bloom.go

package parquet

import (
	"io"

	"github.com/parquet-go/parquet-go/bloom"
	"github.com/parquet-go/parquet-go/bloom/xxhash"
	"github.com/parquet-go/parquet-go/deprecated"
	"github.com/parquet-go/parquet-go/encoding"
	"github.com/parquet-go/parquet-go/format"
	"github.com/parquet-go/parquet-go/internal/unsafecast"
)

// BloomFilter is an interface allowing applications to test whether a key
// exists in a bloom filter.
type BloomFilter interface {
	// Implement the io.ReaderAt interface as a mechanism to allow reading the
	// raw bits of the filter.
	io.ReaderAt

	// Returns the size of the bloom filter (in bytes).
	Size() int64

	// Tests whether the given value is present in the filter.
	//
	// A non-nil error may be returned if reading the filter failed. This may
	// happen if the filter was lazily loaded from a storage medium during the
	// call to Check for example. Applications that can guarantee that the
	// filter was in memory at the time Check was called can safely ignore the
	// error, which would always be nil in this case.
	Check(value Value) (bool, error)
}

type bloomFilter struct {
	io.SectionReader
	hash  bloom.Hash
	check func(io.ReaderAt, int64, uint64) (bool, error)
}

func (f *bloomFilter) Check(v Value) (bool, error) {
	return f.check(&f.SectionReader, f.Size(), v.hash(f.hash))
}

func (v Value) hash(h bloom.Hash) uint64 {
	switch v.Kind() {
	case Boolean:
		return h.Sum64Uint8(v.byte())
	case Int32, Float:
		return h.Sum64Uint32(v.uint32())
	case Int64, Double:
		return h.Sum64Uint64(v.uint64())
	default: // Int96, ByteArray, FixedLenByteArray, or null
		return h.Sum64(v.byteArray())
	}
}

func newBloomFilter(file io.ReaderAt, offset int64, header *format.BloomFilterHeader) *bloomFilter {
	if header.Algorithm.Block != nil {
		if header.Hash.XxHash != nil {
			if header.Compression.Uncompressed != nil {
				return &bloomFilter{
					SectionReader: *io.NewSectionReader(file, offset, int64(header.NumBytes)),
					hash:          bloom.XXH64{},
					check:         bloom.CheckSplitBlock,
				}
			}
		}
	}
	return nil
}

// The BloomFilterColumn interface is a declarative representation of bloom filters
// used when configuring filters on a parquet writer.
type BloomFilterColumn interface {
	// Returns the path of the column that the filter applies to.
	Path() []string

	// Returns the hashing algorithm used when inserting values into a bloom
	// filter.
	Hash() bloom.Hash

	// Returns an encoding which can be used to write columns of values to the
	// filter.
	Encoding() encoding.Encoding

	// Returns the size of the filter needed to encode values in the filter,
	// assuming each value will be encoded with the given number of bits.
	Size(numValues int64) int
}

// SplitBlockFilter constructs a split block bloom filter object for the column
// at the given path, with the given bitsPerValue.
//
// If you are unsure what number of bitsPerValue to use, 10 is a reasonable
// tradeoff between size and error rate for common datasets.
//
// For more information on the tradeoff between size and error rate, consult
// this website: https://hur.st/bloomfilter/?n=4000&p=0.1&m=&k=1
func SplitBlockFilter(bitsPerValue uint, path ...string) BloomFilterColumn {
	return splitBlockFilter{
		bitsPerValue: bitsPerValue,
		path:         path,
	}
}

type splitBlockFilter struct {
	bitsPerValue uint
	path         []string
}

func (f splitBlockFilter) Path() []string              { return f.path }
func (f splitBlockFilter) Hash() bloom.Hash            { return bloom.XXH64{} }
func (f splitBlockFilter) Encoding() encoding.Encoding { return splitBlockEncoding{} }

func (f splitBlockFilter) Size(numValues int64) int {
	return bloom.BlockSize * bloom.NumSplitBlocksOf(numValues, f.bitsPerValue)
}

// Creates a header from the given bloom filter.
//
// For now there is only one type of filter supported, but we provide this
// function to suggest a model for extending the implementation if new filters
// are added to the parquet specs.
func bloomFilterHeader(filter BloomFilterColumn) (header format.BloomFilterHeader) {
	switch filter.(type) {
	case splitBlockFilter:
		header.Algorithm.Block = &format.SplitBlockAlgorithm{}
	}
	switch filter.Hash().(type) {
	case bloom.XXH64:
		header.Hash.XxHash = &format.XxHash{}
	}
	header.Compression.Uncompressed = &format.BloomFilterUncompressed{}
	return header
}

func searchBloomFilterColumn(filters []BloomFilterColumn, path columnPath) BloomFilterColumn {
	for _, f := range filters {
		if path.equal(f.Path()) {
			return f
		}
	}
	return nil
}

const (
	// Size of the stack buffer used to perform bulk operations on bloom filters.
	//
	// This value was determined as being a good default empirically,
	// 128 x uint64 makes a 1KiB buffer which amortizes the cost of calling
	// methods of bloom filters while not causing too much stack growth either.
	filterEncodeBufferSize = 128
)

type splitBlockEncoding struct {
	encoding.NotSupported
}

func (splitBlockEncoding) EncodeBoolean(dst []byte, src []byte) ([]byte, error) {
	splitBlockEncodeUint8(bloom.MakeSplitBlockFilter(dst), src)
	return dst, nil
}

func (splitBlockEncoding) EncodeInt32(dst []byte, src []int32) ([]byte, error) {
	splitBlockEncodeUint32(bloom.MakeSplitBlockFilter(dst), unsafecast.Int32ToUint32(src))
	return dst, nil
}

func (splitBlockEncoding) EncodeInt64(dst []byte, src []int64) ([]byte, error) {
	splitBlockEncodeUint64(bloom.MakeSplitBlockFilter(dst), unsafecast.Int64ToUint64(src))
	return dst, nil
}

func (e splitBlockEncoding) EncodeInt96(dst []byte, src []deprecated.Int96) ([]byte, error) {
	splitBlockEncodeFixedLenByteArray(bloom.MakeSplitBlockFilter(dst), deprecated.Int96ToBytes(src), 12)
	return dst, nil
}

func (splitBlockEncoding) EncodeFloat(dst []byte, src []float32) ([]byte, error) {
	splitBlockEncodeUint32(bloom.MakeSplitBlockFilter(dst), unsafecast.Float32ToUint32(src))
	return dst, nil
}

func (splitBlockEncoding) EncodeDouble(dst []byte, src []float64) ([]byte, error) {
	splitBlockEncodeUint64(bloom.MakeSplitBlockFilter(dst), unsafecast.Float64ToUint64(src))
	return dst, nil
}

func (splitBlockEncoding) EncodeByteArray(dst []byte, src []byte, offsets []uint32) ([]byte, error) {
	filter := bloom.MakeSplitBlockFilter(dst)
	buffer := make([]uint64, 0, filterEncodeBufferSize)
	baseOffset := offsets[0]

	for _, endOffset := range offsets[1:] {
		value := src[baseOffset:endOffset:endOffset]
		baseOffset = endOffset

		if len(buffer) == cap(buffer) {
			filter.InsertBulk(buffer)
			buffer = buffer[:0]
		}

		buffer = append(buffer, xxhash.Sum64(value))
	}

	filter.InsertBulk(buffer)
	return dst, nil
}

func (splitBlockEncoding) EncodeFixedLenByteArray(dst []byte, src []byte, size int) ([]byte, error) {
	filter := bloom.MakeSplitBlockFilter(dst)
	if size == 16 {
		splitBlockEncodeUint128(filter, unsafecast.BytesToUint128(src))
	} else {
		splitBlockEncodeFixedLenByteArray(filter, src, size)
	}
	return dst, nil
}

func splitBlockEncodeFixedLenByteArray(filter bloom.SplitBlockFilter, data []byte, size int) {
	buffer := make([]uint64, 0, filterEncodeBufferSize)

	for i, j := 0, size; j <= len(data); {
		if len(buffer) == cap(buffer) {
			filter.InsertBulk(buffer)
			buffer = buffer[:0]
		}
		buffer = append(buffer, xxhash.Sum64(data[i:j]))
		i += size
		j += size
	}

	filter.InsertBulk(buffer)
}

func splitBlockEncodeUint8(filter bloom.SplitBlockFilter, values []uint8) {
	buffer := make([]uint64, filterEncodeBufferSize)

	for i := 0; i < len(values); {
		n := xxhash.MultiSum64Uint8(buffer, values[i:])
		filter.InsertBulk(buffer[:n])
		i += n
	}
}

func splitBlockEncodeUint32(filter bloom.SplitBlockFilter, values []uint32) {
	buffer := make([]uint64, filterEncodeBufferSize)

	for i := 0; i < len(values); {
		n := xxhash.MultiSum64Uint32(buffer, values[i:])
		filter.InsertBulk(buffer[:n])
		i += n
	}
}

func splitBlockEncodeUint64(filter bloom.SplitBlockFilter, values []uint64) {
	buffer := make([]uint64, filterEncodeBufferSize)

	for i := 0; i < len(values); {
		n := xxhash.MultiSum64Uint64(buffer, values[i:])
		filter.InsertBulk(buffer[:n])
		i += n
	}
}

func splitBlockEncodeUint128(filter bloom.SplitBlockFilter, values [][16]byte) {
	buffer := make([]uint64, filterEncodeBufferSize)

	for i := 0; i < len(values); {
		n := xxhash.MultiSum64Uint128(buffer, values[i:])
		filter.InsertBulk(buffer[:n])
		i += n
	}
}