prashantwason opened a new pull request, #19912:
URL: https://github.com/apache/hudi/pull/19912

   HoodieIncrementalFileIndex inherits sizeInBytes from HoodieFileIndex, which 
returns getTotalCachedFilesSize(). Since incremental reads bypass the base 
class file slice cache (using listFileSplits() instead), the cache is always 
empty and sizeInBytes returns 0.
   
   When Spark sees sizeInBytes=0, it treats the incremental source as tiny and 
selects BroadcastHashJoin for joins involving data derived from it. Spark's 
selectivity estimates on filtered subexpressions can drop below 
autoBroadcastJoinThreshold (default 10MB), causing broadcast exchanges that 
compete with the main scan for executor resources and time out (300s default) 
on large pipelines.
   
   In 0.x, IncrementalRelation extended BaseRelation which defaults sizeInBytes 
to Long.MaxValue, preventing Spark from broadcasting any subexpression that 
included the incremental source.
   
   Fix:
   - Add getIncrementalFilesSize() to MergeOnReadIncrementalRelation trait, 
implemented in V1 and V2 by summing file sizes from affectedFilesInCommits 
(commit metadata, no storage I/O).
   - Add hoodie.datasource.read.incr.reportMaxFileSize config (default true). 
When enabled, sizeInBytes returns Long.MaxValue matching pre-1.0 behavior. When 
disabled, returns actual file size from commit metadata.
   - Add safety net in HoodieFileIndex.sizeInBytes: return Long.MaxValue when 
getTotalCachedFilesSize is 0 even with HoodieSparkSessionExtension enabled, 
preventing any FileIndex subclass from reporting size=0.
   
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