[SPARK-56802][SQL] Add bulk read+widen path for FLOAT to Double Parquet vector updater#55816
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| DowncastLongUpdater (INT64 -> Decimal(9,2)) 2 2 0 455.0 2.2 0.4X | ||
| IntegerToLongUpdater 1 1 0 1280.6 0.8 1.0X | ||
| IntegerToDoubleUpdater 1 1 0 1537.9 0.7 1.2X | ||
| FloatToDoubleUpdater 1 1 0 1418.8 0.7 1.1X |
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This is the embodiment of this optimization.
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What changes were proposed in this pull request?
Extend the bulk read+widen pattern introduced in SPARK-56791 to
FloatToDoubleUpdater(parquet FLOAT read into SparkDoubleType).A new
readFloatsAsDoublesdefault method onVectorizedValuesReaderdoes the per-row fallback.VectorizedPlainValuesReaderoverrides it to fetch source bytes once viagetBuffer(total * 4)and run a tight in-method conversion loop.FloatToDoubleUpdater.readValuesbecomes a one-line delegation. The widen is Java's primitive float-to-double conversion: exact for every finite and infinite float; a NaN float widens to a double NaN (the JVM may canonicalize the payload).Why are the changes needed?
FloatToDoubleUpdater.readValuesallocates a freshByteBufferslice insidegetBuffer(4)for every element on the legacy path, and that allocation dominates the loop. Collapsing N allocations into one is the same win SPARK-56791 delivered for the INT32 -> Long sibling.Does this PR introduce any user-facing change?
No.
How was this patch tested?
(To be updated after the GHA benchmark and test runs complete.)
Was this patch authored or co-authored using generative AI tooling?
Generated-by: Claude Code