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On this page
  • How to Use
  • 1. Insert and Select a Table Block
  • 2. Open the Update Task
  • 3. Configure Basic Info
  • 4. Select Columns to Update
  • 5. Set Filter Conditions
  • 6. Execute or Save
  1. TASKS
  2. ETL

Update

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Last updated 10 days ago

The Update task in Gaio DataOS allows you to modify existing records in a table based on custom filter conditions. This is ideal for correcting data, applying transformation rules, or dynamically synchronizing values during ETL flows.

ImImportant: This task can only be used when a table is selected in the flow. Be sure to add and connect a Table before configuring the update.


How to Use

1. Insert and Select a Table Block

  • Add a Table to your flow and choose the dataset you want to work with.

  • The Update task will only become available once a table is selected.


2. Open the Update Task

  • In the left-hand menu, go to: Tasks > ETL > Update


3. Configure Basic Info

  • Task label: (optional) Add a name for the task to identify it in your flow.

  • Table: The table should be automatically linked from your selected block (e.g., new_sales).


4. Select Columns to Update

  • In the Columns section, choose the fields you want to update.

  • For each selected column, define:

Type: Defines how the new value will be set:

  • Value: Static input

  • Parameter: Uses a predefined variable

  • Computed: Accepts formulas (e.g., now(), 1 + 1) |

Value: Enter the new value or expression


5. Set Filter Conditions

  • In the Filters section, specify which records should be updated.

  • For each filter:

Field
Description

Column

Select the column to filter by

Type

Input type (e.g., Value, Parameter)

Operator

Comparison logic (e.g., Equal to, Greater than)

Value

The value to match

Example: Update the order_date only where order_id = 1001.

Important: If there are no filters, all rows in the table will be updated.


6. Execute or Save

  • Run: Immediately executes the update (one-time).

  • Save: Saves the configuration to your data flow.

  • Save and Run: Saves and executes the update at once.


Use Cases

  • Correct outdated or incorrect values

  • Apply standardization rules (e.g., replace empty values)

  • Use dynamic inputs via parameters

  • Update timestamps or statuses during automated flows