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Update import scripts, working through categories

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This commit is contained in:
Matt
2025-02-14 13:30:14 -05:00
parent cc22fd8c35
commit 9623681a15
6 changed files with 928 additions and 1106 deletions
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490
inventory-server/scripts/import/orders.js
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@@ -2,7 +2,7 @@ const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate } =
const { importMissingProducts, setupTemporaryTables, cleanupTemporaryTables, materializeCalculations } = require('./products');
/**
* Imports orders from a production MySQL database to a local MySQL database.
* Imports orders from a production MySQL database to a local PostgreSQL database.
* It can run in two modes:
* 1. Incremental update mode (default): Only fetch orders that have changed since the last sync time.
* 2. Full update mode: Fetch all eligible orders within the last 5 years regardless of timestamp.
@@ -23,93 +23,18 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
let importedCount = 0;
let totalOrderItems = 0;
let totalUniqueOrders = 0;
// Add a cumulative counter for processed orders before the loop
let cumulativeProcessedOrders = 0;
try {
// Clean up any existing temp tables first
await localConnection.query(`
DROP TEMPORARY TABLE IF EXISTS temp_order_items;
DROP TEMPORARY TABLE IF EXISTS temp_order_meta;
DROP TEMPORARY TABLE IF EXISTS temp_order_discounts;
DROP TEMPORARY TABLE IF EXISTS temp_order_taxes;
DROP TEMPORARY TABLE IF EXISTS temp_order_costs;
`);
// Create all temp tables with correct schema
await localConnection.query(`
CREATE TEMPORARY TABLE temp_order_items (
order_id INT UNSIGNED NOT NULL,
pid INT UNSIGNED NOT NULL,
SKU VARCHAR(50) NOT NULL,
price DECIMAL(10,2) NOT NULL,
quantity INT NOT NULL,
base_discount DECIMAL(10,2) DEFAULT 0,
PRIMARY KEY (order_id, pid)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
`);
await localConnection.query(`
CREATE TEMPORARY TABLE temp_order_meta (
order_id INT UNSIGNED NOT NULL,
date DATE NOT NULL,
customer VARCHAR(100) NOT NULL,
customer_name VARCHAR(150) NOT NULL,
status INT,
canceled TINYINT(1),
summary_discount DECIMAL(10,2) DEFAULT 0.00,
summary_subtotal DECIMAL(10,2) DEFAULT 0.00,
PRIMARY KEY (order_id)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
`);
await localConnection.query(`
CREATE TEMPORARY TABLE temp_order_discounts (
order_id INT UNSIGNED NOT NULL,
pid INT UNSIGNED NOT NULL,
discount DECIMAL(10,2) NOT NULL,
PRIMARY KEY (order_id, pid)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
`);
await localConnection.query(`
CREATE TEMPORARY TABLE temp_order_taxes (
order_id INT UNSIGNED NOT NULL,
pid INT UNSIGNED NOT NULL,
tax DECIMAL(10,2) NOT NULL,
PRIMARY KEY (order_id, pid)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
`);
await localConnection.query(`
CREATE TEMPORARY TABLE temp_order_costs (
order_id INT UNSIGNED NOT NULL,
pid INT UNSIGNED NOT NULL,
costeach DECIMAL(10,3) DEFAULT 0.000,
PRIMARY KEY (order_id, pid)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
`);
// Get column names from the local table
const [columns] = await localConnection.query(`
SELECT COLUMN_NAME
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = 'orders'
AND COLUMN_NAME != 'updated' -- Exclude the updated column
ORDER BY ORDINAL_POSITION
`);
const columnNames = columns.map(col => col.COLUMN_NAME);
// Get last sync info
const [syncInfo] = await localConnection.query(
"SELECT last_sync_timestamp FROM sync_status WHERE table_name = 'orders'"
);
const lastSyncTime = syncInfo?.[0]?.last_sync_timestamp || '1970-01-01';
const lastSyncTime = syncInfo?.rows?.[0]?.last_sync_timestamp || '1970-01-01';
console.log('Orders: Using last sync time:', lastSyncTime);
// First get count of order items
// First get count of order items - Keep MySQL compatible for production
const [[{ total }]] = await prodConnection.query(`
SELECT COUNT(*) as total
FROM order_items oi
@@ -141,7 +66,7 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
totalOrderItems = total;
console.log('Orders: Found changes:', totalOrderItems);
// Get order items in batches
// Get order items - Keep MySQL compatible for production
const [orderItems] = await prodConnection.query(`
SELECT
oi.order_id,
@@ -179,10 +104,64 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
console.log('Orders: Processing', orderItems.length, 'order items');
// Create temporary tables in PostgreSQL
await localConnection.query(`
DROP TABLE IF EXISTS temp_order_items;
DROP TABLE IF EXISTS temp_order_meta;
DROP TABLE IF EXISTS temp_order_discounts;
DROP TABLE IF EXISTS temp_order_taxes;
DROP TABLE IF EXISTS temp_order_costs;
CREATE TEMP TABLE temp_order_items (
order_id INTEGER NOT NULL,
pid INTEGER NOT NULL,
SKU VARCHAR(50) NOT NULL,
price DECIMAL(10,2) NOT NULL,
quantity INTEGER NOT NULL,
base_discount DECIMAL(10,2) DEFAULT 0,
PRIMARY KEY (order_id, pid)
);
CREATE TEMP TABLE temp_order_meta (
order_id INTEGER NOT NULL,
date DATE NOT NULL,
customer VARCHAR(100) NOT NULL,
customer_name VARCHAR(150) NOT NULL,
status INTEGER,
canceled BOOLEAN,
summary_discount DECIMAL(10,2) DEFAULT 0.00,
summary_subtotal DECIMAL(10,2) DEFAULT 0.00,
PRIMARY KEY (order_id)
);
CREATE TEMP TABLE temp_order_discounts (
order_id INTEGER NOT NULL,
pid INTEGER NOT NULL,
discount DECIMAL(10,2) NOT NULL,
PRIMARY KEY (order_id, pid)
);
CREATE TEMP TABLE temp_order_taxes (
order_id INTEGER NOT NULL,
pid INTEGER NOT NULL,
tax DECIMAL(10,2) NOT NULL,
PRIMARY KEY (order_id, pid)
);
CREATE TEMP TABLE temp_order_costs (
order_id INTEGER NOT NULL,
pid INTEGER NOT NULL,
costeach DECIMAL(10,3) DEFAULT 0.000,
PRIMARY KEY (order_id, pid)
);
`);
// Insert order items in batches
for (let i = 0; i < orderItems.length; i += 5000) {
const batch = orderItems.slice(i, Math.min(i + 5000, orderItems.length));
const placeholders = batch.map(() => "(?, ?, ?, ?, ?, ?)").join(",");
const placeholders = batch.map((_, idx) =>
`($${idx * 6 + 1}, $${idx * 6 + 2}, $${idx * 6 + 3}, $${idx * 6 + 4}, $${idx * 6 + 5}, $${idx * 6 + 6})`
).join(",");
const values = batch.flatMap(item => [
item.order_id, item.pid, item.SKU, item.price, item.quantity, item.base_discount
]);
@@ -190,11 +169,11 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
await localConnection.query(`
INSERT INTO temp_order_items (order_id, pid, SKU, price, quantity, base_discount)
VALUES ${placeholders}
ON DUPLICATE KEY UPDATE
SKU = VALUES(SKU),
price = VALUES(price),
quantity = VALUES(quantity),
base_discount = VALUES(base_discount)
ON CONFLICT (order_id, pid) DO UPDATE SET
SKU = EXCLUDED.SKU,
price = EXCLUDED.price,
quantity = EXCLUDED.quantity,
base_discount = EXCLUDED.base_discount
`, values);
processedCount = i + batch.length;
@@ -215,11 +194,10 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
// Reset processed count for order processing phase
processedCount = 0;
// Get order metadata in batches
// Get order metadata in batches - Keep MySQL compatible for production
for (let i = 0; i < orderIds.length; i += 5000) {
const batchIds = orderIds.slice(i, i + 5000);
console.log(`Processing batch ${i/5000 + 1}, size: ${batchIds.length}`);
console.log('Sample of batch IDs:', batchIds.slice(0, 5));
const [orders] = await prodConnection.query(`
SELECT
@@ -235,48 +213,40 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
LEFT JOIN users u ON o.order_cid = u.cid
WHERE o.order_id IN (?)
`, [batchIds]);
console.log(`Retrieved ${orders.length} orders for ${batchIds.length} IDs`);
const duplicates = orders.filter((order, index, self) =>
self.findIndex(o => o.order_id === order.order_id) !== index
);
if (duplicates.length > 0) {
console.log('Found duplicates:', duplicates);
// Insert into PostgreSQL temp table
if (orders.length > 0) {
const placeholders = orders.map((_, idx) =>
`($${idx * 8 + 1}, $${idx * 8 + 2}, $${idx * 8 + 3}, $${idx * 8 + 4}, $${idx * 8 + 5}, $${idx * 8 + 6}, $${idx * 8 + 7}, $${idx * 8 + 8})`
).join(",");
const values = orders.flatMap(order => [
order.order_id,
order.date,
order.customer,
order.customer_name,
order.status,
order.canceled,
order.summary_discount,
order.summary_subtotal
]);
await localConnection.query(`
INSERT INTO temp_order_meta (
order_id, date, customer, customer_name, status, canceled,
summary_discount, summary_subtotal
)
VALUES ${placeholders}
ON CONFLICT (order_id) DO UPDATE SET
date = EXCLUDED.date,
customer = EXCLUDED.customer,
customer_name = EXCLUDED.customer_name,
status = EXCLUDED.status,
canceled = EXCLUDED.canceled,
summary_discount = EXCLUDED.summary_discount,
summary_subtotal = EXCLUDED.summary_subtotal
`, values);
}
const placeholders = orders.map(() => "(?, ?, ?, ?, ?, ?, ?, ?)").join(",");
const values = orders.flatMap(order => [
order.order_id,
order.date,
order.customer,
order.customer_name,
order.status,
order.canceled,
order.summary_discount,
order.summary_subtotal
]);
await localConnection.query(`
INSERT INTO temp_order_meta (
order_id,
date,
customer,
customer_name,
status,
canceled,
summary_discount,
summary_subtotal
) VALUES ${placeholders}
ON DUPLICATE KEY UPDATE
date = VALUES(date),
customer = VALUES(customer),
customer_name = VALUES(customer_name),
status = VALUES(status),
canceled = VALUES(canceled),
summary_discount = VALUES(summary_discount),
summary_subtotal = VALUES(summary_subtotal)
`, values);
processedCount = i + orders.length;
outputProgress({
status: "running",
@@ -287,10 +257,7 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
});
}
// Reset processed count for final phase
processedCount = 0;
// Get promotional discounts in batches
// Process promotional discounts in batches - Keep MySQL compatible for production
for (let i = 0; i < orderIds.length; i += 5000) {
const batchIds = orderIds.slice(i, i + 5000);
const [discounts] = await prodConnection.query(`
@@ -301,18 +268,21 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
`, [batchIds]);
if (discounts.length > 0) {
const placeholders = discounts.map(() => "(?, ?, ?)").join(",");
const placeholders = discounts.map((_, idx) =>
`($${idx * 3 + 1}, $${idx * 3 + 2}, $${idx * 3 + 3})`
).join(",");
const values = discounts.flatMap(d => [d.order_id, d.pid, d.discount]);
await localConnection.query(`
INSERT INTO temp_order_discounts VALUES ${placeholders}
ON DUPLICATE KEY UPDATE
discount = VALUES(discount)
INSERT INTO temp_order_discounts (order_id, pid, discount)
VALUES ${placeholders}
ON CONFLICT (order_id, pid) DO UPDATE SET
discount = EXCLUDED.discount
`, values);
}
}
// Get tax information in batches
// Get tax information in batches - Keep MySQL compatible for production
for (let i = 0; i < orderIds.length; i += 5000) {
const batchIds = orderIds.slice(i, i + 5000);
const [taxes] = await prodConnection.query(`
@@ -331,7 +301,6 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
`, [batchIds]);
if (taxes.length > 0) {
// Remove any duplicates before inserting
const uniqueTaxes = new Map();
taxes.forEach(t => {
const key = `${t.order_id}-${t.pid}`;
@@ -340,16 +309,21 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
const values = Array.from(uniqueTaxes.values()).flatMap(t => [t.order_id, t.pid, t.tax]);
if (values.length > 0) {
const placeholders = Array(uniqueTaxes.size).fill("(?, ?, ?)").join(",");
const placeholders = Array.from({length: uniqueTaxes.size}, (_, idx) => {
const base = idx * 3;
return `($${base + 1}, $${base + 2}, $${base + 3})`;
}).join(",");
await localConnection.query(`
INSERT INTO temp_order_taxes VALUES ${placeholders}
ON DUPLICATE KEY UPDATE tax = VALUES(tax)
INSERT INTO temp_order_taxes (order_id, pid, tax)
VALUES ${placeholders}
ON CONFLICT (order_id, pid) DO UPDATE SET
tax = EXCLUDED.tax
`, values);
}
}
}
// Get costeach values in batches
// Get costeach values in batches - Keep MySQL compatible for production
for (let i = 0; i < orderIds.length; i += 5000) {
const batchIds = orderIds.slice(i, i + 5000);
const [costs] = await prodConnection.query(`
@@ -370,24 +344,27 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
`, [batchIds]);
if (costs.length > 0) {
const placeholders = costs.map(() => '(?, ?, ?)').join(",");
const placeholders = costs.map((_, idx) =>
`($${idx * 3 + 1}, $${idx * 3 + 2}, $${idx * 3 + 3})`
).join(",");
const values = costs.flatMap(c => [c.order_id, c.pid, c.costeach || 0]);
await localConnection.query(`
INSERT INTO temp_order_costs (order_id, pid, costeach)
VALUES ${placeholders}
ON DUPLICATE KEY UPDATE costeach = VALUES(costeach)
ON CONFLICT (order_id, pid) DO UPDATE SET
costeach = EXCLUDED.costeach
`, values);
}
}
// Now combine all the data and insert into orders table
// Pre-check all products at once instead of per batch
// Pre-check all products at once
const allOrderPids = [...new Set(orderItems.map(item => item.pid))];
const [existingProducts] = allOrderPids.length > 0 ? await localConnection.query(
"SELECT pid FROM products WHERE pid IN (?)",
"SELECT pid FROM products WHERE pid = ANY($1)",
[allOrderPids]
) : [[]];
const existingPids = new Set(existingProducts.map(p => p.pid));
const existingPids = new Set(existingProducts.rows.map(p => p.pid));
// Process in larger batches
for (let i = 0; i < orderIds.length; i += 5000) {
@@ -410,7 +387,7 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
ELSE 0
END as discount,
COALESCE(ot.tax, 0) as tax,
0 as tax_included,
false as tax_included,
0 as shipping,
om.customer,
om.customer_name,
@@ -422,61 +399,86 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
LEFT JOIN temp_order_discounts od ON oi.order_id = od.order_id AND oi.pid = od.pid
LEFT JOIN temp_order_taxes ot ON oi.order_id = ot.order_id AND oi.pid = ot.pid
LEFT JOIN temp_order_costs tc ON oi.order_id = tc.order_id AND oi.pid = tc.pid
WHERE oi.order_id IN (?)
WHERE oi.order_id = ANY($1)
`, [batchIds]);
// Filter orders and track missing products - do this in a single pass
// Filter orders and track missing products
const validOrders = [];
const values = [];
const processedOrderItems = new Set(); // Track unique order items
const processedOrders = new Set(); // Track unique orders
const processedOrderItems = new Set();
const processedOrders = new Set();
for (const order of orders) {
for (const order of orders.rows) {
if (!existingPids.has(order.pid)) {
missingProducts.add(order.pid);
skippedOrders.add(order.order_number);
continue;
}
validOrders.push(order);
values.push(...columnNames.map(col => order[col] ?? null));
processedOrderItems.add(`${order.order_number}-${order.pid}`);
processedOrders.add(order.order_number);
}
if (validOrders.length > 0) {
// Pre-compute the placeholders string once
const singlePlaceholder = `(${columnNames.map(() => "?").join(",")})`;
const placeholders = Array(validOrders.length).fill(singlePlaceholder).join(",");
const placeholders = validOrders.map((_, idx) => {
const base = idx * 15;
return `($${base + 1}, $${base + 2}, $${base + 3}, $${base + 4}, $${base + 5}, $${base + 6}, $${base + 7}, $${base + 8}, $${base + 9}, $${base + 10}, $${base + 11}, $${base + 12}, $${base + 13}, $${base + 14}, $${base + 15})`;
}).join(',');
const values = validOrders.flatMap(o => [
o.order_number,
o.pid,
o.SKU,
o.date,
o.price,
o.quantity,
o.discount,
o.tax,
o.tax_included,
o.shipping,
o.customer,
o.customer_name,
o.status,
o.canceled,
o.costeach
]);
const [result] = await localConnection.query(`
WITH inserted_orders AS (
INSERT INTO orders (
order_number, pid, SKU, date, price, quantity, discount,
tax, tax_included, shipping, customer, customer_name,
status, canceled, costeach
)
VALUES ${placeholders}
ON CONFLICT (order_number, pid) DO UPDATE SET
SKU = EXCLUDED.SKU,
date = EXCLUDED.date,
price = EXCLUDED.price,
quantity = EXCLUDED.quantity,
discount = EXCLUDED.discount,
tax = EXCLUDED.tax,
tax_included = EXCLUDED.tax_included,
shipping = EXCLUDED.shipping,
customer = EXCLUDED.customer,
customer_name = EXCLUDED.customer_name,
status = EXCLUDED.status,
canceled = EXCLUDED.canceled,
costeach = EXCLUDED.costeach
RETURNING xmax, xmin
)
SELECT
COUNT(*) FILTER (WHERE xmax = 0) as inserted,
COUNT(*) FILTER (WHERE xmax <> 0) as updated
FROM inserted_orders
`, values);
const result = await localConnection.query(`
INSERT INTO orders (${columnNames.join(",")})
VALUES ${placeholders}
ON DUPLICATE KEY UPDATE
SKU = VALUES(SKU),
date = VALUES(date),
price = VALUES(price),
quantity = VALUES(quantity),
discount = VALUES(discount),
tax = VALUES(tax),
tax_included = VALUES(tax_included),
shipping = VALUES(shipping),
customer = VALUES(customer),
customer_name = VALUES(customer_name),
status = VALUES(status),
canceled = VALUES(canceled),
costeach = VALUES(costeach)
`, validOrders.map(o => columnNames.map(col => o[col] ?? null)).flat());
const affectedRows = result[0].affectedRows;
const updates = Math.floor(affectedRows / 2);
const inserts = affectedRows - (updates * 2);
recordsAdded += inserts;
recordsUpdated += updates;
importedCount += processedOrderItems.size; // Count unique order items processed
const { inserted, updated } = result.rows[0];
recordsAdded += inserted;
recordsUpdated += updated;
importedCount += processedOrderItems.size;
}
// Update progress based on unique orders processed
cumulativeProcessedOrders += processedOrders.size;
outputProgress({
status: "running",
@@ -490,123 +492,21 @@ async function importOrders(prodConnection, localConnection, incrementalUpdate =
});
}
// Now try to import any orders that were skipped due to missing products
if (skippedOrders.size > 0) {
try {
outputProgress({
status: "running",
operation: "Orders import",
message: `Retrying import of ${skippedOrders.size} orders with previously missing products`,
});
// Get the orders that were skipped
const [skippedProdOrders] = await localConnection.query(`
SELECT DISTINCT
oi.order_id as order_number,
oi.pid,
oi.SKU,
om.date,
oi.price,
oi.quantity,
oi.base_discount + COALESCE(od.discount, 0) +
CASE
WHEN o.summary_discount > 0 THEN
ROUND((o.summary_discount * (oi.price * oi.quantity)) /
NULLIF(o.summary_subtotal, 0), 2)
ELSE 0
END as discount,
COALESCE(ot.tax, 0) as tax,
0 as tax_included,
0 as shipping,
om.customer,
om.customer_name,
om.status,
om.canceled,
COALESCE(tc.costeach, 0) as costeach
FROM temp_order_items oi
JOIN temp_order_meta om ON oi.order_id = om.order_id
LEFT JOIN _order o ON oi.order_id = o.order_id
LEFT JOIN temp_order_discounts od ON oi.order_id = od.order_id AND oi.pid = od.pid
LEFT JOIN temp_order_taxes ot ON oi.order_id = ot.order_id AND oi.pid = ot.pid
LEFT JOIN temp_order_costs tc ON oi.order_id = tc.order_id AND oi.pid = tc.pid
WHERE oi.order_id IN (?)
`, [Array.from(skippedOrders)]);
// Check which products exist now
const skippedPids = [...new Set(skippedProdOrders.map(o => o.pid))];
const [existingProducts] = skippedPids.length > 0 ? await localConnection.query(
"SELECT pid FROM products WHERE pid IN (?)",
[skippedPids]
) : [[]];
const existingPids = new Set(existingProducts.map(p => p.pid));
// Filter orders that can now be imported
const validOrders = skippedProdOrders.filter(order => existingPids.has(order.pid));
const retryOrderItems = new Set(); // Track unique order items in retry
if (validOrders.length > 0) {
const placeholders = validOrders.map(() => `(${columnNames.map(() => "?").join(", ")})`).join(",");
const values = validOrders.map(o => columnNames.map(col => o[col] ?? null)).flat();
const result = await localConnection.query(`
INSERT INTO orders (${columnNames.join(", ")})
VALUES ${placeholders}
ON DUPLICATE KEY UPDATE
SKU = VALUES(SKU),
date = VALUES(date),
price = VALUES(price),
quantity = VALUES(quantity),
discount = VALUES(discount),
tax = VALUES(tax),
tax_included = VALUES(tax_included),
shipping = VALUES(shipping),
customer = VALUES(customer),
customer_name = VALUES(customer_name),
status = VALUES(status),
canceled = VALUES(canceled),
costeach = VALUES(costeach)
`, values);
const affectedRows = result[0].affectedRows;
const updates = Math.floor(affectedRows / 2);
const inserts = affectedRows - (updates * 2);
// Track unique order items
validOrders.forEach(order => {
retryOrderItems.add(`${order.order_number}-${order.pid}`);
});
outputProgress({
status: "running",
operation: "Orders import",
message: `Successfully imported ${retryOrderItems.size} previously skipped order items`,
});
// Update the main counters
recordsAdded += inserts;
recordsUpdated += updates;
importedCount += retryOrderItems.size;
}
} catch (error) {
console.warn('Warning: Failed to retry skipped orders:', error.message);
console.warn(`Skipped ${skippedOrders.size} orders due to ${missingProducts.size} missing products`);
}
}
// Clean up temporary tables after ALL processing is complete
// Clean up temporary tables
await localConnection.query(`
DROP TEMPORARY TABLE IF EXISTS temp_order_items;
DROP TEMPORARY TABLE IF EXISTS temp_order_meta;
DROP TEMPORARY TABLE IF EXISTS temp_order_discounts;
DROP TEMPORARY TABLE IF EXISTS temp_order_taxes;
DROP TEMPORARY TABLE IF EXISTS temp_order_costs;
DROP TABLE IF EXISTS temp_order_items;
DROP TABLE IF EXISTS temp_order_meta;
DROP TABLE IF EXISTS temp_order_discounts;
DROP TABLE IF EXISTS temp_order_taxes;
DROP TABLE IF EXISTS temp_order_costs;
`);
// Only update sync status if we get here (no errors thrown)
// Update sync status
await localConnection.query(`
INSERT INTO sync_status (table_name, last_sync_timestamp)
VALUES ('orders', NOW())
ON DUPLICATE KEY UPDATE last_sync_timestamp = NOW()
ON CONFLICT (table_name) DO UPDATE SET
last_sync_timestamp = NOW()
`);
return {