restrict size of features that get a full address search

[nominatim.git] / nominatim / nominatim.py

diff --git a/nominatim/nominatim.py b/nominatim/nominatim.py
index 9e7206097f3f2ded3aaf35e0bdc30b7e7cf1525d..b20673d2a0fbef3c71ff2f2d93af811f8df2062d 100755 (executable)
--- a/nominatim/nominatim.py
+++ b/nominatim/nominatim.py
@@ -47,12 +47,12 @@ class RankRunner(object):
 
     def sql_count_objects(self):
         return """SELECT count(*) FROM placex
-                  WHERE rank_search = {} and indexed_status > 0
+                  WHERE rank_address = {} and indexed_status > 0
                """.format(self.rank)
 
     def sql_get_objects(self):
         return """SELECT place_id FROM placex
-                  WHERE indexed_status > 0 and rank_search = {}
+                  WHERE indexed_status > 0 and rank_address = {}
                   ORDER BY geometry_sector""".format(self.rank)
 
     def sql_index_place(self, ids):
@@ -114,7 +114,7 @@ class Indexer(object):
     """
 
     def __init__(self, options):
-        self.minrank = max(0, options.minrank)
+        self.minrank = max(1, options.minrank)
         self.maxrank = min(30, options.maxrank)
         self.conn = make_connection(options)
         self.threads = [DBConnection(options) for i in range(options.threads)]
@@ -132,20 +132,22 @@ class Indexer(object):
         log.warning("Starting indexing rank ({} to {}) using {} threads".format(
                  self.minrank, self.maxrank, len(self.threads)))
 
-        for rank in range(self.minrank, self.maxrank):
+        for rank in range(max(1, self.minrank), self.maxrank):
             self.index(RankRunner(rank))
 
         if self.maxrank == 30:
+            self.index(RankRunner(0))
             self.index(InterpolationRunner(), 20)
-
-        self.index(RankRunner(self.maxrank), 20)
+            self.index(RankRunner(self.maxrank), 20)
+        else:
+            self.index(RankRunner(self.maxrank))
 
     def index(self, obj, batch=1):
         """ Index a single rank or table. `obj` describes the SQL to use
             for indexing. `batch` describes the number of objects that
             should be processed with a single SQL statement
         """
-        log.warning("Starting {}".format(obj.name()))
+        log.warning("Starting %s (using batch size %s)", obj.name(), batch)
 
         cur = self.conn.cursor()
         cur.execute(obj.sql_count_objects())