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- <li class="toctree-l2"><a class="reference internal" href="/docs/monitoring-and-canceling-queries-in-the-drill-web-console/">Monitoring and Canceling Queries in the Drill Web Console</a></li>
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- </ul>
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- <li class="toctree-l3"><a class="reference internal" href="/docs/handling-different-data-types/">Handling Different Data Types</a></li>
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- <li class="toctree-l3"><a class="reference internal" href="/docs/value-window-functions/">Value Window Functions</a></li>
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- <li class="toctree-l3"><a class="reference internal" href="/docs/sql-window-functions-examples/">SQL Window Functions Examples</a></li>
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- <li class="toctree-l3"><a class="reference internal" href="/docs/offset-clause/">OFFSET Clause</a></li>
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-
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-value from your data in just a few minutes.</p>
-
-<p>Let\u2019s quickly walk through the steps required to install Drill and run it
-against the Yelp data set. The publicly available data set used for this
-example is downloadable from <a href="http://www.yelp.com/dataset_challenge">Yelp</a>
-(business reviews) and is in JSON format.</p>
-
-<hr>
-
-<h2 id="installing-and-starting-drill">Installing and Starting Drill</h2>
-
-<h3 id="download-apache-drill-onto-your-local-machine">Download Apache Drill onto your local machine</h3>
-
-<p>To experiment with Drill locally, follow the installation instructions in <a href="/docs/drill-in-10-minutes/">Drill in 10 Minutes</a>.</p>
-
-<p>Alternatively, you can <a href="/docs/installing-drill-in-distributed-mode">install Drill in distributed mode</a> if you
-want to scale your environment.</p>
-
-<p>Let\u2019s try out some SQL examples to understand how Drill makes the raw data
-analysis extremely easy.</p>
-
-<div class="admonition note">
- <p class="first admonition-title">Note</p>
- <p class="last">You need to substitute your local path to the Yelp data set in the angle-bracketed portion of the FROM clause of each query you run. </p>
-</div>
-
-<hr>
-
-<h2 id="querying-data-with-drill">Querying Data with Drill</h2>
-
-<h3 id="1.-view-the-contents-of-the-yelp-business-data">1. View the contents of the Yelp business data</h3>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> !set maxwidth 10000
-
-0: jdbc:drill:zk=local> select * from
- dfs.`<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json`
- limit 1;
-
-+------------------------+----------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------+--------------------------------+---------+--------------+-------------------+-------------+-------+-------+-----------+--------------------------------------------------------------------------------------------------------------------------------------------------------------+----------+---------------+
-| business_id | full_address | hours | open | categories | city | review_count | name | longitude | state | stars | latitude | attributes | type | neighborhoods |
-+------------------------+----------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------+--------------------------------+---------+--------------+-------------------+-------------+-------+-------+-----------+--------------------------------------------------------------------------------------------------------------------------------------------------------------+----------+---------------+
-| vcNAWiLM4dR7D2nwwJ7nCA | 4840 E Indian School Rd Ste 101, Phoenix, AZ 85018 | fill in{"Tuesday":{"close":"17:00","open":"08:00"},"Friday":{"close":"17:00","open":"08:00"},"Monday":{"close":"17:00","open":"08:00"},"Wednesday":{"close":"17:00","open":"08:00"},"Thursday":{"close":"17:00","open":"08:00"},"Sunday":{},"Saturday":{}} | true | ["Doctors","Health & Medical"] | Phoenix | 7 | Eric Goldberg, MD | -111.983758 | AZ | 3.5 | 33.499313 | {"By Appointment Only":true,"Good For":{},"Ambience":{},"Parking":{},"Music":{},"Hair Types Specialized In":{},"Payment Types":{},"Dietary Restrictions":{}} | busi
ness | [] |
-+------------------------+----------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+------+--------------------------------+---------+--------------+-------------------+-------------+-------+-------+-----------+--------------------------------------------------------------------------------------------------------------------------------------------------------------+----------+---------------+
-</code></pre></div>
-<div class="admonition note">
- <p class="first admonition-title">Note</p>
- <p class="last">This document aligns Drill output for example purposes. Drill output is not aligned in this case. </p>
-</div>
-
-<p>You can directly query self-describing files such as JSON, Parquet, and text. There is no need to create metadata definitions in the Hive metastore.</p>
-
-<h3 id="2.-explore-the-business-data-set-further">2. Explore the business data set further</h3>
-
-<h4 id="total-reviews-in-the-data-set">Total reviews in the data set</h4>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> select sum(review_count) as totalreviews
-from dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json`;
-
-+--------------+
-| totalreviews |
-+--------------+
-| 1236445 |
-+--------------+
-</code></pre></div>
-<h4 id="top-states-and-cities-in-total-number-of-reviews">Top states and cities in total number of reviews</h4>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> select state, city, count(*) totalreviews
-from dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json`
-group by state, city order by count(*) desc limit 10;
-
-+------------+------------+--------------+
-| state | city | totalreviews |
-+------------+------------+--------------+
-| NV | Las Vegas | 12021 |
-| AZ | Phoenix | 7499 |
-| AZ | Scottsdale | 3605 |
-| EDH | Edinburgh | 2804 |
-| AZ | Mesa | 2041 |
-| AZ | Tempe | 2025 |
-| NV | Henderson | 1914 |
-| AZ | Chandler | 1637 |
-| WI | Madison | 1630 |
-| AZ | Glendale | 1196 |
-+------------+------------+--------------+
-</code></pre></div>
-<h4 id="average-number-of-reviews-per-business-star-rating">Average number of reviews per business star rating</h4>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> select stars,trunc(avg(review_count)) reviewsavg
-from dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json`
-group by stars order by stars desc;
-
-+------------+------------+
-| stars | reviewsavg |
-+------------+------------+
-| 5.0 | 8.0 |
-| 4.5 | 28.0 |
-| 4.0 | 48.0 |
-| 3.5 | 35.0 |
-| 3.0 | 26.0 |
-| 2.5 | 16.0 |
-| 2.0 | 11.0 |
-| 1.5 | 9.0 |
-| 1.0 | 4.0 |
-+------------+------------+
-</code></pre></div>
-<h4 id="top-businesses-with-high-review-counts-(>-1000)">Top businesses with high review counts (> 1000)</h4>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> select name, state, city, `review_count` from
-dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json`
-where review_count > 1000 order by `review_count` desc limit 10;
-
-+-------------------------------+-------------+------------+---------------+
-| name | state | city | review_count |
-+-------------------------------+-------------+------------+---------------+
-| Mon Ami Gabi | NV | Las Vegas | 4084 |
-| Earl of Sandwich | NV | Las Vegas | 3655 |
-| Wicked Spoon | NV | Las Vegas | 3408 |
-| The Buffet | NV | Las Vegas | 2791 |
-| Serendipity 3 | NV | Las Vegas | 2682 |
-| Bouchon | NV | Las Vegas | 2419 |
-| The Buffet at Bellagio | NV | Las Vegas | 2404 |
-| Bacchanal Buffet | NV | Las Vegas | 2369 |
-| The Cosmopolitan of Las Vegas | NV | Las Vegas | 2253 |
-| Aria Hotel & Casino | NV | Las Vegas | 2224 |
-+-------------------------------+-------------+----------------------------+
-</code></pre></div>
-<h4 id="saturday-open-and-close-times-for-a-few-businesses">Saturday open and close times for a few businesses</h4>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> select b.name, b.hours.Saturday.`open`,
-b.hours.Saturday.`close`
-from
-dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json`
-b limit 10;
-
-+----------------------------+------------+------------+
-| name | EXPR$1 | EXPR$2 |
-+----------------------------+------------+------------+
-| Eric Goldberg, MD | 08:00 | 17:00 |
-| Pine Cone Restaurant | null | null |
-| Deforest Family Restaurant | 06:00 | 22:00 |
-| Culver's | 10:30 | 22:00 |
-| Chang Jiang Chinese Kitchen| 11:00 | 22:00 |
-| Charter Communications | null | null |
-| Air Quality Systems | null | null |
-| McFarland Public Library | 09:00 | 20:00 |
-| Green Lantern Restaurant | 06:00 | 02:00 |
-| Spartan Animal Hospital | 07:30 | 18:00 |
-+----------------------------+------------+------------+
-</code></pre></div>
-<p>Note how Drill can traverse and refer through multiple levels of nesting.</p>
-
-<h3 id="3.-get-the-amenities-of-each-business-in-the-data-set">3. Get the amenities of each business in the data set</h3>
-
-<p>Note that the attributes column in the Yelp business data set has a different
-element for every row, representing that businesses can have separate
-amenities. Drill makes it easy to quickly access data sets with changing
-schemas.</p>
-
-<p>First, change Drill to work in all text mode (so we can take a look at all of
-the data).</p>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> alter system set `store.json.all_text_mode` = true;
-+------------+-----------------------------------+
-| ok | summary |
-+------------+-----------------------------------+
-| true | store.json.all_text_mode updated. |
-+------------+-----------------------------------+
-</code></pre></div>
-<p>Then, query the attribute\u2019s data.</p>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> select attributes from dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json` limit 10;
-
-+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-| attributes |
-+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-| {"By Appointment Only":"true","Good For":{},"Ambience":{},"Parking":{},"Music":{},"Hair Types Specialized In":{},"Payment Types":{},"Dietary Restrictions":{}} |
-| {"Take-out":"true","Good For":{"dessert":"false","latenight":"false","lunch":"true","dinner":"false","breakfast":"false","brunch":"false"},"Caters":"false","Noise Level":"averag |
-| {"Take-out":"true","Good For":{"dessert":"false","latenight":"false","lunch":"false","dinner":"false","breakfast":"false","brunch":"true"},"Caters":"false","Noise Level":"quiet" |
-| {"Take-out":"true","Good For":{},"Takes Reservations":"false","Delivery":"false","Ambience":{},"Parking":{"garage":"false","street":"false","validated":"false","lot":"true","val |
-| {"Take-out":"true","Good For":{},"Ambience":{},"Parking":{},"Has TV":"false","Outdoor Seating":"false","Attire":"casual","Music":{},"Hair Types Specialized In":{},"Payment Types |
-| {"Good For":{},"Ambience":{},"Parking":{},"Music":{},"Hair Types Specialized In":{},"Payment Types":{},"Dietary Restrictions":{}} |
-| {"Good For":{},"Ambience":{},"Parking":{},"Music":{},"Hair Types Specialized In":{},"Payment Types":{},"Dietary Restrictions":{}} |
-| {"Good For":{},"Ambience":{},"Parking":{},"Wi-Fi":"free","Music":{},"Hair Types Specialized In":{},"Payment Types":{},"Dietary Restrictions":{}} |
-| {"Take-out":"true","Good For":{"dessert":"false","latenight":"false","lunch":"false","dinner":"true","breakfast":"false","brunch":"false"},"Noise Level":"average" |
-| {"Good For":{},"Ambience":{},"Parking":{},"Music":{},"Hair Types Specialized In":{},"Payment Types":{},"Dietary Restrictions":{}} |
-+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-</code></pre></div>
-<div class="admonition note">
- <p class="first admonition-title">Note</p>
- <p class="last">This document aligns Drill output for example purposes. Drill output is not aligned in this case. </p>
-</div>
-
-<p>Turn off the all text mode so we can continue to perform arithmetic operations
-on data.</p>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> alter system set `store.json.all_text_mode` = false;
-+-------+------------------------------------+
-| ok | summary |
-+-------+------------------------------------+
-| true | store.json.all_text_mode updated. |
-+-------+------------------------------------+
-</code></pre></div>
-<h3 id="4.-explore-the-restaurant-businesses-in-the-data-set">4. Explore the restaurant businesses in the data set</h3>
-
-<h4 id="number-of-restaurants-in-the-data-set">Number of restaurants in the data set</h4>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> select count(*) as TotalRestaurants from dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json` where true=repeated_contains(categories,'Restaurants');
-+------------------+
-| TotalRestaurants |
-+------------------+
-| 14303 |
-+------------------+
-</code></pre></div>
-<h4 id="top-restaurants-in-number-of-reviews">Top restaurants in number of reviews</h4>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> select name,state,city,`review_count` from dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json` where true=repeated_contains(categories,'Restaurants') order by `review_count` desc limit 10;
-
-+------------------------+-------+-----------+--------------+
-| name | state | city | review_count |
-+------------------------+-------+-----------+--------------+
-| Mon Ami Gabi | NV | Las Vegas | 4084 |
-| Earl of Sandwich | NV | Las Vegas | 3655 |
-| Wicked Spoon | NV | Las Vegas | 3408 |
-| The Buffet | NV | Las Vegas | 2791 |
-| Serendipity 3 | NV | Las Vegas | 2682 |
-| Bouchon | NV | Las Vegas | 2419 |
-| The Buffet at Bellagio | NV | Las Vegas | 2404 |
-| Bacchanal Buffet | NV | Las Vegas | 2369 |
-| Hash House A Go Go | NV | Las Vegas | 2201 |
-| Mesa Grill | NV | Las Vegas | 2004 |
-+------------------------+-------+-----------+--------------+
-</code></pre></div>
-<h4 id="top-restaurants-in-number-of-listed-categories">Top restaurants in number of listed categories</h4>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> select name,repeated_count(categories) as categorycount, categories from dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json` where true=repeated_contains(categories,'Restaurants') order by repeated_count(categories) desc limit 10;
-
-+---------------------------------+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------+
-| name | categorycount | categories |
-+---------------------------------+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------+
-| Binion's Hotel & Casino | 10 | ["Arts &,Entertainment","Restaurants","Bars","Casinos","Event,Planning &,Services","Lounges","Nightlife","Hotels &,Travel","American] |
-| Stage Deli | 10 | ["Arts &,Entertainment","Food","Hotels","Desserts","Delis","Casinos","Sandwiches","Hotels,& Travel","Restaurants","Event Planning &,Services"] |
-| Jillian's | 9 | ["Arts &,Entertainment","American (Traditional)","Music,Venues","Bars","Dance,Clubs","Nightlife","Bowling","Active,Life","Restaurants"] |
-| Hotel Chocolat | 9 | ["Coffee &,Tea","Food","Cafes","Chocolatiers &,Shops","Specialty Food","Event Planning &,Services","Hotels & Travel","Hotels","Restaurants"] |
-| Hotel du Vin & Bistro Edinburgh | 9 | ["Modern,European","Bars","French","Wine,Bars","Event Planning &,Services","Nightlife","Hotels &,Travel","Hotels","Restaurants"] |
-| Elixir | 9 | ["Arts &,Entertainment","American (Traditional)","Music,Venues","Bars","Cocktail,Bars","Nightlife","American (New)","Local,Flavor","Restaurants"] |
-| Tocasierra Spa and Fitness | 8 | ["Beauty &,Spas","Gyms","Medical Spas","Health &,Medical","Fitness & Instruction","Active,Life","Day Spas","Restaurants"] |
-| Costa Del Sol At Sunset Station | 8 | ["Steakhouses","Mexican","Seafood","Event,Planning & Services","Hotels &,Travel","Italian","Restaurants","Hotels"] |
-| Scottsdale Silverado Golf Club | 8 | ["Fashion","Shopping","Sporting,Goods","Active Life","Golf","American,(New)","Sports Wear","Restaurants"] |
-| House of Blues | 8 | ["Arts & Entertainment","Music Venues","Restaurants","Hotels","Event Planning & Services","Hotels & Travel","American (New)","Nightlife"] |
-+---------------------------------+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------+
-</code></pre></div>
-<div class="admonition note">
- <p class="first admonition-title">Note</p>
- <p class="last">This document aligns Drill output for example purposes. Drill output is not aligned in this case. </p>
-</div>
-
-<h4 id="top-first-categories-in-number-of-review-counts">Top first categories in number of review counts</h4>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> select categories[0], count(categories[0]) as categorycount
-from dfs.`/<path-to-yelp-dataset>/yelp_academic_dataset_business.json`
-group by categories[0]
-order by count(categories[0]) desc limit 10;
-
-+----------------------+---------------+
-| EXPR$0 | categorycount |
-+----------------------+---------------+
-| Food | 4294 |
-| Shopping | 1885 |
-| Active Life | 1676 |
-| Bars | 1366 |
-| Local Services | 1351 |
-| Mexican | 1284 |
-| Hotels & Travel | 1283 |
-| Fast Food | 963 |
-| Arts & Entertainment | 906 |
-| Hair Salons | 901 |
-+----------------------+---------------+
-</code></pre></div>
-<h3 id="5.-explore-the-yelp-reviews-dataset-and-combine-with-the-businesses.">5. Explore the Yelp reviews dataset and combine with the businesses.</h3>
-
-<h4 id="take-a-look-at-the-contents-of-the-yelp-reviews-dataset.">Take a look at the contents of the Yelp reviews dataset.</h4>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> select *
-from dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_review.json` limit 1;
-+---------------------------------+------------------------+------------------------+-------+------------+----------------------------------------------------------------------+--------+------------------------+
-| votes | user_id | review_id | stars | date | text | type | business_id |
-+---------------------------------+------------------------+------------------------+-------+------------+----------------------------------------------------------------------+--------+------------------------+
-| {"funny":0,"useful":2,"cool":1} | Xqd0DzHaiyRqVH3WRG7hzg | 15SdjuK7DmYqUAj6rjGowg | 5 | 2007-05-17 | dr. goldberg offers everything i look for in a general practitioner. | review | vcNAWiLM4dR7D2nwwJ7nCA |
-+---------------------------------+------------------------+------------------------+-------+------------+----------------------------------------------------------------------+--------+------------------------+
-</code></pre></div>
-<h4 id="top-businesses-with-cool-rated-reviews">Top businesses with cool rated reviews</h4>
-
-<p>Note that we are combining the Yelp business data set that has the overall
-review_count to the Yelp review data, which holds additional details on each
-of the reviews themselves.</p>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> Select b.name
-from dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json` b
-where b.business_id in (SELECT r.business_id
-FROM dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_review.json` r
-GROUP BY r.business_id having sum(r.votes.cool) > 2000
-order by sum(r.votes.cool) desc);
-+-------------------------------+
-| name |
-+-------------------------------+
-| Earl of Sandwich |
-| XS Nightclub |
-| The Cosmopolitan of Las Vegas |
-| Wicked Spoon |
-+-------------------------------+
-</code></pre></div>
-<h4 id="create-a-view-with-the-combined-business-and-reviews-data-sets">Create a view with the combined business and reviews data sets</h4>
-
-<p>Note that Drill views are lightweight, and can just be created in the local
-file system. Drill in standalone mode comes with a dfs.tmp workspace, which we
-can use to create views (or you can can define your own workspaces on a local
-or distributed file system). If you want to persist the data physically
-instead of in a logical view, you can use CREATE TABLE AS syntax.</p>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> create or replace view dfs.tmp.businessreviews as
-Select b.name,b.stars,b.state,b.city,r.votes.funny,r.votes.useful,r.votes.cool, r.`date`
-from dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json` b, dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_review.json` r
-where r.business_id=b.business_id
-+------------+-----------------------------------------------------------------+
-| ok | summary |
-+------------+-----------------------------------------------------------------+
-| true | View 'businessreviews' created successfully in 'dfs.tmp' schema |
-+------------+-----------------------------------------------------------------+
-</code></pre></div>
-<p>Let\u2019s get the total number of records from the view.</p>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> select count(*) as Total from dfs.tmp.businessreviews;
-+------------+
-| Total |
-+------------+
-| 1125458 |
-+------------+
-</code></pre></div>
-<p>In addition to these queries, you can get many deep insights using
-Drill\u2019s <a href="/docs/sql-reference">SQL functionality</a>. If you are not comfortable with writing queries manually, you
-can use a BI/Analytics tools such as Tableau/MicroStrategy to query raw
-files/Hive/HBase data or Drill-created views directly using Drill <a href="/docs/odbc-jdbc-interfaces">ODBC/JDBC
-drivers</a>.</p>
-
-<p>The goal of Apache Drill is to provide the freedom and flexibility in
-exploring data in ways we have never seen before with SQL technologies. The
-community is working on more exciting features around nested data and
-supporting data with changing schemas in upcoming releases.</p>
-
-<p>The FLATTEN function can be used to dynamically rationalize semi-structured
-data so you can apply even deeper SQL functionality. Here is a sample query:</p>
-
-<h4 id="get-a-flattened-list-of-categories-for-each-business">Get a flattened list of categories for each business</h4>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> select name, flatten(categories) as category
-from dfs.`/<path-to-yelp-dataset>/yelp/yelp_academic_dataset_business.json` limit 20;
-+-----------------------------+---------------------------------+
-| name | category |
-+-----------------------------+---------------------------------+
-| Eric Goldberg, MD | Doctors |
-| Eric Goldberg, MD | Health & Medical |
-| Pine Cone Restaurant | Restaurants |
-| Deforest Family Restaurant | American (Traditional) |
-| Deforest Family Restaurant | Restaurants |
-| Culver's | Food |
-| Culver's | Ice Cream & Frozen Yogurt |
-| Culver's | Fast Food |
-| Culver's | Restaurants |
-| Chang Jiang Chinese Kitchen | Chinese |
-| Chang Jiang Chinese Kitchen | Restaurants |
-| Charter Communications | Television Stations |
-| Charter Communications | Mass Media |
-| Air Quality Systems | Home Services |
-| Air Quality Systems | Heating & Air Conditioning/HVAC |
-| McFarland Public Library | Libraries |
-| McFarland Public Library | Public Services & Government |
-| Green Lantern Restaurant | American (Traditional) |
-| Green Lantern Restaurant | Restaurants |
-| Spartan Animal Hospital | Veterinarians |
-+-----------------------------+---------------------------------+
-</code></pre></div>
-<h4 id="top-categories-used-in-business-reviews">Top categories used in business reviews</h4>
-<div class="highlight"><pre><code class="language-text" data-lang="text">0: jdbc:drill:zk=local> select celltbl.catl, count(celltbl.catl) categorycnt
-from (select flatten(categories) catl from dfs.`/yelp_academic_dataset_business.json` ) celltbl
-group by celltbl.catl
-order by count(celltbl.catl) desc limit 10 ;
-+------------------+-------------+
-| catl | categorycnt |
-+------------------+-------------+
-| Restaurants | 14303 |
-| Shopping | 6428 |
-| Food | 5209 |
-| Beauty & Spas | 3421 |
-| Nightlife | 2870 |
-| Bars | 2378 |
-| Health & Medical | 2351 |
-| Automotive | 2241 |
-| Home Services | 1957 |
-| Fashion | 1897 |
-+------------------+-------------+
-</code></pre></div>
-<p>Stay tuned for more features and upcoming activities in the Drill community.</p>
-
-<p>To learn more about Drill, please refer to the following resources:</p>
-
-<ul>
-<li>Download Drill here: <a href="http://getdrill.org/drill/download">http://getdrill.org/drill/download</a></li>
-<li><a href="/docs/why-drill">10 reasons we think Drill is cool</a></li>
-<li><a href="/docs/drill-in-10-minutes">A simple 10-minute tutorial</a></li>
-<li><a href="/docs/tutorials-introduction/">More tutorials</a></li>
-</ul>
-
-
-
- <div class="doc-nav">
-
- <span class="previous-toc"><a href="/docs/drill-in-10-minutes/">\u2190 Drill in 10 Minutes</a></span><span class="next-toc"><a href="/docs/learn-drill-with-the-mapr-sandbox/">Learn Drill with the MapR Sandbox \u2192</a></span>
-</div>
-
-
- </div>
- </div>
-</div>
-
- </div>
- <p class="push"></p>
-<div id="footer" class="mw">
-<div class="wrapper">
-Copyright � 2012-2014 The Apache Software Foundation, licensed under the Apache License, Version 2.0.<br>
-Apache and the Apache feather logo are trademarks of The Apache Software Foundation. Other names appearing on the site may be trademarks of their respective owners.<br/><br/>
-</div>
-</div>
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