Summarize or filter entries to another table
Hello,
please forgive my bad english but I am not a native speaker!
I have a table:
A..........B..............C..........D............E
Name.......CalendarWeek...Date.......Amount 1.....Amount 2
Tom........1..............05.01.09....100,00......20,00
Susan......1..............05.01.09.....50,00......00,00
Rob........1..............05.01.09....120,00......40,00
Tom........2..............13.01.09....140,00......30,00
Steve......2..............13.01.09....110,00......20,00
Tom........3..............22.01.09.....80,00......00,00
Susan......3..............22.01.09.....70,00......20,00
Tom........4..............29.01.09....100,00......20,00
Rob........4..............29.01.09....200,00......20,00
I would like to filter out one certain name and put all corresponding entries in another table, i.e. like this:
A..........B..............C..........D............E
Name.......CalendarWeek...Date.......Amount 1.....Amount 2
Tom........1..............05.01.09....100,00......20,00
Tom........2..............13.01.09....140,00......30,00
Tom........3..............22.01.09.....80,00......00,00
Tom........4..............29.01.09....100,00......20,00
I guess if I am able to do this I can figure out how to i.e. get certain weeks as well?
A..........B..............C..........D............E
Name.......CalendarWeek...Date.......Amount 1.....Amount 2
Tom........3..............22.01.09.....80,00......00,00
Susan......3..............22.01.09.....70,00......20,00
I don´t wanna reorganize or filter in the orginal table since I need the results saved on a new table for printing and archiving.
Thanks in advance
Tom
Tom,
Another approach you may explore is to use the new Category feature of Numbers '09. Using your sample with a few more data rows, three identical tables were created.
The Employee Table is categorized first by name and sub-categorized by week number while the Weekly table is categorized in reverse. Both are sorted by date, but the rows jump into place based on the categories as they are added. The category rows have been filled in with a darker green while a lighter green was used to fill the sub-categories in order to follow the content of the table visually.
Adding rows to these tables can be somewhat unnerving because the completion of a cell will immediately move the new row to its proper category, so a third table, identical to the other two except that no categories are defined, is created. Data on these rows is copied to the bottom of the other two tables which become properly updated immediately.
Formatting category rows is quite limited, but you are able to put subtotals in appropriate cells and add a fill color to make them stand out. Whatever formatting you apply to one category row is automatically carried to the other category rows of that level. More information is, of course, found under "Help".
Also illustrated below is the capability of collapsing the categories so that only subtotals by week are shown.
pw
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=========================
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This is a known issue in the previous SQL Server version and has been fixed in SQL Server 2012. You should be able to set 90 minutes and the change would be saved in SQL Server 2012.
http://connect.microsoft.com/SQLServer/feedback/details/346786/ssms-does-not-support-job-schedule-frequencies-greater-than-60-minutes
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Where matnr in ( ...)
Db2 will be able to perform this sql statement cheaply all 50 times, using one of sap standard indexes that contain the matnr column. But in actuality, if you consider the wider picture (all 50 executions of the statement), you will see that some of the data pages, especially the root and middle-tire index pages have been re-read each execution.
Even though db2 has mechanisms like buffer pools and sequential detection to try to minimize the i/o cost of such cases, those mechanisms can only minimize the actual i/o operations , not the cpu cost of re-reading them once they are in memory. Had you coded the join, db2 would have known that you actually need 500 rows from mara, it would have been able to use other access methods, and potentially consume less getpages i/o and cpu.
In other words , when you use the "for all entries " clause instead of coding a join , you are depriving the database of important information needed to select the best access path for your application. Moreover, you are depriving your DBA of the same vital information. When the DBA monitors & tunes the system, he (or she) is less likely to recognize this kind of resource waste. The DBA will see a simple statement that uses an index , he is less likely to realize that this statement is executed in a loop unnecessarily.
Beore using the "for all entries" clause and to evaluate the use of database views as a means to:
a. simplify sql
b. simplify abap code
c. get around open sql limitations.
check the links
http://www.thespot4sap.com/articles/SAPABAPPerformanceTuning_ForAllEntries.asp
The specified item was not found.
Regards,
Nagaraj
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