New Drill 1.1 Release blog post

Project: http://git-wip-us.apache.org/repos/asf/drill/repo
Commit: http://git-wip-us.apache.org/repos/asf/drill/commit/62e4a539
Tree: http://git-wip-us.apache.org/repos/asf/drill/tree/62e4a539
Diff: http://git-wip-us.apache.org/repos/asf/drill/diff/62e4a539

Branch: refs/heads/gh-pages
Commit: 62e4a53995f9239a5b0e24761c1f8cdb2e26bc44
Parents: 1b5fb2e
Author: Jacques Nadeau <[email protected]>
Authored: Sun Jul 5 11:41:24 2015 -0700
Committer: Bob Rumsby <[email protected]>
Committed: Mon Jul 6 10:33:17 2015 -0700

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http://git-wip-us.apache.org/repos/asf/drill/blob/62e4a539/blog/_posts/2015-07-05-drill-1.1-released.md
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+---
+layout: post
+title: "Drill 1.1 Released"
+code: drill-1.1-released
+excerpt: Drill 1.1 has been released, providing even more world class SQL 
capabilities,  better support for querying a wide variety of non-relational 
datastores and a number of exciting new features.
+authors: ["jnadeau"]
+---
+
+Today I'm happy to announce the availability of the Drill 1.1 release. This 
release addresses [162 
JIRAs](https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12313820&version=12329689)
 on top of May's 1.0 release. Highlights include:
+
+#### Automatic Partitioning for Parquet files
+Drill now supports creating partitions automatically when using CREATE TABLE 
AS (CTAS) to generate Parquet files. By leveraging the unique capabilities of 
the Parquet file format, Drill is able provide this capability and still 
maintain data integrity and compatibility with all other systems that consume 
Parquet (a world first). This functionality can be exercised by utilizing the 
new [PARTITION BY](https://drill.apache.org/docs/partition-by-clause/) clause 
support.
+
+#### Support for Window Functions
+Drill now has first-class support for SQL Window Functions. This includes 
support for:
+
+  * Aggregate Functions: AVG, COUNT, MAX, MIN, SUM
+  * Ranking Functions: CUME_DIST, DENSE_RANK, PERCENT_RANK, RANK and ROW_NUMBER
+  
+The community has done an excellent job providing a [comprehensive set of 
documentation](https://drill.apache.org/docs/sql-window-functions-introduction/)
 so that you can starting using window functions immediately.  
+
+#### Hive Storage Plugin Enhancements
+We've enhanced Drill to work even better with Hive.  We started by upgrading 
Drill's support to work with Hive 1.0.  In addition, Drill now provides a very 
powerful new security feature called [delegated Hive 
impersonation](https://drill.apache.org/docs/configuring-user-impersonation-with-hive-authorization/).
  Compatibility and performance are also improved with better data type support 
(including support for binary, tinyint and smallint data types) and better 
concurrency.
+
+#### SQL Union Improvements
+We've enhanced support for SQL UNION functionality.  Drill now supports both 
UNION and UNION ALL capabilities.  We've also improved the query optimizer to 
better optimize plans that include the UNION clause.
+
+#### New Features For Complex Data
+Drill's complex data capabilities continue to be the best in the market, now 
including support for COUNT aggregations on various types of complex objects.  
Drill also now has improved FLATTEN capabilities to support very large complex 
objects.
+
+#### Improved JDBC Driver Compatibility
+Apache Drill's JDBC driver continues to be improved.  This includes a number 
of enhancements and fixes to better support JDBC tools including 
[MicroStrategy](https://drill.apache.org/docs/using-microstrategy-analytics-with-apache-drill/),
 [Tibco 
Spotfire](https://drill.apache.org/docs/using-tibco-spotfire-desktop-with-drill/),
 [JReport](https://drill.apache.org/docs/configuring-jreport-with-drill/) and 
[SQuirreL](https://drill.apache.org/docs/using-jdbc-with-squirrel-on-windows/). 
 
+
+The Apache Drill community now publishes the JDBC driver for easy inclusion in 
your personal application through the use of Maven coordinates.  You can 
incorporate Drill's JDBC driver into your application by [downloading it 
directly](http://search.maven.org/remotecontent?filepath=org/apache/drill/exec/drill-jdbc-all/1.1.0/drill-jdbc-all-1.1.0.jar)
 or referencing the following coordinates within your Maven application.  
+
+    <dependency>
+      <groupId>org.apache.drill.exec</groupId>
+      <artifactId>drill-jdbc-all</artifactId>
+      <version>1.1.0</version>
+    </dependency>
+
+
+#### MongoDB 3.0 Support
+Drill's support for MongoDB has been improved.  Drill now uses MongoDB's 
latest Java Driver and has enhanced connection pooling for better performance 
and resilience in large-scale deployments.  Learn more on using the [MongoDB 
for Drill 
plugin](https://drill.apache.org/docs/mongodb-plugin-for-apache-drill/).
+
+#### Many More Fixes
+Drill include a number of other smaller fixes and enhancements for a [number 
of 
things](https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12313820&version=12329689)
 including: 
+
+  * improvements for certain types of exists and correlated subqueries
+  * fixes for running Drill on Windows
+  * improvements in implicit casting capabilities in schemaless scenarios
+  * improvements in INFORMATION_SCHEMA
+  * Fixes for both the WebUI and the Drill REST API
+
+
+#### More Frequent Releases
+The amazing Drill community continues to be the driving force behind these 
rapid iterative releases.  Thanks to all the [committers]({{ site.baseurl 
}}/team/) and contributors that made this release possible!  The community's 
goal continues to be maintaining a 4-6 release cycle throughout the summer.  
This means you will have many more enhancements to look for in the next few 
months.  If you use Drill, want to, or want to help develop it, drop by in [the 
community](https://drill.apache.org/mailinglists/).
+
+Download the [Drill 1.1.0 release](https://drill.apache.org/download/) now and 
let us know your thoughts.
+
+Drill On!
+Jacques Nadeau

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