Todd Lipcon

@tlipcon

Engineer at Cloudera, Founder of the project. Hadoop/HBase committer, former Erlanger. Brown CS alumnus, wannabe pianist and cellist

San Francisco
Vrijeme pridruživanja: listopad 2008.

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  1. 24. sij

    (this is on a single r5.2xlarge VM, no big expensive cluster)

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  2. 24. sij

    Teaser for an upcoming blog: running TSBS benchmark on InfluxDB vs Kudu (exactly same queries -- I wrote a partial implementation of InfluxQL in a separate daemon)

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  3. 23. sij

    Does anyone have experience LTO-optimizing tcmalloc/jemalloc into a binary? Did you get noticeable hot path (threadcache-hit) improvements from inlining?

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  4. 15. sij

    I should add: I do think that a timeseries-specific language (not _only_ standard SQL) is nice, I just think "looks just like SQL but has different results" is not it.

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  5. 15. sij

    My take-away from InfluxQL: if you are going to make a SQL-like language but with different semantics, change the keywords too. Using the same syntax with different semantics confuses things. (eg GROUP BY <tag> should be "FOR EACH VALUE OF <tag>" or something)

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  6. 15. sij

    The more I look at InfluxQL, the more I understand why it's being canned in favor of Flux. The more I look at Flux, the less I understand why there's a new language being invented... interesting product strategy choices at .

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  7. proslijedio/la je Tweet
    24. pro 2019.

    If medicine were like computer security, researchers would be celebrated for creating superbugs that defeat existing antibiotics.

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  8. 20. pro 2019.

    Considering going on Shark Tank with this idea: sour cream and onion envelopes.

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  9. proslijedio/la je Tweet
    19. pro 2019.

    This is such a great tip. Also echoed by Jeff Dean at Google when a group of black and brown software engineers asked him how he seems to keep up with the torrent of ML research: You can't read 50 papers a day. But you can read 50 abstracts, and then read a few deeply.

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  10. proslijedio/la je Tweet
    18. pro 2019.

    Ho, Ho, Ho! Now, Kuduer! Now, Nifier and Sparken! On, Hiver! On, Docker and Flinken!! Ho, Ho, Ho!!! Merry, Christmas!

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  11. 18. pro 2019.

    Also curious if you have done any versions for 8x16 bit input

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  12. 16. pro 2019.

    Should note that something like half the cpu is going to string splitting. Think I could double this performance with a little microoptimizing work.

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  13. 16. pro 2019.

    Easily ingesting 3.5M metrics per second from 4 threads into my personal workstation. Simple range queries with avg less than 1ms. Details to follow in a blog, I hope.

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  14. 16. pro 2019.

    Been playing a bit with for time series using the benchmarks from and . Despite being a general purpose store, Kudu turns out very competitive so far!

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  15. proslijedio/la je Tweet
    10. pro 2019.

    Modern B-tree🎄 Techniques: I thought it was impossible to have 200 pages about a single data-structure. I was wrong.

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  16. 6. pro 2019.

    Sad discovery about my new AMD processor: significantly less complete PMU features vs Intel (no LBR or 'perf mem' I guess)

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  17. 5. pro 2019.

    building new computer. convince me in 180 characters or less: latest fedora vs latest ubuntu vs ubuntu LTS? I've run Ubuntu LTS for years, Debian testing before that. Will "bleeding edge" distro make me waste lots of time screwing with things?

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  18. 5. pro 2019.

    (the expectation is true 99% of the time and the function is small, and likely has strong knock-on optimization potential, so really want to inline it). Seems like dynamic_cast<> is full of overhead

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  19. 5. pro 2019.

    Anyone have a C++ trick to explicitly code speculative devirtualization, preferably that works in Clang and GCC without LTO? eg I want the following to exist: builtin_expect_type(base_ptr, SomeImplClass)->VirtualFunc()

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