Master advanced filtering with Tungsten Replicator to control what moves through your pipelines, from schema/table selection to row/column manipulation and object renaming, so you can tailor replication to your data architecture and compliance needs.
This session recaps extractor and applier stages, then demonstrates built-in filters such as colnames, replicate (.do/.ignore), dropcolumn, droprow, rename, and rowadddbname, including when to apply at extract vs apply, required config files (JSON/CSV), and trade-offs like THL size growth and irreversible extract‑stage filtering.
You’ll also see how to enable filters in the right stage, design example configurations for common use cases, and extend functionality with custom JavaScript filters using the official documentation patterns and templates.