📅 2025-02-28 — Session: PostgreSQL Database Management and JSON Import
🕒 20:35–21:15
🏷️ Labels: Postgresql, Database Management, Json Import, Python, SQL
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary goal of this session was to manage a PostgreSQL database efficiently by establishing connections, creating tables, and importing JSON data.
Key Activities
- Discussed correct methods for connecting to PostgreSQL using various tools like
psql
,pgcli
, Python’spsycopg2
, DBeaver, and PGAdmin. - Introduced basic
psql
commands and instructions for importing JSON email data. - Provided an overview of existing databases and tables, highlighting the need to create a new ‘emails’ table and clean up unused ones.
- Outlined steps for creating a table in PostgreSQL and importing JSON data using both backup commands and Python scripts.
- Offered a sample JSON structure for testing email data import processes.
- Created a flexible SQL table using JSONB for email storage.
- Detailed steps to forcefully drop the ‘emails’ table in both Supabase and PostgreSQL, addressing constraints and security issues.
- Provided a Python script for batch inserting JSON data into PostgreSQL and discussed the benefits of using Python over SQL’s
COPY
command. - Explained installation methods for
psycopg2
and alternatives likeasyncpg
.
Achievements
- Established a comprehensive understanding of PostgreSQL database management and JSON data import processes.
- Successfully created and managed database tables for email data storage.
Pending Tasks
- Further testing and verification of email data import processes using the provided JSON structure.
- Continuous monitoring and optimization of database operations.