Implemented PostgreSQL JSON data import and management

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📅 2025-02-28 — Session: Implemented PostgreSQL JSON data import and management

🕒 20:35–21:15
🏷️ Labels: Postgresql, JSON, Database Management, Python, Data Import
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary goal of this session was to establish a robust method for importing JSON data into a PostgreSQL database and managing the database effectively.

Key Activities

  • Connecting to PostgreSQL: Reviewed correct methods for connecting to PostgreSQL using various tools like psql, pgcli, Python’s psycopg2, and GUI applications such as DBeaver and PGAdmin.
  • Introduction to PostgreSQL and psql: Explored basic commands and instructions for importing JSON email data into PostgreSQL using the command-line interface psql.
  • Database Management: Assessed the current databases and tables, identified the need for a new ‘emails’ table, and discussed cleaning up unused tables.
  • Importing JSON Data: Detailed steps to create a table and import JSON data using PostgreSQL commands and a Python script for enhanced control.
  • Testing JSON Import: Provided a lightweight JSON structure for testing the email data import process.
  • Creating an Email Storage Table: Developed a flexible SQL table using JSONB to store email data, allowing efficient querying and data extraction.
  • Force Dropping Tables: Outlined procedures to forcefully drop the ‘emails’ table in both Supabase and PostgreSQL environments, addressing potential constraints and security issues.
  • Batch Insertion with Python: Implemented a Python script for batch inserting JSON data into PostgreSQL, using psycopg2 for synchronous and asyncpg for asynchronous operations.
  • Installing psycopg2 and Alternatives: Provided guidance on installing the psycopg2 library and its alternatives, addressing dependency issues.

Achievements

  • Successfully connected to PostgreSQL using multiple tools and methods.
  • Set up and tested the import of JSON data into PostgreSQL.
  • Created a flexible email storage solution using JSONB.
  • Developed scripts for efficient data insertion and management.

Pending Tasks

  • Further testing of JSON data import processes to ensure reliability.
  • Optimization of batch insertion scripts for performance improvements.

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