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Convert String to DecimalType without casting to FloatType [databricks] #4081

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merged 9 commits into from
Nov 18, 2021

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@razajafri razajafri commented Nov 11, 2021

  • Added a castStringToDecimal method

Fixes #2019
depends on /rapidsai/cudf#9658

Signed-off-by: Raza Jafri <[email protected]>
Signed-off-by: Raza Jafri <[email protected]>
@razajafri razajafri requested a review from revans2 November 11, 2021 05:10
@razajafri razajafri changed the title Sp 2019 string decimal Convert String to DecimalType without casting to FloatType Nov 11, 2021
@razajafri razajafri self-assigned this Nov 11, 2021
@razajafri razajafri marked this pull request as draft November 11, 2021 05:17
@razajafri razajafri changed the base branch from branch-21.12 to branch-22.02 November 15, 2021 18:59
Signed-off-by: Raza Jafri <[email protected]>
Signed-off-by: Raza Jafri <[email protected]>
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@revans2 PTAL

@razajafri razajafri requested a review from revans2 November 15, 2021 19:28
@sameerz sameerz added the feature request New feature or request label Nov 16, 2021
@sameerz sameerz added this to the Nov 15 - Nov 26 milestone Nov 16, 2021
input: ColumnView,
ansiEnabled: Boolean): ColumnVector = {

// This regex gets applied to filter out known edge cases that would result in incorrect
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What are the known edge cases? would be very nice to know what we have to include this as it is expensive. Looking at the code it appears that is_fixed_point cuts off early if it sees something that it does not expect, so it might be nice to have a follow on issue to actually fix that, either in CUDF or in Spark specific code.

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Where is it cutting off early?

Are you saying if I pass c = ["", "1.2", "3", ""] and if the boolean vector is initialized to true
d = c.is_fixed_point() = [false, true, true, true]

basically everything after the first value in d is bogus?

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Sorry I was wrong. Reading through the code it looked like the check ignored anything after it saw something it didn't expect, but that is not true.

It looks like "1.5ABC" will result in a false being returned. Which if that is true, then I don't think we need the regular expression check at all any more. That is what triggered this? Why do we need the regexp. What "edge cases" does it cover that are not covered by the existing type check code?

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You are right we don't need the regex check anymore as the cudf is reporting everything we need. This check is still relevant in case of a float because it needs to convert the "infinity" => "inf"

withResource(input.strip()) { stripped =>
withResource(GpuScalar.from(null, DataTypes.StringType)) { nullString =>
// filter out strings containing breaking whitespace
val withoutWhitespace = withResource(ColumnVector.fromStrings("\r", "\n")) {
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So in ANSI mode is this not an error? Does the regular expression not match this, because it sure looks like the regexp would error out on anything that has any white space in it at all?

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This is a very good point. ANSI doesn't like spaces, and throws an ansi exception. I will file an issue for Floats as well.

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This is actually an unnecessary check as \r is being checked as a string which would be caught by the regex check.

@razajafri razajafri marked this pull request as ready for review November 16, 2021 16:59
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build

@razajafri razajafri changed the title Convert String to DecimalType without casting to FloatType Convert String to DecimalType without casting to FloatType [databricks] Nov 17, 2021
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build

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build

@revans2 revans2 merged commit 94d6e36 into NVIDIA:branch-22.02 Nov 18, 2021
@razajafri razajafri deleted the SP-2019-string-decimal branch November 18, 2021 18:35
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[BUG] The result of casting string to decimal is not identical to Apache Spark
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