imbajin opened a new pull request, #785:
URL: https://github.com/apache/hugegraph-toolchain/pull/785

   ## Purpose of the PR
   
   Spark Loader previously captured non-serializable partition state and mixed 
Loader and Spark submit options. It now uses partition-owned writers and 
explicit Java 17 application/runtime classpaths.
   
   Original preparation and ongoing review: 
https://github.com/hugegraph/hugegraph-toolchain/pull/38. This PR uses the 
exact same organization branch, so subsequent branch fixes update both PRs.
   
   Required predecessors: 
https://github.com/apache/hugegraph-toolchain/pull/783.
   
   This PR targets ASF master and currently includes unmerged prerequisites. 
Review the module delta in the linked organization PR; merge predecessors 
first, then verify the upstream diff, required checks and reviews before 
merging. The prerequisite-union branch is an integration aid, not another merge 
unit.
   
   ## Main Changes
   
   - Serialize only partition inputs and restore the supported structured 
CSV/TEXT parsing path.
   - Preserve dry-run without graph mutations and propagate invalid option 
failures as unsuccessful process exits.
   - Forward extra drivers through explicit --jars and reject unsupported 
standalone cluster deploy mode.
   - Run the packaged API loading job with a separate executor and verify IDs, 
Unicode values and failure status.
   
   ## Verifying these changes
   
   Native Java 17 Spark unit, launcher and process-exit checks passed and the 
actionable organization review threads were resolved. Current-head runtime/CI 
outcomes remain authoritative. The permissive CSV input contract is retained: 
extra-field truncation and physical-header limitations are documented. 
Spark-HBase is excluded; no HBase backend acceptance is required.
   
   ## Documentation Status
   
   Migration and runtime limitations are documented in the module guides. 
Review and fixes continue in the organization repository; independent upstream 
review suggestions will also be read and adopted. No merge, deployment or 
release is performed by creating this PR.
   


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