testutils

package
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 Go to latest Published: Jul 14, 2022 License: Apache-2.0, BSD-2-Clause, BSD-3-Clause, + 8 more Imports: 23 Imported by: 0

Documentation

Overview

Package testutils contains utilities for generating random data and other helpers that are used for testing the various aspects of the parquet library.

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

func FillRandomBooleans 

func FillRandomBooleans(p float64, seed uint64, out []bool)

FillRandomBooleans populates out with random bools with the probability p of being false using seed as the random seed to the generator in order to allow consistency for testing. This uses a Bernoulli distribution of values.

func FillRandomByteArray 

func FillRandomByteArray(seed uint64, out []parquet.ByteArray, heap *memory.Buffer)

FillRandomByteArray populates out with random ByteArray values with lengths between 2 and 12 using heap as the actual memory storage used for the bytes generated. Each element of out will be some slice of the bytes in heap, and as such heap must outlive the byte array slices.

func FillRandomFixedByteArray 

func FillRandomFixedByteArray(seed uint64, out []parquet.FixedLenByteArray, heap *memory.Buffer, size int)

FillRandomFixedByteArray populates out with random FixedLenByteArray values with of a length equal to size using heap as the actual memory storage used for the bytes generated. Each element of out will be a slice of size bytes in heap, and as such heap must outlive the byte array slices.

func FillRandomFloat32 

func FillRandomFloat32(seed uint64, out []float32)

FillRandomFloat32 populates out with random float32 values using seed as the random seed for the generator to allow consistency for testing.

func FillRandomFloat64 

func FillRandomFloat64(seed uint64, out []float64)

FillRandomFloat64 populates out with random float64 values using seed as the random seed for the generator to allow consistency for testing.

func FillRandomInt16 

func FillRandomInt16(seed uint64, min, max int16, out []int16)

FillRandomInt16 populates the slice out with random int16 values between min and max using seed as the random see for generation to allow consistency for testing.

func FillRandomInt32 

func FillRandomInt32(seed uint64, out []int32)

FillRandomInt32 populates out with random int32 values using seed as the random seed for the generator to allow consistency for testing.

func FillRandomInt32Max 

func FillRandomInt32Max(seed uint64, max int32, out []int32)

FillRandomInt32Max populates out with random int32 values between 0 and max using seed as the random seed for the generator to allow consistency for testing.

func FillRandomInt64 

func FillRandomInt64(seed uint64, out []int64)

FillRandomInt64 populates out with random int64 values using seed as the random seed for the generator to allow consistency for testing.

func FillRandomInt64Max 

func FillRandomInt64Max(seed uint64, max int64, out []int64)

FillRandomInt64Max populates out with random int64 values between 0 and max using seed as the random seed for the generator to allow consistency for testing.

func FillRandomInt8 

func FillRandomInt8(seed uint64, min, max int8, out []int8)

FillRandomInt8 populates the slice out with random int8 values between min and max using seed as the random see for generation to allow consistency for testing.

func FillRandomInt96 

func FillRandomInt96(seed uint64, out []parquet.Int96)

FillRandomInt96 populates out with random Int96 values using seed as the random seed for the generator to allow consistency for testing. It does this by generating three random uint32 values for each int96 value.

func FillRandomUint16 

func FillRandomUint16(seed uint64, min, max uint16, out []uint16)

FillRandomUint16 populates the slice out with random uint16 values between min and max using seed as the random see for generation to allow consistency for testing.

func FillRandomUint32 

func FillRandomUint32(seed uint64, out []uint32)

FillRandomUint32 populates out with random uint32 values using seed as the random seed for the generator to allow consistency for testing.

func FillRandomUint32Max 

func FillRandomUint32Max(seed uint64, max uint32, out []uint32)

FillRandomUint32Max populates out with random uint32 values between 0 and max using seed as the random seed for the generator to allow consistency for testing.

func FillRandomUint64 

func FillRandomUint64(seed uint64, out []uint64)

FillRandomUint64 populates out with random uint64 values using seed as the random seed for the generator to allow consistency for testing.

func FillRandomUint64Max 

func FillRandomUint64Max(seed uint64, max uint64, out []uint64)

FillRandomUint64Max populates out with random uint64 values between 0 and max using seed as the random seed for the generator to allow consistency for testing.

func FillRandomUint8 

func FillRandomUint8(seed uint64, min, max uint8, out []uint8)

FillRandomUint8 populates the slice out with random uint8 values between min and max using seed as the random see for generation to allow consistency for testing.

func InitValues 

func InitValues(values interface{}, heap *memory.Buffer)

InitValues is a convenience function for generating a slice of random values based on the type. If the type is parquet.ByteArray or parquet.FixedLenByteArray, heap must not be null.

The default values are: 

[]bool uses the current time as the seed with only values of 1 being false, for use
 of creating validity boolean slices.
all other types use 0 as the seed
a []parquet.ByteArray is populated with lengths between 2 and 12
a []parquet.FixedLenByteArray is populated with fixed size random byte arrays of length 12.

func MakeDataPage 

func MakeDataPage(dataPageVersion parquet.DataPageVersion, d *schema.Column, values interface{}, nvals int, e parquet.Encoding, indexBuffer encoding.Buffer, defLvls, repLvls []int16, maxDef, maxRep int16) file.Page

func MakeDictPage 

func MakeDictPage(d *schema.Column, values interface{}, valuesPerPage []int, e parquet.Encoding) (*file.DictionaryPage, []encoding.Buffer)

func Max 

func Max(v1, v2 interface{}) interface{}

func Min 

func Min(v1, v2 interface{}) interface{}

func PaginateDict 

func PaginateDict(version parquet.DataPageVersion, d *schema.Column, values reflect.Value, defLevels, repLevels []int16, maxDef, maxRep int16, lvlsPerPage int, valuesPerPage []int, enc parquet.Encoding) []file.Page

func PaginatePlain 

func PaginatePlain(version parquet.DataPageVersion, d *schema.Column, values reflect.Value, defLevels, repLevels []int16,
	maxDef, maxRep int16, lvlsPerPage int, valuesPerPage []int, enc parquet.Encoding) []file.Page

func RandomByteArray 

func RandomByteArray(seed uint64, out []parquet.ByteArray, heap *memory.Buffer, minlen, maxlen int)

RandomByteArray populates out with random ByteArray values with lengths between minlen and maxlen using heap as the actual memory storage used for the bytes generated. Each element of out will be some slice of the bytes in heap, and as such heap must outlive the byte array slices.

func RandomDecimals 

func RandomDecimals(n int64, seed uint64, precision int32) []byte

RandomDecimals generates n random decimal values with precision determining the byte width for the values and seed as the random generator seed to allow consistency for testing. The resulting values will be either 32 bytes or 16 bytes each depending on the precision.

func RandomNonNull 

func RandomNonNull(dt arrow.DataType, size int) arrow.Array

RandomNonNull generates a random arrow array of the requested type with length size with no nulls. Accepts float32, float64, all integer primitives, Date32, date64, string, binary, fixed_size_binary, bool and decimal.

Always uses 0 as the seed with the following min/max restrictions: int16, uint16, int8, and uint8 will be min 0, max 64 Date32 and Date64 will be between 0 and 24 * 86400000 in increments of 86400000 String will all have the value "test-string" binary will have each value between length 2 and 12 but random bytes that are not limited to ascii fixed size binary will all be of length 10, random bytes are not limited to ascii bool will be approximately half false and half true randomly.

func RandomNullable 

func RandomNullable(dt arrow.DataType, size int, numNulls int) arrow.Array

RandomNullable generates a random arrow array of length size with approximately numNulls, at most there can be size/2 nulls. Other than there being nulls, the values follow the same rules as described in the docs for RandomNonNull.

func TypeToParquetType 

func TypeToParquetType(typ reflect.Type) parquet.Type

Types

type DataPageBuilder 

type DataPageBuilder struct {
	// contains filtered or unexported fields
}

func (*DataPageBuilder) AppendDefLevels 

func (d *DataPageBuilder) AppendDefLevels(lvls []int16, maxLvl int16)

func (*DataPageBuilder) AppendRepLevels 

func (d *DataPageBuilder) AppendRepLevels(lvls []int16, maxLvl int16)

func (*DataPageBuilder) AppendValues 

func (d *DataPageBuilder) AppendValues(desc *schema.Column, values interface{}, e parquet.Encoding)

type DictionaryPageBuilder 

type DictionaryPageBuilder struct {
	// contains filtered or unexported fields
}

func NewDictionaryPageBuilder 

func NewDictionaryPageBuilder(d *schema.Column) *DictionaryPageBuilder

func (*DictionaryPageBuilder) AppendValues 

func (d *DictionaryPageBuilder) AppendValues(values interface{}) encoding.Buffer

func (*DictionaryPageBuilder) NumValues 

func (d *DictionaryPageBuilder) NumValues() int32

func (*DictionaryPageBuilder) WriteDict 

func (d *DictionaryPageBuilder) WriteDict() *memory.Buffer

type MockPageReader 

type MockPageReader struct {
	mock.Mock
	// contains filtered or unexported fields
}

func (*MockPageReader) Err 

func (m *MockPageReader) Err() error

func (*MockPageReader) Next 

func (m *MockPageReader) Next() bool

func (*MockPageReader) Page 

func (m *MockPageReader) Page() file.Page

func (*MockPageReader) Reset 

func (m *MockPageReader) Reset(parquet.ReaderAtSeeker, int64, compress.Compression, *file.CryptoContext)

func (*MockPageReader) SetMaxPageHeaderSize 

func (m *MockPageReader) SetMaxPageHeaderSize(int)

type PrimitiveTypedTest 

type PrimitiveTypedTest struct {
	Node   schema.Node
	Schema *schema.Schema

	Typ reflect.Type

	DefLevels []int16
	RepLevels []int16
	Buffer    *memory.Buffer
	Values    interface{}

	ValuesOut    interface{}
	DefLevelsOut []int16
	RepLevelsOut []int16
}

func NewPrimitiveTypedTest 

func NewPrimitiveTypedTest(typ reflect.Type) PrimitiveTypedTest

func (*PrimitiveTypedTest) GenerateData 

func (p *PrimitiveTypedTest) GenerateData(nvalues int64)

func (*PrimitiveTypedTest) GetMinMax 

func (p *PrimitiveTypedTest) GetMinMax(stat metadata.TypedStatistics) (min, max interface{})

func (*PrimitiveTypedTest) ReadBatch 

func (p *PrimitiveTypedTest) ReadBatch(reader file.ColumnChunkReader, batch, valuesRead int64, defLevels, repLevels []int16) int64

func (*PrimitiveTypedTest) SetupSchema 

func (p *PrimitiveTypedTest) SetupSchema(rep parquet.Repetition, ncols int)

func (*PrimitiveTypedTest) SetupValuesOut 

func (p *PrimitiveTypedTest) SetupValuesOut(nvalues int64)

func (*PrimitiveTypedTest) UpdateStats 

func (p *PrimitiveTypedTest) UpdateStats(stat metadata.TypedStatistics, numNull int64)

func (*PrimitiveTypedTest) UpdateStatsSpaced 

func (p *PrimitiveTypedTest) UpdateStatsSpaced(stat metadata.TypedStatistics, numNull int64, validBits []byte, validBitsOffset int64)

func (*PrimitiveTypedTest) WriteBatchSubset 

func (p *PrimitiveTypedTest) WriteBatchSubset(batch, offset int, writer file.ColumnChunkWriter, defLevels, repLevels []int16) (int64, error)

func (*PrimitiveTypedTest) WriteBatchValues 

func (p *PrimitiveTypedTest) WriteBatchValues(writer file.ColumnChunkWriter, defLevels, repLevels []int16) (int64, error)

func (*PrimitiveTypedTest) WriteBatchValuesSpaced 

func (p *PrimitiveTypedTest) WriteBatchValuesSpaced(writer file.ColumnChunkWriter, defLevels, repLevels []int16, validBits []byte, validBitsOffset int64)

type RandomArrayGenerator 

type RandomArrayGenerator struct {
	// contains filtered or unexported fields
}

RandomArrayGenerator is a struct used for constructing Random Arrow arrays for use with testing.

func NewRandomArrayGenerator 

func NewRandomArrayGenerator(seed uint64) RandomArrayGenerator

NewRandomArrayGenerator constructs a new generator with the requested Seed

func (*RandomArrayGenerator) ByteArray 

func (r *RandomArrayGenerator) ByteArray(size int64, minLen, maxLen int32, nullProb float64) arrow.Array

ByteArray creates an array.String for use of creating random ByteArray values for testing parquet writing/reading. minLen/maxLen are the min and max length for a given value in the resulting array, with nullProb being the probability of a given index being null.

For this generation we only generate ascii values with a min of 'A' and max of 'z'.

func (*RandomArrayGenerator) Float64 

func (r *RandomArrayGenerator) Float64(size int64, pctNull float64) *array.Float64

Float64 generates a random array.Float64 of the requested size with pctNull as the probability that a given index will be null.

func (*RandomArrayGenerator) GenerateBitmap 

func (r *RandomArrayGenerator) GenerateBitmap(buffer []byte, n int64, prob float64) int64

GenerateBitmap generates a bitmap of n bits and stores it into buffer. Prob is the probability that a given bit will be zero, with 1-prob being the probability it will be 1. The return value is the number of bits that were left unset. The assumption being that buffer is currently zero initialized as this function does not clear any bits, it only sets 1s.

func (*RandomArrayGenerator) Int32 

func (r *RandomArrayGenerator) Int32(size int64, min, max int32, pctNull float64) *array.Int32

Int32 generates a random array.Int32 of the given size with each value between min and max, and pctNull as the probability that a given index will be null.

func (*RandomArrayGenerator) Uint8 

func (r *RandomArrayGenerator) Uint8(size int64, min, max uint8, prob float64) arrow.Array

Uint8 generates a random array.Uint8 of the requested size whose values are between min and max with prob as the probability that a given index will be null.

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