On 4/11/2014 9:45 AM, Jack.O'Sullivan@tessella.com wrote:
> I am working for a client who is interested in migrating from Oracle to
> Postgres. Their database is currently ~20TB in size, and is growing. The
> biggest table in this database is effectively a BLOB store and currently
> has around 1 billion rows.
>
> From reading around Postgres, there are a couple of limits which are
> concerning in terms of being able to migrate this database. We are not
> up against these limits just yet, but it is likely that they will be a
> potential blocker within the next few years.
>
> 1) Table can be maximum of 32TB (http://www.postgresql.org/about/)
>
> 2) When storing bytea or text datatypes there is a limit of 4 billion
> entries per table (https://wiki.postgresql.org/wiki/BinaryFilesInDB)
>
> With both of these, are they hard limits or can they be worked around
> with partitioning of tables? Could we set the table up in such a way
> that each child table was limited, but there was no limit on the number
> of children?
>
> With point two, does this mean that any table with a bytea datatype is
> limited to 4 billion rows (which would seem in conflict with the
> "unlimited rows" shown by http://www.postgresql.org/about)? If we had
> rows where the bytea was a "null" entry would they contribute towards
> this total or is it 4 billion non-null entries?
>
> Thanks.
Sorry I cant answer any of your questions, but I do have a few more to
raise:
1) I assume Oracle is pretty efficient on disk. You might wanna do a
quick test of a million rows or so and compare the on disk size of an
Oracle db vs PG. It wouldn't surprise me if PG used more space. (I
mean regular varchar, integer, etc.)
2) Does the Oracle blob compress? PG will compress but I'd bet they
compress differently. Again, you might wanna dump out a million blobs
and compare their space usage. At 20TB, a 10% increase in disk usage is
quite a bit.
3) There are two ways to store blob data. Bytea in your table and Large
Object support (in a separate table). Google "postgres bytea vs large
object" might offer useful reading.
I don't know if bytea or large object offer more efficient storage, but
it might be another thing you can test. Large object might be a little
more work to use, but if it saves lots of disk space, it might be worth it.
4) is this blob data binary'ish? We have json/hstore if its text'ish,
which might make it more usable.
-Andy
