Live data from Hacker News

Viewing profile — ruw1090

ruw1090

HN member
Joined
Wed, Mar 19, 2014, 7:22 PM UTC
HN karma
75
Public activity
27 items

About ruw1090

No profile information was provided.

Recent public activity

  1. comment
    Comment #44758461

    No tax on tips does not apply to payroll taxes (FICA).

  2. comment
    Comment #42297403

    The Xenomorph term wasn't created by the fandom. It was first used in-universe in "Aliens".

  3. comment
    Comment #42070428

    Citation?

  4. comment
    Comment #32656169

    Sure, but given multiple opportunities (every time the clip gets brought up) to condemn it, he hasn’t. This should tell you enough.

  5. comment
    Comment #32570373

    Close, but in database years it was actually already in its mid life crisis.

  6. comment
    Comment #32089177

    The snowflake clusters are several factors bigger (and more expensive) than almost all of the comparison points.

  7. comment
    Comment #32088605

    That makes sense, thanks for clarifying. I got confused by the UI.

  8. comment
    Comment #32088594

    Do you have any benchmark results with Clickhouse in a clustered configuration (and other db's)? Is Clickhouse expected to be run in only single node deployments?

  9. comment
    Comment #32088361

    Yea, Redshift looks like it was run on an ra3.xl (4 cores) and is comparing against clickhouse on a c6a.4xl (16 cores). I suspect if this were normalized Redshift would have an edg…

  10. comment
    Comment #32088117

    There's a lot more involved in an execution engine running complex queries that are not single table group by than just QO (though this is important). It includes things like join …

  11. comment
    Comment #31898983

    The total estimated cost has increased by 44 Billion. Only ~10 billion has been spent on the project so far.

  12. comment
    Comment #31898959

    I stopped reading at "Incredibly, the state has not laid a single mile of track" for California High Speed rail, which is completely false. There are 119 miles under active constru…

  13. comment
    Comment #19852946

    > You are correct however that TimescaleDB requires more storage than some of these other options. If storage is the most important criteria for you (ie more important than usabili…

  14. comment
    Comment #18394560

    To build on the list of features above, here's a blog post from Pandora where they go into the details of what they use MemSQL for and some of the alternatives they looked into for…

  15. comment
    Comment #18393868

    I mean that an operation that needs more memory than is available will fail, but the server itself will remain operational. An simple example would be loading more data into an in-…

  16. comment
    Comment #18393683

    If you have an example of the query you thought was returning inconsistent results, feel free to make a post over at https://www.memsql.com/forum/ with a repro.

  17. comment
    Comment #18392898

    The best thing to do in this situation would be to set the maximum memory on the MemSQL server via the `maximum_memory` system variable. The server will then internally manage it's…

  18. comment
    Comment #16747713

    > data allowance of 10 million rows, and range up to a 100 million row allowance. Only supporting up to 100 million rows seems extremely limiting for a lot of analytics use cases. …

  19. comment
    Comment #15914950

    The other thing that is misleading about this benchmark is that the comparison page shows results for many different DBs on vastly different hardware without any mention of price. …

  20. comment
    Comment #15822187

    What is the benefit of shipping data to the GPU for execution if the data is on S3 or HDFS? Won't most of the cost of the query be I/O?

  21. comment
    Comment #15435717

    It looks like you had to rewrite the queries pretty significantly to get them to run on all three. Redshit/Bigquery don't support rollup/grouping sets/intersect/except etc. which t…

  22. comment
    Comment #13992244

    So blazing db mainly uses gpus to speed up compression/decompression? How do gpus help with partitioning and data skipping?

  23. comment
    Comment #13864084

    citation?

  24. comment
    Comment #12716362

    very interesting. Do you have a link to documentation? I'd like to take a look before I try it out.

  25. comment
    Comment #11910011

    It looks like they benchmarked against MemSQL 3.2, which is nearly 2 years old and Hive .11, which is close to 3 years. Not sure how out of date the other comparisons are.