fix: pysparkvalue error

[ZhiweiLinnn]

The session name is not available immediately after session creation started, the code should wait until it become available
verifed: https://screencast.googleplex.com/cast/NTAxNDYzNTk0OTMyNjMzNnwxYmU5ZjliZC1iMQ

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[gemini-code-assist]

Summary of Changes

Hello @ZhiweiLinnn, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request primarily addresses a PySparkValueError by ensuring that the Spark Connect session URL is correctly prefixed with sc://. This change is implemented in the session management logic to prevent connection errors. Additionally, a related unit test has been enhanced to support dynamic subnetwork configuration based on environment variables, improving test coverage for network-specific setups.

Highlights

• PySparkValueError Fix: Resolved an issue where PySparkValueError occurred because the Spark Connect URL was missing the required sc:// prefix.
• Session Name Update: Modified the _get_exiting_active_session method in session.py to prepend sc:// to the session_name to ensure correct URL formatting for Spark Connect.
• Test Enhancement: Updated a unit test in test_session.py to conditionally include a subnetwork URI in the expected session request if the DATAPROC_SPARK_CONNECT_SUBNET environment variable is configured, improving test coverage for network-specific setups.

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[gemini-code-assist]

Code Review

This pull request aims to fix a PySparkValueError by prepending sc:// to the session_name. However, this change is incorrect as session_name is used as a Google Cloud resource name for Dataproc API calls, not as a Spark Connect URL. This will break the logic for reusing existing sessions. The change in the test file is acceptable as it makes the test more robust to different environments.

[ZhiweiLinnn]

@fangyh20 @medb Can both of you help review?