StreamableKNIME Base Nodes version 3.6.1.v201808311359 by KNIME AG, Zurich, Switzerland
This node has exactly the same functionality as the Row Filter node,
except for that it has an additional output that provides the rows that are
filtered out. For performance and disk space reasons you may want to consider
using the Row Filter node. The table at the upper port (with index 0) contains the
rows included in the result according to the filter criteria (the node settings).
The lower port (with index 1) provides a table with all rows not matching
the filter criteria. The sum of the number of rows in the two output tables
is the same than the number of rows in the input table.
Following is a copy of the node description of the Row Filter node:
The node allows for row filtering according to certain criteria. It can include
or exclude: certain ranges (by row number), rows with
a certain row ID, and rows with a certain value in a
selectable column (attribute). Below are the steps on how to configure the node
in its configuration dialog. Note: The node doesn't change the domain of the
data table. I. e. the upper and lower bounds or the possible values in the
table spec are not adapted, even if one of the bounds or one value is
fully filtered out.
In- or exclude rows by criteria
You must first select which criteria should
be used for filtering from the left-hand side. Also choose
whether to include or exclude rows according to the selected criteria.
Depending on the choice, you will then have to adjust the filter parameters in the right-hand panel.
Column value matching
If filter by attribute value is
selected, select the name of the column whose value should be matched.
If the selected column is a collection column the filter based on collection elements option
allows to filter each row based on the elements of the collection instead of its string representation.
Then, either enter a pattern for string matching, or a value range,
for range filtering. When using a pattern match, you can set checkmarks
according to whether the pattern contains wildcards or is a regular
expression. Wildcard patterns contain '*' (matching any sequence of
characters) and '?' (matching any one character). Examples of regular
expressions are given below. Also, a case sensitive match can be enabled
by the according checkmark. Note: if you select a pattern from the drop-down
menu of the pattern text field, the node still performs a comparison of
the string representation of the data values.
If a range is specified, and you specify only one boundary, the other
is then set to (plus or minus) infinity.
Here are some examples of regular expressions:
"^foo.*" matches anything that starts with "foo". The '^'-character
stands for the beginning of the word, the dot matches any (one) character,
and the asterisk allows any number (including zero) of the previous character.
"[0-9]*" matches any string of digits (including the empty string).
The  define a set of characters (they could be
added individually like , or by range). This set
matches any (one) character included in the set.
For a complete explanation of regular expressions see e.g. the JavaDoc
Row number range
If filter by range is selected, specify
the first row number to in/exclude. The end of the range can either
be specified by row number, or set to the end of the table, causing
all remaining rows to be in/excluded.
Row ID pattern
If filter by row ID is selected, specify
a regular expression, which is matched against the row ID of each row.
A checkmark can be set, if a case sensitive match should be performed
and if the row ID should start with the specified pattern.
Datatable from which to filter rows.
Datatable with rows meeting the specified criteria
Datatable with rows not meeting the specified criteria