Amazon customer reviews dataset
This dataset contains over 150M customer reviews of Amazon products. The data is in snappy-compressed Parquet files in AWS S3 that total 49GB in size (compressed). Let's walk through the steps to insert it into ClickHouse.
Note
The queries below were executed on a Production instance of ClickHouse Cloud.
- Without inserting the data into ClickHouse, we can query it in place. Let's grab some rows, so we can see what they look like:
SELECT *
FROM s3('https://datasets-documentation.s3.eu-west-3.amazonaws.com/amazon_reviews/amazon_reviews_2015.snappy.parquet')
LIMIT 10
The rows look like:
┌─review_date─┬─marketplace─┬─customer_id─┬─review_id──────┬─product_id─┬─product_parent─┬─product_title────────────────────────────────────────────────┬─product_category───────┬─star_rating─┬─helpful_votes─┬─total_votes─┬─vine──┬─verified_purchase─┬─review_headline─────────────────────────────────────────────────────────────┬─review_body────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ 16452 │ US │ 21080196 │ R17NMVYCQXEEFW │ B00RSI5DJA │ 904397429 │ Pilot │ Digital_Video_Download │ 5 │ 0 │ 0 │ false │ false │ yes indeed │ OMG- i totally see myself get hook on that show if it happen- love it │
│ 16452 │ US │ 44158214 │ R3MAPJVO9D0ERG │ B00RSI61PU │ 475013967 │ Salem Rogers: Model of the Year 1998 │ Digital_Video_Download │ 5 │ 0 │ 0 │ false │ false │ Halarious show!! │ Loved this pilot episode!! Please pick this up Amazon!!! │
│ 16452 │ US │ 1944630 │ R1Q5YPRE84OVB6 │ B009IU6BIS │ 101502671 │ National Lampoon's Christmas Vacation │ Digital_Video_Download │ 5 │ 0 │ 0 │ false │ false │ Classic! │ This is a holiday classic. How can you not love it! │
│ 16452 │ US │ 49029010 │ RGDK35TBJJ2ZI │ B00RSI68V2 │ 639602030 │ Table 58 │ Digital_Video_Download │ 5 │ 2 │ 3 │ false │ false │ Fun for the whole family!! │ This show is fun! Our family really enjoyed watching the show. I can see this being one of the shows that we watch on Friday nights with our pizza and ice cream. I hope to see more of the show and the great cast of characters. │
│ 16452 │ US │ 52257958 │ R1R2SEOJT8M14Y │ B00RSGIMUE │ 196368495 │ Niko and the Sword of Light │ Digital_Video_Download │ 5 │ 1 │ 2 │ false │ false │ it's a new kind of avatar. great show. make more. │ My 7 year old son and my husband both loved it! It's like avatar the last air bender but with different magical powers. The characters are adorably well developed. The story is interesting. We hope amazon makes the whole season. We can't wait to see more! │
│ 16452 │ US │ 26927978 │ RN0JCPQ6Z4FUB │ B009ITL7UG │ 497741324 │ Lord of the Rings: The Return of the King (Extended Edition) │ Digital_Video_Download │ 5 │ 0 │ 0 │ false │ true │ Definite must-own for any Tolkien buff who has not yet upgraded to Blu-Ray! │ If you liked the theatrical release and are a fan of Middle-Earth then you should get this. │
│ 16452 │ US │ 19626887 │ R15LDVOU1S1DFB │ B00RSGHGB0 │ 576999592 │ Just Add Magic - Season 1 │ Digital_Video_Download │ 5 │ 1 │ 1 │ false │ false │ Great story! So good even my teenage boys said ... │ Great story! So good even my teenage boys said this is actually pretty good!!! Can't wait for the next episode. │
│ 16452 │ US │ 1439383 │ R2DJVLZM1MVFQH │ B002WEQJ3E │ 733651019 │ Six: The Mark Unleashed │ Digital_Video_Download │ 1 │ 0 │ 4 │ false │ false │ I am now less intelligent for having watched an entire 10 minutes of it │ I am now less intelligent for having watched an entire 10 minutes of it. God save my sole as I now must kick out the chair from which I am standing on so that the noose may do its job. Watch the movie at your own risk. The screen will suck your brain cells out of your body. │
│ 16452 │ US │ 46233181 │ R33W2NB9MCRUFV │ B00RSGFYQE │ 464741068 │ Point of Honor │ Digital_Video_Download │ 4 │ 0 │ 0 │ false │ false │ Give it a chance. │ Pilots are just what they are...pilots. A chance to see what works and what doesn't and a chance to smooth out the wrinkles. Point of Honor at least stands a fair chance. │
│ 16452 │ US │ 19537300 │ R2WGJYESHID0ZF │ B00RSGHQJM │ 374287214 │ Down Dog │ Digital_Video_Download │ 5 │ 1 │ 1 │ false │ false │ Five Stars │ great fun │
└─────────────┴─────────────┴─────────────┴────────────────┴────────────┴────────────────┴──────────────────────────────────────────────────────────────┴────────────────────────┴─────────────┴───────────────┴─────────────┴───────┴───────────────────┴─────────────────────────────────────────────────────────────────────────────┴────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
- Let's define a new
MergeTreetable namedamazon_reviewsto store this data in ClickHouse:
CREATE TABLE amazon_reviews
(
review_date Date,
marketplace LowCardinality(String),
customer_id UInt64,
review_id String,
product_id String,
product_parent UInt64,
product_title String,
product_category LowCardinality(String),
star_rating UInt8,
helpful_votes UInt32,
total_votes UInt32,
vine Bool,
verified_purchase Bool,
review_headline String,
review_body String
)
ENGINE = MergeTree
ORDER BY (review_date, product_category);
- The following
INSERTcommand uses thes3Clustertable function, which allows the processing of multiple S3 files in parallel using all the nodes of your cluster. We also use a wildcard to insert any file that starts with the namehttps://datasets-documentation.s3.eu-west-3.amazonaws.com/amazon_reviews/amazon_reviews_*.snappy.parquet:
INSERT INTO amazon_reviews
SELECT
*
FROM s3Cluster(
'default',
'https://datasets-documentation.s3.eu-west-3.amazonaws.com/amazon_reviews/amazon_reviews_*.snappy.parquet'
);
Tip
In ClickHouse Cloud, the name of the cluster is default. Change default to the name of your cluster...or use the s3 table function (instead of s3Cluster) if you do not have a cluster.
- That query doesn't take long - averaging about 300,000 rows per second. within 5 minutes or so you should see all the rows inserted:
SELECT formatReadableQuantity(count())
FROM amazon_reviews;
┌─formatReadableQuantity(count())─┐
│ 150.96 million │
└─────────────────────────────────┘
1 row in set. Elapsed: 0.005 sec.
- Let's see how much space our data is using:
SELECT
disk_name,
formatReadableSize(sum(data_compressed_bytes) AS size) AS compressed,
formatReadableSize(sum(data_uncompressed_bytes) AS usize) AS uncompressed,
round(usize / size, 2) AS compr_rate,
sum(rows) AS rows,
count() AS part_count
FROM system.parts
WHERE (active = 1) AND (table = 'amazon_reviews')
GROUP BY disk_name
ORDER BY size DESC;
The original data was about 70G, but compressed in ClickHouse it takes up about 30G:
┌─disk_name─┬─compressed─┬─uncompressed─┬─compr_rate─┬──────rows─┬─part_count─┐
│ s3disk │ 30.05 GiB │ 70.47 GiB │ 2.35 │ 150957260 │ 14 │
└───────────┴────────────┴──────────────┴────────────┴───────────┴────────────┘
- Let's run some queries...here are the top 10 most-helpful reviews in the dataset:
SELECT
product_title,
review_headline
FROM amazon_reviews
ORDER BY helpful_votes DESC
LIMIT 10;
Notice the query has to process all 151M rows, but takes less than one second!
┌─product_title────────────────────────────────────────────────────────────────────────────┬─review_headline───────────────────────────────────────────────────────┐
│ Kindle: Amazon's Original Wireless Reading Device (1st generation) │ Why and how the Kindle changes everything │
│ BIC Cristal For Her Ball Pen, 1.0mm, Black, 16ct (MSLP16-Blk) │ FINALLY! │
│ The Mountain Kids 100% Cotton Three Wolf Moon T-Shirt │ Dual Function Design │
│ Kindle Keyboard 3G, Free 3G + Wi-Fi, 6" E Ink Display │ Kindle vs. Nook (updated) │
│ Kindle Fire HD 7", Dolby Audio, Dual-Band Wi-Fi │ You Get What You Pay For │
│ Kindle Fire (Previous Generation - 1st) │ A great device WHEN you consider price and function, with a few flaws │
│ Fifty Shades of Grey: Book One of the Fifty Shades Trilogy (Fifty Shades of Grey Series) │ Did a teenager write this??? │
│ Wheelmate Laptop Steering Wheel Desk │ Perfect for an Starfleet Helmsman │
│ Kindle Wireless Reading Device (6" Display, U.S. Wireless) │ BEWARE of the SIGNIFICANT DIFFERENCES between Kindle 1 and Kindle 2! │
│ Tuscan Dairy Whole Vitamin D Milk, Gallon, 128 oz │ Make this your only stock and store │
└──────────────────────────────────────────────────────────────────────────────────────────┴───────────────────────────────────────────────────────────────────────┘
10 rows in set. Elapsed: 0.897 sec. Processed 150.96 million rows, 15.36 GB (168.36 million rows/s., 17.13 GB/s.)
- Here are the top 10 products in Amazon with the most reviews:
SELECT
any(product_title),
count()
FROM amazon_reviews
GROUP BY product_id
ORDER BY 2 DESC
LIMIT 10;
┌─any(product_title)────────────────────────────┬─count()─┐
│ Candy Crush Saga │ 50051 │
│ The Secret Society® - Hidden Mystery │ 41255 │
│ Google Chromecast HDMI Streaming Media Player │ 35977 │
│ Minecraft │ 35129 │
│ Bosch Season 1 │ 33610 │
│ Gone Girl: A Novel │ 33240 │
│ Subway Surfers │ 32328 │
│ The Fault in Our Stars │ 30149 │
│ Amazon.com eGift Cards │ 28879 │
│ Crossy Road │ 28111 │
└───────────────────────────────────────────────┴─────────┘
10 rows in set. Elapsed: 20.059 sec. Processed 150.96 million rows, 12.78 GB (7.53 million rows/s., 637.25 MB/s.)
- Here are the average review ratings per month for each product (an actual Amazon job interview question!):
SELECT
toStartOfMonth(review_date) AS month,
any(product_title),
avg(star_rating) AS avg_stars
FROM amazon_reviews
GROUP BY
month,
product_id
ORDER BY
month DESC,
product_id ASC
LIMIT 20;
It calculates all the monthly averages for each product, but we only returned 20 rows:
┌──────month─┬─any(product_title)──────────────────────────────────────────────────────────────────────┬─avg_stars─┐
│ 2015-08-01 │ Mystiqueshapes Girls Ballet Tutu Neon Lime Green │ 4 │
│ 2015-08-01 │ Adult Ballet Tutu Yellow │ 5 │
│ 2015-08-01 │ The Way Things Work: An Illustrated Encyclopedia of Technology │ 5 │
│ 2015-08-01 │ Hilda Boswell's Treasury of Poetry │ 5 │
│ 2015-08-01 │ Treasury of Poetry │ 5 │
│ 2015-08-01 │ Uncle Remus Stories │ 5 │
│ 2015-08-01 │ The Book of Daniel │ 5 │
│ 2015-08-01 │ Berenstains' B Book │ 5 │
│ 2015-08-01 │ The High Hills (Brambly Hedge) │ 4.5 │
│ 2015-08-01 │ Fuzzypeg Goes to School (The Little Grey Rabbit library) │ 5 │
│ 2015-08-01 │ Dictionary in French: The Cat in the Hat (Beginner Series) │ 5 │
│ 2015-08-01 │ Windfallen │ 5 │
│ 2015-08-01 │ The Monk Who Sold His Ferrari: A Remarkable Story About Living Your Dreams │ 5 │
│ 2015-08-01 │ Illustrissimi: The Letters of Pope John Paul I │ 5 │
│ 2015-08-01 │ Social Contract: A Personal Inquiry into the Evolutionary Sources of Order and Disorder │ 5 │
│ 2015-08-01 │ Mexico The Beautiful Cookbook: Authentic Recipes from the Regions of Mexico │ 4.5 │
│ 2015-08-01 │ Alanbrooke │ 5 │
│ 2015-08-01 │ Back to Cape Horn │ 4 │
│ 2015-08-01 │ Ovett: An Autobiography (Willow books) │ 5 │
│ 2015-08-01 │ The Birds of West Africa (Collins Field Guides) │ 4 │
└────────────┴─────────────────────────────────────────────────────────────────────────────────────────┴───────────┘
20 rows in set. Elapsed: 43.055 sec. Processed 150.96 million rows, 13.24 GB (3.51 million rows/s., 307.41 MB/s.)
Peak memory usage: 41.73 GiB.
- Here are the total number of votes per product category. This query is fast because
product_categoryis in the primary key:
SELECT
sum(total_votes),
product_category
FROM amazon_reviews
GROUP BY product_category
ORDER BY 1 DESC
FORMAT PrettyCompactMonoBlock;
┌─sum(total_votes)─┬─product_category─────────┐
│ 103877874 │ Books │
│ 25330411 │ Digital_Ebook_Purchase │
│ 23065953 │ Video DVD │
│ 18048069 │ Music │
│ 17292294 │ Mobile_Apps │
│ 15977124 │ Health & Personal Care │
│ 13554090 │ PC │
│ 13065746 │ Kitchen │
│ 12537926 │ Home │
│ 11067538 │ Beauty │
│ 10418643 │ Wireless │
│ 9089085 │ Toys │
│ 9071484 │ Sports │
│ 7335647 │ Electronics │
│ 6885504 │ Apparel │
│ 6710085 │ Video Games │
│ 6556319 │ Camera │
│ 6305478 │ Lawn and Garden │
│ 5954422 │ Office Products │
│ 5339437 │ Home Improvement │
│ 5284343 │ Outdoors │
│ 5125199 │ Pet Products │
│ 4733251 │ Grocery │
│ 4697750 │ Shoes │
│ 4666487 │ Automotive │
│ 4361518 │ Digital_Video_Download │
│ 4033550 │ Tools │
│ 3559010 │ Baby │
│ 3317662 │ Home Entertainment │
│ 2559501 │ Video │
│ 2204328 │ Furniture │
│ 2157587 │ Musical Instruments │
│ 1881662 │ Software │
│ 1676081 │ Jewelry │
│ 1499945 │ Watches │
│ 1224071 │ Digital_Music_Purchase │
│ 847918 │ Luggage │
│ 503939 │ Major Appliances │
│ 392001 │ Digital_Video_Games │
│ 348990 │ Personal_Care_Appliances │
│ 321372 │ Digital_Software │
│ 169585 │ Mobile_Electronics │
│ 72970 │ Gift Card │
└──────────────────┴──────────────────────────┘
43 rows in set. Elapsed: 0.201 sec. Processed 150.96 million rows, 754.79 MB (750.85 million rows/s., 3.75 GB/s.)
- Let's find the products with the word "awful" occurring most frequently in the review. This is a big task - over 151M strings have to be parsed looking for a single word:
SELECT
product_id,
any(product_title),
avg(star_rating),
count() AS count
FROM amazon_reviews
WHERE position(review_body, 'awful') > 0
GROUP BY product_id
ORDER BY count DESC
LIMIT 50;
The query only takes 4 seconds - which is impressive - and the results are a fun read:
┌─product_id─┬─any(product_title)───────────────────────────────────────────────────────────────────────┬───avg(star_rating)─┬─count─┐
│ 0345803485 │ Fifty Shades of Grey: Book One of the Fifty Shades Trilogy (Fifty Shades of Grey Series) │ 1.3870967741935485 │ 248 │
│ B007J4T2G8 │ Fifty Shades of Grey (Fifty Shades, Book 1) │ 1.4439834024896265 │ 241 │
│ B006LSZECO │ Gone Girl: A Novel │ 2.2986425339366514 │ 221 │
│ B00008OWZG │ St. Anger │ 1.6565656565656566 │ 198 │
│ B00BD99JMW │ Allegiant (Divergent Trilogy, Book 3) │ 1.8342541436464088 │ 181 │
│ B0000YUXI0 │ Mavala Switzerland Mavala Stop Nail Biting │ 4.473684210526316 │ 171 │
│ B004S8F7QM │ Cards Against Humanity │ 4.753012048192771 │ 166 │
│ 031606792X │ Breaking Dawn (The Twilight Saga, Book 4) │ 1.796875 │ 128 │
│ 006202406X │ Allegiant (Divergent Series) │ 1.4242424242424243 │ 99 │
│ B0051VVOB2 │ Kindle Fire (Previous Generation - 1st) │ 2.7448979591836733 │ 98 │
│ B00I3MP3SG │ Pilot │ 1.8762886597938144 │ 97 │
│ 030758836X │ Gone Girl │ 2.15625 │ 96 │
│ B0009X29WK │ Precious Cat Ultra Premium Clumping Cat Litter │ 3.0759493670886076 │ 79 │
│ B00JB3MVCW │ Noah │ 1.2027027027027026 │ 74 │
│ B00BAXFECK │ The Goldfinch: A Novel (Pulitzer Prize for Fiction) │ 2.643835616438356 │ 73 │
│ B00N28818A │ Amazon Prime Video │ 1.4305555555555556 │ 72 │
│ B007FTE2VW │ SimCity - Limited Edition │ 1.2794117647058822 │ 68 │
│ 0439023513 │ Mockingjay (The Hunger Games) │ 2.6417910447761193 │ 67 │
│ B000OCEWGW │ Liquid Ass │ 4.8125 │ 64 │
│ B00178630A │ Diablo III - PC/Mac │ 1.671875 │ 64 │
│ B005ZOBNOI │ The Fault in Our Stars │ 4.316666666666666 │ 60 │
│ B00L9B7IKE │ The Girl on the Train: A Novel │ 2.0677966101694913 │ 59 │
│ B003WUYPPG │ Unbroken: A World War II Story of Survival, Resilience, and Redemption │ 4.620689655172414 │ 58 │
│ B0064X7B4A │ Words With Friends │ 2.2413793103448274 │ 58 │
│ B007S6Y6VS │ Garden of Life Raw Organic Meal │ 2.8793103448275863 │ 58 │
│ B000XUBFE2 │ The Book Thief │ 4.526315789473684 │ 57 │
│ B00006HBUJ │ Star Wars: Episode II - Attack of the Clones (Widescreen Edition) │ 2.2982456140350878 │ 57 │
│ B0006399FS │ How to Dismantle an Atomic Bomb │ 1.9821428571428572 │ 56 │
│ B003ZSJ212 │ Star Wars: The Complete Saga (Episodes I-VI) (Packaging May Vary) [Blu-ray] │ 2.309090909090909 │ 55 │
│ 193700788X │ Dead Ever After (Sookie Stackhouse/True Blood) │ 1.5185185185185186 │ 54 │
│ B004FYEZMQ │ Mass Effect 3 │ 2.056603773584906 │ 53 │
│ B000CFYAMC │ The Room │ 3.9615384615384617 │ 52 │
│ B0012JY4G4 │ Color Oops Hair Color Remover Extra Strength 1 Each │ 3.9019607843137254 │ 51 │
│ B0031JK95S │ Garden of Life Raw Organic Meal │ 3.3137254901960786 │ 51 │
│ B00CE18P0K │ Pilot │ 1.7142857142857142 │ 49 │
│ B007VTVRFA │ SimCity - Limited Edition │ 1.2040816326530612 │ 49 │
│ 0316015849 │ Twilight (The Twilight Saga, Book 1) │ 1.8979591836734695 │ 49 │
│ B00DR0PDNE │ Google Chromecast HDMI Streaming Media Player │ 2.5416666666666665 │ 48 │
│ B000056OWC │ The First Years: 4-Stage Bath System │ 1.2127659574468086 │ 47 │
│ B007IXWKUK │ Fifty Shades Darker (Fifty Shades, Book 2) │ 1.6304347826086956 │ 46 │
│ 1892112000 │ To Train Up a Child │ 1.4130434782608696 │ 46 │
│ 043935806X │ Harry Potter and the Order of the Phoenix (Book 5) │ 3.977272727272727 │ 44 │
│ B003XF1XOQ │ Mockingjay (Hunger Games Trilogy, Book 3) │ 2.772727272727273 │ 44 │
│ B00BGO0Q9O │ Fitbit Flex Wireless Wristband with Sleep Function, Black │ 1.9318181818181819 │ 44 │
│ B0064X7FVE │ The Weather Channel: Forecast, Radar & Alerts │ 1.5116279069767442 │ 43 │
│ B0083PWAPW │ Kindle Fire HD 7", Dolby Audio, Dual-Band Wi-Fi │ 2.627906976744186 │ 43 │
│ B00DD2B52Y │ Spring Breakers │ 1.2093023255813953 │ 43 │
│ B00192KCQ0 │ Death Magnetic │ 3.5714285714285716 │ 42 │
│ B004CFA9RS │ Divergent (Divergent Trilogy, Book 1) │ 3.1219512195121952 │ 41 │
│ B0052QYLUM │ Infant Optics DXR-5 Portable Video Baby Monitor │ 2.1463414634146343 │ 41 │
└────────────┴──────────────────────────────────────────────────────────────────────────────────────────┴────────────────────┴───────┘
50 rows in set. Elapsed: 4.072 sec. Processed 150.96 million rows, 68.93 GB (37.07 million rows/s., 16.93 GB/s.)
Peak memory usage: 1.82 GiB.
- We can run the same query again, except this time we search for awesome in the reviews:
SELECT
product_id,
any(product_title),
avg(star_rating),
count() AS count
FROM amazon_reviews
WHERE position(review_body, 'awesome') > 0
GROUP BY product_id
ORDER BY count DESC
LIMIT 50;
┌─product_id─┬─any(product_title)────────────────────────────────────────────────────┬───avg(star_rating)─┬─count─┐
│ B00992CF6W │ Minecraft │ 4.848130353039482 │ 4787 │
│ B009UX2YAC │ Subway Surfers │ 4.866720955483171 │ 3684 │
│ B00QW8TYWO │ Crossy Road │ 4.935217903415784 │ 2547 │
│ B00DJFIMW6 │ Minion Rush: Despicable Me Official Game │ 4.850450450450451 │ 2220 │
│ B00AREIAI8 │ My Horse │ 4.865313653136531 │ 2168 │
│ B00I8Q77Y0 │ Flappy Wings (not Flappy Bird) │ 4.8246561886051085 │ 2036 │
│ B0054JZC6E │ 101-in-1 Games │ 4.792542016806722 │ 1904 │
│ B00G5LQ5MU │ Escape The Titanic │ 4.724673710379117 │ 1609 │
│ B0086700CM │ Temple Run │ 4.87636130685458 │ 1561 │
│ B009HKL4B8 │ The Sims Freeplay │ 4.763942931258106 │ 1542 │
│ B00I6IKSZ0 │ Pixel Gun 3D (Pocket Edition) - multiplayer shooter with skin creator │ 4.849894291754757 │ 1419 │
│ B006OC2ANS │ BLOOD & GLORY │ 4.8561538461538465 │ 1300 │
│ B00FATEJYE │ Injustice: Gods Among Us (Kindle Tablet Edition) │ 4.789265982636149 │ 1267 │
│ B00B2V66VS │ Temple Run 2 │ 4.764705882352941 │ 1173 │
│ B00JOT3HQ2 │ Geometry Dash Lite │ 4.909747292418772 │ 1108 │
│ B00DUGCLY4 │ Guess The Emoji │ 4.813606710158434 │ 1073 │
│ B00DR0PDNE │ Google Chromecast HDMI Streaming Media Player │ 4.607276119402985 │ 1072 │
│ B00FAPF5U0 │ Candy Crush Saga │ 4.825757575757576 │ 1056 │
│ B0051VVOB2 │ Kindle Fire (Previous Generation - 1st) │ 4.600407747196738 │ 981 │
│ B007JPG04E │ FRONTLINE COMMANDO │ 4.8125 │ 912 │
│ B00PTB7B34 │ Call of Duty®: Heroes │ 4.876404494382022 │ 890 │
│ B00846GKTW │ Style Me Girl - Free 3D Fashion Dressup │ 4.785714285714286 │ 882 │
│ B004S8F7QM │ Cards Against Humanity │ 4.931034482758621 │ 754 │
│ B00FAX6XQC │ DEER HUNTER CLASSIC │ 4.700272479564033 │ 734 │
│ B00PSGW79I │ Buddyman: Kick │ 4.888736263736264 │ 728 │
│ B00CTQ6SIG │ The Simpsons: Tapped Out │ 4.793948126801153 │ 694 │
│ B008JK6W5K │ Logo Quiz │ 4.782106782106782 │ 693 │
│ B00EDTSKLU │ Geometry Dash │ 4.942028985507246 │ 690 │
│ B00CSR2J9I │ Hill Climb Racing │ 4.880059970014993 │ 667 │
│ B00CRFAAYC │ Fab Tattoo Artist FREE │ 4.907435508345979 │ 659 │
│ B005ZXWMUS │ Netflix │ 4.722306525037936 │ 659 │
│ B00DHQHQCE │ Battle Beach │ 4.863287250384024 │ 651 │
│ B00BGA9WK2 │ PlayStation 4 500GB Console [Old Model] │ 4.688751926040061 │ 649 │
│ B008Y7SMQU │ Logo Quiz - Fun Plus Free │ 4.7888 │ 625 │
│ B0083PWAPW │ Kindle Fire HD 7", Dolby Audio, Dual-Band Wi-Fi │ 4.593900481540931 │ 623 │
│ B008XG1X18 │ Pinterest │ 4.8148760330578515 │ 605 │
│ B007SYWFRM │ Ice Age Village │ 4.8566666666666665 │ 600 │
│ B00K7WGUKA │ Don't Tap The White Tile (Piano Tiles) │ 4.922689075630252 │ 595 │
│ B00BWYQ9YE │ Kindle Fire HDX 7", HDX Display (Previous Generation - 3rd) │ 4.649913344887349 │ 577 │
│ B00IZLM8MY │ High School Story │ 4.840425531914893 │ 564 │
│ B004MC8CA2 │ Bible │ 4.884476534296029 │ 554 │
│ B00KNWYDU8 │ Dragon City │ 4.861111111111111 │ 540 │
│ B009ZKSPDK │ Survivalcraft │ 4.738317757009346 │ 535 │
│ B00A4O6NMG │ My Singing Monsters │ 4.845559845559846 │ 518 │
│ B002MQYOFW │ The Hunger Games (Hunger Games Trilogy, Book 1) │ 4.846899224806202 │ 516 │
│ B005ZFOOE8 │ iHeartRadio – Free Music & Internet Radio │ 4.837301587301587 │ 504 │
│ B00AIUUXHC │ Hungry Shark Evolution │ 4.846311475409836 │ 488 │
│ B00E8KLWB4 │ The Secret Society® - Hidden Mystery │ 4.669438669438669 │ 481 │
│ B006D1ONE4 │ Where's My Water? │ 4.916317991631799 │ 478 │
│ B00G6ZTM3Y │ Terraria │ 4.728421052631579 │ 475 │
└────────────┴───────────────────────────────────────────────────────────────────────┴────────────────────┴───────┘
50 rows in set. Elapsed: 4.079 sec. Processed 150.96 million rows, 68.95 GB (37.01 million rows/s., 16.90 GB/s.)
Peak memory usage: 2.18 GiB.