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Fast double parser #935

Merged
merged 4 commits into from
Oct 31, 2024
Merged

Fast double parser #935

merged 4 commits into from
Oct 31, 2024

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Jolanrensen
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@Jolanrensen Jolanrensen commented Oct 28, 2024

Fixes #607

Created under csv umbrella issue: #827

Introduces FastDoubleParser as optional alternative double parser. It can be enabled as experimental option (for now) in ParserOptions.

The configurable version of this double parser was created for us :) and the way I implemented it, it can solve some of the locale-fallback-issues we were facing before.
Check the tests I created in this PR for more some examples.

It's also faster than NumberFormat!

FastDoubleParser is also used by Deephaven CSV, which helps with our new csv implementation.

@Jolanrensen Jolanrensen added csv CSV / delim related issues bug Something isn't working performance Something related to how fast the library can handle data labels Oct 28, 2024
This was referenced Oct 28, 2024
@Jolanrensen Jolanrensen marked this pull request as ready for review October 28, 2024 14:04
@@ -19,24 +19,31 @@ import kotlin.annotation.AnnotationTarget.VALUE_PARAMETER
* {@include [Indent]}
*
*/
@ExcludeFromSources
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These documentation interfaces can be excluded from the sources as they are only ever accessed from kdoc.

private val logger = KotlinLogging.logger {}

// (lowercase) strings that are recognized to represent infinity and NaN in doubles in all locales
private val INFINITIES = arrayOf("∞", "inf", "infinity", "infty")
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How did you collect this information? Are some standards somewhere available?

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We already had "inf" and "infinity". I added "infty" because it's used in the math world, like LaTeX, and finally, I supposed the infinity symbol itself should also be recognizable. Any others we should add?

*
* If [ParserOptions.useFastDoubleParser] is enabled, it will try to parse the input with an _EXPERIMENTAL_
* fast double parser, [FastDoubleParser](https://github.com/wrandelshofer/FastDoubleParser).
* If not, or if it fails, it will use [NumberFormat] to parse the input.
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Great approach!

.withPlusSign(setOf('+'))
.withDecimalSeparator(DecimalFormatSymbols::getDecimalSeparator.fromLocalWithFallBack())
.withGroupingSeparator(DecimalFormatSymbols::getGroupingSeparator.fromLocalWithFallBack())
.withExponentSeparator(DecimalFormatSymbols::getExponentSeparator.fromLocalWithFallBack())
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What does it mean set(get.fromLocalWithFallBack) construction?

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@Jolanrensen Jolanrensen Oct 30, 2024

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you can read it as a sentence :) "::getDecimalSeparator.fromLocalWithFallBack()". This means it calls localDecimalFormatSymbols.getDecimalSeparator() first and then adds the fallback character from fallbackDecimalFormatSymbols.getDecimalSeparator(). All these characters are then provided to the NumberFormatSymbols builder here :)

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I made it work on the function reference so that the function can be called from different DecimalFormatSymbols instances

in NANS -> Double.NaN

else -> {
// not thread safe; must be created here
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why is thread safety important here? Or this is a reason to create an Instance of Number Format?

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Deephaven holds a single instance of this FastDoubleParser class but can parse columns in parallel. Previously I put numberFormat outside the function, but this caused bugs, so I put it inside here and it works fine :). I put the warning here because you might assume you could save an object creation by putting val numberFormat = NumberFormat.getInstance(locale) inside the class and reusing it, but no, you cannot.

}
}.also {
if (it == null) {
logger.debug { "Could not parse '$this' as Double with NumberFormat with locale '$locale'." }
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Probably we could also add some logs about experimental fast double parsing like a marker for our logs

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KLogger already provides a marker. It recognizes the file/class it's called in. So this will look something like: DEBUG org.jetbrains.kotlinx.dataframe.impl.io.FastDoubleParser - Could not parse 'hello' as Double with NumberFormat with locale 'en_US'.

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we can just search for "FastDoubleParser" :)

"100123.35",
"-204,235.23",
"1.234e3",
"3e-04", // failed with old double parser
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Will it fail, if we disable fast parsing? Or they aligned now in the terms of supported functionality, locales?
And one just is faster than another?

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nope, it will fail in the old one. We cannot make the old one behave the same, as it's not supported by NumberFormat.


@Test
fun `can fast parse german locale`() {
val parser = FastDoubleParser(ParserOptions(locale = Locale.GERMANY, useFastDoubleParser = true))
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Vielen Dank im Voraus!


@Test
fun `can fast parse french locale`() {
val parser = FastDoubleParser(ParserOptions(locale = Locale.FRANCE, useFastDoubleParser = true))
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I started to think: could we write a test, which just generates checks for all possible locales and constants are obtained from Double values -> String -> parseDouble again?

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"all" locales? XD I can try, but that's like hundreds of locales and may be system-dependent.

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Also, there are some locales like Arabic where NumberFormat itself fails to add "-" in front of negative numbers :/ It's fixed in later Java versions, but not 8 yet.

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Okay this was actually a really good idea! It made me catch two separate bugs which I reported to FastDoubleParser.

  • Minus signs in RTL languages, like Arabic, are (in Java 8) marked with the Arabic letter mark instead of, you know, a minus sign... FastDoubleParser cannot handle this, because the character is a format symbol, not a normal one. NumberFormat does handle it, so to align our behavior with theirs, I now manually check for format symbol minus signs and replace them with '-' before parsing.
  • In Finnish and other langauges, they use exponentSeparator='e' and nan="epäluku", which breaks as both contain the letter 'e'. I've reported this and luckily our fallback method catches it.

# Conflicts:
#	core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/util/deprecationMessages.kt
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Thanks for the review :) I'll merge it for now so I can continue with the csv parser

@Jolanrensen Jolanrensen merged commit 903f58b into master Oct 31, 2024
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Incorrect parsing of CSV file. Locale is ignored for some columns
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