metadata

package
v15.0.2 Latest Latest
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 Go to latest Published: Mar 13, 2024 License: Apache-2.0, BSD-2-Clause, BSD-3-Clause, + 7 more Imports: 27 Imported by: 0

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Index

Constants

This section is empty.

Variables

View Source 
var DefaultCompressionType = compress.Codecs.Uncompressed

DefaultCompressionType is used unless a different compression is specified in the properties

View Source 
var (

	// Parquet816FixedVersion is the version used for fixing PARQUET-816
	// that changed the padding calculations for dictionary headers on row groups.
	Parquet816FixedVersion = NewAppVersionExplicit("parquet-mr", 1, 2, 9)
)

Functions

func GetStatValue 

func GetStatValue(typ parquet.Type, val []byte) interface{}

Types

type AppVersion 

type AppVersion struct {
	App     string
	Build   string
	Version struct {
		Major      int
		Minor      int
		Patch      int
		Unknown    string
		PreRelease string
		BuildInfo  string
	}
}

AppVersion represents a specific application version either read from or written to a parquet file.

func NewAppVersion 

func NewAppVersion(createdby string) *AppVersion

NewAppVersion parses a "created by" string such as "parquet-go 1.0.0".

It also supports handling pre-releases and build info such as 

parquet-cpp version 1.5.0ab-xyz5.5.0+cd (build abcd)

func NewAppVersionExplicit 

func NewAppVersionExplicit(app string, major, minor, patch int) *AppVersion

NewAppVersionExplicit is a convenience function to construct a specific application version from the given app string and version

func (AppVersion) Equal 

func (v AppVersion) Equal(other *AppVersion) bool

Equal only compares the Application and major/minor/patch versions.

Pre-release and build info are not considered.

func (AppVersion) HasCorrectStatistics 

func (v AppVersion) HasCorrectStatistics(coltype parquet.Type, logicalType schema.LogicalType, stats EncodedStatistics, sort schema.SortOrder) bool

HasCorrectStatistics checks whether or not the statistics are valid to be used based on the primitive type and the version since previous versions had issues with properly computing stats.

Reference: parquet-cpp/src/parquet/metadata.cc

PARQUET-686 has more discussion on statistics

func (AppVersion) LessThan 

func (v AppVersion) LessThan(other *AppVersion) bool

LessThan compares the app versions and returns true if this version is "less than" the passed version.

If the apps don't match, this always returns false. Otherwise it compares the major versions first, then the minor versions, and finally the patch versions.

Pre-release and build info are not considered.

type BooleanStatistics 

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

BooleanStatistics is the typed interface for managing stats for a column of Boolean type.

func NewBooleanStatistics 

func NewBooleanStatistics(descr *schema.Column, mem memory.Allocator) *BooleanStatistics

NewBooleanStatistics constructs an appropriate stat object type using the given column descriptor and allocator.

Panics if the physical type of descr is not parquet.Type.Boolean

func NewBooleanStatisticsFromEncoded 

func NewBooleanStatisticsFromEncoded(descr *schema.Column, mem memory.Allocator, nvalues int64, encoded StatProvider) *BooleanStatistics

NewBooleanStatisticsFromEncoded will construct a properly typed statistics object initializing it with the provided information.

func (*BooleanStatistics) Descr 

func (s *BooleanStatistics) Descr() *schema.Column

func (*BooleanStatistics) DistinctCount 

func (s *BooleanStatistics) DistinctCount() int64

func (*BooleanStatistics) Encode 

func (s *BooleanStatistics) Encode() (enc EncodedStatistics, err error)

Encode returns a populated EncodedStatistics object

func (*BooleanStatistics) EncodeMax 

func (s *BooleanStatistics) EncodeMax() []byte

EncodeMax returns the current encoded max value with plain encoding

ByteArray stats do not include the length in the encoding

func (*BooleanStatistics) EncodeMin 

func (s *BooleanStatistics) EncodeMin() []byte

EncodeMin returns the encoded min value with plain encoding.

ByteArray stats do not include the length in the encoding.

func (*BooleanStatistics) Equals 

func (s *BooleanStatistics) Equals(other TypedStatistics) bool

Equals returns true only if both objects are the same type, have the same min and max values, null count, distinct count and number of values.

func (*BooleanStatistics) HasDistinctCount 

func (s *BooleanStatistics) HasDistinctCount() bool

func (*BooleanStatistics) HasMinMax 

func (s *BooleanStatistics) HasMinMax() bool

func (*BooleanStatistics) HasNullCount 

func (s *BooleanStatistics) HasNullCount() bool

func (*BooleanStatistics) IncDistinct 

func (s *BooleanStatistics) IncDistinct(n int64)

func (*BooleanStatistics) IncNulls 

func (s *BooleanStatistics) IncNulls(n int64)

func (*BooleanStatistics) IncNumValues 

func (s *BooleanStatistics) IncNumValues(n int64)

func (*BooleanStatistics) Max 

func (s *BooleanStatistics) Max() bool

func (*BooleanStatistics) Merge 

func (s *BooleanStatistics) Merge(other TypedStatistics)

Merge merges the stats from other into this stat object, updating the null count, distinct count, number of values and the min/max if appropriate.

func (*BooleanStatistics) Min 

func (s *BooleanStatistics) Min() bool

func (*BooleanStatistics) MinMaxEqual 

func (s *BooleanStatistics) MinMaxEqual(rhs *BooleanStatistics) bool

MinMaxEqual returns true if both stat objects have the same Min and Max values

func (*BooleanStatistics) NullCount 

func (s *BooleanStatistics) NullCount() int64

func (*BooleanStatistics) NumValues 

func (s *BooleanStatistics) NumValues() int64

func (*BooleanStatistics) Reset 

func (s *BooleanStatistics) Reset()

func (*BooleanStatistics) SetMinMax 

func (s *BooleanStatistics) SetMinMax(argMin, argMax bool)

SetMinMax updates the min and max values only if they are not currently set or if argMin is less than the current min / argMax is greater than the current max

func (*BooleanStatistics) Type 

func (s *BooleanStatistics) Type() parquet.Type

func (*BooleanStatistics) Update 

func (s *BooleanStatistics) Update(values []bool, numNull int64)

Update is used to add more values to the current stat object, finding the min and max values etc.

func (*BooleanStatistics) UpdateFromArrow 

func (s *BooleanStatistics) UpdateFromArrow(values arrow.Array, updateCounts bool) error

func (*BooleanStatistics) UpdateSpaced 

func (s *BooleanStatistics) UpdateSpaced(values []bool, validBits []byte, validBitsOffset, numNull int64)

UpdateSpaced is just like Update, but for spaced values using validBits to determine and skip null values.

type ByteArrayStatistics 

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

ByteArrayStatistics is the typed interface for managing stats for a column of ByteArray type.

func NewByteArrayStatistics 

func NewByteArrayStatistics(descr *schema.Column, mem memory.Allocator) *ByteArrayStatistics

NewByteArrayStatistics constructs an appropriate stat object type using the given column descriptor and allocator.

Panics if the physical type of descr is not parquet.Type.ByteArray

func NewByteArrayStatisticsFromEncoded 

func NewByteArrayStatisticsFromEncoded(descr *schema.Column, mem memory.Allocator, nvalues int64, encoded StatProvider) *ByteArrayStatistics

NewByteArrayStatisticsFromEncoded will construct a properly typed statistics object initializing it with the provided information.

func (*ByteArrayStatistics) Descr 

func (s *ByteArrayStatistics) Descr() *schema.Column

func (*ByteArrayStatistics) DistinctCount 

func (s *ByteArrayStatistics) DistinctCount() int64

func (*ByteArrayStatistics) Encode 

func (s *ByteArrayStatistics) Encode() (enc EncodedStatistics, err error)

Encode returns a populated EncodedStatistics object

func (*ByteArrayStatistics) EncodeMax 

func (s *ByteArrayStatistics) EncodeMax() []byte

EncodeMax returns the current encoded max value with plain encoding

ByteArray stats do not include the length in the encoding

func (*ByteArrayStatistics) EncodeMin 

func (s *ByteArrayStatistics) EncodeMin() []byte

EncodeMin returns the encoded min value with plain encoding.

ByteArray stats do not include the length in the encoding.

func (*ByteArrayStatistics) Equals 

func (s *ByteArrayStatistics) Equals(other TypedStatistics) bool

Equals returns true only if both objects are the same type, have the same min and max values, null count, distinct count and number of values.

func (*ByteArrayStatistics) HasDistinctCount 

func (s *ByteArrayStatistics) HasDistinctCount() bool

func (*ByteArrayStatistics) HasMinMax 

func (s *ByteArrayStatistics) HasMinMax() bool

func (*ByteArrayStatistics) HasNullCount 

func (s *ByteArrayStatistics) HasNullCount() bool

func (*ByteArrayStatistics) IncDistinct 

func (s *ByteArrayStatistics) IncDistinct(n int64)

func (*ByteArrayStatistics) IncNulls 

func (s *ByteArrayStatistics) IncNulls(n int64)

func (*ByteArrayStatistics) IncNumValues 

func (s *ByteArrayStatistics) IncNumValues(n int64)

func (*ByteArrayStatistics) Max 

func (s *ByteArrayStatistics) Max() parquet.ByteArray

func (*ByteArrayStatistics) Merge 

func (s *ByteArrayStatistics) Merge(other TypedStatistics)

Merge merges the stats from other into this stat object, updating the null count, distinct count, number of values and the min/max if appropriate.

func (*ByteArrayStatistics) Min 

func (s *ByteArrayStatistics) Min() parquet.ByteArray

func (*ByteArrayStatistics) MinMaxEqual 

func (s *ByteArrayStatistics) MinMaxEqual(rhs *ByteArrayStatistics) bool

MinMaxEqual returns true if both stat objects have the same Min and Max values

func (*ByteArrayStatistics) NullCount 

func (s *ByteArrayStatistics) NullCount() int64

func (*ByteArrayStatistics) NumValues 

func (s *ByteArrayStatistics) NumValues() int64

func (*ByteArrayStatistics) Reset 

func (s *ByteArrayStatistics) Reset()

func (*ByteArrayStatistics) SetMinMax 

func (s *ByteArrayStatistics) SetMinMax(argMin, argMax parquet.ByteArray)

SetMinMax updates the min and max values only if they are not currently set or if argMin is less than the current min / argMax is greater than the current max

func (*ByteArrayStatistics) Type 

func (s *ByteArrayStatistics) Type() parquet.Type

func (*ByteArrayStatistics) Update 

func (s *ByteArrayStatistics) Update(values []parquet.ByteArray, numNull int64)

Update is used to add more values to the current stat object, finding the min and max values etc.

func (*ByteArrayStatistics) UpdateFromArrow 

func (s *ByteArrayStatistics) UpdateFromArrow(values arrow.Array, updateCounts bool) error

func (*ByteArrayStatistics) UpdateSpaced 

func (s *ByteArrayStatistics) UpdateSpaced(values []parquet.ByteArray, validBits []byte, validBitsOffset, numNull int64)

UpdateSpaced is just like Update, but for spaced values using validBits to determine and skip null values.

type ChunkMetaInfo 

type ChunkMetaInfo struct {
	NumValues        int64
	DictPageOffset   int64
	IndexPageOffset  int64
	DataPageOffset   int64
	CompressedSize   int64
	UncompressedSize int64
}

ChunkMetaInfo is a helper struct for passing the offset and size information for finishing the building of column chunk metadata

type ColumnChunkMetaData 

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

ColumnChunkMetaData is a proxy around format.ColumnChunkMetaData containing all of the information and metadata for a given column chunk and it's associated Column

func NewColumnChunkMetaData 

func NewColumnChunkMetaData(column *format.ColumnChunk, descr *schema.Column, writerVersion *AppVersion, rowGroupOrdinal, columnOrdinal int16, fileDecryptor encryption.FileDecryptor) (*ColumnChunkMetaData, error)

NewColumnChunkMetaData creates an instance of the metadata from a column chunk and descriptor

this is primarily used internally or between the subpackages. ColumnChunkMetaDataBuilder should be used by consumers instead of using this directly.

func (*ColumnChunkMetaData) BloomFilterOffset 

func (c *ColumnChunkMetaData) BloomFilterOffset() int64

BloomFilterOffset is the byte offset from the beginning of the file to the bloom filter data.

func (*ColumnChunkMetaData) Compression 

func (c *ColumnChunkMetaData) Compression() compress.Compression

Compression provides the type of compression used for this particular chunk.

func (*ColumnChunkMetaData) CryptoMetadata 

func (c *ColumnChunkMetaData) CryptoMetadata() *format.ColumnCryptoMetaData

CryptoMetadata returns the cryptographic metadata for how this column was encrypted and how to decrypt it.

func (*ColumnChunkMetaData) DataPageOffset 

func (c *ColumnChunkMetaData) DataPageOffset() int64

DataPageOffset returns the location in the file where the data pages begin for this column

func (*ColumnChunkMetaData) DictionaryPageOffset 

func (c *ColumnChunkMetaData) DictionaryPageOffset() int64

DictionaryPageOffset returns the location in the file where the dictionary page starts

func (*ColumnChunkMetaData) EncodingStats 

func (c *ColumnChunkMetaData) EncodingStats() []PageEncodingStats

EncodingStats connects the order of encodings based on the list of pages and types

func (*ColumnChunkMetaData) Encodings 

func (c *ColumnChunkMetaData) Encodings() []parquet.Encoding

Encodings returns the list of different encodings used in this chunk

func (*ColumnChunkMetaData) Equals 

func (c *ColumnChunkMetaData) Equals(other *ColumnChunkMetaData) bool

func (*ColumnChunkMetaData) FileOffset 

func (c *ColumnChunkMetaData) FileOffset() int64

FileOffset is the location in the file where the column data begins

func (*ColumnChunkMetaData) FilePath 

func (c *ColumnChunkMetaData) FilePath() string

FilePath gives the name of the parquet file if provided in the metadata

func (*ColumnChunkMetaData) HasDictionaryPage 

func (c *ColumnChunkMetaData) HasDictionaryPage() bool

HasDictionaryPage returns true if there is a dictionary page offset set in this metadata.

func (*ColumnChunkMetaData) HasIndexPage 

func (c *ColumnChunkMetaData) HasIndexPage() bool

HasIndexPage returns true if the offset for the index page is set in the metadata

func (*ColumnChunkMetaData) IndexPageOffset 

func (c *ColumnChunkMetaData) IndexPageOffset() int64

IndexPageOffset is the location in the file where the index page starts.

func (*ColumnChunkMetaData) NumValues 

func (c *ColumnChunkMetaData) NumValues() int64

NumValues is the number of values stored in just this chunk including nulls.

func (*ColumnChunkMetaData) PathInSchema 

func (c *ColumnChunkMetaData) PathInSchema() parquet.ColumnPath

PathInSchema is the full path to this column from the root of the schema including any nested columns

func (*ColumnChunkMetaData) Statistics 

func (c *ColumnChunkMetaData) Statistics() (TypedStatistics, error)

Statistics can return nil if there are no stats in this metadata

func (*ColumnChunkMetaData) StatsSet 

func (c *ColumnChunkMetaData) StatsSet() (bool, error)

StatsSet returns true only if there are statistics set in the metadata and the column descriptor has a sort order that is not SortUnknown

It also checks the writer version to ensure that it was not written by a version of parquet which is known to have incorrect stat computations.

func (*ColumnChunkMetaData) TotalCompressedSize 

func (c *ColumnChunkMetaData) TotalCompressedSize() int64

TotalCompressedSize will be equal to TotalUncompressedSize if the data is not compressed. Otherwise this will be the size of the actual data in the file.

func (*ColumnChunkMetaData) TotalUncompressedSize 

func (c *ColumnChunkMetaData) TotalUncompressedSize() int64

TotalUncompressedSize is the total size of the raw data after uncompressing the chunk

func (*ColumnChunkMetaData) Type 

func (c *ColumnChunkMetaData) Type() parquet.Type

Type is the physical storage type used in the parquet file for this column chunk.

type ColumnChunkMetaDataBuilder 

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

ColumnChunkMetaDataBuilder is used during writing to construct metadata for a given column chunk while writing, providing a proxy around constructing the actual thrift object.

func NewColumnChunkMetaDataBuilder 

func NewColumnChunkMetaDataBuilder(props *parquet.WriterProperties, column *schema.Column) *ColumnChunkMetaDataBuilder

func NewColumnChunkMetaDataBuilderWithContents 

func NewColumnChunkMetaDataBuilderWithContents(props *parquet.WriterProperties, column *schema.Column, chunk *format.ColumnChunk) *ColumnChunkMetaDataBuilder

NewColumnChunkMetaDataBuilderWithContents will construct a builder and start it with the provided column chunk information rather than with an empty column chunk.

func (*ColumnChunkMetaDataBuilder) Contents 

func (c *ColumnChunkMetaDataBuilder) Contents() *format.ColumnChunk

Contents returns the underlying thrift ColumnChunk object so that it can be used for constructing or duplicating column metadata

func (*ColumnChunkMetaDataBuilder) Descr 

func (c *ColumnChunkMetaDataBuilder) Descr() *schema.Column

Descr returns the associated column descriptor for this column chunk

func (*ColumnChunkMetaDataBuilder) Finish 

func (c *ColumnChunkMetaDataBuilder) Finish(info ChunkMetaInfo, hasDict, dictFallback bool, encStats EncodingStats, metaEncryptor encryption.Encryptor) error

Finish finalizes the metadata with the given offsets, flushes any compression that needs to be done, and performs any encryption if an encryptor is provided.

func (*ColumnChunkMetaDataBuilder) SetFilePath 

func (c *ColumnChunkMetaDataBuilder) SetFilePath(val string)

func (*ColumnChunkMetaDataBuilder) SetStats 

func (c *ColumnChunkMetaDataBuilder) SetStats(val EncodedStatistics)

func (*ColumnChunkMetaDataBuilder) TotalCompressedSize 

func (c *ColumnChunkMetaDataBuilder) TotalCompressedSize() int64

func (*ColumnChunkMetaDataBuilder) WriteTo 

func (c *ColumnChunkMetaDataBuilder) WriteTo(w io.Writer) (int64, error)

WriteTo will always return 0 as the int64 since the thrift writer library does not return the number of bytes written, we only use the signature of (int64, error) in order to match the standard WriteTo interfaces.

type EncodedStatistics 

type EncodedStatistics struct {
	HasMax           bool
	Max              []byte
	HasMin           bool
	Min              []byte
	Signed           bool
	HasNullCount     bool
	NullCount        int64
	HasDistinctCount bool
	DistinctCount    int64
}

EncodedStatistics are raw statistics with encoded values that will be written to the parquet file, or was read from the parquet file.

func (*EncodedStatistics) ApplyStatSizeLimits 

func (e *EncodedStatistics) ApplyStatSizeLimits(length int)

ApplyStatSizeLimits sets the maximum size of the min/max values.

from parquet-mr we don't write stats larger than the max size rather than truncating. the rationale is that some engines may use the minimum value in the page as the true minimum for aggregations and there is no way to mark that a value has been truncated and is a lower bound and not in the page

func (*EncodedStatistics) IsSet 

func (e *EncodedStatistics) IsSet() bool

IsSet returns true iff one of the Has* values is true.

func (*EncodedStatistics) SetDistinctCount 

func (e *EncodedStatistics) SetDistinctCount(val int64) *EncodedStatistics

SetDistinctCount sets the DistinctCount to val and sets HasDistinctCount to true

func (*EncodedStatistics) SetMax 

func (e *EncodedStatistics) SetMax(val []byte) *EncodedStatistics

SetMax sets the encoded Max value to val and sets HasMax to true

func (*EncodedStatistics) SetMin 

func (e *EncodedStatistics) SetMin(val []byte) *EncodedStatistics

SetMin sets the encoded Min value to val, and sets HasMin to true

func (*EncodedStatistics) SetNullCount 

func (e *EncodedStatistics) SetNullCount(val int64) *EncodedStatistics

SetNullCount sets the NullCount to val and sets HasNullCount to true

func (*EncodedStatistics) ToThrift 

func (e *EncodedStatistics) ToThrift() (stats *format.Statistics)

type EncodingStats 

type EncodingStats struct {
	DictEncodingStats map[parquet.Encoding]int32
	DataEncodingStats map[parquet.Encoding]int32
}

EncodingStats is a helper struct for passing the encoding stat information for finishing up metadata for a column chunk.

type FileCryptoMetadata 

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

FileCryptoMetadata is a proxy for the thrift fileCryptoMetadata object

func NewFileCryptoMetaData 

func NewFileCryptoMetaData(metadata []byte) (ret FileCryptoMetadata, err error)

NewFileCryptoMetaData takes in the raw serialized bytes to deserialize storing the number of bytes that were actually deserialized.

func (FileCryptoMetadata) EncryptionAlgorithm 

func (fc FileCryptoMetadata) EncryptionAlgorithm() parquet.Algorithm

EncryptionAlgorithm constructs the object from the thrift instance of the encryption algorithm

func (FileCryptoMetadata) KeyMetadata 

func (fc FileCryptoMetadata) KeyMetadata() []byte

func (FileCryptoMetadata) Len 

func (fc FileCryptoMetadata) Len() int

Len is the number of bytes that were deserialized to create this object

func (FileCryptoMetadata) WriteTo 

func (fc FileCryptoMetadata) WriteTo(w io.Writer) (int64, error)

WriteTo writes out the serialized crypto metadata to w

type FileMetaData 

type FileMetaData struct {
	*format.FileMetaData
	Schema        *schema.Schema
	FileDecryptor encryption.FileDecryptor
	// contains filtered or unexported fields
}

FileMetaData is a proxy around the underlying thrift FileMetaData object to make it easier to use and interact with.

func NewFileMetaData 

func NewFileMetaData(data []byte, fileDecryptor encryption.FileDecryptor) (*FileMetaData, error)

NewFileMetaData takes in the raw bytes of the serialized metadata to deserialize and will attempt to decrypt the footer if a decryptor is provided.

func (*FileMetaData) AppendRowGroups 

func (f *FileMetaData) AppendRowGroups(other *FileMetaData) error

AppendRowGroups will add all of the rowgroup metadata from other to the current file metadata

func (*FileMetaData) EncryptionAlgorithm 

func (f *FileMetaData) EncryptionAlgorithm() parquet.Algorithm

EncryptionAlgorithm constructs the algorithm object from the thrift information or returns an empty instance if it was not set.

func (*FileMetaData) Equals 

func (f *FileMetaData) Equals(other *FileMetaData) bool

func (*FileMetaData) KeyValueMetadata 

func (f *FileMetaData) KeyValueMetadata() KeyValueMetadata

func (*FileMetaData) NumSchemaElements 

func (f *FileMetaData) NumSchemaElements() int

NumSchemaElements is the length of the flattened schema list in the thrift

func (*FileMetaData) RowGroup 

func (f *FileMetaData) RowGroup(i int) *RowGroupMetaData

RowGroup provides the metadata for the (0-based) index of the row group

func (*FileMetaData) Serialize 

func (f *FileMetaData) Serialize(ctx context.Context) ([]byte, error)

func (*FileMetaData) SerializeString 

func (f *FileMetaData) SerializeString(ctx context.Context) (string, error)

func (*FileMetaData) SetFilePath 

func (f *FileMetaData) SetFilePath(path string)

SetFilePath will set the file path into all of the columns in each row group.

func (*FileMetaData) Size 

func (f *FileMetaData) Size() int

Size is the length of the raw serialized metadata bytes in the footer

func (*FileMetaData) Subset 

func (f *FileMetaData) Subset(rowGroups []int) (*FileMetaData, error)

Subset will construct a new FileMetaData object containing only the requested row groups by index

func (*FileMetaData) VerifySignature 

func (f *FileMetaData) VerifySignature(signature []byte) bool

VerifySignature constructs a cryptographic signature using the FileDecryptor of the footer and then verifies it's integrity.

Panics if f.FileDecryptor is nil

func (*FileMetaData) Version 

func (f *FileMetaData) Version() parquet.Version

Version returns the "version" of the file

WARNING: The value returned by this method is unreliable as 1) the parquet file metadata stores the version as a single integer and 2) some producers are known to always write a hardcoded value. Therefore you cannot use this value to know which features are used in the file.

func (*FileMetaData) WriteTo 

func (f *FileMetaData) WriteTo(w io.Writer, encryptor encryption.Encryptor) (int64, error)

WriteTo will serialize and write out this file metadata, encrypting it if appropriate.

If it is an encrypted file with a plaintext footer, then we will write the signature with the unencrypted footer.

func (*FileMetaData) WriterVersion 

func (f *FileMetaData) WriterVersion() *AppVersion

WriterVersion returns the constructed application version from the created by string

type FileMetaDataBuilder 

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

FileMetaDataBuilder is a proxy for more easily constructing file metadata particularly used when writing a file out.

func NewFileMetadataBuilder 

func NewFileMetadataBuilder(schema *schema.Schema, props *parquet.WriterProperties, kvmeta KeyValueMetadata) *FileMetaDataBuilder

NewFileMetadataBuilder will use the default writer properties if nil is passed for the writer properties and nil is allowable for the key value metadata.

func (*FileMetaDataBuilder) AppendKeyValueMetadata 

func (f *FileMetaDataBuilder) AppendKeyValueMetadata(key string, value string) error

AppendKeyValueMetadata appends a key/value pair to the existing key/value metadata

func (*FileMetaDataBuilder) AppendRowGroup 

func (f *FileMetaDataBuilder) AppendRowGroup() *RowGroupMetaDataBuilder

AppendRowGroup adds a rowgroup to the list and returns a builder for that row group

func (*FileMetaDataBuilder) Finish 

func (f *FileMetaDataBuilder) Finish() (*FileMetaData, error)

Finish will finalize the metadata of the number of rows, row groups, version etc. This will clear out this filemetadatabuilder so it can be re-used

func (*FileMetaDataBuilder) GetFileCryptoMetaData 

func (f *FileMetaDataBuilder) GetFileCryptoMetaData() *FileCryptoMetadata

GetFileCryptoMetaData returns the cryptographic information for encrypting/ decrypting the file.

type FixedLenByteArrayStatistics 

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

FixedLenByteArrayStatistics is the typed interface for managing stats for a column of FixedLenByteArray type.

func NewFixedLenByteArrayStatistics 

func NewFixedLenByteArrayStatistics(descr *schema.Column, mem memory.Allocator) *FixedLenByteArrayStatistics

NewFixedLenByteArrayStatistics constructs an appropriate stat object type using the given column descriptor and allocator.

Panics if the physical type of descr is not parquet.Type.FixedLenByteArray

func NewFixedLenByteArrayStatisticsFromEncoded 

func NewFixedLenByteArrayStatisticsFromEncoded(descr *schema.Column, mem memory.Allocator, nvalues int64, encoded StatProvider) *FixedLenByteArrayStatistics

NewFixedLenByteArrayStatisticsFromEncoded will construct a properly typed statistics object initializing it with the provided information.

func (*FixedLenByteArrayStatistics) Descr 

func (s *FixedLenByteArrayStatistics) Descr() *schema.Column

func (*FixedLenByteArrayStatistics) DistinctCount 

func (s *FixedLenByteArrayStatistics) DistinctCount() int64

func (*FixedLenByteArrayStatistics) Encode 

func (s *FixedLenByteArrayStatistics) Encode() (enc EncodedStatistics, err error)

Encode returns a populated EncodedStatistics object

func (*FixedLenByteArrayStatistics) EncodeMax 

func (s *FixedLenByteArrayStatistics) EncodeMax() []byte

EncodeMax returns the current encoded max value with plain encoding

ByteArray stats do not include the length in the encoding

func (*FixedLenByteArrayStatistics) EncodeMin 

func (s *FixedLenByteArrayStatistics) EncodeMin() []byte

EncodeMin returns the encoded min value with plain encoding.

ByteArray stats do not include the length in the encoding.

func (*FixedLenByteArrayStatistics) Equals 

func (s *FixedLenByteArrayStatistics) Equals(other TypedStatistics) bool

Equals returns true only if both objects are the same type, have the same min and max values, null count, distinct count and number of values.

func (*FixedLenByteArrayStatistics) HasDistinctCount 

func (s *FixedLenByteArrayStatistics) HasDistinctCount() bool

func (*FixedLenByteArrayStatistics) HasMinMax 

func (s *FixedLenByteArrayStatistics) HasMinMax() bool

func (*FixedLenByteArrayStatistics) HasNullCount 

func (s *FixedLenByteArrayStatistics) HasNullCount() bool

func (*FixedLenByteArrayStatistics) IncDistinct 

func (s *FixedLenByteArrayStatistics) IncDistinct(n int64)

func (*FixedLenByteArrayStatistics) IncNulls 

func (s *FixedLenByteArrayStatistics) IncNulls(n int64)

func (*FixedLenByteArrayStatistics) IncNumValues 

func (s *FixedLenByteArrayStatistics) IncNumValues(n int64)

func (*FixedLenByteArrayStatistics) Max 

func (s *FixedLenByteArrayStatistics) Max() parquet.FixedLenByteArray

func (*FixedLenByteArrayStatistics) Merge 

func (s *FixedLenByteArrayStatistics) Merge(other TypedStatistics)

Merge merges the stats from other into this stat object, updating the null count, distinct count, number of values and the min/max if appropriate.

func (*FixedLenByteArrayStatistics) Min 

func (s *FixedLenByteArrayStatistics) Min() parquet.FixedLenByteArray

func (*FixedLenByteArrayStatistics) MinMaxEqual 

func (s *FixedLenByteArrayStatistics) MinMaxEqual(rhs *FixedLenByteArrayStatistics) bool

MinMaxEqual returns true if both stat objects have the same Min and Max values

func (*FixedLenByteArrayStatistics) NullCount 

func (s *FixedLenByteArrayStatistics) NullCount() int64

func (*FixedLenByteArrayStatistics) NumValues 

func (s *FixedLenByteArrayStatistics) NumValues() int64

func (*FixedLenByteArrayStatistics) Reset 

func (s *FixedLenByteArrayStatistics) Reset()

func (*FixedLenByteArrayStatistics) SetMinMax 

func (s *FixedLenByteArrayStatistics) SetMinMax(argMin, argMax parquet.FixedLenByteArray)

SetMinMax updates the min and max values only if they are not currently set or if argMin is less than the current min / argMax is greater than the current max

func (*FixedLenByteArrayStatistics) Type 

func (s *FixedLenByteArrayStatistics) Type() parquet.Type

func (*FixedLenByteArrayStatistics) Update 

func (s *FixedLenByteArrayStatistics) Update(values []parquet.FixedLenByteArray, numNull int64)

Update is used to add more values to the current stat object, finding the min and max values etc.

func (*FixedLenByteArrayStatistics) UpdateFromArrow 

func (s *FixedLenByteArrayStatistics) UpdateFromArrow(values arrow.Array, updateCounts bool) error

func (*FixedLenByteArrayStatistics) UpdateSpaced 

func (s *FixedLenByteArrayStatistics) UpdateSpaced(values []parquet.FixedLenByteArray, validBits []byte, validBitsOffset, numNull int64)

UpdateSpaced is just like Update, but for spaced values using validBits to determine and skip null values.

type Float16Statistics 

type Float16Statistics struct {
	// contains filtered or unexported fields
}

Float16Statistics is the typed interface for managing stats for a column of Float16 type.

func NewFloat16Statistics 

func NewFloat16Statistics(descr *schema.Column, mem memory.Allocator) *Float16Statistics

NewFloat16Statistics constructs an appropriate stat object type using the given column descriptor and allocator.

Panics if the physical type of descr is not parquet.Type.FixedLenByteArray Panics if the logical type of descr is not schema.Float16LogicalType

func NewFloat16StatisticsFromEncoded 

func NewFloat16StatisticsFromEncoded(descr *schema.Column, mem memory.Allocator, nvalues int64, encoded StatProvider) *Float16Statistics

NewFloat16StatisticsFromEncoded will construct a properly typed statistics object initializing it with the provided information.

func (*Float16Statistics) Descr 

func (s *Float16Statistics) Descr() *schema.Column

func (*Float16Statistics) DistinctCount 

func (s *Float16Statistics) DistinctCount() int64

func (*Float16Statistics) Encode 

func (s *Float16Statistics) Encode() (enc EncodedStatistics, err error)

Encode returns a populated EncodedStatistics object

func (*Float16Statistics) EncodeMax 

func (s *Float16Statistics) EncodeMax() []byte

EncodeMax returns the current encoded max value with plain encoding

ByteArray stats do not include the length in the encoding

func (*Float16Statistics) EncodeMin 

func (s *Float16Statistics) EncodeMin() []byte

EncodeMin returns the encoded min value with plain encoding.

ByteArray stats do not include the length in the encoding.

func (*Float16Statistics) Equals 

func (s *Float16Statistics) Equals(other TypedStatistics) bool

Equals returns true only if both objects are the same type, have the same min and max values, null count, distinct count and number of values.

func (*Float16Statistics) HasDistinctCount 

func (s *Float16Statistics) HasDistinctCount() bool

func (*Float16Statistics) HasMinMax 

func (s *Float16Statistics) HasMinMax() bool

func (*Float16Statistics) HasNullCount 

func (s *Float16Statistics) HasNullCount() bool

func (*Float16Statistics) IncDistinct 

func (s *Float16Statistics) IncDistinct(n int64)

func (*Float16Statistics) IncNulls 

func (s *Float16Statistics) IncNulls(n int64)

func (*Float16Statistics) IncNumValues 

func (s *Float16Statistics) IncNumValues(n int64)

func (*Float16Statistics) Max 

func (s *Float16Statistics) Max() parquet.FixedLenByteArray

func (*Float16Statistics) Merge 

func (s *Float16Statistics) Merge(other TypedStatistics)

Merge merges the stats from other into this stat object, updating the null count, distinct count, number of values and the min/max if appropriate.

func (*Float16Statistics) Min 

func (s *Float16Statistics) Min() parquet.FixedLenByteArray

func (*Float16Statistics) MinMaxEqual 

func (s *Float16Statistics) MinMaxEqual(rhs *Float16Statistics) bool

MinMaxEqual returns true if both stat objects have the same Min and Max values

func (*Float16Statistics) NullCount 

func (s *Float16Statistics) NullCount() int64

func (*Float16Statistics) NumValues 

func (s *Float16Statistics) NumValues() int64

func (*Float16Statistics) Reset 

func (s *Float16Statistics) Reset()

func (*Float16Statistics) SetMinMax 

func (s *Float16Statistics) SetMinMax(argMin, argMax parquet.FixedLenByteArray)

SetMinMax updates the min and max values only if they are not currently set or if argMin is less than the current min / argMax is greater than the current max

func (*Float16Statistics) Type 

func (s *Float16Statistics) Type() parquet.Type

func (*Float16Statistics) Update 

func (s *Float16Statistics) Update(values []parquet.FixedLenByteArray, numNull int64)

Update is used to add more values to the current stat object, finding the min and max values etc.

func (*Float16Statistics) UpdateFromArrow 

func (s *Float16Statistics) UpdateFromArrow(values arrow.Array, updateCounts bool) error

func (*Float16Statistics) UpdateSpaced 

func (s *Float16Statistics) UpdateSpaced(values []parquet.FixedLenByteArray, validBits []byte, validBitsOffset, numNull int64)

UpdateSpaced is just like Update, but for spaced values using validBits to determine and skip null values.

type Float32Statistics 

type Float32Statistics struct {
	// contains filtered or unexported fields
}

Float32Statistics is the typed interface for managing stats for a column of Float32 type.

func NewFloat32Statistics 

func NewFloat32Statistics(descr *schema.Column, mem memory.Allocator) *Float32Statistics

NewFloat32Statistics constructs an appropriate stat object type using the given column descriptor and allocator.

Panics if the physical type of descr is not parquet.Type.Float

func NewFloat32StatisticsFromEncoded 

func NewFloat32StatisticsFromEncoded(descr *schema.Column, mem memory.Allocator, nvalues int64, encoded StatProvider) *Float32Statistics

NewFloat32StatisticsFromEncoded will construct a properly typed statistics object initializing it with the provided information.

func (*Float32Statistics) Descr 

func (s *Float32Statistics) Descr() *schema.Column

func (*Float32Statistics) DistinctCount 

func (s *Float32Statistics) DistinctCount() int64

func (*Float32Statistics) Encode 

func (s *Float32Statistics) Encode() (enc EncodedStatistics, err error)

Encode returns a populated EncodedStatistics object

func (*Float32Statistics) EncodeMax 

func (s *Float32Statistics) EncodeMax() []byte

EncodeMax returns the current encoded max value with plain encoding

ByteArray stats do not include the length in the encoding

func (*Float32Statistics) EncodeMin 

func (s *Float32Statistics) EncodeMin() []byte

EncodeMin returns the encoded min value with plain encoding.

ByteArray stats do not include the length in the encoding.

func (*Float32Statistics) Equals 

func (s *Float32Statistics) Equals(other TypedStatistics) bool

Equals returns true only if both objects are the same type, have the same min and max values, null count, distinct count and number of values.

func (*Float32Statistics) HasDistinctCount 

func (s *Float32Statistics) HasDistinctCount() bool

func (*Float32Statistics) HasMinMax 

func (s *Float32Statistics) HasMinMax() bool

func (*Float32Statistics) HasNullCount 

func (s *Float32Statistics) HasNullCount() bool

func (*Float32Statistics) IncDistinct 

func (s *Float32Statistics) IncDistinct(n int64)

func (*Float32Statistics) IncNulls 

func (s *Float32Statistics) IncNulls(n int64)

func (*Float32Statistics) IncNumValues 

func (s *Float32Statistics) IncNumValues(n int64)

func (*Float32Statistics) Max 

func (s *Float32Statistics) Max() float32

func (*Float32Statistics) Merge 

func (s *Float32Statistics) Merge(other TypedStatistics)

Merge merges the stats from other into this stat object, updating the null count, distinct count, number of values and the min/max if appropriate.

func (*Float32Statistics) Min 

func (s *Float32Statistics) Min() float32

func (*Float32Statistics) MinMaxEqual 

func (s *Float32Statistics) MinMaxEqual(rhs *Float32Statistics) bool

MinMaxEqual returns true if both stat objects have the same Min and Max values

func (*Float32Statistics) NullCount 

func (s *Float32Statistics) NullCount() int64

func (*Float32Statistics) NumValues 

func (s *Float32Statistics) NumValues() int64

func (*Float32Statistics) Reset 

func (s *Float32Statistics) Reset()

func (*Float32Statistics) SetMinMax 

func (s *Float32Statistics) SetMinMax(argMin, argMax float32)

SetMinMax updates the min and max values only if they are not currently set or if argMin is less than the current min / argMax is greater than the current max

func (*Float32Statistics) Type 

func (s *Float32Statistics) Type() parquet.Type

func (*Float32Statistics) Update 

func (s *Float32Statistics) Update(values []float32, numNull int64)

Update is used to add more values to the current stat object, finding the min and max values etc.

func (*Float32Statistics) UpdateFromArrow 

func (s *Float32Statistics) UpdateFromArrow(values arrow.Array, updateCounts bool) error

func (*Float32Statistics) UpdateSpaced 

func (s *Float32Statistics) UpdateSpaced(values []float32, validBits []byte, validBitsOffset, numNull int64)

UpdateSpaced is just like Update, but for spaced values using validBits to determine and skip null values.

type Float64Statistics 

type Float64Statistics struct {
	// contains filtered or unexported fields
}

Float64Statistics is the typed interface for managing stats for a column of Float64 type.

func NewFloat64Statistics 

func NewFloat64Statistics(descr *schema.Column, mem memory.Allocator) *Float64Statistics

NewFloat64Statistics constructs an appropriate stat object type using the given column descriptor and allocator.

Panics if the physical type of descr is not parquet.Type.Double

func NewFloat64StatisticsFromEncoded 

func NewFloat64StatisticsFromEncoded(descr *schema.Column, mem memory.Allocator, nvalues int64, encoded StatProvider) *Float64Statistics

NewFloat64StatisticsFromEncoded will construct a properly typed statistics object initializing it with the provided information.

func (*Float64Statistics) Descr 

func (s *Float64Statistics) Descr() *schema.Column

func (*Float64Statistics) DistinctCount 

func (s *Float64Statistics) DistinctCount() int64

func (*Float64Statistics) Encode 

func (s *Float64Statistics) Encode() (enc EncodedStatistics, err error)

Encode returns a populated EncodedStatistics object

func (*Float64Statistics) EncodeMax 

func (s *Float64Statistics) EncodeMax() []byte

EncodeMax returns the current encoded max value with plain encoding

ByteArray stats do not include the length in the encoding

func (*Float64Statistics) EncodeMin 

func (s *Float64Statistics) EncodeMin() []byte

EncodeMin returns the encoded min value with plain encoding.

ByteArray stats do not include the length in the encoding.

func (*Float64Statistics) Equals 

func (s *Float64Statistics) Equals(other TypedStatistics) bool

Equals returns true only if both objects are the same type, have the same min and max values, null count, distinct count and number of values.

func (*Float64Statistics) HasDistinctCount 

func (s *Float64Statistics) HasDistinctCount() bool

func (*Float64Statistics) HasMinMax 

func (s *Float64Statistics) HasMinMax() bool

func (*Float64Statistics) HasNullCount 

func (s *Float64Statistics) HasNullCount() bool

func (*Float64Statistics) IncDistinct 

func (s *Float64Statistics) IncDistinct(n int64)

func (*Float64Statistics) IncNulls 

func (s *Float64Statistics) IncNulls(n int64)

func (*Float64Statistics) IncNumValues 

func (s *Float64Statistics) IncNumValues(n int64)

func (*Float64Statistics) Max 

func (s *Float64Statistics) Max() float64

func (*Float64Statistics) Merge 

func (s *Float64Statistics) Merge(other TypedStatistics)

Merge merges the stats from other into this stat object, updating the null count, distinct count, number of values and the min/max if appropriate.

func (*Float64Statistics) Min 

func (s *Float64Statistics) Min() float64

func (*Float64Statistics) MinMaxEqual 

func (s *Float64Statistics) MinMaxEqual(rhs *Float64Statistics) bool

MinMaxEqual returns true if both stat objects have the same Min and Max values

func (*Float64Statistics) NullCount 

func (s *Float64Statistics) NullCount() int64

func (*Float64Statistics) NumValues 

func (s *Float64Statistics) NumValues() int64

func (*Float64Statistics) Reset 

func (s *Float64Statistics) Reset()

func (*Float64Statistics) SetMinMax 

func (s *Float64Statistics) SetMinMax(argMin, argMax float64)

SetMinMax updates the min and max values only if they are not currently set or if argMin is less than the current min / argMax is greater than the current max

func (*Float64Statistics) Type 

func (s *Float64Statistics) Type() parquet.Type

func (*Float64Statistics) Update 

func (s *Float64Statistics) Update(values []float64, numNull int64)

Update is used to add more values to the current stat object, finding the min and max values etc.

func (*Float64Statistics) UpdateFromArrow 

func (s *Float64Statistics) UpdateFromArrow(values arrow.Array, updateCounts bool) error

func (*Float64Statistics) UpdateSpaced 

func (s *Float64Statistics) UpdateSpaced(values []float64, validBits []byte, validBitsOffset, numNull int64)

UpdateSpaced is just like Update, but for spaced values using validBits to determine and skip null values.

type Int32Statistics 

type Int32Statistics struct {
	// contains filtered or unexported fields
}

Int32Statistics is the typed interface for managing stats for a column of Int32 type.

func NewInt32Statistics 

func NewInt32Statistics(descr *schema.Column, mem memory.Allocator) *Int32Statistics

NewInt32Statistics constructs an appropriate stat object type using the given column descriptor and allocator.

Panics if the physical type of descr is not parquet.Type.Int32

func NewInt32StatisticsFromEncoded 

func NewInt32StatisticsFromEncoded(descr *schema.Column, mem memory.Allocator, nvalues int64, encoded StatProvider) *Int32Statistics

NewInt32StatisticsFromEncoded will construct a properly typed statistics object initializing it with the provided information.

func (*Int32Statistics) Descr 

func (s *Int32Statistics) Descr() *schema.Column

func (*Int32Statistics) DistinctCount 

func (s *Int32Statistics) DistinctCount() int64

func (*Int32Statistics) Encode 

func (s *Int32Statistics) Encode() (enc EncodedStatistics, err error)

Encode returns a populated EncodedStatistics object

func (*Int32Statistics) EncodeMax 

func (s *Int32Statistics) EncodeMax() []byte

EncodeMax returns the current encoded max value with plain encoding

ByteArray stats do not include the length in the encoding

func (*Int32Statistics) EncodeMin 

func (s *Int32Statistics) EncodeMin() []byte

EncodeMin returns the encoded min value with plain encoding.

ByteArray stats do not include the length in the encoding.

func (*Int32Statistics) Equals 

func (s *Int32Statistics) Equals(other TypedStatistics) bool

Equals returns true only if both objects are the same type, have the same min and max values, null count, distinct count and number of values.

func (*Int32Statistics) HasDistinctCount 

func (s *Int32Statistics) HasDistinctCount() bool

func (*Int32Statistics) HasMinMax 

func (s *Int32Statistics) HasMinMax() bool

func (*Int32Statistics) HasNullCount 

func (s *Int32Statistics) HasNullCount() bool

func (*Int32Statistics) IncDistinct 

func (s *Int32Statistics) IncDistinct(n int64)

func (*Int32Statistics) IncNulls 

func (s *Int32Statistics) IncNulls(n int64)

func (*Int32Statistics) IncNumValues 

func (s *Int32Statistics) IncNumValues(n int64)

func (*Int32Statistics) Max 

func (s *Int32Statistics) Max() int32

func (*Int32Statistics) Merge 

func (s *Int32Statistics) Merge(other TypedStatistics)

Merge merges the stats from other into this stat object, updating the null count, distinct count, number of values and the min/max if appropriate.

func (*Int32Statistics) Min 

func (s *Int32Statistics) Min() int32

func (*Int32Statistics) MinMaxEqual 

func (s *Int32Statistics) MinMaxEqual(rhs *Int32Statistics) bool

MinMaxEqual returns true if both stat objects have the same Min and Max values

func (*Int32Statistics) NullCount 

func (s *Int32Statistics) NullCount() int64

func (*Int32Statistics) NumValues 

func (s *Int32Statistics) NumValues() int64

func (*Int32Statistics) Reset 

func (s *Int32Statistics) Reset()

func (*Int32Statistics) SetMinMax 

func (s *Int32Statistics) SetMinMax(argMin, argMax int32)

SetMinMax updates the min and max values only if they are not currently set or if argMin is less than the current min / argMax is greater than the current max

func (*Int32Statistics) Type 

func (s *Int32Statistics) Type() parquet.Type

func (*Int32Statistics) Update 

func (s *Int32Statistics) Update(values []int32, numNull int64)

Update is used to add more values to the current stat object, finding the min and max values etc.

func (*Int32Statistics) UpdateFromArrow 

func (s *Int32Statistics) UpdateFromArrow(values arrow.Array, updateCounts bool) error

func (*Int32Statistics) UpdateSpaced 

func (s *Int32Statistics) UpdateSpaced(values []int32, validBits []byte, validBitsOffset, numNull int64)

UpdateSpaced is just like Update, but for spaced values using validBits to determine and skip null values.

type Int64Statistics 

type Int64Statistics struct {
	// contains filtered or unexported fields
}

Int64Statistics is the typed interface for managing stats for a column of Int64 type.

func NewInt64Statistics 

func NewInt64Statistics(descr *schema.Column, mem memory.Allocator) *Int64Statistics

NewInt64Statistics constructs an appropriate stat object type using the given column descriptor and allocator.

Panics if the physical type of descr is not parquet.Type.Int64

func NewInt64StatisticsFromEncoded 

func NewInt64StatisticsFromEncoded(descr *schema.Column, mem memory.Allocator, nvalues int64, encoded StatProvider) *Int64Statistics

NewInt64StatisticsFromEncoded will construct a properly typed statistics object initializing it with the provided information.

func (*Int64Statistics) Descr 

func (s *Int64Statistics) Descr() *schema.Column

func (*Int64Statistics) DistinctCount 

func (s *Int64Statistics) DistinctCount() int64

func (*Int64Statistics) Encode 

func (s *Int64Statistics) Encode() (enc EncodedStatistics, err error)

Encode returns a populated EncodedStatistics object

func (*Int64Statistics) EncodeMax 

func (s *Int64Statistics) EncodeMax() []byte

EncodeMax returns the current encoded max value with plain encoding

ByteArray stats do not include the length in the encoding

func (*Int64Statistics) EncodeMin 

func (s *Int64Statistics) EncodeMin() []byte

EncodeMin returns the encoded min value with plain encoding.

ByteArray stats do not include the length in the encoding.

func (*Int64Statistics) Equals 

func (s *Int64Statistics) Equals(other TypedStatistics) bool

Equals returns true only if both objects are the same type, have the same min and max values, null count, distinct count and number of values.

func (*Int64Statistics) HasDistinctCount 

func (s *Int64Statistics) HasDistinctCount() bool

func (*Int64Statistics) HasMinMax 

func (s *Int64Statistics) HasMinMax() bool

func (*Int64Statistics) HasNullCount 

func (s *Int64Statistics) HasNullCount() bool

func (*Int64Statistics) IncDistinct 

func (s *Int64Statistics) IncDistinct(n int64)

func (*Int64Statistics) IncNulls 

func (s *Int64Statistics) IncNulls(n int64)

func (*Int64Statistics) IncNumValues 

func (s *Int64Statistics) IncNumValues(n int64)

func (*Int64Statistics) Max 

func (s *Int64Statistics) Max() int64

func (*Int64Statistics) Merge 

func (s *Int64Statistics) Merge(other TypedStatistics)

Merge merges the stats from other into this stat object, updating the null count, distinct count, number of values and the min/max if appropriate.

func (*Int64Statistics) Min 

func (s *Int64Statistics) Min() int64

func (*Int64Statistics) MinMaxEqual 

func (s *Int64Statistics) MinMaxEqual(rhs *Int64Statistics) bool

MinMaxEqual returns true if both stat objects have the same Min and Max values

func (*Int64Statistics) NullCount 

func (s *Int64Statistics) NullCount() int64

func (*Int64Statistics) NumValues 

func (s *Int64Statistics) NumValues() int64

func (*Int64Statistics) Reset 

func (s *Int64Statistics) Reset()

func (*Int64Statistics) SetMinMax 

func (s *Int64Statistics) SetMinMax(argMin, argMax int64)

SetMinMax updates the min and max values only if they are not currently set or if argMin is less than the current min / argMax is greater than the current max

func (*Int64Statistics) Type 

func (s *Int64Statistics) Type() parquet.Type

func (*Int64Statistics) Update 

func (s *Int64Statistics) Update(values []int64, numNull int64)

Update is used to add more values to the current stat object, finding the min and max values etc.

func (*Int64Statistics) UpdateFromArrow 

func (s *Int64Statistics) UpdateFromArrow(values arrow.Array, updateCounts bool) error

func (*Int64Statistics) UpdateSpaced 

func (s *Int64Statistics) UpdateSpaced(values []int64, validBits []byte, validBitsOffset, numNull int64)

UpdateSpaced is just like Update, but for spaced values using validBits to determine and skip null values.

type Int96Statistics 

type Int96Statistics struct {
	// contains filtered or unexported fields
}

Int96Statistics is the typed interface for managing stats for a column of Int96 type.

func NewInt96Statistics 

func NewInt96Statistics(descr *schema.Column, mem memory.Allocator) *Int96Statistics

NewInt96Statistics constructs an appropriate stat object type using the given column descriptor and allocator.

Panics if the physical type of descr is not parquet.Type.Int96

func NewInt96StatisticsFromEncoded 

func NewInt96StatisticsFromEncoded(descr *schema.Column, mem memory.Allocator, nvalues int64, encoded StatProvider) *Int96Statistics

NewInt96StatisticsFromEncoded will construct a properly typed statistics object initializing it with the provided information.

func (*Int96Statistics) Descr 

func (s *Int96Statistics) Descr() *schema.Column

func (*Int96Statistics) DistinctCount 

func (s *Int96Statistics) DistinctCount() int64

func (*Int96Statistics) Encode 

func (s *Int96Statistics) Encode() (enc EncodedStatistics, err error)

Encode returns a populated EncodedStatistics object

func (*Int96Statistics) EncodeMax 

func (s *Int96Statistics) EncodeMax() []byte

EncodeMax returns the current encoded max value with plain encoding

ByteArray stats do not include the length in the encoding

func (*Int96Statistics) EncodeMin 

func (s *Int96Statistics) EncodeMin() []byte

EncodeMin returns the encoded min value with plain encoding.

ByteArray stats do not include the length in the encoding.

func (*Int96Statistics) Equals 

func (s *Int96Statistics) Equals(other TypedStatistics) bool

Equals returns true only if both objects are the same type, have the same min and max values, null count, distinct count and number of values.

func (*Int96Statistics) HasDistinctCount 

func (s *Int96Statistics) HasDistinctCount() bool

func (*Int96Statistics) HasMinMax 

func (s *Int96Statistics) HasMinMax() bool

func (*Int96Statistics) HasNullCount 

func (s *Int96Statistics) HasNullCount() bool

func (*Int96Statistics) IncDistinct 

func (s *Int96Statistics) IncDistinct(n int64)

func (*Int96Statistics) IncNulls 

func (s *Int96Statistics) IncNulls(n int64)

func (*Int96Statistics) IncNumValues 

func (s *Int96Statistics) IncNumValues(n int64)

func (*Int96Statistics) Max 

func (s *Int96Statistics) Max() parquet.Int96

func (*Int96Statistics) Merge 

func (s *Int96Statistics) Merge(other TypedStatistics)

Merge merges the stats from other into this stat object, updating the null count, distinct count, number of values and the min/max if appropriate.

func (*Int96Statistics) Min 

func (s *Int96Statistics) Min() parquet.Int96

func (*Int96Statistics) MinMaxEqual 

func (s *Int96Statistics) MinMaxEqual(rhs *Int96Statistics) bool

MinMaxEqual returns true if both stat objects have the same Min and Max values

func (*Int96Statistics) NullCount 

func (s *Int96Statistics) NullCount() int64

func (*Int96Statistics) NumValues 

func (s *Int96Statistics) NumValues() int64

func (*Int96Statistics) Reset 

func (s *Int96Statistics) Reset()

func (*Int96Statistics) SetMinMax 

func (s *Int96Statistics) SetMinMax(argMin, argMax parquet.Int96)

SetMinMax updates the min and max values only if they are not currently set or if argMin is less than the current min / argMax is greater than the current max

func (*Int96Statistics) Type 

func (s *Int96Statistics) Type() parquet.Type

func (*Int96Statistics) Update 

func (s *Int96Statistics) Update(values []parquet.Int96, numNull int64)

Update is used to add more values to the current stat object, finding the min and max values etc.

func (*Int96Statistics) UpdateFromArrow 

func (s *Int96Statistics) UpdateFromArrow(values arrow.Array, updateCounts bool) error

func (*Int96Statistics) UpdateSpaced 

func (s *Int96Statistics) UpdateSpaced(values []parquet.Int96, validBits []byte, validBitsOffset, numNull int64)

UpdateSpaced is just like Update, but for spaced values using validBits to determine and skip null values.

type KeyValueMetadata 

type KeyValueMetadata []*format.KeyValue

KeyValueMetadata is an alias for a slice of thrift keyvalue pairs.

It is presumed that the metadata should all be utf8 valid.

func NewKeyValueMetadata 

func NewKeyValueMetadata() KeyValueMetadata

NewKeyValueMetadata is equivalent to make(KeyValueMetadata, 0)

func (*KeyValueMetadata) Append 

func (k *KeyValueMetadata) Append(key, value string) error

Append adds the passed in key and value to the metadata, if either contains any invalid utf8 runes, then it is not added and an error is returned.

func (KeyValueMetadata) Equals 

func (k KeyValueMetadata) Equals(other KeyValueMetadata) bool

Equals compares all of the metadata keys and values to check they are equal

func (KeyValueMetadata) FindValue 

func (k KeyValueMetadata) FindValue(key string) *string

func (KeyValueMetadata) Keys 

func (k KeyValueMetadata) Keys() (ret []string)

func (KeyValueMetadata) Len 

func (k KeyValueMetadata) Len() int

func (KeyValueMetadata) Values 

func (k KeyValueMetadata) Values() (ret []string)

type PageEncodingStats 

type PageEncodingStats struct {
	Encoding parquet.Encoding
	PageType format.PageType
}

PageEncodingStats is used for counting the number of pages of specific types with the given internal encoding.

type RowGroupMetaData 

type RowGroupMetaData struct {
	Schema *schema.Schema
	// contains filtered or unexported fields
}

RowGroupMetaData is a proxy around the thrift RowGroup meta data object

func NewRowGroupMetaData 

func NewRowGroupMetaData(rg *format.RowGroup, sc *schema.Schema, version *AppVersion, decryptor encryption.FileDecryptor) *RowGroupMetaData

NewRowGroupMetaData constructs an object from the underlying thrift objects and schema, decrypting if provided and necessary. This is primarily used internally and consumers should use the RowGroupMetaDataBuilder rather than this directly.

func (*RowGroupMetaData) ColumnChunk 

func (r *RowGroupMetaData) ColumnChunk(i int) (*ColumnChunkMetaData, error)

ColumnChunk returns the metadata for the requested (0-based) chunk index

func (*RowGroupMetaData) Equals 

func (r *RowGroupMetaData) Equals(other *RowGroupMetaData) bool

func (*RowGroupMetaData) FileOffset 

func (r *RowGroupMetaData) FileOffset() int64

FileOffset is the location in the file where the data for this rowgroup begins

func (*RowGroupMetaData) NumColumns 

func (r *RowGroupMetaData) NumColumns() int

NumColumns returns the number of column metadata objects in this row group

func (*RowGroupMetaData) NumRows 

func (r *RowGroupMetaData) NumRows() int64

NumRows is just the number of rows in this row group. All columns have the same number of rows for a row group regardless of repetition and definition levels.

func (*RowGroupMetaData) Ordinal 

func (r *RowGroupMetaData) Ordinal() int16

Ordinal is the row group number in order for the given file.

func (*RowGroupMetaData) TotalByteSize 

func (r *RowGroupMetaData) TotalByteSize() int64

TotalByteSize is the total size of this rowgroup on disk

func (*RowGroupMetaData) TotalCompressedSize 

func (r *RowGroupMetaData) TotalCompressedSize() int64

type RowGroupMetaDataBuilder 

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

RowGroupMetaDataBuilder is a convenience object for constructing row group metadata information. Primarily used in conjunction with writing new files.

func NewRowGroupMetaDataBuilder 

func NewRowGroupMetaDataBuilder(props *parquet.WriterProperties, schema *schema.Schema, rg *format.RowGroup) *RowGroupMetaDataBuilder

NewRowGroupMetaDataBuilder returns a builder using the given properties and underlying thrift object.

This is primarily used internally, consumers should use the file metadatabuilder and call AppendRowGroup on it to get instances of RowGroupMetaDataBuilder

func (*RowGroupMetaDataBuilder) CurrentColumn 

func (r *RowGroupMetaDataBuilder) CurrentColumn() int

CurrentColumn returns the current column chunk (0-based) index that is being built.

Returns -1 until the first time NextColumnChunk is called.

func (*RowGroupMetaDataBuilder) Finish 

func (r *RowGroupMetaDataBuilder) Finish(totalBytesWritten int64, ordinal int16) error

Finish should be called when complete and updates the metadata with the final file offset, and total compressed sizes. totalBytesWritten gets written as the TotalByteSize for the row group and Ordinal should be the index of the row group being written. e.g. first row group should be 0, second is 1, and so on...

func (*RowGroupMetaDataBuilder) NextColumnChunk 

func (r *RowGroupMetaDataBuilder) NextColumnChunk() *ColumnChunkMetaDataBuilder

NextColumnChunk appends a new column chunk, updates the column index, and returns a builder for that column chunk's metadata

func (*RowGroupMetaDataBuilder) NumColumns 

func (r *RowGroupMetaDataBuilder) NumColumns() int

NumColumns returns the current number of columns in this metadata

func (*RowGroupMetaDataBuilder) NumRows 

func (r *RowGroupMetaDataBuilder) NumRows() int64

func (*RowGroupMetaDataBuilder) SetNumRows 

func (r *RowGroupMetaDataBuilder) SetNumRows(nrows int)

type StatProvider 

type StatProvider interface {
	GetMin() []byte
	GetMax() []byte
	GetNullCount() int64
	GetDistinctCount() int64
	IsSetMax() bool
	IsSetMin() bool
	IsSetNullCount() bool
	IsSetDistinctCount() bool
}

type TypedStatistics 

type TypedStatistics interface {
	// Type is the underlying physical type for this stat block
	Type() parquet.Type
	// Returns true if there is a min and max value set for this stat object
	HasMinMax() bool
	// Returns true if a nullcount has been set
	HasNullCount() bool
	// returns true only if a distinct count has been set
	// current implementation does of the writer does not automatically populate
	// the distinct count right now.
	HasDistinctCount() bool
	NullCount() int64
	DistinctCount() int64
	NumValues() int64
	// return the column descriptor that this stat object was initialized with
	Descr() *schema.Column

	// Encode the current min value and return the bytes. ByteArray does not
	// include the len in the encoded bytes, otherwise this is identical to
	// plain encoding
	EncodeMin() []byte
	// Encode the current max value and return the bytes. ByteArray does not
	// include the len in the encoded bytes, otherwise this is identical to
	// plain encoding
	EncodeMax() []byte
	// Populate an EncodedStatistics object from the current stats
	Encode() (EncodedStatistics, error)
	// Resets all values to 0 to enable reusing this stat object for multiple
	// columns, by calling Encode to get the finished values and then calling
	// reset
	Reset()
	// Merge the min/max/nullcounts and distinct count from the passed stat object
	// into this one.
	Merge(TypedStatistics)

	// UpdateFromArrow updates the statistics from an Arrow Array,
	// only updating the null and num value counts if updateCounts
	// is true.
	UpdateFromArrow(values arrow.Array, updateCounts bool) error
	// IncNulls increments the number of nulls in the statistics
	// and marks HasNullCount as true
	IncNulls(int64)
	// IncDistinct increments the number of distinct values in
	// the statistics and marks HasDistinctCount as true
	IncDistinct(int64)
	// IncNumValues increments the total number of values in
	// the statistics
	IncNumValues(int64)
}

TypedStatistics is the base interface for dealing with stats as they are being populated

func NewStatistics 

func NewStatistics(descr *schema.Column, mem memory.Allocator) TypedStatistics

NewStatistics uses the type in the column descriptor to construct the appropriate typed stats object. If mem is nil, then memory.DefaultAllocator will be used.

func NewStatisticsFromEncoded 

func NewStatisticsFromEncoded(descr *schema.Column, mem memory.Allocator, nvalues int64, encoded StatProvider) TypedStatistics

NewStatisticsFromEncoded uses the provided information to initialize a typed stat object by checking the type of the provided column descriptor.

If mem is nil, then memory.DefaultAllocator is used.

Source Files

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