Making and loading square tables with Lazy J, best approach

I always say, the fastest path is best. The machine has the IO_struct thing, it knows about square. I have already define machine_get_row and machine_get_colinfo. Sqlite3 will make a square for us, but how to we specify in Lazy J? Hmm...

We have machine index space, lets make a SystemSquare.
MySquare@SystemSquare,"name text who int where blob"
What did I do with the quotes? Something interesting, I said they enclosed a semi ordered set of words. Isn't that more interesting than "Don't look here" or "Some bytes" Or I suppose:
MySquare@SystemSquare,name:text.who:int.where:blob,xx
I like it, easy. Lazy J naturally parses that into binary object for @ interpreter. It look up SystemCall, System call gets the argument structure and does a fetch until the schema is done. Then courtesy of Sqlite3, it does the create.

So, in you use Lazy J as CSV files on steroids, identify a proprietary table format, up front. Then keep loading million of records, using named:value pairs, or just grouping values together. I have tested this machine with long list of variably groups key words, no problemo.

Let's make square tables, tables with many columns. Lazy J, the ninth wonder of the world.