coherence VS hazelcast-python-client

There are a few different tool-sets for producing Java byte code. I'm not sure which one to suggest, because back when I last needed one (end of '96), there were none, so I wrote my own. But I assume that most people use ASM or something similar.

This is one that I like a lot. Years ago (1997 timeframe) I had implemented it in a Java compiler, and a few years later in a Java library (https://github.com/oracle/coherence/blob/4e6e343e1ffd9bbfea3...) that would create an exception on the assertion failure and parse its stack trace to find the source code file name, and read it to find the text of the assertion that failed, etc. so it could build the error message ...

In Ecstasy, we built the support directly into the compiler again:

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For the debugger (but not required by the runtime), there is an optional table that points to the ranges of ops at which names and types are bound to registers

FWIW - here's an AST for Java that directly emits Java byte code: https://github.com/oracle/coherence/tree/master/prj/coherence-core/src/main/java/com/tangosol/dev/compiler/java

It has been "experimented with" many times. Here's an example from TDE, a component-based development environment from Tangosol (now part of Oracle).

If it helps, here's a Java recursive descent parser that I wrote years ago.

If you want to see an example, here's a Context interface from a multi-language compiler framework (compiling multiple different languages to Java byte-code) that I wrote years ago.

I built an entire Java compiler in four months, from scratch, by myself, over twenty years ago. (Now owned by Oracle; still used today. Thank you, Larry.) But starting from a well written spec for a simple language like Java is orders of magnitude easier than developing a new language, runtime model, and tool-chain from scratch.

As mentioned, the various parsing methods each contribute back an AST node, so on the way down the recursion, they are parsing, and on the way back up from the recursion, they are building the tree. Here's a fairly simple recursive descent Java compiler written in Java that I wrote a few years back, in case you are looking for an example.

If you're curious how some of this can be implemented in a Java compiler, I wrote one years ago. For example, checking that the left side is an l-value:

More code samples here: https://github.com/hazelcast/hazelcast-python-client/tree/master/examples

The Map interface is the same when you activate the near cache. You can just use the usual Map methods, like set and put. See tests for near cache at: https://github.com/hazelcast/hazelcast-python-client/blob/master/tests/integration/backward_compatible/proxy/map_nearcache_test.py

See a sample usage with Map below. For all code sample, click here :)