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#include <fluent-bit/stream_processor/flb_sp.h>
#include <fluent-bit/stream_processor/flb_sp_parser.h>
#include <fluent-bit/stream_processor/flb_sp_aggregate_func.h>
char aggregate_func_string[AGGREGATE_FUNCTIONS][sizeof("TIMESERIES_FORECAST") + 1] = {
"AVG",
"SUM",
"COUNT",
"MIN",
"MAX",
"TIMESERIES_FORECAST"
};
int aggregate_func_clone_nop(struct aggregate_node *aggr_node,
struct aggregate_node *aggr_node_prev,
struct flb_sp_cmd_key *ckey,
int key_id) {
return 0;
}
int aggregate_func_clone_timeseries_forecast(struct aggregate_node *aggr_node_clone,
struct aggregate_node *aggr_node,
struct flb_sp_cmd_key *ckey,
int key_id) {
struct timeseries_forecast *forecast_clone;
struct timeseries_forecast *forecast;
forecast_clone = (struct timeseries_forecast *) aggr_node_clone->aggregate_data[key_id];
if (!forecast_clone) {
forecast_clone = (struct timeseries_forecast *) flb_calloc(1, sizeof(struct timeseries_forecast));
if (!forecast_clone) {
return -1;
}
forecast_clone->future_time = ckey->constant;
aggr_node_clone->aggregate_data[key_id] = (struct aggregate_data *) forecast_clone;
}
forecast = (struct timeseries_forecast *) aggr_node->aggregate_data[key_id];
forecast_clone->sigma_x = forecast->sigma_x;
forecast_clone->sigma_y = forecast->sigma_y;
forecast_clone->sigma_xy = forecast->sigma_xy;
forecast_clone->sigma_x2 = forecast->sigma_x2;
return 0;
}
/* Summarize a value into the temporary array considering data type */
void aggregate_func_add_sum(struct aggregate_node *aggr_node,
struct flb_sp_cmd_key *ckey,
int key_id,
struct flb_time *tms,
int64_t ival, double dval) {
if (aggr_node->nums[key_id].type == FLB_SP_NUM_I64) {
aggr_node->nums[key_id].i64 += ival;
aggr_node->nums[key_id].ops++;
}
else if (aggr_node->nums[key_id].type == FLB_SP_NUM_F64) {
if (dval != 0.0) {
aggr_node->nums[key_id].f64 += dval;
}
else {
aggr_node->nums[key_id].f64 += (double) ival;
}
aggr_node->nums[key_id].ops++;
}
}
void aggregate_func_add_count(struct aggregate_node *aggr_node,
struct flb_sp_cmd_key *ckey,
int key_id,
struct flb_time *tms,
int64_t ival, double dval) {
}
/* Calculate the minimum value considering data type */
void aggregate_func_add_min(struct aggregate_node *aggr_node,
struct flb_sp_cmd_key *ckey,
int key_id,
struct flb_time *tms,
int64_t ival, double dval) {
if (aggr_node->nums[key_id].type == FLB_SP_NUM_I64) {
if (aggr_node->nums[key_id].ops == 0) {
aggr_node->nums[key_id].i64 = ival;
aggr_node->nums[key_id].ops++;
}
else {
if (aggr_node->nums[key_id].i64 > ival) {
aggr_node->nums[key_id].i64 = ival;
aggr_node->nums[key_id].ops++;
}
}
}
else if (aggr_node->nums[key_id].type == FLB_SP_NUM_F64) {
if (dval != 0.0) {
if (aggr_node->nums[key_id].ops == 0) {
aggr_node->nums[key_id].f64 = dval;
aggr_node->nums[key_id].ops++;
}
else {
if (aggr_node->nums[key_id].f64 > dval) {
aggr_node->nums[key_id].f64 = dval;
aggr_node->nums[key_id].ops++;
}
}
}
else {
if (aggr_node->nums[key_id].ops == 0) {
aggr_node->nums[key_id].f64 = (double) ival;
aggr_node->nums[key_id].ops++;
}
else {
if (aggr_node->nums[key_id].f64 > (double) ival) {
aggr_node->nums[key_id].f64 = ival;
aggr_node->nums[key_id].ops++;
}
}
}
}
}
/* Calculate the maximum value considering data type */
void aggregate_func_add_max(struct aggregate_node *aggr_node,
struct flb_sp_cmd_key *ckey,
int key_id,
struct flb_time *tms,
int64_t ival, double dval) {
if (aggr_node->nums[key_id].type == FLB_SP_NUM_I64) {
if (aggr_node->nums[key_id].ops == 0) {
aggr_node->nums[key_id].i64 = ival;
aggr_node->nums[key_id].ops++;
}
else {
if (aggr_node->nums[key_id].i64 < ival) {
aggr_node->nums[key_id].i64 = ival;
aggr_node->nums[key_id].ops++;
}
}
}
else if (aggr_node->nums[key_id].type == FLB_SP_NUM_F64) {
if (dval != 0.0) {
if (aggr_node->nums[key_id].ops == 0) {
aggr_node->nums[key_id].f64 = dval;
aggr_node->nums[key_id].ops++;
}
else {
if (aggr_node->nums[key_id].f64 < dval) {
aggr_node->nums[key_id].f64 = dval;
aggr_node->nums[key_id].ops++;
}
}
}
else {
if (aggr_node->nums[key_id].ops == 0) {
aggr_node->nums[key_id].f64 = (double) ival;
aggr_node->nums[key_id].ops++;
}
else {
if (aggr_node->nums[key_id].f64 < (double) ival) {
aggr_node->nums[key_id].f64 = (double) ival;
aggr_node->nums[key_id].ops++;
}
}
}
}
}
void aggregate_func_calc_avg(struct aggregate_node *aggr_node,
struct flb_sp_cmd_key *ckey,
msgpack_packer *mp_pck,
int key_id) {
double dval = 0.0;
/* average = sum(values) / records */
if (aggr_node->nums[key_id].type == FLB_SP_NUM_I64) {
dval = (double) aggr_node->nums[key_id].i64 / aggr_node->records;
}
else if (aggr_node->nums[key_id].type == FLB_SP_NUM_F64) {
dval = (double) aggr_node->nums[key_id].f64 / aggr_node->records;
}
msgpack_pack_float(mp_pck, dval);
}
void aggregate_func_calc_sum(struct aggregate_node *aggr_node,
struct flb_sp_cmd_key *ckey,
msgpack_packer *mp_pck,
int key_id) {
/* pack result stored in nums[key_id] */
if (aggr_node->nums[key_id].type == FLB_SP_NUM_I64) {
msgpack_pack_int64(mp_pck, aggr_node->nums[key_id].i64);
}
else if (aggr_node->nums[key_id].type == FLB_SP_NUM_F64) {
msgpack_pack_float(mp_pck, aggr_node->nums[key_id].f64);
}
}
void aggregate_func_calc_count(struct aggregate_node *aggr_node,
struct flb_sp_cmd_key *ckey,
msgpack_packer *mp_pck,
int key_id) {
/* number of records in total */
msgpack_pack_int64(mp_pck, aggr_node->records);
}
void aggregate_func_remove_sum(struct aggregate_node *aggr_node,
struct aggregate_node *aggr_node_prev,
int key_id) {
if (aggr_node->nums[key_id].type == FLB_SP_NUM_I64) {
aggr_node->nums[key_id].i64 -= aggr_node_prev->nums[key_id].i64;
}
else if (aggr_node->nums[key_id].type == FLB_SP_NUM_F64) {
aggr_node->nums[key_id].f64 -= aggr_node_prev->nums[key_id].f64;
}
}
void aggregate_func_remove_nop(struct aggregate_node *aggr_node,
struct aggregate_node *aggr_node_prev,
int key_id) {
}
void aggregate_func_add_timeseries_forecast(struct aggregate_node *aggr_node,
struct flb_sp_cmd_key *ckey,
int key_id,
struct flb_time *tms,
int64_t ival, double dval)
{
double x;
double y;
struct timeseries_forecast *forecast;
forecast = (struct timeseries_forecast *) aggr_node->aggregate_data[key_id];
if (!forecast) {
forecast = (struct timeseries_forecast *) flb_calloc(1, sizeof(struct timeseries_forecast));
/* fixme: return if error */
forecast->future_time = ckey->constant;
aggr_node->aggregate_data[key_id] = (struct aggregate_data *) forecast;
}
if (!forecast->offset) {
forecast->offset = flb_time_to_double(tms);
}
x = flb_time_to_double(tms) - forecast->offset;
forecast->latest_x = x;
if (ival) {
y = (double) ival;
}
else {
y = dval;
}
forecast->sigma_x += x;
forecast->sigma_y += y;
forecast->sigma_xy += x * y;
forecast->sigma_x2 += x * x;
}
void aggregate_func_calc_timeseries_forecast(struct aggregate_node *aggr_node,
struct flb_sp_cmd_key *ckey,
msgpack_packer *mp_pck,
int key_id)
{
double mean_x;
double mean_y;
double var_x;
double cov_xy;
double result;
/* y = b0 + b1 * x */
double b0;
double b1;
struct timeseries_forecast *forecast;
forecast = (struct timeseries_forecast *) aggr_node->aggregate_data[key_id];
mean_x = forecast->sigma_x / aggr_node->records;
mean_y = forecast->sigma_y / aggr_node->records;
cov_xy = (forecast->sigma_xy / (double) aggr_node->records) - mean_x * mean_y;
var_x = (forecast->sigma_x2 / aggr_node->records) - mean_x * mean_x;
b1 = cov_xy / var_x;
b0 = mean_y - b1 * mean_x;
result = b0 + b1 * (forecast->future_time + forecast->latest_x);
msgpack_pack_float(mp_pck, result);
}
void aggregate_func_remove_timeseries_forecast(struct aggregate_node *aggr_node,
struct aggregate_node *aggr_node_prev,
int key_id)
{
struct timeseries_forecast *forecast_w;
struct timeseries_forecast *forecast_h;
forecast_w = (struct timeseries_forecast *) aggr_node->aggregate_data[key_id];
forecast_h = (struct timeseries_forecast *) aggr_node_prev->aggregate_data[key_id];
forecast_w->sigma_x -= forecast_h->sigma_x;
forecast_w->sigma_y -= forecast_h->sigma_y;
forecast_w->sigma_xy -= forecast_h->sigma_xy;
forecast_w->sigma_x2 -= forecast_h->sigma_x2;
}
void aggregate_func_destroy_sum(struct aggregate_node *aggr_node,
int key_id)
{
}
void aggregate_func_destroy_timeseries_forecast(struct aggregate_node *aggr_node,
int key_id)
{
flb_free(aggr_node->aggregate_data[key_id]);
}
aggregate_function_clone aggregate_func_clone[AGGREGATE_FUNCTIONS] = {
aggregate_func_clone_nop,
aggregate_func_clone_nop,
aggregate_func_clone_nop,
aggregate_func_clone_nop,
aggregate_func_clone_nop,
aggregate_func_clone_timeseries_forecast,
};
aggregate_function_add aggregate_func_add[AGGREGATE_FUNCTIONS] = {
aggregate_func_add_sum,
aggregate_func_add_sum,
aggregate_func_add_count,
aggregate_func_add_min,
aggregate_func_add_max,
aggregate_func_add_timeseries_forecast,
};
aggregate_function_calc aggregate_func_calc[AGGREGATE_FUNCTIONS] = {
aggregate_func_calc_avg,
aggregate_func_calc_sum,
aggregate_func_calc_count,
aggregate_func_calc_sum,
aggregate_func_calc_sum,
aggregate_func_calc_timeseries_forecast,
};
aggregate_function_remove aggregate_func_remove[AGGREGATE_FUNCTIONS] = {
aggregate_func_remove_sum,
aggregate_func_remove_sum,
aggregate_func_remove_nop,
aggregate_func_remove_nop,
aggregate_func_remove_nop,
aggregate_func_remove_timeseries_forecast,
};
aggregate_function_destroy aggregate_func_destroy[AGGREGATE_FUNCTIONS] = {
aggregate_func_destroy_sum,
aggregate_func_destroy_sum,
aggregate_func_destroy_sum,
aggregate_func_destroy_sum,
aggregate_func_destroy_sum,
aggregate_func_destroy_timeseries_forecast,
};
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