dbclone

Website: https://phuthuycoding.github.io/dbclone/
Clone MongoDB and MySQL databases between any two connections — staging → local,
prod → local, local → staging, staging → another server — whole databases or just the
tables/collections you pick, with parallel streaming, retries and a live progress view in the
terminal.
Cloning 3 databases prod → local · pool 8 streams · max 4 streams/db
⠹ mongo:shop orders ⇉2 [==========>-------------] 42% 1.2 GiB / ~2.9 GiB 18.4 MiB/s 01:07
✓ mysql:app done [========================] 100% 235.6 MiB 57.2 MiB/s 00:04
· mysql:crm waiting for slot [------------------------] 0% 0.0 b / ~80.0 MiB
Why
- Any direction. Save your servers as named profiles (
staging, prod, …) and clone from
any of them to any other; your local Docker containers are the built-in profile local.
- Nothing to install on the host. Dump and restore run with the tools that already ship in
the official
mongo and mysql images, inside your local containers.
- Streams, never stages. Each dump is piped straight into the restore; no dump files on disk.
- Fast. One global pool of streams shared by all databases, biggest work first. Big Mongo
collections and groups of MySQL tables each get their own stream.
- Survives flaky links. Every stream is retried (3 attempts, backoff); restores
drop-and-recreate, so a retry starts clean. Errors no retry can fix — access denied, for
one — fail at once.
- Hard to misuse. Writing to anything but
local means typing the target's name;
-fresh (drop whole databases) only works on local; a server is never cloned onto itself.
- Secrets stay secret. Passwords reach the tools as environment variables, never on a
command line; profiles are stored with mode
0600; every log line is scrubbed of
user:password@.
Requirements
- Docker, with local MongoDB / MySQL running from the official images (
mongo, mysql).
Their tools run every dump and restore — also when neither side is local. By default the
containers are named mongodb and mysql; override with DBCLONE_MONGO_CONTAINER /
DBCLONE_MYSQL_CONTAINER.
- The local containers must carry their root credentials in the environment —
MONGO_INITDB_ROOT_USERNAME / MONGO_INITDB_ROOT_PASSWORD for Mongo and
MYSQL_ROOT_PASSWORD for MySQL — which is how the official images are normally configured.
They are used for the local profile; you never type local credentials.
- Remote servers must be reachable from inside the containers.
Not sure your machine is ready? dbclone -check lists each requirement with ✓/✗ and the exact
command to fix anything missing (Docker not installed, daemon not running, container missing
or not from the official image). dbclone runs the same check on every start, and an engine
whose local container is unusable is simply skipped.
Checking local setup
✓ Docker 29.8.2
✓ mongo: local container "mongodb" running
✗ mysql: local container "mysql" not found
create one: docker run -d --name mysql -p 3306:3306 -e MYSQL_ROOT_PASSWORD=<password> mysql:8.4
or use an existing container: DBCLONE_MYSQL_CONTAINER=<name> dbclone
Install
go install github.com/phuthuycoding/dbclone@latest
or download a binary from Releases.
Usage
dbclone # first run: add profiles, then pick FROM, TO and the databases
dbclone -setup # add, edit or delete profiles
- Profiles — a profile is a named connection: a MongoDB URI and/or MySQL host, port, user
and password. On first run dbclone checks the local setup and opens the profile manager.
Profiles live in
<user config dir>/dbclone/profiles.json (mode 0600; -config to use
another file). An old .env.staging in the current directory is imported once as staging.
Example: profiles.example.json.
- From / to — pick the source and the target (default
local). Both connections are
tested right away; if one fails you can edit that profile and retry.
- Databases — tick the databases to clone; ones that already exist on the target are marked.
- Narrow down (optional) — restrict any of them to specific tables/collections
(
space toggle, ctrl+a toggle all, / filter).
- Confirm — what will be written is listed first. For any target other than
local
you must type the target's name.
Non-interactive:
dbclone -from staging -only mongo:shop,mysql:app -yes # staging → local
dbclone -from prod -only mongo:shop.orders,mysql:app.users # some objects, prod → local
dbclone -from local -to staging -only mysql:app -confirm staging # local → staging
dbclone -from staging -all -fresh -j 3 -w 2 # identical local copy, gentle on the source
| Flag |
Default |
Meaning |
-from |
asked |
source profile (local = your Docker containers) |
-to |
local |
target profile |
-confirm |
|
the target's name; required to write to a non-local target without the prompt |
-only |
|
engine:db or engine:db.object, comma separated; skips the picker |
-all |
off |
clone every database of the source, no picker |
-fresh |
off |
drop each wholly-cloned database on the target first — local target only |
-yes |
off |
do not ask before overwriting databases on the local target |
-j |
8 |
global pool: concurrent dump→restore streams across all databases |
-w |
4 |
max streams for one database |
-config |
user config dir |
profiles file |
-logs |
logs |
per-database tool output, one folder per run |
-setup |
off |
manage profiles before cloning |
-check |
|
check the local setup (Docker, containers) and exit |
-version |
|
print the version |
What gets overwritten
| On the target |
Object exists on the source |
Object exists only on the target |
| default |
dropped and recreated |
kept |
-fresh, whole database (local only) |
dropped and recreated |
dropped (the database is dropped first) |
| subset of a database |
dropped and recreated (selected objects only) |
kept, even with -fresh |
How it works
┌──────────────── local container ────────────────┐
source ──────────▶│ mongodump / mysqldump ──pipe──▶ mongorestore / mysql │──────────▶ target
(any profile) └──────────────────────────────────────────────────┘ (any profile)
- MongoDB — collections of 64 MiB or more get their own
mongodump --collection | mongorestore
stream; everything else (small collections, views) travels in one more stream that runs
several collections in parallel. Database names in the URI are handled for you.
- MySQL — tables are split into up to
-w size-balanced groups, each its own
mysqldump --single-transaction | mysql stream; triggers, views, routines and events follow
once the data is in.
- Scheduling — streams from all databases share one weighted pool of
-j slots and are
dispatched biggest first, so a slot freed by a small database goes straight to a big one.
Things to know:
- MySQL table groups each take their own snapshot, so the copy is not one consistent
point in time across tables. Fine for development data, not a backup tool.
- The MySQL source user needs
SELECT, SHOW VIEW and TRIGGER. Without EVENT, events are
skipped with a warning; routines the user cannot see are skipped silently by mysqldump.
- When only some objects of a MySQL database are cloned, routines and events are not copied.
- Writing to a remote MySQL:
DEFINER clauses are removed so a non-root user can create
views, routines and triggers (they get that user as definer). If the server has binary
logging on, creating triggers and routines needs SUPER or
log_bin_trust_function_creators=1 — without it the data still lands and the error says so.
On the local target, binary logging is turned off for the import session instead.
Adding an engine
Engines are adapters behind one interface. To add one (PostgreSQL, …), implement
driver.Driver in internal/driver/<engine>/ — connection fields, listing, Objects, Plan
and Prepare — and register it in drivers in main.go. Scheduling, retries, progress,
prompts and config need no change.
main flags + wiring
internal/ui terminal prompts and live progress
internal/clone engine: worker pool, dump → restore streaming, retries
internal/driver adapter interface; one package per engine
internal/preflight checks Docker and the local containers before anything runs
internal/docker runs the engine's own tools inside the local containers
internal/config connection file load/save
License
MIT