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 > > >
