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Failed to save modifications to the server: OLE DB or ODBC error

The error "Failed to save modifications to the server: OLE DB or ODBC error: [DataSource.Error] PostgreSQL: 57014: canceling statement due to statement timeout" occurs when Power BI cannot complete a query to a PostgreSQL database within the configured timeout period. This can result from long-running queries, insufficient database resources, or improper transaction handling.

Here are steps to troubleshoot and resolve the issue:

1. Increase the Query Timeout in Power BI

Power BI has a default query timeout that may need adjustment for complex or large queries.

Steps:

  1. In Power BI Desktop:
    • Go to File > Options and Settings > Options.
    • Under Global > Data Load, increase the "Maximum allowed timeout in minutes".
    • Under Current File > Data Load, increase the timeout setting if applicable.
  2. Save the changes and retry the query.

2. Optimize the SQL Query

If the query takes too long, optimize it to reduce runtime:

  • Analyze Execution Plan: Use PostgreSQL's EXPLAIN or EXPLAIN ANALYZE to identify bottlenecks.
  • Add Indexes: Ensure appropriate indexes exist for the query.
  • Reduce Data Volume: Fetch only necessary columns and rows (e.g., use SELECT with specific fields and add WHERE clauses).
  • Aggregate at Source: Perform any summarization, grouping, or filtering directly in the query.

3. Configure PostgreSQL Timeout Settings

On the PostgreSQL server, adjust the timeout settings to allow more time for the query to execute.

Steps:

  1. Increase statement_timeout:

    • Open postgresql.conf or connect to the database as an admin.
    • Increase the statement_timeout value:
      sql
      SET statement_timeout = '300000'; -- 5 minutes in milliseconds
    • Alternatively, set it globally in postgresql.conf and restart the server.

  2. Check Other Timeout Settings:

    • Verify idle_in_transaction_session_timeout or other timeout settings aren’t terminating the query prematurely.

4. Handle Transactions Properly

Ensure the Power BI query isn’t leaving transactions open, as this can cause cascading cancellations.

  • Check if the Power BI query includes explicit transaction handling (e.g., BEGIN or COMMIT statements).
  • If necessary, wrap complex operations in a single transaction.

5. Use DirectQuery or Import Mode

Switching modes can help:

  • DirectQuery: Ensures data is queried in real-time but depends on query performance.
  • Import Mode: Loads data into Power BI, reducing dependency on PostgreSQL during interaction.

6. Monitor PostgreSQL Logs

Check PostgreSQL logs for more details on the error:

  • Look for entries related to 57014 errors.
  • Identify if resource contention (CPU, memory, or disk I/O) is affecting query execution.

7. Partition Large Tables

If querying large tables, consider partitioning the data in PostgreSQL to improve query performance.

8. Test the Query Outside Power BI

Run the same query using a database client like pgAdmin or psql to verify if the issue is specific to Power BI.

If these steps don’t resolve the issue, share more details about your query or database configuration for further assistance.

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