Here's the link http://drill_121.s3.amazonaws.com/list.html
Note that this package is not an official release. On Thu, Oct 22, 2015 at 9:33 AM, Suresh Ollala <[email protected]> wrote: > 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 >> > > > >> > > >> > >> > >
