Fix rounds over decimal in Spark 330+ #5786
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Signed-off-by: sperlingxx <[email protected]>
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jlowe
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Jun 8, 2022
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| rounded.castTo( | ||
| DecimalUtil.createCudfDecimal(dataType.asInstanceOf[DecimalType])) |
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This cast seems unnecessary in most cases, may be worth checking if the desired cudf type is already the type computed to avoid an unnecessary copy.
nartal1
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Jun 8, 2022
tgravescs
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* Correct the error message for test_mod_pmod_by_zero (#5781) Signed-off-by: Firestarman <[email protected]> * Update the error string for test_cast_neg_to_decimal_err on 330[databricks] (#5784) * Update the error string for test_cast_neg_to_decimal_err on 330 Signed-off-by: Firestarman <[email protected]> * address comments Signed-off-by: Firestarman <[email protected]> * Throw an exception when attempting to read columnar encrypted Parquet files on the GPU [databricks] (#5761) * Throw useful message when parquet columnar encryption enabled * update message * fix message * handle native encrypted * move variable * cleanup * fix native check * cleanup imports * fix import order * Sign off Signed-off-by: Thomas Graves <[email protected]> * Shim the parquet crypto exception check Signed-off-by: Thomas Graves <[email protected]> * shim 320cdh * Add test for parquet encryption Signed-off-by: Thomas Graves <[email protected]> * fix rounds over decimal in Spark 330+ (#5786) Passes the datatype of round-like functions directly to GPU overrides, so as to adapt different Spark versions. Signed-off-by: sperlingxx <[email protected]> * Fix the overflow of container type when casting floats to decimal (#5766) Fixes #5765 Fix the potential overflow when casting float/double to decimal. The overflow occurs on the container decimal for HALF_UP round. Signed-off-by: sperlingxx <[email protected]> Co-authored-by: Liangcai Li <[email protected]> Co-authored-by: Alfred Xu <[email protected]>
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SPARK-39226 changed the way to compute output precision and scale for round-like functions, which fails the round-like tests: #5769.
This PR passes the datatype of round-like functions directly to GPU overrides, so as to adapt different Spark versions. The shim method approach doesn't work very well in this case because the computition of decimal precision and scale requiring member variables of rounds-like functions.
This PR also modifies the round logic over decimal type to adapt both original and new manner of datatype. In addition, some test cases are skipped in Spark 330+ since they are not supported by Spark any more.
Signed-off-by: sperlingxx [email protected]