On 05/28/2010 11:48 AM, Szymon Guz wrote:
Remember about Python's GIL in some Python implementations so those
threads could be serialized at the Python level.
My multi-threaded queries scale nicely with Python 2.6 on Linux, so this
is not an issue here. But the queries do not perform concurrent write
accesses on the same table.
This is possible that those inserts will be faster. The speed depends on
the table structure, some constraints and triggers and even database
configuration. The best answer is: just check it on some test code, make
a simple multithreaded aplication and try to do the inserts and check
that out.
Sure, testing always shows something, but I wonder if something general
can be said about the execution of concurrent write transaction on the
same table (no triggers, some non-NULL constraints, one index).
http://www.postgresql.org/docs/8.4/interactive/mvcc-intro.html says
about MVCC:
"
The main advantage of using the MVCC model of concurrency control rather
than locking is that in MVCC locks acquired for querying (reading) data
do not conflict with locks acquired for writing data, and so reading
never blocks writing and writing never blocks reading.
"
It does not mention whether writing may block writing, or if it always
does.
http://bytes.com/topic/python/answers/728130-parallel-insert-postgresql-thread
indicates it should not block - can this be confirmed by some Postgresql
guru?
thanks, Joachim
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