262e8454f9
If the calling code provides timestamp/value pairs with duplicate timestamps pandas will raise a ValueError when trying to operate on the index of the data set. We avoid this problem by removing duplicates in the timeseries. The assumption being made here is that some single metric can't have two different measurements at the same time, that's a violation of physics. The change is in place for both __init__ and set_values to insure that the internal representation of the timeseries is consistent no matter how it is created. Change-Id: Ib293714e26eca6b5de7cd4a2307569ab3d8a9c43 Closes-Bug: #1475329 |
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devstack | ||
doc/source | ||
etc/gnocchi | ||
gnocchi | ||
tools | ||
.gitignore | ||
.gitreview | ||
.testr.conf | ||
LICENSE | ||
README.rst | ||
generate-config-file.sh | ||
requirements-py3.txt | ||
requirements.txt | ||
run-tests.sh | ||
setup-mysql-tests.sh | ||
setup-postgresql-tests.sh | ||
setup.cfg | ||
setup.py | ||
test-requirements-py3.txt | ||
test-requirements.txt | ||
tox.ini |
README.rst
Gnocchi
Gnocchi is a service for managing a set of resources and storing metrics about them, in a scalable and resilient way. Its functionalities are exposed over an HTTP REST API.
There is a more consistent presentation of Gnocchi:
https://julien.danjou.info/blog/2015/openstack-gnocchi-first-release
And online documentation:
Your are invited to file bug reports (if you find bugs) in the bug tracker, available at: