disable country name updates

[nominatim.git] / nominatim / indexer / indexer.py

diff --git a/nominatim/indexer/indexer.py b/nominatim/indexer/indexer.py
index faf91c456b1eb9bd0d6a00d8e1f396f8fd846ab7..98bb52114bedaa8bc220f6a595d2c1dcf88a2283 100644 (file)
--- a/nominatim/indexer/indexer.py
+++ b/nominatim/indexer/indexer.py
@@ -1,77 +1,89 @@
+# SPDX-License-Identifier: GPL-2.0-only
+#
+# This file is part of Nominatim. (https://nominatim.org)
+#
+# Copyright (C) 2022 by the Nominatim developer community.
+# For a full list of authors see the git log.

 """
 Main work horse for indexing (computing addresses) the database.
 """
 import logging
 """
 Main work horse for indexing (computing addresses) the database.
 """
 import logging

-import select
+import time
+
+import psycopg2.extras

 
 from nominatim.indexer.progress import ProgressLogger
 from nominatim.indexer import runners
 
 from nominatim.indexer.progress import ProgressLogger
 from nominatim.indexer import runners

-from nominatim.db.async_connection import DBConnection
+from nominatim.db.async_connection import DBConnection, WorkerPool

 from nominatim.db.connection import connect
 
 LOG = logging.getLogger()
 
 from nominatim.db.connection import connect
 
 LOG = logging.getLogger()
 

-class WorkerPool:
-    """ A pool of asynchronous database connections.

 
 

-        The pool may be used as a context manager.
+class PlaceFetcher:
+    """ Asynchronous connection that fetches place details for processing.

     """
     """

-    REOPEN_CONNECTIONS_AFTER = 100000
+    def __init__(self, dsn, setup_conn):
+        self.wait_time = 0
+        self.current_ids = None
+        self.conn = DBConnection(dsn, cursor_factory=psycopg2.extras.DictCursor)

 
 

-    def __init__(self, dsn, pool_size):
-        self.threads = [DBConnection(dsn) for _ in range(pool_size)]
-        self.free_workers = self._yield_free_worker()
+        with setup_conn.cursor() as cur:
+            # need to fetch those manually because register_hstore cannot
+            # fetch them on an asynchronous connection below.
+            hstore_oid = cur.scalar("SELECT 'hstore'::regtype::oid")
+            hstore_array_oid = cur.scalar("SELECT 'hstore[]'::regtype::oid")

 
 

+        psycopg2.extras.register_hstore(self.conn.conn, oid=hstore_oid,
+                                        array_oid=hstore_array_oid)

 
 

-    def finish_all(self):
-        """ Wait for all connection to finish.
+    def close(self):
+        """ Close the underlying asynchronous connection.

         """
         """

-        for thread in self.threads:
-            while not thread.is_done():
-                thread.wait()
+        if self.conn:
+            self.conn.close()
+            self.conn = None

 
 

-        self.free_workers = self._yield_free_worker()

 
 

-    def close(self):
-        """ Close all connections and clear the pool.
+    def fetch_next_batch(self, cur, runner):
+        """ Send a request for the next batch of places.
+            If details for the places are required, they will be fetched
+            asynchronously.
+
+            Returns true if there is still data available.

         """
         """

-        for thread in self.threads:
-            thread.close()
-        self.threads = []
-        self.free_workers = None
+        ids = cur.fetchmany(100)

 
 

+        if not ids:
+            self.current_ids = None
+            return False

 
 

-    def next_free_worker(self):
-        """ Get the next free connection.
+        if hasattr(runner, 'get_place_details'):
+            runner.get_place_details(self.conn, ids)
+            self.current_ids = []
+        else:
+            self.current_ids = ids
+
+        return True
+
+    def get_batch(self):
+        """ Get the next batch of data, previously requested with
+            `fetch_next_batch`.

         """
         """

-        return next(self.free_workers)
-
-
-    def _yield_free_worker(self):
-        ready = self.threads
-        command_stat = 0
-        while True:
-            for thread in ready:
-                if thread.is_done():
-                    command_stat += 1
-                    yield thread
-
-            if command_stat > self.REOPEN_CONNECTIONS_AFTER:
-                for thread in self.threads:
-                    while not thread.is_done():
-                        thread.wait()
-                    thread.connect()
-                ready = self.threads
-                command_stat = 0
-            else:
-                _, ready, _ = select.select([], self.threads, [])
+        if self.current_ids is not None and not self.current_ids:
+            tstart = time.time()
+            self.conn.wait()
+            self.wait_time += time.time() - tstart
+            self.current_ids = self.conn.cursor.fetchall()

 
 

+        return self.current_ids

 
     def __enter__(self):
         return self
 
 
     def __exit__(self, exc_type, exc_value, traceback):
 
     def __enter__(self):
         return self
 
 
     def __exit__(self, exc_type, exc_value, traceback):

+        self.conn.wait()

         self.close()
 
 
         self.close()
 
 


@@ -79,13 +91,25 @@ class Indexer:
     """ Main indexing routine.
     """
 
     """ Main indexing routine.
     """
 

-    def __init__(self, dsn, num_threads):
+    def __init__(self, dsn, tokenizer, num_threads):

         self.dsn = dsn
         self.dsn = dsn

+        self.tokenizer = tokenizer

         self.num_threads = num_threads
 
 
         self.num_threads = num_threads
 
 

+    def has_pending(self):
+        """ Check if any data still needs indexing.
+            This function must only be used after the import has finished.
+            Otherwise it will be very expensive.
+        """
+        with connect(self.dsn) as conn:
+            with conn.cursor() as cur:
+                cur.execute("SELECT 'a' FROM placex WHERE indexed_status > 0 LIMIT 1")
+                return cur.rowcount > 0
+
+

     def index_full(self, analyse=True):
     def index_full(self, analyse=True):

-        """ Index the complete database. This will first index boudnaries
+        """ Index the complete database. This will first index boundaries

             followed by all other objects. When `analyse` is True, then the
             database will be analysed at the appropriate places to
             ensure that database statistics are updated.
             followed by all other objects. When `analyse` is True, then the
             database will be analysed at the appropriate places to
             ensure that database statistics are updated.


@@ -93,13 +117,10 @@ class Indexer:
         with connect(self.dsn) as conn:
             conn.autocommit = True
 
         with connect(self.dsn) as conn:
             conn.autocommit = True
 

-            if analyse:
-                def _analyze():
+            def _analyze():
+                if analyse:

                     with conn.cursor() as cur:
                         cur.execute('ANALYZE')
                     with conn.cursor() as cur:
                         cur.execute('ANALYZE')

-            else:
-                def _analyze():
-                    pass

 
             self.index_by_rank(0, 4)
             _analyze()
 
             self.index_by_rank(0, 4)
             _analyze()


@@ -123,8 +144,9 @@ class Indexer:
         LOG.warning("Starting indexing boundaries using %s threads",
                     self.num_threads)
 
         LOG.warning("Starting indexing boundaries using %s threads",
                     self.num_threads)
 

-        for rank in range(max(minrank, 4), min(maxrank, 26)):
-            self._index(runners.BoundaryRunner(rank))
+        with self.tokenizer.name_analyzer() as analyzer:
+            for rank in range(max(minrank, 4), min(maxrank, 26)):
+                self._index(runners.BoundaryRunner(rank, analyzer))

 
     def index_by_rank(self, minrank, maxrank):
         """ Index all entries of placex in the given rank range (inclusive)
 
     def index_by_rank(self, minrank, maxrank):
         """ Index all entries of placex in the given rank range (inclusive)


@@ -137,15 +159,16 @@ class Indexer:
         LOG.warning("Starting indexing rank (%i to %i) using %i threads",
                     minrank, maxrank, self.num_threads)
 
         LOG.warning("Starting indexing rank (%i to %i) using %i threads",
                     minrank, maxrank, self.num_threads)
 

-        for rank in range(max(1, minrank), maxrank):
-            self._index(runners.RankRunner(rank))
+        with self.tokenizer.name_analyzer() as analyzer:
+            for rank in range(max(1, minrank), maxrank):
+                self._index(runners.RankRunner(rank, analyzer))

 
 

-        if maxrank == 30:
-            self._index(runners.RankRunner(0))
-            self._index(runners.InterpolationRunner(), 20)
-            self._index(runners.RankRunner(30), 20)
-        else:
-            self._index(runners.RankRunner(maxrank))
+            if maxrank == 30:
+                self._index(runners.RankRunner(0, analyzer))
+                self._index(runners.InterpolationRunner(analyzer), 20)
+                self._index(runners.RankRunner(30, analyzer), 20)
+            else:
+                self._index(runners.RankRunner(maxrank, analyzer))

 
 
     def index_postcodes(self):
 
 
     def index_postcodes(self):


@@ -173,6 +196,7 @@ class Indexer:
         LOG.warning("Starting %s (using batch size %s)", runner.name(), batch)
 
         with connect(self.dsn) as conn:
         LOG.warning("Starting %s (using batch size %s)", runner.name(), batch)
 
         with connect(self.dsn) as conn:

+            psycopg2.extras.register_hstore(conn)

             with conn.cursor() as cur:
                 total_tuples = cur.scalar(runner.sql_count_objects())
                 LOG.debug("Total number of rows: %i", total_tuples)
             with conn.cursor() as cur:
                 total_tuples = cur.scalar(runner.sql_count_objects())
                 LOG.debug("Total number of rows: %i", total_tuples)


@@ -185,19 +209,24 @@ class Indexer:
                 with conn.cursor(name='places') as cur:
                     cur.execute(runner.sql_get_objects())
 
                 with conn.cursor(name='places') as cur:
                     cur.execute(runner.sql_get_objects())
 

-                    with WorkerPool(self.dsn, self.num_threads) as pool:
-                        while True:
-                            places = [p[0] for p in cur.fetchmany(batch)]
-                            if not places:
-                                break
+                    with PlaceFetcher(self.dsn, conn) as fetcher:
+                        with WorkerPool(self.dsn, self.num_threads) as pool:
+                            has_more = fetcher.fetch_next_batch(cur, runner)
+                            while has_more:
+                                places = fetcher.get_batch()

 
 

-                            LOG.debug("Processing places: %s", str(places))
-                            worker = pool.next_free_worker()
+                                # asynchronously get the next batch
+                                has_more = fetcher.fetch_next_batch(cur, runner)

 
 

-                            worker.perform(runner.sql_index_place(places))
-                            progress.add(len(places))
+                                # And insert the curent batch
+                                for idx in range(0, len(places), batch):
+                                    part = places[idx:idx + batch]
+                                    LOG.debug("Processing places: %s", str(part))
+                                    runner.index_places(pool.next_free_worker(), part)
+                                    progress.add(len(part))

 
 

-                        pool.finish_all()
+                            LOG.info("Wait time: fetcher: %.2fs,  pool: %.2fs",
+                                     fetcher.wait_time, pool.wait_time)

 
                 conn.commit()
 
 
                 conn.commit()