Deploying　data　plane　programs　on　programmable　switches　involves　complex　optimization　problems　that　make　the　optimal　deployment　decisions.　However,　existing　deployment　frameworks　only　focus　on　deploying　programs　in　specific　domains　(i.e.,　supporting　fixed　optimization　requirements),　resulting　in　poor　scalability.　To　this　end,　our　goal　is　to　simplify　program　deployment　through　general　high-level　abstractions　that　capture　optimization　requirements.　In　this　paper,　we　present　libopl,　a　generic　library　that　enables　administrators　to　express　various　optimization　requirements　when　deploying　programs　and　further　calculates　the　optimal　deployment　plans.　Existing　frameworks　can　also　use　libopl　to　extend　their　functionalities　to　fit　more　deployment　scenarios.　To　evaluate　libopl,　we　build　a　Tofino-based　testbed　and　a　simulator.　Our　experimental　results　show　that　libopl　exhibits　comparable　or　better　scalability　than　state-of-the-art　frameworks　and　only　introduces　negligible　overhead.