1 # SPDX-License-Identifier: GPL-3.0-or-later
3 # This file is part of Nominatim. (https://nominatim.org)
5 # Copyright (C) 2023 by the Nominatim developer community.
6 # For a full list of authors see the git log.
8 Exporting a Nominatim database to SQlite.
10 from typing import Set
12 from pathlib import Path
14 import sqlalchemy as sa
16 from nominatim.typing import SaSelect
17 from nominatim.db.sqlalchemy_types import Geometry
18 import nominatim.api as napi
20 LOG = logging.getLogger()
22 async def convert(project_dir: Path, outfile: Path, options: Set[str]) -> None:
23 """ Export an existing database to sqlite. The resulting database
24 will be usable against the Python frontend of Nominatim.
26 api = napi.NominatimAPIAsync(project_dir)
29 outapi = napi.NominatimAPIAsync(project_dir,
30 {'NOMINATIM_DATABASE_DSN': f"sqlite:dbname={outfile}"})
32 async with api.begin() as src, outapi.begin() as dest:
33 writer = SqliteWriter(src, dest, options)
40 """ Worker class which creates a new SQLite database.
43 def __init__(self, src: napi.SearchConnection,
44 dest: napi.SearchConnection, options: Set[str]) -> None:
47 self.options = options
50 async def write(self) -> None:
51 """ Create the database structure and copy the data from
52 the source database to the destination.
54 await self.dest.execute(sa.select(sa.func.InitSpatialMetaData(True, 'WGS84')))
56 await self.create_tables()
57 await self.copy_data()
58 await self.create_indexes()
61 async def create_tables(self) -> None:
62 """ Set up the database tables.
64 if 'search' not in self.options:
65 self.dest.t.meta.remove(self.dest.t.search_name)
67 await self.dest.connection.run_sync(self.dest.t.meta.create_all)
69 # Convert all Geometry columns to Spatialite geometries
70 for table in self.dest.t.meta.sorted_tables:
72 if isinstance(col.type, Geometry):
73 await self.dest.execute(sa.select(
74 sa.func.RecoverGeometryColumn(table.name, col.name, 4326,
75 col.type.subtype.upper(), 'XY')))
78 async def copy_data(self) -> None:
79 """ Copy data for all registered tables.
81 for table in self.dest.t.meta.sorted_tables:
82 LOG.warning("Copying '%s'", table.name)
83 async_result = await self.src.connection.stream(self.select_from(table.name))
85 async for partition in async_result.partitions(10000):
86 data = [{('class_' if k == 'class' else k): getattr(r, k) for k in r._fields}
88 await self.dest.execute(table.insert(), data)
91 async def create_indexes(self) -> None:
92 """ Add indexes necessary for the frontend.
94 # reverse place node lookup needs an extra table to simulate a
95 # partial index with adaptive buffering.
96 await self.dest.execute(sa.text(
97 """ CREATE TABLE placex_place_node_areas AS
98 SELECT place_id, ST_Expand(geometry,
99 14.0 * exp(-0.2 * rank_search) - 0.03) as geometry
101 WHERE rank_address between 5 and 25
103 and linked_place_id is NULL """))
104 await self.dest.execute(sa.select(
105 sa.func.RecoverGeometryColumn('placex_place_node_areas', 'geometry',
106 4326, 'GEOMETRY', 'XY')))
107 await self.dest.execute(sa.select(sa.func.CreateSpatialIndex(
108 'placex_place_node_areas', 'geometry')))
111 await self.create_spatial_index('country_grid', 'geometry')
112 await self.create_spatial_index('placex', 'geometry')
113 await self.create_spatial_index('osmline', 'linegeo')
114 await self.create_spatial_index('tiger', 'linegeo')
115 await self.create_index('placex', 'place_id')
116 await self.create_index('placex', 'parent_place_id')
117 await self.create_index('placex', 'rank_address')
118 await self.create_index('addressline', 'place_id')
121 async def create_spatial_index(self, table: str, column: str) -> None:
122 """ Create a spatial index on the given table and column.
124 await self.dest.execute(sa.select(
125 sa.func.CreateSpatialIndex(getattr(self.dest.t, table).name, column)))
128 async def create_index(self, table_name: str, column: str) -> None:
129 """ Create a simple index on the given table and column.
131 table = getattr(self.dest.t, table_name)
132 await self.dest.connection.run_sync(
133 sa.Index(f"idx_{table}_{column}", getattr(table.c, column)).create)
136 def select_from(self, table: str) -> SaSelect:
137 """ Create the SQL statement to select the source columns and rows.
139 columns = self.src.t.meta.tables[table].c
141 sql = sa.select(*(sa.func.ST_AsText(c).label(c.name)
142 if isinstance(c.type, Geometry) else c for c in columns))