memgraph/tests/unit/query_common.hpp

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///
/// @file
/// This file provides macros for easier construction of openCypher query AST.
/// The usage of macros is very similar to how one would write openCypher. For
/// example:
///
/// AstTreeStorage storage; // Macros rely on storage being in scope.
/// // PROPERTY_LOOKUP and PROPERTY_PAIR macros also rely on GraphDb
/// GraphDb db;
///
/// QUERY(MATCH(PATTERN(NODE("n"), EDGE("e"), NODE("m"))),
/// WHERE(LESS(PROPERTY_LOOKUP("e", edge_prop), LITERAL(3))),
/// RETURN(SUM(PROPERTY_LOOKUP("m", prop)), AS("sum"),
/// ORDER_BY(IDENT("sum")),
/// SKIP(ADD(LITERAL(1), LITERAL(2)))));
///
/// Each of the macros is accompanied by a function. The functions use overload
/// resolution and template magic to provide a type safe way of constructing
/// queries. Although the functions can be used by themselves, it is more
/// convenient to use the macros.
///
#pragma once
#include <map>
#include <string>
#include <unordered_map>
#include <utility>
#include <vector>
#include "database/graph_db_datatypes.hpp"
#include "query/frontend/ast/ast.hpp"
#include "query/interpret/awesome_memgraph_functions.hpp"
#include "utils/string.hpp"
namespace query {
namespace test_common {
template <typename T>
auto ToList(const TypedValue &t) {
std::vector<T> list;
for (auto x : t.Value<std::vector<TypedValue>>()) {
list.push_back(x.Value<T>());
}
return list;
};
template <typename TElement>
auto ToMap(const TypedValue &t) {
std::map<std::string, TElement> map;
for (const auto &kv : t.Value<std::map<std::string, TypedValue>>())
map.emplace(kv.first, kv.second.Value<TElement>());
return map;
};
// Custom types for ORDER BY, SKIP, LIMIT, ON MATCH and ON CREATE expressions,
// so that they can be used to resolve function calls.
struct OrderBy {
std::vector<std::pair<Ordering, Expression *>> expressions;
};
struct Skip {
Expression *expression = nullptr;
};
struct Limit {
Expression *expression = nullptr;
};
struct OnMatch {
std::vector<Clause *> set;
};
struct OnCreate {
std::vector<Clause *> set;
};
// Helper functions for filling the OrderBy with expressions.
auto FillOrderBy(OrderBy &order_by, Expression *expression,
Ordering ordering = Ordering::ASC) {
order_by.expressions.emplace_back(ordering, expression);
}
template <class... T>
auto FillOrderBy(OrderBy &order_by, Expression *expression, Ordering ordering,
T... rest) {
FillOrderBy(order_by, expression, ordering);
FillOrderBy(order_by, rest...);
}
template <class... T>
auto FillOrderBy(OrderBy &order_by, Expression *expression, T... rest) {
FillOrderBy(order_by, expression);
FillOrderBy(order_by, rest...);
}
///
/// Create OrderBy expressions.
///
/// The supported combination of arguments is: (Expression, [Ordering])+
/// Since the Ordering is optional, by default it is ascending.
///
template <class... T>
auto GetOrderBy(T... exprs) {
OrderBy order_by;
FillOrderBy(order_by, exprs...);
return order_by;
}
///
/// Create PropertyLookup with given name and property.
///
/// Name is used to create the Identifier which is used for property lookup.
///
auto GetPropertyLookup(AstTreeStorage &storage, GraphDb &db,
const std::string &name,
GraphDbTypes::Property property) {
GraphDbAccessor dba(db);
return storage.Create<PropertyLookup>(storage.Create<Identifier>(name),
dba.PropertyName(property), property);
}
auto GetPropertyLookup(AstTreeStorage &storage, GraphDb &db, Expression *expr,
GraphDbTypes::Property property) {
GraphDbAccessor dba(db);
return storage.Create<PropertyLookup>(expr, dba.PropertyName(property),
property);
}
auto GetPropertyLookup(
AstTreeStorage &storage, GraphDb &, const std::string &name,
const std::pair<std::string, GraphDbTypes::Property> &prop_pair) {
return storage.Create<PropertyLookup>(storage.Create<Identifier>(name),
prop_pair.first, prop_pair.second);
}
auto GetPropertyLookup(
AstTreeStorage &storage, GraphDb &, Expression *expr,
const std::pair<std::string, GraphDbTypes::Property> &prop_pair) {
return storage.Create<PropertyLookup>(expr, prop_pair.first,
prop_pair.second);
}
///
Variable expansion consolidaton Summary: - Removed BreadthFirstAtom, using EdgeAtom only with a Type enum. - Both variable expansions (breadth and depth first) now have mandatory inner node and edge Identifiers. - Both variable expansions use inline property filtering and support inline lambdas. - BFS and variable expansion now have the same planning process. - Planner modified in the following ways: - Variable expansions support inline property filtering (two filters added to all_filters, one for inline, one for post-expand). - Asserting against existing_edge since we don't support that anymore. - Edge and node symbols bound after variable expansion to disallow post-expand filters to get inlined. - Some things simplified due to different handling. - BreadthFirstExpand logical operator merged into ExpandVariable. Two Cursor classes remain and are dynamically chosen from. As part of planned planner refactor we should ensure that a filter is applied only once. The current implementation is very suboptimal for property filtering in variable expansions. @buda: we will start refactoring this these days. This current planner logic is too dense and complex. It is becoming technical debt. Most of the time I spent working on this has been spent figuring the planning out, and I still needed Teon's help at times. Implementing the correct and optimal version of query execution (avoiding multiple potentially expensive filterings) was out of reach also due to tech debt. Reviewers: buda, teon.banek Reviewed By: teon.banek Subscribers: pullbot, buda Differential Revision: https://phabricator.memgraph.io/D852
2017-10-05 17:25:52 +08:00
/// Create an EdgeAtom with given name, direction and edge_type.
///
/// Name is used to create the Identifier which is assigned to the edge.
///
auto GetEdge(AstTreeStorage &storage, const std::string &name,
Variable expansion consolidaton Summary: - Removed BreadthFirstAtom, using EdgeAtom only with a Type enum. - Both variable expansions (breadth and depth first) now have mandatory inner node and edge Identifiers. - Both variable expansions use inline property filtering and support inline lambdas. - BFS and variable expansion now have the same planning process. - Planner modified in the following ways: - Variable expansions support inline property filtering (two filters added to all_filters, one for inline, one for post-expand). - Asserting against existing_edge since we don't support that anymore. - Edge and node symbols bound after variable expansion to disallow post-expand filters to get inlined. - Some things simplified due to different handling. - BreadthFirstExpand logical operator merged into ExpandVariable. Two Cursor classes remain and are dynamically chosen from. As part of planned planner refactor we should ensure that a filter is applied only once. The current implementation is very suboptimal for property filtering in variable expansions. @buda: we will start refactoring this these days. This current planner logic is too dense and complex. It is becoming technical debt. Most of the time I spent working on this has been spent figuring the planning out, and I still needed Teon's help at times. Implementing the correct and optimal version of query execution (avoiding multiple potentially expensive filterings) was out of reach also due to tech debt. Reviewers: buda, teon.banek Reviewed By: teon.banek Subscribers: pullbot, buda Differential Revision: https://phabricator.memgraph.io/D852
2017-10-05 17:25:52 +08:00
EdgeAtom::Direction dir = EdgeAtom::Direction::BOTH,
const std::vector<GraphDbTypes::EdgeType> &edge_types = {}) {
return storage.Create<EdgeAtom>(storage.Create<Identifier>(name),
EdgeAtom::Type::SINGLE, dir, edge_types);
}
///
Variable expansion consolidaton Summary: - Removed BreadthFirstAtom, using EdgeAtom only with a Type enum. - Both variable expansions (breadth and depth first) now have mandatory inner node and edge Identifiers. - Both variable expansions use inline property filtering and support inline lambdas. - BFS and variable expansion now have the same planning process. - Planner modified in the following ways: - Variable expansions support inline property filtering (two filters added to all_filters, one for inline, one for post-expand). - Asserting against existing_edge since we don't support that anymore. - Edge and node symbols bound after variable expansion to disallow post-expand filters to get inlined. - Some things simplified due to different handling. - BreadthFirstExpand logical operator merged into ExpandVariable. Two Cursor classes remain and are dynamically chosen from. As part of planned planner refactor we should ensure that a filter is applied only once. The current implementation is very suboptimal for property filtering in variable expansions. @buda: we will start refactoring this these days. This current planner logic is too dense and complex. It is becoming technical debt. Most of the time I spent working on this has been spent figuring the planning out, and I still needed Teon's help at times. Implementing the correct and optimal version of query execution (avoiding multiple potentially expensive filterings) was out of reach also due to tech debt. Reviewers: buda, teon.banek Reviewed By: teon.banek Subscribers: pullbot, buda Differential Revision: https://phabricator.memgraph.io/D852
2017-10-05 17:25:52 +08:00
/// Create a variable length expansion EdgeAtom with given name, direction and
/// edge_type.
///
Variable expansion consolidaton Summary: - Removed BreadthFirstAtom, using EdgeAtom only with a Type enum. - Both variable expansions (breadth and depth first) now have mandatory inner node and edge Identifiers. - Both variable expansions use inline property filtering and support inline lambdas. - BFS and variable expansion now have the same planning process. - Planner modified in the following ways: - Variable expansions support inline property filtering (two filters added to all_filters, one for inline, one for post-expand). - Asserting against existing_edge since we don't support that anymore. - Edge and node symbols bound after variable expansion to disallow post-expand filters to get inlined. - Some things simplified due to different handling. - BreadthFirstExpand logical operator merged into ExpandVariable. Two Cursor classes remain and are dynamically chosen from. As part of planned planner refactor we should ensure that a filter is applied only once. The current implementation is very suboptimal for property filtering in variable expansions. @buda: we will start refactoring this these days. This current planner logic is too dense and complex. It is becoming technical debt. Most of the time I spent working on this has been spent figuring the planning out, and I still needed Teon's help at times. Implementing the correct and optimal version of query execution (avoiding multiple potentially expensive filterings) was out of reach also due to tech debt. Reviewers: buda, teon.banek Reviewed By: teon.banek Subscribers: pullbot, buda Differential Revision: https://phabricator.memgraph.io/D852
2017-10-05 17:25:52 +08:00
/// Name is used to create the Identifier which is assigned to the edge.
///
auto GetEdgeVariable(AstTreeStorage &storage, const std::string &name,
EdgeAtom::Direction dir = EdgeAtom::Direction::BOTH,
const std::vector<GraphDbTypes::EdgeType> &edge_types = {},
Identifier *inner_edge = nullptr,
Identifier *inner_node = nullptr) {
auto r_val =
storage.Create<EdgeAtom>(storage.Create<Identifier>(name),
EdgeAtom::Type::DEPTH_FIRST, dir, edge_types);
r_val->inner_edge_ = inner_edge ? inner_edge : storage.Create<Identifier>(
utils::RandomString(20));
r_val->inner_node_ = inner_node ? inner_node : storage.Create<Identifier>(
utils::RandomString(20));
Variable expansion consolidaton Summary: - Removed BreadthFirstAtom, using EdgeAtom only with a Type enum. - Both variable expansions (breadth and depth first) now have mandatory inner node and edge Identifiers. - Both variable expansions use inline property filtering and support inline lambdas. - BFS and variable expansion now have the same planning process. - Planner modified in the following ways: - Variable expansions support inline property filtering (two filters added to all_filters, one for inline, one for post-expand). - Asserting against existing_edge since we don't support that anymore. - Edge and node symbols bound after variable expansion to disallow post-expand filters to get inlined. - Some things simplified due to different handling. - BreadthFirstExpand logical operator merged into ExpandVariable. Two Cursor classes remain and are dynamically chosen from. As part of planned planner refactor we should ensure that a filter is applied only once. The current implementation is very suboptimal for property filtering in variable expansions. @buda: we will start refactoring this these days. This current planner logic is too dense and complex. It is becoming technical debt. Most of the time I spent working on this has been spent figuring the planning out, and I still needed Teon's help at times. Implementing the correct and optimal version of query execution (avoiding multiple potentially expensive filterings) was out of reach also due to tech debt. Reviewers: buda, teon.banek Reviewed By: teon.banek Subscribers: pullbot, buda Differential Revision: https://phabricator.memgraph.io/D852
2017-10-05 17:25:52 +08:00
return r_val;
}
///
/// Create a NodeAtom with given name and label.
///
/// Name is used to create the Identifier which is assigned to the node.
///
auto GetNode(AstTreeStorage &storage, const std::string &name,
std::experimental::optional<GraphDbTypes::Label> label =
std::experimental::nullopt) {
auto node = storage.Create<NodeAtom>(storage.Create<Identifier>(name));
if (label) node->labels_.emplace_back(*label);
return node;
}
///
/// Create a Pattern with given atoms.
///
auto GetPattern(AstTreeStorage &storage, std::vector<PatternAtom *> atoms) {
auto pattern = storage.Create<Pattern>();
pattern->identifier_ =
storage.Create<Identifier>(utils::RandomString(20), false);
pattern->atoms_.insert(pattern->atoms_.begin(), atoms.begin(), atoms.end());
return pattern;
}
///
/// Create a Pattern with given name and atoms.
///
auto GetPattern(AstTreeStorage &storage, const std::string &name,
std::vector<PatternAtom *> atoms) {
auto pattern = storage.Create<Pattern>();
pattern->identifier_ = storage.Create<Identifier>(name, true);
pattern->atoms_.insert(pattern->atoms_.begin(), atoms.begin(), atoms.end());
return pattern;
}
///
/// This function fills an AST node which with given patterns.
///
/// The function is most commonly used to create Match and Create clauses.
///
template <class TWithPatterns>
auto GetWithPatterns(TWithPatterns *with_patterns,
std::vector<Pattern *> patterns) {
with_patterns->patterns_.insert(with_patterns->patterns_.begin(),
patterns.begin(), patterns.end());
return with_patterns;
}
///
/// Create a query with given clauses.
///
auto GetQuery(AstTreeStorage &storage, Clause *clause) {
storage.query()->clauses_.emplace_back(clause);
return storage.query();
}
auto GetQuery(AstTreeStorage &storage, Match *match, Where *where) {
match->where_ = where;
storage.query()->clauses_.emplace_back(match);
return storage.query();
}
auto GetQuery(AstTreeStorage &storage, With *with, Where *where) {
with->where_ = where;
storage.query()->clauses_.emplace_back(with);
return storage.query();
}
template <class... T>
auto GetQuery(AstTreeStorage &storage, Match *match, Where *where,
T *... clauses) {
match->where_ = where;
storage.query()->clauses_.emplace_back(match);
return GetQuery(storage, clauses...);
}
template <class... T>
auto GetQuery(AstTreeStorage &storage, With *with, Where *where,
T *... clauses) {
with->where_ = where;
storage.query()->clauses_.emplace_back(with);
return GetQuery(storage, clauses...);
}
template <class... T>
auto GetQuery(AstTreeStorage &storage, Clause *clause, T *... clauses) {
storage.query()->clauses_.emplace_back(clause);
return GetQuery(storage, clauses...);
}
// Helper functions for constructing RETURN and WITH clauses.
void FillReturnBody(AstTreeStorage &, ReturnBody &body,
NamedExpression *named_expr) {
body.named_expressions.emplace_back(named_expr);
}
void FillReturnBody(AstTreeStorage &storage, ReturnBody &body,
const std::string &name) {
auto *ident = storage.Create<query::Identifier>(name);
auto *named_expr = storage.Create<query::NamedExpression>(name, ident);
body.named_expressions.emplace_back(named_expr);
}
void FillReturnBody(AstTreeStorage &, ReturnBody &body, Limit limit) {
body.limit = limit.expression;
}
void FillReturnBody(AstTreeStorage &, ReturnBody &body, Skip skip,
Limit limit = Limit{}) {
body.skip = skip.expression;
body.limit = limit.expression;
}
void FillReturnBody(AstTreeStorage &, ReturnBody &body, OrderBy order_by,
Limit limit = Limit{}) {
body.order_by = order_by.expressions;
body.limit = limit.expression;
}
void FillReturnBody(AstTreeStorage &, ReturnBody &body, OrderBy order_by,
Skip skip, Limit limit = Limit{}) {
body.order_by = order_by.expressions;
body.skip = skip.expression;
body.limit = limit.expression;
}
void FillReturnBody(AstTreeStorage &, ReturnBody &body, Expression *expr,
NamedExpression *named_expr) {
// This overload supports `RETURN(expr, AS(name))` construct, since
// NamedExpression does not inherit Expression.
named_expr->expression_ = expr;
body.named_expressions.emplace_back(named_expr);
}
void FillReturnBody(AstTreeStorage &storage, ReturnBody &body,
const std::string &name, NamedExpression *named_expr) {
named_expr->expression_ = storage.Create<query::Identifier>(name);
body.named_expressions.emplace_back(named_expr);
}
template <class... T>
void FillReturnBody(AstTreeStorage &storage, ReturnBody &body, Expression *expr,
NamedExpression *named_expr, T... rest) {
named_expr->expression_ = expr;
body.named_expressions.emplace_back(named_expr);
FillReturnBody(storage, body, rest...);
}
template <class... T>
void FillReturnBody(AstTreeStorage &storage, ReturnBody &body,
NamedExpression *named_expr, T... rest) {
body.named_expressions.emplace_back(named_expr);
FillReturnBody(storage, body, rest...);
}
template <class... T>
void FillReturnBody(AstTreeStorage &storage, ReturnBody &body,
const std::string &name, NamedExpression *named_expr,
T... rest) {
named_expr->expression_ = storage.Create<query::Identifier>(name);
body.named_expressions.emplace_back(named_expr);
FillReturnBody(storage, body, rest...);
}
template <class... T>
void FillReturnBody(AstTreeStorage &storage, ReturnBody &body,
const std::string &name, T... rest) {
auto *ident = storage.Create<query::Identifier>(name);
auto *named_expr = storage.Create<query::NamedExpression>(name, ident);
body.named_expressions.emplace_back(named_expr);
FillReturnBody(storage, body, rest...);
}
///
/// Create the return clause with given expressions.
///
/// The supported expression combination of arguments is:
///
/// (String | NamedExpression | (Expression NamedExpression))+
/// [OrderBy] [Skip] [Limit]
///
/// When the pair (Expression NamedExpression) is given, the Expression will be
/// moved inside the NamedExpression. This is done, so that the constructs like
/// RETURN(expr, AS("name"), ...) are supported. Taking a String is a shorthand
/// for RETURN(IDENT(string), AS(string), ....).
///
/// @sa GetWith
template <class... T>
auto GetReturn(AstTreeStorage &storage, bool distinct, T... exprs) {
auto ret = storage.Create<Return>();
ret->body_.distinct = distinct;
FillReturnBody(storage, ret->body_, exprs...);
return ret;
}
///
/// Create the with clause with given expressions.
///
/// The supported expression combination is the same as for @c GetReturn.
///
/// @sa GetReturn
template <class... T>
auto GetWith(AstTreeStorage &storage, bool distinct, T... exprs) {
auto with = storage.Create<With>();
with->body_.distinct = distinct;
FillReturnBody(storage, with->body_, exprs...);
return with;
}
///
/// Create the UNWIND clause with given named expression.
///
auto GetUnwind(AstTreeStorage &storage, NamedExpression *named_expr) {
return storage.Create<query::Unwind>(named_expr);
}
auto GetUnwind(AstTreeStorage &storage, Expression *expr, NamedExpression *as) {
as->expression_ = expr;
return GetUnwind(storage, as);
}
///
/// Create the delete clause with given named expressions.
///
auto GetDelete(AstTreeStorage &storage, std::vector<Expression *> exprs,
bool detach = false) {
auto del = storage.Create<Delete>();
del->expressions_.insert(del->expressions_.begin(), exprs.begin(),
exprs.end());
del->detach_ = detach;
return del;
}
///
/// Create a set property clause for given property lookup and the right hand
/// side expression.
///
auto GetSet(AstTreeStorage &storage, PropertyLookup *prop_lookup,
Expression *expr) {
return storage.Create<SetProperty>(prop_lookup, expr);
}
///
/// Create a set properties clause for given identifier name and the right hand
/// side expression.
///
auto GetSet(AstTreeStorage &storage, const std::string &name, Expression *expr,
bool update = false) {
return storage.Create<SetProperties>(storage.Create<Identifier>(name), expr,
update);
}
///
/// Create a set labels clause for given identifier name and labels.
///
auto GetSet(AstTreeStorage &storage, const std::string &name,
std::vector<GraphDbTypes::Label> labels) {
return storage.Create<SetLabels>(storage.Create<Identifier>(name), labels);
}
///
/// Create a remove property clause for given property lookup
///
auto GetRemove(AstTreeStorage &storage, PropertyLookup *prop_lookup) {
return storage.Create<RemoveProperty>(prop_lookup);
}
///
/// Create a remove labels clause for given identifier name and labels.
///
auto GetRemove(AstTreeStorage &storage, const std::string &name,
std::vector<GraphDbTypes::Label> labels) {
return storage.Create<RemoveLabels>(storage.Create<Identifier>(name), labels);
}
///
/// Create a Merge clause for given Pattern with optional OnMatch and OnCreate
/// parts.
///
auto GetMerge(AstTreeStorage &storage, Pattern *pattern,
OnCreate on_create = OnCreate{}) {
auto *merge = storage.Create<query::Merge>();
merge->pattern_ = pattern;
merge->on_create_ = on_create.set;
return merge;
}
auto GetMerge(AstTreeStorage &storage, Pattern *pattern, OnMatch on_match,
OnCreate on_create = OnCreate{}) {
auto *merge = storage.Create<query::Merge>();
merge->pattern_ = pattern;
merge->on_match_ = on_match.set;
merge->on_create_ = on_create.set;
return merge;
}
} // namespace test_common
} // namespace query
///
/// All the following macros implicitly pass `storage` variable to functions.
/// You need to have `AstTreeStorage storage;` somewhere in scope to use them.
/// Refer to function documentation to see what the macro does.
///
/// Example usage:
///
/// // Create MATCH (n) -[r]- (m) RETURN m AS new_name
/// AstTreeStorage storage;
/// auto query = QUERY(MATCH(PATTERN(NODE("n"), EDGE("r"), NODE("m"))),
/// RETURN(NEXPR("new_name"), IDENT("m")));
///
#define NODE(...) query::test_common::GetNode(storage, __VA_ARGS__)
#define EDGE(...) query::test_common::GetEdge(storage, __VA_ARGS__)
Variable expansion consolidaton Summary: - Removed BreadthFirstAtom, using EdgeAtom only with a Type enum. - Both variable expansions (breadth and depth first) now have mandatory inner node and edge Identifiers. - Both variable expansions use inline property filtering and support inline lambdas. - BFS and variable expansion now have the same planning process. - Planner modified in the following ways: - Variable expansions support inline property filtering (two filters added to all_filters, one for inline, one for post-expand). - Asserting against existing_edge since we don't support that anymore. - Edge and node symbols bound after variable expansion to disallow post-expand filters to get inlined. - Some things simplified due to different handling. - BreadthFirstExpand logical operator merged into ExpandVariable. Two Cursor classes remain and are dynamically chosen from. As part of planned planner refactor we should ensure that a filter is applied only once. The current implementation is very suboptimal for property filtering in variable expansions. @buda: we will start refactoring this these days. This current planner logic is too dense and complex. It is becoming technical debt. Most of the time I spent working on this has been spent figuring the planning out, and I still needed Teon's help at times. Implementing the correct and optimal version of query execution (avoiding multiple potentially expensive filterings) was out of reach also due to tech debt. Reviewers: buda, teon.banek Reviewed By: teon.banek Subscribers: pullbot, buda Differential Revision: https://phabricator.memgraph.io/D852
2017-10-05 17:25:52 +08:00
#define EDGE_VARIABLE(...) \
query::test_common::GetEdgeVariable(storage, __VA_ARGS__)
#define PATTERN(...) query::test_common::GetPattern(storage, {__VA_ARGS__})
#define NAMED_PATTERN(name, ...) \
query::test_common::GetPattern(storage, name, {__VA_ARGS__})
#define OPTIONAL_MATCH(...) \
query::test_common::GetWithPatterns(storage.Create<query::Match>(true), \
{__VA_ARGS__})
#define MATCH(...) \
query::test_common::GetWithPatterns(storage.Create<query::Match>(), \
{__VA_ARGS__})
#define WHERE(expr) storage.Create<query::Where>((expr))
#define CREATE(...) \
query::test_common::GetWithPatterns(storage.Create<query::Create>(), \
{__VA_ARGS__})
#define IDENT(name) storage.Create<query::Identifier>((name))
#define LITERAL(val) storage.Create<query::PrimitiveLiteral>((val))
#define LIST(...) \
storage.Create<query::ListLiteral>( \
std::vector<query::Expression *>{__VA_ARGS__})
#define MAP(...) \
storage.Create<query::MapLiteral>( \
std::unordered_map<std::pair<std::string, GraphDbTypes::Property>, \
query::Expression *>{__VA_ARGS__})
#define PROPERTY_PAIR(property_name) \
std::make_pair(property_name, GraphDbAccessor(db).Property(property_name))
#define PROPERTY_LOOKUP(...) \
query::test_common::GetPropertyLookup(storage, db, __VA_ARGS__)
#define NEXPR(name, expr) storage.Create<query::NamedExpression>((name), (expr))
// AS is alternative to NEXPR which does not initialize NamedExpression with
// Expression. It should be used with RETURN or WITH. For example:
// RETURN(IDENT("n"), AS("n")) vs. RETURN(NEXPR("n", IDENT("n"))).
#define AS(name) storage.Create<query::NamedExpression>((name))
#define RETURN(...) query::test_common::GetReturn(storage, false, __VA_ARGS__)
#define WITH(...) query::test_common::GetWith(storage, false, __VA_ARGS__)
#define RETURN_DISTINCT(...) \
query::test_common::GetReturn(storage, true, __VA_ARGS__)
#define WITH_DISTINCT(...) \
query::test_common::GetWith(storage, true, __VA_ARGS__)
#define UNWIND(...) query::test_common::GetUnwind(storage, __VA_ARGS__)
#define ORDER_BY(...) query::test_common::GetOrderBy(__VA_ARGS__)
#define SKIP(expr) \
query::test_common::Skip { (expr) }
#define LIMIT(expr) \
query::test_common::Limit { (expr) }
#define DELETE(...) query::test_common::GetDelete(storage, {__VA_ARGS__})
#define DETACH_DELETE(...) \
query::test_common::GetDelete(storage, {__VA_ARGS__}, true)
#define SET(...) query::test_common::GetSet(storage, __VA_ARGS__)
#define REMOVE(...) query::test_common::GetRemove(storage, __VA_ARGS__)
#define MERGE(...) query::test_common::GetMerge(storage, __VA_ARGS__)
#define ON_MATCH(...) \
query::test_common::OnMatch { \
std::vector<query::Clause *> { __VA_ARGS__ } \
}
#define ON_CREATE(...) \
query::test_common::OnCreate { \
std::vector<query::Clause *> { __VA_ARGS__ } \
}
#define CREATE_INDEX_ON(label, property) \
storage.Create<query::CreateIndex>((label), (property))
#define QUERY(...) query::test_common::GetQuery(storage, __VA_ARGS__)
// Various operators
#define ADD(expr1, expr2) \
storage.Create<query::AdditionOperator>((expr1), (expr2))
#define LESS(expr1, expr2) storage.Create<query::LessOperator>((expr1), (expr2))
#define LESS_EQ(expr1, expr2) \
storage.Create<query::LessEqualOperator>((expr1), (expr2))
#define GREATER(expr1, expr2) \
storage.Create<query::GreaterOperator>((expr1), (expr2))
#define GREATER_EQ(expr1, expr2) \
storage.Create<query::GreaterEqualOperator>((expr1), (expr2))
#define SUM(expr) \
storage.Create<query::Aggregation>((expr), nullptr, \
query::Aggregation::Op::SUM)
#define COUNT(expr) \
storage.Create<query::Aggregation>((expr), nullptr, \
query::Aggregation::Op::COUNT)
#define EQ(expr1, expr2) storage.Create<query::EqualOperator>((expr1), (expr2))
#define NEQ(expr1, expr2) \
storage.Create<query::NotEqualOperator>((expr1), (expr2))
#define AND(expr1, expr2) storage.Create<query::AndOperator>((expr1), (expr2))
#define OR(expr1, expr2) storage.Create<query::OrOperator>((expr1), (expr2))
// Function call
#define FN(function_name, ...) \
storage.Create<query::Function>( \
query::NameToFunction(utils::ToUpperCase(function_name)), \
std::vector<query::Expression *>{__VA_ARGS__})
// List slicing
#define SLICE(list, lower_bound, upper_bound) \
storage.Create<query::ListSlicingOperator>(list, lower_bound, upper_bound)
// all(variable IN list WHERE predicate)
#define ALL(variable, list, where) \
storage.Create<query::All>(storage.Create<query::Identifier>(variable), \
list, where)