One noticeable limitation of Script 7 is that we have hard-coded the list of ASCII numerical values. Thus, we have successfully managed to remove “invincible” special characters.ĭynamically Detect and Replace ASCII Characters Īfter executing Script 7, we can see in Figure 6 that the length of all email address rows matches back to the length of row 1 – which was originally the correct email address. To demonstrate the challenge of cleaning up ASCII Control Characters, I have written a C# Console application shown in Script 4 that generates an output.txt text file that contains different variations of John Doe’s email address (only the first line has John Doe’s email address in the correct format).įROM. Table 2: Top 5 ASCII control characters (Source: ) Table 2 shows a sample list of the ASCII Control Characters. Such characters typically are not easy to detect (to the human eye) and thus not easily replaceable using the REPLACE T-SQL function. In addition to ASCII Printable Characters, the ASCII standard further defines a list of special characters collectively known as ASCII Control Characters. SELECT REPLACE ( REPLACE ( REPLACE ( email, '!', '' ), '#', '' ), '$', '' ) Įxecution of Script 3 results into a correctly formatted email address that is shown in Figure 2.įigure 2 Replacing ASCII Control Characters
Sql server convert code#
Script 1 shows us an example of how an ASCII numeric code 92 can be converted back into a backslash character as shown in Figure 1. Likewise, SQL Server, which uses ANSI – an improved version of ASCII, ships with a built-in CHAR function that can be used to convert an ASCII numerical code back to its original character code (or symbol).
Sql server convert software#
Many of the software vendors abide by ASCII and thus represents character codes according to the ASCII standard. For instance, the ASCII numeric code associated with the backslash ( \ ) character is 92. The American Standard Code for Information Interchange (ASCII) is one of the generally accepted standardized numeric codes for representing character data in a computer. In this article, we take a look at some of the issues you are likely to encounter when cleaning up source data that contains ASCII special characters and we also look at the user-defined function that could be applied to successfully remove such characters. One aspect of transforming source data that could get complicated relates to the removal of ASCII special characters such as new line characters and the horizontal tab. This could involve looking up foreign keys, converting values from one data type into another, or simply conducting data clean-ups by removing trailing and leading spaces.
Queries to views conversion is available only in one direction:īelow you can find examples show pairs of views/ queries translated with our software.One of the important steps in an ETL process involves the transformation of source data. Views conversion support is available in the following converters in two directions:
The following view types may be translated automatically using our programs: The rest will be done for you automatically. Just check queries/ views need to be translated in the list of views at customization stage. Our innovative parser analyses SQL Statements in source database and builds appropriate analogs for target db accordingly. So now you don’t have to be an SQL guru and it does not require any SQL knowledge from your side to translate Views/ Queries among various database engines.
Our solutions perform quick Views and Queries conversion between MS Access, MS SQL Server, MySQL, Oracle and PostgreSQL. Use DBConvert software to translate queries and views automatically between different databases.