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26ai LTS (23.26.x)Long Term Support (LTS Sürümü) · Ekim 2025 (politika tablosu)10 min read

Oracle AI Database 26ai DBA Release Analysis: AI Vector Search, JSON-Relational Duality, Lock-Free Reservations & True Cache

Flagship LTS Successor to 19c: 23c -> 23ai -> 26ai Evolution (23.26.1 / 26.0.0.0), Vector Search and AutoUpgrade

Senior DBA Evaluation Matrix
Native AI Vector Search & Vector Indexes

Native VECTOR datatype with HNSW and IVF index structures, delivering sub-millisecond similarity scans over enterprise data.

⚠ Combines relational predicates and semantic vector distances within a single query plan.
JSON-Relational Duality Views

Stores data in normalized relational tables while exposing fully ACID-compliant, updatable JSON documents to applications.

⚠ Bridges relational data integrity with document-store developer agility without ORM synchronization bottlenecks.
Lock-Free Reservations

Allows concurrent transactions to reserve quantities or funds on the same row without traditional exclusive row locks.

⚠ Eliminates deadly enqueue TX row lock contention on hot inventory and account records.
True Cache Architecture

Automated diskless read-only cache instances synchronized with primary database, replacing external Redis tiers.

⚠ Completely eliminates application-level cache invalidation complexity and race conditions.

▸1. Oracle Database 23ai: The Long-Term Release (LTS) Standard

Oracle Database 23ai is Oracle's flagship Long Term Release (LTS) following 19c. It receives 5 years of Premier Support followed by 3 years of Extended Support (active through 2032).


▸2. Native AI Vector Search (HNSW & IVF Indexes)

Oracle 23ai integrates vector embeddings natively alongside standard relational datatypes without separate external vector store plugins:

sql
-- 1. Create table with native 1536-dimensional VECTOR column CREATE TABLE product_catalog ( product_id NUMBER GENERATED ALWAYS AS IDENTITY PRIMARY KEY, product_name VARCHAR2(150), category VARCHAR2(50), price NUMBER(10,2), embedding VECTOR(1536, FLOAT32) ); -- 2. Build In-Memory HNSW Neighbor Graph Index CREATE INDEX prod_vec_hnsw_idx ON product_catalog(embedding) ORGANIZATION INMEMORY NEIGHBOR GRAPH DISTANCE COSINE; -- 3. Hybrid SQL Query combining relational predicates and vector cosine distance SELECT product_id, product_name, price, VECTOR_DISTANCE(embedding, :query_vec, COSINE) AS distance_score FROM product_catalog WHERE category = 'Electronics' AND price <= 25000 ORDER BY distance_score ASC FETCH FIRST 5 ROWS ONLY;

▸3. JSON-Relational Duality Views

JSON-Relational Duality Views store data in fully normalized 3NF relational tables while exposing ACID-compliant, updatable JSON documents to modern REST/GraphQL APIs:

sql
CREATE OR REPLACE JSON RELATIONAL DUALITY VIEW customer_orders_dv AS SELECT JSON { 'customer_id': c.id, 'name': c.name, 'email': c.email, 'orders': [ SELECT JSON { 'order_id': o.id, 'total': o.total_amount } FROM orders o WITH INSERT UPDATE DELETE WHERE o.customer_id = c.id ] } FROM customers c WITH INSERT UPDATE;

▸4. Lock-Free Reservations: Eliminating Enqueue TX Row Lock Contention

During high-concurrency ticket sales or flash e-commerce events, hundreds of concurrent sessions execute exclusive row locks on hot balance records. Oracle 23ai introduces RESERVABLE columns:

sql
CREATE TABLE product_inventory ( product_id NUMBER PRIMARY KEY, inventory_count NUMBER RESERVABLE CONSTRAINT positive_stock CHECK (inventory_count >= 0) ); -- Deducts from inventory without locking the row against concurrent transactions UPDATE product_inventory SET inventory_count = inventory_count - 1 WHERE product_id = 1001;

▸5. AutoUpgrade Migration from Oracle 19c to 23ai

Oracle 19c instances can upgrade directly to 23ai using the automated AutoUpgrade utility:

ini
# autoupgrade_19c_to_23ai.cfg global.autoupg_log_dir=/u01/app/oracle/cfgtoollogs/autoupgrade upg1.source_home=/u01/app/oracle/product/19.0.0/dbhome_1 upg1.target_home=/u01/app/oracle/product/23.0.0/dbhome_1 upg1.sid=PROD19C upg1.pdbs=*
bash
# Execute pre-flight analysis and unattended deployment java -jar autoupgrade.jar -config autoupgrade_19c_to_23ai.cfg -mode analyze java -jar autoupgrade.jar -config autoupgrade_19c_to_23ai.cfg -mode deploy