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INSERT INTO student200.mitglieder (vorname, nachname, geburtsdatum, email) VALUES ('Anna', 'Wagner', '1976-02-27', '[email protected]'); | |
INSERT INTO student200.mitglieder (vorname, nachname, geburtsdatum, email) VALUES ('Anna', 'Fischer', '1973-03-26', '[email protected]'); | |
INSERT INTO student200.mitglieder (vorname, nachname, geburtsdatum, email) VALUES ('Anna', 'Meyer', '1973-06-14', '[email protected]'); | |
INSERT INTO student200.mitglieder (vorname, nachname, geburtsdatum, email) VALUES ('Tim', 'Fischer', '1990-02-10', '[email protected]'); | |
INSERT INTO student200.mitglieder (vorname, nachname, geburtsdatum, email) VALUES ('Paul', 'Wagner', '1982-09-06', '[email protected]'); | |
INSERT INTO student200.mitglieder (vorname, nachname, geburtsdatum, email) VALUES ('Laura', 'Müller', '1989-12-20', 'laura.mü[email protected]'); | |
INSERT INTO student200.mitglieder (vorname, nachname, geburtsdatum, email) VALUES ('Max', 'Schmidt', '1986-08-03', '[email protected]'); | |
INSERT INTO st |
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-- Which German cities ('D') are stored in the database? | |
SELECT * | |
FROM city | |
WHERE country = 'D'; | |
-- Which German cities ('D') have more than 100,000 inhabitants? | |
SELECT * | |
FROM city | |
WHERE country = 'D' AND population > 100000; |
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course_id | course_name | lecturer_id | room_id | module_id | ECTS | |
---|---|---|---|---|---|---|
1 | Course 1 | 84 | 32 | 67 | 4 | |
2 | Course 2 | 32 | 44 | 32 | 4 | |
3 | Course 3 | 40 | 46 | 29 | 4 | |
4 | Course 4 | 72 | 41 | 53 | 6 | |
5 | Course 5 | 83 | 15 | 74 | 3 | |
6 | Course 6 | 10 | 15 | 18 | 4 | |
7 | Course 7 | 62 | 2 | 47 | 3 | |
8 | Course 8 | 72 | 32 | 42 | 3 | |
9 | Course 9 | 11 | 40 | 68 | 6 |
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#!/bin/bash | |
python3 -m venv my_venv | |
source my_venv/bin/activate | |
pip install pandas psycopg2-binary sqlalchemy | |
python3 create_data.py |
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# steps in bash | |
# access home folder | |
cd ~ | |
# create a folder called cloud | |
mkdir cloud | |
# access the new folder | |
cd cloud | |
# create a file | |
touch myfirstfile |
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DROP TABLE IF EXISTS Articles CASCADE; | |
DROP TABLE IF EXISTS StorageLocations CASCADE; | |
DROP TABLE IF EXISTS StorageLocationSpecifications CASCADE; | |
DROP TABLE IF EXISTS Compatibilities CASCADE; | |
DROP TABLE IF EXISTS StorageUnits CASCADE; | |
-- object: public."Articles" | type: TABLE -- | |
CREATE TABLE Articles ( | |
AId varchar(8) NOT NULL, |
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<!DOCTYPE HTML> | |
<html xmlns="http://www.w3.org/1999/xhtml" | |
xmlns:h="http://xmlns.jcp.org/jsf/html" | |
xmlns:p="http://primefaces.org/ui"> | |
<h:head> | |
<title>PrimeFlex Demo</title> | |
<h:outputStylesheet library="webjars" name="primeflex/3.2.0/primeflex.min.css" /> | |
</h:head> | |
<body> | |
<h1>Hello from PrimeFlex</h1> |
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begin; | |
-- REM INSERTING into Articles | |
Insert into Articles (AID,ANAME,Weight) values ('A-001','Schokolade',125); | |
Insert into Articles (AID,ANAME,Weight) values ('A-002','Waschmittel',2500); | |
Insert into Articles (AID,ANAME,Weight) values ('A-003','Knuspermuesli',250); | |
Insert into Articles (AID,ANAME,Weight) values ('A-300','Bananenshake',550); | |
-- REM INSERTING into StorageUnits | |
Insert into StorageUnits (SUId,AID,Quantity,StoLId) values ('Le-001','A-001',101,'Lo-001'); | |
Insert into StorageUnits (SUId,AID,Quantity,StoLId) values ('Le-002','A-002',24,'Lo-001'); |
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absl-py==0.13.0 | |
astunparse==1.6.3 | |
async-generator==1.10 | |
attrs==21.2.0 | |
bleach==3.3.0 | |
cachetools==4.2.2 | |
certifi==2021.5.30 | |
chardet==3.0.4 | |
clang==5.0 | |
colorama==0.4.4 |
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# Diese Konfiguration benutzt eine Maschine, die über den Cloud-Dienst | |
# vagrantup bezogen und anschließend über VirtualBox mit aktivierter | |
# Oberfläche ausgeführt wird. | |
Vagrant.configure("2") do |config| | |
# Bezug der Box von der Vagrant Cloud | |
# Weitere Boxen unter: https://vagrantcloud.com/search | |
config.vm.box = "thomas42/mlbox" | |
config.vm.box_version = "0.42" | |
config.vm.provider "virtualbox" do |vb| |