greenplumn SparseData 源码

  • 2022-08-18
  • 浏览 (374)

greenplumn SparseData 代码

文件路径:/gpcontrib/gp_sparse_vector/SparseData.h

/*-------------------------------------------------------------------------
 *
 * SparseData.h
 *        Declarations/definitions for "SparseData" functions.
 *
 * SparseData provides array storage for repetitive data as commonly found in
 * numerical analysis of sparse arrays and matrices.  Sequential duplicate
 * values in the array are represented in an index structure that stores the
 * count of the number of times a given value is duplicated.  All storage is
 * allocated with palloc().
 *
 * NOTES
 * The SparseData structure is an in-memory structure and so must be serialized
 * into a persisted structure like a VARLENA when leaving a GP / Postgres
 * function.  This implies a COPY from the SparseData to the VARLENA.
 *
 * Copyright (c) 2010, Greenplum Software
 * Portions Copyright (c) 2013-Present VMware, Inc. or its affiliates.
 *
 *
 * IDENTIFICATION
 *	    gpcontrib/gp_sparse_vector/SparseData.h
 *
 *-------------------------------------------------------------------------
 */
#ifndef SPARSEDATA_H
#define SPARSEDATA_H

#include <math.h>
#include <string.h>
#include "postgres.h"
#include "lib/stringinfo.h"
#include "utils/array.h"
#include "catalog/pg_type.h"

#define ABS(a)   (((a) < 0) ? -(a) : (a))
#define MIN(a,b) (((a) < (b)) ? (a) : (b))
#define MAX(a,b) (((a) > (b)) ? (a) : (b))
#define CEIL(a,b) ( ((a)+(b)-1) / (b) )
#define BCAP(a)  ( ((a) != 0) ? 1 : 0 )

/*
 * Calculate the size of the integer count in an RLE index provided the pointer
 * to the start of the count entry
 *
 * Note that if the ptr is NULL, a zero size is returned
 */
#define	int8compstoragesize(ptr) \
	(((ptr) == NULL) ? 0 : (((*((char *)(ptr)) < 0) ? 1 : (1 + *((char *)(ptr))))) )

/*------------------------------------------------------------------------------
 * SparseData holds information about a sparse array of values
 *------------------------------------------------------------------------------
 */
typedef struct SparseDataStruct
{
	/* The native type of the data entries */
	Oid type_of_data;
//	enum
//	{
//		BIT,BYTE,INT16,INT32,INT64,FLOAT32,FLOAT64,COMPLEX32,COMPLEX64
//		BYTE,INT16,INT32,INT64,FLOAT32,FLOAT64
//	} type_of_data;
	int unique_value_count; /* The number of unique values in the data
				   array */
	int total_value_count;  /* The total number of values, including
				   duplicates */
	StringInfo vals;  /* The unique number values are stored here as a
			     stream of bytes */
	StringInfo index; /* A count of each value is stored in the index */
} SparseDataStruct;

typedef SparseDataStruct *SparseData;

/* Calculate the size of a serialized SparseData based on the actual consumed
 * length of the StringInfo data and StringInfoData structures.
 */
/*------------------------------------------------------------------------------
 * Serialized SparseData
 *------------------------------------------------------------------------------
 * SparseDataStruct Contents
 * StringInfoData Contents for "vals"
 * StringInfoData Contents for "index"
 * data contents for "vals" (size is vals->maxlen)
 * data contents for "index" (size is index->maxlen)
 *
 * 	The vals and index fields are serialized as StringInfoData, then the
 * 	data contents are serialized at the end.
 *
 * 	Since two StringInfoData structs together are 64-bit aligned, there's
 * 	no need for padding.
 *
 * 	For reference, here is the format of the StringInfoData:
 * 		char * dataptr;
 * 			-> a placeholder in the serialized version, is filled
 * 			   when the serialized version is used in-place
 * 		int len;
 * 		int maxlen;
 * 		int cursor;
 */ 
#define SIZEOF_SPARSEDATAHDR	(sizeof(SparseDataStruct)+4)
/* Size of the sparse data structure minus the dynamic variables, plus two integers
 * describing the length of the data area and index
 * Takes a SparseData argument 
 */
#define SIZEOF_SPARSEDATASERIAL(x) (SIZEOF_SPARSEDATAHDR + \
		(2*sizeof(StringInfoData))+ \
		(x)->vals->maxlen + (x)->index->maxlen)

/*
 * The following take a serialized SparseData as an argument and return
 * pointers to locations inside.
 */
#define SDATA_DATA_SINFO(x)	((char *)(x)+SIZEOF_SPARSEDATAHDR)
#define SDATA_INDEX_SINFO(x)	(SDATA_DATA_SINFO(x)+sizeof(StringInfoData))
#define SDATA_DATA_SIZE(x)	(((StringInfo)SDATA_DATA_SINFO(x))->maxlen)
#define SDATA_INDEX_SIZE(x)	(((StringInfo)SDATA_INDEX_SINFO(x))->maxlen)
#define SDATA_VALS_PTR(x)       (SDATA_INDEX_SINFO(x)+sizeof(StringInfoData))
#define SDATA_INDEX_PTR(x) 	(SDATA_VALS_PTR(x)+SDATA_DATA_SIZE(x))

#define SDATA_UNIQUE_VALCNT(x)	(((SparseData)(x))->unique_value_count)
#define SDATA_TOTAL_VALCNT(x)	(((SparseData)(x))->total_value_count)

#define SDATA_IS_SCALAR(x)	(((((x)->unique_value_count)==((x)->total_value_count))&&((x)->total_value_count==1)) ? 1 : 0)


int64 *sdata_index_to_int64arr(SparseData sdata);
void serializeSparseData(char *target, SparseData source);

SparseData makeEmptySparseData(void);
SparseData makeInplaceSparseData(char *vals, char *index,
		int datasize, int indexsize, Oid datatype,
		int unique_value_count, int total_value_count);

SparseData makeSparseDataCopy(SparseData source_sdata);
SparseData makeSparseDataFromDouble(double scalar,int64 dimension);

SparseData makeSparseData(void);
void freeSparseData(SparseData sdata);
void freeSparseDataAndData(SparseData sdata);
SparseData float8arr_to_sdata(double *array, int count);
SparseData arr_to_sdata(char *array, size_t width, Oid type_of_data, int count);
double *sdata_to_float8arr(SparseData sdata);
StringInfo copyStringInfo(StringInfo source_sinfo);
StringInfo makeStringInfoFromData(char *data,int len);
static inline void int8_to_compword(int64 num, char entry[9]);

static inline size_t
size_of_type(Oid type)
{
	switch (type)
	{ 
		case FLOAT4OID:
			return(4);
		case FLOAT8OID:
			return(8);
		case CHAROID:
			return(1);
		case INT2OID:
			return(2);
		case INT4OID:
			return(4);
		case INT8OID:
			return(8);
	}
	return(1);
}

static inline void append_to_rle_index(StringInfo index, int64 run_len)
{
	char bytes[]={0,0,0,0,0,0,0,0,0}; /* 9 bytes into which the compressed
					     int8 value is written */
	int8_to_compword(run_len,bytes); /* create compressed version of
					    int8 value */
	appendBinaryStringInfo(index,bytes,int8compstoragesize(bytes));
}

static inline void add_run_to_sdata(char *run_val, int64 run_len, size_t width,
		SparseData sdata)
{
	StringInfo index = sdata->index;
	StringInfo vals  = sdata->vals;

	appendBinaryStringInfo(vals,run_val,width);
	append_to_rle_index(index, run_len);
	sdata->unique_value_count++;
	sdata->total_value_count+=run_len;
}
/*------------------------------------------------------------------------------
 * Each integer count in the RLE index is stored in a number of bytes determined
 * by it's size.  The larger the integer count, the larger the size of storage.
 * Following is the map of count maximums to storage size:
 * 	Range			Storage
 * 	---------		-----------------------------------------
 * 	0     - 127		signed char stores the negative count
 *
 * 		All higher than 127 have two parts, the description byte
 * 		and the count word
 *
 * 	description byte	signed char stores the number of bytes in the
 * 				count word one of 1,2,4 or 8
 *
 * 	128   - 32767		count word is 2 bytes, signed int16_t
 * 	32768 - 2147483648	count word is 4 bytes, signed int32_t
 * 	2147483648 - max	count word is 8 bytes, signed int64
 *------------------------------------------------------------------------------
 */
/*
 * Transform an int64 value to an RLE entry.  The entry is placed in the
 * provided entry[] array and will have a variable size depending on the value.
 */
static inline void int8_to_compword(int64 num, char entry[9])
{
	int16_t num_2;
	int32_t num_4;

	if (num < 128) {
		entry[0] = -(char)num;
	} else if (num < 32768) {
		entry[0] = 2;
		num_2 = (int16_t)num;
		entry[1] = *( char *)(&num_2)   ;
		entry[2] = *((char *)(&num_2)+1);
	} else if (num < 2147483648) {
		entry[0] = 4;
		num_4 = (int32_t)num;
		entry[1] = *( char *)(&num_4)   ;
		entry[2] = *((char *)(&num_4)+1);
		entry[3] = *((char *)(&num_4)+2);
		entry[4] = *((char *)(&num_4)+3);
	} else {
		entry[0] = 8;
		entry[1] = *( char *)(&num)   ;
		entry[2] = *((char *)(&num)+1);
		entry[3] = *((char *)(&num)+2);
		entry[4] = *((char *)(&num)+3);
		entry[5] = *((char *)(&num)+4);
		entry[6] = *((char *)(&num)+5);
		entry[7] = *((char *)(&num)+6);
		entry[8] = *((char *)(&num)+7);
	}
}

/*
 * Transform a count entry into an int64 value when provided with a pointer
 * to an entry.
 */
static inline int64 compword_to_int8(const char *entry)
{
	char size = int8compstoragesize(entry);
	int16_t num_2;
	char *numptr2 = (char *)(&num_2);
	int32_t num_4;
	char *numptr4 = (char *)(&num_4);
	int64 num;
	char *numptr8 = (char *)(&num);

	switch(size) {
		case 0: //Null entry, return a run length of 1
			return(1);
			break;
		case 1:
			num = -(entry[0]);
			break;
		case 3:
			numptr2[0] = entry[1];
			numptr2[1] = entry[2];
			num = num_2;
			break;
		case 5:
			numptr4[0] = entry[1];
			numptr4[1] = entry[2];
			numptr4[2] = entry[3];
			numptr4[3] = entry[4];
			num = num_4;
			break;
		case 9:
			numptr8[0] = entry[1];
			numptr8[1] = entry[2];
			numptr8[2] = entry[3];
			numptr8[3] = entry[4];
			numptr8[4] = entry[5];
			numptr8[5] = entry[6];
			numptr8[6] = entry[7];
			numptr8[7] = entry[8];
			break;
	}

	return num;
}

/*------------------------------------------------------------------------------
 * Multiplication, Addition, Division by scalars
 *------------------------------------------------------------------------------
 */
#define typref(type,ptr) (*((type *)(ptr)))
#define valref(type,val,i) (((type *)(val)->vals->data)[(i)])
#define valsquare(val)	(val*val)
#define valcube(val)	(val*valsquare(val))
#define valquad(val)	(valsquare(valsquare(val)))
#define apply_const_to_sdata(sdata,i,op,scalar) \
	switch ((sdata)->type_of_data) \
{ \
	case FLOAT4OID: \
		valref(float,sdata,i) op typref(float,scalar); \
		break; \
	case FLOAT8OID: \
		valref(float8,sdata,i) op typref(float8,scalar); \
		break; \
	case CHAROID: \
		valref(char,sdata,i) op typref(char,scalar); \
		break; \
	case INT2OID: \
		valref(int16,sdata,i) op typref(int16,scalar); \
		break; \
	case INT4OID: \
		valref(int32,sdata,i) op typref(int32,scalar); \
		break; \
	case INT8OID: \
		valref(int64,sdata,i) op typref(int64,scalar); \
		break; \
}

#define apply_scalar_left_to_sdata(sdata,i,op,scalar) \
	switch ((sdata)->type_of_data) \
{ \
	case FLOAT4OID: \
		valref(float,sdata,i) = \
		typref(float,scalar) op valref(float,sdata,i); \
		break; \
	case FLOAT8OID: \
		valref(float8,sdata,i) = \
		typref(float8,scalar) op valref(float8,sdata,i); \
		break; \
	case CHAROID: \
		valref(char,sdata,i) = \
		typref(char,scalar) op valref(char,sdata,i); \
		break; \
	case INT2OID: \
		valref(int16,sdata,i) = \
		typref(int16,scalar) op valref(int16_t,sdata,i); \
		break; \
	case INT4OID: \
		valref(int32,sdata,i) = \
		typref(int32,scalar) op valref(int32_t,sdata,i); \
		break; \
	case INT8OID: \
		valref(int64,sdata,i) = \
		typref(int64,scalar) op valref(int64,sdata,i); \
		break; \
}

#define accum_sdata_result(result,left,i,op,right,j) \
	switch ((left)->type_of_data) \
{ \
	case FLOAT4OID: \
		typref(float,result) = \
		valref(float,left,i) op \
		valref(float,right,j); \
		break; \
	case FLOAT8OID: \
		typref(float8,result) = \
		valref(float8,left,i) op \
		valref(float8,right,j); \
		break; \
	case CHAROID: \
		typref(char,result) = \
		valref(char,left,i) op \
		valref(char,right,j); \
		break; \
	case INT2OID: \
		typref(int16,result) = \
		valref(int16,left,i) op \
		valref(int16,right,j); \
		break; \
	case INT4OID: \
		typref(int32,result) = \
		valref(int32,left,i) op \
		valref(int32,right,j); \
		break; \
	case INT8OID: \
		typref(int64,result) = \
		valref(int64,left,i) op \
		valref(int64,right,j); \
		break; \
}

#define apply_function_sdata_scalar(result,func,left,i,scalar) \
	switch ((left)->type_of_data) \
{ \
	case FLOAT4OID: \
		valref(float,result,i) =\
		func(valref(float,left,i),typref(float,scalar)); \
		break; \
	case FLOAT8OID: \
		valref(float8,result,i) =\
		func(valref(float8,left,i),typref(float8,scalar)); \
		break; \
	case CHAROID: \
		valref(char,result,i) =\
		func(valref(char,left,i),typref(char,scalar)); \
		break; \
	case INT2OID: \
		valref(int16,result,i) =\
		func(valref(int16,left,i),typref(int16,scalar)); \
		break; \
	case INT4OID: \
		valref(int32,result,i) =\
		func(valref(int32,left,i),typref(int32,scalar)); \
		break; \
	case INT8OID: \
		valref(int64,result,i) =\
		func(valref(int64,left,i),typref(int64,scalar)); \
		break; \
}

#define apply_square_sdata(result,left,i) \
	switch ((left)->type_of_data) \
{ \
	case FLOAT4OID: \
		valref(float,result,i) = \
		valsquare(valref(float,left,i)); \
		break; \
	case FLOAT8OID: \
		valref(float8,result,i) = \
		valsquare(valref(float8,left,i));\
		break; \
	case CHAROID: \
		valref(char,result,i) = \
		valsquare(valref(char,left,i));\
		break; \
	case INT2OID: \
		valref(int16_t,result,i) = \
		valsquare(valref(int16_t,left,i));\
		break; \
	case INT4OID: \
		valref(int32_t,result,i) = \
		valsquare(valref(int32_t,left,i));\
		break; \
	case INT8OID: \
		valref(int64,result,i) = \
		valsquare(valref(int64,left,i));\
		break; \
}

#define apply_cube_sdata(result,left,i) \
	switch ((left)->type_of_data) \
{ \
	case FLOAT4OID: \
		valref(float,result,i) = \
		valcube(valref(float,left,i)); \
		break; \
	case FLOAT8OID: \
		valref(float8,result,i) = \
		valcube(valref(float8,left,i));\
		break; \
	case CHAROID: \
		valref(char,result,i) = \
		valcube(valref(char,left,i));\
		break; \
	case INT2OID: \
		valref(int16_t,result,i) = \
		valcube(valref(int16_t,left,i));\
		break; \
	case INT4OID: \
		valref(int32_t,result,i) = \
		valcube(valref(int32_t,left,i));\
		break; \
	case INT8OID: \
		valref(int64,result,i) = \
		valcube(valref(int64,left,i));\
		break; \
}
#define apply_quad_sdata(result,left,i) \
	switch ((left)->type_of_data) \
{ \
	case FLOAT4OID: \
		valref(float,result,i) = \
		valquad(valref(float,left,i)); \
		break; \
	case FLOAT8OID: \
		valref(float8,result,i) = \
		valquad(valref(float8,left,i));\
		break; \
	case CHAROID: \
		valref(char,result,i) = \
		valquad(valref(char,left,i));\
		break; \
	case INT2OID: \
		valref(int16_t,result,i) = \
		valquad(valref(int16_t,left,i));\
		break; \
	case INT4OID: \
		valref(int32_t,result,i) = \
		valquad(valref(int32_t,left,i));\
		break; \
	case INT8OID: \
		valref(int64,result,i) = \
		valquad(valref(int64,left,i));\
		break; \
}

static inline void
check_sdata_dimensions(SparseData left, SparseData right)
{
	if (left->total_value_count != right->total_value_count)
	{
		ereport(ERROR, 
				(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
				 errmsg("operation undefined when dimension of left and right vectors are not the same")));
	}
}

/*
 * Do one of subtract, add, multiply, or divide depending on
 * the value of operation one of (0,1,2,3).
 *
 * The "direction" argument is either 1 or 2 depending on
 * whether the scalar is on the left (1) or right (2)
 */
static inline void op_sdata_by_scalar_inplace(int operation,
		char *scalar, SparseData sdata, int direction)
{
	if (direction == 2) //scalar is on the right
	{
		for(int i=0; i<sdata->unique_value_count; i++)
		{
			switch(operation)
			{
				case 0:
			apply_const_to_sdata(sdata,i,-=,scalar)
					break;
				case 1:
			apply_const_to_sdata(sdata,i,+=,scalar)
					break;
				case 2:
			apply_const_to_sdata(sdata,i,*=,scalar)
					break;
				case 3:
			apply_const_to_sdata(sdata,i,/=,scalar)
					break;
			}
		}
	} else { //scalar is on the left
		for(int i=0; i<sdata->unique_value_count; i++)
		{
			switch(operation)
			{
				case 0:
			apply_scalar_left_to_sdata(sdata,i,-,scalar)
					break;
				case 1:
			apply_scalar_left_to_sdata(sdata,i,+,scalar)
					break;
				case 2:
			apply_scalar_left_to_sdata(sdata,i,*,scalar)
					break;
				case 3:
			apply_scalar_left_to_sdata(sdata,i,/,scalar)
					break;
			}
		}
	}

}
static inline SparseData op_sdata_by_scalar_copy(int operation,
		char *scalar, SparseData source_sdata, int direction) {
	SparseData sdata = makeSparseDataCopy(source_sdata);
	op_sdata_by_scalar_inplace(operation,scalar,sdata,direction);
	return sdata;
}

/*
 * Exponentiate an sdata left argument with a right scalar
 */
static inline SparseData pow_sdata_by_scalar(SparseData sdata,
		char *scalar)
{
	SparseData result = makeSparseDataCopy(sdata);
	for(int i=0; i<sdata->unique_value_count; i++)
		apply_function_sdata_scalar(result,pow,sdata,i,scalar)

	return(result);
}
static inline SparseData square_sdata(SparseData sdata)
{
	SparseData result = makeSparseDataCopy(sdata);
	for(int i=0; i<sdata->unique_value_count; i++)
		apply_square_sdata(result,sdata,i)

	return(result);
}
static inline SparseData cube_sdata(SparseData sdata)
{
	SparseData result = makeSparseDataCopy(sdata);
	for(int i=0; i<sdata->unique_value_count; i++)
		apply_cube_sdata(result,sdata,i)

	return(result);
}
static inline SparseData quad_sdata(SparseData sdata)
{
	SparseData result = makeSparseDataCopy(sdata);
	for(int i=0; i<sdata->unique_value_count; i++)
		apply_quad_sdata(result,sdata,i)

	return(result);
}

static inline bool sparsedata_eq(SparseData left, SparseData right)
{
	if ((left->total_value_count  != right->total_value_count)   ||
	    (left->unique_value_count != right->unique_value_count))
		return(0);
	/*
	 * We'll take a two phase approach to enhance speed:
	 * Check the unique values for equivalence, then check the run lengths
	 */
	if (memcmp(left->vals->data,right->vals->data,left->vals->len))
	{
		return(0);
	}
	if (memcmp(left->index->data,right->index->data,left->index->len))
	{
		return(0);
	}

	return(1);
}

static inline double sum_sdata_values_double(SparseData sdata)
{
	double accum=0.;
	char *ix = sdata->index->data;
	double *vals = (double *)sdata->vals->data;
	int64 run_length;

	for (int i=0;i<sdata->unique_value_count;i++)
	{
		run_length = compword_to_int8(ix);
		accum += vals[i]*run_length;
		ix+=int8compstoragesize(ix);
	}
	return (accum);
}
static inline double l2norm_sdata_values_double(SparseData sdata)
{
	double accum=0.;
	char *ix = sdata->index->data;
	double *vals = (double *)sdata->vals->data;
	int64 run_length;

	for (int i=0;i<sdata->unique_value_count;i++)
	{
		run_length = compword_to_int8(ix);
		accum += (vals[i]*vals[i])*run_length;
		ix+=int8compstoragesize(ix);
	}
	accum = sqrt(accum);
	return (accum);
}
static inline double l1norm_sdata_values_double(SparseData sdata)
{
	double accum=0.;
	char *ix = sdata->index->data;
	double *vals = (double *)sdata->vals->data;
	int64 run_length;

	for (int i=0;i<sdata->unique_value_count;i++)
	{
		run_length = compword_to_int8(ix);
		accum += ABS(vals[i])*run_length;
		ix+=int8compstoragesize(ix);
	}
	return (accum);
}

/*------------------------------------------------------------------------------
 * Addition, Scalar Product, Division between SparseData arrays
 *
 * There are a few factors to consider:
 * - The dimension of the left and right arguments must be the same
 * - We employ an algorithm that does the computation on the compressed contents
 *   which creates a new SparseData array
 * - "operation" is one of 0,1,2,3 for subtraction, addition, multiplication or
 *   division
 *------------------------------------------------------------------------------
 */
static inline SparseData op_sdata_by_sdata(int operation,SparseData left,
		SparseData right)
{
	SparseData sdata = makeSparseData();

	/*
	 * Loop over the contents of the left array, operating on elements
	 * of the right array and append a new value to the sdata when a
	 * new unique value is generated.
	 *
	 * We will manage two cursors, one for each of left and right arrays
	 */
	char *liptr=left->index->data;
	char *riptr=right->index->data;
	int left_run_length, right_run_length;
	char *new_value,*last_new_value;
	int tot_run_length=-1;
	left_run_length = compword_to_int8(liptr);
	right_run_length = compword_to_int8(riptr);
	int left_lst=0,right_lst=0;
	int left_nxt=left_run_length,right_nxt=right_run_length;
	int nextpos = MIN(left_nxt,right_nxt),lastpos=0;
	int i=0,j=0;
	size_t width = size_of_type(left->type_of_data);

	check_sdata_dimensions(left,right);

	new_value      = (char *)palloc(width);
	last_new_value = (char *)palloc(width);

	if ((operation > 3)|| (operation < 0))
		ereport(ERROR, 
				(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
				 errmsg("operation not in range 0-3")));

	while (1)
	{
//		printf("i,j,left_nxt,right_nxt,nextpos=%d,%d,%d,%d,%d\n",i,j,nextpos,left_nxt,right_nxt);
		switch (operation)
		{
			case 0:
				accum_sdata_result(new_value,left,i,-,right,j)
				break;
			case 1:
			default:
				accum_sdata_result(new_value,left,i,+,right,j)
				break;
			case 2:
				accum_sdata_result(new_value,left,i,*,right,j)
				break;
			case 3:
				accum_sdata_result(new_value,left,i,/,right,j)
				break;
		}
		/*
		 * Potentially add a new run, depending on whether this is a different
		 * value from the previous calculation.  It may be that this calculation
		 * has produced an identical value to the previous, in which case we store
		 * it up, waiting for a new value to happen.
		 */
		if (tot_run_length==-1)
		{
			memcpy(last_new_value,new_value,width);
			tot_run_length=0;
		}
		if (memcmp(new_value,last_new_value,width))
		{
			add_run_to_sdata(last_new_value,tot_run_length,sizeof(float8),sdata);
			tot_run_length = 0;
			memcpy(last_new_value,new_value,width);
		}
		tot_run_length += (nextpos-lastpos);
//		printf("New_value,runlength = %f,%d\n",new_value,nextpos-lastpos);
		if ((left_nxt==right_nxt)&&(left_nxt==(left->total_value_count))) {
//			printf("STOPPING: i,j,left_nxt,right_nxt,nextpos=%d,%d,%d,%d,%d\n",i,j,nextpos,left_nxt,right_nxt);
			break;
		} else if (left_nxt==right_nxt) {
			i++;j++;
			left_lst=left_nxt;right_lst=right_nxt;
			liptr+=int8compstoragesize(liptr);
			riptr+=int8compstoragesize(riptr);
		} else if (nextpos==left_nxt) {
			i++;
			left_lst=left_nxt;
			liptr+=int8compstoragesize(liptr);
		} else if (nextpos==right_nxt) {
			j++;
			right_lst=right_nxt;
			riptr+=int8compstoragesize(riptr);
		}
		left_run_length = compword_to_int8(liptr);
		right_run_length = compword_to_int8(riptr);
		left_nxt=left_run_length+left_lst;
		right_nxt=right_run_length+right_lst;
		lastpos=nextpos;
		nextpos = MIN(left_nxt,right_nxt);
//		printf("nextpos,leftmax = %d,%d\n",nextpos,left->total_value_count);
	}

	/*
	 * Add the last run if we ended with a repeating value
	 */
	if (tot_run_length!=0)
		add_run_to_sdata(new_value,tot_run_length,sizeof(float8),sdata);

	/*
	 * Set the return data type
	 */
	sdata->type_of_data = left->type_of_data;

	pfree(new_value);
	pfree(last_new_value);

	return sdata;
}

/*------------------------------------------------------------------------------
 * macros that will test test whether a given double
 * value is in the normal range or is in the special range (denormals,
 * exceptions).
 *------------------------------------------------------------------------------
 */
/* Anything between LOW and HIGH is a denormal or exception */
#define SPEC_MASK_HIGH 0xFFF0000000000000
#define SPEC_MASK_LOW  0x7FF0000000000000
#define MASKTEST(x,y)	(((x)&(y))==x) /* MASKTEST checks for the presents of
					  the bits in x in the input y */

/* The input to MASKTEST_double should be an int64 mask and a (double *) to be
 * tested
 */
#define MASKTEST_double(x,y)	MASKTEST((x),*((int64 *)(&(y))))

#define DBL_IS_A_SPECIAL(x) \
  (MASKTEST_double(SPEC_MASK_HIGH,(x)) || MASKTEST_double(SPEC_MASK_LOW,(x)) \
   || ((x) == 0.))

#endif	/* SPARSEDATA_H */

相关信息

greenplumn 源码目录

相关文章

greenplumn SparseData 源码

greenplumn gp_sfv 源码

greenplumn operators 源码

greenplumn sparse_vector 源码

greenplumn sparse_vector 源码

0  赞