Makoto YUI
Makoto YUI
[BTreeNode.write](https://github.com/myui/btree4j/blob/master/src/main/java/btree4j/BTree.java#L1019) and read operation should be atomic for a better Durability (sudden shutdown etc). To do that, undo log is required.
Since log4j is deprecated, use SLF4j or java.util.logging for the logging scheme.
Change the package structure as - top-level - core - memcache Based on my past work https://github.com/myui/gridool/tree/master/gridool/src/memcached/src/gridool/memcached or https://github.com/netty/netty/tree/master/codec-memcache/src/main/java/io/netty/handler/codec/memcache https://github.com/couchbase/couchbase-jvm-core/tree/master/src/main/java/com/couchbase/client/deps/io/netty/handler/codec/memcache
``` sql create table hyperparams as WITH dual as ( select 1 ) select gridsearch(array('linear','kernel'), array('lambda 1', 'lambda 2')) as params from dual ; create table hyperparams as select '-linear...
http://web.stanford.edu/~boyd/papers/pdf/admm_distr_stats.pdf https://github.com/intentmedia/admm http://imi.kyushu-u.ac.jp/~waki/ws2013/slide/suzuki.pdf
https://www.jair.org/media/953/live-953-2037-jair.pdf
https://en.wikipedia.org/wiki/Lift_(data_mining)
``` sql WITH fv as ( select itemid, collect_list(other) as features, -- array collect_list(cnt) as weight -- array from cooccurrence group by itemid ) select itemid, feature_vector(features, weight) as fv...
Related to #345, Hive UDF invocation is slow in Spark. We can do better at least for UDF, currently not for UDAF/UDTF, by implementing Spark's Java [UDF{1,...,22}](https://github.com/apache/spark/tree/master/sql/core/src/main/java/org/apache/spark/sql/api/java) as well as...
https://cwiki.apache.org/confluence/display/Hive/Unit+Testing+Hive+SQL https://github.com/klarna/HiveRunner