令我惊讶的是，containerd用于存储Docker镜像的磁盘空间（由du报告）显然是附加的，因此可能会保留同一个容器镜像的多个副本，每个命名空间一个副本。
我怀疑这只是个测量过程。我怎么能保证这不是一个浪费的重复？

• 插图 *

在下面这个取自我们的一个DEV服务器的真示例子中，microk8s使用的containerd保留了10个相同的容器映像（通过校验和验证）（相当重的dev容器，大小为8.2 GiB）的副本，占用了10倍的存储空间（即，90+千兆字节在这个单一容器的情况下）比它可以说应该的（它会在Docker和“好老”k8s下[例如。OCP/OKD 3.11中使用的1.11]）。现在想象一下，如果用户有10个这样的容器可供选择，并且有100多个这样的用户，会发生什么。

# calculate total disk space occupied by all Docker images stored by `containerd`
101G    k8s.io/

# calculate disk space occupied by each copy of the container 
# (kept in 10 separate subfolders of k8s.io - one per each namespace)
8.2G    d8a5f98e90a4240465bce9011ee9855f38a1355d98001651692ac32b60de692a/
8.2G    c7be1e30a7c59c77d6c2b9e645af6fc231ee0e3626b76792d2c5fa76df501dc8/
8.2G    bf2a683ee785018d90f68ed474f757b11b70b173547a767f4d38e1bec6cb20f8/
8.2G    ab99b16fb660adf4e50abb28ac060db70cc7298624edc6a27431232f1faae6f2/
8.2G    93af9650770c16d30cd8d5053c2df3bf42dcd11507b385b99222f29eacd58a08/
8.2G    75813eff8ad2f13cc2e0ae5dcde21cf107dd0b5f8837e750d7af9b2cf9b37f91/
8.2G    51b566aaf4cd4e8015f5f1c11f6b1f365d7137ecca0359300c3fd57c6b268502/
8.2G    42940c4bca12ee98b5ef0ac82bb3406568cc1b0ada2c36b04b3c9805db947d24/
8.2G    402a3615985b1ebb8f0336da22ef61a3de1899839948504a1c57a23ee7f23ef9/
8.2G    03543e31148721edbcccbee33fba7ec03225aad8f5514508c1e65b80072128ab/
1020M   f1c59b268079406b551ab9c47af8f89a36e94fb9c783541ee9e1665b67118fb1/
1020M   da34eb37a3dc01b2192820232288d5cd088bac93283e2b9d7a235eb7fb38d06e/
1020M   c272009b8d419a427354baee14cb243bc1d49a26f908b7cd30661d8a66a3f587/
1020M   98adad916cf5b3eaa62fe631f97dace945bcfecbb799ba1c2b7ce6901040a780/
1020M   968a7897f10699e96df62a9bc3b8d742a1a048cf7481990531800760e1dcf58c/
1020M   940acce942de009b74073efde5f86c8c019933a3b48e0c3b69c94b559aa644d7/
1020M   874b981524dfd4a4bb96dc6a4abc80a9dd157e0ca0607f9c65328a94056c64f8/
1020M   3e0199e23bd4670acae87c2851e2e2963678c2654fdabb96af79194484770524/
1020M   32a7f6ab5729d4b6464189fc807ef560f2ca0caebcaaf33619f7bf311a129d44/
1020M   2c3a95b1a9531d3ff68984da01460dee050268e28c50cb92894ab8aea49b0183/
[..]

# modifying `du` settings does not affect measurements much
# du -sh c7be1e30a7c59c77d6c2b9e645af6fc231ee0e3626b76792d2c5fa76df501dc8
8.2G    c7be1e30a7c59c77d6c2b9e645af6fc231ee0e3626b76792d2c5fa76df501dc8
# du -sh --apparent-size c7be1e30a7c59c77d6c2b9e645af6fc231ee0e3626b76792d2c5fa76df501dc8
7.7G    c7be1e30a7c59c77d6c2b9e645af6fc231ee0e3626b76792d2c5fa76df501dc8
# du -sh --count-links c7be1e30a7c59c77d6c2b9e645af6fc231ee0e3626b76792d2c5fa76df501dc8
8.7G    c7be1e30a7c59c77d6c2b9e645af6fc231ee0e3626b76792d2c5fa76df501dc8


# let's also verify that images checksums are indeed the same
Now using project "ak-tst" on server "https://localhost:8080".
    Image ID:       docker.io/mirekphd/ml-scraper-py39-jup@sha256:6ab4c3bd81d9125eecef0906ce79440068690cb4a53ec123c50febbe5f2fe17b
Now using project "ks-tst" on server "https://localhost:8080".
    Image ID:       docker.io/mirekphd/ml-scraper-py39-jup@sha256:6ab4c3bd81d9125eecef0906ce79440068690cb4a53ec123c50febbe5f2fe17b
Now using project "tz-tst" on server "https://localhost:8080".
    Image ID:       docker.io/mirekphd/ml-scraper-py39-jup@sha256:6ab4c3bd81d9125eecef0906ce79440068690cb4a53ec123c50febbe5f2fe17b
Now using project "user1-tst" on server "https://localhost:8080".
    Image ID:       docker.io/mirekphd/ml-scraper-py39-jup@sha256:6ab4c3bd81d9125eecef0906ce79440068690cb4a53ec123c50febbe5f2fe17b
Now using project "user2-tst" on server "https://localhost:8080".
    Image ID:       docker.io/mirekphd/ml-scraper-py39-jup@sha256:6ab4c3bd81d9125eecef0906ce79440068690cb4a53ec123c50febbe5f2fe17b
Now using project "ak" on server "https://localhost:8080".
    Image ID:       docker.io/mirekphd/ml-scraper-py39-jup@sha256:6ab4c3bd81d9125eecef0906ce79440068690cb4a53ec123c50febbe5f2fe17b
Now using project "ks" on server "https://localhost:8080".
    Image ID:       docker.io/mirekphd/ml-scraper-py39-jup@sha256:6ab4c3bd81d9125eecef0906ce79440068690cb4a53ec123c50febbe5f2fe17b
Now using project "ml" on server "https://localhost:8080".
    Image ID:       docker.io/mirekphd/ml-scraper-py39-jup@sha256:6ab4c3bd81d9125eecef0906ce79440068690cb4a53ec123c50febbe5f2fe17b
Now using project "tz" on server "https://localhost:8080".
    Image ID:       docker.io/mirekphd/ml-scraper-py39-jup@sha256:6ab4c3bd81d9125eecef0906ce79440068690cb4a53ec123c50febbe5f2fe17b
Now using project "user1" on server "https://localhost:8080".
    Image ID:       docker.io/mirekphd/ml-scraper-py39-jup@sha256:6ab4c3bd81d9125eecef0906ce79440068690cb4a53ec123c50febbe5f2fe17b
Now using project "user2" on server "https://localhost:8080".

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