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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-28 09:43:18 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-04-28 09:43:18 +0000
commitcc5717cdf86886c3dbaea40dfc8dc9e501b1cf1f (patch)
tree2dae3914f7c48ebc5d0e27e9d3bdbaea8210a30f /test/cfg-jaeger.yml
parentInitial commit. (diff)
downloadopentracing-c-wrapper-upstream.tar.xz
opentracing-c-wrapper-upstream.zip
Adding upstream version 1.1.3.upstream/1.1.3upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
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+service_name:
+ opentracing-c-wrapper-test
+
+###
+# When using configuration object to instantiate the tracer, the type of
+# sampling can be selected via sampler.type and sampler.param properties.
+# Jaeger libraries support the following samplers:
+#
+# - Constant (sampler.type=const) sampler always makes the same decision for
+# all traces. It either samples all traces (sampler.param=1) or none of
+# them (sampler.param=0).
+#
+# - Probabilistic (sampler.type=probabilistic) sampler makes a random sampling
+# decision with the probability of sampling equal to the value of
+# sampler.param property. For example, with sampler.param=0.1 approximately
+# 1 in 10 traces will be sampled.
+#
+# - Rate Limiting (sampler.type=ratelimiting) sampler uses a leaky bucket rate
+# limiter to ensure that traces are sampled with a certain constant rate.
+# For example, when sampler.param=2.0 it will sample requests with the rate
+# of 2 traces per second.
+#
+# - Remote (sampler.type=remote, which is also the default) sampler consults
+# Jaeger agent for the appropriate sampling strategy to use in the current
+# service. This allows controlling the sampling strategies in the services
+# from a central configuration in Jaeger backend, or even dynamically.
+#
+sampler:
+ type: ratelimiting
+ param: 10.0
+
+reporter:
+ logSpans: true
+ localAgentHostPort: localhost:6831