When the database size and performance requirements make a full database backup impractical, you can create a file backup instead.
We usually need a particular sub-set of this data and when we pick up only the part we need, this saves a lot of time in query execution and speeds up performance.
For example, below we pick up all the age and gender values for all employees whose age is greater than 25 years. This means that this data would be returned for ages 26 or more. Also note that the number 25 is written without any double or single quotes.
On pressing execute you can see that 28 rows have been retrieved and on skimming the data, you realize that the filter was successfully applied. If you wanted to include employees with age 25, just add an equals sign in front of the greater than sign to make it a greater than or equal to condition as shown below.
On execution, you get the data for ages 25 or more as seen below. You can keep adding AND conditions and continue adding more filters like this. I now add the gender filter as male.
Notice that the value has been enclosed in single quotes. This is really important.
Whenever the value is a string of characters, it should be in single quotes. Always remember that fields, and object names are always in double quotes but data values that are characters will always be in single quotes.
We see no data. So this can either mean that there is no row in this table that matches this condition or that we messed up the filter somehow. I screwed this up to teach you an important lesson — Always check the data before applying filters.
Anything inside a quote is case sensitive. Now we correct the filter and capitalise the M in male. Executing it this time provides the correct results. The below example shows addition of a third filter. Upon execution you get the result as below. This statement can be a bit misleading and not understood in the way it was meant to.
Read it once again. What it means is we need the data for people who are 19 without any further filters or anyone greater than or equal to 25 years but this time with the filter of being male and without children.
On execution, we have the below result.
As seen here, due to the OR condition, we now get even records for Female gender who are 19 years of age where even one of them has kids.
Similarly, there are now males of 19 in the data with kids. But on everyone at and over 25, the further filters got applied correctly.
Now what if we wished for the gender and children filters to be applied on the 19 year old as well? In basic mathematics, we learnt that brackets are always evaluated first. The same rule applies here. We put the age restrictions inside a bracket with an OR condition so that this becomes a single block and then the AND conditions with gender and children filter make sure we get the correct result.
Upon execution, we see that the result is what we expected.I'm trying to implement a very basic keyword search in an application using linq-to-sql.
My search terms are in an array of strings, each array item being one word, and I would like to find the rows that contain the search terms. SQL, a programming language used to communicate with databases, is one of the most useful skills to know for recruiting in the tech industry.
Pronounced "ess-cue-ell" and short for Structured Query Language, this incredible tool is a must-have for analyzing large data sets. 1. Using Standalone Rowsets to Write a File The following is an example of using standalone rowsets along with a file layout to write a file: writes a file using a file layout that contains parent-child records.
SAP HANA SQL SCRIPT LIKE Operator. Now there are situations where we need to return the list of data where a record starts with/ends with/contains a particular character or set of characters. SAP NetWeaver AS ABAP Release , ©Copyright SAP AG. All rights reserved.
ABAP - Keyword Documentation This documentation . The BACKUP statement is not allowed in an explicit or implicit transaction.
Using SqlBulkCopy. We write a function to perform the copy operation. The function, Out-DataTable can be found in Appendix (A).This function takes care of converting the output of . SAP HANA SQL SCRIPT LIKE Operator. Now there are situations where we need to return the list of data where a record starts with/ends with/contains a particular character or set of characters. Changes existing data in a table or view in SQL Server For examples, see Examples. Specifies the temporary named result set or view, also known as common table expression (CTE), defined within the scope of the UPDATE statement. The CTE result set is derived from a simple query and is.
Under the simple recovery model, read/write files must all be backed up together. This helps make sure that the database can be restored to a consistent point in time. Instead of individually specifying each read/write file.