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cluser/addons: fluentd-elasticsearch: preload Jemalloc for td-agent
The current DockerFile build an image using td-agent package but it let the service run with the default memory allocator provided by glibc. In high load environments, is highly required to use a customized memory allocator such as Jemalloc. Otherwise the service will face a high memory fragmentation ending up in 'high memory' usage from a monitoring perspective. td-agent package by default install Jemalloc and set the LD_PRELOAD environment variable through it init script, but since the service is launched through Docker the env variable needs to be set manually. After this patch, when running td-agent container image now is possible to see that Jemalloc is used: root@monotop:/proc/18810# cat maps |grep jemall 7f251eddd000-7f251ee1b000 ... /opt/td-agent/embedded/lib/libjemalloc.so.2 7f251ee1b000-7f251f01b000 ... /opt/td-agent/embedded/lib/libjemalloc.so.2 7f251f01b000-7f251f01d000 ... /opt/td-agent/embedded/lib/libjemalloc.so.2 7f251f01d000-7f251f01e000 ... /opt/td-agent/embedded/lib/libjemalloc.so.2 For a reference about the memory usage difference between malloc v/s jemalloc please refer to the following chart: https://goo.gl/dVYTmw Signed-off-by: Eduardo Silva <eduardo@treasure-data.com>
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@ -38,5 +38,7 @@ COPY td-agent.conf /etc/td-agent/td-agent.conf
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COPY build.sh /tmp/build.sh
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COPY build.sh /tmp/build.sh
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RUN /tmp/build.sh
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RUN /tmp/build.sh
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ENV LD_PRELOAD /opt/td-agent/embedded/lib/libjemalloc.so
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# Run the Fluentd service.
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# Run the Fluentd service.
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ENTRYPOINT ["td-agent"]
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ENTRYPOINT ["td-agent"]
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