I am currently trying to make an interactive table in Angular that reflects table information from a SQL database.
The stack I am using is MSSQL, Express.js, and AngularJS. When I log the response in Node, the data is in the desired order. However, when I log the data from .success(function(data)), the fields are alphabetized and the rows are put in random order).
I am sending a JSON object (an array of rows EX. {"b":"blah","a":"aye"}). However the row is received in Angular as {"a":"aye","b":"blah"}.
Desired affect -> Use column and row ordering from SQL query in client view. Remove "magic" angular is using to order information.
In Javascript, the properties of an object do not have guaranteed order. You need to send a JSON array instead:
["blah", "aye"]
If you need the column names as well you can send down an array of objects:
[{ "col":"b", "value":"blah" }, { "col":"a", "value":"aye" }]
Or alternatively, an object of arrays:
{ "col": ["b", "a"], "value": ["blah", "aye"] }
Edit: After some more thought, you're ideal JSON structure would probably look like this:
{
"col": ["b","a"],
"row": [
["blah","aye"],
["second","row"],
["and","so on"]
]
}
Now instead of getting "blah" from accessing table[0]['b'] like you would've before, you'll need to do something like table.row[0][table.col.indexOf('b')]
Related
I am using a PostgreSQL database where the column names are in snake case, but want them converted to camel case before sending the JSON response. Is this possible in CakePHP?
I tried aliases in select but this breaks the associated records fetching.
For example. My current response is:
[
{
"article_id": 1,
"author_id": 1,
...
}
]
I would like it to be:
[
{
"articleId": 1,
"authorId": 1,
...
}
]
You are most likely looking for sth like
https://fractal.thephpleague.com/
A transformer layer between data collecting and data rendering.
Look at this plugin:
https://github.com/andrej-griniuk/cakephp-fractal-transformer-view
If it is not maintained (I didnt check), you can always fork and maintain that one yourself.
I'm building a logic app that pulls some JSON data from a REST API, parses it with the Parse JSON block, and pushes it to Azure Log Analytics. The main problem I'm hitting is an important JSON field can either be an object or null. Per this post I changed the relevant part of my JSON schema to something like this
"entity": {"type": ["object", "null"] }
While this works, I'm now no longer to access entity later in the logic app as dynamic content. I can access all other fields parsed by the Parse JSON block downstream in the logic (that don't have nullable field). If I remove the "null" option and just have the type set to object, I can access entity in dynamic content once again. Does anyone know why this might be happening and/or how to access the entity field downstream?
Through the test, if we use "entity": {"type": ["object", "null"] }, we really cannot directly select entity in dynamic content.
But we can use the following expression to get the entity:
body('Parse_JSON')?['entity']
The test results seem to be no problem:
For a better understanding, let me cite a few more examples:
1. If your json is like this：
{
"entity": {
"testKey": "testValue"
}
}
Your expression is like this:
body('Parse_JSON')?['entity']
2. If your json is like this：
{
"test": {
"entity": {
"testKey": "testValue"
}
}
}
Your expression should like this:
body('Parse_JSON')?['test']?['entity']
I'm trying to get Azure Data Factory to read my REST API and put it in SQL Server. The source is a REST API and the sink is a SQL Server table.
I tried to do something like:
"translator": {
"type": "TabularTranslator",
"schemaMapping": {
"$": "json"
},
"collectionReference": "$.tickets"
}
The source looks like:
{ "tickets": [ {... }, {...} ] }
Because of the poor mapping capabilities I'm choosing this path. I'll then split the data with a query. Preferbly I'd like to store each object inside tickets as a row with JSON of that object.
In short, how can I get the JSON output from the RestSource to a SqlSink single column text/nvarchar(max) column?
I managed to solve the same issue by modifying mapping manually.
ADF anyway tries to parse json, but from the Advanced mode you can edit json paths. Ex., this is the original schema parsed automatically by ADF
https://imgur.com/Y7QhcDI
Once opened in Advanced mode it will show full paths by adding indexes of the elements, something similar to $tickets[0][] etc
Try to delete all other columns and keep the only one $tickets (the highest level one), in my case it was $value https://i.stack.imgur.com/WnAzC.jpg. As the result the entire json will be written into the destination column.
If there are pagination rules in place, each page will be written as a single row.
I have a large JSON file which contains an array. I am using Firebase for my app's backend and I want to use FirebaseArray to store the data.
It is simple to create a FirebaseArray from my Angular app and add data to it, but the nature of my app is that I have fetched data which I need to first import into Firebase somehow.
On the Firebase website the only option for importing is from a JSON. When I import my JSON file, the result is an object with numerical keys, which I realize is like an array, but has a major issue.
{
"posts": {
"0": {
"id": "iyo0iw",
"title": "pro patria mori"
},
"1": {
"id": "k120iw",
"title": "an english title"
},
"2": {
"id": "p6124w",
"title": "enim pablo espa"
}
}
}
Users are able to change the position of items, and the position of an item is also how items are uniquely identified. With multiple users this means the following problem can occur.
Sarah: Change post[0] title to "Hello everyone"
Trevor: Swap post[1] position with post[2]
Sarah: Change post[1] title to "This is post at index 1 right?"
If the following actions happen in a short space of time, Firebase doesn't know for sure what Sarah saw as post[1] when they changed the title, and can't know for sure which post object to update.
What I want is a way to import my JSON file and have the arrays become FirebaseArrays, not objects with numerical keys, which are like arrays and share the issue described above.
What you imported into your database is, in fact, an array. Firebase Realtime Database only really represents data as a nested hierarchy of key/value pairs. An array is just a set of key/value pairs where the the keys are all numbers, typically starting at 0. That's exactly the structure you're showing in your question.
To generate the sort of data that would be created by writing to the database using an AngularFire FirebaseArray, you would need to pre-process your JSON.
Firebase push IDs are generated on the client and you can generate one by calling push without arguments.
You could convert an array to an object with Firebase push ID keys like this:
let arr = ["alice", "bob", "mallory"];
let obj = arr.reduce((acc, val) => {
let key = firebase.database().ref().push().key;
acc[key] = val;
return acc;
}, {});
Let's say I have the following document schema in a collection called 'users':
{
name: 'John',
items: [ {}, {}, {}, ... ]
}
The 'items' array contains objects in the following format:
{
item_id: "1234",
name: "some item"
}
Each user can have multiple items embedded in the 'items' array.
Now, I want to be able to fetch an item by an item_id for a given user.
For example, I want to get the item with id "1234" that belong to the user with name "John".
Can I do this with mongoDB? I'd like to utilize its powerful array indexing, but I'm not sure if you can run queries on embedded arrays and return objects from the array instead of the document that contains it.
I know I can fetch users that have a certain item using {users.items.item_id: "1234"}. But I want to fetch the actual item from the array, not the user.
Alternatively, is there maybe a better way to organize this data so that I can easily get what I want? I'm still fairly new to mongodb.
Thanks for any help or advice you can provide.
The question is old, but the response has changed since the time. With MongoDB >= 2.2, you can do :
db.users.find( { name: "John"}, { items: { $elemMatch: { item_id: "1234" } } })
You will have :
{
name: "John",
items:
[
{
item_id: "1234",
name: "some item"
}
]
}
See Documentation of $elemMatch
There are a couple of things to note about this:
1) I find that the hardest thing for folks learning MongoDB is UN-learning the relational thinking that they're used to. Your data model looks to be the right one.
2) Normally, what you do with MongoDB is return the entire document into the client program, and then search for the portion of the document that you want on the client side using your client programming language.
In your example, you'd fetch the entire 'user' document and then iterate through the 'items[]' array on the client side.
3) If you want to return just the 'items[]' array, you can do so by using the 'Field Selection' syntax. See http://www.mongodb.org/display/DOCS/Querying#Querying-FieldSelection for details. Unfortunately, it will return the entire 'items[]' array, and not just one element of the array.
4) There is an existing Jira ticket to add this functionality: it is https://jira.mongodb.org/browse/SERVER-828 SERVER-828. It looks like it's been added to the latest 2.1 (development) branch: that means it will be available for production use when release 2.2 ships.
If this is an embedded array, then you can't retrieve its elements directly. The retrieved document will have form of a user (root document), although not all fields may be filled (depending on your query).
If you want to retrieve just that element, then you have to store it as a separate document in a separate collection. It will have one additional field, user_id (can be part of _id). Then it's trivial to do what you want.
A sample document might look like this:
{
_id: {user_id: ObjectId, item_id: "1234"},
name: "some item"
}
Note that this structure ensures uniqueness of item_id per user (I'm not sure you want this or not).