Github user orhankislal commented on a diff in the pull request:
https://github.com/apache/incubator-madlib/pull/112#discussion_r111033008
--- Diff: src/ports/postgres/modules/graph/pagerank.py_in ---
@@ -158,44 +313,198 @@ def pagerank(schema_madlib, vertex_table, vertex_id,
edge_table, edge_args,
# https://en.wikipedia.org/wiki/PageRank#Damping_factor
# The query below computes the PageRank of each node using the
above formula.
+ # A small explanatory note on ignore_group_clause:
+ # This is used only when grouping is set. This essentially will
have
+ # the condition that will help skip the PageRank computation on
groups
+ # that have converged.
plpy.execute("""
CREATE TABLE {message} AS
- SELECT {edge_temp_table}.{dest} AS {vertex_id},
-
SUM({v1}.pagerank/{out_cnts}.{out_cnts_cnt})*{damping_factor}+{random_prob} AS
pagerank
+ SELECT {grouping_cols_select} {edge_temp_table}.{dest} AS
{vertex_id},
+
SUM({v1}.pagerank/{out_cnts}.{out_cnts_cnt})*{damping_factor}+{random_jump_prob}
AS pagerank
FROM {edge_temp_table}
- INNER JOIN {cur} ON
{edge_temp_table}.{dest}={cur}.{vertex_id}
- INNER JOIN {out_cnts} ON
{out_cnts}.{vertex_id}={edge_temp_table}.{src}
- INNER JOIN {cur} AS {v1} ON
{v1}.{vertex_id}={edge_temp_table}.{src}
- GROUP BY {edge_temp_table}.{dest}
- """.format(**locals()))
+ INNER JOIN {cur} ON {cur_join_clause}
+ INNER JOIN {out_cnts} ON {out_cnts_join_clause}
+ INNER JOIN {cur} AS {v1} ON {v1_join_clause}
+ {vertices_per_group_inner_join}
+ {ignore_group_clause}
+ GROUP BY {grouping_cols_select} {edge_temp_table}.{dest}
+ """.format(grouping_cols_select=edge_grouping_cols_select+', '
--- End diff --
You might want to move these grouping_cols if checks out of the loop. You
can initialize them to empty strings (similar to lines 122 - 127) and overwrite
them when you have grouping (similar to lines 169 - 184). I am sure a C
compiler can take care of it automatically but I am not sure about python.
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