I'm currently using JSON (compressed via gzip) in my Java project, in which I need to store a large number of objects (hundreds of millions) on disk. I have one JSON object per line, and disallow linebreaks within the JSON object. This way I can stream the data off disk line-by-line without having to read the entire file at once.
It turns out that parsing the JSON code (using http://www.json.org/java/) is a bigger overhead than either pulling the raw data off disk, or decompressing it (which I do on the fly).
Ideally what I'd like is a strongly-typed serialization format, where I can specify "this object field is a list of strings" (for example), and because the system knows what to expect, it can deserialize it quickly. I can also specify the format just by giving someone else its "type".
It would also need to be cross-platform. I use Java, but work with people using PHP, Python, and other languages.
So, to recap, it should be:
Any pointers?
Have you looked at Google Protocol buffers?:
http://code.google.com/apis/protocolbuffers/
They're cross platform (C++, Java, Python) with third party bindings for PHP also. It's fast, fairly compact and strongly typed.
There's also a useful comparison between various formats here:
http://code.google.com/p/thrift-protobuf-compare/wiki/Benchmarking
You might want to consider Thrift or one of the others mentioned here as well.
I've had very good results parsing JSON with Jackson
Jackson is a:
JSON processor (JSON parser + JSON generator) written in Java. Beyond basic JSON reading/writing (parsing, generating), it also offers full node-based Tree Model, as well as full OJM (Object/Json Mapper) data binding functionality.
Its performance is very good when compared to many other serialisation options.
You could take a look at YAML- http://www.yaml.org/
It's a superset of JSON so the data file structure will be familiar to you. It supports some additional data types as well as the ability to use references that include a part of one data structure into another.
I don't have any idea if it will be "fast enough"- but the libyaml parser (written in C) seems pretty snappy.
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