mysql
postgresql

Migrate MySQL to PostgreSQL

Certified — live-tested path

Migrating from MySQL (the world's most deployed open-source relational database) to PostgreSQL (the most advanced open-source relational database) means every table, column type, key, index and row has to survive two engines' different opinions about data. DBShifts converts the schema with deterministic rules, transfers data in parallel batches, and validates the result with per-table row counts and type-aware checksums.

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MySQL vs PostgreSQL

mysql

MySQL

the world's most deployed open-source relational database.

postgresql

PostgreSQL

the most advanced open-source relational database.

How the migration works

01

Connect

Point DBShifts at your source and target. Credentials stay encrypted; SSH tunnels supported for private databases.

02

Analyze

Automatic schema introspection produces a migration plan: what converts automatically, what migrates with warnings, what needs human review.

03

Migrate

Schema is created on the target, data transfers in parallel batches with constraints deferred, indexes rebuilt after load.

04

Validate

Per-table row counts, type-aware checksums on both sides, FK integrity — plus a fidelity report listing anything lossy.

MySQL to PostgreSQL data type mapping

Pulled directly from DBShifts's own conversion rules — not a general reference table, this is what actually runs.

MySQLPostgreSQL
TINYINT(1)BOOLEAN
INT / INTEGERINTEGER
INT UNSIGNEDBIGINT
BIGINT UNSIGNEDNUMERIC(20)
DECIMAL(p,s)NUMERIC(p,s)
VARCHAR(n)VARCHAR(n)
TEXT / LONGTEXTTEXT
DATETIME(p)TIMESTAMP(p)
TIMESTAMPTIMESTAMPTZ
JSONJSONB
ENUMnative PostgreSQL ENUM
SETTEXT[]
BLOB / BINARYBYTEA
AUTO_INCREMENTidentity column

Example: MySQL to PostgreSQL schema conversion

MySQL

CREATE TABLE users (
  id INT AUTO_INCREMENT PRIMARY KEY,
  name VARCHAR(255) NOT NULL,
  is_active TINYINT(1) DEFAULT 1,
  created_at DATETIME DEFAULT CURRENT_TIMESTAMP
);

PostgreSQL

CREATE TABLE users (
  id INTEGER GENERATED ALWAYS AS IDENTITY PRIMARY KEY,
  name VARCHAR(255) NOT NULL,
  is_active BOOLEAN DEFAULT true,
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

MySQLPostgreSQL conversion notes

Engine-specific rules baked into the conversion and transfer pipeline — verified by live certification of this exact pair.

  • TINYINT(1) is treated as a boolean; plain TINYINT stays numeric — converting both blindly corrupts ratings and counters.
  • UNSIGNED integers are widened on targets without unsigned types, so values above the signed range survive.
  • ENUM and SET columns are converted with their value lists preserved (native enums, CHECK constraints, or arrays depending on the target).
  • TIME columns are durations (-838h..838h) at the driver level — DBShifts converts them per target instead of failing the batch.
  • Zero dates (0000-00-00) are normalized deterministically and reported, never silently dropped.
  • Bulk loads use sequence reseeding (setval to MAX) so SERIAL columns keep working after migration.
  • ENUMs from MySQL become native CREATE TYPE … AS ENUM — validation semantics preserved.
  • Foreign keys and indexes are applied after data load for dramatically faster transfers.

Frequently asked questions

Is MySQL to PostgreSQL migration production-ready in DBShifts?

Yes — MySQL to PostgreSQL is a certified pair. It passed DBShifts's live certification suite (schema conversion, data transfer, row counts, type-aware checksums over an edge-case fixture) and is battle-tested in production use.

How does DBShifts verify the MySQL to PostgreSQL migration was correct?

Three layers: per-table row counts on both sides, an order-independent type-aware checksum of row data (canonicalized so engine representation differences don't false-alarm), and FK integrity checks on the target. Rows that fail to insert are quarantined with the exact error — never silently dropped — and can be fixed and retried from the UI.

What happens to MySQL types that PostgreSQL doesn't have?

They convert by deterministic rules with a recorded decision: a native equivalent where one exists, a portable fallback (TEXT/JSON/DECIMAL) where one doesn't. Every lossy conversion appears in the migration plan before you run and in the fidelity report after. You can override any mapping per column.

Can I keep MySQL and PostgreSQL in sync after the initial migration?

Yes. DBShifts supports incremental sync (UPSERT-based delta transfers on a sync key) and, for supported sources, real-time change data capture so the target stays current until you cut over.

Do I need to write any SQL or scripts for MySQL to PostgreSQL?

No. Connect both databases, review the generated migration plan (what's automatic, what migrates with warnings, what needs manual review — typically triggers and stored procedures), and run. Procedural code is transpiled best-effort and queued for human review rather than auto-applied.

What's the hardest part of moving MySQL to PostgreSQL?

Type-system mismatches that fail silently rather than loudly — MySQL's edge-case types (5 engine-specific rules apply) converting into PostgreSQL's nearest equivalent. DBShifts's deterministic mapping records every downgrade in the fidelity report, so a value that clips, rounds, or widens is visible before cutover, not after.

Go deeper

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