Let us prepare HR database with EMPLOYEES Table. We will be using this for some of the examples as well as exercises related to Window Functions.
Let us start spark context for this Notebook so that we can execute the code provided. You can sign up for our 10 node state of the art cluster/labs to learn Spark SQL using our unique integrated LMS.
val username = System.getProperty(“user.name”)
import org.apache.spark.sql.SparkSession
val username = System.getProperty("user.name")
val spark = SparkSession.
builder.
config("spark.ui.port", "0").
config("spark.sql.warehouse.dir", s"/user/${username}/warehouse").
enableHiveSupport.
appName(s"${username} | Spark SQL - Windowing Functions").
master("yarn").
getOrCreate
If you are going to use CLIs, you can use Spark SQL using one of the 3 approaches.
Using Spark SQL
spark2-sql \
--master yarn \
--conf spark.ui.port=0 \
--conf spark.sql.warehouse.dir=/user/${USER}/warehouse
Using Scala
spark2-shell \
--master yarn \
--conf spark.ui.port=0 \
--conf spark.sql.warehouse.dir=/user/${USER}/warehouse
Using Pyspark
pyspark2 \
--master yarn \
--conf spark.ui.port=0 \
--conf spark.sql.warehouse.dir=/user/${USER}/warehouse
- Create Database itversity_hr (replace itversity with your OS User Name)
- Create table employees in itversity_hr database.
- Load data into the table.
First let us start with creating the database.
DROP DATABASE itversity_hr CASCADE
CREATE DATABASE itversity_hr
USE itversity_hr
SELECT current_database()
As the database is created, let us go ahead and add table to it.
CREATE TABLE employees (
employee_id int,
first_name varchar(20),
last_name varchar(25),
email varchar(25),
phone_number varchar(20),
hire_date date,
job_id varchar(10),
salary decimal(8,2),
commission_pct decimal(2,2),
manager_id int,
department_id int
) ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
Let us load the data and validate the table.
LOAD DATA LOCAL INPATH '/data/hr_db/employees'
INTO TABLE employees
SELECT * FROM employees LIMIT 10
SELECT employee_id, department_id, salary FROM employees LIMIT 10
SELECT count(1) FROM employees