MapR will publish untested rpm/deb packages later today or tomorrow. I will send another update when packages are ready for download.
On Thu, Oct 22, 2015 at 6:08 AM, John Omernik <[email protected]> wrote: > Can MapR release a beta build or a dev build with the latest features > included? My issue is when I attempted to build from source with the MapR > Profile, I am not able to utilize MapR tables. (Not sure what I am doing > wrong) and I would rather not "choose" between MapR Tables and the new JDBC > features in my testing. On one hand we could troubleshoot my building > skills (which I am sorely lacking) or if MapR has a process to take the > current code and package it up in a .deb and .rpm with a "use at own risk" > that would be very handy for us who want to play with the new capabilities. > > Thanks! > John > > > On Wed, Oct 21, 2015 at 2:47 PM, Neeraja Rentachintala < > [email protected]> wrote: > > > John, Chris > > > > yes, MapR Drill 1.2 is different from Apache Drill 1.2 by few fixes. The > > fixes are mainly related to the newly introduced JDBC storage plugin > > package, a great cool feature , which however came in very late in the > > cycle for MapR to be able to consume it and deliver to customers with > > quality. We will be absorbing these fixes as part of the next release. > > > > Meanwhile, we will be publishing the delta between these releases on the > > MapR docs so users understand the difference. Also as the Drill community > > getting broader , we are making sure we are tightly working with the > > community to ensure the quality of the project is high and release > cadence > > is predictable so that these exceptions are completely eliminated or > > minimized in future. > > > > Hope that helps. Feel free to ping me at [email protected] for > > any additional questions. > > > > Thanks > > -Neeraja > > > > On Wed, Oct 21, 2015 at 8:11 AM, Andrew Brust < > > [email protected]> wrote: > > > > > > > > MapR Ships Apache Drill 1.2 in its Distribution > > > > > > Launches new Quick Start Solution for self-service data exploration > > > > > > San Jose, CA, – October 21, 2015 – MapR Technologies, Inc., provider of > > > the top-ranked distribution for Apache™ Hadoop® that integrates > web-scale > > > enterprise storage and real-time database capabilities, today announced > > the > > > availability of Apache Drill 1.2 in its Distribution as well as a new > > Data > > > Exploration Quick Start Solution. Customers and partners can now more > > > quickly leverage Drill to get fast business insights from all their > data > > in > > > Hadoop and other sources. In addition, MapR also released a > comprehensive > > > SQL-based test framework to the open source community. > > > > > > Interest and adoption of Drill, which was recently recognized as one of > > > the best in open source big data technologies, continues to grow since > > its > > > general availability earlier this year. Thousands of users have > > downloaded > > > Drill and numerous organizations have it in production, interactively > > > analyzing up to PBs of data. Additionally, over 4,000 analysts, BI > > > architects and developers have completed Drill training courses > provided > > by > > > the free Hadoop On-Demand Training program from MapR. > > > > > > “Capturing and analyzing digital and social media data continues to be > > > highly valuable when engaging with customers,” said Donna Belanger, > head > > of > > > partner tools, Harte Hanks. “However, data formats vary greatly and > the > > > amount of information grows at an extremely fast pace. Without the > need > > > for complex data modeling, Apache Drill simplifies the process and > > enables > > > us to shorten the time it takes to explore these semi-structured and > > > structured data sources for our clients and help them rapidly identify > > > actionable insights.” > > > > > > Version 1.2 of Apache Drill, which is now available in the MapR > > > Distribution, offers extended SQL analytics functionality, superior > > > performance, deeper Hive integration, and improvements in overall > > > enterprise manageability. Highlights include: > > > > > > • Advanced SQL Functions: Drill 1.2 continues to deliver on the > > > promise of ANSI-SQL and help companies reuse existing investments in > > > BI/analytic tools, with the addition of SQL-compliant analytical and > > window > > > functions. New functions include Lead, Lag, First Value, and Last > Value, > > in > > > addition to the ranking and a variety of aggregated window functions > > > delivered in Drill 1.1. > > > > > > • High Performance: Drill 1.2 offers superior performance and > scale > > > for interactive workloads. Some of the capabilities include a new > > metadata > > > cache mechanism which speeds up queries against 1000s of files and > > enhanced > > > pushdown features for a variety of datatypes to enable faster queries > on > > > HBase and MapR-DB > > > > > > • Deeper Hive Integration: Drill 1.2 extends its compatibility > and > > > performance with Hive. With deeper integration, seamless deployment of > > Hive > > > for ETL and Drill for interactive queries can take place simultaneously > > in > > > the same cluster, enabling companies to leverage existing investments > in > > > Hive with Drill. > > > > > > “AnswerRocket empowers users with search-driven data discovery and > > > analytics,” said Alon Goren, CEO of AnswerRocket. “When we heard about > > > Drill’s ability to interact with NoSQL file systems, we integrated > > > AnswerRocket with Drill and were truly impressed with the SQL > > > Implementation, speed, and scalability provided by Drill. When > combined > > > with AnswerRocket’s ability to translate natural language questions > into > > > SQL, Apache Drill makes self-service analytics much more easily > > accessible > > > to enterprises leveraging big data.” > > > > > > MapR also announced a new Data Exploration Quick Start Solution, which > > > enables companies to rapidly deploy self-service analytics on big data > > and > > > discover new business insights faster. > > > > > > In addition, MapR released a comprehensive SQL test framework to the > open > > > source community. With over 10,000 tests developed over the course of > > > several months, this framework is available for developers in the > > community > > > to continue to maintain the enterprise quality of the Apache Drill > > project > > > and accelerate community-driven innovation. > > > > > > “Releasing the test frameworks demonstrates our continued commitment in > > > building a strong community to drive the innovation and quality of the > > > Apache Drill OSS project,” > > > said Neeraja Rentachintala, director, product management, MapR > > > Technologies. “Drill users are getting value from their relational > > > structured data in Hadoop as well as enabling a broader set of users in > > an > > > organization to leverage new types of semi-structured data sources such > > as > > > JSON. As the only schema-free SQL engine for big data, Drill brings > > > unprecedented flexibility and performance, rapid time to insights, > > granular > > > security, scale in all dimensions and integration with existing tools.” > > > > > > > > > DRILL RESOURCES > > > • Take advantage of free MapR On-Demand Hadoop training to get > > > started on Drill > > > • To learn more about the Drill 1.2 product and its key features, > > > visit here > > > • To experience Drill in action by downloading the software or to > > > find more information, visit here. > > > > > > > > > Tweet this: Apache Drill 1.2 and Data Exploration Quick Start Solution > > > now available from MapR. http://bit.ly/1GPfPg3 > > > > > > > > > > > > About MapR Technologies > > > MapR provides the industry's only big data platform that combines the > > > processing power of the top-ranked Hadoop with web-scale enterprise > > storage > > > and real-time database capabilities, enabling customers to harness the > > > enormous power of their data. Organizations with the most demanding > > > production needs, including sub-second response for fraud prevention, > > > secure and highly available data-driven insights for better healthcare, > > > petabyte analysis for threat detection, and integrated operational and > > > analytic processing for improved customer experiences, run on MapR. A > > > majority of customers achieve payback in fewer than 12 months and > realize > > > greater than 5X ROI. MapR ensures customer success through world-class > > > professional services and with free on-demand training that 40,000 > > > developers, data analysts and administrators have used to close the big > > > data skills gap. Amazon, Cisco, Google, HP, SAP, and Teradata are part > of > > > the worldwide MapR partner ecosystem. Investors include Google Capital, > > > Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and > > > Redpoint Ventures. Connect with MapR on Twitter, LinkedIn, and Facebook > > > > > > # # # > > > > > > > > > Media Contacts: > > > Beth Winkowski > > > MapR Technologies, Inc. > > > (978) 649-7189 > > > [email protected] > > > > > > Kim Pegnato > > > MapR Technologies, Inc. > > > (781) 620-0016 > > > [email protected] > > > > > > -----Original Message----- > > > From: Christopher Matta [mailto:[email protected]] > > > Sent: Wednesday, October 21, 2015 10:45 AM > > > To: [email protected] > > > Subject: Re: MapR Drill 1.2 Package > > > > > > Good question, I'd like to know as well. > > > > > > I know that there were some JDBC fixes added to the official Drill 1.2 > > > release, are those going to get back ported into the MapR release? > > > > > > Chris Matta > > > [email protected] > > > 215-701-3146 > > > > > > On Tue, Oct 20, 2015 at 2:36 PM, John Omernik <[email protected]> > wrote: > > > > > > > Hey quick questions for the @maprtech folks. I am using the MapR > > > > package for drill dated Oct 7 (Drill 1.2.0.20151007103) in MapR > terms, > > > > with the release announcement on Oct 17, has anything changed > official > > > > 1.2 release compared to the MapR Release 10 days earlier? > > > > > > > > Thanks! > > > > > > > > John > > > > > > > > > >
