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Devour Database Synchronization Library

$sync = newDevour\Synchronizer();
$table = newDevour\Mapping('events');
$table->addKey('id')
$table->setSource('evmas');
$table->setParam('tracker_limit', date('Y-m-d', strtotime('-1 year')));
$table->addJoin('vendor', 'firm', ['vendor = firm.id']);
$table->addField('id', 'evmas.control');
$table->addFilter('highlights', 'evmas.majordesc');
$table->addWhere("exclude_from_catalog != 'Y'");
$table->addWhere("end_date >= '{{ tracker_limit }}'");
$sync->addTable($table);
$sync->run('events')

CSV Source Imports

Use Devour\Importer for file workflows. It extends Synchronizer, uses a single database connection for both source and destination, and stages file data in the destination database through a pluggable file driver.

$sync = newDevour\Importer($database);
$mapping = newDevour\Mapping('placeholder', 'events', 'id');
$mapping
->setFileConfig('csv', [
'path' => '/path/to/events.csv',
'header' => true,
'delimiter' => ',',
'enclosure' => '"',
'escape' => '\\',
'alias' => 'csvsrc'
])
->addField('id', 'csvsrc.id')
->addField('title', 'csvsrc.title')
->addField('start_date', 'csvsrc.start_date')
->addWhere('csvsrc.id IS NOT NULL')
;
$sync->addMapping($mapping);
$sync->runWithDriver(newDevour\CsvDriver(), ['events']);

Example with explicit columns definitions:

$mapping->setFileConfig('csv', [
'path' => '/path/to/events.csv',
'header' => true,
'alias' => 'csvsrc',
'columns' => [
'id' => 'integer',
'title' => 'text',
'start_date' => 'date',
'price' => 'numeric(10,2)'
]
]);

Example .jin mapping for CSV imports (recommended persistent = true):

[devour.map]target = events
key = id
source = csvsrc
persistent = true
fields = {
"id" : "csvsrc.id",
"title" : "csvsrc.title",
"start_date" : "csvsrc.start_date"
}
[&.csv]
path = env('EVENTS_CSV', '/path/to/events.csv')
header = true
delimiter = ","enclosure = "\"" escape = "\\" alias = "csvsrc"

Custom file drivers can implement Devour\FileDriver and be passed to Devour\Importer::runWithDriver() in place of Devour\CsvDriver.

Notes:

  • CSV data is materialized into a temporary staging table on the destination database before synchronization.
  • Importer accepts a generic file driver at runtime via runWithDriver(FileDriver $driver, ...); CsvDriver is the default implementation for CSV imports.
  • Mapping is file-driver agnostic; provide file settings with setFileConfig('<type>', [...]).
  • For CSV imports, you can optionally pass columns in setFileConfig('csv', ...) to control temporary table column definitions.
  • CSV mapping joins execute on the destination database, so join targets must be destination-accessible tables.
  • IMPORTANT: set CSV mappings as persistent (setPersistent(true) in PHP or persistent = true in .jin) if you need to preserve existing destination rows not present in the CSV.
    • If persistent is not set, normal sync delete behavior can remove destination rows that do not appear in the current CSV import.

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SQL database synchronizer

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