Gson VS RethinkDB

Most of the time is spent in JSON parsing, specifically in AccessLogAggregator.parseLineJson. Within parsing, the majority of time is spent in org/json/JSONObject.. Since there are faster JSON libraries available, we'll switch to Gson and repeat the tests. To do this, we'll add the following method to our code:

In this concrete example we'll create 3 products. We can then convert this JSON to the list of products using Gson.

Gson has been in maintenance mode for at least 6 years. It's kind of a shame, because the API and implementation were a lot cleaner than Jackson.

For more information on native-image build arguments, please consult the GraalVM Native Image Options documentation. The next listing contains the contents of reflect.json, which contains a bunch of data classes that we need to serialize and deserialize with Gson, as well as our Lambda handler class which the runtime needs to instantiate based on the qualified class name passed to the Lambda function.

The loadModel() method is special. It needs to dynamically update the model path specified in the JSON-formatted template file according to the extraction path of the Jar package. Gson can be used to load and update the JSON object.

If you check out the Gson user's guide, there's a section titled "JSON Field Naming Support" which explains how to do this. There are also lots of examples if you google "gson rename field".

gson

I am not sure if this is what you are looking for, but allot of projects that I worked on used gson to convert between Java objects and JSON strings (https://github.com/google/gson). Maybe you should check it out.

Since this JSON contains the JSON representation of Java objects that are unknown in PoSh/.NET, all you could do is extract the provided object data (values), but not the objects themselves. In order to extract the "real" objects as they're defined, you'd have to start from the Java side, and use a tool like Gson.

I've been poking around, testing and breaking database servers for a long time (more than 20 years today). But a few years ago I came across a jewel, the grail, one of the best solutions available. Under the radar, shunned for whatever reason, RethinkDB is nonetheless one of the finest database server projects I've ever tested.

RethinkDB[0] looks like a "too good to be true" type of database. Anyone using it in production? What is your experience like? What are the pros and cons?

[0] https://rethinkdb.com

Since you’re not new to the field you might want to peek https://rethinkdb.com/ since it got picked up as an open source project.

No I don't think that's relevant. They implement their own btree it seems [0].

They don't use a key-value store library.

I know it's a bit of a fine line. But I'm talking about standalone libraries people embed across different applications/databases. That's what RocksDB/LevelDB/Pebble are.

[0] https://github.com/rethinkdb/rethinkdb/tree/v2.4.x/src/btree

A Data Objects represents data which can be saved inside a database. This concept is in the heart of SQLAlchemy, but as the name should be obvious: it's for SQL Database (in general). Today, there are now document databases too (like MongoDB, ArangoDB, RethinkDB that I love so much, or even PostgreSQL). So, a "data" is like a "structured and typed document" that you save "as is". That's not the same paradigm, not the same controls. There are advantages and disadvantages, but we won't debate that here.

There are multiple ways to share data between two (or more) instances of your app: - you can use a shared storage, such as Cloud Firestore, - you can build your own backend (based on a real-time database, such as RethinkDB), - or you can rely on local communication using the Multipeer framework you linked.