Return-Path: X-Original-To: archive-asf-public-internal@cust-asf2.ponee.io Delivered-To: archive-asf-public-internal@cust-asf2.ponee.io Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183]) by cust-asf2.ponee.io (Postfix) with ESMTP id EA3C0200C33 for ; Sat, 25 Feb 2017 00:18:33 +0100 (CET) Received: by cust-asf.ponee.io (Postfix) id E8E43160B69; Fri, 24 Feb 2017 23:18:33 +0000 (UTC) Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by cust-asf.ponee.io (Postfix) with SMTP id 806EA160B9E for ; Sat, 25 Feb 2017 00:18:28 +0100 (CET) Received: (qmail 9902 invoked by uid 500); 24 Feb 2017 23:18:27 -0000 Mailing-List: contact commits-help@drill.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: commits@drill.apache.org Delivered-To: mailing list commits@drill.apache.org Received: (qmail 8474 invoked by uid 99); 24 Feb 2017 23:18:27 -0000 Received: from git1-us-west.apache.org (HELO git1-us-west.apache.org) (140.211.11.23) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 24 Feb 2017 23:18:26 +0000 Received: by git1-us-west.apache.org (ASF Mail Server at git1-us-west.apache.org, from userid 33) id D482ADFC1C; Fri, 24 Feb 2017 23:18:26 +0000 (UTC) Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 8bit From: adi@apache.org To: commits@drill.apache.org Date: Fri, 24 Feb 2017 23:19:01 -0000 Message-Id: <8de9208742a74145a1ca695864038d66@git.apache.org> In-Reply-To: <857d5097b369466591aa3f82b1bbca66@git.apache.org> References: <857d5097b369466591aa3f82b1bbca66@git.apache.org> X-Mailer: ASF-Git Admin Mailer Subject: [36/51] [abbrv] [partial] drill-site git commit: Revert "Website update" archived-at: Fri, 24 Feb 2017 23:18:34 -0000 http://git-wip-us.apache.org/repos/asf/drill-site/blob/bdf0f883/_site/blog/2015/07/23/drill-tutorial-at-nosql-now-2015/index.html ---------------------------------------------------------------------- diff --git a/_site/blog/2015/07/23/drill-tutorial-at-nosql-now-2015/index.html b/_site/blog/2015/07/23/drill-tutorial-at-nosql-now-2015/index.html deleted file mode 100644 index 8ae589b..0000000 --- a/_site/blog/2015/07/23/drill-tutorial-at-nosql-now-2015/index.html +++ /dev/null @@ -1,188 +0,0 @@ - - - - - - - - - -Drill Tutorial at NoSQL Now! 2015 - Apache Drill - - - - - - - - - - - - - - - - - - -

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Drill Tutorial at NoSQL Now! 2015

- - - - Author: Tomer Shiran (Founder, PMC Member and Committer, Apache Drill)
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- Add to Calendar - 08-20-2015 13:00:00 - 08-20-2014 16:15:00 - 6 - Drill Tutorial at NoSQL Now! 2015 - NoSQL Now! 2015 is hosting a 3-hour tutorial on Apache Drill. Drill committers Tomer Shiran and Jacques Nadeau will demonstrate how to analyze NoSQL data with SQL queries and standard BI tools. - San Jose Convention Center, 150 West San Carlos St, San Jose, CA 95113 USA - Tomer Shiran - tshiran\@apache.org - false - MM-DD-YYYY -

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NoSQL Now! 2015 will be hosting a 3-hour tutorial on Apache Drill. Jacques Nadeau and I will provide a deep dive on Drill and demonstrate how to analyze NoSQL data with SQL queries and standard BI tools. We would love to see you there!

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When you register, use the coupon code "SPEAKER" for a 20% discount on the registration fees.

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- - - - - - http://git-wip-us.apache.org/repos/asf/drill-site/blob/bdf0f883/_site/blog/2015/10/16/drill-1.2-released/index.html ---------------------------------------------------------------------- diff --git a/_site/blog/2015/10/16/drill-1.2-released/index.html b/_site/blog/2015/10/16/drill-1.2-released/index.html deleted file mode 100644 index 24fca88..0000000 --- a/_site/blog/2015/10/16/drill-1.2-released/index.html +++ /dev/null @@ -1,211 +0,0 @@ - - - - - - - - - -Drill 1.2 Released - Apache Drill - - - - - - - - - - - - - - - - - - -

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Drill 1.2 Released

- - - - Author: Jacques Nadeau (PMC Chair and Committer, Apache Drill)
- -Date: Oct 16, 2015 -

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Today I'm happy to announce the availability of the Drill 1.2 release. This release addresses 217 JIRAs on top of the 1.1 release. Highlights include:

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Relational Database Support

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Drill now includes a JDBC storage plugin for querying relational databases (RDBMSs). Users can run SQL queries that join data between non-relational datastores (eg, MongoDB, HBase, HDFS, S3) and relational databases (eg, MySQL, Oracle). For example, a single query can join log files in HDFS with a users table in MySQL. Drill automatically pushes execution (projections, filters, partial joins, etc.) down into the RDBMS whenever possible.

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New Window Functions

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The 1.2 release adds additional window functions: NTILE, FIRST_VALUE, LAST_VALUE, LEAD and LAG. Drill now supports 15 different window functions:

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Value Functions: FIRST_VALUE, LAST_VALUE, LEAD, LAG
Aggregate Functions: AVG, COUNT, MAX, MIN, SUM
Ranking Functions: CUME_DIST, DENSE_RANK, NTILE, PERCENT_RANK, RANK, ROW_NUMBER

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In addition to supporting new window functions, Drill 1.2 adds support for multiple window functions in a single query. A query can contain multiple window functions that slice up the data in different ways by means of different OVER clauses, but they all act on the same collection of rows.

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Parquet Metadata Caching

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When running a query against a directory tree with Parquet files, Drill scans the directory and reads the footers of the files during the planning phase. This allows Drill to prune partitions and optimize query execution for data locality. However, this process can be time consuming for directory trees with thousands of files. Drill 1.2 includes a new feature that caches the metadata information so that subsequent queries don't need to scan all the files. The cache is automatically maintained based on the directory timestamps.

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Performance Improvements on HBase and Hive Tables

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Drill 1.2 introduces a faster read path for HBase and Hive tables. When querying Hive tables backed by Parquet files, Drill now uses a high-performance Parquet reader rather than the Hive SerDe.

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`DROP TABLE` for Files and Directories

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Drill 1.2 allows users to drop file- and directory-based tables with a SQL command (DROP TABLE).

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Enhanced MongoDB Integration

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Drill 1.2 supports extended JSON types, addressing previous issues with queries on MongoDB collections.

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Many More Fixes

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Drill 1.2 includes hundreds of other fixes and enhancements.

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Download the Drill 1.2 release now and let us know your thoughts.

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Drill On! -Jacques Nadeau

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- - - - - - http://git-wip-us.apache.org/repos/asf/drill-site/blob/bdf0f883/_site/blog/2015/11/23/drill-1.3-released/index.html ---------------------------------------------------------------------- diff --git a/_site/blog/2015/11/23/drill-1.3-released/index.html b/_site/blog/2015/11/23/drill-1.3-released/index.html deleted file mode 100644 index bb8265b..0000000 --- a/_site/blog/2015/11/23/drill-1.3-released/index.html +++ /dev/null @@ -1,226 +0,0 @@ - - - - - - - - - -Drill 1.3 Released - Apache Drill - - - - - - - - - - - - - - - - - - -

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Drill 1.3 Released

- - - - Author: Jacques Nadeau (PMC Chair and Committer, Apache Drill)
- -Date: Nov 23, 2015 -

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Today I'm happy to announce the availability of the Drill 1.3 release. This release addresses 58 JIRAs on top of the 1.2 release. Highlights include:

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Enhanced Amazon S3 Support

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Drill 1.3 utilizes a new library, called s3a, for reading data from S3. The s3a library includes improvements over the previous s3n library, such as higher performance and the ability to read large files (over 5GB).

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In addition to the new s3a library, Drill 1.3 makes it easier to set up your AWS credentials. Simply edit the file conf/core-site.xml in the Drill install directory. For more information, check out the step-by-step instructions in the documentation.

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Heterogeneous Types

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Drill 1.3 includes support for mixed-type columns, often found in systems like MongoDB and file formats like JSON. For example, Drill can now columns that evolve from one data type to another over time.

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Drill 1.3 provides a collection of functions that enable you to test the data type of a value. For example, if you have a column that has both lists (arrays) and numbers, you can use the following query to extract the first element from the array values:

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SELECT 1 + CASE WHEN is_list(a) THEN a[0] ELSE a END FROM table;

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Text File Headers

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Drill is now able to parse the header row in a text file (CSV, TSV, etc.). Prior to Drill 1.3, data had to be accessed through the columns array:

SELECT columns[0], columns[1] FROM dfs.`/path/to/users.csv`
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With Drill 1.3, you can use the actual column names in the CSV file:

SELECT name, address FROM dfs.`/path/to/users.csv`
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Enabling header parsing is as simple as setting the extractHeader parameter in the storage plugin configuration for the desired file extensions. For more information, check out the documentation.

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Sequence Files

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Drill now supports sequence files, a format commonly used in the Hadoop ecosystem. A sequence file contains a series of keys and values, and querying it with Drill is as easy as querying any other self-describing format:

SELECT *
-FROM dfs.tmp.`simple.seq`
-LIMIT 1;
-+--------------+---------------+
-|  binary_key  | binary_value  |
-+--------------+---------------+
-| [B@70828f46  | [B@b8c765f    |
-+--------------+---------------+
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Drill's CONVERT_FROM function makes it easy to decode the binary values:

SELECT CONVERT_FROM(binary_key, 'UTF8'), CONVERT_FROM(binary_value, 'UTF8')
-FROM dfs.tmp.`simple.seq`
-LIMIT 1
-;
-+-----------+-------------+
-|  EXPR$0   |   EXPR$1    |
-+-----------+-------------+
-| key0      |   value0    |
-+-----------+-------------+
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Many More Fixes

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Drill 1.3 includes many other improvements, including enhancements related to querying Hive tables, MongoDB collections and Avro files. Check out the complete list of fixes and enhancements for more information.

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Download the Drill 1.3 release now and let us know your thoughts.

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Drill On! -Jacques Nadeau

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- - - - - - http://git-wip-us.apache.org/repos/asf/drill-site/blob/bdf0f883/_site/blog/index.html ---------------------------------------------------------------------- diff --git a/_site/blog/index.html b/_site/blog/index.html deleted file mode 100644 index 20aa1dc..0000000 --- a/_site/blog/index.html +++ /dev/null @@ -1,230 +0,0 @@ - - - - - - - - - -Blog - Apache Drill - - - - - - - - - - - - - - - - - - -

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Blog

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Drill 1.3 Released
-Posted on Nov 23, 2015 -by Jacques Nadeau -
Drill 1.3 has been released. Users can now query Hadoop sequence files and text delimited files with headers. In addition, this release provides significant performance and usability improvements for working with Amazon S3. Drill 1.3 also adds support for heterogeneous types, enabling queries on datasets with columns that have more than one data type (commonly seen in JSON files, MongoDB collections, etc.).

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Drill 1.2 Released
-Posted on Oct 16, 2015 -by Jacques Nadeau -
Drill 1.2 has been released. This release includes a new JDBC storage plugin for querying relational databases, as well as new window functions such as `NTILE`, `FIRST_VALUE`, `LAST_VALUE`, `LEAD` and `LAG`. This release addresses 210 JIRAs, including performance, stability and documentation enhancements.

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Drill Tutorial at NoSQL Now! 2015
-Posted on Jul 23, 2015 -by Tomer Shiran -
Attend the 3-hour Drill tutorial at the NoSQL Now! 2015 conference to learn more about Apache Drill.

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Drill 1.1 Released
-Posted on Jul 5, 2015 -by Jacques Nadeau -
Drill 1.1 has been released, providing window functions, automatic partitioning, improved MongoDB support and more. This release addresses 162 JIRAs.

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The Apache Software Foundation Announces Apache Drill 1.0
-Posted on May 19, 2015 -by Tomer Shiran -
The Apache Software Foundation announced today the availability of Apache Drill 1.0, the schema-free SQL query engine for Apache Hadoop, NoSQL and cloud storage.

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Drill 1.0 Released
-Posted on May 19, 2015 -by Tomer Shiran, Jacques Nadeau -
Drill 1.0 has been released, representing a major milestone for the Drill community. Drill in now production-ready, making it easier than ever to explore and analyze data in non-relational datastores.

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Drill 0.9 Released
-Posted on May 4, 2015 -by Tomer Shiran, Jacques Nadeau -
The community has just released Drill 0.9, which includes 199 resolved JIRAs and numerous enhancements.

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Apache Parquet Graduates to a Top-Level Project
-Posted on Apr 30, 2015 -by Tomer Shiran -
The Apache Parquet project has graduated to a top-level project (TLP) at the Apache Software Foundation.

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Drill 0.8 Released
-Posted on Mar 31, 2015 -by Tomer Shiran, Jacques Nadeau -
The community has just released Drill 0.8, which includes 243 resolved JIRAs and numerous enhancements.

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MicroStrategy Announces Drill Support
-Posted on Mar 23, 2015 -by Tomer Shiran -
MicroStrategy announced that it is now certified with Apache Drill, providing a first-class BI experience for Hadoop and NoSQL databases.

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Schema-free JSON Data Infrastructure
-Posted on Jan 27, 2015 -by Tomer Shiran -
JSON has emerged as the de-facto standard data exchange format. Data infrastructure technologies such as Apache Drill, MongoDB and Elasticsearch are embracing JSON as their native data models, bringing game-changing ease-of-use and agility to developers and analysts.

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Drill 0.7 Released
-Posted on Dec 23, 2014 -by Jacques Nadeau -
The community has just released Drill 0.7, which includes 228 resolved JIRAs and numerous enhancements.

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What's Coming in 2015?
-Posted on Dec 16, 2014 -by Tomer Shiran -
Drill is now a top-level project, and the community is expanding rapidly. Find out more about some of the new features planned for 2015.

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Apache Drill Q&A Panelist Spotlight
-Posted on Dec 11, 2014 -by Tomer Shiran -
Join us on Twitter for a live Q&A on Wednesday, December 17.

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Running SQL Queries on Amazon S3
-Posted on Dec 9, 2014 -by Nick Amato -
Drill enables you to run SQL queries directly on data in S3. There's no need to ingest the data into a managed cluster or transform the data. This is a step-by-step tutorial on how to use Drill with S3.

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Apache Drill Graduates to a Top-Level Project
-Posted on Dec 2, 2014 -by Tomer Shiran -
Drill has graduated to a Top-Level Project at Apache. This marks a significant accomplishment for the Drill community, which now includes dozens of developers working at a variety of companies.

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SQL on MongoDB
-Posted on Nov 19, 2014 -by Anil Kumar Batchu, Kamesh Bhallamudi -
The MongoDB storage plugin for Drill enables analytical queries on MongoDB databases. Drill's schema-free JSON data model is a natural fit for MongoDB's data model.

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Want to contribute a blog post? Check out the source for some of the existing posts to see how it's done. When you're ready, email your Markdown file to dev@drill.apache.org.

Third-Party Articles

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How to Turn Raw Data from Yelp into Insights in Minutes with Apache Drill (Nov 13, 2014)

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How to Use SQL, Hadoop, Drill, REST, JSON, NoSQL, and HBase in a Simple REST Client (Jan 6, 2015)

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- - - - - - http://git-wip-us.apache.org/repos/asf/drill-site/blob/bdf0f883/_site/community-resources/index.html ---------------------------------------------------------------------- diff --git a/_site/community-resources/index.html b/_site/community-resources/index.html deleted file mode 100644 index bf212b3..0000000 --- a/_site/community-resources/index.html +++ /dev/null @@ -1,162 +0,0 @@ - - - - - - - - - -Community Resources - Apache Drill - - - - - - - - - - - - - - - - - - -

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Community Resources

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User Resources

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Documentation
Twitter: @ApacheDrill
Meetups: - -
- Bay Area
- New York
- London
- Tokyo
Presentations: SlideShare

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Developer Resources

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Issue tracker: JIRA
Contribute to Drill
Hangout: Monthly Drill Hangout (first Tuesday of every month at 10am PDT)
Source code: GitHub

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- - - - - - http://git-wip-us.apache.org/repos/asf/drill-site/blob/bdf0f883/_site/css/content.css ---------------------------------------------------------------------- diff --git a/_site/css/content.css b/_site/css/content.css deleted file mode 100644 index bdff64c..0000000 --- a/_site/css/content.css +++ /dev/null @@ -1 +0,0 @@ -#menu ul li.toc-categories a{height:50px;padding:0;text-decoration:none;width:60px;text-align:center;color:#bababa}#menu ul li.toc-categories{float:left;line-height:45px;font-size:18px;display:none;overflow:auto}body.blog #menu ul li.toc-categories{display:none}body.blog #menu ul li.logo{padding-left:30px}div.doc-nav{overflow:auto;width:100%;margin-top:30px}div.doc-nav a{text-decoration:none}div.doc-nav a:hover{text-decoration:underline}div.doc-nav span.previous-toc{float:left;width:auto}div.doc-nav span.back-to-toc{float:left;width:auto;margin-left:15%}div.doc-nav span.next-toc{float:right}.main-content .int_text{margin-left:0px;margin-top:0px}.main-content 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Relational Database Support

New Window Functions

Parquet Metadata Caching

Performance Improvements on HBase and Hive Tables

DROP TABLE for Files and Directories

Enhanced MongoDB Integration

Many More Fixes

Enhanced Amazon S3 Support

Heterogeneous Types

Text File Headers

Sequence Files

Many More Fixes

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Third-Party Articles

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`DROP TABLE` for Files and Directories