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https://github.com/osm-search/Nominatim.git
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Ported tiger-data-import to python and Added Tarball Support
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96
nominatim/tools/tiger_data.py
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96
nominatim/tools/tiger_data.py
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"""
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Functions for setting up and importing a new Nominatim database.
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"""
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import logging
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import os
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import time
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import tarfile
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import selectors
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from ..db.connection import connect
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from ..db.async_connection import DBConnection
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from ..db.sql_preprocessor import SQLPreprocessor
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LOG = logging.getLogger()
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def add_tiger_data(dsn, data_dir, threads, config, sqllib_dir):
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""" Import tiger data from directory or tar file
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"""
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# Handling directory or tarball file.
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is_tarfile = False
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if(data_dir.endswith('.tar.gz')):
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is_tarfile = True
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tar = tarfile.open(data_dir)
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sql_files = [i for i in tar.getmembers() if i.name.endswith('.sql')]
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LOG.warning(f'Found {len(sql_files)} SQL files in tarfile with path {data_dir}')
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if(not len(sql_files)):
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LOG.warning(f'Tiger data import selected but no files found in tarfile with path {data_dir}')
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return
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else:
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files = os.listdir(data_dir)
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sql_files = [i for i in files if i.endswith('.sql')]
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LOG.warning(f'Found {len(sql_files)} SQL files in path {data_dir}')
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if(not len(sql_files)):
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LOG.warning(f'Tiger data import selected but no files found in path {data_dir}')
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return
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with connect(dsn) as conn:
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sql = SQLPreprocessor(conn, config, sqllib_dir)
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sql.run_sql_file(conn, 'tiger_import_start.sql')
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# Reading sql_files and then for each file line handling
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# sql_query in <threads - 1> chunks.
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sel = selectors.DefaultSelector()
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place_threads = max(1, threads - 1)
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for sql_file in sql_files:
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if(not is_tarfile):
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file_path = os.path.join(data_dir, sql_file)
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file = open(file_path)
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else:
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file = tar.extractfile(sql_file)
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lines = 0
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end_of_file = False
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total_used_threads = place_threads
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while(True):
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if(end_of_file):
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break
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for imod in range(place_threads):
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conn = DBConnection(dsn)
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conn.connect()
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sql_query = file.readline()
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lines+=1
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if(not sql_query):
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end_of_file = True
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total_used_threads = imod
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break
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conn.perform(sql_query)
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sel.register(conn, selectors.EVENT_READ, conn)
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if(lines==1000):
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print('. ', end='', flush=True)
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lines=0
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todo = min(place_threads,total_used_threads)
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while todo > 0:
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for key, _ in sel.select(1):
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try:
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conn = key.data
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sel.unregister(conn)
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conn.wait()
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conn.close()
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todo -= 1
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except:
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todo -=1
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if(is_tarfile):
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tar.close()
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print('\n')
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LOG.warning("Creating indexes on Tiger data")
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with connect(dsn) as conn:
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sql = SQLPreprocessor(conn, config, sqllib_dir)
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sql.run_sql_file(conn, 'tiger_import_finish.sql')
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