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From Apache Wiki <wikidi...@apache.org>
Subject [Incubator Wiki] Update of "June2016" by JigneshPatel
Date Thu, 02 Jun 2016 20:04:08 GMT
Dear Wiki user,

You have subscribed to a wiki page or wiki category on "Incubator Wiki" for change notification.

The "June2016" page has been changed by JigneshPatel:
https://wiki.apache.org/incubator/June2016?action=diff&rev1=52&rev2=53

  --------------------
  Quickstep
  
- Modern servers pack enough storage and computing power that just a decade ago was spread
across a modest-sized cluster. Given that we are on a technological path to continue to increase
the storage and compute densities of individual server nodes, we must complement methods that
focus on '''scaling-out''' by also developing methods to '''scale-in''' to fully exploit the
hardware capabilities that is packed in each server node. The initial phase of the Quickstep
project focuses on this scaling-in aspect. Quickstep uses novel methods for organizing data
(including columnar and hybrid storage organization), template metaprogramming for vectorized
query execution, and a query execution paradigm that separate control-flow from data-flow.
Collectively, these methods achieve high performance on contemporary servers with multi-socket,
multi-core processors and large main memory configurations. To keep the project focused, the
project’s initial target is interactive in-memory data warehousing workloads in single-node
settings. In the near future we plan to expand from this initial single-node focus to a distributed
setting. Early results indicate that Quickstep is over an order-of-magnitude faster than existing
platforms including Spark 2.0 and PostgreSQL 9.6 Beta1 (that now has parallel query processing).
Quickstep has been incubating since 2016-03-29.
+ Modern servers pack enough storage and computing power that just a decade ago was spread
across a modest-sized cluster. Given that we are on a technological path to continue to increase
the storage and compute densities of individual server nodes, we must complement methods that
focus on '''scaling-out''' by also developing methods to '''scale-in''' to fully exploit the
hardware capabilities that is packed in each server node. The initial phase of the Quickstep
project focuses on this scaling-in aspect. Quickstep uses novel methods for organizing data
(including columnar and hybrid storage organization), template metaprogramming for vectorized
query execution, and a query execution paradigm that separate control-flow from data-flow.
Collectively, these methods achieve high performance on contemporary servers with multi-socket,
multi-core processors and large main memory configurations. To keep the project focused, the
project’s initial target is interactive in-memory data warehousing workloads in single-node
settings. In the near future we plan to expand from this initial single-node focus to a distributed
setting. Early results indicate that Quickstep is over an order-of-magnitude faster than existing
platforms including Spark 2.0 and PostgreSQL 9.6 Beta1 (that now has parallel query processing).

+ 
+ Quickstep has been incubating since 2016-03-29.
  
  Three most important issues to address in the move towards graduation:
  
@@ -1122, +1124 @@

    2. Acquire early adopters
    3. Acquire early adopters
      (We know it is that important!)
+ 
+ Any issues that the Incubator PMC (IPMC) or ASF Board wish/need to be
  aware of?
- N/A
+ No.
  
  How has the community developed since the last report?
  We were incubated into Apache recently, and the developers are actively learning about the
Apache way from our mentors.
@@ -1136, +1140 @@

  
    No release yet.
  
- When were the last committers or PMC members elected?
+ When were the last committers or PMC members elected? N/A
- Last committer joined on May 30, 2016.
  
  Signed-off-by:
  

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