{"id":17656,"date":"2025-10-27T14:50:10","date_gmt":"2025-10-27T21:50:10","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=17656"},"modified":"2025-10-27T14:50:10","modified_gmt":"2025-10-27T21:50:10","slug":"event-driven-data-migration","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/ko\/event-driven-data-migration\/","title":{"rendered":"Event-Driven Data Migration &#038; Transformation using Couchbase Eventing Service"},"content":{"rendered":"<p>Modern data migrations rarely involve a simple lift-and-shift; they require transformation, cleansing, and enrichment so applications can immediately leverage the destination platform&#8217;s strengths. Couchbase Capella&#8217;s Eventing service enables event-driven, inline transformations as data arrives, allowing teams to reshape schemas, normalize values, enrich with metadata, and prepare documents for SQL++, Search, Analytics, and mobile sync from the outset.<\/p>\n<h2 style=\"font-weight: 400;\">Objectives<\/h2>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>Deliver a repeatable, event-driven migration pattern from any relational or non-relational database to Couchbase Capella that transforms data in-flight for immediate usability in applications and analytics<br \/>\nIn this example, we will use MongoDB Atlas as a source database.<\/li>\n<li>Provide a minimal, production-ready reference implementation using <em>cbimport<\/em> and Capella Eventing to convert source schemas (e.g., decimals, nested structures, identifiers) into query-optimized models<\/li>\n<li>Outline operational guardrails, prerequisites, and validation steps so teams can execute confidently with predictable outcomes and rollback options if needed<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2 style=\"font-weight: 400;\">Why event\u2011driven migration<\/h2>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>Inline transformation reduces post-migration rework by applying schema normalization and enrichment as documents arrive, thereby accelerating cutover and lowering risk<\/li>\n<li>Eventing functions keep transformations source-controlled and auditable, so changes are consistent, testable, and repeatable across environments<\/li>\n<li>The result is Capella-ready data that supports SQL++, Full\u2011Text Search, Vector Search, Analytics, and App Services without interim refactoring phases<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-17662 size-large\" style=\"border: 1px solid Gainsboro;\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/eventing-workflow-1024x373.png\" alt=\"\" width=\"900\" height=\"328\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/eventing-workflow-1024x373.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/eventing-workflow-300x109.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/eventing-workflow-768x280.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/eventing-workflow-18x7.png 18w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/eventing-workflow.png 1234w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/p>\n<h2 style=\"font-weight: 400;\">\uc804\uc81c \uc870\uac74<\/h2>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>\uc124\uce58 <a href=\"https:\/\/www.mongodb.com\/try\/download\/shell\" target=\"_blank\" rel=\"noopener\">MongoDB Database Tools<\/a> (includes <em>\ubabd\uace0 \uc218\ucd9c<\/em>, <em>mongoimport<\/em>, etc.)<\/li>\n<li>Download Couchbase CLI<\/li>\n<li>Capella paid account and cluster access, with allowed IP addresses configured and the Capella root certificate downloaded and saved as <em>ca.pem<\/em><\/li>\n<li>Create following artifacts in Couchbase Capella:\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li>A bucket with name: <em>\ud14c\uc2a4\ud2b8<\/em><\/li>\n<li>Scope under bucket: <em>\ud14c\uc2a4\ud2b8<\/em> with name: <em>sample_airbnb<\/em><\/li>\n<li>Two collections with names <em>listingAndReviewsTemp<\/em> \uadf8\ub9ac\uace0 <em>listingAndReviews<\/em><\/li>\n<li>A Javascript function with name <em>dataTransformation<\/em><br \/>\nClick to watch videos below see the <a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/CouchbaseSetup2.mp4\" target=\"_blank\" rel=\"noopener\">Capella setup<\/a> \uadf8\ub9ac\uace0 <a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/CreateClusterAccess2.mp4\" target=\"_blank\" rel=\"noopener\">creating cluster access<\/a> steps.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/li>\n<li>Credentials with read\/write access to target bucket\/scope\/collections and CLI tools installed for cbimport and MongoDB export utilities.<\/li>\n<li>Connection strings for MongoDB Atlas (source) and Couchbase Capella (target), plus a temporary collection for initial ingestion before transformation.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 style=\"font-weight: 400;\">Source example using MongoDB Atlas<\/h3>\n<p>A representative Airbnb listing document illustrates common transformation needs: decimal normalization, identifier handling, nested fields, and flattening for query performance.<\/p>\n<p>Example fields include <em>listing_url<\/em>, host metadata, address with coordinates, and decimal wrappers for fields like bathrooms and price using the MongoDB extended JSON format.<\/p>\n<h4 style=\"font-weight: 400;\">Eventing transformation pattern<\/h4>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>Use a temporary collection as the Eventing source (<em>listingAndReviewsTemp<\/em>) and a destination collection (<em>listingAndReviews<\/em>) for the transformed documents to keep migration <em>idempotent<\/em> \uadf8\ub9ac\uace0 <em>testable<\/em>.<\/li>\n<li>Convert MongoDB extended JSON decimals to native numbers, rename fields for domain readability, derive a Couchbase key from the original <em>_id<\/em>, and stamp documents with <em>migrated_at<\/em>.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4 style=\"font-weight: 400;\">Step 1: Export from MongoDB<\/h4>\n<p>Export documents to JSON using <em>\ubabd\uace0 \uc218\ucd9c<\/em> \uc640 \ud568\uaed8 <em>&#8211;jsonArray<\/em> to produce a clean list for batch import into Couchbase.<\/p>\n<p>Follow along with this video of the Mongo export command execution:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-17675\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/MongoExport.gif\" alt=\"\" width=\"640\" height=\"480\" \/><\/p>\n<p>Syntax example:<\/p>\n<pre class=\"nums:false lang:default decode:true\">mongoexport \\\r\n\u00a0 --uri=\"mongodb+srv:\/\/cluster0.xxxx.mongodb.net\/test\" \\\r\n\u00a0 --username=Test \\\r\n\u00a0 --password=Test_123 \\\r\n\u00a0 --authenticationDatabase admin \\\r\n\u00a0 --collection=listingAndReviews \\\r\n\u00a0 --out=listingAndReviews.json \\\r\n\u00a0 --jsonArray\r\n\r\n<\/pre>\n<h4 style=\"font-weight: 400;\">Step 2: Deploy Eventing<\/h4>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>Configure the Eventing function with the temp collection as source (<em>listingAndReviewsTemp<\/em>) and the target collection (<em>listingAndReviews<\/em>) as the destination, then deploy to transform and write documents automatically.<\/li>\n<li>Monitor success metrics and logs in Eventing; verify counts and random samples in Data Tools to confirm fidelity and schema conformance.<\/li>\n<li><a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/CouchbaseSetup2.mp4\" target=\"_blank\" rel=\"noopener\">Watch the video<\/a> for setup and deployment<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<div style=\"width: 640px;\" class=\"wp-video\"><!--[if lt IE 9]><script>document.createElement('video');<\/script><![endif]-->\n<video class=\"wp-video-shortcode\" id=\"video-17656-1\" width=\"640\" height=\"360\" preload=\"metadata\" controls=\"controls\"><source type=\"video\/mp4\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/CouchbaseSetup2.mp4?_=1\" \/><a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/CouchbaseSetup2.mp4\">https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/CouchbaseSetup2.mp4<\/a><\/video><\/div>\n<p><strong>Code: Eventing function (OnUpdate)<\/strong><\/p>\n<pre class=\"nums:false lang:js decode:true\">function OnUpdate(doc, meta) {\r\n try {\r\n   \/\/ Directly process every document mutation in the source bucket\r\n   var newId = doc._id ? doc._id.toString() : meta.id;\r\n\u00a0\r\n<strong>\u00a0\u00a0 <\/strong>var transformedDoc = {\r\n  \u00a0 \u00a0 listingId: newId,\r\n  \u00a0 \u00a0 url: doc.listing_url,\r\n  \u00a0 \u00a0 title: doc.name,\r\n \u00a0 \u00a0\u00a0 summary: doc.summary,\r\n  \u00a0 \u00a0 type: doc.property_type,\r\n  \u00a0 \u00a0 room: doc.room_type,\r\n  \u00a0 \u00a0 accommodates: doc.accommodates,\r\n  \u00a0 \u00a0 bedrooms: doc.bedrooms,\r\n  \u00a0 \u00a0 beds: doc.beds,\r\n  \u00a0 \u00a0 bathrooms: parseFloat(doc.bathrooms?.$numberDecimal || doc.bathrooms) || null,\r\n  \u00a0 \u00a0 price: parseFloat(doc.price?.$numberDecimal || doc.price) || null,\r\n  \u00a0 \u00a0 picture: doc.images?.picture_url,\r\n  \u00a0 \u00a0 host: {\r\n \u00a0 \u00a0\u00a0\u00a0\u00a0 id: doc.host?.host_id,\r\n \u00a0 \u00a0\u00a0\u00a0\u00a0 name: doc.host?.host_name,\r\n  \u00a0 \u00a0\u00a0\u00a0 location: doc.host?.host_location\r\n \u00a0 \u00a0\u00a0 },\r\n \u00a0 \u00a0  address: {\r\n\u00a0\u00a0  \u00a0 \u00a0 street: doc.address?.street,\r\n\u00a0\u00a0  \u00a0 \u00a0 country: doc.address?.country,\r\n  \u00a0 \u00a0\u00a0\u00a0 coordinates: doc.address?.location?.coordinates\r\n\u00a0  \u00a0  },\r\n\u00a0\u00a0  \u00a0 migrated_at: new Date().toISOString()\r\n \u00a0 };\r\n\u00a0\r\n \u00a0 \/\/ Use a new prefixed key in the destination bucket\r\n \u00a0 dst_bucket[newId] = transformedDoc;\r\n\u00a0\r\n } catch (e) {\r\n   \u00a0 log(\"Error during transformation:\", e);\r\n }\r\n}\r\n<\/pre>\n<h4 style=\"font-weight: 400;\">Step 3: Import to temporary collection<\/h4>\n<p>Ingest exported JSON into a temporary collection (<em>listingAndReviewsTemp<\/em>)\ub97c \uc0ac\uc6a9\ud558\uc5ec <em>cbimport<\/em> with list format and Capella&#8217;s TLS certificate.<\/p>\n<p>Syntax example:<\/p>\n<pre class=\"nums:false lang:default decode:true\">cbimport json \\\r\n\u00a0 -c couchbases:\/\/cb.xxxx.cloud.couchbase.com \\\r\n\u00a0 -u MyUser \\\r\n\u00a0 -p MyPassword \\\r\n\u00a0 --bucket Test \\\r\n\u00a0 --scope sample_airbnb \\\r\n\u00a0 --collection listingAndReviewsTemp \\\r\n\u00a0 --format list \\\r\n\u00a0 --file listingAndReviews.json \\\r\n\u00a0 --cacert MyCert.pem<\/pre>\n<p>\uc2dc\uccad\ud558\uae30 <a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/CouchbaseImport.gif\" target=\"_blank\" rel=\"noopener\">Couchbase data import<\/a> steps:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/CouchbaseImport.gif\" \/><\/p>\n<p>Keep the destination collection empty during this phase\u2014Eventing will populate it post-transformation.<\/p>\n<hr \/>\n<h2 style=\"font-weight: 400;\">Validation checklist<\/h2>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>Document counts between the source and the transformed destination align within expected variances for filtered fields and transformations<\/li>\n<li>Numeric fields parsed from extended JSON (e.g., price, bathrooms) match expected numeric ranges, and keys map one-to-one with original IDs<\/li>\n<li>Representative queries in SQL++ (lookup by host, geospatial proximity by coordinates, price range filters) return expected results on transformed data<\/li>\n<li>While importing documents into Couchbase, the new ID will be UUID in listingAndReviewsTemp collection<\/li>\n<li>The given eventing script will remove<em> _id<\/em> field of MongoDB unique Identifier, change the document ID field from <em>UUID<\/em> to value of <em>_id<\/em> as it was in MongoDB<\/li>\n<li>\uc2dc\uccad\ud558\uae30 <a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/ImportVerification2.mp4\" target=\"_blank\" rel=\"noopener\">import validation<\/a> \ube44\ub514\uc624<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<div style=\"width: 640px;\" class=\"wp-video\"><video class=\"wp-video-shortcode\" id=\"video-17656-2\" width=\"640\" height=\"360\" preload=\"metadata\" controls=\"controls\"><source type=\"video\/mp4\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/ImportVerification2.mp4?_=2\" \/><a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/ImportVerification2.mp4\">https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/10\/ImportVerification2.mp4<\/a><\/video><\/div>\n<h2 style=\"font-weight: 400;\">Operational tips<\/h2>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>Run in small batches first to validate performance of Eventing and backfill posture; scale up once transformation throughput is stable<\/li>\n<li>Keep the Eventing function versioned; test changes in non-prod with identical collections and a snapshot of export data before promoting<\/li>\n<li>Apply TTL on temporary collection <em>listingAndReviewsTemp<\/em> to save the storage cost. Read <a href=\"https:\/\/docs.couchbase.com\/server\/current\/learn\/data\/expiration.html\" target=\"_blank\" rel=\"noopener\">more information on TTL<\/a> in the Couchbase docs<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2 style=\"font-weight: 400;\">Expanded use cases<\/h2>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>E-commerce: Normalize prices and currencies, enrich with inventory status, and denormalize SKU attributes for fast product detail queries<\/li>\n<li>IoT pipelines: Aggregate sensor readings by device\/time window and flag anomalies on ingest to reduce downstream processing latency<\/li>\n<li>User profiles: Standardize emails\/phone numbers, derive geo fields, and attach consent\/audit metadata for compliance-ready datasets<\/li>\n<li>Multi-database consolidation: Harmonize heterogeneous schemas into a unified model that fits Capella&#8217;s SQL++, FTS, and Vector Search features<\/li>\n<li>Content catalogs: Flatten nested media metadata, extract searchable keywords, and precompute facets for low-latency discovery experiences<\/li>\n<li>Financial records: Convert decimal and date types, attach lineage and reconciliation tags, and route exceptions for manual review on ingest<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2 style=\"font-weight: 400;\">What&#8217;s next<\/h2>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>Add incremental sync by reusing the temp collection as a landing zone for deltas and letting Eventing upsert into the destination for continuous migration<\/li>\n<li>Layer FTS and vector indexes over transformed documents to enable semantic and hybrid search patterns post-cutover without reindexing cycles<\/li>\n<li>Continuously stream the data from various relational and non-relation sources to Couchbase for live data migration scenarios using data streaming or ETL technologies, some examples are:\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>Kafka \/<a href=\"https:\/\/www.couchbase.com\/blog\/ko\/fully-managed-couchbase-connector-for-confluent-cloud\/\">Confluent<\/a><\/li>\n<li><a href=\"https:\/\/molo17.com\/gluesync\/gluesync-for-couchbase\/\">Molo 17 Glue Sync<\/a><\/li>\n<li><a href=\"https:\/\/www.cdata.com\/data\/integration\/couchbase\/\">CData Couchbase Driver<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 style=\"font-weight: 400;\">\uacb0\ub860<\/h3>\n<p>Event-driven migration turns a one-time port into a durable transformation pipeline that produces clean, query-ready data in Capella with minimal post-processing work. By exporting from MongoDB, importing into a temp collection, and applying a controlled Eventing transform, the destination model is ready for SQL++, Search, Analytics, and App Services on day one.<\/p>\n<h3 style=\"font-weight: 400;\">\ubb34\ub8cc\ub85c \uc2dc\uc791\ud558\uae30<\/h3>\n<p>Spin up a Capella environment and test this pattern end-to-end with a small sample to validate mappings, performance, and query behavior before scaling.<\/p>\n<p>Start your free tier cluster <a href=\"https:\/\/cloud.couchbase.com\/sign-up\">Sign up for free tier<\/a> \ub97c \ud074\ub9ad\ud574 \uc624\ub298 \uc2e4\ud5d8\uc744 \uc2e4\ud589\ud558\uc138\uc694!<\/p>\n<p><center><a href=\"https:\/\/cloud.couchbase.com\/sign-up\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-16409 aligncenter\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/capella-cloud-dbaas-couchbase-signup-free-1024x835.png\" alt=\"\" width=\"600\" height=\"489\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/capella-cloud-dbaas-couchbase-signup-free-1024x835.png 1024w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/capella-cloud-dbaas-couchbase-signup-free-300x245.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/capella-cloud-dbaas-couchbase-signup-free-768x626.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/capella-cloud-dbaas-couchbase-signup-free-1536x1252.png 1536w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/capella-cloud-dbaas-couchbase-signup-free-2048x1670.png 2048w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2024\/10\/capella-cloud-dbaas-couchbase-signup-free-1320x1076.png 1320w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/a><\/center><\/p>","protected":false},"excerpt":{"rendered":"<p>Modern data migrations rarely involve a simple lift-and-shift; they require transformation, cleansing, and enrichment so applications can immediately leverage the destination platform&#8217;s strengths. Couchbase Capella&#8217;s Eventing service enables event-driven, inline transformations as data arrives, allowing teams to reshape schemas, normalize [&hellip;]<\/p>","protected":false},"author":85424,"featured_media":17658,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1815,2225,1816,2273],"tags":[9405,9694],"ppma_author":[9996],"class_list":["post-17656","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-best-practices-and-tutorials","category-cloud","category-couchbase-server","category-eventing","tag-database-migration","tag-mongodb-atlas"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.1 (Yoast SEO v26.1.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Event-Driven Data Migration &amp; Transformation using Couchbase Eventing Service - The Couchbase Blog<\/title>\n<meta name=\"description\" content=\"Event-driven migration turns a one-time MongoDB export into a durable transformation pipeline for clean, query-ready data in Capella.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.couchbase.com\/blog\/ko\/event-driven-data-migration\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Event-Driven Data Migration &amp; 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