edponce commented on a change in pull request #11257:
URL: https://github.com/apache/arrow/pull/11257#discussion_r717884569



##########
File path: cpp/src/arrow/compute/kernels/aggregate_basic.cc
##########
@@ -121,6 +122,101 @@ Result<std::unique_ptr<KernelState>> 
CountInit(KernelContext*,
       static_cast<const CountOptions&>(*args.options));
 }
 
+// ----------------------------------------------------------------------
+// Distinct Count implementation
+
+template <typename Type>
+struct CountDistinctImpl : public ScalarAggregator {
+  using MemoTable = typename arrow::internal::HashTraits<Type>::MemoTableType;
+
+  Status consume_memo(const ArrayData& arr) {
+    auto visit_null = [&]() {
+      //return string_builder.AppendNull();
+      return Status::OK();
+    };
+    auto visit_value = [&](typename Type::c_type arg) {
+      //ARROW_ASSIGN_OR_RAISE(auto formatted, formatter(arg));
+      //return string_builder.Append(std::move(formatted));
+      int y;
+      RETURN_NOT_OK(memo_table_->GetOrInsert(arg, &y));
+      //std::cout << "AAAAAAAAAAAAAADFFFFFFFFFFFFFFFFFF\n" << arg << "\n";
+      return Status::OK();
+    };
+    RETURN_NOT_OK(VisitArrayDataInline<Type>(arr, visit_value, visit_null));
+    return Status::OK();
+  }
+
+  explicit CountDistinctImpl(CountOptions options) : 
options(std::move(options)), memo_table_(new MemoTable(default_memory_pool(), 
0)) {
+  }
+
+  Status Consume(KernelContext* ctx, const ExecBatch& batch) override {
+    auto a = batch[0].make_array();
+    //std::cout << "LOTEEEEEEEEEEE\n" << a->ToString() << "\n";
+    
+    const ArrayData& arr = *batch[0].array();
+    
+    consume_memo(arr);
+    
+    //std::cout << "MEMOOOOOOOOOOOO\n" << this->memo_table_->size() << "\n";
+    this->result_countd += this->memo_table_->size();
+    return Status::OK();
+    //RETURN_NOT_OK(lookup_table->GetOrInsert());
+    
+    //ARROW_ASSIGN_OR_RAISE(auto grouper, 
internal::Grouper::Make(batch.GetDescriptors(), ctx->exec_context()));
+    //return grouper->Consume(batch).status();
+//    if (options.mode == CountOptions::ALL) {
+//      this->non_nulls += batch.length;
+//    } else if (batch[0].is_array()) {
+//      const ArrayData& input = *batch[0].array();
+//      const int64_t nulls = input.GetNullCount();
+//      this->nulls += nulls;
+//      this->non_nulls += input.length - nulls;
+//    } else {
+//      const Scalar& input = *batch[0].scalar();
+//      this->nulls += !input.is_valid * batch.length;
+//      this->non_nulls += input.is_valid * batch.length;
+//    }
+//    return Status::OK();
+  }
+
+  Status MergeFrom(KernelContext*, KernelState&& src) override {
+    const auto& other_state = checked_cast<const CountDistinctImpl&>(src);
+    //this->non_nulls += other_state.non_nulls;
+    //this->nulls += other_state.nulls;
+    this->result_countd += other_state.result_countd;
+    return Status::OK();
+  }
+
+  Status Finalize(KernelContext* ctx, Datum* out) override {
+    const auto& state = checked_cast<const CountDistinctImpl&>(*ctx->state());
+    switch (state.options.mode) {
+      case CountOptions::ONLY_VALID:
+      case CountOptions::ALL:
+        // ALL is equivalent since we don't count the null/non-null
+        // separately to avoid potentially computing null count
+        //*out = Datum(state.non_nulls);

Review comment:
       Well, I now saw the existing Count implementation that was already 
there. So ok if you are following the same behavior.




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