commit 3802936800fa5b0b9f51d2c57cf961ca62dd8301
Author: H4CK3R-01 <resiaknairolf@gmail.com>
Date:   Tue Mar 7 14:35:47 2023 +0100

    initial commit

diff --git a/README.md b/README.md
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+# Datenbanken II example project
+
+## Run elasticsearch
+```
+docker run -d --name elasticsearch -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" elasticsearch:8.6.2
+```
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diff --git a/elasticsearch_nested.py b/elasticsearch_nested.py
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+from elasticsearch import Elasticsearch
+
+# Create a connection to Elasticsearch
+es = Elasticsearch("http://localhost:9200")
+
+# Define an index mapping
+mapping = {
+    "mappings": {
+        "properties": {
+            "customer_name": {"type": "keyword"},
+            "orders": {
+                "type": "nested",
+                "properties": {
+                    "order_id": {"type": "integer"},
+                    "product_name": {"type": "keyword"},
+                    "quantity": {"type": "integer"},
+                    "price": {"type": "float"}
+                }
+            }
+        }
+    }
+}
+
+# Create an index with the mapping
+es.indices.create(index="customers", body=mapping)
+
+# Insert some documents
+es.index(index="customers", body={"customer_name": "Alice", "orders": [
+    {"order_id": 1, "product_name": "Apple", "quantity": 2, "price": 1.00},
+    {"order_id": 4, "product_name": "Banana", "quantity": 1, "price": 0.50}
+]})
+es.index(index="customers", body={"customer_name": "Bob", "orders": [
+    {"order_id": 2, "product_name": "Banana", "quantity": 3, "price": 0.50}
+]})
+es.index(index="customers", body={"customer_name": "Charlie", "orders": [
+    {"order_id": 3, "product_name": "Cherry", "quantity": 1, "price": 2.00},
+    {"order_id": 5, "product_name": "Durian", "quantity": 2, "price": 3.00}
+]})
+
+# Search for documents
+query = {"query": {"nested": {"path": "orders", "query": {"match": {"orders.product_name": "Banana"}}}}}
+result = es.search(index="customers", body=query)
+
+# Print the search results
+for hit in result['hits']['hits']:
+    print(hit['_source'])
+
+# OUTPUT
+'''
+{'customer_name': 'Alice', 'orders': [{'order_id': 4, 'product_name': 'Banana', 'quantity': 1, 'price': 0.5}]}
+{'customer_name': 'Bob', 'orders': [{'order_id': 2, 'product_name': 'Banana', 'quantity': 3, 'price': 0.5}]}
+'''
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diff --git a/elasticsearch_one_index.py b/elasticsearch_one_index.py
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+++ b/elasticsearch_one_index.py
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+from elasticsearch import Elasticsearch
+
+# Create a connection to Elasticsearch
+es = Elasticsearch("http://localhost:9200")
+
+# Define an index mapping
+mapping = {
+    "mappings": {
+        "properties": {
+            "customer_name": {"type": "keyword"},
+            "order_id": {"type": "integer"},
+            "product_name": {"type": "keyword"},
+            "quantity": {"type": "integer"},
+            "price": {"type": "float"}
+        }
+    }
+}
+
+# Create an index with the mapping
+es.indices.create(index="orders", body=mapping)
+
+# Insert some documents
+es.index(index="orders", body={"customer_name": "Alice", "order_id": 1, "product_name": "Apple", "quantity": 2, "price": 1.00})
+es.index(index="orders", body={"customer_name": "Bob", "order_id": 2, "product_name": "Banana", "quantity": 3, "price": 0.50})
+es.index(index="orders", body={"customer_name": "Charlie", "order_id": 3, "product_name": "Cherry", "quantity": 1, "price": 2.00})
+es.index(index="orders", body={"customer_name": "Alice", "order_id": 4, "product_name": "Banana", "quantity": 1, "price": 0.50})
+es.index(index="orders", body={"customer_name": "Charlie", "order_id": 5, "product_name": "Durian", "quantity": 2, "price": 3.00})
+
+# Search for documents
+query = {"query": {"match": {"customer_name": "Alice"}}}
+result = es.search(index="orders", body=query)
+
+# Print the search results
+for hit in result['hits']['hits']:
+    print(hit['_source'])
+
+# OUTPUT
+'''
+{'customer_name': 'Alice', 'order_id': 1, 'product_name': 'Apple', 'quantity': 2, 'price': 1.0}
+{'customer_name': 'Alice', 'order_id': 4, 'product_name': 'Banana', 'quantity': 1, 'price': 0.5}
+'''
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diff --git a/elasticsearch_parent_child.py b/elasticsearch_parent_child.py
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+++ b/elasticsearch_parent_child.py
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+from elasticsearch import Elasticsearch
+
+# Create a connection to Elasticsearch
+es = Elasticsearch()
+
+# Define an index mapping for customers and orders
+mapping = {
+    "mappings": {
+        "properties": {
+            "customer_name": {"type": "keyword"}
+        }
+    }
+}
+
+order_mapping = {
+    "mappings": {
+        "properties": {
+            "order_id": {"type": "integer"},
+            "product_name": {"type": "keyword"},
+            "quantity": {"type": "integer"},
+            "price": {"type": "float"},
+            "customer_id": {"type": "join", "relations": {"customer": "order"}}
+        }
+    }
+}
+
+# Create the customers and orders indices with the mappings
+es.indices.create(index="customers", body=mapping)
+es.indices.create(index="orders", body=order_mapping)
+
+# Insert some documents
+es.index(index="customers", body={"customer_name": "Alice"})
+es.index(index="customers", body={"customer_name": "Bob"})
+es.index(index="customers", body={"customer_name": "Charlie"})
+
+es.index(index="orders", body={"order_id": 1, "product_name": "Apple", "quantity": 2, "price": 1.00, "customer_id": {"name": "Alice", "parent": "customer"}})
+es.index(index="orders", body={"order_id": 2, "product_name": "Banana", "quantity": 3, "price": 0.50, "customer_id": {"name": "Bob", "parent": "customer"}})
+es.index(index="orders", body={"order_id": 3, "product_name": "Cherry", "quantity": 1, "price": 2.00, "customer_id": {"name": "Charlie", "parent": "customer"}})
+es.index(index="orders", body={"order_id": 4, "product_name": "Banana", "quantity": 1, "price": 0.50, "customer_id": {"name": "Alice", "parent": "customer"}})
+es.index(index="orders", body={"order_id": 5, "product_name": "Durian", "quantity": 2, "price": 3.00, "customer_id": {"name": "Charlie", "parent": "customer"}})
+
+# Search for documents
+query = {
+    "query": {
+        "has_child": {
+            "type": "order",
+            "query": {
+                "match": {
+                    "product_name": "Banana"
+                }
+            }
+        }
+    }
+}
+
+result = es.search(index="customers", body=query)
+
+# Print the search results
+for hit in result['hits']['hits']:
+    print(hit['_source'])
+
+# OUTPUT
+'''
+{'customer_name': 'Alice'}
+{'customer_name': 'Bob'}
+'''
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diff --git a/requirements.txt b/requirements.txt
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+elasticsearch
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diff --git a/sqlite.py b/sqlite.py
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+import sqlite3
+
+# Connect to the database (creates it if it doesn't already exist)
+conn = sqlite3.connect('mydatabase.db')
+
+# Create a cursor object to execute SQL commands
+c = conn.cursor()
+
+# Drop all tables
+c.execute('''DROP TABLE customers''')
+c.execute('''DROP TABLE orders''')
+
+# Create a table for customers
+c.execute('''CREATE TABLE customers
+             (id INTEGER PRIMARY KEY, 
+             name text, 
+             email text)''')
+
+# Create a table for orders
+c.execute('''CREATE TABLE orders
+             (id INTEGER PRIMARY KEY, 
+             customer_id INTEGER, 
+             product text, 
+             quantity INTEGER, 
+             FOREIGN KEY (customer_id) REFERENCES customers(id))''')
+
+# Insert some data into customers
+c.execute("INSERT INTO customers VALUES (1, 'Alice', 'alice@example.com')")
+c.execute("INSERT INTO customers VALUES (2, 'Bob', 'bob@example.com')")
+c.execute("INSERT INTO customers VALUES (3, 'Charlie', 'charlie@example.com')")
+
+# Insert some data into orders
+c.execute("INSERT INTO orders VALUES (1, 1, 'Product A', 2)")
+c.execute("INSERT INTO orders VALUES (2, 2, 'Product B', 1)")
+c.execute("INSERT INTO orders VALUES (3, 1, 'Product C', 3)")
+
+# Save (commit) the changes
+conn.commit()
+
+# Retrieve data
+print("SELECT * FROM customers")
+c.execute("SELECT * FROM customers")
+rows = c.fetchall()
+for row in rows:
+    print(row)
+print("")
+
+print("SELECT * FROM orders")
+c.execute("SELECT * FROM orders")
+rows = c.fetchall()
+for row in rows:
+    print(row)
+print("")
+
+print("SELECT orders.product, customers.name FROM orders JOIN customers ON orders.customer_id == customers.id")
+c.execute("SELECT orders.product, customers.name FROM orders JOIN customers ON orders.customer_id == customers.id")
+rows = c.fetchall()
+for row in rows:
+    print(row)
+print("")
+
+
+# Close the cursor and the connection
+c.close()
+conn.close()
+
+
+# OUTPUT
+'''
+SELECT * FROM customers
+(1, 'Alice', 'alice@example.com')
+(2, 'Bob', 'bob@example.com')
+(3, 'Charlie', 'charlie@example.com')
+
+SELECT * FROM orders
+(1, 1, 'Product A', 2)
+(2, 2, 'Product B', 1)
+(3, 1, 'Product C', 3)
+
+SELECT orders.product, customers.name FROM orders JOIN customers ON orders.customer_id == customers.id
+('Product A', 'Alice')
+('Product B', 'Bob')
+('Product C', 'Alice')
+'''
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