ANN: Takusen 0.8.3

Changes since 0.8.1 (I put 0.8.2 up on hackage with an error
in Setup.hs,
so it's been skipped):

 - ODBC support: datetime marshalling is improved. For bind
parameters
   this uses the timestamp struct for most back-ends, but
String for
   MS SQL Server because populating the timestamp struct
always failed.

 - more Cabal improvements: now uses configurations, so the
Setup.hs
   script should be both simpler and more robust. Requires
Cabal >= 1.4.
   Oracle backend on Linux should build nicely.

 - bug fix for a resource leak if an exception was thrown
when initiating
   a query (the Statement handle was not closed).

 - some basic result-set validation against the iteratee: if
you try to
   fetch a column that is not in the result-set, an error is
thrown
   (rather than garbage returned).


The release bundle:
  http://hackage.haskell.org/package
s/archive/Takusen/0.8.3/Takusen-0.8.3.tar.gz
The latest code:
  darcs get http://darcs.haskell
.org/takusen
Docs:
  
http://darcs.haskell.org/takusen/doc/html/index.html

A comprehensive description of API usage can be found in the
documentation
for module Database.Enumerator (look for the Usage
section):
  http://darcs.haskell.org/takusen/doc/html/Data
base-Enumerator.html


Future plans:

 - Output bind-parameters and multiple-result sets for ODBC

 - FreeTDS backend (Sybase and MS Sql Server)

 - support for Blobs and Clobs


For those of you unfamiliar with Takusen, here is our HCAR
blurb:

Takusen is a DBMS access library. Like HSQL and HDBC, we
support
arbitrary SQL statements (currently strings, extensible to
anything
that can be converted to a string).

Takusen's 'unique-selling-point' is safety and efficiency.
We statically ensure all acquired database resources - such
as cursors, connection and statement handles - are released,
exactly
once, at predictable times. Takusen can avoid loading the
whole result
set in memory, and so can handle queries returning millions
of rows in
constant space. Takusen also supports automatic marshalling
and
unmarshalling of results and query parameters. These
benefits come
from the design of query result processing around a
left-fold
enumerator.

Currently we fully support ODBC, Oracle, Sqlite, and
PostgreSQL.
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