[Legacy] DataFrame

Description

The DataFrame module is the legacy (deprecated) version of the data storage system. It has been completely replaced by the DataStore nodes (DataStore Add, DataStore Filter, DataStore Bulk Add, etc.). It is maintained solely for compatibility with existing workflows that still use actionDF actions instead of action. It supports the same basic operations: add, bulk, filter, getField, map, modifyTags, isFoundKey and logs. New workflows should exclusively use DataStore nodes.

Configuration

Parameters

Parameter	Type	Required	Description
actionDF	select	Yes	Action to perform: add, bulk, filter, getField, map, modifyTags, isFoundKey, logs.
group	text	Yes	Data group name.
key	text	Depends	Record key. Supports {{variable}}.
row	text	Depends	Data to store. Use {{data}} for the complete input.
tags	text	No	Optional tags.

Output

{
  "nextModule": "siguiente_modulo",
  "data": { "isFound": true, "message": "Found", "row": {} }
}

Usage Example

Basic case

{
  "label": "dataframe add / Update",
  "actionDF": "add",
  "group": "clientes",
  "key": "id",
  "row": "{{data}}",
  "tags": ""
}

Notes

• DEPRECATED: This module is marked as deprecated. Use DataStore nodes instead.
• Legacy variants include: dataframe, dataframeadd, dataframebulk, dataframefilter, dataframegetField, dataframeMap, dataframeisFoundKey.
• All legacy variants are hidden in the interface (hidden: true) and display a deprecation message.
• Functionality is identical to DataStore but uses actionDF instead of action and DataFrameManager instead of DataStoreManager.
• Supports dynamic variables {{variable}} in key, row and dataKey.

Related Nodes

• dataStore (modern replacement, use this instead)
• DataStoreTrigger (trigger by DataStore changes)