vshmidt/pgvector: Open-source vector similarity search for Postgres

src/vector.c
1 162 строки23 KB
Andrew Kane
Fixed error with ANALYZE and vectors with different dimensions - fixes #451
02 фев 2024, 21:47
02 фев 2024, 21:472716a22
#include "postgres.h"

#include <math.h>

#include "catalog/pg_type.h"
#include "common/shortest_dec.h"
#include "fmgr.h"
#include "hnsw.h"
#include "ivfflat.h"
#include "lib/stringinfo.h"
#include "libpq/pqformat.h"
#include "port.h"				/* for strtof() */
#include "utils/array.h"
#include "utils/builtins.h"
#include "utils/float.h"
#include "utils/lsyscache.h"
#include "utils/numeric.h"
#include "vector.h"

#if PG_VERSION_NUM >= 160000
#include "varatt.h"
#endif

#if PG_VERSION_NUM < 130000
#define TYPALIGN_DOUBLE 'd'
#define TYPALIGN_INT 'i'
#endif

#define STATE_DIMS(x) (ARR_DIMS(x)[0] - 1)
#define CreateStateDatums(dim) palloc(sizeof(Datum) * (dim + 1))

PG_MODULE_MAGIC;

/*
 * Initialize index options and variables
 */
PGDLLEXPORT void _PG_init(void);
void
_PG_init(void)
{
	HnswInit();
	IvfflatInit();
}

/*
 * Ensure same dimensions
 */
static inline void
CheckDims(Vector * a, Vector * b)
{
	if (a->dim != b->dim)
		ereport(ERROR,
				(errcode(ERRCODE_DATA_EXCEPTION),
				 errmsg("different vector dimensions %d and %d", a->dim, b->dim)));
}

/*
 * Ensure expected dimensions
 */
static inline void
CheckExpectedDim(int32 typmod, int dim)
{
	if (typmod != -1 && typmod != dim)
		ereport(ERROR,
				(errcode(ERRCODE_DATA_EXCEPTION),
				 errmsg("expected %d dimensions, not %d", typmod, dim)));
}

/*
 * Ensure valid dimensions
 */
static inline void
CheckDim(int dim)
{
	if (dim < 1)
		ereport(ERROR,
				(errcode(ERRCODE_DATA_EXCEPTION),
				 errmsg("vector must have at least 1 dimension")));

	if (dim > VECTOR_MAX_DIM)
		ereport(ERROR,
				(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
				 errmsg("vector cannot have more than %d dimensions", VECTOR_MAX_DIM)));
}

/*
 * Ensure finite element
 */
static inline void
CheckElement(float value)
{
	if (isnan(value))
		ereport(ERROR,
				(errcode(ERRCODE_DATA_EXCEPTION),
				 errmsg("NaN not allowed in vector")));

	if (isinf(value))
		ereport(ERROR,
				(errcode(ERRCODE_DATA_EXCEPTION),
				 errmsg("infinite value not allowed in vector")));
}

/*
 * Allocate and initialize a new vector
 */
Vector *
InitVector(int dim)
{
	Vector	   *result;
	int			size;

	size = VECTOR_SIZE(dim);
	result = (Vector *) palloc0(size);
	SET_VARSIZE(result, size);
	result->dim = dim;

	return result;
}

/*
 * Check for whitespace, since array_isspace() is static
 */
static inline bool
vector_isspace(char ch)
{
	if (ch == ' ' ||
		ch == '\t' ||
		ch == '\n' ||
		ch == '\r' ||
		ch == '\v' ||
		ch == '\f')
		return true;
	return false;
}

/*
 * Check state array
 */
static float8 *
CheckStateArray(ArrayType *statearray, const char *caller)
{
	if (ARR_NDIM(statearray) != 1 ||
		ARR_DIMS(statearray)[0] < 1 ||
		ARR_HASNULL(statearray) ||
		ARR_ELEMTYPE(statearray) != FLOAT8OID)
		elog(ERROR, "%s: expected state array", caller);
	return (float8 *) ARR_DATA_PTR(statearray);
}

#if PG_VERSION_NUM < 120003
static pg_noinline void
float_overflow_error(void)
{
	ereport(ERROR,
			(errcode(ERRCODE_NUMERIC_VALUE_OUT_OF_RANGE),
			 errmsg("value out of range: overflow")));
}

static pg_noinline void
float_underflow_error(void)
{
	ereport(ERROR,
			(errcode(ERRCODE_NUMERIC_VALUE_OUT_OF_RANGE),
			 errmsg("value out of range: underflow")));
}
#endif

/*
 * Convert textual representation to internal representation
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_in);
Datum
vector_in(PG_FUNCTION_ARGS)
{
	char	   *lit = PG_GETARG_CSTRING(0);
	int32		typmod = PG_GETARG_INT32(2);
	float		x[VECTOR_MAX_DIM];
	int			dim = 0;
	char	   *pt;
	char	   *stringEnd;
	Vector	   *result;
	char	   *litcopy = pstrdup(lit);
	char	   *str = litcopy;

	while (vector_isspace(*str))
		str++;

	if (*str != '[')
		ereport(ERROR,
				(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
				 errmsg("malformed vector literal: \"%s\"", lit),
				 errdetail("Vector contents must start with \"[\".")));

	str++;
	pt = strtok(str, ",");
	stringEnd = pt;

	while (pt != NULL && *stringEnd != ']')
	{
		if (dim == VECTOR_MAX_DIM)
			ereport(ERROR,
					(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
					 errmsg("vector cannot have more than %d dimensions", VECTOR_MAX_DIM)));

		while (vector_isspace(*pt))
			pt++;

		/* Check for empty string like float4in */
		if (*pt == '\0')
			ereport(ERROR,
					(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
					 errmsg("invalid input syntax for type vector: \"%s\"", lit)));

		/* Use strtof like float4in to avoid a double-rounding problem */
		x[dim] = strtof(pt, &stringEnd);
		CheckElement(x[dim]);
		dim++;

		if (stringEnd == pt)
			ereport(ERROR,
					(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
					 errmsg("invalid input syntax for type vector: \"%s\"", lit)));

		while (vector_isspace(*stringEnd))
			stringEnd++;

		if (*stringEnd != '\0' && *stringEnd != ']')
			ereport(ERROR,
					(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
					 errmsg("invalid input syntax for type vector: \"%s\"", lit)));

		pt = strtok(NULL, ",");
	}

	if (stringEnd == NULL || *stringEnd != ']')
		ereport(ERROR,
				(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
				 errmsg("malformed vector literal: \"%s\"", lit),
				 errdetail("Unexpected end of input.")));

	stringEnd++;

	/* Only whitespace is allowed after the closing brace */
	while (vector_isspace(*stringEnd))
		stringEnd++;

	if (*stringEnd != '\0')
		ereport(ERROR,
				(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
				 errmsg("malformed vector literal: \"%s\"", lit),
				 errdetail("Junk after closing right brace.")));

	/* Ensure no consecutive delimiters since strtok skips */
	for (pt = lit + 1; *pt != '\0'; pt++)
	{
		if (pt[-1] == ',' && *pt == ',')
			ereport(ERROR,
					(errcode(ERRCODE_INVALID_TEXT_REPRESENTATION),
					 errmsg("malformed vector literal: \"%s\"", lit)));
	}

	if (dim < 1)
		ereport(ERROR,
				(errcode(ERRCODE_DATA_EXCEPTION),
				 errmsg("vector must have at least 1 dimension")));

	pfree(litcopy);

	CheckExpectedDim(typmod, dim);

	result = InitVector(dim);
	for (int i = 0; i < dim; i++)
		result->x[i] = x[i];

	PG_RETURN_POINTER(result);
}

/*
 * Convert internal representation to textual representation
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_out);
Datum
vector_out(PG_FUNCTION_ARGS)
{
	Vector	   *vector = PG_GETARG_VECTOR_P(0);
	int			dim = vector->dim;
	char	   *buf;
	char	   *ptr;
	int			n;

	/*
	 * Need:
	 *
	 * dim * (FLOAT_SHORTEST_DECIMAL_LEN - 1) bytes for
	 * float_to_shortest_decimal_bufn
	 *
	 * dim - 1 bytes for separator
	 *
	 * 3 bytes for [, ], and \0
	 */
	buf = (char *) palloc(FLOAT_SHORTEST_DECIMAL_LEN * dim + 2);
	ptr = buf;

	*ptr = '[';
	ptr++;
	for (int i = 0; i < dim; i++)
	{
		if (i > 0)
		{
			*ptr = ',';
			ptr++;
		}

		n = float_to_shortest_decimal_bufn(vector->x[i], ptr);
		ptr += n;
	}
	*ptr = ']';
	ptr++;
	*ptr = '\0';

	PG_FREE_IF_COPY(vector, 0);
	PG_RETURN_CSTRING(buf);
}

/*
 * Print vector - useful for debugging
 */
void
PrintVector(char *msg, Vector * vector)
{
	char	   *out = DatumGetPointer(DirectFunctionCall1(vector_out, PointerGetDatum(vector)));

	elog(INFO, "%s = %s", msg, out);
	pfree(out);
}

/*
 * Convert type modifier
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_typmod_in);
Datum
vector_typmod_in(PG_FUNCTION_ARGS)
{
	ArrayType  *ta = PG_GETARG_ARRAYTYPE_P(0);
	int32	   *tl;
	int			n;

	tl = ArrayGetIntegerTypmods(ta, &n);

	if (n != 1)
		ereport(ERROR,
				(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
				 errmsg("invalid type modifier")));

	if (*tl < 1)
		ereport(ERROR,
				(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
				 errmsg("dimensions for type vector must be at least 1")));

	if (*tl > VECTOR_MAX_DIM)
		ereport(ERROR,
				(errcode(ERRCODE_INVALID_PARAMETER_VALUE),
				 errmsg("dimensions for type vector cannot exceed %d", VECTOR_MAX_DIM)));

	PG_RETURN_INT32(*tl);
}

/*
 * Convert external binary representation to internal representation
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_recv);
Datum
vector_recv(PG_FUNCTION_ARGS)
{
	StringInfo	buf = (StringInfo) PG_GETARG_POINTER(0);
	int32		typmod = PG_GETARG_INT32(2);
	Vector	   *result;
	int16		dim;
	int16		unused;

	dim = pq_getmsgint(buf, sizeof(int16));
	unused = pq_getmsgint(buf, sizeof(int16));

	CheckDim(dim);
	CheckExpectedDim(typmod, dim);

	if (unused != 0)
		ereport(ERROR,
				(errcode(ERRCODE_DATA_EXCEPTION),
				 errmsg("expected unused to be 0, not %d", unused)));

	result = InitVector(dim);
	for (int i = 0; i < dim; i++)
	{
		result->x[i] = pq_getmsgfloat4(buf);
		CheckElement(result->x[i]);
	}

	PG_RETURN_POINTER(result);
}

/*
 * Convert internal representation to the external binary representation
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_send);
Datum
vector_send(PG_FUNCTION_ARGS)
{
	Vector	   *vec = PG_GETARG_VECTOR_P(0);
	StringInfoData buf;

	pq_begintypsend(&buf);
	pq_sendint(&buf, vec->dim, sizeof(int16));
	pq_sendint(&buf, vec->unused, sizeof(int16));
	for (int i = 0; i < vec->dim; i++)
		pq_sendfloat4(&buf, vec->x[i]);

	PG_RETURN_BYTEA_P(pq_endtypsend(&buf));
}

/*
 * Convert vector to vector
 * This is needed to check the type modifier
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector);
Datum
vector(PG_FUNCTION_ARGS)
{
	Vector	   *vec = PG_GETARG_VECTOR_P(0);
	int32		typmod = PG_GETARG_INT32(1);

	CheckExpectedDim(typmod, vec->dim);

	PG_RETURN_POINTER(vec);
}

/*
 * Convert array to vector
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(array_to_vector);
Datum
array_to_vector(PG_FUNCTION_ARGS)
{
	ArrayType  *array = PG_GETARG_ARRAYTYPE_P(0);
	int32		typmod = PG_GETARG_INT32(1);
	Vector	   *result;
	int16		typlen;
	bool		typbyval;
	char		typalign;
	Datum	   *elemsp;
	int			nelemsp;

	if (ARR_NDIM(array) > 1)
		ereport(ERROR,
				(errcode(ERRCODE_DATA_EXCEPTION),
				 errmsg("array must be 1-D")));

	if (ARR_HASNULL(array) && array_contains_nulls(array))
		ereport(ERROR,
				(errcode(ERRCODE_NULL_VALUE_NOT_ALLOWED),
				 errmsg("array must not contain nulls")));

	get_typlenbyvalalign(ARR_ELEMTYPE(array), &typlen, &typbyval, &typalign);
	deconstruct_array(array, ARR_ELEMTYPE(array), typlen, typbyval, typalign, &elemsp, NULL, &nelemsp);

	CheckDim(nelemsp);
	CheckExpectedDim(typmod, nelemsp);

	result = InitVector(nelemsp);

	if (ARR_ELEMTYPE(array) == INT4OID)
	{
		for (int i = 0; i < nelemsp; i++)
			result->x[i] = DatumGetInt32(elemsp[i]);
	}
	else if (ARR_ELEMTYPE(array) == FLOAT8OID)
	{
		for (int i = 0; i < nelemsp; i++)
			result->x[i] = DatumGetFloat8(elemsp[i]);
	}
	else if (ARR_ELEMTYPE(array) == FLOAT4OID)
	{
		for (int i = 0; i < nelemsp; i++)
			result->x[i] = DatumGetFloat4(elemsp[i]);
	}
	else if (ARR_ELEMTYPE(array) == NUMERICOID)
	{
		for (int i = 0; i < nelemsp; i++)
			result->x[i] = DatumGetFloat4(DirectFunctionCall1(numeric_float4, elemsp[i]));
	}
	else
	{
		ereport(ERROR,
				(errcode(ERRCODE_DATA_EXCEPTION),
				 errmsg("unsupported array type")));
	}

	/*
	 * Free allocation from deconstruct_array. Do not free individual elements
	 * when pass-by-reference since they point to original array.
	 */
	pfree(elemsp);

	/* Check elements */
	for (int i = 0; i < result->dim; i++)
		CheckElement(result->x[i]);

	PG_RETURN_POINTER(result);
}

/*
 * Convert vector to float4[]
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_to_float4);
Datum
vector_to_float4(PG_FUNCTION_ARGS)
{
	Vector	   *vec = PG_GETARG_VECTOR_P(0);
	Datum	   *datums;
	ArrayType  *result;

	datums = (Datum *) palloc(sizeof(Datum) * vec->dim);

	for (int i = 0; i < vec->dim; i++)
		datums[i] = Float4GetDatum(vec->x[i]);

	/* Use TYPALIGN_INT for float4 */
	result = construct_array(datums, vec->dim, FLOAT4OID, sizeof(float4), true, TYPALIGN_INT);

	pfree(datums);

	PG_RETURN_POINTER(result);
}

/*
 * Get the L2 distance between vectors
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(l2_distance);
Datum
l2_distance(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);
	float	   *ax = a->x;
	float	   *bx = b->x;
	float		distance = 0.0;
	float		diff;

	CheckDims(a, b);

	/* Auto-vectorized */
	for (int i = 0; i < a->dim; i++)
	{
		diff = ax[i] - bx[i];
		distance += diff * diff;
	}

	PG_RETURN_FLOAT8(sqrt((double) distance));
}

/*
 * Get the L2 squared distance between vectors
 * This saves a sqrt calculation
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_l2_squared_distance);
Datum
vector_l2_squared_distance(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);
	float	   *ax = a->x;
	float	   *bx = b->x;
	float		distance = 0.0;
	float		diff;

	CheckDims(a, b);

	/* Auto-vectorized */
	for (int i = 0; i < a->dim; i++)
	{
		diff = ax[i] - bx[i];
		distance += diff * diff;
	}

	PG_RETURN_FLOAT8((double) distance);
}

/*
 * Get the inner product of two vectors
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(inner_product);
Datum
inner_product(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);
	float	   *ax = a->x;
	float	   *bx = b->x;
	float		distance = 0.0;

	CheckDims(a, b);

	/* Auto-vectorized */
	for (int i = 0; i < a->dim; i++)
		distance += ax[i] * bx[i];

	PG_RETURN_FLOAT8((double) distance);
}

/*
 * Get the negative inner product of two vectors
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_negative_inner_product);
Datum
vector_negative_inner_product(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);
	float	   *ax = a->x;
	float	   *bx = b->x;
	float		distance = 0.0;

	CheckDims(a, b);

	/* Auto-vectorized */
	for (int i = 0; i < a->dim; i++)
		distance += ax[i] * bx[i];

	PG_RETURN_FLOAT8((double) distance * -1);
}

/*
 * Get the cosine distance between two vectors
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(cosine_distance);
Datum
cosine_distance(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);
	float	   *ax = a->x;
	float	   *bx = b->x;
	float		distance = 0.0;
	float		norma = 0.0;
	float		normb = 0.0;
	double		similarity;

	CheckDims(a, b);

	/* Auto-vectorized */
	for (int i = 0; i < a->dim; i++)
	{
		distance += ax[i] * bx[i];
		norma += ax[i] * ax[i];
		normb += bx[i] * bx[i];
	}

	/* Use sqrt(a * b) over sqrt(a) * sqrt(b) */
	similarity = (double) distance / sqrt((double) norma * (double) normb);

#ifdef _MSC_VER
	/* /fp:fast may not propagate NaN */
	if (isnan(similarity))
		PG_RETURN_FLOAT8(NAN);
#endif

	/* Keep in range */
	if (similarity > 1)
		similarity = 1.0;
	else if (similarity < -1)
		similarity = -1.0;

	PG_RETURN_FLOAT8(1.0 - similarity);
}

/*
 * Get the distance for spherical k-means
 * Currently uses angular distance since needs to satisfy triangle inequality
 * Assumes inputs are unit vectors (skips norm)
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_spherical_distance);
Datum
vector_spherical_distance(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);
	float	   *ax = a->x;
	float	   *bx = b->x;
	float		dp = 0.0;
	double		distance;

	CheckDims(a, b);

	/* Auto-vectorized */
	for (int i = 0; i < a->dim; i++)
		dp += ax[i] * bx[i];

	distance = (double) dp;

	/* Prevent NaN with acos with loss of precision */
	if (distance > 1)
		distance = 1;
	else if (distance < -1)
		distance = -1;

	PG_RETURN_FLOAT8(acos(distance) / M_PI);
}

/*
 * Get the L1 distance between two vectors
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(l1_distance);
Datum
l1_distance(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);
	float	   *ax = a->x;
	float	   *bx = b->x;
	float		distance = 0.0;

	CheckDims(a, b);

	/* Auto-vectorized */
	for (int i = 0; i < a->dim; i++)
		distance += fabsf(ax[i] - bx[i]);

	PG_RETURN_FLOAT8((double) distance);
}

/*
 * Get the dimensions of a vector
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_dims);
Datum
vector_dims(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);

	PG_RETURN_INT32(a->dim);
}

/*
 * Get the L2 norm of a vector
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_norm);
Datum
vector_norm(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	float	   *ax = a->x;
	double		norm = 0.0;

	/* Auto-vectorized */
	for (int i = 0; i < a->dim; i++)
		norm += (double) ax[i] * (double) ax[i];

	PG_RETURN_FLOAT8(sqrt(norm));
}

/*
 * Add vectors
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_add);
Datum
vector_add(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);
	float	   *ax = a->x;
	float	   *bx = b->x;
	Vector	   *result;
	float	   *rx;

	CheckDims(a, b);

	result = InitVector(a->dim);
	rx = result->x;

	/* Auto-vectorized */
	for (int i = 0, imax = a->dim; i < imax; i++)
		rx[i] = ax[i] + bx[i];

	/* Check for overflow */
	for (int i = 0, imax = a->dim; i < imax; i++)
	{
		if (isinf(rx[i]))
			float_overflow_error();
	}

	PG_RETURN_POINTER(result);
}

/*
 * Subtract vectors
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_sub);
Datum
vector_sub(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);
	float	   *ax = a->x;
	float	   *bx = b->x;
	Vector	   *result;
	float	   *rx;

	CheckDims(a, b);

	result = InitVector(a->dim);
	rx = result->x;

	/* Auto-vectorized */
	for (int i = 0, imax = a->dim; i < imax; i++)
		rx[i] = ax[i] - bx[i];

	/* Check for overflow */
	for (int i = 0, imax = a->dim; i < imax; i++)
	{
		if (isinf(rx[i]))
			float_overflow_error();
	}

	PG_RETURN_POINTER(result);
}

/*
 * Multiply vectors
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_mul);
Datum
vector_mul(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);
	float	   *ax = a->x;
	float	   *bx = b->x;
	Vector	   *result;
	float	   *rx;

	CheckDims(a, b);

	result = InitVector(a->dim);
	rx = result->x;

	/* Auto-vectorized */
	for (int i = 0, imax = a->dim; i < imax; i++)
		rx[i] = ax[i] * bx[i];

	/* Check for overflow and underflow */
	for (int i = 0, imax = a->dim; i < imax; i++)
	{
		if (isinf(rx[i]))
			float_overflow_error();

		if (rx[i] == 0 && !(ax[i] == 0 || bx[i] == 0))
			float_underflow_error();
	}

	PG_RETURN_POINTER(result);
}

/*
 * Internal helper to compare vectors
 */
int
vector_cmp_internal(Vector * a, Vector * b)
{
	int			dim = Min(a->dim, b->dim);

	/* Check values before dimensions to be consistent with Postgres arrays */
	for (int i = 0; i < dim; i++)
	{
		if (a->x[i] < b->x[i])
			return -1;

		if (a->x[i] > b->x[i])
			return 1;
	}

	if (a->dim < b->dim)
		return -1;

	if (a->dim > b->dim)
		return 1;

	return 0;
}

/*
 * Less than
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_lt);
Datum
vector_lt(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);

	/* TODO Remove in 0.7.0 */
	CheckDims(a, b);

	PG_RETURN_BOOL(vector_cmp_internal(a, b) < 0);
}

/*
 * Less than or equal
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_le);
Datum
vector_le(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);

	/* TODO Remove in 0.7.0 */
	CheckDims(a, b);

	PG_RETURN_BOOL(vector_cmp_internal(a, b) <= 0);
}

/*
 * Equal
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_eq);
Datum
vector_eq(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);

	/* TODO Remove in 0.7.0 */
	CheckDims(a, b);

	PG_RETURN_BOOL(vector_cmp_internal(a, b) == 0);
}

/*
 * Not equal
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_ne);
Datum
vector_ne(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);

	/* TODO Remove in 0.7.0 */
	CheckDims(a, b);

	PG_RETURN_BOOL(vector_cmp_internal(a, b) != 0);
}

/*
 * Greater than or equal
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_ge);
Datum
vector_ge(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);

	/* TODO Remove in 0.7.0 */
	CheckDims(a, b);

	PG_RETURN_BOOL(vector_cmp_internal(a, b) >= 0);
}

/*
 * Greater than
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_gt);
Datum
vector_gt(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);

	/* TODO Remove in 0.7.0 */
	CheckDims(a, b);

	PG_RETURN_BOOL(vector_cmp_internal(a, b) > 0);
}

/*
 * Compare vectors
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_cmp);
Datum
vector_cmp(PG_FUNCTION_ARGS)
{
	Vector	   *a = PG_GETARG_VECTOR_P(0);
	Vector	   *b = PG_GETARG_VECTOR_P(1);

	PG_RETURN_INT32(vector_cmp_internal(a, b));
}

/*
 * Accumulate vectors
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_accum);
Datum
vector_accum(PG_FUNCTION_ARGS)
{
	ArrayType  *statearray = PG_GETARG_ARRAYTYPE_P(0);
	Vector	   *newval = PG_GETARG_VECTOR_P(1);
	float8	   *statevalues;
	int16		dim;
	bool		newarr;
	float8		n;
	Datum	   *statedatums;
	float	   *x = newval->x;
	ArrayType  *result;

	/* Check array before using */
	statevalues = CheckStateArray(statearray, "vector_accum");
	dim = STATE_DIMS(statearray);
	newarr = dim == 0;

	if (newarr)
		dim = newval->dim;
	else
		CheckExpectedDim(dim, newval->dim);

	n = statevalues[0] + 1.0;

	statedatums = CreateStateDatums(dim);
	statedatums[0] = Float8GetDatum(n);

	if (newarr)
	{
		for (int i = 0; i < dim; i++)
			statedatums[i + 1] = Float8GetDatum((double) x[i]);
	}
	else
	{
		for (int i = 0; i < dim; i++)
		{
			double		v = statevalues[i + 1] + x[i];

			/* Check for overflow */
			if (isinf(v))
				float_overflow_error();

			statedatums[i + 1] = Float8GetDatum(v);
		}
	}

	/* Use float8 array like float4_accum */
	result = construct_array(statedatums, dim + 1,
							 FLOAT8OID,
							 sizeof(float8), FLOAT8PASSBYVAL, TYPALIGN_DOUBLE);

	pfree(statedatums);

	PG_RETURN_ARRAYTYPE_P(result);
}

/*
 * Combine vectors
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_combine);
Datum
vector_combine(PG_FUNCTION_ARGS)
{
	ArrayType  *statearray1 = PG_GETARG_ARRAYTYPE_P(0);
	ArrayType  *statearray2 = PG_GETARG_ARRAYTYPE_P(1);
	float8	   *statevalues1;
	float8	   *statevalues2;
	float8		n;
	float8		n1;
	float8		n2;
	int16		dim;
	Datum	   *statedatums;
	ArrayType  *result;

	/* Check arrays before using */
	statevalues1 = CheckStateArray(statearray1, "vector_combine");
	statevalues2 = CheckStateArray(statearray2, "vector_combine");

	n1 = statevalues1[0];
	n2 = statevalues2[0];

	if (n1 == 0.0)
	{
		n = n2;
		dim = STATE_DIMS(statearray2);
		statedatums = CreateStateDatums(dim);
		for (int i = 1; i <= dim; i++)
			statedatums[i] = Float8GetDatum(statevalues2[i]);
	}
	else if (n2 == 0.0)
	{
		n = n1;
		dim = STATE_DIMS(statearray1);
		statedatums = CreateStateDatums(dim);
		for (int i = 1; i <= dim; i++)
			statedatums[i] = Float8GetDatum(statevalues1[i]);
	}
	else
	{
		n = n1 + n2;
		dim = STATE_DIMS(statearray1);
		CheckExpectedDim(dim, STATE_DIMS(statearray2));
		statedatums = CreateStateDatums(dim);
		for (int i = 1; i <= dim; i++)
		{
			double		v = statevalues1[i] + statevalues2[i];

			/* Check for overflow */
			if (isinf(v))
				float_overflow_error();

			statedatums[i] = Float8GetDatum(v);
		}
	}

	statedatums[0] = Float8GetDatum(n);

	result = construct_array(statedatums, dim + 1,
							 FLOAT8OID,
							 sizeof(float8), FLOAT8PASSBYVAL, TYPALIGN_DOUBLE);

	pfree(statedatums);

	PG_RETURN_ARRAYTYPE_P(result);
}

/*
 * Average vectors
 */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_avg);
Datum
vector_avg(PG_FUNCTION_ARGS)
{
	ArrayType  *statearray = PG_GETARG_ARRAYTYPE_P(0);
	float8	   *statevalues;
	float8		n;
	uint16		dim;
	Vector	   *result;

	/* Check array before using */
	statevalues = CheckStateArray(statearray, "vector_avg");
	n = statevalues[0];

	/* SQL defines AVG of no values to be NULL */
	if (n == 0.0)
		PG_RETURN_NULL();

	/* Create vector */
	dim = STATE_DIMS(statearray);
	CheckDim(dim);
	result = InitVector(dim);
	for (int i = 0; i < dim; i++)
	{
		result->x[i] = statevalues[i + 1] / n;
		CheckElement(result->x[i]);
	}

	PG_RETURN_POINTER(result);
}