X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/a0f5613a23167752c97dd17fc42cd1e4e97cf4eb..423f338d04f488974cd249cbb7df6f709f060ddd:/nominatim/tokenizer/legacy_tokenizer.py?ds=sidebyside

diff --git a/nominatim/tokenizer/legacy_tokenizer.py b/nominatim/tokenizer/legacy_tokenizer.py
index d901a68d..0edcdcca 100644
--- a/nominatim/tokenizer/legacy_tokenizer.py
+++ b/nominatim/tokenizer/legacy_tokenizer.py
@@ -190,18 +190,19 @@ class LegacyTokenizer(AbstractTokenizer):
         """ Recompute the frequency of full words.
         """
         with connect(self.dsn) as conn:
-            with conn.cursor() as cur:
-                cur.drop_table("word_frequencies")
-                LOG.info("Computing word frequencies")
-                cur.execute("""CREATE TEMP TABLE word_frequencies AS
-                                 SELECT unnest(name_vector) as id, count(*)
-                                 FROM search_name GROUP BY id""")
-                cur.execute("CREATE INDEX ON word_frequencies(id)")
-                LOG.info("Update word table with recomputed frequencies")
-                cur.execute("""UPDATE word SET search_name_count = count
-                               FROM word_frequencies
-                               WHERE word_token like ' %' and word_id = id""")
-                cur.drop_table("word_frequencies")
+            if conn.table_exists('search_name'):
+                with conn.cursor() as cur:
+                    cur.drop_table("word_frequencies")
+                    LOG.info("Computing word frequencies")
+                    cur.execute("""CREATE TEMP TABLE word_frequencies AS
+                                     SELECT unnest(name_vector) as id, count(*)
+                                     FROM search_name GROUP BY id""")
+                    cur.execute("CREATE INDEX ON word_frequencies(id)")
+                    LOG.info("Update word table with recomputed frequencies")
+                    cur.execute("""UPDATE word SET search_name_count = count
+                                   FROM word_frequencies
+                                   WHERE word_token like ' %' and word_id = id""")
+                    cur.drop_table("word_frequencies")
             conn.commit()
 
     def name_analyzer(self):