mirror of
https://github.com/ClickHouse/ClickHouse.git
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133 lines
5.7 KiB
Python
Executable File
133 lines
5.7 KiB
Python
Executable File
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import os
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import logging
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import argparse
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import tarfile
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import math
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try:
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from boto.s3.connection import S3Connection
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except ImportError:
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raise ImportError("You have to install boto package 'pip install boto'")
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class S3API(object):
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def __init__(self, access_key, secret_access_key, mds_api, mds_url):
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self.connection = S3Connection(
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host=mds_api,
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aws_access_key_id=access_key,
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aws_secret_access_key=secret_access_key,
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)
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self.mds_url = mds_url
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def upload_file(self, bucket_name, file_path, s3_path):
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logging.info("Start uploading file to bucket %s", bucket_name)
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bucket = self.connection.get_bucket(bucket_name)
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key = bucket.initiate_multipart_upload(s3_path)
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logging.info("Will upload to s3 path %s", s3_path)
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chunksize = 1024 * 1024 * 1024 # 1 GB
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filesize = os.stat(file_path).st_size
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logging.info("File size if %s", filesize)
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chunkcount = int(math.ceil(filesize / chunksize))
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def call_back(x, y):
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print("Uploaded {}/{} bytes".format(x, y))
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try:
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for i in range(chunkcount + 1):
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logging.info("Uploading chunk %s of %s", i, chunkcount + 1)
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offset = chunksize * i
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bytes_size = min(chunksize, filesize - offset)
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with open(file_path, 'r') as fp:
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fp.seek(offset)
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key.upload_part_from_file(fp=fp, part_num=i+1,
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size=bytes_size, cb=call_back,
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num_cb=100)
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key.complete_upload()
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except Exception as ex:
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key.cancel_upload()
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raise ex
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logging.info("Contents were set")
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return "https://{bucket}.{mds_url}/{path}".format(
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bucket=bucket_name, mds_url=self.mds_url, path=s3_path)
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def make_tar_file_for_table(clickhouse_data_path, db_name, table_name,
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tmp_prefix):
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relative_data_path = os.path.join('data', db_name, table_name)
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relative_meta_path = os.path.join('metadata', db_name, table_name + '.sql')
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path_to_data = os.path.join(clickhouse_data_path, relative_data_path)
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path_to_metadata = os.path.join(clickhouse_data_path, relative_meta_path)
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temporary_file_name = tmp_prefix + '/{tname}.tar'.format(tname=table_name)
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with tarfile.open(temporary_file_name, "w") as bundle:
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bundle.add(path_to_data, arcname=relative_data_path)
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bundle.add(path_to_metadata, arcname=relative_meta_path)
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return temporary_file_name
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USAGE_EXAMPLES = '''
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examples:
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\t./s3uploader --dataset-name some_ds --access-key-id XXX --secret-access-key YYY --clickhouse-data-path /opt/clickhouse/ --table-name default.some_tbl --bucket-name some-bucket
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\t./s3uploader --dataset-name some_ds --access-key-id XXX --secret-access-key YYY --file-path some_ds.tsv.xz --bucket-name some-bucket --s3-path /path/to/
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'''
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if __name__ == "__main__":
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logging.basicConfig(level=logging.INFO, format='%(asctime)s %(message)s')
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parser = argparse.ArgumentParser(
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description="Simple tool for uploading datasets to clickhouse S3",
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usage='%(prog)s [options] {}'.format(USAGE_EXAMPLES))
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parser.add_argument('--s3-api-url', default='s3.mds.yandex.net')
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parser.add_argument('--s3-common-url', default='s3.yandex.net')
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parser.add_argument('--bucket-name', default='clickhouse-datasets')
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parser.add_argument('--dataset-name', required=True,
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help='Name of dataset, will be used in uploaded path')
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parser.add_argument('--access-key-id', required=True)
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parser.add_argument('--secret-access-key', required=True)
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parser.add_argument('--clickhouse-data-path',
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default='/var/lib/clickhouse/',
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help='Path to clickhouse database on filesystem')
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parser.add_argument('--s3-path', help='Path in s3, where to upload file')
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parser.add_argument('--tmp-prefix', default='/tmp',
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help='Prefix to store temporary downloaded file')
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data_group = parser.add_mutually_exclusive_group(required=True)
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table_name_argument = data_group.add_argument('--table-name',
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help='Name of table with database, if you are uploading partitions')
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data_group.add_argument('--file-path',
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help='Name of file, if you are uploading')
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args = parser.parse_args()
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if args.table_name is not None and args.clickhouse_data_path is None:
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raise argparse.ArgumentError(table_name_argument,
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"You should specify --clickhouse-data-path to upload --table")
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s3_conn = S3API(
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args.access_key_id, args.secret_access_key,
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args.s3_api_url, args.s3_common_url)
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if args.table_name is not None:
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if '.' not in args.table_name:
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db_name = 'default'
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else:
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db_name, table_name = args.table_name.split('.')
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file_path = make_tar_file_for_table(
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args.clickhouse_data_path, db_name, table_name, args.tmp_prefix)
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else:
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file_path = args.file_path
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if 'tsv' in file_path:
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s3_path = os.path.join(
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args.dataset_name, 'tsv', os.path.basename(file_path))
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elif args.table_name is not None:
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s3_path = os.path.join(
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args.dataset_name, 'partitions', os.path.basename(file_path))
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elif args.s3_path is not None:
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s3_path = os.path.join(
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args.dataset_name, args.s3_path, os.path.basename(file_path))
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else:
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raise Exception("Don't know s3-path to upload")
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url = s3_conn.upload_file(args.bucket_name, file_path, s3_path)
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logging.info("Data uploaded: %s", url)
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