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kalel1500/laravel-db-sync
=========================

A Laravel package for syncing database tables and data across multiple connections.

v0.8.0-beta.1(1mo ago)045MPL-2.0PHPPHP ^8.2

Since Jan 19Pushed 1mo agoCompare

[ Source](https://github.com/kalel1500/laravel-db-sync)[ Packagist](https://packagist.org/packages/kalel1500/laravel-db-sync)[ RSS](/packages/kalel1500-laravel-db-sync/feed)WikiDiscussions master Synced today

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Database Sync for Laravel
=========================

[](#database-sync-for-laravel)

 [![Total Downloads](https://camo.githubusercontent.com/1894d8e926008aaac1c9dd131288413aa9179e4350ac564b00b3f5fca13e1235/68747470733a2f2f696d672e736869656c64732e696f2f7061636b61676973742f64742f6b616c656c313530302f6c61726176656c2d64622d73796e63)](https://packagist.org/packages/kalel1500/laravel-db-sync) [![Latest Stable Version](https://camo.githubusercontent.com/407a4999320669c1e997bf932e40bcfb616e1aa8c1b2c1b969e8ee92a1614a8a/68747470733a2f2f696d672e736869656c64732e696f2f7061636b61676973742f762f6b616c656c313530302f6c61726176656c2d64622d73796e63)](https://packagist.org/packages/kalel1500/laravel-db-sync) [![License](https://camo.githubusercontent.com/c0858e36e00b5b1c6a5b702aa1d36b6de18a3c976d03fbbd9f4bf5108de65fb8/68747470733a2f2f696d672e736869656c64732e696f2f7061636b61676973742f6c2f6b616c656c313530302f6c61726176656c2d64622d73796e63)](https://packagist.org/packages/kalel1500/laravel-db-sync)

A Laravel package to **safely synchronize tables and data from external databases** into your application database.

This package is designed to **pull data from other machines or systems** (MySQL, PostgreSQL, Oracle, etc.) into a Laravel application in a controlled, traceable, and production-ready way, without forcing your final domain schema to match the source.

It focuses on **data ingestion**, not on how that data is later processed inside your application.

---

What this package does (and when to use it)
-------------------------------------------

[](#what-this-package-does-and-when-to-use-it)

This package is useful when you need to:

- Import data from legacy systems
- Synchronize data from external servers
- Periodically ingest data from other databases
- Create staging tables fed by external sources
- Centralize data from multiple origins

It **does not replace migrations or ORMs**. It solves a very specific problem: **bringing external data into your Laravel database safely and observably**.

---

Installation
------------

[](#installation)

Install the package via Composer:

```
composer require kalel1500/laravel-db-sync
```

Publish and run the migrations:

```
php artisan vendor:publish --tag=dbsync-migrations
php artisan migrate
```

---

Example usage
-------------

[](#example-usage)

### 1. Define an external connection

[](#1-define-an-external-connection)

In `config/database.php`:

```
'connections' => [
    'legacy_mysql' => [
        'driver'   => 'mysql',
        'host'     => '192.168.1.10',
        'database' => 'legacy_db',
        'username' => 'user',
        'password' => 'secret',
    ],
],
```

---

### 2. Fill package tables

[](#2-fill-package-tables)

#### `dbsync_connections`

[](#dbsync_connections)

idsource\_connectiontarget\_connection1legacy\_mysqlmysql---

#### `dbsync_tables`

[](#dbsync_tables)

idsource\_tabletarget\_tablemin\_recordsactivesource\_queryuse\_temporal\_tablebatch\_sizecopy\_strategyhas\_large\_text\_values\_in\_oracleprimary\_keyunique\_keysindexesconnection\_id1usersusers300truenulltrue1000nullfalsenullnullnull12rolesroles100truenullfalse500nullfalsenullnullnull12typestypes1truenullfalse500nullfalsenullnull\[\["name", "slug"\]\]1> Note on Composite Keys: The `unique_keys` and `indexes` fields must follow an "array of arrays" format: \[\["col1"\], \["col2", "col3"\]\].

---

#### `dbsync_columns`

[](#dbsync_columns)

Example columns for `users` table:

idmethodparametersmodifiers1idnullnull2string`["name"]``["nullable"]`3string`["email", 50]``["nullable", "unique"]`4boolean`["is_active"]``[{"method": "default", "parameters": [true]}]`5foreignId`["type_id"]``[{"method": "constrained", "parameters": ["user_types"]}]`> Note on modifiers: These can be arrays of strings or objects with the fields `method` and `params` if you need to pass parameters to the modifier. For example, passing the table name in the constrained modifier.

#### `dbsync_column_table`

[](#dbsync_column_table)

Example `users` columns:

idtable\_idcolumn\_idorder1111212221332144---

### 3. Run the sync

[](#3-run-the-sync)

Run all tables:

```
php artisan dbsync:run
```

Run a specific connection:

```
php artisan dbsync:run --connection=1
```

Run a specific table:

```
php artisan dbsync:run --table=2
```

Priority order when filtering:

1. table
2. connection

---

Synchronization strategies
--------------------------

[](#synchronization-strategies)

Each table defines **how it should be synchronized**.

### Drop & Recreate

[](#drop--recreate)

Drops the destination table and recreates it. Downtime occurs during the data insertion phase.

**Pros**

- Simple
- Fast

**Cons**

- Data is unavailable during the sync

Used when: `dbsync_tables.use_temporal_table = false`

---

### Temporal Table (recommended for large tables)

[](#temporal-table-recommended-for-large-tables)

- Creates a temporary table
- Loads all data into the temporary table
- Drops the original table
- Renames the temporary table

> Oracle Compatibility: This package automatically generates short, unique names (max 12 chars) for all indexes and constraints (e.g., unq\_a1b2c3d4). This prevents naming collisions and "Identifier too long" errors during the rename process in Oracle.

**Pros**

- Minimizes downtime
- Safer for large datasets

**Cons**

- It does not support self-referential fks

Used when: `dbsync_tables.use_temporal_table = true`

---

Memory & Performance Optimization (copy Strategy)
-----------------------------------------------------

[](#memory--performance-optimization-copy-strategy)

The package uses **streaming and chunk-based data processing** instead of loading entire collections into memory. This allows synchronizing very large tables even in memory-constrained environments (e.g., Docker containers).

Depending on the table structure and configuration, the package automatically selects the most efficient strategy to read data from the source.

> ⚠️ If, when populating the package's databases, you find large tables without primary keys or auto-incrementing values, you should consider filling the `dbsync_tables.copy_strategy` field to improve loading performance.

### Copy Execution Strategy

[](#copy-execution-strategy)

Data extraction is driven by a **strategy** system, which determines how rows are read from the source database.

The strategy is defined in the `dbsync_tables.copy_strategy` column as a JSON object:

KeyTypeDescription`type`stringExecution strategy: `chunkById`, `chunk`, or `cursor`.`column`stringColumn used for *ordering/chunking* (only required for chunk-based strategies)### Available Strategies

[](#available-strategies)

#### 1. `chunkById` (Recommended)

[](#1-chunkbyid-recommended)

- Uses incremental queries: `WHERE column > last_value`
- Requires a unique, non-null, indexed column
- Best balance between:
    - performance
    - scalability
    - reliability
- Example: `{ "type": "chunkById", "column": "id_user" }`

#### 2. `chunk`

[](#2-chunk)

- Uses `LIMIT + OFFSET` pagination with `ORDER BY`
- Works with any sortable column
- Slower on large datasets due to offset cost
- Example: `{ "type": "chunk", "column": "created_at" }`

#### 3. `cursor`

[](#3-cursor)

- Streams rows one by one using a database cursor
- Minimal memory usage
- No ordering or chunking required
- Example: `{ "type": "cursor"}`> ⚠️ This strategy keeps a long-lived database connection open during the entire process.
    >
    > It is very fast but may be less reliable in environments with strict timeouts, firewalls, or heavy transactional load.

### Strategy Resolution (Default Behavior)

[](#strategy-resolution-default-behavior)

The `copy_strategy` field is fully optional and flexible. Both `type` and `column` can be omitted, partially defined, or fully specified.

Depending on what is provided, the package resolves the execution strategy using the following rules:

#### 1. Explicit Strategy

[](#1-explicit-strategy)

If `type` is explicitly set to `cursor`, it is always used:

```
{ "type": "cursor" }
```

#### 2. Fully Defined Chunk Strategy

[](#2-fully-defined-chunk-strategy)

If both `type` and `column` are provided, the package uses them directly:

```
{ "type": "chunkById", "column": "id_user" }
```

```
{ "type": "chunk", "column": "created_at" }
```

> ⚠️ No validation is performed here — ensure the column is compatible with the selected strategy.

#### 3. Automatic Resolution

[](#3-automatic-resolution)

If the configuration is partial or not defined, the package applies automatic resolution.

> ##### 3.1 No configuration (`null`)
>
> [](#31-no-configuration-null)
>
> If `copy_strategy` is `null`, the system uses full auto-detection:
>
> 1. **Primary / Auto-increment / Unique key** → `chunkById`
> 2. **Fallback** → `cursor`
>
> ##### 3.2 Only `type` is defined
>
> [](#32-only-type-is-defined)
>
> ###### 3.2.1 `type = chunkById`
>
> [](#321-type--chunkbyid)
>
> The package attempts to resolve the best column using:
>
> 1. Primary / auto-increment column
> 2. Unique non-null column
> 3. If none is found, it falls back to `cursor`
>
> ###### 3.2.2 `type = chunk`
>
> [](#322-type--chunk)
>
> The package resolves a column using:
>
> 1. Timestamp columns (e.g., `created_at`)
> 2. First column of a composite primary key (if defined)
> 3. First column in the table definition
>
> ##### 3.2 Only `column` is defined
>
> [](#32-only-column-is-defined)
>
> The package evaluates the column and determines the best strategy:
>
> - If the column is `unique and non-null` → `chunkById`
> - Otherwise → `cursor`

##### Summary

[](#summary)

ConfigurationResult`{ "type": "cursor" }`Always uses `cursor``{ "type": "...", "column": "..." }`Fully manual`null`Auto (`chunkById` → `cursor`)`{ "type": "chunkById" }`Auto column for `chunkById` or fallback `cursor``{ "type": "chunk" }`Auto column for `chunk``{ "column": "..." }`Auto strategy based on column### Recommendation

[](#recommendation)

- Use `chunkById` + **column** when possible (best performance and stability)
- Use `cursor` when:
    - no suitable column exists
    - working with complex queries
- Use partial configs only if you understand the fallback behavior

### When to Configure the Strategy Manually

[](#when-to-configure-the-strategy-manually)

In most cases, the automatic resolution works well. However, manual configuration is recommended in the following scenarios:

- The table has no primary key or suitable unique index → Use `cursor` or explicitly define a column
- You know a specific column that provides optimal performance → Define both `type` and `column` to avoid auto-detection
- You are working with complex queries or subqueries → Use `cursor` to avoid unreliable ordering or chunking issues
- You want to **control how data is processed** (performance vs reliability trade-offs)→ Override the default behavior with a specific strategy
- You experience **timeouts, long-running connections, or instability** → Switch between `cursor` and chunk-based strategies depending on your environment

---

Column Sources & Virtual Columns (Advanced)
-----------------------------------------------

[](#column-sources--virtual-columns-advanced)

Each column can define **where its value comes from** using the `source` and `source_config` fields.

This allows you to mix:

- Data coming from the source database
- Values generated at runtime

### `source` column

[](#source-column)

Defines the origin of the column value:

ValueDescriptiontableValue is read from the source database (default behavior)virtualValue is generated during the sync process and not selected from the source### `source_config` column

[](#source_config-column)

Optional JSON field used when `source = virtual`.

Currently supported:

```
{ "type": "uuid" }
```

```
{ "type": "ulid" }
```

### Example

[](#example)

methodparameterssourcesource\_configidnulltablenullstring\["name"\]tablenulluuid\["virtual\_id"\]virtualnulluuid\["virtual\_uuid"\]virtual{"type": "uuid"}### Behavior

[](#behavior)

- Columns with `source = table`:
    - Are included in the SELECT query
    - Must exist in the source table or query
- Columns with `source = virtual`:
    - Are NOT included in the SELECT query
    - Are generated during row processing
    - If `source_config` is null, the column will be ignored during insertion. This means that the database must have a default value, such as an auto-incrementing ID.
    - If `source_config.type` is defined, the system will attempt to generate the value at runtime based on the specified type (e.g., `uuid` or `ulid`).

### Important Notes

[](#important-notes)

- Virtual columns are generated **per row during sync**
- If a column is not selected and not generated, it will not be inserted
- Virtual values **do not overwrite existing values** if already present in the dataset (e.g. when using `source_query`)
- This mechanism allows defining **columns that exist only in the destination schema**

### When to use this

[](#when-to-use-this)

Use virtual columns when:

- You need to generate UUID/ULID identifiers or other columns with default values (like auto-increment IDs or timestamps) that do not exist in the source
- The source system does not provide a required column
- You want to enrich incoming data without modifying the source query

---

Data Insertion Mode
-------------------

[](#data-insertion-mode)

By default, the package uses **bulk inserts** for maximum performance. This is the fastest and recommended approach in virtually all cases.

However, when synchronizing to **Oracle**, you might encounter specific errors if very large text values are present in `text`, `mediumText`, or `longText` columns.

To handle those edge cases, you can enable row-by-row insertion for a specific table using the `has_large_text_values_in_oracle` field in `dbsync_tables`.

ValueBehaviorfalse (default)Uses bulk inserts (fastest option).trueForces row-by-row insertion inside a transaction (safer but slower).> ⚠️ This option should only be enabled if you experience Oracle errors during data insertion.
>
> It is not recommended for normal usage because it reduces insertion performance.

---

Important Constraints
---------------------

[](#important-constraints)

### 1. Self-Referencing Foreign Keys

[](#1-self-referencing-foreign-keys)

The `temporal_table` strategy is not available if a table has self-referential foreign keys. For example, if the `comments` table has the foreign key `comment_id`.

- You must set `self_referencing = true` in the `dbsync_columns` record.
- Otherwise, the system will attempt to check the table name based on the column data to detect if it is a self-referential foreign key.
- If it is detected as a self-referencing foreign key (either automatically or by the `self_referencing` field) and the use\_temporal\_table field is `true`, the synchronization will throw an error.

### 2. Forbidden Methods in Columns

[](#2-forbidden-methods-in-columns)

In `dbsync_columns`, the method field must only contain data types (*string*, *integer*, etc.).

- Do not use `primary`, `unique`, `index`, or `foreign` as a `method`.
- Use modifiers for single-column constraints or the `dbsync_tables` fields for composite constraints.

### 3. Oracle Data Types and ORA-01790

[](#3-oracle-data-types-and-ora-01790)

When synchronizing to Oracle, you might encounter the following error during the data copy phase:

```
ORA-01790: expression must have same datatype as corresponding expression
-- OR
ORA-01704: string literal too long
```

This happens when Laravel generates a bulk insert and Oracle internally interprets some values as `CLOB` while others are treated as `VARCHAR2`, typically when very large text values are involved.

If you are certain that:

- The schema is correct
- The affected columns are defined as `text`, `mediumText`, or `longText`
- The error occurs during the data copy phase

Then you can enable row-by-row insertion for that specific table:

```
dbsync_tables.has_large_text_values_in_oracle = true
```

This forces each record to be inserted individually inside a transaction, ensuring proper bind variable handling and avoiding Oracle type mismatch issues.

> ⚠️ This setting should only be used when necessary, as it reduces insertion performance compared to bulk inserts.

---

Package tables and their meaning
--------------------------------

[](#package-tables-and-their-meaning)

### `dbsync_connections`

[](#dbsync_connections-1)

Defines **source and target Laravel connections**.

FieldDescriptionTypeExamplesource\_connectionConnection name for the origin`(string)`*oracle*target\_connectionConnection name for the destination`(string)`*mysql*activeEnables or disables this connection`(bool)`*true*---

### `dbsync_tables`

[](#dbsync_tables-1)

Defines **what to sync and how**.

FieldDescriptionTypeExamplesource\_tableSource table name(string)*user*target\_tableDestination table name(string)*user*min\_recordsMinimum number of records required for the sync to be considered successful(int)*1*activeEnables or disables synchronization for this table(bool)*true*source\_queryOptional custom SELECT(string)*select...*use\_temporal\_tableEnables temporal strategy(bool)*true*batch\_sizeInsert chunk size(int)*500*copy\_strategyOptional JSON to force a specific copy strategy.(int)`{"type": "chunkById", "column": "id_user"}`has\_large\_text\_values\_in\_oracleForces row-by-row insertion instead of bulk (use only if needed, mainly for Oracle edge cases)(bool)*false*primary\_key\* Primary key definition(array)`["user_id", "rol_id"]`unique\_keys\* Unique constraints(array)`[["name", "type"]]`indexes\* Index definitions(array)`[["name", "description"]]`connection\_idReference to the connection used by this table(int)*1*> The `primary_key`, `unique_keys`, and `indexes` fields are only required when using composite keys. Otherwise, they must be defined in the `modifiers` field of the `dbsync_columns` table.
>
> #### IMPORTANT: The format of these fields (`unique_keys`, and `indexes`) is an "array of arrays". Otherwise, the execution will throw an error.
>
> [](#important-the-format-of-these-fields-unique_keys-and-indexes-is-an-array-of-arrays-otherwise-the-execution-will-throw-an-error)

---

### `dbsync_columns`

[](#dbsync_columns-1)

Defines **table structure using Laravel schema semantics**.

FieldDescriptionTypeExamplemethodBlueprint method(string)*string*, *integer*, *decimal*, *foreignId*, *etc*.parametersMethod parameters(array)`["name", 100]` || `["user_id"]`, *etc*.modifiersColumn modifiers(array)`["nullable", "unique"]` || `[{"method": "constrained", "parameters": ["user_id"]}]`, *etc*.sourceDefines where the column value comes from (`table` or `virtual`)(string)*table* / *virtual*source\_configOptional JSON configuration for virtual columns (e.g. `{ "type": "uuid" }`)(json)*{"type":"uuid"}*self\_referencingIndicates whether the foreign key references the table itself. For example, `comment_id` in `comments`.(bool)*true*case\_transformOptional transformation applied to the column value during sync. Accepts `upper`, `lower`, or any helper provided by the package.(string)*upper* | *lower* | *null\_if\_empty*codeThis column does nothing during synchronization. It's only there to help populate the `dbsync_column_table` table with IDs more easily.(string)*user1*> **Available values for `case_transform`:**
>
> ValueBehavior`upper`Converts the value to uppercase using `mb_strtoupper()``lower`Converts the value to lowercase using `mb_strtolower()``null_if_empty`Converts empty strings to `null` (provided by this package's helper)Any unrecognized value leaves the original data unchanged.

---

### `dbsync_column_table`

[](#dbsync_column_table-1)

Defines the **relationship and ordering between tables and their columns**.

This pivot table determines **which columns belong to each synchronized table and in what order they are created**.

FieldDescriptiontable\_idReference to the synchronized table (`dbsync_tables`)column\_idReference to the column definition (`dbsync_columns`)orderPosition of the column within the table schema definition---

Logs and failure handling
-------------------------

[](#logs-and-failure-handling)

### `dbsync_table_runs`

[](#dbsync_table_runs)

Every execution is logged. You can monitor:

- **Status:** `running`, `success`, or `failed`
- **Rows copied:** Precise count of processed records.
- **Times:** Start and finish timestamps
- **Error:** Full stack trace and error message in case of failure.

Key behaviors:

- Each table runs independently
- A failure does **not** stop other tables

This makes the process safe for long-running and large imports.

---

Schema Utilities
----------------

[](#schema-utilities)

This package provides a `DbsyncSchema` facade, allowing you to perform structural operations safely across different database engines by automatically handling foreign key constraints and driver-specific behaviors.

### Basic Usage

[](#basic-usage)

```
use Thehouseofel\Dbsync\Facades\DbsyncSchema;

// Safely drop a table (handles CASCADE in Oracle/Postgres/SQL Server)
DbsyncSchema::forceDrop('users');

// Truncate one or multiple tables and reset auto-incrementing IDs/Sequences
DbsyncSchema::truncate(['users', 'profiles', 'posts']);
```

### Working with Connections

[](#working-with-connections)

If you are working with multiple databases, you can switch the connection fluently:

```
use Thehouseofel\Dbsync\Facades\DbsyncSchema;

DbsyncSchema::connection('oracle_external')->forceDrop('legacy_table');
```

### Important Note on Truncate & Foreign Keys

[](#important-note-on-truncate--foreign-keys)

When truncating tables with active relationships, you must include all related tables in the same array.

The `truncate` method disables foreign key constraints before the process and re-enables them after all specified tables have been cleared. If you truncate a child table but leave data in the parent table (or vice-versa), the database will throw an error when re-enabling constraints due to referential integrity violations.

- Correct: `DbsyncSchema::truncate(['users', 'comments'])`; (Both sides of the FK are cleared).
- Incorrect: `DbsyncSchema::truncate(['comments'])`; (If users table still has data, re-enabling keys may fail).

### Supported Methods

[](#supported-methods)

MethodDescription`forceDrop(string $table)`Drops the table ignoring integrity constraints. It uses `CASCADE CONSTRAINTS` in *Oracle*, **CASCADE** in *PostgreSQL*, and manual foreign key cleanup in *SQL Server*.`truncate(array $tables)`Vacuums the specified tables and resets identity counters. It manages the disabling/enabling of constraints globally for the provided set of tables.`connection(string|Connection $connection)`Sets the database connection for the subsequent operations.Driver Compatibility
--------------------

[](#driver-compatibility)

The package is currently in **Beta**. While the logic is implemented for all major drivers, the level of testing varies:

DriverStatusNotes**MySQL / MariaDB**✅ TestedFully functional.**SQLite**✅ TestedFully functional.**Oracle (12c+)**✅ TestedVerified using Identity Columns (standard since 12c).**PostgreSQL**⚠️ BetaLogic implemented but pending full integration tests.**SQL Server**⚠️ BetaLogic implemented but pending full integration tests.> **Beta Disclaimer:** While the core logic is implemented for all drivers, please proceed with caution when using this package in production environments with `Postgres` or `SQL Server`, as they are still undergoing full verification. We highly encourage testing in these environments! If you encounter any issues or wish to contribute, please open an issue or submit a PR.

---

License
-------

[](#license)

`laravel-db-sync` is an open-sourced software licensed under the **[MPL-2.0](https://opensource.org/licenses/MPL-2.0)**.

###  Health Score

39

—

LowBetter than 84% of packages

Maintenance91

Actively maintained with recent releases

Popularity9

Limited adoption so far

Community6

Small or concentrated contributor base

Maturity42

Maturing project, gaining track record

 Bus Factor1

Top contributor holds 100% of commits — single point of failure

How is this calculated?**Maintenance (25%)** — Last commit recency, latest release date, and issue-to-star ratio. Uses a 2-year decay window.

**Popularity (30%)** — Total and monthly downloads, GitHub stars, and forks. Logarithmic scaling prevents top-heavy scores.

**Community (15%)** — Contributors, dependents, forks, watchers, and maintainers. Measures real ecosystem engagement.

**Maturity (30%)** — Project age, version count, PHP version support, and release stability.

###  Release Activity

Cadence

Every ~8 days

Recently: every ~20 days

Total

16

Last Release

42d ago

### Community

Maintainers

![](https://avatars.githubusercontent.com/u/43579076?v=4)[kalel1500](/maintainers/kalel1500)[@kalel1500](https://github.com/kalel1500)

---

Top Contributors

[![kalel1500](https://avatars.githubusercontent.com/u/43579076?v=4)](https://github.com/kalel1500 "kalel1500 (160 commits)")

---

Tags

laravelpackagedatabaseloaderdbsyncdbsync

###  Code Quality

TestsPHPUnit

### Embed Badge

![Health badge](/badges/kalel1500-laravel-db-sync/health.svg)

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[![Health](https://phpackages.com/badges/kalel1500-laravel-db-sync/health.svg)](https://phpackages.com/packages/kalel1500-laravel-db-sync)
```

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