Introduce class result_options to carry result options through the request pipeline, which at this point mean the result type and the digest algorithm. This class allows us to encapsulate the concrete digest algorithm to use. Signed-off-by: Duarte Nunes <duarte@scylladb.com>
202 lines
7.1 KiB
C++
202 lines
7.1 KiB
C++
/*
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* Copyright (C) 2015 ScyllaDB
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*/
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/*
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* This file is part of Scylla.
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*
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* Scylla is free software: you can redistribute it and/or modify
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* it under the terms of the GNU Affero General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* Scylla is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with Scylla. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include "query-result-set.hh"
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#include "query-result-reader.hh"
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#include "partition_slice_builder.hh"
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#include "mutation.hh"
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namespace query {
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// Result set builder is passed as a visitor to query_result::consume()
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// function. You can call the build() method to obtain a result set that
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// contains cells from the visited results.
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class result_set_builder {
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schema_ptr _schema;
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const partition_slice& _slice;
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std::vector<result_set_row> _rows;
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std::unordered_map<sstring, data_value> _pkey_cells;
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uint32_t _row_count;
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public:
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// Keep slice live as long as the builder is used.
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result_set_builder(schema_ptr schema, const partition_slice& slice);
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result_set build() const;
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void accept_new_partition(const partition_key& key, uint32_t row_count);
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void accept_new_partition(uint32_t row_count);
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void accept_new_row(const clustering_key& key, const result_row_view& static_row, const result_row_view& row);
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void accept_new_row(const result_row_view &static_row, const result_row_view &row);
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void accept_partition_end(const result_row_view& static_row);
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private:
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std::unordered_map<sstring, data_value> deserialize(const partition_key& key);
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std::unordered_map<sstring, data_value> deserialize(const clustering_key& key);
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std::unordered_map<sstring, data_value> deserialize(const result_row_view& row, bool is_static);
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};
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std::ostream& operator<<(std::ostream& out, const result_set_row& row) {
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for (auto&& cell : row._cells) {
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auto&& type = cell.second.type();
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auto&& value = cell.second;
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out << cell.first << "=\"" << type->to_string(type->decompose(value)) << "\" ";
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}
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return out;
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}
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std::ostream& operator<<(std::ostream& out, const result_set& rs) {
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for (auto&& row : rs._rows) {
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out << row << std::endl;
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}
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return out;
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}
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result_set_builder::result_set_builder(schema_ptr schema, const partition_slice& slice)
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: _schema{schema}, _slice(slice)
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{ }
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result_set result_set_builder::build() const {
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return { _schema, _rows };
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}
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void result_set_builder::accept_new_partition(const partition_key& key, uint32_t row_count)
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{
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_pkey_cells = deserialize(key);
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accept_new_partition(row_count);
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}
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void result_set_builder::accept_new_partition(uint32_t row_count)
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{
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_row_count = row_count;
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}
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void result_set_builder::accept_new_row(const clustering_key& key, const result_row_view& static_row, const result_row_view& row)
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{
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auto ckey_cells = deserialize(key);
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auto static_cells = deserialize(static_row, true);
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auto regular_cells = deserialize(row, false);
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std::unordered_map<sstring, data_value> cells;
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cells.insert(_pkey_cells.begin(), _pkey_cells.end());
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cells.insert(ckey_cells.begin(), ckey_cells.end());
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cells.insert(static_cells.begin(), static_cells.end());
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cells.insert(regular_cells.begin(), regular_cells.end());
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_rows.emplace_back(_schema, std::move(cells));
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}
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void result_set_builder::accept_new_row(const query::result_row_view &static_row, const query::result_row_view &row)
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{
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auto static_cells = deserialize(static_row, true);
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auto regular_cells = deserialize(row, false);
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std::unordered_map<sstring, data_value> cells;
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cells.insert(_pkey_cells.begin(), _pkey_cells.end());
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cells.insert(static_cells.begin(), static_cells.end());
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cells.insert(regular_cells.begin(), regular_cells.end());
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_rows.emplace_back(_schema, std::move(cells));
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}
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void result_set_builder::accept_partition_end(const result_row_view& static_row)
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{
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if (_row_count == 0) {
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auto static_cells = deserialize(static_row, true);
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std::unordered_map<sstring, data_value> cells;
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cells.insert(_pkey_cells.begin(), _pkey_cells.end());
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cells.insert(static_cells.begin(), static_cells.end());
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_rows.emplace_back(_schema, std::move(cells));
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}
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_pkey_cells.clear();
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}
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std::unordered_map<sstring, data_value>
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result_set_builder::deserialize(const partition_key& key)
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{
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std::unordered_map<sstring, data_value> cells;
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auto i = key.begin(*_schema);
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for (auto&& col : _schema->partition_key_columns()) {
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cells.emplace(col.name_as_text(), col.type->deserialize_value(*i));
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++i;
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}
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return cells;
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}
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std::unordered_map<sstring, data_value>
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result_set_builder::deserialize(const clustering_key& key)
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{
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std::unordered_map<sstring, data_value> cells;
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auto i = key.begin(*_schema);
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for (auto&& col : _schema->clustering_key_columns()) {
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if (i == key.end(*_schema)) {
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break;
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}
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cells.emplace(col.name_as_text(), col.type->deserialize_value(*i));
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++i;
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}
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return cells;
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}
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std::unordered_map<sstring, data_value>
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result_set_builder::deserialize(const result_row_view& row, bool is_static)
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{
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std::unordered_map<sstring, data_value> cells;
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auto i = row.iterator();
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auto column_ids = is_static ? _slice.static_columns : _slice.regular_columns;
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auto columns = column_ids | boost::adaptors::transformed([this, is_static] (column_id id) -> const column_definition& {
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if (is_static) {
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return _schema->static_column_at(id);
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} else {
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return _schema->regular_column_at(id);
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}
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});
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for (auto &&col : columns) {
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if (col.is_atomic()) {
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auto cell = i.next_atomic_cell();
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if (cell) {
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auto view = cell.value();
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cells.emplace(col.name_as_text(), col.type->deserialize_value(view.value()));
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}
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} else {
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auto cell = i.next_collection_cell();
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if (cell) {
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auto ctype = static_pointer_cast<const collection_type_impl>(col.type);
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if (_slice.options.contains<partition_slice::option::collections_as_maps>()) {
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ctype = map_type_impl::get_instance(ctype->name_comparator(), ctype->value_comparator(), true);
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}
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cells.emplace(col.name_as_text(), ctype->deserialize_value(*cell, _slice.cql_format()));
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}
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}
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}
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return cells;
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}
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result_set
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result_set::from_raw_result(schema_ptr s, const partition_slice& slice, const result& r) {
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result_set_builder builder{std::move(s), slice};
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result_view::consume(r, slice, builder);
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return builder.build();
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}
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result_set::result_set(const mutation& m) : result_set([&m] {
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auto slice = partition_slice_builder(*m.schema()).build();
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auto qr = mutation(m).query(slice, result_options::only_result());
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return result_set::from_raw_result(m.schema(), slice, qr);
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}())
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{ }
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}
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