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fix: Support string IDs in GraphFrame powerIterationClustering#773
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SemyonSinchenko merged 1 commit intographframes:mainfrom Jan 20, 2026
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The powerIterationClustering algorithm requires integral vertex IDs, but the GraphFrame API supports string IDs. Previously, this method would fail when called on a GraphFrame with string IDs. Now, we internally convert string IDs to long integers, run the clustering algorithm, then map the results back to the original string IDs.
Changes:
- In `GraphFrame.powerIterationClustering`:
- For non-integral ID types (e.g., string), use the precomputed `indexedEdges` (which contain `LONG_SRC`/`LONG_DST` long ID columns) to create a temporary edge DataFrame with long IDs.
- Preserve the optional weight column if specified.
- Execute PowerIterationClustering on the long-ID edges.
- Join the results (which have long IDs) back with `indexedVertices` to map the long cluster IDs back to the original vertex IDs.
- For integral ID types, the original behavior is unchanged.
- Added a test `powerIterationClustering string ids` in `GraphFrameSuite` to verify correctness with string IDs.
james-willis
approved these changes
Jan 20, 2026
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What changes were proposed in this pull request?
The powerIterationClustering algorithm requires integral vertex IDs, but the GraphFrame API supports string IDs. Previously, this method would fail when called on a GraphFrame with string IDs. Now, we internally convert string IDs to long integers, run the clustering algorithm, then map the results back to the original string IDs.
Changes:
In
GraphFrame.powerIterationClustering:indexedEdges(which containLONG_SRC/LONG_DSTlong ID columns) to create a temporary edge DataFrame with long IDs.indexedVerticesto map the long cluster IDs back to the original vertex IDs.Added a test
powerIterationClustering string idsinGraphFrameSuiteto verify correctness with string IDs.Why are the changes needed?
Close #757