From 24471a052de1df233811f830c606850abf710445 Mon Sep 17 00:00:00 2001
From: Derek Eder <derek.eder@gmail.com>
Date: Wed, 12 Dec 2012 17:34:16 -0600
Subject: [PATCH] uncommented rest of sqlite_example script, still bugs to fix
 with sqlite3.Row factory change

---
 examples/sqlite_example/sqlite_example.py | 89 +++++++++++------------
 1 file changed, 41 insertions(+), 48 deletions(-)

diff --git a/examples/sqlite_example/sqlite_example.py b/examples/sqlite_example/sqlite_example.py
index 38fa11f35..58d2a1493 100644
--- a/examples/sqlite_example/sqlite_example.py
+++ b/examples/sqlite_example/sqlite_example.py
@@ -116,7 +116,7 @@ def selector(doc_ids) :
 
 
 print 'creating inverted index'
-full_data = ((row['donor_id'], row) for row in con.execute("SELECT * FROM donors"))
+full_data = ((row['donor_id'], row) for row in con.execute("SELECT * FROM donors LIMIT 1000"))
 blocker.invertIndex(full_data)
 
 print 'creating canopies'
@@ -129,60 +129,53 @@ def selector(doc_ids) :
     blocker.canopies[threshold.__name__ + field] = canopy
     counter += 1
 
-# print 'writing blocking map'
-# def block_data() :
-#     for donor_id, record in con.execute("SELECT * FROM donors LIMIT 1000") :
-#         if donor_id % 10000 == 0 :
-#             print donor_id
-#         for key in blocker((donor_id, record)):
-#             yield (str(key), donor_id)
+print 'writing blocking map'
+def block_data() :
+    full_data = ((row['donor_id'], row) for row in con.execute("SELECT * FROM donors LIMIT 1000"))
+    for donor_id, record in full_data :
+        if donor_id % 10000 == 0 :
+            print donor_id
+        for key in blocker((donor_id, record)):
+            yield (str(key), donor_id)
 
 
-# con.executemany("INSERT OR IGNORE INTO blocking_map VALUES (?, ?)",
-#                 block_data())
+con.executemany("INSERT OR IGNORE INTO blocking_map VALUES (?, ?)",
+                block_data())
 
+con.commit()
 
+print 'writing largest blocks to file'
 
-# con.commit()
+with open('sqlite_example_block_sizes.txt', 'a') as f:
+    con.row_factory = None
+    f.write(time.asctime())
+    f.write('\n')
+    for row in con.execute("SELECT key, COUNT(donor_id) AS block_size "
+                           "FROM blocking_map GROUP BY key "
+                           "ORDER BY block_size DESC LIMIT 10") :
 
+        print row
+        f.write(str(row))
+        f.write('\n')
+    con.row_factory = dict_factory
 
-
-
-# print 'writing largest blocks to file'
-
-
-
-# with open('sqlite_example_block_sizes.txt', 'a') as f:
-#     con.row_factory = None
-#     f.write(time.asctime())
-#     f.write('\n')
-#     for row in con.execute("SELECT key, COUNT(donor_id) AS block_size "
-#                            "FROM blocking_map GROUP BY key "
-#                            "ORDER BY block_size DESC LIMIT 10") :
-
-#         print row
-#         f.write(str(row))
-#         f.write('\n')
-#     con.row_factory = dict_factory
-    
-
-# print 'reading blocked data'
-# con.row_factory = blocking_factory
-# cur = con.cursor()
-# cur.execute('select * from donors join '
-#   '(select key, donor_id from blocking_map '
-#   'join (select key, count(donor_id) num_candidates from blocking_map '
-#   'group by key having num_candidates > 1) '
-#   'as bucket using (key)) as candidates using (donor_id)')
-# blocked_data = defaultdict(list)
-# for k, v in cur :
-#     blocked_data[k].append(v)
-
-# print 'clustering...'
-# clustered_dupes = deduper.duplicateClusters(blocked_data)
-
-# print '# duplicate sets'
-# print len(clustered_dupes)
+print 'reading blocked data'
+con.row_factory = blocking_factory
+cur = con.cursor()
+cur.execute('select * from donors join '
+  '(select key, donor_id from blocking_map '
+  'join (select key, count(donor_id) num_candidates from blocking_map '
+  'group by key having num_candidates > 1) '
+  'as bucket using (key)) as candidates using (donor_id)')
+blocked_data = defaultdict(list)
+for k, v in cur :
+    blocked_data[k].append(v)
+
+print 'clustering...'
+clustered_dupes = deduper.duplicateClusters(blocked_data)
+
+print '# duplicate sets'
+print len(clustered_dupes)
 
 cur.close()
 con.close()