Epoch time is common in some situations because it is easier to do date calculations than with normal dates. The most popular is UNIX Epoch time which is the number of seconds since the start of January 1, 1970.
SQL
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Here the other day I was helping my son with his homework. His task was to create a simple data model, create it in MySQL, and make a simple web page to access the data. I thought that after creating a few INSERT statements on his own I could help him with demo data. Since he had decided to create a movie database I googled for some movie data sets and decided to use the IMDB 5000. You can download it from Kaggle.com (free registration probably required).
Yesterday I was importing some data I downloaded. When creating a new table I tried to convert two columns with latitude and longitude, stored as VARCHAR2, to numbers (in order to use them in the SDO_GEOMETRY constructor). The create table as select (CTAS) statement failed with ORA-01722. Problem is it does not tell you which line or what value is the offender. You may turn on some tracing with event 1722, but using regular expression is much easier:
I have been using SQL Developer since it required some goodwill to work. Some of the motivation came from an annoyance with Toad sessions in the database. Iremember that I back then googled “how to block Toad users from the database”.
In case you do not want to grant a user access to data dictionary tables like DBA_TABLES, but will let user B see the list of all tables belonging to user A, you can work around it with a pipelined function in schema A:
If you don’t know what procrastination is you could start your own blog. Start a post with something like “I worked with … and decided to write three posts about it”. Procrastination is what you experience before the last post is ready; seemingly simple things take forever to get out the door.
Three family members invited me to play Wordfeud with them this Christmas. At the end of such a game losing badly to my sister-in-law and with only a few letters left I was thinking about how I could find candidate words using regular expression in SQL.