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/*
* 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_COLUMN_H_
#define SRC_TRACE_PROCESSOR_DB_COLUMN_H_
#include <stdint.h>
#include "perfetto/base/logging.h"
#include "perfetto/ext/base/optional.h"
#include "perfetto/trace_processor/basic_types.h"
#include "src/trace_processor/containers/row_map.h"
#include "src/trace_processor/containers/sparse_vector.h"
#include "src/trace_processor/db/compare.h"
#include "src/trace_processor/string_pool.h"
namespace perfetto {
namespace trace_processor {
// Represents the possible filter operations on a column.
enum class FilterOp {
kEq,
kNe,
kGt,
kLt,
kGe,
kLe,
kIsNull,
kIsNotNull,
kLike,
};
// Represents a constraint on a column.
struct Constraint {
uint32_t col_idx;
FilterOp op;
SqlValue value;
};
// Represents an order by operation on a column.
struct Order {
uint32_t col_idx;
bool desc;
};
// Represents a column which is to be joined on.
struct JoinKey {
uint32_t col_idx;
};
class Table;
// Represents a named, strongly typed list of data.
class Column {
public:
// Flags which indicate properties of the data in the column. These features
// are used to speed up column methods like filtering/sorting.
enum Flag : uint32_t {
// Indicates that this column has no special properties.
kNoFlag = 0,
// Indicates the data in the column is sorted. This can be used to speed
// up filtering and skip sorting.
kSorted = 1 << 0,
// Indicates the data in the column is non-null. That is, the SparseVector
// passed in will never have any null entries. This is only used for
// numeric columns (string columns and id columns both have special
// handling which ignores this flag).
//
// This is used to speed up filters as we can safely index SparseVector
// directly if this flag is set.
kNonNull = 1 << 1,
};
template <typename T>
Column(const char* name,
SparseVector<T>* storage,
/* Flag */ uint32_t flags,
Table* table,
uint32_t col_idx_in_table,
uint32_t row_map_idx)
: Column(name,
ToColumnType<T>(),
flags,
table,
col_idx_in_table,
row_map_idx,
storage) {}
// Create a Column has the same name and is backed by the same data as
// |column| but is associated to a different table.
Column(const Column& column,
Table* table,
uint32_t col_idx_in_table,
uint32_t row_map_idx);
// Columns are movable but not copyable.
Column(Column&&) noexcept = default;
Column& operator=(Column&&) = default;
// Creates a Column which returns the index as the value of the row.
static Column IdColumn(Table* table,
uint32_t col_idx_in_table,
uint32_t row_map_idx);
// Gets the value of the Column at the given |row|.
SqlValue Get(uint32_t row) const { return GetAtIdx(row_map().Get(row)); }
// Returns the row containing the given value in the Column.
base::Optional<uint32_t> IndexOf(SqlValue value) const {
switch (type_) {
// TODO(lalitm): investigate whether we could make this more efficient
// by first checking the type of the column and comparing explicitly
// based on that type.
case ColumnType::kInt32:
case ColumnType::kUint32:
case ColumnType::kInt64:
case ColumnType::kDouble:
case ColumnType::kString: {
for (uint32_t i = 0; i < row_map().size(); i++) {
if (compare::SqlValue(Get(i), value) == 0)
return i;
}
return base::nullopt;
}
case ColumnType::kId: {
if (value.type != SqlValue::Type::kLong)
return base::nullopt;
return row_map().IndexOf(static_cast<uint32_t>(value.long_value));
}
}
PERFETTO_FATAL("For GCC");
}
// Sorts |idx| in ascending or descending order (determined by |desc|) based
// on the contents of this column.
void StableSort(bool desc, std::vector<uint32_t>* idx) const;
// Updates the given RowMap by only keeping rows where this column meets the
// given filter constraint.
void FilterInto(FilterOp op, SqlValue value, RowMap* rm) const {
if (IsId() && op == FilterOp::kEq) {
// If this is an equality constraint on an id column, try and find the
// single row with the id (if it exists).
auto opt_idx = IndexOf(value);
if (opt_idx) {
rm->Intersect(RowMap::SingleRow(*opt_idx));
} else {
rm->Intersect(RowMap());
}
return;
}
if (IsSorted() && value.type == type()) {
// If the column is sorted and the value has the same type as the column,
// we should be able to just do a binary search to find the range of rows
// instead of a full table scan.
bool handled = FilterIntoSorted(op, value, rm);
if (handled)
return;
}
FilterIntoSlow(op, value, rm);
}
// Returns true if this column is considered an id column.
bool IsId() const { return type_ == ColumnType::kId; }
// Returns true if this column is a nullable column.
bool IsNullable() const { return (flags_ & Flag::kNonNull) == 0; }
// Returns true if this column is a sorted column.
bool IsSorted() const { return (flags_ & Flag::kSorted) != 0; }
// Returns the backing RowMap for this Column.
// This function is defined out of line because of a circular dependency
// between |Table| and |Column|.
const RowMap& row_map() const;
// Returns the name of the column.
const char* name() const { return name_; }
// Returns the type of this Column in terms of SqlValue::Type.
SqlValue::Type type() const {
switch (type_) {
case ColumnType::kInt32:
case ColumnType::kUint32:
case ColumnType::kInt64:
case ColumnType::kId:
return SqlValue::Type::kLong;
case ColumnType::kDouble:
return SqlValue::Type::kDouble;
case ColumnType::kString:
return SqlValue::Type::kString;
}
PERFETTO_FATAL("For GCC");
}
// Returns the index of the current column in the containing table.
uint32_t index_in_table() const { return col_idx_in_table_; }
// Returns a Constraint for each type of filter operation for this Column.
Constraint eq_value(SqlValue value) const {
return Constraint{col_idx_in_table_, FilterOp::kEq, value};
}
Constraint gt_value(SqlValue value) const {
return Constraint{col_idx_in_table_, FilterOp::kGt, value};
}
Constraint lt_value(SqlValue value) const {
return Constraint{col_idx_in_table_, FilterOp::kLt, value};
}
Constraint ne_value(SqlValue value) const {
return Constraint{col_idx_in_table_, FilterOp::kNe, value};
}
Constraint ge_value(SqlValue value) const {
return Constraint{col_idx_in_table_, FilterOp::kGe, value};
}
Constraint le_value(SqlValue value) const {
return Constraint{col_idx_in_table_, FilterOp::kLe, value};
}
Constraint is_not_null() const {
return Constraint{col_idx_in_table_, FilterOp::kIsNotNull, SqlValue()};
}
Constraint is_null() const {
return Constraint{col_idx_in_table_, FilterOp::kIsNull, SqlValue()};
}
// Returns an Order for each Order type for this Column.
Order ascending() const { return Order{col_idx_in_table_, false}; }
Order descending() const { return Order{col_idx_in_table_, true}; }
// Returns the JoinKey for this Column.
JoinKey join_key() const { return JoinKey{col_idx_in_table_}; }
protected:
// Returns the string at the index |idx|.
// Should only be called when |type_| == ColumnType::kString.
NullTermStringView GetStringPoolStringAtIdx(uint32_t idx) const {
PERFETTO_DCHECK(type_ == ColumnType::kString);
return string_pool_->Get(sparse_vector<StringPool::Id>().GetNonNull(idx));
}
// Returns the backing sparse vector cast to contain data of type T.
// Should only be called when |type_| == ToColumnType<T>().
template <typename T>
SparseVector<T>* mutable_sparse_vector() {
PERFETTO_DCHECK(ToColumnType<T>() == type_);
return static_cast<SparseVector<T>*>(sparse_vector_);
}
// Returns the backing sparse vector cast to contain data of type T.
// Should only be called when |type_| == ToColumnType<T>().
template <typename T>
const SparseVector<T>& sparse_vector() const {
PERFETTO_DCHECK(ToColumnType<T>() == type_);
return *static_cast<const SparseVector<T>*>(sparse_vector_);
}
// Converts a primitive numeric value to an SqlValue of the correct type.
template <typename T>
static SqlValue NumericToSqlValue(T value) {
if (std::is_same<T, double>::value) {
return SqlValue::Double(value);
} else if (std::is_convertible<T, int64_t>::value) {
return SqlValue::Long(value);
}
PERFETTO_FATAL("Invalid type");
}
private:
enum class ColumnType {
// Standard primitive types.
kInt32,
kUint32,
kInt64,
kDouble,
kString,
// Types generated on the fly.
kId,
};
// Iterator over a column which conforms to std iterator interface
// to allow using std algorithms (e.g. upper_bound, lower_bound etc.).
class Iterator {
public:
using iterator_category = std::random_access_iterator_tag;
using value_type = SqlValue;
using difference_type = uint32_t;
using pointer = uint32_t*;
using reference = uint32_t&;
Iterator(const Column* col, uint32_t row) : col_(col), row_(row) {}
Iterator(const Iterator&) = default;
Iterator& operator=(const Iterator&) = default;
bool operator==(const Iterator& other) const { return other.row_ == row_; }
bool operator!=(const Iterator& other) const { return !(*this == other); }
bool operator<(const Iterator& other) const { return other.row_ < row_; }
bool operator>(const Iterator& other) const { return other < *this; }
bool operator<=(const Iterator& other) const { return !(other < *this); }
bool operator>=(const Iterator& other) const { return !(*this < other); }
SqlValue operator*() const { return col_->Get(row_); }
Iterator& operator++() {
row_++;
return *this;
}
Iterator& operator--() {
row_--;
return *this;
}
Iterator& operator+=(uint32_t diff) {
row_ += diff;
return *this;
}
uint32_t operator-(const Iterator& other) { return row_ - other.row_; }
private:
const Column* col_ = nullptr;
uint32_t row_ = 0;
};
friend class Table;
// Base constructor for this class which all other constructors call into.
Column(const char* name,
ColumnType type,
uint32_t flags,
Table* table,
uint32_t col_idx_in_table,
uint32_t row_map_idx,
void* sparse_vector);
Column(const Column&) = delete;
Column& operator=(const Column&) = delete;
// Gets the value of the Column at the given |row|.
SqlValue GetAtIdx(uint32_t idx) const {
switch (type_) {
case ColumnType::kInt32: {
auto opt_value = sparse_vector<int32_t>().Get(idx);
return opt_value ? SqlValue::Long(*opt_value) : SqlValue();
}
case ColumnType::kUint32: {
auto opt_value = sparse_vector<uint32_t>().Get(idx);
return opt_value ? SqlValue::Long(*opt_value) : SqlValue();
}
case ColumnType::kInt64: {
auto opt_value = sparse_vector<int64_t>().Get(idx);
return opt_value ? SqlValue::Long(*opt_value) : SqlValue();
}
case ColumnType::kDouble: {
auto opt_value = sparse_vector<double>().Get(idx);
return opt_value ? SqlValue::Double(*opt_value) : SqlValue();
}
case ColumnType::kString: {
auto str = GetStringPoolStringAtIdx(idx).c_str();
return str == nullptr ? SqlValue() : SqlValue::String(str);
}
case ColumnType::kId:
return SqlValue::Long(idx);
}
PERFETTO_FATAL("For GCC");
}
// Optimized filter method for sorted columns.
// Returns whether the constraint was handled by the method.
bool FilterIntoSorted(FilterOp op, SqlValue value, RowMap* rm) const {
PERFETTO_DCHECK(IsSorted());
PERFETTO_DCHECK(value.type == type());
Iterator b(this, 0);
Iterator e(this, row_map().size());
switch (op) {
case FilterOp::kEq: {
uint32_t beg = std::distance(
b, std::lower_bound(b, e, value, &compare::SqlValueComparator));
uint32_t end = std::distance(
b, std::upper_bound(b, e, value, &compare::SqlValueComparator));
rm->Intersect(RowMap(beg, end));
return true;
}
case FilterOp::kLe: {
uint32_t end = std::distance(
b, std::upper_bound(b, e, value, &compare::SqlValueComparator));
rm->Intersect(RowMap(0, end));
return true;
}
case FilterOp::kLt: {
uint32_t end = std::distance(
b, std::lower_bound(b, e, value, &compare::SqlValueComparator));
rm->Intersect(RowMap(0, end));
return true;
}
case FilterOp::kGe: {
uint32_t beg = std::distance(
b, std::lower_bound(b, e, value, &compare::SqlValueComparator));
rm->Intersect(RowMap(beg, row_map().size()));
return true;
}
case FilterOp::kGt: {
uint32_t beg = std::distance(
b, std::upper_bound(b, e, value, &compare::SqlValueComparator));
rm->Intersect(RowMap(beg, row_map().size()));
return true;
}
case FilterOp::kNe:
case FilterOp::kIsNull:
case FilterOp::kIsNotNull:
case FilterOp::kLike:
break;
}
return false;
}
// Slow path filter method which will perform a full table scan.
void FilterIntoSlow(FilterOp op, SqlValue value, RowMap* rm) const;
// Slow path filter method for numerics which will perform a full table scan.
template <typename T, bool is_nullable>
void FilterIntoNumericSlow(FilterOp op, SqlValue value, RowMap* rm) const;
// Slow path filter method for numerics with a comparator which will perform a
// full table scan.
template <typename T, bool is_nullable, typename Comparator = int(T)>
void FilterIntoNumericWithComparatorSlow(FilterOp op,
RowMap* rm,
Comparator cmp) const;
// Slow path filter method for strings which will perform a full table scan.
void FilterIntoStringSlow(FilterOp op, SqlValue value, RowMap* rm) const;
// Slow path filter method for ids which will perform a full table scan.
void FilterIntoIdSlow(FilterOp op, SqlValue value, RowMap* rm) const;
// Stable sorts this column storing the result in |out|.
template <bool desc>
void StableSort(std::vector<uint32_t>* out) const;
// Stable sorts this column storing the result in |out|.
// |T| and |is_nullable| should match the type and nullability of this column.
template <bool desc, typename T, bool is_nullable>
void StableSortNumeric(std::vector<uint32_t>* out) const;
template <typename T>
static ColumnType ToColumnType() {
if (std::is_same<T, uint32_t>::value) {
return ColumnType::kUint32;
} else if (std::is_same<T, int64_t>::value) {
return ColumnType::kInt64;
} else if (std::is_same<T, int32_t>::value) {
return ColumnType::kInt32;
} else if (std::is_same<T, StringPool::Id>::value) {
return ColumnType::kString;
} else if (std::is_same<T, double>::value) {
return ColumnType::kDouble;
} else {
PERFETTO_FATAL("Unsupported type of column");
}
}
// type_ is used to cast sparse_vector_ to the correct type.
ColumnType type_ = ColumnType::kInt64;
void* sparse_vector_ = nullptr;
const char* name_ = nullptr;
uint32_t flags_ = Flag::kNoFlag;
const Table* table_ = nullptr;
uint32_t col_idx_in_table_ = 0;
uint32_t row_map_idx_ = 0;
const StringPool* string_pool_ = nullptr;
};
} // namespace trace_processor
} // namespace perfetto
#endif // SRC_TRACE_PROCESSOR_DB_COLUMN_H_