Adding tests for util/httputil/client with a 100% coverage.
Removing the NewDeadlineRoundTripper from util/httputil/client because
is not used.
Adding a new test util to check http.Request in http.RoundTrip interface
implementors.
With the squaring of the timestamp, we run into the
limitations of the 53bit mantissa for a 64bit float.
By subtracting away a timestamp of one of the samples (which is how the
intercept is used) we avoid this issue in practice as it's unlikely
that it is used over a very long time range.
Fixes#2674
Change index persistence for series to not be accumulated in memory
before being written as one large batch. `Labels` and `ChunkMeta`
objects are reused.
This cuts down memory spikes during compaction of multiple blocks
significantly.
As part of the the Index{Reader,Writer} now have an explicit notion of
symbols and series must be inserted in order.
Implement labels.PrefixMatcher and use interface conversion in querier
to optimize label tuples search.
[unit-tests]: Fix bug and populate label index for mock index.
Signed-off-by: Dmitry Ilyevsky <ilyevsky@gmail.com>
We would overscan when hitting a value directly, interspersed with
samples in between timestamps. Apparently, that happens rarely enough
that it was only noticed recently.
Kubernetes 1.7+ no longer exposes cAdvisor metrics on the Kubelet
metrics endpoint. Update the example configuration to scrape cAdvisor
in addition to Kubelet. The provided configuration works for 1.7.3+
and commented notes are given for 1.7.2 and earlier versions.
Also remove the comment about node (Kubelet) CA not matching the master
CA. Since the example no longer connects directly to the nodes, it
doesn't matter what CA they're using.
References:
- https://github.com/kubernetes/kubernetes/issues/48483
- https://github.com/kubernetes/kubernetes/pull/49079
This can happen in the situation where the system scales up the number of shards massively (to deal with some backlog), then scales it down again as the number of samples sent during the time period is less than the number received.
This can happen in the situation where the system scales up the number of shards massively (to deal with some backlog), then scales it down again as the number of samples sent during the time period is less than the number received.
