[C++] FLOAT statistics use values before binary32 narrowing
Evaluación
- Dificultad
- 2/5
- Tiempo estimado
- 1-3 horas
- Aptitud para principiantes
- 78/100
Línea de trabajo
Lee c++/src/ColumnWriter.cc, especialmente FloatingColumnWriter::add, donde el issue señala la diferencia entre el valor FLOAT escrito en DATA y el valor usado para las estadísticas. Revisa las pruebas C++ existentes para las estadísticas de columnas de punto flotante y el predicate pushdown, y añade cobertura para el caso reportado 0.1. La tarea estará completa cuando las estadísticas coincidan con el valor FLOAT serializado y la búsqueda por igualdad conserve la fila.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
The default C++ writer stores FLOAT statistics from the double input before narrowing it to binary32. A one-row file containing 0.1 returns no rows for an equality search argument whose literal exactly equals the stored FLOAT value.
Version and build
Apache ORC 3.0.0-SNAPSHOT, commit 2069271e06c92197c66def9d4a0214753ac9a3b8. Tested with GCC 13.3.0, CMake 3.28.3 and Python 3.12.3 on Ubuntu, Linux 6.17.0-1020-oracle, x86_64. C++ Release build, default numeric vectors and ZSTD compression. CMake Java and C++ tests were off. As checked on 2026-10-12, upstream main matches this commit.
Reproduction
Save this as repro.cc, then run the Bash commands below from the same directory. Reproducer: CC0-1.0.
#include <orc/OrcFile.hh>
#include <orc/Statistics.hh>
#include <orc/Vector.hh>
#include <orc/sargs/SearchArgument.hh>
#include <iostream>
#include <iomanip>
int main(int argc,char**argv){
if(argc!=2)return 2;
auto schema=orc::Type::buildTypeFromString("struct<x:float>");
{
auto out=orc::writeLocalFile(argv[1]);
auto writer=orc::createWriter(*schema,out.get(),orc::WriterOptions());
auto batch=writer->createRowBatch(1);
auto& root=dynamic_cast<orc::StructVectorBatch&>(*batch);
auto& x=dynamic_cast<orc::DoubleVectorBatch&>(*root.fields[0]);
root.numElements=x.numElements=1;x.data[0]=0.1;
writer->add(*batch);writer->close();
}
auto reader=orc::createReader(orc::readLocalFile(argv[1]),orc::ReaderOptions());
auto stats=reader->getColumnStatistics(1);
auto& f=dynamic_cast<orc::DoubleColumnStatistics&>(*stats);
std::cout<<std::setprecision(17)<<"minimum "<<f.getMinimum()<<"\nmaximum "<<f.getMaximum()<<"\nsum "<<f.getSum()<<"\n";
for(bool filtered:{false,true}){
orc::RowReaderOptions opts;
if(filtered) opts.searchArgument(orc::SearchArgumentFactory::newBuilder()->startAnd()
.equals("x",orc::PredicateDataType::FLOAT,orc::Literal(0.100000001490116119384765625)).end().build());
auto rows=reader->createRowReader(opts);auto batch=rows->createRowBatch(1);uint64_t count=0;
while(rows->next(*batch)){
auto& root=dynamic_cast<orc::StructVectorBatch&>(*batch);
auto& x=dynamic_cast<orc::DoubleVectorBatch&>(*root.fields[0]);
for(uint64_t i=0;i<root.numElements;i++) std::cout<<(filtered?"filtered_value ":"plain_value ")<<x.data[i]<<"\n";
count+=root.numElements;
}
std::cout<<(filtered?"filtered_rows ":"plain_rows ")<<count<<"\n";
}
}
git clone https://github.com/apache/orc.git orc
git -C orc checkout --detach 2069271e06c92197c66def9d4a0214753ac9a3b8
cmake -S orc -B orc-build \
-DBUILD_JAVA=OFF -DBUILD_CPP_TESTS=OFF -DBUILD_TOOLS=ON \
-DCMAKE_BUILD_TYPE=Release -DSTOP_BUILD_ON_WARNING=OFF
cmake --build orc-build --parallel 2
g++ -std=c++17 -O2 -Iorc/c++/include -Iorc-build/c++/include \
repro.cc orc-build/c++/src/liborc.a \
orc-build/_deps/protobuf-build/liborc_vendored_protobuf.a \
orc-build/_deps/zlib-build/liborc_vendored_zlib.a \
orc-build/_deps/snappy-build/liborc_vendored_snappy.a \
orc-build/_deps/lz4-build/liborc_vendored_lz4.a \
orc-build/_deps/zstd-build/lib/liborc_vendored_zstd.a \
-pthread -o repro
./repro input.orc
Expected and observed
The column statistics specification defines statistics over column values. FLOAT encoding uses IEEE 754 binary32. The C++ vector documentation represents FLOAT input with DoubleVectorBatch.
The stored value has bits 0x3dcccccd. Its exact value is 13421773/134217728, or 0.100000001490116119384765625. With one non-null row, minimum, maximum and sum should all equal that value. The equality search argument should retain the row.
Observed:
minimum 0.10000000000000001
maximum 0.10000000000000001
sum 0.10000000000000001
plain_value 0.10000000149011612
plain_rows 1
filtered_rows 0
An independent byte decoder confirms the DATA value and the mismatching statistics at file, stripe and row-group levels. The literal equals the decoded FLOAT exactly.
Source and scope
In FloatingColumnWriter::add, DATA uses static_cast<float>(doubleData[i]), while statistics use the original double. Statistics should use the value serialized as FLOAT.
Independent C++ controls pass with pre-rounded input, tight float vectors, exact 0.5, and DOUBLE. Negative -0.1 also reproduces. No read-type conversion is used. The independent harness initializes row counts and null flags and closes the writer before reading. Predicate pushdown may retain extra rows, but it must retain this matching row.
Java's FLOAT writer was compared with source at the same commit only. No Java writer runtime comparison or other compiler or architecture test is claimed.
Found by ChipLab's AI verification agents and independently reproduced.
ChipLab ref: CLAB-2026-863
- Lenguaje dominante
- Java
- Estrellas
- 770
- Forks
- 515
- Métricas de merge de PR
- Sin PR fusionados en 30 d
Preparar el entorno
- Sin Dockerfile ni archivo de Docker Compose
- Tiene una plantilla de pull request
- Sin guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Más de apache/orc
-
estimateRgEndOffset slop calculation is insufficient for incompressible dataPosiblemente ocupada @thexiay la tomó hace 166 días. Abierto
Dificultad 2/5 1-3 horas Aptitud para principiantes 78/100
-
cross compileAbierto
Dificultad 4/5 3-5 días Aptitud para principiantes 35/100
-
Dificultad 5/5 Más de una semana Aptitud para principiantes 20/100
Todos los issues de apache/orc
Issues similares
-
better night vision compatAbierto
Dificultad 2/5 1-3 horas Aptitud para principiantes 78/100
QuicksilverMC/Argentum#31 ·
-
bug
Dificultad 2/5 1-3 horas Aptitud para principiantes 78/100
navikt/mock-oauth2-server#1129 ·
Los mantenedores suelen responder en 1 día
-
[Blockly] historic state medianAbiertobug main ui
Dificultad 2/5 1-3 horas Aptitud para principiantes 65/100
openhab/openhab-webui#4600 ·
Los mantenedores suelen responder en 4 días
-
26.4 area: tags enhancement
Dificultad 2/5 1-3 horas Aptitud para principiantes 68/100
Los mantenedores suelen responder en 1 día
-
`DeepSeekChatModel` streaming returns no content when chunks have no `id`Posiblemente ocupada @lejuho la tomó hoy. Abiertostatus: waiting-for-triage
Dificultad 2/5 1-3 horas Aptitud para principiantes 78/100
spring-projects/spring-ai#7214 ·
Los mantenedores suelen responder en 2 días