{"id":24495,"date":"2026-09-18T11:37:21","date_gmt":"2026-09-18T18:37:21","guid":{"rendered":"https:\/\/www.pingcap.com\/?post_type=article&#038;p=24495"},"modified":"2026-09-18T11:37:22","modified_gmt":"2026-09-18T18:37:22","slug":"transitioning-from-rdbms-to-modern-databases-with-tidb","status":"publish","type":"article","link":"https:\/\/www.pingcap.com\/ko\/article\/transitioning-from-rdbms-to-modern-databases-with-tidb\/","title":{"rendered":"Legacy Database Migration to TiDB: A Step-by-Step Playbook"},"content":{"rendered":"<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Key_Takeaways\"><\/span><strong>\ud575\uc2ec \uc694\uc57d<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Migrate when the system has hit a scaling ceiling, costs are climbing faster than the workload justifies, or the vendor has set an end-of-life date. Outside those triggers, the engineering time rarely pays back.<\/li>\n\n\n\n<li>Five phases: assess, export, bulk load, replicate incremental changes, cut over.<\/li>\n\n\n\n<li>Dumpling records the binlog position that DM picks up later, so incremental sync resumes exactly where the snapshot ended.<\/li>\n\n\n\n<li>Keep the source database live as a rollback target for one to two weeks after cutover.<\/li>\n<\/ul>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">A legacy database migration earns its risk when the current system has hit a scaling ceiling, when licensing or hardware costs keep climbing faster than the workload justifies, or when the vendor has announced an end-of-life date that forces the decision. Outside those triggers, migrating for its own sake rarely repays the engineering time. This playbook walks through migrating a MySQL-compatible RDBMS to <a href=\"https:\/\/www.pingcap.com\/ko\/what-is-tidb\/\">\ud2f0DB<\/a> in five phases, using the same tools PingCAP customers use in production.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Phase_1_Assess_the_Current_System\"><\/span><strong>Phase 1: Assess the Current System<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Before touching any tooling, inventory what the migration actually has to handle: schema size and complexity, peak query load, and any application code that depends on database-specific features (stored procedures, triggers, vendor-specific SQL extensions) that will not carry over cleanly. This assessment decides whether the migration is a straightforward export and import or needs application-level changes first. Skipping it is the most common reason migrations overrun their estimated timeline.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Phase_2_Export_Schema_and_Data\"><\/span><strong>Phase 2: Export Schema and Data<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Use <a href=\"https:\/\/docs.pingcap.com\/tidb\/stable\/dumpling-overview\">Dumpling<\/a> to export the schema and data from the source database. Dumpling also records the source database&#8217;s current binlog position in its metadata output, which the incremental sync phase needs later. Note that position now: losing it means restarting the export rather than resuming the sync. For datasets under roughly 1 TiB, this export typically completes in hours rather than days.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Phase_3_Bulk_Load_Into_TiDB\"><\/span><strong>Phase 3: Bulk Load Into TiDB<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Import the Dumpling export into TiDB using <a href=\"https:\/\/docs.pingcap.com\/tidb\/stable\/tidb-lightning-overview\">TiDB Lightning<\/a>. Pick the import mode by whether the target cluster is already serving applications.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Physical import mode<\/strong> (backend = local) writes key-value pairs directly into TiKV, bypassing the SQL interface, which makes it the fast path for large imports. The tradeoff is access: during the import, Lightning switches TiKV into import mode, and the docs advise against running DDL, DML, or even reads against the target tables, because the data you read may be inconsistent until the import finishes. Use it on a cluster that is not yet serving traffic.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Logical import mode<\/strong> (backend = tidb) encodes the data into SQL statements and runs them, which keeps full ACID behavior and leaves the cluster usable throughout. The docs recommend it when the target cluster already holds data and serves external applications. It trades import speed for availability during the load.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Phase_4_Replicate_Incremental_Changes\"><\/span><strong>Phase 4: Replicate Incremental Changes<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A bulk load captures a point-in-time snapshot and nothing after it. Every write the source database takes after that snapshot has to reach TiDB before cutover, or the migration loses data. <a href=\"https:\/\/docs.pingcap.com\/tidb\/stable\/dm-overview\">TiDB Data Migration (DM)<\/a> closes that gap: it reads the source binlog starting from the position Dumpling recorded and replicates changes into TiDB continuously. This phase is also what lets you validate the new system against live traffic patterns rather than against a stale snapshot.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Phase_5_Cut_Over_and_Keep_a_Rollback_Path\"><\/span><strong>Phase 5: Cut Over and Keep a Rollback Path<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Cut over application traffic once DM&#8217;s replication lag reaches zero and your validation checks pass. Keep the source database running as a rollback target for a defined window, typically one to two weeks, rather than decommissioning it immediately. Because TiDB speaks the MySQL protocol, cutover for most applications is a connection-string change rather than a code change, which keeps the rollback path genuinely usable if something surfaces that testing did not catch.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Verified_Result_MNC_Bank\"><\/span><strong>Verified Result: MNC Bank<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.pingcap.com\/ko\/case-study\/mnc-bank-supercharges-performance-with-tidb\/\">MNC Bank<\/a> ran this migration path against its core transaction processing system and measured 10x higher throughput, 50% lower latency, and 85% faster backups after cutover. The backup improvement in particular reflects a change most migration plans underweight: distributed backups across TiKV nodes replace a single-primary backup job that locks one machine.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"A_Repeatable_Process_Not_a_Leap_of_Faith\"><\/span><strong>A Repeatable Process, Not a Leap of Faith<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A legacy database migration breaks into five phases you can plan, estimate, and rehearse: assess, export, bulk load, replicate, and cut over with a rollback path intact. The phases that sink timelines are the first and the last, not the data transfer in the middle.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Test the full sequence on a <a href=\"https:\/\/www.pingcap.com\/ko\/tidb\/cloud\/\">free TiDB Cloud Starter cluster<\/a> before committing to a production cutover.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Legacy_Database_Migration_FAQs\"><\/span><strong>Legacy Database Migration FAQs<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>How Long Does a Legacy Database Migration to TiDB Typically Take?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Small datasets, under roughly 1 TiB, can finish the bulk load in hours with Dumpling and TiDB Lightning. Validation and cutover planning usually drive the total timeline, not the data transfer itself. A one-to-two-week rollback window extends the project but cuts cutover risk substantially.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Do I Need to Rewrite Application Queries to Migrate to TiDB?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Mostly no. TiDB implements the MySQL wire protocol, so most standard queries run unmodified. The exceptions are the database-specific features you identified in Phase 1, such as stored procedures and vendor SQL extensions, which may need rework. Check the <a href=\"https:\/\/docs.pingcap.com\/tidb\/stable\/mysql-compatibility\">MySQL compatibility docs<\/a> for feature gaps before you start.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>What Happens if Something Goes Wrong During Cutover?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Roll traffic back to the source database, which stays live through the rollback window for exactly this reason. Because cutover is typically a connection-string change, rollback follows the same path in reverse. You can also redirect DM to keep the source database current while you diagnose the problem.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Can I Migrate a Sharded MySQL Setup to TiDB?<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Yes. TiDB Data Migration supports merging multiple MySQL shards into one TiDB database, and it handles shard-merge migrations including detecting and applying DDL changes across shards. This is a common path for teams outgrowing manual application-level sharding.<\/p>","protected":false},"excerpt":{"rendered":"<p>Discover the benefits of modern databases like TiDB over traditional RDBMS for scalable, real-time data processing and analytics.<\/p>","protected":false},"author":218,"featured_media":0,"template":"","class_list":["post-24495","article","type-article","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Legacy Database Migration to TiDB: Step-by-Step Guide<\/title>\n<meta name=\"description\" content=\"A phase-by-phase legacy database migration playbook: assessment, export, bulk load, incremental sync, cutover, and rollback.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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       <a class=\"card-article\" href=\"https:\/\/www.pingcap.com\/ko\/article\/transitioning-from-rdbms-to-modern-databases-with-tidb\/\">            <h3>Legacy Database Migration to TiDB: A Step-by-Step Playbook<\/h3>            <p>Discover the benefits of modern databases like TiDB over traditional RDBMS for scalable, real-time data processing and analytics.<\/p>        <\/a>","_links":{"self":[{"href":"https:\/\/www.pingcap.com\/ko\/wp-json\/wp\/v2\/article\/24495","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.pingcap.com\/ko\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/www.pingcap.com\/ko\/wp-json\/wp\/v2\/types\/article"}],"author":[{"embeddable":true,"href":"https:\/\/www.pingcap.com\/ko\/wp-json\/wp\/v2\/users\/218"}],"wp:attachment":[{"href":"https:\/\/www.pingcap.com\/ko\/wp-json\/wp\/v2\/media?parent=24495"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}