Tag: postgresql

How to connect to PostgreSQL databases in Python, JavaScript, and Java.

Configure and tune database connection pools to maximize throughput while preventing connection exhaustion.

How to version, apply, and rollback database schema changes using migration tools like Flyway, Alembic, and Liquibase in production environments.

How to run database schema migrations without downtime or data loss.

Scale read-heavy workloads with database read replicas, replication lag monitoring, and read/write splitting across primary and replica instances.

Set up and manage database replication for high availability, read scaling, and disaster recovery with primary-replica architectures.

How to create and use database views and materialized views to simplify queries and improve read performance

How to use Elasticsearch aggregations to build faceted search, analytics dashboards, and real-time metrics from indexed data

How to implement full-text search with Elasticsearch, Meilisearch, and PostgreSQL.

How to implement optimistic locking with versioning to prevent lost updates in concurrent database access

Analyze and optimize slow PostgreSQL queries using EXPLAIN, proper indexing, partial indexes, and query rewriting to reduce execution time from seconds to milliseconds

How to seed databases with realistic data for development, testing, and staging environments using seed scripts, migrations, and factories across PostgreSQL, MongoDB, and Prisma.

How to implement soft deletes to preserve data while hiding records from normal queries.

Detect duplicate records in SQL tables using GROUP BY and HAVING, then remove them safely while keeping the canonical row.

Configure full-text search indexes in PostgreSQL to query large text columns with ranking, stemming, and highlighting.

Identify missing, unused, and inefficient indexes by reading execution plans and measuring query cost with EXPLAIN.

Practical examples of INNER, LEFT, RIGHT, and FULL OUTER JOINs with real-world query patterns.

Rename columns or change data types without locking tables by using views, triggers, and backfill strategies.

Split huge SQL tables into smaller partitions by date, range, or list to improve query performance and maintenance.

Query tree-like or graph-like structures in SQL using recursive common table expressions to walk parent-child relationships.

Use SQL window functions to rank rows, compute running totals, and compare values within partitions without self-joins.

Use the transactional outbox pattern to reliably publish domain events alongside database changes, with a relay processor, polling strategies, and exactly-once delivery guarantees.

Checklist for systematic SQL query optimization: EXPLAIN plan analysis, index strategy, N+1 query detection, join optimization, pagination patterns, connection pooling, query caching, and slow query log triage with examples for PostgreSQL and MySQL.

A practical guide to full-text search: PostgreSQL tsvector, Elasticsearch indexing, query design, relevance tuning, and building search that users trust with autocomplete, faceting, and typo tolerance.

A practical guide to read replicas: setting up replication, routing read queries, handling replication lag, and scaling read-heavy workloads with PostgreSQL, MySQL, and cloud-managed replicas.

Master PostgreSQL replication. Covers streaming replication, logical replication, cascading replicas, synchronous commit, failover with Patroni, monitoring lag, slot management, and disaster recovery with practical configuration examples.

Optimize PostgreSQL for high throughput. Covers configuration tuning, indexing strategies, query optimization, connection pooling, partitioning, and vacuum management.