The Apache Hive data warehouse software facilitates querying and managing
large datasets residing in distributed storage. Hive provides a mechanism
to project structure onto this data and query the data using a SQL-like
language called HiveQL. At the same time this language also allows
traditional map/reduce programmers to plug in their custom mappers and
reducers when it is inconvenient or inefficient to express this logic in HiveQL.
WWW: http://hive.apache.org/
Remove expired ports:
Adjusted for ports rescued since r534032
2020-05-05 audio/festvox-czech: Broken for more than 6 months
2020-05-05 audio/gkrellmvolume2: Broken for more than 6 months
2020-05-05 audio/mixmos: Broken for more than 6 months
2020-05-05 audio/mma: Broken for more than 6 months
2020-05-05 audio/pd-cyclone: Broken for more than 6 months
2020-05-05 audio/shorten: Broken for more than 6 months
2020-05-05 audio/taglib-sharp: Broken for more than 6 months
2020-05-05 audio/xhippo: Broken for more than 6 months
2020-05-05 biology/consed: Broken for more than 6 months
2020-05-05 biology/plinkseq: Broken for more than 6 months
2020-05-05 biology/seqtools: Broken for more than 6 months
(Only the first 15 lines of the commit message are shown above )
Clean up after java/openjdk6 and java/openjdk6-jre removal
java/openjdk6 support was removed from Mk/bsd.java.mk (r512662) and
java/openjdk6 and java/openjdk6-jre were removed from the ports tree
(r512663). Now this patch completely removes remaining stuff from the
ports tree.
PR: 241953 (exp-run)
Reviewed by: glewis
Approved by: portmgr (antoine)
Differential Revision: https://reviews.freebsd.org/D22342
Cleanup DIST* variables.
When appropriate:
- Try to use DISTVERSION{SUF,PRE}FIX
- Replace PORTNAME-PORTVERSION by DISTNAME
- Convert MASTER_SITES to use macros
- Other light cleanup
With hat: portmgr
Sponsored by: Absolight
New port: Apache Hive.
The Apache Hive data warehouse software facilitates querying and managing
large datasets residing in distributed storage. Hive provides a mechanism
to project structure onto this data and query the data using a SQL-like
language called HiveQL. At the same time this language also allows
traditional map/reduce programmers to plug in their custom mappers and
reducers when it is inconvenient or inefficient to express this logic in HiveQL.
WWW: http://hive.apache.org/
