Write a pig script to calculate the sum of profits earned by selling a particular product.
Below is the code to create data into hive table.
CREATE SCHEMA IF NOT EXISTS bdp; CREATE TABLE bdp.profits (product_id INT,profit BIGINT); INSERT INTO TABLE bdp.profits VALUES ('123','1365'),('124','3253'),('125','91522'), ('123','51842'),('127','19616'),('128','2433'), ('127','182652'),('130','21632'),('122','21632'), ('127','21632'),('135','21632'),('123','21632'),('135','3282');
Step 1: Load Data
Let’s first login to hive and load data into table “profits” which is under bdp schema.
After executing query, verify that data is loaded successfully.
use below command
select * from bdp.profits;
After analyzing data we can say that each product has associated profits with it, and also some products have multiple profits. Our Goal is to calculate total profit on particular product id.
Step 2: Import table into pig
As we need to process this dataset using Pig so let’s go to grunt shell, use below command to enter into grunt shell, remember –useHCatalog is must as we need jars which are required to fetch data from a hive.
- pig -useHCatalog;
Let’s have one relation PROFITS in which we can load data from hive table.
- PROFITS = LOAD 'bdp.profits' USING org.apache.hive.hcatalog.pig.HCatLoader();
dump PROFITS will give below result.
Step 3: Grouping based on product_id
As we have column product_id, so grouping on a product will give us all tuples which have same product id into one bag.
Execute below command to get grouped records.
- GRPD_PROFITS = GROUP PROFITS BY product_id;
dump GRPD_PROFITS will give below result.
You can observe here that product id 123 have 3 tuples.
You can use describe to see the schema of relation GRPD_PROFITS
Below is the result.
Step 4: SUM operator
Now it’s time to apply Sum operator on every tuple of each product id. All profits will be added .use below command
- SUM_PROFIT = FOREACH GRPD_PROFITS GENERATE group,SUM(PROFITS.profit) as total_profit;
In the output, we want only group i.e product_id and sum of profits i.e total_profit .so we are generating only group key and total profit.
Below is the results.
Observe that total selling profit of product which has id 123 is 74839.
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