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authorChris Behrens <cbehrens@codestud.com>2013-02-18 02:35:34 +0000
committerChris Behrens <cbehrens@codestud.com>2013-02-18 17:52:16 +0000
commit02c12aade7a0c28c66cb45b54786c90c0ae8fb09 (patch)
tree1373a0e88aa6fda796f28205bef89c20dc21231b /openstack/common/processutils.py
parent615394e6dec650e3e9a94aaac8143f9cea88b0f5 (diff)
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Move DB thread pooling to DB API loader
Fixes bug 1128605 The dbpool code in sqlalchemy session is the wrong place to implement thread pooling as it wraps each individual SQL call to run in its own thread. When combined with SQL server locking, all threads can be eaten waiting on locks with none available to run a 'COMMIT'. The correct place to do thread pooling is around each DB API call. This patch removes dbpool from sqlalchemy and creates a common DB API loader for all openstack projects which implements the following configuration options: db_backend: Full path to DB API backend module (or a known short name if a project chooses to implement a mapping) dbapi_use_tpool: True or False whether to use thread pooling around all DB API calls. DB backend modules must implement a 'get_backend()' method. Example usage for nova/db/api.py would be: """ from nova.openstack.common.db import api as db_api _KNOWN_BACKENDS = {'sqlalchemy': 'nova.db.sqlalchemy.api'} IMPL = db_api.DBAPI(backend_mapping=_KNOWN_BACKENDS) """ NOTE: Enabling thread pooling will be broken until this issue is resolved in eventlet _OR_ until we modify our eventlet.monkey_patch() calls to include 'thread=False': https://bitbucket.org/eventlet/eventlet/issue/137/ Change-Id: Idf14563ea07cf8ccf2a77b3f53659d8528927fc7
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