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I think the act of spinning up ~4000 MongoTargets for the Equities caused things to blow up; this way connections will only by created/used when operations are being performed. This is theoretically less efficient, but from what I've read in the documentation Mongo should have some pooling tricks to not sacrifice performance. |
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.. | ||
flows | ||
targets | ||
tasks | ||
__init__.py | ||
batch.py | ||
conf.py | ||
default.conf | ||
trading_days.py | ||
utils.py |