physical conversion when there are dropped columns in the same places in
the input and output tupdescs. This avoids possible performance loss from
the recent patch to improve dropped-column handling, in some cases where
the old code would have worked.
truncate_identifier won't do anything if the passed-in strlen is already
less than NAMEDATALEN, which it always would be given the strlcpy usage.
This has been broken since the arrays-of-composite-types code went in.
Arguably truncate_identifier is suffering from excessive optimization
and should always process the string, but for the moment I'll take the
more localized patch.
Per bug #4987.
This test is clearly not being used anymore, since it's been broken for
long periods of time without anyone noticing. Per discussion, it's not
worth keeping in our source tree.
for standalone backends.
Although we probably ought to just remove this long-obsolete test case from
our code, it seems worthwhile to document the issue and fix in CVS first.
Jeff Janes
Add some checks on various data types are converted into and out of Python.
This is extracted from Caleb Welton's patch for improved bytea support,
but much expanded.
When examining what Python type to convert a PostgreSQL type to on input,
look at the base type of the input type, otherwise all domains end up
defaulting to string.
I mistakenly removed it last month, thinking it was no longer needed ---
but it is still needed for dealing with joininfo lists. Fortunately this
bit of brain fade hadn't made it into any released versions yet.
does match some unique index on the referenced table, but that index is
only deferrably unique. We were doing this nicely for the
default-to-primary-key case, but were being lazy for the other case.
Dean Rasheed
To make this work in the base case, pg_database now has a nailed-in-cache
relation descriptor that is initialized using hardwired knowledge in
relcache.c. This means pg_database is added to the set of relations that
need to have a Schema_pg_xxx macro maintained in pg_attribute.h. When this
path is taken, we'll have to do a seqscan of pg_database to find the row
we need.
In the normal case, we are able to do an indexscan to find the database's row
by name. This is made possible by storing a global relcache init file that
describes only the shared catalogs and their indexes (and therefore is usable
by all backends in any database). A new backend loads this cache file,
finds its database OID after an indexscan on pg_database, and then loads
the local relcache init file for that database.
This change should effectively eliminate number of databases as a factor
in backend startup time, even with large numbers of databases. However,
the real reason for doing it is as a first step towards getting rid of
the flat files altogether. There are still several other sub-projects
to be tackled before that can happen.
to access a Relation entry it had just closed. I happened to be testing with
CLOBBER_CACHE_ALWAYS, which made this a guaranteed core dump (at least on
machines where sprintf %s isn't forgiving of a NULL pointer). It's probably
quite unlikely that it would fail in the field, but a bug is a bug. Fix by
moving the relation_close call down past the logging action.
of the previous monolithic setup-create-run sequence, that was apparently
inherited from a previous test infrastructure, but makes working with the
tests and adding new ones weird.
It turns out that Python 2.2 is the oldest version that PL/Python compiles
with, apparently related to the introduction of iterators. Might as well
document this.
Documentation files in HTML and man formats are now prepared for
distribution using the distprep make target, like everything else. They
are placed in doc/src/sgml/html and manX and installed from there by
make install, if present. The business with the tarballs in the tarball
is gone.
two new lists, rather than repeatedly rescanning the main TOC list.
This avoids a potential O(N^2) slowdown, although you'd need a *lot*
of tables to make that really significant; and it might simplify future
improvements in the scheduling algorithm by making the set of ready
items more easily inspectable. The original thought that it would
in itself result in a more efficient job dispatch order doesn't seem
to have been borne out in testing, but it seems worth doing anyway.
