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Medium severityconnectionSnowflake

Power BI Refresh Error:
250003

What does this error mean?

The Python connector could not complete an HTTP request to the Snowflake service. This is a network-level failure occurring after the connection was established — typically due to a transient network error, proxy interruption, or Snowflake service timeout.

Common causes

  • 1Transient network interruption between the client and Snowflake during a request
  • 2Proxy or firewall terminating long-running HTTP connections mid-flight
  • 3Snowflake service returning an unexpected or malformed HTTP response
  • 4DNS resolution failure on a subsequent request after initial connection
  • 5Request timeout set too low for large result sets or slow queries

How to fix it

  1. 1Retry the operation — error 250003 is often transient and resolves on the next attempt.
  2. 2Check network stability and proxy logs for connection resets around the failure time.
  3. 3Increase the login timeout: snowflake.connector.connect(..., login_timeout=60, network_timeout=60).
  4. 4If behind a proxy, verify HTTPS_PROXY is set correctly and the proxy supports persistent connections.
  5. 5Enable retry in the connector: use the retry_count and retry_delay parameters or wrap calls in a retry loop.

Frequently asked questions

Is 250003 retryable?

Yes — it is a transient error. The connector has built-in retry logic for certain HTTP errors. You can also implement application-level retries with exponential backoff.

How do I set network timeout in the Python connector?

Pass network_timeout=<seconds> to snowflake.connector.connect(). This controls the maximum time for individual HTTP requests, separate from login_timeout.

Official documentation: https://github.com/snowflakedb/snowflake-connector-python/blob/main/src/snowflake/connector/errorcode.py

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