P.Linux Laboratory

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网址: http://www.penglixun.com/database/static_compile_mysql_with_tcmalloc.html

Linux下的malloc函数性能问题，想必大部分在Linux下写C的人都深有感受，纷纷利用内存池来改进内存分配效率。
Google开源的tcmalloc则改进了malloc的一些效率问题，在大量malloc和free时，操作系统的内存曲线明显比Linux下malloc函数要平稳，在大并发情况下，提升程序稳定性和性能。
一般网上都是把tcmalloc动态库加到mysqld_safe中启动，但是我们的MySQL都是静态编译的，这时候动态加载是否生效呢？所以还是静态编译入MySQL好。

编译tcmalloc先要编译libunwind：

wget http://download.savannah.gnu.org/releases/libunwind/libunwind-0.99.tar.gz
tar zxvf libunwind-0.99.tar.gz

CHOST=”x86_64-pc-linux-gnu” \
CFLAGS=” -O3 -fPIC \
-fomit-frame-pointer \
-pipe \
-march=nocona \
-mfpmath=sse \
-m128bit-long-double \
-mmmx \
-msse \
-msse2 \
-maccumulate-outgoing-args \
-m64 \
-ftree-loop-linear \
-fprefetch-loop-arrays \
-freg-struct-return \
-fgcse-sm \
-fgcse-las \
-frename-registers \
-fforce-addr \
-fivopts \
-ftree-vectorize \
-ftracer \
-frename-registers \
-minline-all-stringops \
-fbranch-target-load-optimize2″ \
CXXFLAGS=”${CFLAGS}” \
./configure && make && make install

然后编译tcmalloc：

tar zxvf google-perftools-1.6.tar.gz

CHOST=”x86_64-pc-linux-gnu” \
CFLAGS=” -O3 \
-fomit-frame-pointer \
-pipe \
-march=nocona \
-mfpmath=sse \
-m128bit-long-double \
-mmmx \
-msse \
-msse2 \
-maccumulate-outgoing-args \
-m64 \
-ftree-loop-linear \
-fprefetch-loop-arrays \
-freg-struct-return \
-fgcse-sm \
-fgcse-las \
-frename-registers \
-fforce-addr \
-fivopts \
-ftree-vectorize \
-ftracer \
-frename-registers \
-minline-all-stringops \
-fbranch-target-load-optimize2″ \
CXXFLAGS=”${CFLAGS}” \
./configure && make && make install

记得要把libtammloc加入系统路径，否则编译MySQL时找不到：

echo “/usr/local/lib” > /etc/ld.so.conf.d/usr_local_lib.conf
/sbin/ldconfig

最后就是编译MySQL了：

CXX=gcc \
CHOST=”x86_64-pc-linux-gnu” \
CFLAGS=” -O3 \
-fomit-frame-pointer \
-pipe \
-march=nocona \
-mfpmath=sse \
-m128bit-long-double \
-mmmx \
-msse \
-msse2 \
-maccumulate-outgoing-args \
-m64 \
-ftree-loop-linear \
-fprefetch-loop-arrays \
-freg-struct-return \
-fgcse-sm \
-fgcse-las \
-frename-registers \
-fforce-addr \
-fivopts \
-ftree-vectorize \
-ftracer \
-frename-registers \
-minline-all-stringops \
-felide-constructors \
-fno-exceptions \
-fno-rtti \
-fbranch-target-load-optimize2″ \
CXXFLAGS=”${CFLAGS}” \
./configure –prefix=/usr/alibaba/install/mysql-ent-custom-5.1.49sp1 \
–with-server-suffix=-alibaba-edition \
–with-mysqld-user=mysql \
–with-plugins=partition,blackhole,csv,heap,innobase,myisam,myisammrg \
–with-charset=utf8 \
–with-collation=utf8_general_ci \
–with-extra-charsets=gbk,gb2312,utf8,ascii \
–with-big-tables \
–with-fast-mutexes \
–with-zlib-dir=bundled \
–enable-assembler \
–enable-profiling \
–enable-local-infile \
–enable-thread-safe-client \
–with-readline \
–with-pthread \
–with-embedded-server \
–with-client-ldflags=-all-static \
–with-mysqld-ldflags=-all-static \
–with-mysqld-ldflags=-ltcmalloc \
–without-query-cache \
–without-geometry \
–without-debug \
–without-ndb-debug
make && make install

经过试用，大并发下内存分配和释放曲线都比Linux原生的平稳。