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Posted to commits@drill.apache.org by ts...@apache.org on 2015/05/19 01:36:35 UTC
[12/31] drill git commit: Text updates
Text updates
Project: http://git-wip-us.apache.org/repos/asf/drill/repo
Commit: http://git-wip-us.apache.org/repos/asf/drill/commit/3ae74f0e
Tree: http://git-wip-us.apache.org/repos/asf/drill/tree/3ae74f0e
Diff: http://git-wip-us.apache.org/repos/asf/drill/diff/3ae74f0e
Branch: refs/heads/gh-pages
Commit: 3ae74f0ea82617068115a0833309d303043198f2
Parents: 1b7072c
Author: Tomer Shiran <ts...@gmail.com>
Authored: Sun May 17 21:04:18 2015 -0700
Committer: Tomer Shiran <ts...@gmail.com>
Committed: Sun May 17 21:04:18 2015 -0700
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blog/_drafts/drill-1.0-released.md | 8 ++++----
index.html | 33 +++++++++++++++------------------
2 files changed, 19 insertions(+), 22 deletions(-)
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http://git-wip-us.apache.org/repos/asf/drill/blob/3ae74f0e/blog/_drafts/drill-1.0-released.md
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diff --git a/blog/_drafts/drill-1.0-released.md b/blog/_drafts/drill-1.0-released.md
index e0c721a..e0631f7 100644
--- a/blog/_drafts/drill-1.0-released.md
+++ b/blog/_drafts/drill-1.0-released.md
@@ -7,14 +7,14 @@ authors: ["tshiran", "jnadeau"]
---
We embarked on the Drill project in late 2012 with two primary objectives:
-* Revolutionize the query engine by enabling low-latency queries on Big Data while getting rid of all the 'overhead' - namely, the need to load data, create and maintain schemas, transform data, etc. We wanted to develop a system that would support the speed and agility at which modern organizations want (or need) to operate in this era.
+* Enable agility by getting rid of all the traditional overhead - namely, the need to load data, create and maintain schemas, transform data, etc. We wanted to develop a system that would support the speed and agility at which modern organizations want (or need) to operate in this era.
* Unlock the data housed in non-relational datastores like NoSQL, Hadoop and cloud storage, making it available not only to developers, but also business users, analysts, data scientists and anyone else who can write a SQL query or use a BI tool. Non-relational datastores are capturing an increasing share of the world's data, and it's incredibly hard to explore and analyze this data.
-Today we're happy to announce the availability of Drill 1.0, our first production-ready release. Drill 1.0 includes many performance and reliability enhancements over previous releases.
+Today we're happy to announce the availability of the production-ready Drill 1.0 release. This release addresses [228 JIRAs](https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12313820&version=12325568) on top of the 0.9 release earlier this month.
We would not have been able to reach this milestone without the tremendous effort by all the [committers]({{ site.baseurl }}/team/) and contributors, and we would like to congratulate the entire community on achieving this milestone. While 1.0 is an exciting milestone, it's really just the beginning of the journey. We'll release 1.1 next month, and continue with our 4-6 week release cycle, so you can count on many additional enhancements over the coming months.
-We have inlcluded the press release issued by the Apache Software Foundation below.
+We have included the press release issued by the Apache Software Foundation below.
Happy Drilling!
Tomer Shiran and Jacques Nadeau
@@ -23,7 +23,7 @@ Tomer Shiran and Jacques Nadeau
# The Apache Software Foundation Announces Apache™ Drill™ 1.0
-## Open Source schema-free SQL query engine revolutionizes data exploration and analytics for Apache Hadoop®, NoSQL and Cloud storage
+## Open Source schema-free SQL query engine revolutionizes data exploration and analytics for Apache Hadoop®, NoSQL and Cloud storage
Forest Hill, MD - 19 May 2015 - The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today the availability of Apache™ Drill™ 1.0, the schema-free SQL query engine for Apache Hadoop®, NoSQL and Cloud storage.
http://git-wip-us.apache.org/repos/asf/drill/blob/3ae74f0e/index.html
----------------------------------------------------------------------
diff --git a/index.html b/index.html
index e64a70b..6b27d40 100755
--- a/index.html
+++ b/index.html
@@ -87,8 +87,8 @@ $(document).ready(function() {
<div class="big"><img src="{{ site.baseurl }}/images/home-any.png" style="width:300px" /></div>
<div class="description">
<h1>Query any non-relational datastore (well, almost...)</h1>
- <p>Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you could join a user profile collection in MongoDB with a directory of event logs in Hadoop.</p>
- <p>Drill’s datastore-aware optimizer automatically restructures a query plan to leverage the datastore’s internal processing capabilities. In addition, Drill supports 'data locality', so it’s a good idea to co-locate Drill and the datastore on the same nodes.</p>
+ <p>Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop.</p>
+ <p>Drill's datastore-aware optimizer automatically restructures a query plan to leverage the datastore's internal processing capabilities. In addition, Drill supports data locality, so it's a good idea to co-locate Drill and the datastore on the same nodes.</p>
</div>
<div class="small"><img src="{{ site.baseurl }}/images/home-any.png" style="width:300px" /></div>
</div>
@@ -100,7 +100,7 @@ $(document).ready(function() {
<p>Drill leverages advanced query compilation and re-compilation techniques to maximize performance without requiring up-front schema knowledge.</p>
</div>
<div class="small big"><pre>SELECT * FROM <span class="code-underline">dfs.root.`/web/logs`</span>;
-
+
SELECT country, count(*)
FROM <span class="code-underline">mongodb.web.users</span>
GROUP BY country;
@@ -113,8 +113,8 @@ SELECT timestamp
<div class="home-row">
<div class="big"><img src="{{ site.baseurl }}/images/home-json.png" style="width:300px" /></div>
<div class="description">
- <h1>Treat your data like a table even when it’s not</h1>
- <p>Drill features a JSON data model that enables it to query complex/nested data and rapidly evolving structure commonly seen in modern applications and non-relational datastores. Drill also provides intuitive extensions to SQL so that the user can easily query complex data.
+ <h1>Treat your data like a table even when it's not</h1>
+ <p>Drill features a JSON data model that enables queries on complex/nested data as well as rapidly evolving structures commonly seen in modern applications and non-relational datastores. Drill also provides intuitive extensions to SQL so that you can easily query complex data.
<p>Drill is the only columnar query engine that supports complex data. It features an in-memory shredded columnar representation for complex data which allows Drill to achieve columnar speed with the flexibility of an internal JSON document model.</p>
</div>
<div class="small"><img src="{{ site.baseurl }}/images/home-json.png" style="width:300px" /></div>
@@ -124,33 +124,31 @@ SELECT timestamp
<div class="description">
<h1>Keep using the BI tools you love</h1>
<p>Drill supports standard SQL. Business users, analysts and data scientists can use standard BI/analytics tools such as Tableau, Qlik, MicroStrategy, Spotfire, SAS and Excel to interact with non-relational datastores by leveraging Drill's JDBC and ODBC drivers. Developers can leverage Drill's simple REST API in their custom applications to create beautiful visualizations.</p>
- <p>Drill’s virtual datasets allow even the most complex, non-relational data to be mapped into BI-friendly structures which users can explore and visualize using their tool of choice.</p>
+ <p>Drill's virtual datasets allow even the most complex, non-relational data to be mapped into BI-friendly structures which users can explore and visualize using their tool of choice.</p>
</div>
<div class="small big"><img src="{{ site.baseurl }}/images/home-bi.png" style="width:300px" /></div>
</div>
<div class="home-row">
- <div class="big"><pre>$ curl j.mp/drill-1-0-0-rc1 -o drill.tgz
+ <div class="big"><pre>$ curl <url> -o drill.tgz
$ tar xzf drill.tgz
-$ cd apache-drill-1.0.0
-$ bin/drill-embedded
-</pre></div>
+$ cd apache-drill-<version>
+$ bin/drill-embedded</pre></div>
<div class="description">
<h1>Scale from one laptop to 1000s of servers</h1>
- <p>We made it easy to download and run Drill on your laptop. It runs on Mac, Windows and Linux, and within a minute or two you’ll be exploring your data. When you’re ready for prime time, deploy Drill on a cluster of commodity servers and take advantage of the world’s most scalable and high performance execution engine.
- <p>Drill’s symmetrical architecture (all nodes are the same) and simple installation makes it easy to deploy and operate very large clusters.</p>
+ <p>We made it easy to download and run Drill on your laptop. It runs on Mac, Windows and Linux, and within a minute or two you'll be exploring your data. When you're ready for prime time, deploy Drill on a cluster of commodity servers and take advantage of the world's most scalable and high performance execution engine.
+ <p>Drill's symmetrical architecture (all nodes are the same) and simple installation make it easy to deploy and operate very large clusters.</p>
</div>
- <div class="small"><pre>$ curl j.mp/drill-1-0-0-rc1 -o drill.tgz
+ <div class="small"><pre>$ curl <url> -o drill.tgz
$ tar xzf drill.tgz
- $ cd apache-drill-1.0.0
- $ bin/drill-embedded
- </pre></div>
+ $ cd apache-drill-<version>
+ $ bin/drill-embedded</pre></div>
</div>
<div class="home-row">
<div class="description">
<h1>No more waiting for coffee</h1>
- <p>Drill isn’t the world’s first query engine, but it’s the first that combines both flexibility and speed. To achieve this, Drill features a radically different architecture that enables record-breaking performance without sacrificing the flexibility offered by the JSON document model. For example:<ul>
+ <p>Drill isn't the world's first query engine, but it's the first that combines both flexibility and speed. To achieve this, Drill features a radically different architecture that enables record-breaking performance without sacrificing the flexibility offered by the JSON document model. Drill's design includes:<ul>
<li>Columnar execution engine (the first ever to support complex data!)</li>
<li>Data-driven compilation and recompilation at execution time</li>
<li>Specialized memory management that reduces memory footprint and eliminates garbage collections</li>
@@ -159,4 +157,3 @@ $ bin/drill-embedded
</div>
<div class="small big"><img src="{{ site.baseurl }}/images/home-coffee.jpg" style="width:300px" /></div>
</div>
-