Thank you David and Amit. This is more or less what I was looking for.

I _think_ I might be able to store the data as TEXT, which is highly
compressed by Toast, and then perhaps write the function in terms of a TEXT
to JSONB conversion.  I will give it a try. It might perform terribly, but
will be an interesting experiment.:)


On Fri, Aug 1, 2014 at 3:14 AM, David G Johnston <david.g.johns...@gmail.com
> wrote:

> larrry wrote
> > Hi,
> >
> > I would like to create a GIN index on a set of JSON documents. Right now
> > I'm storing the data in a JSONB column. The current index looks like
> this:
> >
> > CREATE INDEX document_payload_idx
> >   ON document
> >   USING gin
> >   (payload jsonb_path_ops);
> >
> > The index is pretty small, but the actual data takes up a *lot* of space.
> > Is there a way to get Postgres to index the table *as if* the JSON were
> > there, but not actually put the data in the table? I could either store
> > the
> > docs elsewhere and keep a reference, or compress them and put them in the
> > table in compressed form as a blob.
> >
> > Thanks much for your help.
> >
> > Larry
>
> No idea if this works but maybe you can store the compressed data and then
> write the index expression like:
>
> USING gin (unzip(payload) jsonb_path_ops)
>
> The unzip function would need to be custom I think...
>
> David J.
>
>
>
>
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