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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,93 @@ | ||
| from pystellardb import stellar_hive | ||
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| def pagerank(cursor, | ||
| graph_name, | ||
| damping_factor=0.85, | ||
| rounds=10, | ||
| limit=None, | ||
| view_path='/tmp/algo_test/centrality/ppr', | ||
| reuseGraph=True): | ||
| algo_cypher1 = "create query temporary graph view algo_test as (a) [b] with graph_pagerank" \ | ||
| "(@algo_test, '{}', ".format(view_path) | ||
| algo_cypher1 += " '{" | ||
| algo_cypher2 = "reuseGraph:{}, factor:{}, rounds:{}".format(str(reuseGraph).lower(), damping_factor, rounds) | ||
| algo_cypher2 += "}') as unapply(vertex, rank) \n" | ||
| if limit is None: | ||
| algo_cypher3 = "return node_rk_to_uid(vertex) as vid, rank order by rank desc" | ||
| elif isinstance(limit, (int, str)): | ||
| algo_cypher3 = "return node_rk_to_uid(vertex) as vid, rank order by rank desc limit {}".format(limit) | ||
| else: | ||
| raise TypeError("参数limit必须是int或str类型！") | ||
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| algo_cypher = algo_cypher1 + algo_cypher2 + algo_cypher3 | ||
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| cursor.execute('config query.lang cypher') | ||
| cursor.execute('config crux.execution.mode analysis') | ||
| cursor.execute('use graph {}'.format(graph_name)) | ||
| print("Executing cypher:") | ||
| print(algo_cypher + "\n") | ||
| cursor.execute(algo_cypher) | ||
| query_results = cursor.fetchall() | ||
| results = [] | ||
| for j, query_result in enumerate(query_results): | ||
| vid = query_result[0] | ||
| pr = query_result[1] | ||
| results.append((vid, pr)) | ||
| return results | ||
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| def personalized_pagerank(cursor, | ||
| graph_name, | ||
| personalization, | ||
| damping_factor=0.85, | ||
| rounds=10, | ||
| limit=None, | ||
| view_path='/tmp/algo_test/centrality/ppr/', | ||
| reuseGraph=True): | ||
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| decl_cypher1 = "decl sourceNodes:list[bytes]" | ||
| decl_cypher2 = "sourceNodes:= match (a) where uid(a) in {} return collect(id(a))" .format(str(personalization)) | ||
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| algo_cypher1 = "create query temporary graph view algo_test as (a) [b] with graph_personalized_pagerank" \ | ||
| "(@algo_test, '{}', @sourceNodes, ".format(view_path) | ||
| algo_cypher1 += " '{" | ||
| algo_cypher2 = "reuseGraph:{}, factor:{}, rounds:{}".format(str(reuseGraph).lower(), damping_factor, rounds) | ||
| algo_cypher2 += "}') as unapply(vertex, rank) \n" | ||
| if limit is None: | ||
| algo_cypher3 = "return node_rk_to_uid(vertex) as vid, rank order by rank desc" | ||
| elif isinstance(limit, (int, str)): | ||
| algo_cypher3 = "return node_rk_to_uid(vertex) as vid, rank order by rank desc limit {}".format(limit) | ||
| else: | ||
| raise TypeError("参数limit必须是int或str类型！") | ||
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| algo_cypher = algo_cypher1 + algo_cypher2 + algo_cypher3 | ||
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| cursor.execute('config query.lang cypher') | ||
| cursor.execute('config crux.execution.mode analysis') | ||
| cursor.execute('use graph {}'.format(graph_name)) | ||
| cursor.execute(decl_cypher1) | ||
| cursor.execute(decl_cypher2) | ||
| print("Executing cypher:") | ||
| print(algo_cypher + "\n") | ||
| cursor.execute(algo_cypher) | ||
| query_results = cursor.fetchall() | ||
| results = [] | ||
| for j, query_result in enumerate(query_results): | ||
| vid = query_result[0] | ||
| pr = query_result[1] | ||
| results.append((vid, pr)) | ||
| return results | ||
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| conn = stellar_hive.StellarConnection(host="host1", | ||
| port=10000, | ||
| graph_name='pokemon', | ||
| auth="KERBEROS", | ||
| kerberos_service_name='hive') | ||
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| cur = conn.cursor() | ||
| result1 = pagerank(cur, "family", reuseGraph=False) | ||
| result2 = personalized_pagerank(cur, "family", ["1", "2"]) | ||
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| print("done") |
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