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postgres-d
Author | SHA1 | Date | |
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36d5affbee |
@ -2,6 +2,8 @@ import csv
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import json
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import logging
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import sqlite3
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import psycopg2
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import psycopg2.extras
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from dataclasses import dataclass
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from datetime import datetime
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@ -59,32 +61,33 @@ def get_online_files_list(subdir_filter=None, file_extension_filter=None):
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def init_database():
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LOG.info("Try to create tables")
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conn = sqlite3.connect(DB_NAME, timeout=300)
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conn.execute("""CREATE TABLE IF NOT EXISTS usage_stats(
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rental_id INTEGER PRIMARY KEY,
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duration INTEGER,
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bike_id INTEGER,
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end_date INTEGER,
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end_station_id INTEGER,
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conn = get_conn()
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cursor = conn.cursor()
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cursor.execute("""CREATE TABLE IF NOT EXISTS usage_stats(
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rental_id BIGINT PRIMARY KEY,
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duration BIGINT,
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bike_id BIGINT,
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end_date TIMESTAMP,
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end_station_id BIGINT,
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end_station_name TEXT,
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start_date INTEGER,
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start_station_id INTEGER,
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start_date TIMESTAMP,
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start_station_id BIGINT,
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start_station_name TEXT
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)""")
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conn.execute("CREATE TABLE IF NOT EXISTS read_files(file_path TEXT, etag TEXT PRIMARY KEY)")
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conn.execute("""CREATE TABLE IF NOT EXISTS bike_points(
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cursor.execute("CREATE TABLE IF NOT EXISTS read_files(file_path TEXT, etag TEXT PRIMARY KEY)")
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cursor.execute("""CREATE TABLE IF NOT EXISTS bike_points(
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id TEXT PRIMARY KEY,
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common_name TEXT,
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lat REAL,
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lon REAL,
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id_num INTEGER
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)""")
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conn.execute("""CREATE TABLE IF NOT EXISTS accidents(
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cursor.execute("""CREATE TABLE IF NOT EXISTS accidents(
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id INTEGER PRIMARY KEY,
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lat REAL,
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lon REAL,
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location TEXT,
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date TEXT,
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date TIMESTAMP,
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severity TEXT
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)""")
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conn.commit()
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@ -131,12 +134,14 @@ def create_dashboard_table():
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def import_bikepoints():
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LOG.info("Importing bikepoints")
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conn = sqlite3.connect(DB_NAME, timeout=300)
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conn = get_conn()
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cursor = conn.cursor()
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points = json.loads(requests.get("https://api.tfl.gov.uk/BikePoint").text)
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points = list(map(lambda p: (p['id'], p['commonName'], p['lat'], p['lon'], int(p['id'][11:])), points))
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LOG.info(f"Writing {len(points)} bikepoints to DB")
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conn.executemany("INSERT OR IGNORE INTO bike_points VALUES (?, ?, ?, ?, ?)", points)
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cursor.executemany("INSERT INTO bike_points VALUES (%s, %s, %s, %s, %s) ON CONFLICT DO NOTHING", points)
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conn.commit()
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conn.close()
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LOG.info("Bikepoints imported")
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@ -144,7 +149,8 @@ def import_bikepoints():
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def import_accidents(year):
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LOG.info("Importing accidents")
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conn = sqlite3.connect(DB_NAME, timeout=300)
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conn = get_conn()
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cursor = conn.cursor()
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def filter_pedal_cycles(accident):
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for vehicle in accident['vehicles']:
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@ -158,17 +164,19 @@ def import_accidents(year):
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accidents = list(map(lambda a: (a['id'], a['lat'], a['lon'], a['location'], a['date'], a['severity']), accidents))
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LOG.info(f"Writing {len(accidents)} bike accidents to DB")
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conn.executemany("INSERT OR IGNORE INTO accidents VALUES (?, ?, ?, ?, ?, ?)", accidents)
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cursor.executemany("INSERT INTO accidents VALUES (%s, %s, %s, %s, %s, %s) ON CONFLICT DO NOTHING", accidents)
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conn.commit()
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conn.close()
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LOG.info("Accidents importet")
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def import_usage_stats_file(export_file: ApiExportFile):
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conn = sqlite3.connect(DB_NAME, timeout=300)
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conn = get_conn()
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cursor = conn.cursor()
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rows = conn.execute("SELECT * FROM read_files WHERE etag LIKE ?", (export_file.etag,)).fetchall()
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if len(rows) != 0:
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cursor.execute("SELECT * FROM read_files WHERE etag = %s", (export_file.etag,))
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if len(cursor.fetchall()) != 0:
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LOG.warning(f"Skipping import of {export_file.path}")
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return
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@ -188,13 +196,13 @@ def import_usage_stats_file(export_file: ApiExportFile):
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# Bike Id
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int(entry[2] or "-1"),
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# End Date
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int(datetime.strptime(entry[3][:16], "%d/%m/%Y %H:%M").timestamp()) if entry[3] else -1,
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datetime.strptime(entry[3][:16], "%d/%m/%Y %H:%M") if entry[3] else None,
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# EndStation Id
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int(entry[4] or "-1"),
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# EndStation Name
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entry[5].strip(),
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# Start Date
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int(datetime.strptime(entry[6][:16], "%d/%m/%Y %H:%M").timestamp()) if entry[6] else -1,
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datetime.strptime(entry[6][:16], "%d/%m/%Y %H:%M") if entry[6] else None,
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# StartStation Id
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int(entry[7]),
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# StartStation Name
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@ -207,35 +215,45 @@ def import_usage_stats_file(export_file: ApiExportFile):
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LOG.error(f"Key Error {e} on line {entry}")
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return
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LOG.info(f"Writing {len(mapped)} entries to DB")
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conn.executemany("INSERT OR IGNORE INTO usage_stats VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)", mapped)
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conn.execute("INSERT OR IGNORE INTO read_files VALUES (?, ?)", (export_file.path, export_file.etag))
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psycopg2.extras.execute_values(cursor, "INSERT INTO usage_stats VALUES %s ON CONFLICT DO NOTHING ", mapped, page_size=1_000_000)
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cursor.execute("INSERT INTO read_files VALUES (%s, %s) ON CONFLICT DO NOTHING", (export_file.path, export_file.etag))
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conn.commit()
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conn.close()
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LOG.info(f"Finished import of {export_file.path}")
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def get_conn():
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return psycopg2.connect(
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host="localhost",
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database="postgres",
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user="postgres",
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password="supersecure"
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)
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def main():
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# General DB init
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init_database()
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import_accidents(2019)
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import_bikepoints()
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count_pre = sqlite3.connect(DB_NAME, timeout=300).execute("SELECT count(*) FROM usage_stats").fetchone()[0]
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# count_pre = sqlite3.connect(DB_NAME, timeout=300).execute("SELECT count(*) FROM usage_stats").fetchone()[0]
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#
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# Download and import opendata from S3 bucket
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all_files = get_online_files_list(subdir_filter="usage-stats", file_extension_filter=".csv")
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for file in all_files:
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import_usage_stats_file(file)
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count_after = sqlite3.connect(DB_NAME, timeout=300).execute("SELECT count(*) FROM usage_stats").fetchone()[0]
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# Create search-index for faster querying
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create_indexes()
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# Import Bikepoints
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import_bikepoints()
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# Import bike accidents
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import_accidents(2019)
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if count_after - count_pre > 0:
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create_dashboard_table()
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#
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# count_after = sqlite3.connect(DB_NAME, timeout=300).execute("SELECT count(*) FROM usage_stats").fetchone()[0]
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#
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# # Create search-index for faster querying
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# create_indexes()
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# # Import Bikepoints
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# import_bikepoints()
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# # Import bike accidents
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# import_accidents(2019)
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#
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# if count_after - count_pre > 0:
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# create_dashboard_table()
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if __name__ == "__main__":
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75
projects/project-3/db/postgres.sql
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75
projects/project-3/db/postgres.sql
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@ -0,0 +1,75 @@
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-- Tables
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CREATE TABLE IF NOT EXISTS usage_stats(
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rental_id BIGINT PRIMARY KEY,
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duration BIGINT,
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bike_id BIGINT,
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end_date TIMESTAMP,
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end_station_id BIGINT,
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end_station_name TEXT,
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start_date TIMESTAMP,
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start_station_id BIGINT,
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start_station_name TEXT
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);
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INSERT INTO usage_stats
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VALUES (40346508, 360, 12019, TO_TIMESTAMP(1420326360), 424, 'Ebury Bridge, Pimlico', TO_TIMESTAMP(1420326000), 368, 'Harriet Street, Knightsbridge')
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ON CONFLICT DO NOTHING;
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SELECT TO_TIMESTAMP(1420326360);
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CREATE TABLE IF NOT EXISTS read_files(
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file_path TEXT,
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etag TEXT PRIMARY KEY
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);
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CREATE TABLE IF NOT EXISTS bike_points(
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id TEXT PRIMARY KEY,
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common_name TEXT,
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lat REAL,
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lon REAL,
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id_num BIGINT
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);
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CREATE TABLE IF NOT EXISTS accidents(
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id BIGINT PRIMARY KEY,
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lat REAL,
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lon REAL,
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location TEXT,
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date TEXT,
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severity TEXT
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);
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-- indicies
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CREATE INDEX IF NOT EXISTS idx_station_start_and_end_date ON usage_stats (start_station_id, start_date, end_date);
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SELECT COUNT(*) FROM usage_stats;
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SELECT
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min(u.start_station_name) AS startStationName,
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u.end_station_name AS endStationName,
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count(*) AS number,
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round(avg(u.duration)) AS avgDuration
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FROM usage_stats u
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WHERE u.start_station_id = 512 AND u.start_date::DATE >= '2010-01-01'::DATE AND u.start_date::DATE <= '2022-01-15'::DATE
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GROUP BY u.end_station_name
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ORDER BY number DESC
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LIMIT 3;
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SELECT
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MIN(b.id_num) as id,
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MIN(b.common_name) AS commonName,
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MIN(b.lat),
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MIN(b.lon),
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max(u.start_date) AS maxEndDate,
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min(u.start_date) AS maxStartDate
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FROM usage_stats u
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JOIN bike_points b ON u.start_station_id = b.id_num
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WHERE u.start_station_id = 306
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