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sql_queries.py
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import configparser
# Create a config object
config = configparser.ConfigParser()
config.read_file(open('dwh.cfg'))
# Retrieve relevant parameters from the config file
DWH_ROLE_ARN = config.get('IAM_ROLE', 'ARN')
LOG_DATA = config.get('S3', 'LOG_DATA')
LOG_JSONPATH = config.get('S3', 'LOG_JSONPATH')
SONG_DATA = config.get('S3', 'SONG_DATA')
# SQL statements for dropping tables
staging_events_table_drop = "DROP TABLE IF EXISTS staging_events;"
staging_songs_table_drop = "DROP TABLE IF EXISTS staging_songs;"
songplay_table_drop = "DROP TABLE IF EXISTS fact_songplays;"
user_table_drop = "DROP TABLE IF EXISTS dim_users;"
song_table_drop = "DROP TABLE IF EXISTS dim_songs;"
artist_table_drop = "DROP TABLE IF EXISTS dim_artists;"
time_table_drop = "DROP TABLE IF EXISTS dim_time;"
# SQL statements for creating tables
staging_events_table_create = """
CREATE TABLE IF NOT EXISTS staging_events
(
artist VARCHAR(250),
auth VARCHAR(12),
first_name VARCHAR(50),
gender VARCHAR(1),
item_in_session INTEGER,
last_name VARCHAR(50),
length FLOAT,
level VARCHAR(4),
location VARCHAR(250),
method VARCHAR(5),
page VARCHAR(10),
registration BIGINT,
session_id INTEGER,
song VARCHAR(250),
status INTEGER,
ts TIMESTAMP,
user_agent VARCHAR(500),
user_id INTEGER
);
"""
staging_songs_table_create = """
CREATE TABLE IF NOT EXISTS staging_songs
(
num_songs INTEGER,
artist_id VARCHAR(20),
artist_latitude FLOAT,
artist_longitude FLOAT,
artist_location VARCHAR(250),
artist_name VARCHAR(250),
song_id VARCHAR(20),
title VARCHAR(250),
duration FLOAT,
year INTEGER
);
"""
songplay_table_create = """
CREATE TABLE IF NOT EXISTS fact_songplays
(
songplay_id INT IDENTITY(1, 1) PRIMARY KEY,
start_time TIMESTAMP NOT NULL,
user_id INT NOT NULL,
level VARCHAR(4),
song_id VARCHAR(20) NOT NULL,
artist_id VARCHAR(20) NOT NULL,
session_id INT,
location VARCHAR(250),
user_agent VARCHAR(500)
);
"""
user_table_create = """
CREATE TABLE IF NOT EXISTS dim_users
(
user_id INT PRIMARY KEY,
first_name VARCHAR(50) NOT NULL,
last_name VARCHAR(50),
gender VARCHAR(1),
level VARCHAR(4)
);
"""
song_table_create = """
CREATE TABLE IF NOT EXISTS dim_songs
(
song_id VARCHAR(20) PRIMARY KEY,
title VARCHAR(250) NOT NULL,
artist_id VARCHAR(20) NOT NULL,
year INT,
duration FLOAT
);
"""
artist_table_create = """
CREATE TABLE IF NOT EXISTS dim_artists
(
artist_id VARCHAR(20) PRIMARY KEY,
name VARCHAR(250) NOT NULL,
location VARCHAR(250),
latitude FLOAT,
longitude FLOAT
);
"""
time_table_create = """
CREATE TABLE IF NOT EXISTS dim_time
(
start_time TIMESTAMP PRIMARY KEY,
hour INT NOT NULL,
day INT NOT NULL,
week INT NOT NULL,
month INT NOT NULL,
year INT NOT NULL,
weekday INT NOT NULL
);
"""
# SQL statements for staging tables
staging_events_copy = """
COPY staging_events FROM {}
CREDENTIALS 'aws_iam_role={}'
REGION 'us-west-2'
TIMEFORMAT AS 'epochmillisecs'
TRUNCATECOLUMNS BLANKSASNULL EMPTYASNULL
FORMAT AS JSON {};
""".format(LOG_DATA, DWH_ROLE_ARN, LOG_JSONPATH)
staging_songs_copy = """
COPY staging_songs FROM {}
CREDENTIALS 'aws_iam_role={}'
REGION 'us-west-2'
TRUNCATECOLUMNS BLANKSASNULL EMPTYASNULL
FORMAT AS JSON 'auto';
""".format(SONG_DATA, DWH_ROLE_ARN)
# SQL statements for loading data into fact and dim tables
songplay_table_insert = """
INSERT INTO fact_songplays (start_time, user_id, level, song_id,
artist_id, session_id, location, user_agent)
SELECT DISTINCT e.ts AS start_time, e.user_id, e.level,
s.song_id, s.artist_id, e.session_id,
e.location, e.user_agent
FROM staging_events AS e
LEFT JOIN staging_songs AS s
ON e.song = s.title AND e.artist = s.artist_name
WHERE e.page = 'NextSong';
"""
user_table_insert = """
INSERT INTO dim_users (user_id, first_name, last_name, gender, level)
SELECT DISTINCT user_id, first_name, last_name, gender, level
FROM staging_events
WHERE user_id IS NOT NULL AND page = 'NextSong';
"""
song_table_insert = """
INSERT INTO dim_songs (song_id, title, artist_id, year, duration)
SELECT DISTINCT song_id, title, artist_id, year, duration
FROM staging_songs
WHERE song_id IS NOT NULL;
"""
artist_table_insert = """
INSERT INTO dim_artists (artist_id, name, location, latitude, longitude)
SELECT DISTINCT artist_id, artist_name AS name,
artist_location AS location,
artist_latitude AS latitude,
artist_longitude AS longitude
FROM staging_songs
WHERE artist_id IS NOT NULL;
"""
time_table_insert = """
INSERT INTO dim_time (start_time, hour, day, week, month, year, weekday)
SELECT DISTINCT ts AS start_time,
EXTRACT(HOUR FROM ts) AS hour,
EXTRACT(DAY FROM ts) AS day,
EXTRACT(WEEK FROM ts) AS week,
EXTRACT(MONTH FROM ts) AS month,
EXTRACT(YEAR FROM ts) AS year,
EXTRACT(DOW FROM ts) AS weekday
FROM staging_events
WHERE ts IS NOT NULL AND page = 'NextSong';
"""
# SQL queries for checking the number of records inserted to each table
staging_events_table_count = "SELECT COUNT(*) FROM staging_events;"
staging_songs_table_count = "SELECT COUNT(*) FROM staging_songs;"
songplay_table_count = "SELECT COUNT(*) FROM fact_songplays;"
user_table_count = "SELECT COUNT(*) FROM dim_users;"
song_table_count = "SELECT COUNT(*) FROM dim_songs;"
artist_table_count = "SELECT COUNT(*) FROM dim_artists;"
time_table_count = "SELECT COUNT(*) FROM dim_time;"
# Create a list of tables
TABLES = ['staging_events', 'staging_songs', 'fact_songplays',
'dim_users', 'dim_songs', 'dim_artists', 'dim_time']
# SQL query for checking table schemas
CHECK_SCHEMA_QUERY = """
SELECT table_name, column_name, data_type
FROM information_schema.columns
WHERE table_name IN {}
ORDER BY table_name
""".format(tuple(TABLES))
# Analytic questions and SQL queries for validating the dimensional model
Q1 = 'What is the most played song of all time?'
Q2 = 'When is the highest usage time of day by hour for songs?'
Q3 = 'Who are the top 3 most popular artists?'
Q4 = 'Which five users listen to songs the most between midnight and 1 AM?'
Q1_query = """
SELECT dS.title
FROM fact_songplays AS fS
JOIN dim_songs AS dS
ON fS.song_id = dS.song_id
GROUP BY dS.title
ORDER BY COUNT(fS.songplay_id) DESC
LIMIT 1;
"""
Q2_query = """
SELECT dT.hour
FROM fact_songplays AS fS
JOIN dim_time AS dT
ON fS.start_time = dT.start_time
GROUP BY dT.hour
ORDER BY COUNT(fS.songplay_id) DESC
LIMIT 1;
"""
Q3_query = """
SELECT dA.name AS artist
FROM fact_songplays AS fS
JOIN dim_artists AS dA
ON fS.artist_id = dA.artist_id
GROUP BY artist
ORDER BY COUNT(fs.songplay_id) DESC
LIMIT 3;
"""
Q4_query = """
SELECT dU.first_name || ' ' || dU.last_name AS user
FROM fact_songplays AS fS
JOIN dim_time AS dT
ON fS.start_time = dT.start_time
JOIN dim_users AS dU
ON fS.user_id = dU.user_id
WHERE dT.hour = 0
GROUP BY dU.first_name, dU.last_name
ORDER BY COUNT(fS.songplay_id) DESC
LIMIT 5;
"""
# Consolidate queries into either lists or dictionaries
DROP_TABLE_QUERIES = [staging_events_table_drop, staging_songs_table_drop,
songplay_table_drop, user_table_drop, song_table_drop,
artist_table_drop, time_table_drop]
CREATE_TABLE_QUERIES = [staging_events_table_create,
staging_songs_table_create, songplay_table_create,
user_table_create, song_table_create,
artist_table_create, time_table_create]
COPY_TABLE_QUERIES = [staging_events_copy, staging_songs_copy]
INSERT_TABLE_QUERIES = [songplay_table_insert, user_table_insert,
song_table_insert, artist_table_insert,
time_table_insert]
COUNT_ROWS_QUERIES = [staging_events_table_count, staging_songs_table_count,
songplay_table_count, user_table_count, song_table_count,
artist_table_count, time_table_count]
ANALYTIC_QUERIES = {
Q1: Q1_query,
Q2: Q2_query,
Q3: Q3_query,
Q4: Q4_query,
}