Any Ideas on Optimization of 'Mass Updating Objects' Time taken by Backendless
Hello Backendless ,
I played around and tried a few of things with Using Custom Business Logic . And I am in a problem. Joining some Bit of History on the Problem was Under the Comment at my Post :
I have to Update Multiple (around 200-1000) at least Of my Data Tables at Once. One Viable Built -in Solution matching somewhat near to it is using Backendless Messaging API and Sending a Message to a Channel of Followers.But, I want the data tables to be written in the Data Store. So , I tried Custom Business Logic and achieved it But The Time taken by Custom Server Code to update Objects were a bit on the slower Side. I took my average as
10 Data Tables/ Second. If I were to take 1000 of Data Tables (or Users to be Notfied under the hood ) , it would take me around 2 minutes for the Last User on the List to Recieve the Data .
I contacted with firstname.lastname@example.org Regarding this and I was said that the Execution time of the Server Code Limit can be uplifted If I host my App at Dedicated Servers, but the Rate of Writing Data Might still be the same ( or with little or no Optimizations ) as I was told by the Suppport Staff. Okay , I am ready to update my plans and raise the limit of Server Execution Time but , what i really want to happen is Those Writing Objects to Data Stores Operation happen a bit faster.
So , What's really bothering me Is If I could achieve a little bit faster rate of Writing Data to DataStore Tables. (Somewhere around 20 s / 1000 Tables ) FROM THE SERVER CODE ITSELF , NOT INVOLVING CLIENT Here.
Is this Thing Available Via Backendless,
If there are any ways, I can achieve this : Please guide me as this is really getting me Stuck