Rule-based Row Splitter (Dictionary)

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 row. To add comments, start a line in a (condition) cell 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 was FALSE .

Columns are given by their names 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 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 row):

// This is a comment
$Col0$ > 0 => TRUE
When 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 => TRUE
You 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 $$ROWINDEX$$ < $${IFlowVar1}$$ =>
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


Rules column
Name of the column in the second input table containing the rules or just the conditions if an outcome column is also selected. In case the rules are available during configuration, the type of the outcome column is shown at the right end of this configuration row.
In case your rules are in two separate columns (condition and outcome), this should be the column containing the outcome values. (Ignored for the comment -starting with //- conditions. It should not contain missing values or other than the logical/boolean values or the TRUE/FALSE values in a String column.
Treat values starting with $ as references
When checked, the values in the string -outcome- column starting with $ are not treated as string constants with that value, but are tried to be parsed as references to flow variables, columns or table properties.
TRUE matches go to
A row will be included in the top/bottom output table if the first rule that matches has TRUE outcome depending on the selection. If the first matching rule yields FALSE or no rule matches the row will go to the other output table.
The errors found in the input table parsing the rules column
The warnings found in the input table parsing the rules column

Input Ports

Any data table that should be split
Table containing the rules

Output Ports

First output table with rows that are evaluated to TRUE
Second output table with rows that are evaluated to FALSE


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