| /* |
| * Copyright (C) 2019 The Android Open Source Project |
| * |
| * Licensed under the Apache License, Version 2.0 (the "License"); |
| * you may not use this file except in compliance with the License. |
| * You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| |
| #ifndef SRC_TRACE_PROCESSOR_DB_TYPED_COLUMN_H_ |
| #define SRC_TRACE_PROCESSOR_DB_TYPED_COLUMN_H_ |
| |
| #include "src/trace_processor/db/column.h" |
| |
| namespace perfetto { |
| namespace trace_processor { |
| |
| // Represents a column containing data with the given type T. |
| // |
| // This class exists as a memberless subclass of Column (i.e. sizeof(Column) == |
| // sizeof(TypedColumn<T>)); this is because Columns are type erased but we still |
| // want low boilerplate methods to get/set rows in columns where we know the |
| // type. |
| template <typename T> |
| struct TypedColumn : public Column { |
| using StoredType = T; |
| |
| T operator[](uint32_t row) const { return *GetTyped<T>(row); } |
| void Set(uint32_t row, T value) { SetTyped(row, value); } |
| void Append(T value) { return mutable_sparse_vector<T>()->Append(value); } |
| }; |
| |
| template <typename T> |
| struct TypedColumn<base::Optional<T>> : public Column { |
| using StoredType = T; |
| |
| base::Optional<T> operator[](uint32_t row) const { return GetTyped<T>(row); } |
| void Set(uint32_t row, T value) { SetTyped(row, value); } |
| |
| void Append(base::Optional<T> value) { |
| return mutable_sparse_vector<T>()->Append(value); |
| } |
| }; |
| |
| template <> |
| struct TypedColumn<StringPool::Id> : public Column { |
| using StoredType = StringPool::Id; |
| |
| StringPool::Id operator[](uint32_t row) const { |
| return *GetTyped<StringPool::Id>(row); |
| } |
| NullTermStringView GetString(uint32_t row) const { |
| return GetStringPoolString(row); |
| } |
| void Set(uint32_t row, StringPool::Id value) { SetTyped(row, value); } |
| void Append(StringPool::Id value) { |
| return mutable_sparse_vector<StringPool::Id>()->Append(value); |
| } |
| }; |
| |
| template <> |
| struct TypedColumn<base::Optional<StringPool::Id>> |
| : public TypedColumn<StringPool::Id> { |
| void Append(base::Optional<StringPool::Id> value) { |
| // Since StringPool::Id == 0 is always treated as null, rewrite |
| // base::nullopt -> 0 to remove an extra check at filter time for |
| // base::nullopt. Instead, that code can assume that the SparseVector layer |
| // always returns a valid id and can handle the nullability at the |
| // stringpool level. |
| // TODO(lalitm): remove this special casing if we migrate all tables over |
| // to macro tables and find that we can remove support for null stringids |
| // in the stringpool. |
| return TypedColumn<StringPool::Id>::Append(value ? *value |
| : StringPool::Id(0u)); |
| } |
| }; |
| |
| } // namespace trace_processor |
| } // namespace perfetto |
| |
| #endif // SRC_TRACE_PROCESSOR_DB_TYPED_COLUMN_H_ |