postsql | transforming PostgreSQL and PL/v8 | JSON Processing library

I have got series of data that contains some objects in one array(json file) and it will be shown by react

I am trying to insert a data into PostQSL data base from client to server. However, there is a error as:

Server error:

I kept getting this error on Cloud9:

I have an issue that's killing me. I have an AWS account and am hosting a GeoServer instance up there within a Docker container, launched through a docker-compose file. It works perfectly fine. I also have a PostgreSQL RDS instance up there. As far as I can tell, it's working fine. Getting them to communicate, that's been my problem.

My issue is that everything I've found indicates that GeoServer utilizes only PostSQL natively, and PostgreSQL not at all. AWS doesn't give the option to create a PostSQL RDS but, as it's an extension of PostgreSQL, this avenue seems the simplest to pursue.

So my challenge is to find a way for my dockerized GeoServer application to communicate with the RDS, and I'm leaning in the direction of incorporating the PostSQL extension into my docker-compose file. But this is all well over my head, as I've only begun learning these things recently, and it's specific enough that Google has hardly been a help at all. Can anyone give me some guidance with this endeavor?

I have PostGis database build on PostSql. Is there python or any language code to decode postgis hex?

For example, 0102000020E6100000020000007925A437FFFA53C04100AC0C45A14540035E8F61FFFA53C0747BD20945A14540

This is the data I have.

Thanks!

In PowerShell, how to search string pattern like below ?

We have a large Mac Application that uses CoreData to store about 10+ GB worth of data, to improve performance we break it up into smaller CoreData stores of about 0.25 GB to 1 GB representing the different projects a user use simultaneously, this lets users turn on and off which projects they want to work with and improves performance especially when they do things that span all active projects, we also have all our fetching and writing to CoreData in background threads so as not to block the user. The source of the data is from a remote shared MySQL database, uses don't alter the data in any way its just inspected, copying the data locally lets users use the data in ways that would be too slow on the remote database and when they are working off line. CoreData is using SQLite, I was recently reading people comment on how SQLite does not compare to products like PostSQL, MySQL and Oracle, would we benefit in performance if we used something like PostSQL or MySQL instead of CoreData, or do the benefits only come into play for multiple of users.