Image Path coming from DATA BASE but taking to much some time binding some time not binding ,when data come from server
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protected string PreviewImage(string filepath)
{
string imageUrl = "";
if (System.IO.File.Exists(filepath))
{
FileStream fs = new System.IO.FileStream(filepath, System.IO.FileMode.Open, System.IO.FileAccess.Read);
BinaryReader br = new BinaryReader(fs);
Byte[] bytes = br.ReadBytes((Int32)fs.Length);
br.Close();
fs.Close();
string base64String = Convert.ToBase64String(bytes, 0, bytes.Length);
imageUrl = "data:image/png;base64," + base64String;
}
return imageUrl;
}
CS
DataTable dt = AwardInfoClass.GetAwardPortalWise(varAwardPortal, PageNo, PageSize, out OutputVal);
grdSafety.DataSource = dt;
if (dt.Rows.Count == 0)
{
Pagingdata.Visible = false;
grdSafety.DataSource = null;
grdSafety.DataBind();
}
else
{
Pagingdata.Visible = true;
}
grdSafety.DataBind();
Mohammad HussainPosted Sep 14, 2023, 7:00 AM
It looks like you are trying to bind images in a GridView using a base64 data URI. However, you mentioned that it is taking too much time to bind and sometimes not binding at all. This could be due to the way you are handling images in your code.
Here are some suggestions to optimize the image binding process:
Caching Images: You should consider caching images on the server side or using a content delivery network (CDN) to reduce the load time. Instead of reading and converting the image file every time the page loads, you can store the base64 data URI or image URL in your database or cache.
Lazy Loading: If you have a large number of images to display in your GridView, you may want to implement lazy loading. Lazy loading loads images only when they become visible in the viewport, which can significantly improve page load times.
Data Paging: If you have a large dataset, consider implementing data paging to load and display a limited number of records at a time. This can improve performance by reducing the amount of data transferred and processed.
Image Thumbnails: If possible, create and store smaller thumbnail versions of the images. Display thumbnails in the GridView initially, and load the full-size image when a user clicks on a thumbnail.
Compression: If the images are large in size, consider compressing them on the server side to reduce the amount of data that needs to be transferred.
Database Indexing: Ensure that your database tables are properly indexed, especially if you are querying a large dataset. Indexing can significantly improve query performance.
ASP.NET Caching: You can also use ASP.NET's caching mechanisms to store the base64 data URI or image URL for a specific period, reducing the need to read and convert the image every time.
Client-Side Optimization: On the client side, consider using asynchronous loading for images to improve the user experience. You can use JavaScript techniques to load images after the page has loaded, reducing the initial load time.
Profiling and Monitoring: Use browser developer tools and server-side profiling tools to identify performance bottlenecks and optimize your code accordingly.
By implementing these optimizations, you should be able to improve the performance of image binding in your GridView and reduce the time it takes to load and display images.
Amit MohantyPosted Sep 13, 2023, 10:35 AM
In your GridView, use data-binding to directly set the ImageUrl property of the ImageButton controls. This way, you don't need to call the PreviewImage method for each row.
And in your GridView, bind the ImageUrl property directly:
With this approach, you load and convert the images only once when you fetch data from the database, which should significantly improve the performance of binding images in your GridView.
Ajay KumarPosted Sep 13, 2023, 10:22 AM
you can implement lazy loading using JavaScript:
In your GridView, set the
ImageUrlattribute to a placeholder image and use thedata-srcattribute to store the actual image URL. Add thelazy-imageclass to theimgelement:This way, the images will only be loaded when they are in the viewport, which can significantly improve the initial page load time and overall performance.