diff options
Diffstat (limited to 'redis/commands/graph')
| -rw-r--r-- | redis/commands/graph/commands.py | 52 | ||||
| -rw-r--r-- | redis/commands/graph/execution_plan.py | 208 |
2 files changed, 239 insertions, 21 deletions
diff --git a/redis/commands/graph/commands.py b/redis/commands/graph/commands.py index 157f628..baed1fc 100644 --- a/redis/commands/graph/commands.py +++ b/redis/commands/graph/commands.py @@ -2,6 +2,7 @@ from redis import DataError from redis.exceptions import ResponseError from .exceptions import VersionMismatchException +from .execution_plan import ExecutionPlan from .query_result import QueryResult @@ -118,27 +119,6 @@ class GraphCommands: self.nodes = {} self.edges = [] - def explain(self, query, params=None): - """ - Get the execution plan for given query, - Returns an array of operations. - For more information see `GRAPH.EXPLAIN <https://oss.redis.com/redisgraph/master/commands/#graphexplain>`_. # noqa - - Args: - - query: - The query that will be executed. - params: dict - Query parameters. - """ - if params is not None: - query = self._build_params_header(params) + query - - plan = self.execute_command("GRAPH.EXPLAIN", self.name, query) - if isinstance(plan[0], bytes): - plan = [b.decode() for b in plan] - return "\n".join(plan) - def bulk(self, **kwargs): """Internal only. Not supported.""" raise NotImplementedError( @@ -200,3 +180,33 @@ class GraphCommands: For more information see `GRAPH.LIST <https://oss.redis.com/redisgraph/master/commands/#graphlist>`_. # noqa """ return self.execute_command("GRAPH.LIST") + + def execution_plan(self, query, params=None): + """ + Get the execution plan for given query, + GRAPH.EXPLAIN returns an array of operations. + + Args: + query: the query that will be executed + params: query parameters + """ + if params is not None: + query = self._build_params_header(params) + query + + plan = self.execute_command("GRAPH.EXPLAIN", self.name, query) + return "\n".join(plan) + + def explain(self, query, params=None): + """ + Get the execution plan for given query, + GRAPH.EXPLAIN returns ExecutionPlan object. + + Args: + query: the query that will be executed + params: query parameters + """ + if params is not None: + query = self._build_params_header(params) + query + + plan = self.execute_command("GRAPH.EXPLAIN", self.name, query) + return ExecutionPlan(plan) diff --git a/redis/commands/graph/execution_plan.py b/redis/commands/graph/execution_plan.py new file mode 100644 index 0000000..a9b4ad0 --- /dev/null +++ b/redis/commands/graph/execution_plan.py @@ -0,0 +1,208 @@ +import re + + +class ProfileStats: + """ + ProfileStats, runtime execution statistics of operation. + """ + + def __init__(self, records_produced, execution_time): + self.records_produced = records_produced + self.execution_time = execution_time + + +class Operation: + """ + Operation, single operation within execution plan. + """ + + def __init__(self, name, args=None, profile_stats=None): + """ + Create a new operation. + + Args: + name: string that represents the name of the operation + args: operation arguments + profile_stats: profile statistics + """ + self.name = name + self.args = args + self.profile_stats = profile_stats + self.children = [] + + def append_child(self, child): + if not isinstance(child, Operation) or self is child: + raise Exception("child must be Operation") + + self.children.append(child) + return self + + def child_count(self): + return len(self.children) + + def __eq__(self, o: object) -> bool: + if not isinstance(o, Operation): + return False + + return self.name == o.name and self.args == o.args + + def __str__(self) -> str: + args_str = "" if self.args is None else " | " + self.args + return f"{self.name}{args_str}" + + +class ExecutionPlan: + """ + ExecutionPlan, collection of operations. + """ + + def __init__(self, plan): + """ + Create a new execution plan. + + Args: + plan: array of strings that represents the collection operations + the output from GRAPH.EXPLAIN + """ + if not isinstance(plan, list): + raise Exception("plan must be an array") + + self.plan = plan + self.structured_plan = self._operation_tree() + + def _compare_operations(self, root_a, root_b): + """ + Compare execution plan operation tree + + Return: True if operation trees are equal, False otherwise + """ + + # compare current root + if root_a != root_b: + return False + + # make sure root have the same number of children + if root_a.child_count() != root_b.child_count(): + return False + + # recursively compare children + for i in range(root_a.child_count()): + if not self._compare_operations(root_a.children[i], root_b.children[i]): + return False + + return True + + def __str__(self) -> str: + def aggraget_str(str_children): + return "\n".join( + [ + " " + line + for str_child in str_children + for line in str_child.splitlines() + ] + ) + + def combine_str(x, y): + return f"{x}\n{y}" + + return self._operation_traverse( + self.structured_plan, str, aggraget_str, combine_str + ) + + def __eq__(self, o: object) -> bool: + """Compares two execution plans + + Return: True if the two plans are equal False otherwise + """ + # make sure 'o' is an execution-plan + if not isinstance(o, ExecutionPlan): + return False + + # get root for both plans + root_a = self.structured_plan + root_b = o.structured_plan + + # compare execution trees + return self._compare_operations(root_a, root_b) + + def _operation_traverse(self, op, op_f, aggregate_f, combine_f): + """ + Traverse operation tree recursively applying functions + + Args: + op: operation to traverse + op_f: function applied for each operation + aggregate_f: aggregation function applied for all children of a single operation + combine_f: combine function applied for the operation result and the children result + """ # noqa + # apply op_f for each operation + op_res = op_f(op) + if len(op.children) == 0: + return op_res # no children return + else: + # apply _operation_traverse recursively + children = [ + self._operation_traverse(child, op_f, aggregate_f, combine_f) + for child in op.children + ] + # combine the operation result with the children aggregated result + return combine_f(op_res, aggregate_f(children)) + + def _operation_tree(self): + """Build the operation tree from the string representation""" + + # initial state + i = 0 + level = 0 + stack = [] + current = None + + def _create_operation(args): + profile_stats = None + name = args[0].strip() + args.pop(0) + if len(args) > 0 and "Records produced" in args[-1]: + records_produced = int( + re.search("Records produced: (\\d+)", args[-1]).group(1) + ) + execution_time = float( + re.search("Execution time: (\\d+.\\d+) ms", args[-1]).group(1) + ) + profile_stats = ProfileStats(records_produced, execution_time) + args.pop(-1) + return Operation( + name, None if len(args) == 0 else args[0].strip(), profile_stats + ) + + # iterate plan operations + while i < len(self.plan): + current_op = self.plan[i] + op_level = current_op.count(" ") + if op_level == level: + # if the operation level equal to the current level + # set the current operation and move next + child = _create_operation(current_op.split("|")) + if current: + current = stack.pop() + current.append_child(child) + current = child + i += 1 + elif op_level == level + 1: + # if the operation is child of the current operation + # add it as child and set as current operation + child = _create_operation(current_op.split("|")) + current.append_child(child) + stack.append(current) + current = child + level += 1 + i += 1 + elif op_level < level: + # if the operation is not child of current operation + # go back to it's parent operation + levels_back = level - op_level + 1 + for _ in range(levels_back): + current = stack.pop() + level -= levels_back + else: + raise Exception("corrupted plan") + return stack[0] |