azure table storage python

Python multi-thread crawler and multiple data storage methods (Python crawler practice 2), python Crawler1. multi-process Crawler For crawlers with a large amount of data, you can use a python multi-process or multi-thread mechanism to process the data. multi-process refers

When I wrote a record to the azure storage table today, the remote server returned an error: (409) conflict. exception was reported at the beginning. After a while, it was better. Finally, I found an explanation in msdn: When a table is successfully deleted, it is immediately marked for deletion and is no longer acces

MySQL two table storage structures: MyISAM and InnoDB performance comparison test, myisaminnodb Reproduced http://www.jb51.net/article/5620.htm MySQL supports two main table storage formats: MyISAM and InnoDB. InnoDB was used for a project last month. The results are very slow and only a dozen pieces can be inserted in

Reprint Http://www.jb51.net/article/5620.htmMySQL supports the two main table storage format Myisam,innodb, last month to do a project, the first use of InnoDB, the result is particularly slow, 1 seconds can only insert 10. Later into the MyISAM format, one second to insert tens of thousands of bars. It was decided that the performance of the two tables was too different. Later, I guess, should not be diffe

MySQL supports the two main table storage format Myisam,innodb, last month when doing a project, first used InnoDB, the result is particularly slow, 1 seconds can only insert 10. Later replaced by the MyISAM format, a second inserted tens of thousands of bars. It was decided that the performance of the two tables was too different. Later, I guess, should not be so slow, it is estimated that the inserted sta

mysql| Comparison | performance MySQL supports the two main table storage format Myisam,innodb, last month when doing a project, first used InnoDB, the result is particularly slow, 1 seconds can only insert 10. Later replaced by the MyISAM format, a second inserted tens of thousands of bars. It was decided that the performance of the two tables was too different. Later, I guess, should not be so slow, it is

MySQL supports two main table storage formats: MyISAM and InnoDB. InnoDB was used for a project last month. The results are very slow and only a dozen pieces can be inserted in one second. Later I changed to MyISAM format and inserted tens of thousands of entries in one second. At that time, the performance of the two tables was also significantly different. Later, I guessed that the difference should not b

= Conn.cursor () # Create Insert_sqlinsert_blog_sql = ("INSERT IGNORE into blog (userid, id, blog_text, lat, LNG, created_time) VALUES (' {uid} ', ' {ID} ', ' {blog_text} ', ' {lat} ', ' {LNG} ', ' {created_time} ') ') Insert_pic_sql = ("Insert IGNORE into Pics (Pic_url, Pic_bin, MD5, EXIF) VALUES (' {pic_url} ', ' {pic_bin} ', ' {MD5} ', ' {exif} ') Insert_relationship_ sql = ("INSERT IGNORE into relationship (ID, MD5) VALUES (' {id} ', ' {MD5} ') ') uid = []with open ('./data/final_id.txt ',