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oacgnol's profile
toon long
toon long
toon long
@oacgnol

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toon long

@oacgnol

scala gardener @stripe, sweat(shirt/pants) connoisseur. he/him

austin, formerly brooklyn
Joined September 2010

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    1. schrepfler‏ @schrepfler Feb 19
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      Replying to @drbridgewater @posco

      I hear this phrase often about SQL not being composable, but is this really true? What do you mean by that exactly? It feels composable as long as you’re within the scope of SQL.

      2 replies 0 retweets 0 likes
    2. P. Oscar Boykin‏ @posco Feb 19
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      Replying to @schrepfler @drbridgewater

      you can't really share subqueries in SQL. Like, you want to be able to import with/as from a library. But also, you need a way to bind some local table to a name, then call the library function on the tables... (functions on tables).

      2 replies 0 retweets 1 like
    3. Dmitriy Ryaboy‏ @squarecog Feb 19
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      Replying to @posco @schrepfler @drbridgewater

      That's something dbt tries to do. Mostly through adding some configs and jinja templates. I suspect it's not exactly as clean as composing scala types and functions.

      2 replies 0 retweets 3 likes
    4. Vincent Marquez‏ @runT1ME Feb 19
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      Replying to @squarecog @posco and

      What is the advantage of SQL over say, Spark's API?

      1 reply 0 retweets 0 likes
    5. Dmitriy Ryaboy‏ @squarecog Feb 19
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      Replying to @runT1ME @posco and

      Orders of magnitude more people already familiar with it. Trivial onramp for basic functionality. Loads of tools that use sql to get their data out. And sufficiently high abstraction to enable many optimizations.

      2 replies 0 retweets 5 likes
    6. Dmitriy Ryaboy‏ @squarecog Feb 19
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      Replying to @squarecog @runT1ME and

      (I don't know about the spark api but Oscar can confirm that when we moved from pig to scalding, being code-first made some optimizations, like predicate and projection pushdown, much harder to implement).

      1 reply 0 retweets 1 like
    7. P. Oscar Boykin‏ @posco Feb 19
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      Replying to @squarecog @runT1ME and

      Yeah the spark RDD api isn’t terrible (I stand by scalding being better) but you really want an optimizing compiler for your data jobs and a library has a hard time doing that. Spark sql can do this with stringly typed code.

      1 reply 0 retweets 3 likes
    8. P. Oscar Boykin‏ @posco Feb 19
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      Replying to @posco @squarecog and

      I’m pretty baffled that databricks hasn’t made a spark compiler plugin that could solve the issue. It could be really great to have great types and an optimizer that runs on your entire flow. I guess they are focused on their python users though and that wouldn’t help them.

      3 replies 0 retweets 2 likes
    9. jeremyrsmith‏ @jeremyrsmith Feb 19
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      Replying to @posco @squarecog and

      Spark suffers in a lot of ways from supporting a Java API (which nobody uses) and a python API (which everybody uses). Any Scala-only solution is a non-starter for them, which is a shame because it could be so much better.

      1 reply 1 retweet 4 likes
    10. P. Oscar Boykin‏ @posco Feb 20
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      Replying to @jeremyrsmith @squarecog and

      I don’t know why a scala only API is a non-starter? Why not have a common DAG computation engine and then particularize to python and scala as beat you can? Also, the scala APIs already use implicits which are painful to use from java.

      2 replies 0 retweets 3 likes
      toon long‏ @oacgnol Feb 20
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      Replying to @posco @jeremyrsmith and

      i suspect trying to make the APIs consistent-ish between languages was a goal, and thus why a lot of scala programmers aren't super happy with it. a new set of APIs targeting Spark SQL/Catalyst could be viable, i think? frameless does this but i'd want to cut out shapeless

      8:42 AM - 20 Feb 2020
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      • Jesse #blacklivesmatter
      0 replies 0 retweets 1 like

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