Multiple actions includes a configuration tab in theirs parameters editor. This tab regroups parameters and options relative to the behavior of each action reagarding data processed.
¶ Common configuration tab v1
Parameters:
¶ Common Configuration Tab – wordExportation
This configuration panel allows the user to define fallback behaviors and validation rules when converting between data types during processing. These options ensure robust execution by handling type mismatches or value overflows gracefully.
¶ Available Parameters
¶ Convert float to key
Defines what happens when a float value is converted to a key (i.e., an integer identifier):
- If negative →
abort - If greater than 2^32 - 3 →
abort - If not an integer →
set to lower integer
(e.g., converting10.8to10)
¶ Convert string to float
Defines the fallback behavior when a string cannot be parsed as a float:
- If not a number →
abort
¶ Convert 'unknown/string' to key
Handles cases when an untyped or string value is converted to a key:
- If not a number →
abort - If negative →
abort - If greater than 2^32 - 3 →
abort - If not an integer →
set to lower integer
¶ Additional JavaScript libraries
Allows the user to specify external JavaScript libraries to include during execution, enabling advanced or custom logic.
¶ Purpose and Use Case
These settings are useful in situations where:
- Input data may be inconsistent or weakly typed
- Precision and numeric range enforcement are required
- Safe fallbacks are preferred over process interruption
- Pipelines must remain stable during dynamic or large-scale processing
Explicitly configuring these behaviors improves reliability and prevents runtime errors.
¶ Common configuration tab v2
Parameters:
¶ Configuration Tab – readPcap
This panel provides advanced configuration settings for the readPcap action.
Some options are only visible in Developer mode, which must be enabled to access advanced controls such as type conversions, partition logic, shared memory tuning, and execution safeguards.
¶ Developer Mode
When Developer mode is activated, additional parameters and technical options are displayed. These allow fine-tuning of data interpretation, error handling, and pipeline behavior in advanced use cases.
¶ Available Parameters
¶ Python version to use
Specifies the R runtime version.
This option includes a dropdown menu to select available versions.
¶ Custom partitioning mode
Toggle switch to enable custom row or column partitioning.
¶ Add an iteration with 'None' in partitioned mode
Controls whether a None placeholder iteration is included in partitioned execution.
¶ Convert "NULL" value to Python
Defines the value used when a NULL is encountered.
Dropdown options include default substitution values, such as 2^32-1 in unsigned integer column.
¶ Convert integers from Python to meta-type
Dropdown selector to determine how Python integers should be interpreted in ETL:
e.g., float, key, string.
¶ If integer negative
Specifies behavior when encountering a negative integer where only positive values are valid.
Dropdown options include abort, set to 0, skip, etc.
¶ Clean up extra spaces
Toggle switch to automatically trim whitespace in values.
¶ Check that input table is sorted in column partition mode
Verifies correct sort order for partitioned tables.
A warning icon is shown when validation may be required.
¶ Allow parallel execution
Enables concurrent row or partition processing when supported.
¶ Progress value when all tables have been read
Numeric control (with +/– buttons) to set the reported progress percentage when the final table has been fully processed.
Example: 45%.
¶ Progress value when R graphics are computed
Sets a separate progress indicator value during R-based graphic computation.
Example: 55%.
¶ Shared memory size
Specifies shared memory allocated to the action.
Numeric field with +/– controls, expressed in MB.
Example: 1 MB.
¶ Metadata → Direction
Defines the metadata direction used during processing.
Dropdown options include none, input, output, etc.
¶ If column missing
Specifies what to do if an expected column is not present in the dataset.
Options include:
stop pipeline executionset to NULLskip row- etc.
¶ Control Elements
- Dropdown selectors are used extensively to configure fallback behaviors and type handling.
- Toggle switches activate or deactivate specific features.
- Numeric controls (with plus/minus buttons) allow precise adjustment of parameters like memory size or progress reporting.
These settings allow power users and developers to ensure that the pipeline behaves predictably and efficiently in both standard and edge-case scenarios.