SQL in addition to simplicity also provides standard way of analysis across
multiple databases. That aspect is something that users would like with
machine learning as well.
Flexibility of Spark's API is definitely helpful but a simple and standard
way for new users is desired when it comes to mac
https://github.com/apache/spark/pull/22308
https://github.com/apache/spark/pull/22310
These two might be the last fixes for Scala 2.12 :)
Please review.
原始邮件
发件人:Sean owensro...@apache.org
收件人:antonkulagaantonkul...@gmail.com
抄送:dev...@spark.apache.org
发送时间:2018年8月31日(周五) 05:00
主题:Re: code fr
Thanks for clarifying, Wenchen. I think that's what I expected.
As for the abstraction, here's the way that I think about it: there are two
important parts of a scan: the definition of what will be read, and task
sets that actually perform the read. In batch, there's one definition of
the scan and
Is it only me or are all others getting Wenchen’s mails ? (Obviously Ryan
did :-) )
I did not see it in the mail thread I received or in archives ... [1]
Wondering which othersenderswere getting dropped (if yes).
Regards
Mridul
[1]
http://apache-spark-developers-list.1001551.n3.nabble.com/data-so
