This node takes a list of user-defined rules and tries to match them
to each row in the input table in the defined order. If a rule matches and the outcome is
TRUE, the row will be selected for inclusion in the first output table. If the first matching rule
yields FALSE the row will be included in the second output table.
If no rule matches this row will be put to the second output table (like when the last rule would be TRUE => FALSE).
The roles of first and second output table can be exchanged, see option below.
Each rule is represented by a line.
To add comments, start a line with
//
(comments can not be placed in the same line as a rule). Anything after // will not be interpreted as a rule.
Rules consist of a condition part (antecedent), which must
evaluate to
true
or
false
, and an outcome (consequent, after the => symbol) which is either
TRUE
or
FALSE
.
If no rule matches, the outcome is treated as if it were
FALSE
.
Columns are given by their name surrounded by $, numbers are given
in the usual decimal representation. Note that strings must not
contain (double-)quotes (for those cases use the following syntax: /Oscar Wilde's wisdom: "Experience is simply the name we give our mistakes."/). The flow variables are
represented by
$${
TypeCharacterAndFlowVarName
}$$
.
The TypeCharacter should be 'D' for double (real) values, 'I' for
integer values and 'S' for strings.
The logical expressions can be grouped with parentheses. The
precedence rules for them are the following: NOT binds most, AND,
XOR and finally OR the least.
Comparison operators always take
precedence over logical connectives.
All operators (and their names)
are case-sensitive.
The
ROWID
represents the row key string, the
ROWINDEX
is a the index of the row (first row has
0
value), while
ROWCOUNT
stands for the number of rows in the table.
Some example rules (each should be in one line):
// This is a comment $Col0$ > 0 => TRUEWhen the values in Col0 are greater than 0, we select the row to the first outport (if no previous rule matched with FALSE outcome).
$Col0$ = "Active" AND $Col1$ <= 5 => TRUEYou can combine conditions.
$Col0$ LIKE "Market Street*" AND
($Col1$ IN ("married", "divorced")
OR $Col2$ > 40) => FALSE
With parentheses you can combine multiple conditions.
$Col0$ MATCHES $${SFlowVar0}$$ OR $$ROWINDEX$$ < $${IFlowVar1}$$ =>
FALSE
The flow variables, table constants can also appear in conditions.
You can use either Ctrl+Space to insert predefined parts, or select them from the upper controls.
The following comparisons result true (other values are neither less, nor greater or equal to missing and NaN values):
- ? =,<=,>= ?
- NaN =,<=,>= NaN
Options
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- Geo Distances< 1 %
Column Distance< 1 %- Hash Calculator< 1 %
- AP Calculator< 1 %
- URL Domain Extractor< 1 %
- URL Normalizer< 1 %
- HTML Node to Text< 1 %
- HTTP Result Data Extractor< 1 %
- Extract Text< 1 %
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Workflows
justknimeit-27KNIME Hub- (3D) Fragment library design workflowKNIME Hub
- [01.CX] Combining Siloed Legacy Data with Running App's Back-End DatabaseKNIME Hub
- [03.CX] Extracting and Transforming Viber Broadcast Data from InfobipKNIME Hub
- [04.CX] Capturing Messenger LiveChat Data in Real-Time with ManyChat and Google SheetsKNIME Hub
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