How to Implement Complex Form Data?
I’m supposed to implement a relatively complex form that looks like follows, but has at least four more pages requiring the user to fill in all necessary information for the tracks:
How to Handle Large File Uploads in Angular and Hibernate Without Exceeding HTTP Request Size Limit?
Description
I am working on an application using Angular (front-end) and Hibernate (back-end). My use case involves uploading multiple images, which I convert to base64 format and send as JSON with additional information for each image from the front-end.
Storing user uploaded images / files in multi server env
In a multi server system, e.g. a load balancer, multiple web servers and a database server, where do you store the files / images users upload when each web server will need access?
Storing user uploaded images / files in multi server env
In a multi server system, e.g. a load balancer, multiple web servers and a database server, where do you store the files / images users upload when each web server will need access?
Storing user uploaded images / files in multi server env
In a multi server system, e.g. a load balancer, multiple web servers and a database server, where do you store the files / images users upload when each web server will need access?
Storing user uploaded images / files in multi server env
In a multi server system, e.g. a load balancer, multiple web servers and a database server, where do you store the files / images users upload when each web server will need access?
Saving to file before storing into a database in a REST service
A mobile back-end I am building should receive a larger amount of data (some sensor recordings) from an Android phone. The phone does not have much use of it so it was most efficient to store the data into plain files (SQLite can get quite slow with larger amounts). Now when we upload the data to a REST service backed with a distributed database, we have another issue. Storing to it takes some time, since it is really a lot. I thought of uploading the file to the web service as fast as possible, leave the phone alone, cache the file somewhere on the server and then some long-running workers will pick the data up and chunk it into databases. We have some other mechanisms to verify the data is properly stored and so on, but that is not important.
Saving to file before storing into a database in a REST service
A mobile back-end I am building should receive a larger amount of data (some sensor recordings) from an Android phone. The phone does not have much use of it so it was most efficient to store the data into plain files (SQLite can get quite slow with larger amounts). Now when we upload the data to a REST service backed with a distributed database, we have another issue. Storing to it takes some time, since it is really a lot. I thought of uploading the file to the web service as fast as possible, leave the phone alone, cache the file somewhere on the server and then some long-running workers will pick the data up and chunk it into databases. We have some other mechanisms to verify the data is properly stored and so on, but that is not important.
Saving to file before storing into a database in a REST service
A mobile back-end I am building should receive a larger amount of data (some sensor recordings) from an Android phone. The phone does not have much use of it so it was most efficient to store the data into plain files (SQLite can get quite slow with larger amounts). Now when we upload the data to a REST service backed with a distributed database, we have another issue. Storing to it takes some time, since it is really a lot. I thought of uploading the file to the web service as fast as possible, leave the phone alone, cache the file somewhere on the server and then some long-running workers will pick the data up and chunk it into databases. We have some other mechanisms to verify the data is properly stored and so on, but that is not important.
Saving to file before storing into a database in a REST service
A mobile back-end I am building should receive a larger amount of data (some sensor recordings) from an Android phone. The phone does not have much use of it so it was most efficient to store the data into plain files (SQLite can get quite slow with larger amounts). Now when we upload the data to a REST service backed with a distributed database, we have another issue. Storing to it takes some time, since it is really a lot. I thought of uploading the file to the web service as fast as possible, leave the phone alone, cache the file somewhere on the server and then some long-running workers will pick the data up and chunk it into databases. We have some other mechanisms to verify the data is properly stored and so on, but that is not important.