bash脚本
#!/bin/sh MONGODB_SHELL='/usr/bin/mongo' DUMP_UTILITY='/usr/bin/mongodump' DB_NAME='amicus' date_now=`date +%Y_%m_%d_%H_%M_%S` dir_name='db_backup_'${date_now} file_name='db_backup_'${date_now}'.bz2' log() { echo $1 } do_cleanup(){ rm -rf db_backup_2010* log 'cleaning up....' } do_backup(){ log 'snapshotting the db and creating archive' && \ ${MONGODB_SHELL} admin fsync_lock.js && \ ${DUMP_UTILITY} -d ${DB_NAME} -o ${dir_name} && tar -jcf $file_name ${dir_name} ${MONGODB_SHELL} admin unlock.js && \ log 'data backd up and created snapshot' } save_in_s3(){ log 'saving the backup archive in amazon S3' && \ python aws_s3.py set ${file_name} && \ log 'data backup saved in amazon s3' } do_backup && save_in_s3 && do_cleanup
@H_404_10@aws_s3.py
ACCESS_KEY='' SECRET='' BUCKET_NAME='s3:///s3.amazonaws.com/database-backup' #note that you need to create this bucket first from boto.s3.connection import S3Connection from boto.s3.key import Key def save_file_in_s3(filename): conn = S3Connection(ACCESS_KEY,SECRET) bucket = conn.get_bucket(BUCKET_NAME) k = Key(bucket) k.key = filename k.set_contents_from_filename(filename) def get_file_from_s3(filename): conn = S3Connection(ACCESS_KEY,SECRET) bucket = conn.get_bucket(BUCKET_NAME) k = Key(bucket) k.key = filename k.get_contents_to_filename(filename) def list_backup_in_s3(): conn = S3Connection(ACCESS_KEY,SECRET) bucket = conn.get_bucket(BUCKET_NAME) for i,key in enumerate(bucket.get_all_keys()): print "[%s] %s" % (i,key.name) def delete_all_backups(): #FIXME: validate filename exists conn = S3Connection(ACCESS_KEY,key in enumerate(bucket.get_all_keys()): print "deleting %s" % (key.name) key.delete() if __name__ == '__main__': import sys if len(sys.argv) < 3: print 'Usage: %s
@H_404_10@ 但不断收到此错误:
Traceback (most recent call last): File "aws_s3.py",line 42,in
@H_404_10@ 做了一点我的研究,发现它是boto中的某种bug.如何继续这个?
最佳答案
由于我没有得到任何更新如何使其工作,我在我的bash脚本中使用了s3cmd.但我还是要测试文件> 1gb.
这是更新的代码 –
#!/bin/sh
MONGODB_SHELL='/usr/bin/mongo'
DUMP_UTILITY='/usr/bin/mongodump'
DB_NAME='amicus'
date_now=`date +%Y_%m_%d_%H_%M_%S`
dir_name='db_backup_'${date_now}
file_name='db_backup_'${date_now}'.bz2'
log() {
echo $1
}
do_cleanup(){
rm -rf db_backup_2010*
log 'cleaning up....'
}
do_backup(){
log 'snapshotting the db and creating archive' && \
${DUMP_UTILITY} -d ${DB_NAME} -o ${dir_name} && tar -jcf $file_name ${dir_name}
log 'data backd up and created snapshot'
}
save_in_s3(){
log 'saving the backup archive in amazon S3' && \
python aws_s3.py set ${file_name} && \
s3cmd put ${file_name} s3://YOURBUCKETNAME
log 'data backup saved in amazon s3'
}
do_backup && save_in_s3 && do_cleanup
@H_404_10@