pantalaimon VS ndjson.github.io

Well, if you want end-to-end encryption, then obviously that's going to be hard to write from scratch(!) - especially if you want it to be secure. However, we make it trivial to get up and running by piping your client through a proxy like Pantalaimon (https://github.com/matrix-org/pantalaimon/) which takes your normal traffic and makes it E2EE.

Not sure which "any of the other tablestakes features" you have in mind... obviously if you want loads of features, then you're going to have to write a whole bunch of code to implement them in your client, or build on an existing SDK like matrix-bot-sdk, matrix-rust-sdk, matrix-js-sdk etc. Not sure that's a disadvantage of Matrix though(!)

I've tried to set up some Matrix projects. The Client-Server API is easy to work with, but as soon as encryption is involved, things start getting messy. Many libraries have a hard time working right with E2EE enabled, because suddenly you need to keep track of all manner of things that aren't always documented well.

I tried to hack E2EE in by using Pantalaimon [0] but running that on a server with the necessary management capabilities is very tricky and doesn't do cross signing, so I've come to the conclusion that it's effectively useless for my use cases.

Every now and then I check back on the current state of E2EE in libraries and it does seem to be improving. Hopefully the entire process becomes easier next time I get the time to work on my proof of concept code.

[0]: https://github.com/matrix-org/pantalaimon

It takes a bit more configuration, but possible via pantalaimon

However, since every JSON document can be represented in a single line, something like newline-delimited JSON / JSON Lines feels like it would've been more suitable for that kind of data.

No one uses that format for streamed json, see ndson and jsonl

http://ndjson.org/

The size complaint is overblown, as repeated fields are compressed away.

As other folks rightfully commented, csv is a mine field. One should assume every CSV file is broken in some way. They also don't enumerate any of the downsides of CSV.

What people should consider is using formats like Avro or Parquet that carry their schema with them so the data can be loaded and analyzed without have to manually deal with column meaning.

What is ndjson? Newline delimited JSON is the format the Algolia CLI reads from and writes to files. This means that any command that passes ndjson formatted data as output or accepts it as input can be piped together with an Algolia CLI command! We’ll see more of this in the next example

You might consider using json-lines format (also known as newline-delimited JSON), in which each line is a separate JSON document so they can be loaded individually.

The format you're getting is known as Newline-Delimited JSON. Instead of trying to parse the whole input and pass that to the JSON Decoder, you can use something like bufio.Scanner to get and parse it line by line.

This is in oposition to NDJSON, which allows to split records without deserializing JSON itself, via e.g. read_lines. fwiw CSV suffers from the same problem as JSON - generally not possible to break into records without deserializing. It is worse than NDJSON because the character \n may appear at any position within an item, thus forbidding read_lines.

I've always seen it referred to as ndjson

I think this would be fine, as long as the CSV layer was still parsable using the RFC 4180, then you could still use a normal CSV parser to parse the CSV layer and a normal JSON parser to parse the JSON layer. My worry with your example is that it is nether format, so it will need custom serialisation and deserialisation logic as it is essentially a bran new format.

https://datatracker.ietf.org/doc/html/rfc4180

If you’re looking for line-oriented JSON, another option would be ndjson: http://ndjson.org/