Gson VS CouchDB

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.

CouchDB

CouchDB is a json based database for simple projects. The fork pouchdb offers lots of support for offline.

Apache CouchDB belongs to the family of NoSQL databases. It is a document store with a strong focus on replication and reliability. One of the most significant differences between CouchDB and a relational database (besides the absence of tables and schemas) is how you query data. Relational databases allow their users to execute arbitrary and dynamic queries via SQL. Each SQL query may look completely different than the previous one. These dynamic aspects are significant for use cases where you work exploratively with your dataset but don't matter as much in a web context. Additionally, defining an index for a specific table is optional. Most developers will define indices to boost performance, but the database does not require it.

I just turns out you can't always do that in a real codebase. For example see here:

  https://github.com/apache/couchdb/blob/23efd8e5b1aa96ef01640fec03a5fedc945ba8b9/src/couch_mrview/src/couch_mrview_http.erl#L228

Example: Apache Cassandra, CouchDB.

For non-SQL-based databases, consider MongoDB, or CouchDB, which are very easy to get started with.

The Apache CouchDB server. It stores Annotation data.

CouchDB