Filter And Extract Matches
Returns a table containing all rows from a specified table in which the value of a specified column matches a specified pattern. For each matching row, each token from the specified column that matches a group in the pattern is extracted to a new column.
Arguments
This function has the following arguments:
Table: Table from which matching rows are to be extracted.
Filter Column Name: Text string specifying the column of
Table to be searched for matches.
Pattern: Text string that is either a simple string that optionally uses * as a wildcard, or a regular expression as described in the following Web page:
Pattern Is Reg Expr: Numerical value (0 or 1) that determines whether the pattern is interpreted as a simple string (that optionally uses * as a wildcard) or as a regular expression. If this argument is 0 (the default),
Pattern is interpreted as a simple string. Otherwise,
Pattern is interpreted as a regular expression.
Number of New Columns: Numerical value that specifies the number of new columns to be added to the result table to contain the matching groups extracted from the filter column.
New Column Names: Text string that specifies the name of each new column. Separate column names with a semicolon.
This function returns a table.
Example
Consider the following arguments:
Table: Table that includes a
Customer Name column.
Filter Column Name:
CustomerName.
Pattern:
* * Pattern Is Reg Expr:
0 Number of New Columns: 2
New Column Names:
FirstName;LastName In this case, if a row of Table contains Joe Smith in the CustomerName column, the corresponding row in the result table contains Joe in the FirstName column and Smith in the LastName column.
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Software AG, Darmstadt, Germany and/or Software AG USA Inc., Reston, VA, USA, and/or Terracotta Inc., San Francisco, CA, USA, and/or Software AG (Canada) Inc., Cambridge, Ontario, Canada, and/or, Software AG (UK) Ltd., Derby, United Kingdom, and/or Software A.G. (Israel) Ltd., Or-Yehuda, Israel and/or their licensors.