diff --git a/perf/runbench.jl b/perf/runbench.jl
index 3ff6c32..828559f 100644
--- a/perf/runbench.jl
+++ b/perf/runbench.jl
@@ -37,7 +37,7 @@ function generate_moi_problem(model, At, b, c;
     else
         for row in 1:rows
             MOI.add_constraint(model, MOI.VectorAffineFunction(
-                [MOI.VectorAffineTerm(1, 
+                [MOI.VectorAffineTerm(1,
                     MOI.ScalarAffineTerm(A_vals[i], x[A_cols[i]])
                 ) for i in nzrange(At, row)], [-b[row]]),
                 MOI.Nonpositives(1))
@@ -113,7 +113,7 @@ function time_build_and_solve(to_build, to_solve, At, b, c, scalar = true)
     end
     MOI.set(to_solve, MOI.TimeLimitSec(), 0.0010)
     @time @timeit "opt" MOI.optimize!(to_solve)
-    val = MOI.get(to_solve, MOI.SolveTime())
+    val = MOI.get(to_solve, MOI.SolveTimeSec())
     println(val)
     @show MOI.get(to_solve, MOI.ObjectiveValue())
     @show MOI.get(to_solve, MOI.TerminationStatus())
@@ -129,19 +129,19 @@ function solve_GLPK(seed, data; time_limit_sec=Inf)
         GC.gc()
         bridged_cache, pure_solver = bridged_cache_and_solver()
         @timeit "bc + s" time_build_and_solve(bridged_cache, pure_solver, At, b, c)
-        
+
         GC.gc()
         cache, pure_solver2 = cache_and_solver()
         @timeit "c + s" time_build_and_solve(cache, pure_solver2, At, b, c)
-        
+
         GC.gc()
         full_solver = bridged_cached_solver()
         @timeit "bcs" time_build_and_solve(full_solver, full_solver, At, b, c)
-        
+
         GC.gc()
         full_solver = bridged_cached_solver()
         @timeit "bcs + v" time_build_and_solve(full_solver, full_solver, At, b, c, false)
-        
+
         GC.gc()
         cache_solver = cached_solver()
         @timeit "cs" time_build_and_solve(cache_solver, cache_solver, At, b, c)
@@ -153,4 +153,4 @@ function solve_GLPK(seed, data; time_limit_sec=Inf)
 end
 
 solve_GLPK(2, RandomLP(11, 11, 0.5); time_limit_sec=5)
-solve_GLPK(20, RandomLP(10000, 10000, 0.005); time_limit_sec=5)
\ No newline at end of file
+solve_GLPK(20, RandomLP(10000, 10000, 0.005); time_limit_sec=5)
diff --git a/src/MOI_wrapper/MOI_copy.jl b/src/MOI_wrapper/MOI_copy.jl
index 4e246f2..38dfa72 100644
--- a/src/MOI_wrapper/MOI_copy.jl
+++ b/src/MOI_wrapper/MOI_copy.jl
@@ -123,7 +123,7 @@ function _extract_row_data(src, mapping, lb, ub, I, J, V, ::Type{S}) where {S}
         for term in f.terms
             non_zeros += 1
             I[non_zeros] = row
-            J[non_zeros] = Cint(mapping[term.variable_index].value::Int64)
+            J[non_zeros] = Cint(mapping[term.variable].value::Int64)
             V[non_zeros] = term.coefficient
         end
         row += 1
@@ -134,7 +134,7 @@ function _extract_row_data(src, mapping, lb, ub, I, J, V, ::Type{S}) where {S}
 end
 
 function test_data(src, dest)
-    for (F, S) in MOI.get(src, MOI.ListOfConstraints())
+    for (F, S) in MOI.get(src, MOI.ListOfConstraintTypesPresent())
         if !MOI.supports_constraint(dest, F, S)
             throw(MOI.UnsupportedConstraint{F, S}("GLPK.Optimizer does not support constraints of type $F-in-$S."))
         end
@@ -235,7 +235,7 @@ function MOI.copy_to(
 end
 
 function pass_constraint_attributes(dest, src, copy_names, mapping)
-    ctr_types = MOI.get(src, MOI.ListOfConstraints())
+    ctr_types = MOI.get(src, MOI.ListOfConstraintTypesPresent())
     for (F,S) in ctr_types
         pass_constraint_attributes(dest, src, copy_names, mapping, F, S)
     end
diff --git a/src/MOI_wrapper/MOI_wrapper.jl b/src/MOI_wrapper/MOI_wrapper.jl
index 494a7d3..fca429e 100644
--- a/src/MOI_wrapper/MOI_wrapper.jl
+++ b/src/MOI_wrapper/MOI_wrapper.jl
@@ -420,7 +420,7 @@ function _indices_and_coefficients(
 )
     i = 1
     for term in f.terms
-        indices[i] = Cint(column(model, term.variable_index))
+        indices[i] = Cint(column(model, term.variable))
         coefficients[i] = term.coefficient
         i += 1
     end
@@ -602,7 +602,7 @@ function MOI.set(
     num_vars = length(model.variable_info)
     obj = zeros(Float64, num_vars)
     for term in f.terms
-        col = column(model, term.variable_index)
+        col = column(model, term.variable)
         obj[col] += term.coefficient
     end
     for (col, coef) in enumerate(obj)
@@ -1598,7 +1598,7 @@ end
 
 function MOI.get(model::Optimizer, attr::MOI.PrimalStatus)
     _throw_if_optimize_in_progress(model, attr)
-    if attr.N != 1
+    if attr.result_index != 1
         return MOI.NO_SOLUTION
     end
     (status, _) = _get_status(model)
@@ -1618,7 +1618,7 @@ end
 
 function MOI.get(model::Optimizer, attr::MOI.DualStatus)
     _throw_if_optimize_in_progress(model, attr)
-    if attr.N != 1 || model.last_solved_by_mip
+    if attr.result_index != 1 || model.last_solved_by_mip
         return MOI.NO_SOLUTION
     end
     (status, _) = _get_status(model)
@@ -1856,7 +1856,7 @@ function MOI.get(model::Optimizer, attr::MOI.RelativeGap)
     return model.relative_gap
 end
 
-function MOI.get(model::Optimizer, attr::MOI.SolveTime)
+function MOI.get(model::Optimizer, attr::MOI.SolveTimeSec)
     _throw_if_optimize_in_progress(model, attr)
     return model.solve_time
 end
@@ -1942,7 +1942,7 @@ function MOI.get(
     return sort!(indices, by = x -> x.value)
 end
 
-function MOI.get(model::Optimizer, ::MOI.ListOfConstraints)
+function MOI.get(model::Optimizer, ::MOI.ListOfConstraintTypesPresent)
     constraints = Set{Tuple{DataType, DataType}}()
     for info in values(model.variable_info)
         if info.bound == NONE