The article analyzes the DAPO technical report, showing how dynamic‑sampling pipelines and token‑level loss handling in SFT and RL training outperform ad‑hoc algorithm tricks, and compares the training dynamics of reinforce_baseline and GRPO with concrete code examples.
This article explains Oracle's dynamic sampling feature, outlines typical scenarios such as temporary tables and complex filters, presents real CRM case studies with misestimated cardinalities, demonstrates step‑by‑step solutions using DBMS_STATS commands, and shows how 12c enhancements dramatically improve estimation accuracy for complex queries.
This guide explains the role of optimizer statistics in Oracle, when to gather them, how to use automatic and manual collection jobs, tune ESTIMATE_PERCENT and METHOD_OPT, manage histograms, handle bind peeking, apply dynamic sampling, and safely test changes with pending statistics.
The article describes a slow PL/SQL Developer experience on an Oracle 12.1.0.2 test database, explains how missing dictionary and fixed object statistics cause delays, shows how to gather these stats, disable optimizer_dynamic_sampling, and restart the database to significantly improve query and autocomplete performance.
