Overview of File Formats¶

Let us go through the details about different file formats supported by STORED AS Clause.

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 - Managing Tables - Basic DDL and DML").
    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

Go to this page and review supported file formats.
Supported File Formats
- TEXTFILE
- ORC
- PARQUET
- AVRO
- SEQUENCEFILE - is not important
- JSONFILE - only available in recent vesions of Hive.
- and more
We can even specify custom file formats (out of scope)

%%sql

DROP DATABASE IF EXISTS itversity_sms CASCADE

%%sql

CREATE DATABASE IF NOT EXISTS itversity_sms

%%sql

USE itversity_sms

%%sql

CREATE TABLE students (
    student_id INT,
    student_first_name STRING,
    student_last_name STRING,
    student_phone_numbers ARRAY<STRING>,
    student_address STRUCT<street:STRING, city:STRING, state:STRING, zip:STRING>
) STORED AS parquet

%%sql

INSERT INTO students VALUES (1, 'Scott', 'Tiger', NULL, NULL)

%%sql

INSERT INTO students VALUES (2, 'Donald', 'Duck', ARRAY('1234567890', '2345678901'), NULL)

%%sql

INSERT INTO students VALUES 
    (3, 'Mickey', 'Mouse', ARRAY('1234567890', '2345678901'), STRUCT('A Street', 'One City', 'Some State', '12345')),
    (4, 'Bubble', 'Guppy', ARRAY('5678901234', '6789012345'), STRUCT('Bubbly Street', 'Guppy', 'La la land', '45678'))

%%sql

SELECT * FROM students

import sys.process._
val username = System.getProperty("user.name")

s"hdfs dfs -ls /user/${username}/warehouse/${username}_sms.db/students"!

Apache Spark using SQL

Overview of File Formats¶