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How to store linked list type data into MYSQL database?

+1 vote
How to store linked list type data into MYSQL database?
posted Apr 18, 2017 by Navya

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+1 vote

I have a table in Mysql DB like following

mysql> describe APPTBL;
| Field       | Type        | Null | Key | Default | Extra          |
| APP_ID      | int(11)     | NO   | PRI | NULL    | auto_increment |
| CREATE_DATE | date        | YES  |     | NULL    |                |
| CLOSE_DATE  | date        | YES  |     | NULL    |                |
| ACTION      | text        | YES  |     | NULL    |                |

While Starting of App, i am inserting the app details with CREATE_DATE and when it is closing, i am updating its CLOSE_DATE. But in case if user is restarting the app, i want to update NULL in place of CLOSE_DATE column. Here is my query,

mysql> update APPTBL set CLOSE_DATE = NULL where APP_ID = 1;
Query OK, 0 rows affected (0.00 sec)
Rows matched: 1  Changed: 0  Warnings: 0
mysql> select * from APPTBL ;
|    1      |  2013-10-08 | NULL       | XXXXXYYYYY |
1 row in set (0.00 sec)

But why i am not getting any result in this??

mysql> select * from APPTBL where CLOSE_DATE = NULL;
Empty set (0.00 sec)

Also, as i am writhing a java program using this where

rs = st.executeQuery("update APPTBL set CLOSE_DATE = NULL where APP_ID = 1");
   // Why it is coming here??
0 votes

This is probably a no brainer (I'm new to Navicat) but I have a backup of a database from Navicat.

I want to be able to see if a certain field has changed since this morning in the backup (We are having problems with an order that somehow "duplicated" the items. I need to see if there was only 1 of each item or two removed from inventory). I don't need to do a "restore" into the database, just have a look at the backup.

Is this possible without going through the hoops of creating a copy of the database and restoring to the copy (I assume this is possible) - I DO NOT want to restore into the currently running database :-)

+2 votes

How I 'll check how many rows inserted into every second on an average in a table of MySQL database?

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