Files
scylladb/query-result-set.cc
2015-07-02 13:25:46 +02:00

163 lines
5.4 KiB
C++

/*
* Copyright 2015 Cloudius Systems
*/
#include "query-result-set.hh"
#include "query-result-reader.hh"
namespace query {
// Result set builder is passed as a visitor to query_result::consume()
// function. You can call the build() method to obtain a result set that
// contains cells from the visited results.
class result_set_builder {
schema_ptr _schema;
std::vector<result_set_row> _rows;
std::unordered_map<sstring, data_value> _pkey_cells;
public:
result_set_builder(schema_ptr schema);
result_set build() const;
void accept_new_partition(const partition_key& key, uint32_t row_count);
void accept_new_partition(uint32_t row_count);
void accept_new_row(const clustering_key& key, const result_row_view& static_row, const result_row_view& row);
void accept_new_row(const result_row_view &static_row, const result_row_view &row);
void accept_partition_end(const result_row_view& static_row);
private:
std::unordered_map<sstring, data_value> deserialize(const partition_key& key);
std::unordered_map<sstring, data_value> deserialize(const clustering_key& key);
std::unordered_map<sstring, data_value> deserialize(const result_row_view& row, bool is_static);
};
std::ostream& operator<<(std::ostream& out, const result_set_row& row) {
for (auto&& cell : row._cells) {
auto&& type = cell.second.type();
auto&& value = cell.second.value();
out << cell.first << "=\"" << type->decompose(value) << "\" ";
}
return out;
}
std::ostream& operator<<(std::ostream& out, const result_set& rs) {
for (auto&& row : rs._rows) {
out << row << std::endl;
}
return out;
}
result_set_builder::result_set_builder(schema_ptr schema)
: _schema{schema}
{ }
result_set result_set_builder::build() const {
return { _schema, _rows };
}
void result_set_builder::accept_new_partition(const partition_key& key, uint32_t row_count)
{
_pkey_cells = deserialize(key);
}
void result_set_builder::accept_new_partition(uint32_t row_count)
{
}
void result_set_builder::accept_new_row(const clustering_key& key, const result_row_view& static_row, const result_row_view& row)
{
auto ckey_cells = deserialize(key);
auto static_cells = deserialize(static_row, true);
auto regular_cells = deserialize(row, false);
std::unordered_map<sstring, data_value> cells;
cells.insert(_pkey_cells.begin(), _pkey_cells.end());
cells.insert(ckey_cells.begin(), ckey_cells.end());
cells.insert(static_cells.begin(), static_cells.end());
cells.insert(regular_cells.begin(), regular_cells.end());
_rows.emplace_back(_schema, std::move(cells));
}
void result_set_builder::accept_new_row(const query::result_row_view &static_row, const query::result_row_view &row)
{
auto static_cells = deserialize(static_row, true);
auto regular_cells = deserialize(row, false);
std::unordered_map<sstring, data_value> cells;
cells.insert(_pkey_cells.begin(), _pkey_cells.end());
cells.insert(static_cells.begin(), static_cells.end());
cells.insert(regular_cells.begin(), regular_cells.end());
_rows.emplace_back(_schema, std::move(cells));
}
void result_set_builder::accept_partition_end(const result_row_view& static_row)
{
_pkey_cells.clear();
}
std::unordered_map<sstring, data_value>
result_set_builder::deserialize(const partition_key& key)
{
std::unordered_map<sstring, data_value> cells;
auto i = key.begin(*_schema);
for (auto&& col : _schema->partition_key_columns()) {
cells.emplace(col.name_as_text(), col.type->deserialize_value(*i));
++i;
}
return cells;
}
std::unordered_map<sstring, data_value>
result_set_builder::deserialize(const clustering_key& key)
{
std::unordered_map<sstring, data_value> cells;
auto i = key.begin(*_schema);
for (auto&& col : _schema->clustering_key_columns()) {
cells.emplace(col.name_as_text(), col.type->deserialize_value(*i));
++i;
}
return cells;
}
std::unordered_map<sstring, data_value>
result_set_builder::deserialize(const result_row_view& row, bool is_static)
{
std::unordered_map<sstring, data_value> cells;
auto i = row.iterator();
auto columns = is_static ? _schema->static_columns() : _schema->regular_columns();
for (auto &&col : columns) {
if (col.is_atomic()) {
auto cell = i.next_atomic_cell();
if (cell) {
auto view = cell.value();
cells.emplace(col.name_as_text(), col.type->deserialize_value(view.value()));
}
} else {
auto cell = i.next_collection_cell();
if (cell) {
auto ctype = static_pointer_cast<const collection_type_impl>(col.type);
auto view = cell.value();
cells.emplace(col.name_as_text(), ctype->deserialize_value(view.data, serialization_format::internal()));
}
}
}
return cells;
}
result_set
result_set::from_raw_result(schema_ptr s, const partition_slice& slice, const result& r) {
auto make = [&slice, s = std::move(s)] (bytes_view v) mutable {
result_set_builder builder{std::move(s)};
result_view view(v);
view.consume(slice, builder);
return builder.build();
};
if (r.buf().is_linearized()) {
return make(r.buf().view());
} else {
// FIXME: make result_view::consume() work on fragments to avoid linearization.
bytes_ostream w(r.buf());
return make(w.linearize());
}
}
}