Is cascalog dead?

[David Nies]

I just wanted to read some documentation on cascalog.org and the page seems dead. Also, the pull request page on github looks kinda dusty.

Is cascalog dead?

[Sam Ritchie]

Hey David,

I don't believe there are any active maintainers adding features if that's what you mean. Cascalog rides on Cascading and can use its taps and other operations directly, so until Cascading dies I wouldn't issue cascalog's death certificate.

Many folks are using Cascalog in production, but sadly many of those folks have also not put in the investment to become committers. The bus factor was never terribly high for this one.

If I were starting out with Hadoop I'd still consider Cascalog, as I really enjoy the abstraction it provides. I'm happy to help on this list - the learning curve is not shallow. You should also check out the other excellent clojure/Hadoop work in the community, I'm just not familiar enough to give specific recs.

Best of luck!

On Friday, January 27, 2017, 'David Nies' via cascalog-user <cascal...@googlegroups.com> wrote:

I just wanted to read some documentation on cascalog.org and the page seems dead. Also, the pull request page on github looks kinda dusty.

Is cascalog dead?

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[David Nies]

Hi Sam,

thanks for the quick reply. Do you know if cascalog.org is coming back any time soon? I'd really like to read the documentation I've once read there.

[Sam Ritchie]

Ah! That is a great question. I'm not sure who had control of that, or where the source is, but I'm not sure that it diverged that far in content from the wiki: https://github.com/nathanmarz/cascalog/wiki

On Fri, Jan 27, 2017 at 4:59 PM 'David Nies' via cascalog-user <cascal...@googlegroups.com> wrote:

Hi Sam,

thanks for the quick reply. Do you know if cascalog.org is coming back any time soon? I'd really like to read the documentation I've once read there.

Am Freitag, 27. Januar 2017 18:57:19 UTC+1 schrieb Sam Ritchie:

Hey David,

I don't believe there are any active maintainers adding features if that's what you mean. Cascalog rides on Cascading and can use its taps and other operations directly, so until Cascading dies I wouldn't issue cascalog's death certificate.

Many folks are using Cascalog in production, but sadly many of those folks have also not put in the investment to become committers. The bus factor was never terribly high for this one.

If I were starting out with Hadoop I'd still consider Cascalog, as I really enjoy the abstraction it provides. I'm happy to help on this list - the learning curve is not shallow. You should also check out the other excellent clojure/Hadoop work in the community, I'm just not familiar enough to give specific recs.

Best of luck!

On Friday, January 27, 2017, 'David Nies' via cascalog-user <cascal...@googlegroups.com> wrote:

I just wanted to read some documentation on cascalog.org and the page seems dead. Also, the pull request page on github looks kinda dusty.

Is cascalog dead?

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[Soren Macbeth]

the source for cascalog.org is here:

https://github.com/Quantisan/cascalog-doc

[David Kincaid]

We are using Cascalog and JCascalog extensively. I love it and wish it had more life, but it's been dead for a couple years now (from an active development perspective). I've tried to understand the code so that I could at least support it for our use, but it's way over my head. So we'll probably start moving off of it since sooner or later it will stop working with a Hadoop or Cascading upgrade.

I really appreciate the time that Sam put into it as well as Soren Macbeth and Paul Lam (there are probably others that I'm missing too). The fact that it's still going with essentially no development for 2 years is a testament to the robustness of what they built. Sometimes the best technologies just don't survive.

- Dave

[David Kincaid]

I can't tell if the domain name registration has lapsed or just the web site hosting. I'd be interested in taking over both if it would be valuable.

- Dave

On Friday, January 27, 2017 at 8:02:10 PM UTC-6, Soren Macbeth wrote:

the source for cascalog.org is here:

https://github.com/Quantisan/cascalog-doc

On Fri, 27 Jan 2017 at 17:48 Sam Ritchie <sritc...@gmail.com> wrote:

Ah! That is a great question. I'm not sure who had control of that, or where the source is, but I'm not sure that it diverged that far in content from the wiki: https://github.com/nathanmarz/cascalog/wiki

On Fri, Jan 27, 2017 at 4:59 PM 'David Nies' via cascalog-user <cascal...@googlegroups.com> wrote:

Hi Sam,

thanks for the quick reply. Do you know if cascalog.org is coming back any time soon? I'd really like to read the documentation I've once read there.

Am Freitag, 27. Januar 2017 18:57:19 UTC+1 schrieb Sam Ritchie:

Hey David,

I don't believe there are any active maintainers adding features if that's what you mean. Cascalog rides on Cascading and can use its taps and other operations directly, so until Cascading dies I wouldn't issue cascalog's death certificate.

Many folks are using Cascalog in production, but sadly many of those folks have also not put in the investment to become committers. The bus factor was never terribly high for this one.

If I were starting out with Hadoop I'd still consider Cascalog, as I really enjoy the abstraction it provides. I'm happy to help on this list - the learning curve is not shallow. You should also check out the other excellent clojure/Hadoop work in the community, I'm just not familiar enough to give specific recs.

Best of luck!

On Friday, January 27, 2017, 'David Nies' via cascalog-user <cascal...@googlegroups.com> wrote:

I just wanted to read some documentation on cascalog.org and the page seems dead. Also, the pull request page on github looks kinda dusty.

Is cascalog dead?

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[Nathan Marz]

I renewed the domain and cascalog.org is back up now. 

Twitter: @nathanmarz

http://nathanmarz.com

[Bruce Durling]

Nathan,

Thanks!

cheers,
Bruce

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[Andrés Corrada-Emmanuel]

I wanted to second the sentiment - "Cascalog is way cool and very helpful but its code is too abstract for me." I'm not really a programmer but more of research/development coder. It would help me if there was a document that explained the big picture in the code, or if there were pointers suggested.

My company started with Hadoop and has aggressively transitioned to Spark so my daily use of Cascalog is infrequent. On occasion, there is a problem that I can solve faster running a Hadoop cluster on the raw data into my company's data pipeline. At those times, it is a joy to work with Cascalog.

I'm using it right now to do a HyperLogLog survey of distincts so Cascalog is not dead for me.