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My question is whether the added durability and availability from 6 copies is worth the cost. Where that cost is measured in power, space, dollars. But it is hard to estimate the benefit from the outside. Fewer copies is good for the environment.
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The Aurora paper made a great argument on why 6 copies are used. But I am curious whether this was quantified and whether some customers would prefer fewer copies if that reduced their bill.
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For #2 what is the return in terms of durability and availability when going from 1 to 6 copies? I have no doubt that 6 is better. My question is about the return on investment. This isn’t a good advertisement for the cloud if 6 copies are required to make things work.
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For #1 it is obvious that Aurora is ahead, but is the revenue difference closer to 10X or 2X? AWS uses a pragmatic approach — build on MySQL — while Google uses a Google approach. There is a huge difference perhttps://db-engines.com/en/ranking
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Cloud database questions: 1) How is Cloud Spanner doing versus AWS Aurora? 2) Does AWS Aurora need 6 copies of the database?
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Hope I didn't make too many mistakes. I am not a distributed systems guru. http://smalldatum.blogspot.com/2020/01/durability-vs-availability.html …
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New benchmarketing drama http://smalldatum.blogspot.com/2020/01/copyleft-vs-dewitt-clause.html …
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subscribed so that I don't miss these again. Content is excellent. XKCD references are a bonus.
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I missed this when it first came out.https://twitter.com/MarkusWinand/status/1207941813379702784 …
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Is there an easier way to list files installed for an apt package? sudo apt install apt-file sudo apt-file update apt-file list $package
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To see tcmalloc size classes in serverStatus output with MongoDB use tcmalloc:2 db.serverStatus({tcmalloc:2}).tcmalloc For basic tcmalloc stats use nothing or tcmalloc:1 db.serverStatus().tcmalloc db.serverStatus({tcmalloc:1}).tcmalloc
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Put it in a blog post so I can find it again - http://smalldatum.blogspot.com/2020/01/aggregate-pmp-call-stacks-for-one-thread.html …
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Then aggregate it for one thread: cat all.f | awk 'BEGIN { s = ""; } /^Thread/ { print s; s = ""; } /^\#/ { x=index($2, "0x"); if (x == 1) { n=$4 } else { n=$2 }; if (s != "" ) { s = s "," n} else { s = n } } END { print s }' - | sort | uniq -c | sort -r -n -k 1,1
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Wonderful. Now I am ready for part 2https://twitter.com/matkeep/status/1222267992261697537 …
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I was reminded of XFS speculative allocation thanks to buffered IO. https://xfs.org/index.php/XFS_FAQ#Q:_What_is_speculative_preallocation.3F …
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So I am thrilled to learn that Manos Athanassoulis and team are working on this -- https://mitdbg.github.io/nedbday/2020/#programfolback … They also have work on bloom filters - https://mitdbg.github.io/nedbday/2020/#posters … Too bad I can't be at NEDB this year.
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Optimizing for tombstone removal in an LSM is a hard problem http://smalldatum.blogspot.com/2020/01/deletes-are-fast-and-slow-in-lsm.html …
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I am happy to see companies like
@RocksetCloud leverage@RocksDB so they can focus on adding value higher in the stack. Just like FB was able to leverage LevelDB to start the RocksDB project -https://rockset.com/blog/rocksdb-is-eating-the-database-world …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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