Introduction to psycopg2-binary

psycopg2-binary is the most popular PostgreSQL database adapter for the Python programming language. Built with asynchronous I/O support, it efficiently manages database operations.

Installing psycopg2-binary

  pip install psycopg2-binary

Connecting to a PostgreSQL Database

  import psycopg2

  conn = psycopg2.connect(
      dbname="yourdbname", 
      user="yourusername", 
      password="yourpassword", 
      host="yourhost", 
      port="yourport"
  )

Executing Basic Queries

  with conn.cursor() as cur:
      cur.execute("SELECT * FROM yourtable")
      rows = cur.fetchall()
      for row in rows:
          print(row)

Inserting Data into the Database

  with conn.cursor() as cur:
      cur.execute("INSERT INTO yourtable (column1, column2) VALUES (%s, %s)", (value1, value2))
      conn.commit()

Updating Data in the Database

  with conn.cursor() as cur:
      cur.execute("UPDATE yourtable SET column1 = %s WHERE column2 = %s", (new_value, condition_value))
      conn.commit()

Deleting Data from the Database

  with conn.cursor() as cur:
      cur.execute("DELETE FROM yourtable WHERE column1 = %s", (condition_value,))
      conn.commit()

Batch Insertion Using execute_batch

  from psycopg2.extras import execute_batch

  data = [(value1, value2), (value3, value4)]

  with conn.cursor() as cur:
      execute_batch(cur, "INSERT INTO yourtable (column1, column2) VALUES (%s, %s)", data)
      conn.commit()

Handling Transactions

  try:
      with conn:
          with conn.cursor() as cur:
              cur.execute("INSERT INTO yourtable (column1, column2) VALUES (%s, %s)", (value1, value2))
              cur.execute("UPDATE yourtable SET column1 = %s WHERE column2 = %s", (new_value, condition_value))
  except Exception as e:
      print(f"An error occurred: {e}")

Using Connection Pooling

  from psycopg2 import pool

  conn_pool = pool.SimpleConnectionPool(1, 10, user="yourusername", password="yourpassword", host="yourhost", port="yourport", database="yourdbname")

  conn = conn_pool.getconn()
  try:
      with conn.cursor() as cur:
          cur.execute("SELECT * FROM yourtable")
          rows = cur.fetchall()
          for row in rows:
              print(row)
  finally:
      conn_pool.putconn(conn)

Creating an Example Application

  from flask import Flask, jsonify
  import psycopg2
  from psycopg2.extras import RealDictCursor

  app = Flask(__name__)

  def get_db_connection():
      conn = psycopg2.connect(
          dbname="yourdbname", 
          user="yourusername", 
          password="yourpassword", 
          host="yourhost", 
          port="yourport"
      )
      return conn

  @app.route('/')
  def index():
      conn = get_db_connection()
      with conn.cursor(cursor_factory=RealDictCursor) as cur:
          cur.execute("SELECT * FROM yourtable")
          rows = cur.fetchall()
      conn.close()
      return jsonify(rows)

  if __name__ == "__main__":
      app.run(debug=True)

psycopg2-binary is an essential package for Python developers working with PostgreSQL. With its rich set of features, getting started and managing your database becomes seamless.

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