150 - 163 of 63 tags for udf

These UDFs implement difference determination in months/years using smaller units of granularity, days/months, to accurately calculate the difference.

This UDF implements the Secure Hash Algorithm, SHA-1, for computing a condensed representation of a message. When a message of any length < 264 bits is input, the SHA-1 produces a 160-bit output called a message digest (FIPS 180-1 / RFC 3174). This distribution contains full source code, a test suite, scripts, and documentation.

This UDF implements the MD5 message-digest algorithm. The algorithm takes as input a message of arbitrary length and produces as output a 128-bit "fingerprint" or "message digest" of the input (RFC1321). This distribution contains full source code, a test suite, scripts, and documentation.

This UDF implements the great circle distance algorithm to determine the distance in miles between two points expressed in longitude and latitude. This distribution contains full source code, REPLACE FUNCTION SQL, a test suite and documentation.

The self extractable file includes the lobload application to load UDF's, SP's etc. into Teradata as part of installation.

Eight UDFs that search VARCHAR and CLOB string sources to see if they contain VARCHAR or CLOB string sets. Four of the UDFs are overloaded (named the same) to return the result in the form of VARCHAR or CLOB string while the other four UDFs are overloaded to return an INTEGER index into the string source if a match is found.

Is_numeric() UDF checks a field to see if it converts to a Teradata numeric value. one use would be for the ETL process to use the UDF to check incoming data that's destined for DECIMAL and INTEGER columns.

This package contains two string-related UDFs. The Edit Distance function returns the minimum number of edit operations required to transform string1 into string2. The N-Gram matching function returns the number of n-gram matches between two strings.

SQL Scalar UDF that writes varbyte or varchar arg to MQ.

UDFs for Byte operations, such as bitwise AND, OR, XOR, NOT, SHIFT, and conversion of a byte value to character.

Teradata UDFs for popular IBM DB2 functions.

In-place compression UDF. Compress column value for VARCHARs and BLOBS. Similar to zipping the column before inserting. Can also be used for encrypting data in the database. After compression data is unreadable until uncompressed.

This user guide describes the Teradata Warehouse 7.1 User Defined Function (UDF) feature. This guide is primarily targeted towards developers of UDFs and database administrators.