Fashionable information migrations not often contain a easy lift-and-shift; they require transformation, cleaning, and enrichment so purposes can instantly leverage the vacation spot platform’s strengths. Couchbase Capella’s Eventing service permits event-driven, inline transformations as information arrives, permitting groups to reshape schemas, normalize values, enrich with metadata, and put together paperwork for SQL++, Search, Analytics, and cell sync from the outset.
Targets
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- Ship a repeatable, event-driven migration sample from any relational or non-relational database to Couchbase Capella that transforms information in-flight for speedy usability in purposes and analytics
On this instance, we are going to use MongoDB Atlas as a supply database. - Present a minimal, production-ready reference implementation utilizing cbimport and Capella Eventing to transform supply schemas (e.g., decimals, nested constructions, identifiers) into query-optimized fashions
- Define operational guardrails, conditions, and validation steps so groups can execute confidently with predictable outcomes and rollback choices if wanted
- Ship a repeatable, event-driven migration sample from any relational or non-relational database to Couchbase Capella that transforms information in-flight for speedy usability in purposes and analytics
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Why occasion‑pushed migration
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- Inline transformation reduces post-migration rework by making use of schema normalization and enrichment as paperwork arrive, thereby accelerating cutover and decreasing danger
- Eventing features maintain transformations source-controlled and auditable, so modifications are constant, testable, and repeatable throughout environments
- The result’s Capella-ready information that helps SQL++, Full‑Textual content Search, Vector Search, Analytics, and App Providers with out interim refactoring phases
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Conditions
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- Set up MongoDB Database Instruments (consists of mongoexport, mongoimport, and many others.)
- Obtain Couchbase CLI
- Capella paid account and cluster entry, with allowed IP addresses configured and the Capella root certificates downloaded and saved as ca.pem
- Create following artifacts in Couchbase Capella:
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- A bucket with identify: Take a look at
- Scope underneath bucket: Take a look at with identify: sample_airbnb
- Two collections with names listingAndReviewsTemp and listingAndReviews
- A Javascript operate with identify dataTransformation
Click on to observe movies under see the Capella setup and creating cluster entry steps.
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- Credentials with learn/write entry to focus on bucket/scope/collections and CLI instruments put in for cbimport and MongoDB export utilities.
- Connection strings for MongoDB Atlas (supply) and Couchbase Capella (goal), plus a short lived assortment for preliminary ingestion earlier than transformation.
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Supply instance utilizing MongoDB Atlas
A consultant Airbnb itemizing doc illustrates frequent transformation wants: decimal normalization, identifier dealing with, nested fields, and flattening for question efficiency.
Instance fields embrace listing_url, host metadata, tackle with coordinates, and decimal wrappers for fields like loos and value utilizing the MongoDB prolonged JSON format.
Eventing transformation sample
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- Use a short lived assortment because the Eventing supply (listingAndReviewsTemp) and a vacation spot assortment (listingAndReviews) for the reworked paperwork to maintain migration idempotent and testable.
- Convert MongoDB prolonged JSON decimals to native numbers, rename fields for area readability, derive a Couchbase key from the unique _id, and stamp paperwork with migrated_at.
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Step 1: Export from MongoDB
Export paperwork to JSON utilizing mongoexport with –jsonArray to provide a clear checklist for batch import into Couchbase.
Comply with together with this video of the Mongo export command execution:
Syntax instance:
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mongoexport —uri=“mongodb+srv://cluster0.xxxx.mongodb.web/take a look at” —username=Take a look at —password=Take a look at_123 —authenticationDatabase admin —assortment=listingAndReviews —out=listingAndReviews.json —jsonArray |
Step 2: Deploy Eventing
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- Configure the Eventing operate with the temp assortment as supply (listingAndReviewsTemp) and the goal assortment (listingAndReviews) because the vacation spot, then deploy to remodel and write paperwork mechanically.
- Monitor success metrics and logs in Eventing; confirm counts and random samples in Knowledge Instruments to verify constancy and schema conformance.
- Watch the video for setup and deployment
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Code: Eventing operate (OnUpdate)
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operate OnUpdate(doc, meta) { strive { // Straight course of each doc mutation within the supply bucket var newId = doc._id ? doc._id.toString() : meta.id;
<robust> </robust>var transformedDoc = { listingId: newId, url: doc.listing_url, title: doc.identify, abstract: doc.abstract, kind: doc.property_type, room: doc.room_type, accommodates: doc.accommodates, bedrooms: doc.bedrooms, beds: doc.beds, loos: parseFloat(doc.loos?.$numberDecimal || doc.loos) || null, value: parseFloat(doc.value?.$numberDecimal || doc.value) || null, image: doc.photographs?.picture_url, host: { id: doc.host?.host_id, identify: doc.host?.host_name, location: doc.host?.host_location }, tackle: { avenue: doc.tackle?.avenue, nation: doc.tackle?.nation, coordinates: doc.tackle?.location?.coordinates }, migrated_at: new Date().toISOString() };
// Use a brand new prefixed key within the vacation spot bucket dst_bucket[newId] = transformedDoc;
} catch (e) { log(“Error throughout transformation:”, e); } } |
Step 3: Import to momentary assortment
Ingest exported JSON into a short lived assortment (listingAndReviewsTemp) utilizing cbimport with checklist format and Capella’s TLS certificates.
Syntax instance:
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cbimport json –c couchbases://cb.xxxx.cloud.couchbase.com –u MyUser –p MyPassword —bucket Take a look at —scope pattern_airbnb —assortment listingAndReviewsTemp —format checklist —file listingAndReviews.json —cacert MyCert.pem |
Watch the Couchbase information import steps:
Preserve the vacation spot assortment empty throughout this section—Eventing will populate it post-transformation.
Validation guidelines
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- Doc counts between the supply and the reworked vacation spot align inside anticipated variances for filtered fields and transformations
- Numeric fields parsed from prolonged JSON (e.g., value, loos) match anticipated numeric ranges, and keys map one-to-one with authentic IDs
- Consultant queries in SQL++ (lookup by host, geospatial proximity by coordinates, value vary filters) return anticipated outcomes on reworked information
- Whereas importing paperwork into Couchbase, the brand new ID will likely be UUID in listingAndReviewsTemp assortment
- The given eventing script will take away _id discipline of MongoDB distinctive Identifier, change the doc ID discipline from UUID to worth of _id because it was in MongoDB
- Watch the import validation video
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Operational ideas
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- Run in small batches first to validate efficiency of Eventing and backfill posture; scale up as soon as transformation throughput is secure
- Preserve the Eventing operate versioned; take a look at modifications in non-prod with similar collections and a snapshot of export information earlier than selling
- Apply TTL on momentary assortment listingAndReviewsTemp to save lots of the storage price. Learn extra info on TTL within the Couchbase docs
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Expanded use circumstances
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- E-commerce: Normalize costs and currencies, enrich with stock standing, and denormalize SKU attributes for quick product element queries
- IoT pipelines: Mixture sensor readings by machine/time window and flag anomalies on ingest to cut back downstream processing latency
- Person profiles: Standardize emails/cellphone numbers, derive geo fields, and connect consent/audit metadata for compliance-ready datasets
- Multi-database consolidation: Harmonize heterogeneous schemas right into a unified mannequin that matches Capella’s SQL++, FTS, and Vector Search options
- Content material catalogs: Flatten nested media metadata, extract searchable key phrases, and precompute aspects for low-latency discovery experiences
- Monetary information: Convert decimal and date sorts, connect lineage and reconciliation tags, and route exceptions for guide overview on ingest
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What’s subsequent
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- Add incremental sync by reusing the temp assortment as a touchdown zone for deltas and letting Eventing upsert into the vacation spot for steady migration
- Layer FTS and vector indexes over reworked paperwork to allow semantic and hybrid search patterns post-cutover with out reindexing cycles
- Constantly stream the info from varied relational and non-relation sources to Couchbase for dwell information migration eventualities utilizing information streaming or ETL applied sciences, some examples are:
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Conclusion
Occasion-driven migration turns a one-time port right into a sturdy transformation pipeline that produces clear, query-ready information in Capella with minimal post-processing work. By exporting from MongoDB, importing right into a temp assortment, and making use of a managed Eventing rework, the vacation spot mannequin is prepared for SQL++, Search, Analytics, and App Providers on day one.
Begin without spending a dime
Spin up a Capella atmosphere and take a look at this sample end-to-end with a small pattern to validate mappings, efficiency, and question conduct earlier than scaling.
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