576 lines
21 KiB
JavaScript
576 lines
21 KiB
JavaScript
const { outputProgress, formatElapsedTime, estimateRemaining, calculateRate } = require('../metrics/utils/progress');
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const { importMissingProducts, setupTemporaryTables, cleanupTemporaryTables, materializeCalculations } = require('./products');
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/**
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* Imports orders from a production MySQL database to a local PostgreSQL database.
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* It can run in two modes:
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* 1. Incremental update mode (default): Only fetch orders that have changed since the last sync time.
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* 2. Full update mode: Fetch all eligible orders within the last 5 years regardless of timestamp.
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*
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* @param {object} prodConnection - A MySQL connection to production DB (MySQL 5.7).
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* @param {object} localConnection - A MySQL connection to local DB (MySQL 8.0).
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* @param {boolean} incrementalUpdate - Set to false for a full sync; true for incremental.
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*
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* @returns {object} Information about the sync operation.
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*/
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async function importOrders(prodConnection, localConnection, incrementalUpdate = true) {
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const startTime = Date.now();
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const skippedOrders = new Set();
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const missingProducts = new Set();
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let recordsAdded = 0;
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let recordsUpdated = 0;
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let processedCount = 0;
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let importedCount = 0;
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let totalOrderItems = 0;
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let totalUniqueOrders = 0;
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let cumulativeProcessedOrders = 0;
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try {
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// Get last sync info
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const [syncInfo] = await localConnection.query(
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"SELECT last_sync_timestamp FROM sync_status WHERE table_name = 'orders'"
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);
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const lastSyncTime = syncInfo?.rows?.[0]?.last_sync_timestamp || '1970-01-01';
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console.log('Orders: Using last sync time:', lastSyncTime);
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// First get count of order items - Keep MySQL compatible for production
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const [[{ total }]] = await prodConnection.query(`
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SELECT COUNT(*) as total
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FROM order_items oi
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USE INDEX (PRIMARY)
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JOIN _order o ON oi.order_id = o.order_id
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WHERE o.order_status >= 15
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AND o.date_placed_onlydate >= DATE_SUB(CURRENT_DATE, INTERVAL ${incrementalUpdate ? '1' : '5'} YEAR)
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AND o.date_placed_onlydate IS NOT NULL
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${incrementalUpdate ? `
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AND (
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o.stamp > ?
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OR oi.stamp > ?
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OR EXISTS (
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SELECT 1 FROM order_discount_items odi
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WHERE odi.order_id = o.order_id
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AND odi.pid = oi.prod_pid
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)
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OR EXISTS (
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SELECT 1 FROM order_tax_info oti
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JOIN order_tax_info_products otip ON oti.taxinfo_id = otip.taxinfo_id
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WHERE oti.order_id = o.order_id
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AND otip.pid = oi.prod_pid
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AND oti.stamp > ?
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)
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)
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` : ''}
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`, incrementalUpdate ? [lastSyncTime, lastSyncTime, lastSyncTime] : []);
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totalOrderItems = total;
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console.log('Orders: Found changes:', totalOrderItems);
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// Get order items - Keep MySQL compatible for production
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console.log('Orders: Starting MySQL query...');
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const [orderItems] = await prodConnection.query(`
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SELECT
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oi.order_id,
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oi.prod_pid,
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COALESCE(NULLIF(TRIM(oi.prod_itemnumber), ''), 'NO-SKU') as SKU,
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oi.prod_price as price,
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oi.qty_ordered as quantity,
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COALESCE(oi.prod_price_reg - oi.prod_price, 0) as base_discount,
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oi.stamp as last_modified
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FROM order_items oi
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USE INDEX (PRIMARY)
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JOIN _order o ON oi.order_id = o.order_id
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WHERE o.order_status >= 15
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AND o.date_placed_onlydate >= DATE_SUB(CURRENT_DATE, INTERVAL ${incrementalUpdate ? '1' : '5'} YEAR)
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AND o.date_placed_onlydate IS NOT NULL
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${incrementalUpdate ? `
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AND (
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o.stamp > ?
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OR oi.stamp > ?
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OR EXISTS (
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SELECT 1 FROM order_discount_items odi
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WHERE odi.order_id = o.order_id
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AND odi.pid = oi.prod_pid
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)
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OR EXISTS (
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SELECT 1 FROM order_tax_info oti
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JOIN order_tax_info_products otip ON oti.taxinfo_id = otip.taxinfo_id
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WHERE oti.order_id = o.order_id
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AND otip.pid = oi.prod_pid
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AND oti.stamp > ?
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)
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)
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` : ''}
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`, incrementalUpdate ? [lastSyncTime, lastSyncTime, lastSyncTime] : []);
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console.log('Orders: Found', orderItems.length, 'order items to process');
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// Create tables in PostgreSQL for debugging
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await localConnection.query(`
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DROP TABLE IF EXISTS debug_order_items;
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DROP TABLE IF EXISTS debug_order_meta;
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DROP TABLE IF EXISTS debug_order_discounts;
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DROP TABLE IF EXISTS debug_order_taxes;
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DROP TABLE IF EXISTS debug_order_costs;
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CREATE TABLE debug_order_items (
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order_id INTEGER NOT NULL,
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pid INTEGER NOT NULL,
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SKU VARCHAR(50) NOT NULL,
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price DECIMAL(10,2) NOT NULL,
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quantity INTEGER NOT NULL,
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base_discount DECIMAL(10,2) DEFAULT 0,
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PRIMARY KEY (order_id, pid)
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);
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CREATE TABLE debug_order_meta (
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order_id INTEGER NOT NULL,
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date DATE NOT NULL,
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customer VARCHAR(100) NOT NULL,
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customer_name VARCHAR(150) NOT NULL,
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status INTEGER,
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canceled BOOLEAN,
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summary_discount DECIMAL(10,2) DEFAULT 0.00,
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summary_subtotal DECIMAL(10,2) DEFAULT 0.00,
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PRIMARY KEY (order_id)
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);
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CREATE TABLE debug_order_discounts (
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order_id INTEGER NOT NULL,
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pid INTEGER NOT NULL,
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discount DECIMAL(10,2) NOT NULL,
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PRIMARY KEY (order_id, pid)
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);
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CREATE TABLE debug_order_taxes (
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order_id INTEGER NOT NULL,
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pid INTEGER NOT NULL,
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tax DECIMAL(10,2) NOT NULL,
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PRIMARY KEY (order_id, pid)
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);
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CREATE TABLE debug_order_costs (
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order_id INTEGER NOT NULL,
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pid INTEGER NOT NULL,
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costeach DECIMAL(10,3) DEFAULT 0.000,
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PRIMARY KEY (order_id, pid)
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);
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`);
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// Insert order items in batches
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for (let i = 0; i < orderItems.length; i += 5000) {
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const batch = orderItems.slice(i, Math.min(i + 5000, orderItems.length));
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const placeholders = batch.map((_, idx) =>
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`($${idx * 6 + 1}, $${idx * 6 + 2}, $${idx * 6 + 3}, $${idx * 6 + 4}, $${idx * 6 + 5}, $${idx * 6 + 6})`
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).join(",");
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const values = batch.flatMap(item => [
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item.order_id, item.prod_pid, item.SKU, item.price, item.quantity, item.base_discount
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]);
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await localConnection.query(`
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INSERT INTO debug_order_items (order_id, pid, SKU, price, quantity, base_discount)
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VALUES ${placeholders}
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ON CONFLICT (order_id, pid) DO UPDATE SET
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SKU = EXCLUDED.SKU,
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price = EXCLUDED.price,
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quantity = EXCLUDED.quantity,
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base_discount = EXCLUDED.base_discount
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`, values);
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processedCount = i + batch.length;
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outputProgress({
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status: "running",
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operation: "Orders import",
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message: `Loading order items: ${processedCount} of ${totalOrderItems}`,
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current: processedCount,
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total: totalOrderItems,
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elapsed: formatElapsedTime((Date.now() - startTime) / 1000),
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remaining: estimateRemaining(startTime, processedCount, totalOrderItems),
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rate: calculateRate(startTime, processedCount)
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});
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}
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// Get unique order IDs
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const orderIds = [...new Set(orderItems.map(item => item.order_id))];
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totalUniqueOrders = orderIds.length;
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console.log('Orders: Processing', totalUniqueOrders, 'unique orders');
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// Reset processed count for order processing phase
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processedCount = 0;
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// Process metadata, discounts, taxes, and costs in parallel
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const METADATA_BATCH_SIZE = 2000;
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const PG_BATCH_SIZE = 200;
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const processMetadataBatch = async (batchIds) => {
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const [orders] = await prodConnection.query(`
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SELECT
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o.order_id,
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o.date_placed_onlydate as date,
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o.order_cid as customer,
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CONCAT(COALESCE(u.firstname, ''), ' ', COALESCE(u.lastname, '')) as customer_name,
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o.order_status as status,
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CASE WHEN o.date_cancelled != '0000-00-00 00:00:00' THEN 1 ELSE 0 END as canceled,
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o.summary_discount,
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o.summary_subtotal
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FROM _order o
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LEFT JOIN users u ON o.order_cid = u.cid
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WHERE o.order_id IN (?)
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`, [batchIds]);
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// Process in sub-batches for PostgreSQL
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for (let j = 0; j < orders.length; j += PG_BATCH_SIZE) {
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const subBatch = orders.slice(j, j + PG_BATCH_SIZE);
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if (subBatch.length === 0) continue;
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const placeholders = subBatch.map((_, idx) =>
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`($${idx * 8 + 1}, $${idx * 8 + 2}, $${idx * 8 + 3}, $${idx * 8 + 4}, $${idx * 8 + 5}, $${idx * 8 + 6}, $${idx * 8 + 7}, $${idx * 8 + 8})`
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).join(",");
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const values = subBatch.flatMap(order => [
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order.order_id,
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order.date,
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order.customer,
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order.customer_name || '',
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order.status,
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order.canceled,
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order.summary_discount || 0,
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order.summary_subtotal || 0
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]);
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await localConnection.query(`
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INSERT INTO debug_order_meta (
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order_id, date, customer, customer_name, status, canceled,
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summary_discount, summary_subtotal
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)
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VALUES ${placeholders}
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ON CONFLICT (order_id) DO UPDATE SET
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date = EXCLUDED.date,
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customer = EXCLUDED.customer,
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customer_name = EXCLUDED.customer_name,
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status = EXCLUDED.status,
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canceled = EXCLUDED.canceled,
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summary_discount = EXCLUDED.summary_discount,
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summary_subtotal = EXCLUDED.summary_subtotal
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`, values);
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}
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};
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const processDiscountsBatch = async (batchIds) => {
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const [discounts] = await prodConnection.query(`
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SELECT order_id, pid, SUM(amount) as discount
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FROM order_discount_items
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WHERE order_id IN (?)
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GROUP BY order_id, pid
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`, [batchIds]);
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if (discounts.length === 0) return;
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for (let j = 0; j < discounts.length; j += PG_BATCH_SIZE) {
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const subBatch = discounts.slice(j, j + PG_BATCH_SIZE);
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if (subBatch.length === 0) continue;
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const placeholders = subBatch.map((_, idx) =>
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`($${idx * 3 + 1}, $${idx * 3 + 2}, $${idx * 3 + 3})`
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).join(",");
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const values = subBatch.flatMap(d => [
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d.order_id,
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d.pid,
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d.discount || 0
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]);
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await localConnection.query(`
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INSERT INTO debug_order_discounts (order_id, pid, discount)
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VALUES ${placeholders}
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ON CONFLICT (order_id, pid) DO UPDATE SET
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discount = EXCLUDED.discount
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`, values);
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}
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};
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const processTaxesBatch = async (batchIds) => {
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// Optimized tax query to avoid subquery
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const [taxes] = await prodConnection.query(`
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SELECT oti.order_id, otip.pid, otip.item_taxes_to_collect as tax
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FROM (
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SELECT order_id, MAX(taxinfo_id) as latest_taxinfo_id
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FROM order_tax_info
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WHERE order_id IN (?)
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GROUP BY order_id
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) latest_info
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JOIN order_tax_info oti ON oti.order_id = latest_info.order_id
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AND oti.taxinfo_id = latest_info.latest_taxinfo_id
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JOIN order_tax_info_products otip ON oti.taxinfo_id = otip.taxinfo_id
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`, [batchIds]);
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if (taxes.length === 0) return;
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for (let j = 0; j < taxes.length; j += PG_BATCH_SIZE) {
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const subBatch = taxes.slice(j, j + PG_BATCH_SIZE);
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if (subBatch.length === 0) continue;
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const placeholders = subBatch.map((_, idx) =>
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`($${idx * 3 + 1}, $${idx * 3 + 2}, $${idx * 3 + 3})`
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).join(",");
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const values = subBatch.flatMap(t => [
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t.order_id,
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t.pid,
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t.tax || 0
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]);
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await localConnection.query(`
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INSERT INTO debug_order_taxes (order_id, pid, tax)
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VALUES ${placeholders}
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ON CONFLICT (order_id, pid) DO UPDATE SET
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tax = EXCLUDED.tax
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`, values);
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}
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};
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const processCostsBatch = async (batchIds) => {
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const [costs] = await prodConnection.query(`
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SELECT
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oc.orderid as order_id,
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oc.pid,
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oc.costeach
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FROM order_costs oc
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WHERE oc.orderid IN (?)
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AND oc.pending = 0
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`, [batchIds]);
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if (costs.length === 0) return;
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for (let j = 0; j < costs.length; j += PG_BATCH_SIZE) {
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const subBatch = costs.slice(j, j + PG_BATCH_SIZE);
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if (subBatch.length === 0) continue;
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const placeholders = subBatch.map((_, idx) =>
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`($${idx * 3 + 1}, $${idx * 3 + 2}, $${idx * 3 + 3})`
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).join(",");
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const values = subBatch.flatMap(c => [
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c.order_id,
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c.pid,
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c.costeach || 0
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]);
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await localConnection.query(`
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INSERT INTO debug_order_costs (order_id, pid, costeach)
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VALUES ${placeholders}
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ON CONFLICT (order_id, pid) DO UPDATE SET
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costeach = EXCLUDED.costeach
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`, values);
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}
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};
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// Process all data types in parallel for each batch
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for (let i = 0; i < orderIds.length; i += METADATA_BATCH_SIZE) {
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const batchIds = orderIds.slice(i, i + METADATA_BATCH_SIZE);
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await Promise.all([
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processMetadataBatch(batchIds),
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processDiscountsBatch(batchIds),
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processTaxesBatch(batchIds),
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processCostsBatch(batchIds)
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]);
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processedCount = i + batchIds.length;
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outputProgress({
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status: "running",
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operation: "Orders import",
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message: `Loading order data: ${processedCount} of ${totalUniqueOrders}`,
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current: processedCount,
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total: totalUniqueOrders,
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elapsed: formatElapsedTime((Date.now() - startTime) / 1000),
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remaining: estimateRemaining(startTime, processedCount, totalUniqueOrders),
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rate: calculateRate(startTime, processedCount)
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});
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}
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// Pre-check all products at once
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const allOrderPids = [...new Set(orderItems.map(item => item.prod_pid))];
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console.log('Orders: Checking', allOrderPids.length, 'unique products');
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const [existingProducts] = allOrderPids.length > 0 ? await localConnection.query(
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"SELECT pid FROM products WHERE pid = ANY($1::bigint[])",
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[allOrderPids]
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) : [[]];
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const existingPids = new Set(existingProducts.rows.map(p => p.pid));
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// Process in smaller batches
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for (let i = 0; i < orderIds.length; i += 1000) {
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const batchIds = orderIds.slice(i, i + 1000);
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// Get combined data for this batch in sub-batches
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const PG_BATCH_SIZE = 100; // Process 100 records at a time
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for (let j = 0; j < batchIds.length; j += PG_BATCH_SIZE) {
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const subBatchIds = batchIds.slice(j, j + PG_BATCH_SIZE);
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const [orders] = await localConnection.query(`
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WITH order_totals AS (
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SELECT
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oi.order_id,
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oi.pid,
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SUM(COALESCE(od.discount, 0)) as promo_discount,
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COALESCE(ot.tax, 0) as total_tax,
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COALESCE(oi.price * 0.5, 0) as costeach
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FROM debug_order_items oi
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LEFT JOIN debug_order_discounts od ON oi.order_id = od.order_id AND oi.pid = od.pid
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LEFT JOIN debug_order_taxes ot ON oi.order_id = ot.order_id AND oi.pid = ot.pid
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GROUP BY oi.order_id, oi.pid, ot.tax
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)
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SELECT
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oi.order_id as order_number,
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oi.pid::bigint as pid,
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oi.SKU as sku,
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om.date,
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oi.price,
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oi.quantity,
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(oi.base_discount +
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COALESCE(ot.promo_discount, 0) +
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CASE
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WHEN om.summary_discount > 0 AND om.summary_subtotal > 0 THEN
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ROUND((om.summary_discount * (oi.price * oi.quantity)) / NULLIF(om.summary_subtotal, 0), 2)
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ELSE 0
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END)::DECIMAL(10,2) as discount,
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COALESCE(ot.total_tax, 0)::DECIMAL(10,2) as tax,
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false as tax_included,
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0 as shipping,
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om.customer,
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om.customer_name,
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om.status,
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om.canceled,
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COALESCE(ot.costeach, oi.price * 0.5)::DECIMAL(10,3) as costeach
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FROM (
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SELECT DISTINCT ON (order_id, pid)
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order_id, pid, SKU, price, quantity, base_discount
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FROM debug_order_items
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WHERE order_id = ANY($1)
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ORDER BY order_id, pid
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) oi
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JOIN debug_order_meta om ON oi.order_id = om.order_id
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LEFT JOIN order_totals ot ON oi.order_id = ot.order_id AND oi.pid = ot.pid
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ORDER BY oi.order_id, oi.pid
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`, [subBatchIds]);
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// Filter orders and track missing products
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const validOrders = [];
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const processedOrderItems = new Set();
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const processedOrders = new Set();
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for (const order of orders.rows) {
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if (!existingPids.has(order.pid)) {
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missingProducts.add(order.pid);
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skippedOrders.add(order.order_number);
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continue;
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}
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validOrders.push(order);
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processedOrderItems.add(`${order.order_number}-${order.pid}`);
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processedOrders.add(order.order_number);
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}
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// Process valid orders in smaller sub-batches
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const FINAL_BATCH_SIZE = 50;
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for (let k = 0; k < validOrders.length; k += FINAL_BATCH_SIZE) {
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|
const subBatch = validOrders.slice(k, k + FINAL_BATCH_SIZE);
|
|
|
|
const placeholders = subBatch.map((_, idx) => {
|
|
const base = idx * 14; // 14 columns (removed updated)
|
|
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})`;
|
|
}).join(',');
|
|
|
|
const batchValues = subBatch.flatMap(o => [
|
|
o.order_number,
|
|
o.pid,
|
|
o.sku || 'NO-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
|
|
]);
|
|
|
|
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
|
|
)
|
|
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
|
|
RETURNING xmax = 0 as inserted
|
|
)
|
|
SELECT
|
|
COUNT(*) FILTER (WHERE inserted) as inserted,
|
|
COUNT(*) FILTER (WHERE NOT inserted) as updated
|
|
FROM inserted_orders
|
|
`, batchValues);
|
|
|
|
const { inserted, updated } = result.rows[0];
|
|
recordsAdded += inserted;
|
|
recordsUpdated += updated;
|
|
importedCount += subBatch.length;
|
|
}
|
|
|
|
cumulativeProcessedOrders += processedOrders.size;
|
|
outputProgress({
|
|
status: "running",
|
|
operation: "Orders import",
|
|
message: `Importing orders: ${cumulativeProcessedOrders} of ${totalUniqueOrders}`,
|
|
current: cumulativeProcessedOrders,
|
|
total: totalUniqueOrders,
|
|
elapsed: formatElapsedTime((Date.now() - startTime) / 1000),
|
|
remaining: estimateRemaining(startTime, cumulativeProcessedOrders, totalUniqueOrders),
|
|
rate: calculateRate(startTime, cumulativeProcessedOrders)
|
|
});
|
|
}
|
|
}
|
|
|
|
// Update sync status
|
|
await localConnection.query(`
|
|
INSERT INTO sync_status (table_name, last_sync_timestamp)
|
|
VALUES ('orders', NOW())
|
|
ON CONFLICT (table_name) DO UPDATE SET
|
|
last_sync_timestamp = NOW()
|
|
`);
|
|
|
|
return {
|
|
status: "complete",
|
|
totalImported: Math.floor(importedCount),
|
|
recordsAdded: recordsAdded || 0,
|
|
recordsUpdated: Math.floor(recordsUpdated),
|
|
totalSkipped: skippedOrders.size,
|
|
missingProducts: missingProducts.size,
|
|
incrementalUpdate,
|
|
lastSyncTime
|
|
};
|
|
} catch (error) {
|
|
console.error("Error during orders import:", error);
|
|
throw error;
|
|
}
|
|
}
|
|
|
|
module.exports = importOrders;
|