Export ParadeDB (Postgres) tables, translate schema, and bulk-load the data into MySQL with minimal downtime.
Teams switch when they need MySQLs replication ecosystem, cloud hosting tiers, or to consolidate databases within an existing LAMP stack.
Create a maintenance window, back up ParadeDB with pg_dump
, and provision a target MySQL instance with identical character sets and time zones.
Use COPY
to produce clean CSV files per table. Example: COPY (SELECT * FROM customers ORDER BY id) TO '/tmp/customers.csv' WITH (FORMAT CSV, HEADER, DELIMITER ',');
Use a shell loop or pg_dump --format=plain --data-only --table
commands batched per table to keep files small and manageable.
Translate Postgres typese.g., serial
1 AUTO_INCREMENT
, text
1 LONGTEXT
, timestamptz
1 DATETIME
. Run CREATE TABLE customers (id INT PRIMARY KEY AUTO_INCREMENT, name VARCHAR(255), email VARCHAR(255), created_at DATETIME);
Place files in /var/lib/mysql-files
, then run LOAD DATA INFILE '/var/lib/mysql-files/customers.csv' INTO TABLE customers FIELDS TERMINATED BY ',' ENCLOSED BY '"' LINES TERMINATED BY '\n' IGNORE 1 LINES;
Disable checks during load: SET FOREIGN_KEY_CHECKS=0;
Import child tables after parents, then re-enable.
Run row counts on both sides, spot-check sample IDs, and create needed indexes. Finally, switch application connections and monitor error logs.
Only if you wrap the export query in an explicit ORDER BY
. Otherwise PostgreSQL writes rows in page order.
Yes. Use GNU parallel or separate sessions; just avoid saturating I/O bandwidth.
Keep ParadeDB read-only until MySQL verification passes, then redirect traffic. You can switch DNS back instantly if needed.