Hive Real Life Use Cases - AcadGild Blog

AcadGildLearn. Do. Earn. Categories Mastering Hadoop eBook Home / Big Data and Hadoop / Hive Real Life Use Cases 29 December 2016 Hive Real Life Use Cases Practice Query Creation This blog of Big Data will be a good practice for Hive Beginners , for practicing query creation. At the end, you will be able to create a table, load data to the table and perform analytical analysis on the dataset provided in Hive real life use cases. The Topic for this blog as referring to the real life dataset of Petrol suppliers. And in the second part, we are covering real world Olympic records. . Analytics. It’s Free! ColumnNO. Go to the link If you need to download and setup Hive. Big Data. Cloud Computing and many more! Subscribe. It has been modified and published in terms to learning only. Here in this blog we will compare top petrol sellers of the world and get some hands-on experience in Hive.google. Column1: Column2: .But is not an actual data. NodeJS. Android.The sample dataset is made in reference to today’s rate of petrol consumption. Spark.com/open? id=0B1QaXx7tpw3SMTBqLUQwX0lOWnM DATA SET DESCRIPTION: Fascinated by latest technology? Subscribe to our blog and we'll keep you updated with latest technologies like AngularJS. PETROL: DATA SET: https://drive. Machine Learning. vol_OUT INT.amt_IN STRING. load data local inpath ‘/home/acadgild/Downloads/petrol. .distributer_name STRING.txt’ into table petrol.amy_OUT STRING.vol_IN INT.SUM(vol_OUT) FROM petrol GROUP BY distributer_name.’ stored as textfile. 1)In real life what is the total amount of petrol in volume sold by every distributor? SELECT distributer_name.year INT) row format delimited fields terminated by ‘.Column3: Column4: Column5: Column6: Column7: Creation of Table in Hive and Loading of data create table petrol (distributer_id STRING. 3)Find real life 10 distributor name who sold petrol in the least amount.2)Which are the top 10 distributors ID’s for selling petrol and also display the amount of petrol sold in volume by them individually? SELECT distributer_id. .vol_OUT FROM petrol order by vol_OUT desc limit 10. and we all love it.SELECT distributer_id. along with the year and the difference which they have in that year. with the Summer and Winter Games alternating by occurring every four years but two years apart. Hint: (vol_IN-vol_OUT)>500 ——————————xxx xxx xxx————————— We all know how much interesting Olympics held every time. As we see all distributors are receiving patrols on every next cycle. List all distributors who have this difference. .In real life Olympic Games are considered the world’s foremost sports competition with more than 200 nations participating. 4)Try One yourself The constraint to this query is the difference between volumeIN and volumeOuT is illegal in real life if greater than 500.vol_OUT FROM petrol order by vol_OUT limit 10. The Olympic Games are held every four years . The sample dataset is made in reference to real life Olympic competition. Column3: Column4: Column5: Column6: Column7: Column8: Column9: . Column1: Column2: .But is not an actual data.google. Olympic: DATA SET: https://drive. It has been modified and published in terms to learning only.com/file/d/0B1QaXx7tpw3SaEE3bEFTQTMzNzg/view? usp=sharing Olympic Data analysis using Hive ColumnNO. year STRING.Column10: Creation of Table in Hive and Loading of data create table olympic (athelete STRING. .bronze INT.country STRING. Using the dataset list the total number of medals won by each country in swimming.csv’ into table olympic. select country.SUM(total) from olympic where sport = “Swimming” GROUP BY country.gold INT. load data local inpath ‘/home/acadgild/Downloads/olympic_data.silver INT.closing STRING.age INT.sport STRING.total INT) row format delimited fields terminated by ‘\t’ stored as textfile. 3)Find the total number of medals each country won display the name along .2)Display real life number of medals India won year wise.SUM(total) from olympic where country = “India” GROUP BY year. select year. with total medals. select country. 4)Find the real life number of gold medals each country won. select country. .SUM(gold) from olympic GROUP BY country.SUM(total) from olympic GROUP BY country. 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