I am using Angular-datatables for tabular pagination of JSON data. My JSON data is of 1000 records and it takes time to load. I want to load only 100 records at the very first time and when I click on 'Next' button, the next 100 records should gets loaded. I am new in Angular please help me and guide.
Okay that might reduce the time taken to load your files but on the contrary it makes you send 100 requests to the server which is not good.
When dealing with huge data you cannot expect much speed. But, You can optimize the ng-repeat performance by using
Track by
BindOnce
Infinite Scroll
These things will improve the performance to an extent.
Related
There is the code which is already developed, I need to improve performance issue where code is build in angularjs. The page is getting loaded with grid having default 10 records with no issues. But issues occur when we select dropdown and if we select 50 or 100 records need to load that time performance issues occur to load the grid.Due to design, the controller variable is been use i.e for eg abc goes in digest cycle when search is made to get the data.With the large data, it creates delay in grid refresh.
The directive is created to load the data. There is no use of ng-repeat. Requesting for solution
In this way the grid is bind.Can any one tell me Y ~ this sign has been used
I have a requirement to consume huge volume of data ( like more than 100000 rows) by calling API end point and Data format is JSON and display them in react page. I am developing the logic using React-Table, but would like to hear experts opinion to know whether this is possible in reactjs? Is React-Table the right option in reactjs? Will there be performance issues?
Yes this is surely possible but involves the usage of virtual views like react-virtualized
The problem with 100k rows is that first render takes a lot of time, scroll could be tedious and every re-render takes a significant amount of time too.
With virtual views data is rendered only in active viewport and element are added/removed upon scroll reducing the rendering/reconciliation payload.
. Requesting the page(on HTTP or WebPage), it is very slow or even crash unless i load my JSON with fewer data. I really need to solve this since sooner or later i will be using large amount of data frequently. Here are my JSON data. --->>>
Notes:
1. The JSON loads only String and Integer.
2. I used to view my JSON in JSONView more like treeview using plugin
from GoogleChrome.
I am using angular and nodejs. tq
A quick resume of all the things that comes to my mind :
I had a similar issue once. My solutions may make the UI change.
Pagination
I doubt you can display that much data at one time, so the strategy should be divising your data in small amounts and then only load more when the client ask for it.
This way, the whole data is no longer stored in RAM as it is currently. This is how forums works (only 20 topics at a time).
Just imagine if StackOverflow make you load the whole historic of questions in the main page, how much GB would your navigator need just for that ?
You can use pagination in a classic way (button with page number, like google), or in an infinite scroll way, as you want.
For that you need to adapt your api and keep track of the index of the pages you already loaded at every moment in your Front. There are plenty of examples in AngularJS.
Only show the beginning of the data
When you look at Facebook comments, you may have a "show more" button. In their case, maybe it's to not break the UI, but it can also be used to not overload data.
You can display only the main lines of your datae (titles or somewhat) and add a button so the user can load more details if they want.
In your data model, the cost seems to be on the second level of "C". Just load data untill this second level, and download the remaining part (for this object) only if the user asks for.
Once again, no need to overload, your client's RAM will be thankfull, and your client's mobile 3G too.
Optimize your data stucture
If this is still not enough :
As StefanArya said in comment, indeed remove the "I" attribute, which is redundant with the JSON key.
Remove the "I" as you can use Object.keys() to get key name.
You also may don't need that much precision on your floats.
If I see any other ideas, I'll edit this post later.
I have a json file which has about 8000 contacts in it, fetching all that data takes a very long time with angularjs using ng-repeat, is there any fix for this?
You cannot expect much speed when retrieving such large records. You can optimize the ng-repeat performance by using
Track by
BindOnce
Infinite Scroll
These things will improve the performance to an extent.
Our Utilty has one single table, and it has 10 million to 50 million rows, There may be a case we need to show 50 million rows in a single page html client page, To show the rows in browser we use jQuery in UI.
To retrieve rows we use Hibernate and use Spring for MVC. I am looking for best practice in retrieving the rows and showing in UI. Should I retrieve a bulk of thousands rows or two thousand rows in Hibernate and buffer to Web Client or a best practice is there ?
The best practice is not to do this. It will explode the browser memory and rendering engine, and will take too much time to load.
Add a search form to your webapp, make the end user search for what he's interested about, and only display the N first search results, just like Google does.
Nobody is able to do anything meaningful with 50 million rows without searching anyway.
i think you should use scroll pagination (when user reaches to almost bottom of page makes ajax call and load data).
Just for example quick google example & demo
and if your data is tabular then you can use jQGrid
Handling a larger quantity of data in an application must be done via virtualization. While it's true that the user will be overwhelmed by millions of records, it's not exactly true that they can't do stuff with it, nor that such quantities of data are unfathomable.
In practice and depending on what you're doing you'll note that this limit crops up on you with just thousands of records. Which frankly is very little data. Data centric apps just need a different approach, altogether, if they are going to work in a browser and perform well.
The way we do this is quite simple but not all that straightforward.
It helps to decide on a fixed height, because you will need to know the max height of a scrollable container. You then render into this container the subset of records that can be visible at any given moment and position them accordingly (based on scroll events). There are more or less efficient ways of doing this.
The end goal remains the same. You basically need to cull everything which isn't directly visible on screen in such a way that the browser isn't paying the cost of memory and layout logic for the app to be responsive. This is common practice in game development, only the world that is visible right now on screen is ever present at any given moment. So that's what you need to do to get large quantities of stuff to behave well.
In the context of a browser, anything which attributes to memory use and layout/render cost needs to go away if it's isn't absolutely vital.
You can also stagger and smear recalculations so that you don't incur the cost of whatever is causing the app to degrade on every small update. The user can afford to wait 1 second, if the apps remains responsive.