mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-12-14 18:32:29 +00:00
99 lines
3.8 KiB
Python
Executable File
99 lines
3.8 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import os
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import sys
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import tarfile
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import logging
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import argparse
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import requests
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import tempfile
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DEFAULT_URL = 'https://clickhouse-datasets.s3.yandex.net'
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AVAILABLE_DATASETS = {
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'hits': 'hits_v1.tar',
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'visits': 'visits_v1.tar',
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'values_with_expressions': 'test_values.tar',
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'hits_100m_single': 'hits_100m_single.tar',
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'hits_1000m_single': 'hits_1000m_single.tar',
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'hits_10m_single': 'hits_10m_single.tar',
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'trips_mergetree': 'trips_mergetree.tar',
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}
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def _get_temp_file_name():
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return os.path.join(tempfile._get_default_tempdir(), next(tempfile._get_candidate_names()))
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def build_url(base_url, dataset):
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return os.path.join(base_url, dataset, 'partitions', AVAILABLE_DATASETS[dataset])
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def dowload_with_progress(url, path):
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logging.info("Downloading from %s to temp path %s", url, path)
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with open(path, 'w') as f:
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response = requests.get(url, stream=True)
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response.raise_for_status()
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total_length = response.headers.get('content-length')
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if total_length is None or int(total_length) == 0:
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logging.info("No content-length, will download file without progress")
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f.write(response.content)
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else:
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dl = 0
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total_length = int(total_length)
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logging.info("Content length is %ld bytes", total_length)
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counter = 0
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for data in response.iter_content(chunk_size=4096):
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dl += len(data)
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counter += 1
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f.write(data)
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done = int(50 * dl / total_length)
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percent = int(100 * float(dl) / total_length)
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if sys.stdout.isatty():
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sys.stdout.write("\r[{}{}] {}%".format('=' * done, ' ' * (50-done), percent))
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sys.stdout.flush()
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elif counter % 1000 == 0:
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sys.stdout.write("{}%".format(percent))
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sys.stdout.flush()
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sys.stdout.write("\n")
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logging.info("Downloading finished")
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def unpack_to_clickhouse_directory(tar_path, clickhouse_path):
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logging.info("Will unpack data from temp path %s to clickhouse db %s", tar_path, clickhouse_path)
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with tarfile.open(tar_path, 'r') as comp_file:
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comp_file.extractall(path=clickhouse_path)
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logging.info("Unpack finished")
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if __name__ == "__main__":
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s %(levelname)s: %(message)s')
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parser = argparse.ArgumentParser(
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description="Simple tool for dowloading datasets for clickhouse from S3")
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parser.add_argument('--dataset-names', required=True, nargs='+', choices=AVAILABLE_DATASETS.keys())
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parser.add_argument('--url-prefix', default=DEFAULT_URL)
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parser.add_argument('--clickhouse-data-path', default='/var/lib/clickhouse/')
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args = parser.parse_args()
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datasets = args.dataset_names
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logging.info("Will fetch following datasets: %s", ', '.join(datasets))
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for dataset in datasets:
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logging.info("Processing %s", dataset)
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temp_archive_path = _get_temp_file_name()
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try:
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download_url_for_dataset = build_url(args.url_prefix, dataset)
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dowload_with_progress(download_url_for_dataset, temp_archive_path)
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unpack_to_clickhouse_directory(temp_archive_path, args.clickhouse_data_path)
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except Exception as ex:
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logging.info("Some exception occured %s", str(ex))
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raise
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finally:
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logging.info("Will remove dowloaded file %s from filesystem if it exists", temp_archive_path)
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if os.path.exists(temp_archive_path):
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os.remove(temp_archive_path)
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logging.info("Processing of %s finished, table placed at", dataset)
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logging.info("Fetch finished, enjoy your tables!")
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