return {
restrict: 'E',
template: '<table><tr><td>{{(tabData | filter:{gender:"female"}).length}}</td></tr><td>{{(tabData | filter:{handedness:"lefthanded"}).length}}</td></table>'
}
});
You would use this in your html like so:
<tabbed></tabbed>
And there are ofcourse many ways to improve this as you wish.
This is more of a general data structure/JS question than Angular related.
Functional helpers from Lo-dash come in very handy here:
_(data) // Create a chainable object from the data to execute functions with
.groupBy('Gender') // Group the data by its `Gender` attribute
// map these groups, using `mapValues` so the named `Gender` keys persist
.mapValues(function(gender) {
// Create named count objects for all handednesses
var counts = _.countBy(gender, 'Handedness');
// Calculate the total of all handednesses by summing
// all the values of this named object
counts.Total = _(counts)
.values()
.reduce(function(sum, num) { return sum + num });
// Return this named count object -- this is what each gender will map to
return counts;
}).value(); // get the value of the chain
No need to worry about for-loops or anything of the sort, and this code also works without any changes for more than two genders (even for more than two handednesses - think of the aliens and the ambidextrous). If you aren't sure exactly what's happening, it should be easy enough to pick apart the single steps and their result values of this code example.
Calculating the total row for all genders will work in a similar manner.
I'm using code from https://github.com/alexholmes/json-mapreduce to read a multi-line json file into an RDD.
var data = sc.newAPIHadoopFile(
filepath,
classOf[MultiLineJsonInputFormat],
classOf[LongWritable],
classOf[Text],
conf)
I printed out the first n elements to check if it was working correctly.
data.take(n).foreach { p =>
val (line, json) = p
println
println(new JSONObject(json.toString).toString(4))
}
However when I try to look at the data, the arrays returned from take don't seem to be correct.
Instead of returning an array of the form
[ data[0], data[1], ... data[n] ]
it is in the form
[ data[n], data[n], ... data[n] ]
Is this an issue with the RDD I've created, or an issue with how I'm trying to print it?
I figured out why take it was returning an array with duplicate values.
As the API mentions:
Note: Because Hadoop's RecordReader class re-uses the same Writable object
for each record, directly caching the returned RDD will create many
references to the same object. If you plan to directly cache Hadoop
writable objects, you should first copy them using a map function.
Therefore in my case it was reusing the same LongWritable and Text objects. For example if I did:
val foo = data.take(5)
foo.map( r => System.identityHashCode(r._1) )
The output was:
Array[Int] = Array(1805824193, 1805824193, 1805824193, 1805824193, 1805824193)
So in order to prevent it from doing this, I simply mapped the reused objects to their respective values:
val data = sc.newAPIHadoopFile(
filepath,
classOf[MultiLineJsonInputFormat],
classOf[LongWritable],
classOf[Text],
conf ).map(p => (p._1.get, p._2.toString))
I'm trying to process the following with an JSON Input step:
{"address":[
{"AddressId":"1_1","Street":"A Street"},
{"AddressId":"1_101","Street":"Another Street"},
{"AddressId":"1_102","Street":"One more street", "Locality":"Buenos Aires"},
{"AddressId":"1_102","Locality":"New York"}
]}
However this seems not to be possible:
Json Input.0 - ERROR (version 4.2.1-stable, build 15952 from 2011-10-25 15.27.10 by buildguy) :
The data structure is not the same inside the resource!
We found 1 values for json path [$..Locality], which is different that the number retourned for path [$..Street] (3509 values).
We MUST have the same number of values for all paths.
The step provides Ignore Missing Path flag but it only works if all the rows misses the same path. In that case that step acts as as expected an fills the missing values with null.
This limits the power of this step to read uneven data, which was really one of my priorities.
My step Fields are defined as follows:
Am I missing something? Is this the correct behavior?
What I have done is use JSON Input using $.address[*] to read to a jsonRow field the full map of each element p.e:
{"address":[
{"AddressId":"1_1","Street":"A Street"},
{"AddressId":"1_101","Street":"Another Street"},
{"AddressId":"1_102","Street":"One more street", "Locality":"Buenos Aires"},
{"AddressId":"1_102","Locality":"New York"}
]}
This results in 4 jsonRows one for each element, p.e. jsonRow = {"AddressId":"1_101","Street":"Another Street"}. Then using a Javascript step I map my values using this:
var AddressId = getFromMap('AddressId', jsonRow);
var Street = getFromMap('Street', jsonRow);
var Locality = getFromMap('Locality', jsonRow);
In a second script tab I inserted minified JSON parse code from https://github.com/douglascrockford/JSON-js and the getFromMap function:
function getFromMap(key,jsonRow){
try{
var map = JSON.parse(jsonRow);
}
catch(e){
var message = "Unparsable JSON: "+jsonRow+" Desc: "+e.message;
var nr_errors = 1;
var field = "jsonRow";
var errcode = "JSON_PARSE";
_step_.putError(getInputRowMeta(), row, nr_errors, message, field, errcode);
trans_Status = SKIP_TRANSFORMATION;
return null;
}
if(map[key] == undefined){
return null;
}
trans_Status = CONTINUE_TRANSFORMATION;
return map[key]
}
You can solve this by changing the JSONPath and splitting up the steps in two JSON input steps. The following website explains a lot about JSONPath: http://goessner.net/articles/JsonPath/
$..AddressId
Does in fact return all the AddressId's in the address array, BUT since Pentaho is using grid rows for input and output [4 rows x 3 columns], it can't handle a missing value aka null value when you want as results return all the Streets (3 rows) and return all the Locality (2 rows), simply because there are no null values in the array itself as in you can't drive out of your garage with 3 wheels on your car instead of the usual 4.
I guess your script returns null (where X is zero) values like:
A S X
A S X
A S L
A X L
The scripting step can be avoided same by changing the Fields path of the first JSONinput step into:
$.address[*]
This is to retrieve all the 4 address lines. Create a next JSONinput step based on the new source field which contains the address line(s) to retrieve the address details per line:
$.AddressId
$.Street
$.Locality
This yields the null values on the four address lines when a address details is not available in an address line.