
How to Filter Groups with HAVING in Oracle SQL
Keep only the groups you need by filtering on counts, sums, and other aggregates, and learn when a condition belongs in WHERE instead.
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Keep only the groups you need by filtering on counts, sums, and other aggregates, and learn when a condition belongs in WHERE instead.

Check the prerequisites, run the Windows installer interactively or silently, and connect to the FREE container database and FREEPDB1.

Install the database from Oracle's RPM packages, create the FREE container database, connect through the listener, and start it at boot.

Install a new ORDS release next to the old one, upgrade the ORDS schema with the same configuration folder, and switch over safely.

Add a connection pool for each database or PDB, reach each APEX instance at its own ORDS URL, and manage every pool's settings separately.

Run ORDS as a web application in Apache Tomcat instead of standalone, serve the APEX images, and see which settings move to Tomcat.

Secure Oracle APEX with HTTPS using an ORDS self-signed certificate for testing, your own certificate, or Nginx as a reverse proxy.

Understand how ORDS serves APEX, where its settings live, and how to change the web server and connection pool settings safely.

Run Oracle AI Database 26ai Free in a container and ORDS natively on your Mac, with start scripts and a launchd agent that starts ORDS at login.

Build a native Oracle APEX 26.1 server on Oracle Linux, with the database and ORDS running as systemd services that start at boot.

Install Oracle AI Database 26ai Free, ORDS, and APEX 26.1 directly on Windows, then keep ORDS running in the background without Docker.

Build a complete Oracle APEX 26.1 environment in about half an hour with Oracle AI Database 26ai Free in a container and ORDS on your computer.

Check requirements, install Java, a container engine, SQLcl, and VS Code, and download APEX and ORDS before installing Oracle APEX 26.1.

Add a kill switch, a daily budget, and monitoring to Oracle AI Database 26ai features, and deploy everything an AI application needs to each environment.

Keep users from waiting on an AI provider by embedding and classifying new data in a DBMS_SCHEDULER job that logs its work and retries failures.

Measure what language model calls cost and how fast they are from inside Oracle 26ai, then cut cost with smaller models, lean prompts, and caching.

Make internal documents invisible to customers and available to agents in a RAG assistant, with row-level security on retrieval in Oracle 26ai.

See how a planted document reaches a RAG assistant in Oracle AI Database 26ai, block it with a review gate, and build defenses in layers.