nusquama-n8nworkflows-xyz/workflows/Create a table, and insert and update data in the table in Snowflake-824/readme-824.md

Create a table, and insert and update data in the table in Snowflake

https://n8nworkflows.xyz/workflows/create-a-table--and-insert-and-update-data-in-the-table-in-snowflake-824

Create a table, and insert and update data in the table in Snowflake

1. Workflow Overview

This workflow automates the process of creating a table in Snowflake, inserting data into it, and then updating existing data within that table. It is designed for users who need a simple, linear procedure to manage Snowflake table lifecycle operations via n8n’s Snowflake integration. The workflow is structured into the following logical blocks:

• 1.1 Table Creation: Creating a new table in Snowflake with specified schema.
• 1.2 Data Insertion: Inserting a row of data into the newly created table.
• 1.3 Data Update: Updating the data in the table based on predefined criteria.

Each block depends sequentially on the previous one, ensuring that operations are performed in the correct order.

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2. Block-by-Block Analysis

1.1 Table Creation

• Overview:
  This block is responsible for creating a new table named docs with two columns: id (integer) and name (string) in the Snowflake database.

• Nodes Involved:

  • On clicking 'execute'
  • Snowflake
  • Set

• Node Details:

  • On clicking 'execute'

    • Type & Role: Manual Trigger node to initiate workflow execution.
    • Configuration: No parameters, simply triggers downstream nodes when executed manually.
    • Input/Output: No input; output connects to Snowflake.
    • Edge Cases: None specific; if user does not trigger, workflow won’t run.

  • Snowflake

    • Type & Role: Executes SQL query on Snowflake to create table.
    • Configuration: Runs the query CREATE TABLE docs (id INT, name STRING); with operation set to executeQuery. Uses Snowflake credentials stored in n8n.
    • Input/Output: Input from On clicking 'execute', output to Set.
    • Edge Cases:
      • Table might already exist causing SQL error.
      • Network or auth errors with Snowflake credentials.
      • Query syntax errors if modified.
    • Version: n8n Snowflake node v1.

  • Set

    • Type & Role: Sets initial data to be inserted into the docs table.
    • Configuration: Defines an object with fields id: 1 (number) and name: 'n8n' (string). KeepOnlySet option enabled to discard any other data.
    • Input/Output: Input from Snowflake, output to Snowflake1.
    • Edge Cases: None significant; fixed data.

1.2 Data Insertion

• Overview:
  Inserts a new row into the docs table using the data prepared in the previous block.

• Nodes Involved:

  • Snowflake1
  • Set1

• Node Details:

  • Snowflake1

    • Type & Role: Inserts data into the Snowflake table docs.
    • Configuration:
      • Operation inferred as insert (default for table + columns specified).
      • Table set as "docs".
      • Columns specified as "id, name".
      • Credentials: same Snowflake credentials as before.
    • Input/Output: Input from Set, output to Set1.
    • Edge Cases:
      • Data type mismatches.
      • Duplicate primary key errors (if id is primary key).
      • Connectivity/auth errors.

  • Set1

    • Type & Role: Prepares updated data for the update operation.
    • Configuration: Sets object with id: 1 and name: 'nodemation'.
    • Input/Output: Input from Snowflake1, output to Snowflake2.
    • Edge Cases: None; static data.

1.3 Data Update

• Overview:
  Updates the name field in the docs table for the row with id = 1.

• Nodes Involved:

  • Snowflake2

• Node Details:

  • Snowflake2
    • Type & Role: Updates existing data in the Snowflake table.
    • Configuration:
      • Operation is update.
      • Table name dynamically referenced from previous node parameter {{$node["Snowflake1"].parameter["table"]}} which resolves to "docs".
      • Columns specified as "name".
      • Credentials: same Snowflake credentials.
    • Input/Output: Input from Set1. No output connections.
    • Edge Cases:
      • Update might fail if row with id=1 does not exist.
      • Credentials or network errors.
      • Expression resolving table name might fail if node names change.
    • Version: n8n Snowflake node v1.

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3. Summary Table

Node Name	Node Type	Functional Role	Input Node(s)	Output Node(s)	Sticky Note
On clicking 'execute'	Manual Trigger	Starts workflow manually	-	Snowflake
Snowflake	Snowflake	Creates table in Snowflake	On clicking 'execute'	Set
Set	Set	Sets initial insert data	Snowflake	Snowflake1
Snowflake1	Snowflake	Inserts data into table	Set	Set1
Set1	Set	Sets data for update	Snowflake1	Snowflake2
Snowflake2	Snowflake	Updates existing data	Set1	-

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4. Reproducing the Workflow from Scratch

1. Create Manual Trigger Node

   • Add node of type Manual Trigger named On clicking 'execute'.
   • No special configuration.

2. Create Snowflake Node for Table Creation

   • Add a Snowflake node named Snowflake.
   • Set operation to executeQuery.
   • Enter SQL query: CREATE TABLE docs (id INT, name STRING);
   • Select Snowflake credentials (Snowflake n8n Credentials) or create new with required access.
   • Connect output of On clicking 'execute' to input of this node.

3. Create Set Node for Insert Data

   • Add a Set node named Set.
   • Add two fields:
     • id (Number) with value 1
     • name (String) with value n8n
   • Enable Keep Only Set option to discard extraneous data.
   • Connect output of Snowflake to input of this node.

4. Create Snowflake Node for Insert Operation

   • Add a Snowflake node named Snowflake1.
   • Set operation to insert (default when specifying table and columns).
   • Set table name: docs
   • Set columns: id, name
   • Use the same Snowflake credentials.
   • Connect output of Set to input of this node.

5. Create Set Node for Update Data

   • Add a Set node named Set1.
   • Add two fields:
     • id (Number) with value 1
     • name (String) with value nodemation
   • Enable Keep Only Set option.
   • Connect output of Snowflake1 to input of this node.

6. Create Snowflake Node for Update Operation

   • Add a Snowflake node named Snowflake2.
   • Set operation to update.
   • Set table name expression: ={{$node["Snowflake1"].parameter["table"]}} to dynamically reference the table docs.
   • Set columns: name (only the column to be updated).
   • Use the same Snowflake credentials.
   • Connect output of Set1 to input of this node.

7. Save and activate workflow

   • Verify all node connections are correct.
   • Ensure Snowflake credentials have permissions for DDL and DML operations (CREATE, INSERT, UPDATE).
   • Execute manually using the trigger node.

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5. General Notes & Resources

Note Content	Context or Link
Snowflake credentials must have sufficient privileges to create tables and modify data.	Snowflake user permissions
If the table docs already exists, the CREATE TABLE query will fail; consider adding IF NOT EXISTS.	SQL best practices
Dynamic table name referencing via expression depends on node names remaining unchanged.	n8n expression documentation
For more complex workflows, consider error handling nodes to capture and manage SQL errors.	n8n error handling