Moves schema and data from a local PostgreSQL server to a MySQL instance using dump, transform, and load steps.
Export the on-premise PostgreSQL schema and data, convert PostgreSQL types to MySQL-compatible ones, create target tables in MySQL, and load the transformed data. Finish by validating row counts and constraints.
Use pg_dump
for extraction, pgloader
or mysqldump --compatible=postgresql
for type conversion, and mysql
or MySQL Workbench for loading. For large ecommerce datasets, consider AWS DMS or Ora2Pg.
Map SERIAL
to AUTO_INCREMENT
, BOOLEAN
to TINYINT(1)
, BYTEA
to BLOB
, and arrays to join tables. Always review date/time defaults and enum values manually.
Add the --no-owner --no-acl
flags to pg_dump
, load data first, then alter MySQL sequences with ALTER TABLE ... AUTO_INCREMENT = MAX(id)+1;
so new inserts continue smoothly.
Create triggers in PostgreSQL to log changes to a _delta
table. Replicate this delta regularly using pg_dump --data-only
and apply with mysql
, or switch to AWS DMS for near-real-time replication.
Compare record counts per table, run spot queries (e.g., last 10 orders), and execute application integration tests. Validate constraints, indexes, and character sets to avoid silent corruption.
After successful checks, point application connection strings to MySQL, keep the PostgreSQL instance read-only for a few days, and monitor error logs and performance dashboards.
No, but it automates most type conversions. For complex enum or array fields, manual scripts may still be required.
Roughly 5–15 minutes per GB over a 100 Mbps link when using pgloader with parallel threads.
Yes. Keep the PostgreSQL server in read-only standby. Switch DNS back and restore service while you troubleshoot MySQL.