DataVision is an Open Source reporting tool similar to Crystal Reports
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When you have an auto_increment field on a table, and you’re doing a batch import of new data, you often want to insert a row, then insert more rows that have a foreign key referencing the first row. For example, you want to insert a COMPANY entity, then insert a few dozen PERSON entities under that company. Assuming you have no unique and not-null fields on the COMPANY entity (if company_name were unique and not-null, then you could just issue a select immediately after inserting to get its ID), and assuming you want a thread-safe solution (you could just select for the highest ID in the table immediately after inserting, but since MySQL is by default not transaction-safe, another thread could come in and insert another company right after you insert and before your select), you simply need to have
The MySQLdb documentation mentions conn.insert_id(), however this appears to have been deprecated, maybe? This really should be on the cursor object anyway. And behold! There is a
lastrowid on it! It’s just a little bit undocumented:
We are using here pymysql client library:
import pymysql conn = pymysql.connect( db='student_record', user='student_record', passwd='student_record_123456', host='localhost') c = conn.cursor() name='john doe' dept='information technology' query="INSERT INTO student(name,dept) VALUES(%s,%s)" c.execute(query,(name,dept)) conn.commit() print c.lastrowid #will print last insert mysql auto_increment id
Gearman provides a generic application framework to farm out work to other machines or processes that are better suited to do the work. It allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events. In other words, it is the nervous system for how distributed processing communicates. A few strong points about Gearman:
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Its more important,when you are working with big-database,data need to be process parallel.
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Some Time We Have a table column which store its value as comma separated
For example Two Tables [Post] and [Categories]
So if we want to find exact row of category from post table with category_id=11;
[ Workable Query ]
Then We have to Write Following Query:
=> Select * from Post Where FIND_IN_SET(11,Category_id);
So,why should We do this for?
[ Non Workable Query ]
We Can find it with the query:
=> Select *from Post Where Category_id=11;
Not Work Because There is comma separate and not exact only the numbers there.
=> Select *from Post Where Category_id Like ‘%11%’;
it Also Bring The The row That Contain 1 as value
=> Select *from Post Where Category_id REGEXP ‘’;
Same Result Come of Step 3
So the function is FIND_IN_SET(Value,Column);