$ git clone -n https://gitee.com/lxpzero/librdkafka.git /var/lib/mock/dist-an8.8-build-292852-65154/root/chroot_tmpdir/scmroot/librdkafka Cloning into '/var/lib/mock/dist-an8.8-build-292852-65154/root/chroot_tmpdir/scmroot/librdkafka'... $ git fetch origin fd535f45d433c1f493f070be101b03e0e1adb362:KOJI_FETCH_HEAD From https://gitee.com/lxpzero/librdkafka * [new ref] fd535f45d433c1f493f070be101b03e0e1adb362 -> KOJI_FETCH_HEAD $ git reset --hard KOJI_FETCH_HEAD HEAD is now at fd535f4 Add doc sub package $ wget -O librdkafka-1.6.1.tar.gz http://build.openanolis.cn/kojifiles/upstream-source/librdkafka-1.6.1.tar.gz.74de1ec47094ced9921ce31d7f74c8c5 --2023-08-04 13:46:31-- http://build.openanolis.cn/kojifiles/upstream-source/librdkafka-1.6.1.tar.gz.74de1ec47094ced9921ce31d7f74c8c5 Resolving build.openanolis.cn (build.openanolis.cn)... 8.131.87.1 Connecting to build.openanolis.cn (build.openanolis.cn)|8.131.87.1|:80... connected. HTTP request sent, awaiting response... 200 OK Length: 2920909 (2.8M) [application/x-gzip] Saving to: ‘librdkafka-1.6.1.tar.gz’ 0K .......... .......... .......... .......... .......... 1% 3.27M 1s 50K .......... .......... .......... .......... .......... 3% 6.88M 1s 100K .......... .......... .......... .......... .......... 5% 56.0M 0s 150K .......... .......... .......... .......... .......... 7% 65.1M 0s 200K .......... .......... .......... .......... .......... 8% 6.58M 0s 250K .......... .......... .......... .......... .......... 10% 141M 0s 300K .......... .......... .......... .......... .......... 12% 231M 0s 350K .......... .......... .......... .......... .......... 14% 111M 0s 400K .......... .......... .......... .......... .......... 15% 5.42M 0s 450K .......... .......... .......... .......... .......... 17% 148M 0s 500K .......... .......... .......... .......... .......... 19% 178M 0s 550K .......... .......... .......... .......... .......... 21% 192M 0s 600K .......... .......... .......... .......... .......... 22% 176M 0s 650K .......... .......... .......... .......... .......... 24% 106M 0s 700K .......... .......... .......... .......... .......... 26% 256M 0s 750K .......... .......... .......... .......... .......... 28% 151M 0s 800K .......... .......... .......... .......... .......... 29% 5.65M 0s 850K .......... .......... .......... .......... .......... 31% 188M 0s 900K .......... .......... .......... .......... .......... 33% 158M 0s 950K .......... .......... .......... .......... .......... 35% 181M 0s 1000K .......... .......... .......... .......... .......... 36% 195M 0s 1050K .......... .......... .......... .......... .......... 38% 175M 0s 1100K .......... .......... .......... .......... .......... 40% 122M 0s 1150K .......... .......... .......... .......... .......... 42% 6.65M 0s 1200K .......... .......... .......... .......... .......... 43% 29.7M 0s 1250K .......... .......... .......... .......... .......... 45% 179M 0s 1300K .......... .......... .......... .......... .......... 47% 176M 0s 1350K .......... .......... .......... .......... .......... 49% 200M 0s 1400K .......... .......... .......... .......... .......... 50% 109M 0s 1450K .......... .......... .......... .......... .......... 52% 158M 0s 1500K .......... .......... .......... .......... .......... 54% 509M 0s 1550K .......... .......... .......... .......... .......... 56% 164M 0s 1600K .......... .......... .......... .......... .......... 57% 5.37M 0s 1650K .......... .......... .......... .......... .......... 59% 173M 0s 1700K .......... .......... .......... .......... .......... 61% 196M 0s 1750K .......... .......... .......... .......... .......... 63% 193M 0s 1800K .......... .......... .......... .......... .......... 64% 166M 0s 1850K .......... .......... .......... .......... .......... 66% 120M 0s 1900K .......... .......... .......... .......... .......... 68% 167M 0s 1950K .......... .......... .......... .......... .......... 70% 195M 0s 2000K .......... .......... .......... .......... .......... 71% 5.34M 0s 2050K .......... .......... .......... .......... .......... 73% 151M 0s 2100K .......... .......... .......... .......... .......... 75% 102M 0s 2150K .......... .......... .......... .......... .......... 77% 190M 0s 2200K .......... .......... .......... .......... .......... 78% 111M 0s 2250K .......... .......... .......... .......... .......... 80% 158M 0s 2300K .......... .......... .......... .......... .......... 82% 194M 0s 2350K .......... .......... .......... .......... .......... 84% 183M 0s 2400K .......... .......... .......... .......... .......... 85% 184M 0s 2450K .......... .......... .......... .......... .......... 87% 5.85M 0s 2500K .......... .......... .......... .......... .......... 89% 158M 0s 2550K .......... .......... .......... .......... .......... 91% 110M 0s 2600K .......... .......... .......... .......... .......... 92% 169M 0s 2650K .......... .......... .......... .......... .......... 94% 164M 0s 2700K .......... .......... .......... .......... .......... 96% 213M 0s 2750K .......... .......... .......... .......... .......... 98% 154M 0s 2800K .......... .......... .......... .......... .......... 99% 507M 0s 2850K .. 100% 184M=0.1s 2023-08-04 13:46:31 (28.5 MB/s) - ‘librdkafka-1.6.1.tar.gz’ saved [2920909/2920909]