expression, case insensitive ’thomas’ !~* ’.*vadim.*’ POSIX regular expressions provide a more powerful means for pattern matching than the LIKE and SIMILAR TO operators. Many Unix tools such as egrep are available. 9.8. Data Type Formatting Functions The PostgreSQL formatting functions provide a powerful set of tools for converting various data types (date/time, integer, floating point, numeric) to system is far beyond the scope of this document; in full generality it can be quite complex (yet powerful). The Kerberos FAQ1 or MIT Project Athena2 can be a good starting point for exploration. Several

expression, case insensitive ’thomas’ !~* ’.*vadim.*’ POSIX regular expressions provide a more powerful means for pattern matching than the LIKE and SIMILAR TO operators. Many Unix tools such as egrep are available. 9.8. Data Type Formatting Functions The PostgreSQL formatting functions provide a powerful set of tools for converting various data types (date/time, integer, floating point, numeric) to system is far beyond the scope of this document; in full generality it can be quite complex (yet powerful). The Kerberos FAQ1 or MIT Project Athena2 can be a good starting point for exploration. Several

expression, case insensitive ’thomas’ !~* ’.*vadim.*’ POSIX regular expressions provide a more powerful means for pattern matching than the LIKE and SIMILAR TO operators. Many Unix tools such as egrep are available. 9.8. Data Type Formatting Functions The PostgreSQL formatting functions provide a powerful set of tools for converting various data types (date/time, integer, floating point, numeric) to system is far beyond the scope of this document; in full generality it can be quite complex (yet powerful). The Kerberos FAQ1 or MIT Kerberos page2 can be good starting points for exploration. Several sources

expression, case insensitive ’thomas’ !~* ’.*vadim.*’ POSIX regular expressions provide a more powerful means for pattern matching than the LIKE and 146 Chapter 9. Functions and Operators SIMILAR TO are available. 9.8. Data Type Formatting Functions The PostgreSQL formatting functions provide a powerful set of tools for converting various data types (date/time, integer, floating point, numeric) to system is far beyond the scope of this document; in full generality it can be quite complex (yet powerful). The Kerberos FAQ1 or MIT Kerberos page2 can be good starting points for exploration. Several sources

expression, case insensitive ’thomas’ !~* ’.*vadim.*’ POSIX regular expressions provide a more powerful means for pattern matching than the LIKE and SIMILAR TO operators. Many Unix tools such as egrep are available. 9.8. Data Type Formatting Functions The PostgreSQL formatting functions provide a powerful set of tools for converting various data types (date/time, integer, floating point, numeric) to system is far beyond the scope of this document; in full generality it can be quite complex (yet powerful). The Kerberos FAQ1 or MIT Kerberos page2 can be good starting points for exploration. Several sources

expression, case insensitive ’thomas’ !~* ’.*vadim.*’ POSIX regular expressions provide a more powerful means for pattern matching than the LIKE and SIMILAR TO operators. Many Unix tools such as egrep are available. 9.8. Data Type Formatting Functions The PostgreSQL formatting functions provide a powerful set of tools for converting various data types (date/time, integer, floating point, numeric) to system is far beyond the scope of this document; in full generality it can be quite complex (yet powerful). The Kerberos FAQ1 or MIT Kerberos page2 can be good starting points for exploration. Several sources

expression, case insensitive ’thomas’ !~* ’.*vadim.*’ POSIX regular expressions provide a more powerful means for pattern matching than the LIKE and SIMILAR TO operators. Many Unix tools such as egrep are available. 9.8. Data Type Formatting Functions The PostgreSQL formatting functions provide a powerful set of tools for converting various data types (date/time, integer, floating point, numeric) to combination can be thought of as a query rewrite rule. A collection of such rewrite rules can be a powerful search aid. For example, you can expand the search using synonyms (e.g., new york, big apple, nyc

expression, case insensitive ’thomas’ !~* ’.*vadim.*’ POSIX regular expressions provide a more powerful means for pattern matching than the LIKE and SIMILAR TO operators. Many Unix tools such as egrep are available. 9.8. Data Type Formatting Functions The PostgreSQL formatting functions provide a powerful set of tools for converting various data types (date/time, integer, floating point, numeric) to combination can be thought of as a query rewrite rule. A collection of such rewrite rules can be a powerful search aid. For example, you can expand the search using synonyms (e.g., new york, big apple, nyc

expression, case insensitive ’thomas’ !~* ’.*vadim.*’ POSIX regular expressions provide a more powerful means for pattern matching than the LIKE and SIMILAR TO operators. Many Unix tools such as egrep available in BREs. 9.8. Data Type Formatting Functions The PostgreSQL formatting functions provide a powerful set of tools for converting various data types (date/time, integer, floating point, numeric) to combination can be thought of as a query rewrite rule. A collection of such rewrite rules can be a powerful search aid. For example, you can expand the search using synonyms (e.g., new york, big apple, nyc

expression, case insensitive ’thomas’ !~* ’.*vadim.*’ POSIX regular expressions provide a more powerful means for pattern matching than the LIKE and SIMILAR TO operators. Many Unix tools such as egrep available in BREs. 9.8. Data Type Formatting Functions The PostgreSQL formatting functions provide a powerful set of tools for converting various data types (date/time, integer, floating point, numeric) to combination can be thought of as a query rewrite rule. A collection of such rewrite rules can be a powerful search aid. For example, you can expand the search using synonyms (e.g., new york, big apple, nyc