opensourcemirror
/
netdata
mirror of https://github.com/netdata/netdata.git
1
0
Fork 0
Code Issues Releases Wiki Activity
netdata/collectors/statsd.plugin/statsd.c

2808 lines
108 KiB
C
Raw Blame History

// SPDX-License-Identifier: GPL-3.0-or-later
#include "daemon/common.h"
#define STATSD_CHART_PREFIX "statsd"
#define PLUGIN_STATSD_NAME "statsd.plugin"
#define STATSD_LISTEN_PORT 8125
#define STATSD_LISTEN_BACKLOG 4096
#define WORKER_JOB_TYPE_TCP_CONNECTED 0
#define WORKER_JOB_TYPE_TCP_DISCONNECTED 1
#define WORKER_JOB_TYPE_RCV_DATA 2
#define WORKER_JOB_TYPE_SND_DATA 3
#if WORKER_UTILIZATION_MAX_JOB_TYPES < 4
#error Please increase WORKER_UTILIZATION_MAX_JOB_TYPES to at least 4
#endif
// --------------------------------------------------------------------------------------
// #define STATSD_MULTITHREADED 1
#ifdef STATSD_MULTITHREADED
// DO NOT ENABLE MULTITHREADING - IT IS NOT WELL TESTED
#define STATSD_DICTIONARY_OPTIONS (DICT_OPTION_DONT_OVERWRITE_VALUE | DICT_OPTION_ADD_IN_FRONT)
#else
#define STATSD_DICTIONARY_OPTIONS (DICT_OPTION_DONT_OVERWRITE_VALUE | DICT_OPTION_ADD_IN_FRONT | DICT_OPTION_SINGLE_THREADED)
#endif
#define STATSD_DECIMAL_DETAIL 1000 // floating point values get multiplied by this, with the same divisor
// --------------------------------------------------------------------------------------------------------------------
// data specific to each metric type
typedef struct statsd_metric_gauge {
NETDATA_DOUBLE value;
} STATSD_METRIC_GAUGE;
typedef struct statsd_metric_counter { // counter and meter
long long value;
} STATSD_METRIC_COUNTER;
typedef struct statsd_histogram_extensions {
netdata_mutex_t mutex;
// average is stored in metric->last
collected_number last_min;
collected_number last_max;
collected_number last_percentile;
collected_number last_median;
collected_number last_stddev;
collected_number last_sum;
int zeroed;
RRDDIM *rd_min;
RRDDIM *rd_max;
RRDDIM *rd_percentile;
RRDDIM *rd_median;
RRDDIM *rd_stddev;
//RRDDIM *rd_sum;
size_t size;
size_t used;
NETDATA_DOUBLE *values; // dynamic array of values collected
} STATSD_METRIC_HISTOGRAM_EXTENSIONS;
typedef struct statsd_metric_histogram { // histogram and timer
STATSD_METRIC_HISTOGRAM_EXTENSIONS *ext;
} STATSD_METRIC_HISTOGRAM;
typedef struct statsd_metric_set {
DICTIONARY *dict;
size_t unique;
} STATSD_METRIC_SET;
typedef struct statsd_metric_dictionary_item {
size_t count;
RRDDIM *rd;
} STATSD_METRIC_DICTIONARY_ITEM;
typedef struct statsd_metric_dictionary {
DICTIONARY *dict;
size_t unique;
} STATSD_METRIC_DICTIONARY;
// --------------------------------------------------------------------------------------------------------------------
// this is a metric - for all types of metrics
typedef enum statsd_metric_options {
STATSD_METRIC_OPTION_NONE = 0x00000000, // no options set
STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED = 0x00000001, // do not update the chart dimension, when this metric is not collected
STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED = 0x00000002, // render a private chart for this metric
STATSD_METRIC_OPTION_PRIVATE_CHART_CHECKED = 0x00000004, // the metric has been checked if it should get private chart or not
STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT = 0x00000008, // show the count of events for this private chart
STATSD_METRIC_OPTION_CHECKED_IN_APPS = 0x00000010, // set when this metric has been checked against apps
STATSD_METRIC_OPTION_USED_IN_APPS = 0x00000020, // set when this metric is used in apps
STATSD_METRIC_OPTION_CHECKED = 0x00000040, // set when the charting thread checks this metric for use in charts (its usefulness)
STATSD_METRIC_OPTION_USEFUL = 0x00000080, // set when the charting thread finds the metric useful (i.e. used in a chart)
STATSD_METRIC_OPTION_COLLECTION_FULL_LOGGED = 0x00000100, // set when the collection is full for this metric
} STATS_METRIC_OPTIONS;
typedef enum statsd_metric_type {
STATSD_METRIC_TYPE_GAUGE,
STATSD_METRIC_TYPE_COUNTER,
STATSD_METRIC_TYPE_METER,
STATSD_METRIC_TYPE_TIMER,
STATSD_METRIC_TYPE_HISTOGRAM,
STATSD_METRIC_TYPE_SET,
STATSD_METRIC_TYPE_DICTIONARY
} STATSD_METRIC_TYPE;
typedef struct statsd_metric {
const char *name; // the name of the metric - linked to dictionary name
uint32_t hash; // hash of the name
STATSD_METRIC_TYPE type;
// metadata about data collection
collected_number events; // the number of times this metric has been collected (never resets)
size_t count; // the number of times this metric has been collected since the last flush
// the actual collected data
union {
STATSD_METRIC_GAUGE gauge;
STATSD_METRIC_COUNTER counter;
STATSD_METRIC_HISTOGRAM histogram;
STATSD_METRIC_SET set;
STATSD_METRIC_DICTIONARY dictionary;
};
char *units;
char *dimname;
char *family;
// chart related members
STATS_METRIC_OPTIONS options; // STATSD_METRIC_OPTION_* (bitfield)
char reset; // set to 1 by the charting thread to instruct the collector thread(s) to reset this metric
collected_number last; // the last value sent to netdata
RRDSET *st; // the private chart of this metric
RRDDIM *rd_value; // the dimension of this metric value
RRDDIM *rd_count; // the dimension for the number of events received
// linking, used for walking through all metrics
struct statsd_metric *next_useful;
} STATSD_METRIC;
// --------------------------------------------------------------------------------------------------------------------
// each type of metric has its own index
typedef struct statsd_index {
char *name; // the name of the index of metrics
size_t events; // the number of events processed for this index
size_t metrics; // the number of metrics in this index
size_t useful; // the number of useful metrics in this index
STATSD_METRIC_TYPE type; // the type of index
DICTIONARY *dict;
STATSD_METRIC *first_useful; // the linked list of useful metrics (new metrics are added in front)
STATS_METRIC_OPTIONS default_options; // default options for all metrics in this index
} STATSD_INDEX;
// --------------------------------------------------------------------------------------------------------------------
// synthetic charts
typedef enum statsd_app_chart_dimension_value_type {
STATSD_APP_CHART_DIM_VALUE_TYPE_EVENTS,
STATSD_APP_CHART_DIM_VALUE_TYPE_LAST,
STATSD_APP_CHART_DIM_VALUE_TYPE_AVERAGE,
STATSD_APP_CHART_DIM_VALUE_TYPE_SUM,
STATSD_APP_CHART_DIM_VALUE_TYPE_MIN,
STATSD_APP_CHART_DIM_VALUE_TYPE_MAX,
STATSD_APP_CHART_DIM_VALUE_TYPE_PERCENTILE,
STATSD_APP_CHART_DIM_VALUE_TYPE_MEDIAN,
STATSD_APP_CHART_DIM_VALUE_TYPE_STDDEV
} STATSD_APP_CHART_DIM_VALUE_TYPE;
typedef struct statsd_app_chart_dimension {
const char *name; // the name of this dimension
const char *metric; // the source metric name of this dimension
uint32_t metric_hash; // hash for fast string comparisons
SIMPLE_PATTERN *metric_pattern; // set when the 'metric' is a simple pattern
collected_number multiplier; // the multiplier of the dimension
collected_number divisor; // the divisor of the dimension
RRDDIM_FLAGS flags; // the RRDDIM flags for this dimension
RRDDIM_OPTIONS options; // the RRDDIM options for this dimension
STATSD_APP_CHART_DIM_VALUE_TYPE value_type; // which value to use of the source metric
RRDDIM *rd; // a pointer to the RRDDIM that has been created for this dimension
collected_number *value_ptr; // a pointer to the source metric value
RRD_ALGORITHM algorithm; // the algorithm of this dimension
struct statsd_app_chart_dimension *next; // the next dimension for this chart
} STATSD_APP_CHART_DIM;
typedef struct statsd_app_chart {
const char *id;
const char *name;
const char *title;
const char *family;
const char *context;
const char *units;
const char *module;
long priority;
RRDSET_TYPE chart_type;
STATSD_APP_CHART_DIM *dimensions;
size_t dimensions_count;
size_t dimensions_linked_count;
RRDSET *st;
struct statsd_app_chart *next;
} STATSD_APP_CHART;
typedef struct statsd_app {
const char *name;
SIMPLE_PATTERN *metrics;
STATS_METRIC_OPTIONS default_options;
RRD_MEMORY_MODE rrd_memory_mode;
DICTIONARY *dict;
long rrd_history_entries;
const char *source;
STATSD_APP_CHART *charts;
struct statsd_app *next;
} STATSD_APP;
// --------------------------------------------------------------------------------------------------------------------
// global statsd data
struct collection_thread_status {
int status;
size_t max_sockets;
netdata_thread_t thread;
};
static struct statsd {
STATSD_INDEX gauges;
STATSD_INDEX counters;
STATSD_INDEX timers;
STATSD_INDEX histograms;
STATSD_INDEX meters;
STATSD_INDEX sets;
STATSD_INDEX dictionaries;
size_t unknown_types;
size_t socket_errors;
size_t tcp_socket_connects;
size_t tcp_socket_disconnects;
size_t tcp_socket_connected;
size_t tcp_socket_reads;
size_t tcp_packets_received;
size_t tcp_bytes_read;
size_t udp_socket_reads;
size_t udp_packets_received;
size_t udp_bytes_read;
int enabled;
int update_every;
SIMPLE_PATTERN *charts_for;
size_t tcp_idle_timeout;
collected_number decimal_detail;
size_t private_charts;
size_t max_private_charts_hard;
long private_charts_rrd_history_entries;
unsigned int private_charts_hidden:1;
STATSD_APP *apps;
size_t recvmmsg_size;
size_t histogram_increase_step;
double histogram_percentile;
char *histogram_percentile_str;
size_t dictionary_max_unique;
int threads;
struct collection_thread_status *collection_threads_status;
LISTEN_SOCKETS sockets;
} statsd = {
.enabled = 1,
.max_private_charts_hard = 1000,
.private_charts_hidden = 0,
.recvmmsg_size = 10,
.decimal_detail = STATSD_DECIMAL_DETAIL,
.gauges = {
.name = "gauge",
.events = 0,
.metrics = 0,
.dict = NULL,
.type = STATSD_METRIC_TYPE_GAUGE,
.default_options = STATSD_METRIC_OPTION_NONE
},
.counters = {
.name = "counter",
.events = 0,
.metrics = 0,
.dict = NULL,
.type = STATSD_METRIC_TYPE_COUNTER,
.default_options = STATSD_METRIC_OPTION_NONE
},
.timers = {
.name = "timer",
.events = 0,
.metrics = 0,
.dict = NULL,
.type = STATSD_METRIC_TYPE_TIMER,
.default_options = STATSD_METRIC_OPTION_NONE
},
.histograms = {
.name = "histogram",
.events = 0,
.metrics = 0,
.dict = NULL,
.type = STATSD_METRIC_TYPE_HISTOGRAM,
.default_options = STATSD_METRIC_OPTION_NONE
},
.meters = {
.name = "meter",
.events = 0,
.metrics = 0,
.dict = NULL,
.type = STATSD_METRIC_TYPE_METER,
.default_options = STATSD_METRIC_OPTION_NONE
},
.sets = {
.name = "set",
.events = 0,
.metrics = 0,
.dict = NULL,
.type = STATSD_METRIC_TYPE_SET,
.default_options = STATSD_METRIC_OPTION_NONE
},
.dictionaries = {
.name = "dictionary",
.events = 0,
.metrics = 0,
.dict = NULL,
.type = STATSD_METRIC_TYPE_DICTIONARY,
.default_options = STATSD_METRIC_OPTION_NONE
},
.tcp_idle_timeout = 600,
.apps = NULL,
.histogram_percentile = 95.0,
.histogram_increase_step = 10,
.dictionary_max_unique = 200,
.threads = 0,
.collection_threads_status = NULL,
.sockets = {
.config = &netdata_config,
.config_section = CONFIG_SECTION_STATSD,
.default_bind_to = "udp:localhost tcp:localhost",
.default_port = STATSD_LISTEN_PORT,
.backlog = STATSD_LISTEN_BACKLOG
},
};
// --------------------------------------------------------------------------------------------------------------------
// statsd index management - add/find metrics
static void dictionary_metric_insert_callback(const DICTIONARY_ITEM *item, void *value, void *data) {
STATSD_INDEX *index = (STATSD_INDEX *)data;
STATSD_METRIC *m = (STATSD_METRIC *)value;
const char *name = dictionary_acquired_item_name(item);
debug(D_STATSD, "Creating new %s metric '%s'", index->name, name);
m->name = name;
m->hash = simple_hash(name);
m->type = index->type;
m->options = index->default_options;
if (m->type == STATSD_METRIC_TYPE_HISTOGRAM || m->type == STATSD_METRIC_TYPE_TIMER) {
m->histogram.ext = callocz(1,sizeof(STATSD_METRIC_HISTOGRAM_EXTENSIONS));
netdata_mutex_init(&m->histogram.ext->mutex);
}
__atomic_fetch_add(&index->metrics, 1, __ATOMIC_RELAXED);
}
static void dictionary_metric_delete_callback(const DICTIONARY_ITEM *item, void *value, void *data) {
(void)data; // STATSD_INDEX *index = (STATSD_INDEX *)data;
(void)item;
STATSD_METRIC *m = (STATSD_METRIC *)value;
if(m->type == STATSD_METRIC_TYPE_HISTOGRAM || m->type == STATSD_METRIC_TYPE_TIMER) {
freez(m->histogram.ext);
m->histogram.ext = NULL;
}
freez(m->units);
freez(m->family);
freez(m->dimname);
}
static inline STATSD_METRIC *statsd_find_or_add_metric(STATSD_INDEX *index, const char *name) {
debug(D_STATSD, "searching for metric '%s' under '%s'", name, index->name);
#ifdef STATSD_MULTITHREADED
// avoid the write lock of dictionary_set() for existing metrics
STATSD_METRIC *m = dictionary_get(index->dict, name);
if(!m) m = dictionary_set(index->dict, name, NULL, sizeof(STATSD_METRIC));
#else
// no locks here, go faster
// this will call the dictionary_metric_insert_callback() if an item
// is inserted, otherwise it will return the existing one.
// We used the flag DICT_OPTION_DONT_OVERWRITE_VALUE to support this.
STATSD_METRIC *m = dictionary_set(index->dict, name, NULL, sizeof(STATSD_METRIC));
#endif
index->events++;
return m;
}
// --------------------------------------------------------------------------------------------------------------------
// statsd parsing numbers
static inline NETDATA_DOUBLE statsd_parse_float(const char *v, NETDATA_DOUBLE def) {
NETDATA_DOUBLE value;
if(likely(v && *v)) {
char *e = NULL;
value = str2ndd(v, &e);
if(unlikely(e && *e))
error("STATSD: excess data '%s' after value '%s'", e, v);
}
else
value = def;
return value;
}
static inline NETDATA_DOUBLE statsd_parse_sampling_rate(const char *v) {
NETDATA_DOUBLE sampling_rate = statsd_parse_float(v, 1.0);
if(unlikely(isless(sampling_rate, 0.001))) sampling_rate = 0.001;
if(unlikely(isgreater(sampling_rate, 1.0))) sampling_rate = 1.0;
return sampling_rate;
}
static inline long long statsd_parse_int(const char *v, long long def) {
long long value;
if(likely(v && *v)) {
char *e = NULL;
value = str2ll(v, &e);
if(unlikely(e && *e))
error("STATSD: excess data '%s' after value '%s'", e, v);
}
else
value = def;
return value;
}
// --------------------------------------------------------------------------------------------------------------------
// statsd processors per metric type
static inline void statsd_reset_metric(STATSD_METRIC *m) {
m->reset = 0;
m->count = 0;
}
static inline int value_is_zinit(const char *value) {
return (value && *value == 'z' && *++value == 'i' && *++value == 'n' && *++value == 'i' && *++value == 't' && *++value == '\0');
}
#define is_metric_checked(m) ((m)->options & STATSD_METRIC_OPTION_CHECKED)
#define is_metric_useful_for_collection(m) (!is_metric_checked(m) || ((m)->options & STATSD_METRIC_OPTION_USEFUL))
static inline void statsd_process_gauge(STATSD_METRIC *m, const char *value, const char *sampling) {
if(!is_metric_useful_for_collection(m)) return;
if(unlikely(!value || !*value)) {
error("STATSD: metric '%s' of type gauge, with empty value is ignored.", m->name);
return;
}
if(unlikely(m->reset)) {
// no need to reset anything specific for gauges
statsd_reset_metric(m);
}
if(unlikely(value_is_zinit(value))) {
// magic loading of metric, without affecting anything
}
else {
if (unlikely(*value == '+' || *value == '-'))
m->gauge.value += statsd_parse_float(value, 1.0) / statsd_parse_sampling_rate(sampling);
else
m->gauge.value = statsd_parse_float(value, 1.0);
m->events++;
m->count++;
}
}
static inline void statsd_process_counter_or_meter(STATSD_METRIC *m, const char *value, const char *sampling) {
if(!is_metric_useful_for_collection(m)) return;
// we accept empty values for counters
if(unlikely(m->reset)) statsd_reset_metric(m);
if(unlikely(value_is_zinit(value))) {
// magic loading of metric, without affecting anything
}
else {
m->counter.value += llrintndd((NETDATA_DOUBLE) statsd_parse_int(value, 1) / statsd_parse_sampling_rate(sampling));
m->events++;
m->count++;
}
}
#define statsd_process_counter(m, value, sampling) statsd_process_counter_or_meter(m, value, sampling)
#define statsd_process_meter(m, value, sampling) statsd_process_counter_or_meter(m, value, sampling)
static inline void statsd_process_histogram_or_timer(STATSD_METRIC *m, const char *value, const char *sampling, const char *type) {
if(!is_metric_useful_for_collection(m)) return;
if(unlikely(!value || !*value)) {
error("STATSD: metric of type %s, with empty value is ignored.", type);
return;
}
if(unlikely(m->reset)) {
m->histogram.ext->used = 0;
statsd_reset_metric(m);
}
if(unlikely(value_is_zinit(value))) {
// magic loading of metric, without affecting anything
}
else {
NETDATA_DOUBLE v = statsd_parse_float(value, 1.0);
NETDATA_DOUBLE sampling_rate = statsd_parse_sampling_rate(sampling);
if(unlikely(isless(sampling_rate, 0.01))) sampling_rate = 0.01;
if(unlikely(isgreater(sampling_rate, 1.0))) sampling_rate = 1.0;
long long samples = llrintndd(1.0 / sampling_rate);
while(samples-- > 0) {
if(unlikely(m->histogram.ext->used == m->histogram.ext->size)) {
netdata_mutex_lock(&m->histogram.ext->mutex);
m->histogram.ext->size += statsd.histogram_increase_step;
m->histogram.ext->values = reallocz(m->histogram.ext->values, sizeof(NETDATA_DOUBLE) * m->histogram.ext->size);
netdata_mutex_unlock(&m->histogram.ext->mutex);
}
m->histogram.ext->values[m->histogram.ext->used++] = v;
}
m->events++;
m->count++;
}
}
#define statsd_process_timer(m, value, sampling) statsd_process_histogram_or_timer(m, value, sampling, "timer")
#define statsd_process_histogram(m, value, sampling) statsd_process_histogram_or_timer(m, value, sampling, "histogram")
static void dictionary_metric_set_value_insert_callback(const DICTIONARY_ITEM *item, void *value, void *data) {
(void)item;
(void)value;
STATSD_METRIC *m = (STATSD_METRIC *)data;
m->set.unique++;
}
static inline void statsd_process_set(STATSD_METRIC *m, const char *value) {
if(!is_metric_useful_for_collection(m)) return;
if(unlikely(!value || !*value)) {
error("STATSD: metric of type set, with empty value is ignored.");
return;
}
if(unlikely(m->reset)) {
if(likely(m->set.dict)) {
dictionary_destroy(m->set.dict);
m->set.dict = NULL;
}
statsd_reset_metric(m);
}
if (unlikely(!m->set.dict)) {
m->set.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS);
dictionary_register_insert_callback(m->set.dict, dictionary_metric_set_value_insert_callback, m);
m->set.unique = 0;
}
if(unlikely(value_is_zinit(value))) {
// magic loading of metric, without affecting anything
}
else {
#ifdef STATSD_MULTITHREADED
// avoid the write lock to check if something is already there
if(!dictionary_get(m->set.dict, value))
dictionary_set(m->set.dict, value, NULL, 0);
#else
dictionary_set(m->set.dict, value, NULL, 0);
#endif
m->events++;
m->count++;
}
}
static void dictionary_metric_dict_value_insert_callback(const DICTIONARY_ITEM *item, void *value, void *data) {
(void)item;
(void)value;
STATSD_METRIC *m = (STATSD_METRIC *)data;
m->dictionary.unique++;
}
static inline void statsd_process_dictionary(STATSD_METRIC *m, const char *value) {
if(!is_metric_useful_for_collection(m)) return;
if(unlikely(!value || !*value)) {
error("STATSD: metric of type set, with empty value is ignored.");
return;
}
if(unlikely(m->reset))
statsd_reset_metric(m);
if (unlikely(!m->dictionary.dict)) {
m->dictionary.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS);
dictionary_register_insert_callback(m->dictionary.dict, dictionary_metric_dict_value_insert_callback, m);
m->dictionary.unique = 0;
}
if(unlikely(value_is_zinit(value))) {
// magic loading of metric, without affecting anything
}
else {
STATSD_METRIC_DICTIONARY_ITEM *t = (STATSD_METRIC_DICTIONARY_ITEM *)dictionary_get(m->dictionary.dict, value);
if (unlikely(!t)) {
if(!t && m->dictionary.unique >= statsd.dictionary_max_unique)
value = "other";
t = (STATSD_METRIC_DICTIONARY_ITEM *)dictionary_set(m->dictionary.dict, value, NULL, sizeof(STATSD_METRIC_DICTIONARY_ITEM));
}
t->count++;
m->events++;
m->count++;
}
}
// --------------------------------------------------------------------------------------------------------------------
// statsd parsing
static inline const char *statsd_parse_skip_up_to(const char *s, char d1, char d2, char d3) {
char c;
for(c = *s; c && c != d1 && c != d2 && c != d3 && c != '\r' && c != '\n'; c = *++s) ;
return s;
}
const char *statsd_parse_skip_spaces(const char *s) {
char c;
for(c = *s; c && ( c == ' ' || c == '\t' || c == '\r' || c == '\n' ); c = *++s) ;
return s;
}
static inline const char *statsd_parse_field_trim(const char *start, char *end) {
if(unlikely(!start || !*start)) {
start = end;
return start;
}
while(start <= end && (*start == ' ' || *start == '\t'))
start++;
*end = '\0';
end--;
while(end >= start && (*end == ' ' || *end == '\t'))
*end-- = '\0';
return start;
}
static void statsd_process_metric(const char *name, const char *value, const char *type, const char *sampling, const char *tags) {
debug(D_STATSD, "STATSD: raw metric '%s', value '%s', type '%s', sampling '%s', tags '%s'", name?name:"(null)", value?value:"(null)", type?type:"(null)", sampling?sampling:"(null)", tags?tags:"(null)");
if(unlikely(!name || !*name)) return;
if(unlikely(!type || !*type)) type = "m";
STATSD_METRIC *m = NULL;
char t0 = type[0], t1 = type[1];
if(unlikely(t0 == 'g' && t1 == '\0')) {
statsd_process_gauge(
m = statsd_find_or_add_metric(&statsd.gauges, name),
value, sampling);
}
else if(unlikely((t0 == 'c' || t0 == 'C') && t1 == '\0')) {
// etsy/statsd uses 'c'
// brubeck uses 'C'
statsd_process_counter(
m = statsd_find_or_add_metric(&statsd.counters, name),
value, sampling);
}
else if(unlikely(t0 == 'm' && t1 == '\0')) {
statsd_process_meter(
m = statsd_find_or_add_metric(&statsd.meters, name),
value, sampling);
}
else if(unlikely(t0 == 'h' && t1 == '\0')) {
statsd_process_histogram(
m = statsd_find_or_add_metric(&statsd.histograms, name),
value, sampling);
}
else if(unlikely(t0 == 's' && t1 == '\0')) {
statsd_process_set(
m = statsd_find_or_add_metric(&statsd.sets, name),
value);
}
else if(unlikely(t0 == 'd' && t1 == '\0')) {
statsd_process_dictionary(
m = statsd_find_or_add_metric(&statsd.dictionaries, name),
value);
}
else if(unlikely(t0 == 'm' && t1 == 's' && type[2] == '\0')) {
statsd_process_timer(
m = statsd_find_or_add_metric(&statsd.timers, name),
value, sampling);
}
else {
statsd.unknown_types++;
error("STATSD: metric '%s' with value '%s' is sent with unknown metric type '%s'", name, value?value:"", type);
}
if(m && tags && *tags) {
const char *s = tags;
while(*s) {
const char *tagkey = NULL, *tagvalue = NULL;
char *tagkey_end = NULL, *tagvalue_end = NULL;
s = tagkey_end = (char *)statsd_parse_skip_up_to(tagkey = s, ':', '=', ',');
if(tagkey == tagkey_end) {
if (*s) {
s++;
s = statsd_parse_skip_spaces(s);
}
continue;
}
if(likely(*s == ':' || *s == '='))
s = tagvalue_end = (char *) statsd_parse_skip_up_to(tagvalue = ++s, ',', '\0', '\0');
if(*s == ',') s++;
statsd_parse_field_trim(tagkey, tagkey_end);
statsd_parse_field_trim(tagvalue, tagvalue_end);
if(tagkey && *tagkey && tagvalue && *tagvalue) {
if (!m->units && strcmp(tagkey, "units") == 0)
m->units = strdupz(tagvalue);
if (!m->dimname && strcmp(tagkey, "name") == 0)
m->dimname = strdupz(tagvalue);
if (!m->family && strcmp(tagkey, "family") == 0)
m->family = strdupz(tagvalue);
}
}
}
}
static inline size_t statsd_process(char *buffer, size_t size, int require_newlines) {
buffer[size] = '\0';
debug(D_STATSD, "RECEIVED: %zu bytes: '%s'", size, buffer);
const char *s = buffer;
while(*s) {
const char *name = NULL, *value = NULL, *type = NULL, *sampling = NULL, *tags = NULL;
char *name_end = NULL, *value_end = NULL, *type_end = NULL, *sampling_end = NULL, *tags_end = NULL;
s = name_end = (char *)statsd_parse_skip_up_to(name = s, ':', '=', '|');
if(name == name_end) {
if (*s) {
s++;
s = statsd_parse_skip_spaces(s);
}
continue;
}
if(likely(*s == ':' || *s == '='))
s = value_end = (char *) statsd_parse_skip_up_to(value = ++s, '|', '@', '#');
if(likely(*s == '|'))
s = type_end = (char *) statsd_parse_skip_up_to(type = ++s, '|', '@', '#');
while(*s == '|' || *s == '@' || *s == '#') {
// parse all the fields that may be appended
if ((*s == '|' && s[1] == '@') || *s == '@') {
s = sampling_end = (char *)statsd_parse_skip_up_to(sampling = ++s, '|', '@', '#');
if (*sampling == '@') sampling++;
}
else if ((*s == '|' && s[1] == '#') || *s == '#') {
s = tags_end = (char *)statsd_parse_skip_up_to(tags = ++s, '|', '@', '#');
if (*tags == '#') tags++;
}
else {
// unknown field, skip it
s = (char *)statsd_parse_skip_up_to(++s, '|', '@', '#');
}
}
// skip everything until the end of the line
while(*s && *s != '\n') s++;
if(unlikely(require_newlines && *s != '\n' && s > buffer)) {
// move the remaining data to the beginning
size -= (name - buffer);
memmove(buffer, name, size);
return size;
}
else
s = statsd_parse_skip_spaces(s);
statsd_process_metric(
statsd_parse_field_trim(name, name_end)
, statsd_parse_field_trim(value, value_end)
, statsd_parse_field_trim(type, type_end)
, statsd_parse_field_trim(sampling, sampling_end)
, statsd_parse_field_trim(tags, tags_end)
);
}
return 0;
}
// --------------------------------------------------------------------------------------------------------------------
// statsd pollfd interface
#define STATSD_TCP_BUFFER_SIZE 65536 // minimize tcp reads
#define STATSD_UDP_BUFFER_SIZE 9000 // this should be up to MTU
typedef enum {
STATSD_SOCKET_DATA_TYPE_TCP,
STATSD_SOCKET_DATA_TYPE_UDP
} STATSD_SOCKET_DATA_TYPE;
struct statsd_tcp {
STATSD_SOCKET_DATA_TYPE type;
size_t size;
size_t len;
char buffer[];
};
#ifdef HAVE_RECVMMSG
struct statsd_udp {
int *running;
STATSD_SOCKET_DATA_TYPE type;
size_t size;
struct iovec *iovecs;
struct mmsghdr *msgs;
};
#else
struct statsd_udp {
int *running;
STATSD_SOCKET_DATA_TYPE type;
char buffer[STATSD_UDP_BUFFER_SIZE];
};
#endif
// new TCP client connected
static void *statsd_add_callback(POLLINFO *pi, short int *events, void *data) {
(void)pi;
(void)data;
worker_is_busy(WORKER_JOB_TYPE_TCP_CONNECTED);
*events = POLLIN;
struct statsd_tcp *t = (struct statsd_tcp *)callocz(sizeof(struct statsd_tcp) + STATSD_TCP_BUFFER_SIZE, 1);
t->type = STATSD_SOCKET_DATA_TYPE_TCP;
t->size = STATSD_TCP_BUFFER_SIZE - 1;
statsd.tcp_socket_connects++;
statsd.tcp_socket_connected++;
worker_is_idle();
return t;
}
// TCP client disconnected
static void statsd_del_callback(POLLINFO *pi) {
worker_is_busy(WORKER_JOB_TYPE_TCP_DISCONNECTED);
struct statsd_tcp *t = pi->data;
if(likely(t)) {
if(t->type == STATSD_SOCKET_DATA_TYPE_TCP) {
if(t->len != 0) {
statsd.socket_errors++;
error("STATSD: client is probably sending unterminated metrics. Closed socket left with '%s'. Trying to process it.", t->buffer);
statsd_process(t->buffer, t->len, 0);
}
statsd.tcp_socket_disconnects++;
statsd.tcp_socket_connected--;
}
else
error("STATSD: internal error: received socket data type is %d, but expected %d", (int)t->type, (int)STATSD_SOCKET_DATA_TYPE_TCP);
freez(t);
}
worker_is_idle();
}
// Receive data
static int statsd_rcv_callback(POLLINFO *pi, short int *events) {
int retval = -1;
worker_is_busy(WORKER_JOB_TYPE_RCV_DATA);
*events = POLLIN;
int fd = pi->fd;
switch(pi->socktype) {
case SOCK_STREAM: {
struct statsd_tcp *d = (struct statsd_tcp *)pi->data;
if(unlikely(!d)) {
error("STATSD: internal error: expected TCP data pointer is NULL");
statsd.socket_errors++;
retval = -1;
goto cleanup;
}
#ifdef NETDATA_INTERNAL_CHECKS
if(unlikely(d->type != STATSD_SOCKET_DATA_TYPE_TCP)) {
error("STATSD: internal error: socket data type should be %d, but it is %d", (int)STATSD_SOCKET_DATA_TYPE_TCP, (int)d->type);
statsd.socket_errors++;
retval = -1;
goto cleanup;
}
#endif
int ret = 0;
ssize_t rc;
do {
rc = recv(fd, &d->buffer[d->len], d->size - d->len, MSG_DONTWAIT);
if (rc < 0) {
// read failed
if (errno != EWOULDBLOCK && errno != EAGAIN && errno != EINTR) {
error("STATSD: recv() on TCP socket %d failed.", fd);
statsd.socket_errors++;
ret = -1;
}
}
else if (!rc) {
// connection closed
debug(D_STATSD, "STATSD: client disconnected.");
ret = -1;
}
else {
// data received
d->len += rc;
statsd.tcp_socket_reads++;
statsd.tcp_bytes_read += rc;
}
if(likely(d->len > 0)) {
statsd.tcp_packets_received++;
d->len = statsd_process(d->buffer, d->len, 1);
}
if(unlikely(ret == -1)) {
retval = -1;
goto cleanup;
}
} while (rc != -1);
break;
}
case SOCK_DGRAM: {
struct statsd_udp *d = (struct statsd_udp *)pi->data;
if(unlikely(!d)) {
error("STATSD: internal error: expected UDP data pointer is NULL");
statsd.socket_errors++;
retval = -1;
goto cleanup;
}
#ifdef NETDATA_INTERNAL_CHECKS
if(unlikely(d->type != STATSD_SOCKET_DATA_TYPE_UDP)) {
error("STATSD: internal error: socket data should be %d, but it is %d", (int)d->type, (int)STATSD_SOCKET_DATA_TYPE_UDP);
statsd.socket_errors++;
retval = -1;
goto cleanup;
}
#endif
#ifdef HAVE_RECVMMSG
ssize_t rc;
do {
rc = recvmmsg(fd, d->msgs, (unsigned int)d->size, MSG_DONTWAIT, NULL);
if (rc < 0) {
// read failed
if (errno != EWOULDBLOCK && errno != EAGAIN && errno != EINTR) {
error("STATSD: recvmmsg() on UDP socket %d failed.", fd);
statsd.socket_errors++;
retval = -1;
goto cleanup;
}
} else if (rc) {
// data received
statsd.udp_socket_reads++;
statsd.udp_packets_received += rc;
size_t i;
for (i = 0; i < (size_t)rc; ++i) {
size_t len = (size_t)d->msgs[i].msg_len;
statsd.udp_bytes_read += len;
statsd_process(d->msgs[i].msg_hdr.msg_iov->iov_base, len, 0);
}
}
} while (rc != -1);
#else // !HAVE_RECVMMSG
ssize_t rc;
do {
rc = recv(fd, d->buffer, STATSD_UDP_BUFFER_SIZE - 1, MSG_DONTWAIT);
if (rc < 0) {
// read failed
if (errno != EWOULDBLOCK && errno != EAGAIN && errno != EINTR) {
error("STATSD: recv() on UDP socket %d failed.", fd);
statsd.socket_errors++;
retval = -1;
goto cleanup;
}
} else if (rc) {
// data received
statsd.udp_socket_reads++;
statsd.udp_packets_received++;
statsd.udp_bytes_read += rc;
statsd_process(d->buffer, (size_t) rc, 0);
}
} while (rc != -1);
#endif
break;
}
default: {
error("STATSD: internal error: unknown socktype %d on socket %d", pi->socktype, fd);
statsd.socket_errors++;
retval = -1;
goto cleanup;
}
}
retval = 0;
cleanup:
worker_is_idle();
return retval;
}
static int statsd_snd_callback(POLLINFO *pi, short int *events) {
(void)pi;
(void)events;
worker_is_busy(WORKER_JOB_TYPE_SND_DATA);
error("STATSD: snd_callback() called, but we never requested to send data to statsd clients.");
worker_is_idle();
return -1;
}
// --------------------------------------------------------------------------------------------------------------------
// statsd child thread to collect metrics from network
void statsd_collector_thread_cleanup(void *data) {
struct statsd_udp *d = data;
*d->running = 0;
info("cleaning up...");
#ifdef HAVE_RECVMMSG
size_t i;
for (i = 0; i < d->size; i++)
freez(d->iovecs[i].iov_base);
freez(d->iovecs);
freez(d->msgs);
#endif
freez(d);
worker_unregister();
}
void *statsd_collector_thread(void *ptr) {
struct collection_thread_status *status = ptr;
status->status = 1;
worker_register("STATSD");
worker_register_job_name(WORKER_JOB_TYPE_TCP_CONNECTED, "tcp connect");
worker_register_job_name(WORKER_JOB_TYPE_TCP_DISCONNECTED, "tcp disconnect");
worker_register_job_name(WORKER_JOB_TYPE_RCV_DATA, "receive");
worker_register_job_name(WORKER_JOB_TYPE_SND_DATA, "send");
info("STATSD collector thread started with taskid %d", gettid());
struct statsd_udp *d = callocz(sizeof(struct statsd_udp), 1);
d->running = &status->status;
netdata_thread_cleanup_push(statsd_collector_thread_cleanup, d);
#ifdef HAVE_RECVMMSG
d->type = STATSD_SOCKET_DATA_TYPE_UDP;
d->size = statsd.recvmmsg_size;
d->iovecs = callocz(sizeof(struct iovec), d->size);
d->msgs = callocz(sizeof(struct mmsghdr), d->size);
size_t i;
for (i = 0; i < d->size; i++) {
d->iovecs[i].iov_base = mallocz(STATSD_UDP_BUFFER_SIZE);
d->iovecs[i].iov_len = STATSD_UDP_BUFFER_SIZE - 1;
d->msgs[i].msg_hdr.msg_iov = &d->iovecs[i];
d->msgs[i].msg_hdr.msg_iovlen = 1;
}
#endif
poll_events(&statsd.sockets
, statsd_add_callback
, statsd_del_callback
, statsd_rcv_callback
, statsd_snd_callback
, NULL
, NULL // No access control pattern
, 0 // No dns lookups for access control pattern
, (void *)d
, 0 // tcp request timeout, 0 = disabled
, statsd.tcp_idle_timeout // tcp idle timeout, 0 = disabled
, statsd.update_every * 1000
, ptr // timer_data
, status->max_sockets
);
netdata_thread_cleanup_pop(1);
return NULL;
}
// --------------------------------------------------------------------------------------------------------------------
// statsd applications configuration files parsing
#define STATSD_CONF_LINE_MAX 8192
static STATSD_APP_CHART_DIM_VALUE_TYPE string2valuetype(const char *type, size_t line, const char *filename) {
if(!type || !*type) type = "last";
if(!strcmp(type, "events")) return STATSD_APP_CHART_DIM_VALUE_TYPE_EVENTS;
else if(!strcmp(type, "last")) return STATSD_APP_CHART_DIM_VALUE_TYPE_LAST;
else if(!strcmp(type, "min")) return STATSD_APP_CHART_DIM_VALUE_TYPE_MIN;
else if(!strcmp(type, "max")) return STATSD_APP_CHART_DIM_VALUE_TYPE_MAX;
else if(!strcmp(type, "sum")) return STATSD_APP_CHART_DIM_VALUE_TYPE_SUM;
else if(!strcmp(type, "average")) return STATSD_APP_CHART_DIM_VALUE_TYPE_AVERAGE;
else if(!strcmp(type, "median")) return STATSD_APP_CHART_DIM_VALUE_TYPE_MEDIAN;
else if(!strcmp(type, "stddev")) return STATSD_APP_CHART_DIM_VALUE_TYPE_STDDEV;
else if(!strcmp(type, "percentile")) return STATSD_APP_CHART_DIM_VALUE_TYPE_PERCENTILE;
error("STATSD: invalid type '%s' at line %zu of file '%s'. Using 'last'.", type, line, filename);
return STATSD_APP_CHART_DIM_VALUE_TYPE_LAST;
}
static const char *valuetype2string(STATSD_APP_CHART_DIM_VALUE_TYPE type) {
switch(type) {
case STATSD_APP_CHART_DIM_VALUE_TYPE_EVENTS: return "events";
case STATSD_APP_CHART_DIM_VALUE_TYPE_LAST: return "last";
case STATSD_APP_CHART_DIM_VALUE_TYPE_MIN: return "min";
case STATSD_APP_CHART_DIM_VALUE_TYPE_MAX: return "max";
case STATSD_APP_CHART_DIM_VALUE_TYPE_SUM: return "sum";
case STATSD_APP_CHART_DIM_VALUE_TYPE_AVERAGE: return "average";
case STATSD_APP_CHART_DIM_VALUE_TYPE_MEDIAN: return "median";
case STATSD_APP_CHART_DIM_VALUE_TYPE_STDDEV: return "stddev";
case STATSD_APP_CHART_DIM_VALUE_TYPE_PERCENTILE: return "percentile";
}
return "unknown";
}
static STATSD_APP_CHART_DIM *add_dimension_to_app_chart(
STATSD_APP *app __maybe_unused
, STATSD_APP_CHART *chart
, const char *metric_name
, const char *dim_name
, collected_number multiplier
, collected_number divisor
, RRDDIM_FLAGS flags
, RRDDIM_OPTIONS options
, STATSD_APP_CHART_DIM_VALUE_TYPE value_type
) {
STATSD_APP_CHART_DIM *dim = callocz(sizeof(STATSD_APP_CHART_DIM), 1);
dim->metric = strdupz(metric_name);
dim->metric_hash = simple_hash(dim->metric);
dim->name = strdupz((dim_name)?dim_name:"");
dim->multiplier = multiplier;
dim->divisor = divisor;
dim->value_type = value_type;
dim->flags = flags;
dim->options = options;
if(!dim->multiplier)
dim->multiplier = 1;
if(!dim->divisor)
dim->divisor = 1;
// append it to the list of dimension
STATSD_APP_CHART_DIM *tdim;
for(tdim = chart->dimensions; tdim && tdim->next ; tdim = tdim->next) ;
if(!tdim) {
dim->next = chart->dimensions;
chart->dimensions = dim;
}
else {
dim->next = tdim->next;
tdim->next = dim;
}
chart->dimensions_count++;
debug(D_STATSD, "Added dimension '%s' to chart '%s' of app '%s', for metric '%s', with type %u, multiplier " COLLECTED_NUMBER_FORMAT ", divisor " COLLECTED_NUMBER_FORMAT,
dim->name, chart->id, app->name, dim->metric, dim->value_type, dim->multiplier, dim->divisor);
return dim;
}
static int statsd_readfile(const char *filename, STATSD_APP *app, STATSD_APP_CHART *chart, DICTIONARY *dict) {
debug(D_STATSD, "STATSD configuration reading file '%s'", filename);
char *buffer = mallocz(STATSD_CONF_LINE_MAX + 1);
FILE *fp = fopen(filename, "r");
if(!fp) {
error("STATSD: cannot open file '%s'.", filename);
freez(buffer);
return -1;
}
size_t line = 0;
char *s;
while(fgets(buffer, STATSD_CONF_LINE_MAX, fp) != NULL) {
buffer[STATSD_CONF_LINE_MAX] = '\0';
line++;
s = trim(buffer);
if (!s || *s == '#') {
debug(D_STATSD, "STATSD: ignoring line %zu of file '%s', it is empty.", line, filename);
continue;
}
debug(D_STATSD, "STATSD: processing line %zu of file '%s': %s", line, filename, buffer);
if(*s == 'i' && strncmp(s, "include", 7) == 0) {
s = trim(&s[7]);
if(s && *s) {
char *tmp;
if(*s == '/')
tmp = strdupz(s);
else {
// the file to be included is relative to current file
// find the directory name from the file we already read
char *filename2 = strdupz(filename); // copy filename, since dirname() will change it
char *dir = dirname(filename2); // find the directory part of the filename
tmp = strdupz_path_subpath(dir, s); // compose the new filename to read;
freez(filename2); // free the filename we copied
}
statsd_readfile(tmp, app, chart, dict);
freez(tmp);
}
else
error("STATSD: ignoring line %zu of file '%s', include filename is empty", line, filename);
continue;
}
int len = (int) strlen(s);
if (*s == '[' && s[len - 1] == ']') {
// new section
s[len - 1] = '\0';
s++;
if (!strcmp(s, "app")) {
// a new app
app = callocz(sizeof(STATSD_APP), 1);
app->name = strdupz("unnamed");
app->rrd_memory_mode = localhost->rrd_memory_mode;
app->rrd_history_entries = localhost->rrd_history_entries;
app->next = statsd.apps;
statsd.apps = app;
chart = NULL;
dict = NULL;
{
char lineandfile[FILENAME_MAX + 1];
snprintfz(lineandfile, FILENAME_MAX, "%zu@%s", line, filename);
app->source = strdupz(lineandfile);
}
}
else if(app) {
if(!strcmp(s, "dictionary")) {
if(!app->dict)
app->dict = dictionary_create(DICT_OPTION_SINGLE_THREADED);
dict = app->dict;
}
else {
dict = NULL;
// a new chart
chart = callocz(sizeof(STATSD_APP_CHART), 1);
netdata_fix_chart_id(s);
chart->id = strdupz(s);
chart->name = strdupz(s);
chart->title = strdupz("Statsd chart");
chart->context = strdupz(s);
chart->family = strdupz("overview");
chart->units = strdupz("value");
chart->priority = NETDATA_CHART_PRIO_STATSD_PRIVATE;
chart->chart_type = RRDSET_TYPE_LINE;
chart->next = app->charts;
app->charts = chart;
if (!strncmp(
filename,
netdata_configured_stock_config_dir,
strlen(netdata_configured_stock_config_dir))) {
char tmpfilename[FILENAME_MAX + 1];
strncpyz(tmpfilename, filename, FILENAME_MAX);
chart->module = strdupz(basename(tmpfilename));
} else {
chart->module = strdupz("synthetic_chart");
}
}
}
else
error("STATSD: ignoring line %zu ('%s') of file '%s', [app] is not defined.", line, s, filename);
continue;
}
if(!app) {
error("STATSD: ignoring line %zu ('%s') of file '%s', it is outside all sections.", line, s, filename);
continue;
}
char *name = s;
char *value = strchr(s, '=');
if(!value) {
error("STATSD: ignoring line %zu ('%s') of file '%s', there is no = in it.", line, s, filename);
continue;
}
*value = '\0';
value++;
name = trim(name);
value = trim(value);
if(!name || *name == '#') {
error("STATSD: ignoring line %zu of file '%s', name is empty.", line, filename);
continue;
}
if(!value) {
debug(D_CONFIG, "STATSD: ignoring line %zu of file '%s', value is empty.", line, filename);
continue;
}
if(unlikely(dict)) {
// parse [dictionary] members
dictionary_set(dict, name, value, strlen(value) + 1);
}
else if(!chart) {
// parse [app] members
if(!strcmp(name, "name")) {
freez((void *)app->name);
netdata_fix_chart_name(value);
app->name = strdupz(value);
}
else if (!strcmp(name, "metrics")) {
simple_pattern_free(app->metrics);
app->metrics = simple_pattern_create(value, NULL, SIMPLE_PATTERN_EXACT);
}
else if (!strcmp(name, "private charts")) {
if (!strcmp(value, "yes") || !strcmp(value, "on"))
app->default_options |= STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED;
else
app->default_options &= ~STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED;
}
else if (!strcmp(name, "gaps when not collected")) {
if (!strcmp(value, "yes") || !strcmp(value, "on"))
app->default_options |= STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED;
}
else if (!strcmp(name, "memory mode")) {
app->rrd_memory_mode = rrd_memory_mode_id(value);
}
else if (!strcmp(name, "history")) {
app->rrd_history_entries = atol(value);
if (app->rrd_history_entries < 5)
app->rrd_history_entries = 5;
}
else {
error("STATSD: ignoring line %zu ('%s') of file '%s'. Unknown keyword for the [app] section.", line, name, filename);
continue;
}
}
else {
// parse [chart] members
if(!strcmp(name, "name")) {
freez((void *)chart->name);
netdata_fix_chart_id(value);
chart->name = strdupz(value);
}
else if(!strcmp(name, "title")) {
freez((void *)chart->title);
chart->title = strdupz(value);
}
else if (!strcmp(name, "family")) {
freez((void *)chart->family);
chart->family = strdupz(value);
}
else if (!strcmp(name, "context")) {
freez((void *)chart->context);
netdata_fix_chart_id(value);
chart->context = strdupz(value);
}
else if (!strcmp(name, "units")) {
freez((void *)chart->units);
chart->units = strdupz(value);
}
else if (!strcmp(name, "priority")) {
chart->priority = atol(value);
}
else if (!strcmp(name, "type")) {
chart->chart_type = rrdset_type_id(value);
}
else if (!strcmp(name, "dimension")) {
// metric [name [type [multiplier [divisor]]]]
char *words[10];
pluginsd_split_words(value, words, 10, NULL, NULL, 0);
int pattern = 0;
size_t i = 0;
char *metric_name = words[i++];
if(strcmp(metric_name, "pattern") == 0) {
metric_name = words[i++];
pattern = 1;
}
char *dim_name = words[i++];
char *type = words[i++];
char *multiplier = words[i++];
char *divisor = words[i++];
char *opts = words[i++];
RRDDIM_FLAGS flags = RRDDIM_FLAG_NONE;
RRDDIM_OPTIONS options = RRDDIM_OPTION_NONE;
if(opts && *opts) {
if(strstr(opts, "hidden") != NULL) options |= RRDDIM_OPTION_HIDDEN;
if(strstr(opts, "noreset") != NULL) options |= RRDDIM_OPTION_DONT_DETECT_RESETS_OR_OVERFLOWS;
if(strstr(opts, "nooverflow") != NULL) options |= RRDDIM_OPTION_DONT_DETECT_RESETS_OR_OVERFLOWS;
}
if(!pattern) {
if(app->dict) {
if(dim_name && *dim_name) {
char *n = dictionary_get(app->dict, dim_name);
if(n) dim_name = n;
}
else {
dim_name = dictionary_get(app->dict, metric_name);
}
}
if(!dim_name || !*dim_name)
dim_name = metric_name;
}
STATSD_APP_CHART_DIM *dim = add_dimension_to_app_chart(
app
, chart
, metric_name
, dim_name
, (multiplier && *multiplier)?str2l(multiplier):1
, (divisor && *divisor)?str2l(divisor):1
, flags
,
options, string2valuetype(type, line, filename)
);
if(pattern)
dim->metric_pattern = simple_pattern_create(dim->metric, NULL, SIMPLE_PATTERN_EXACT);
}
else {
error("STATSD: ignoring line %zu ('%s') of file '%s'. Unknown keyword for the [%s] section.", line, name, filename, chart->id);
continue;
}
}
}
freez(buffer);
fclose(fp);
return 0;
}
static int statsd_file_callback(const char *filename, void *data) {
(void)data;
return statsd_readfile(filename, NULL, NULL, NULL);
}
static inline void statsd_readdir(const char *user_path, const char *stock_path, const char *subpath) {
recursive_config_double_dir_load(user_path, stock_path, subpath, statsd_file_callback, NULL, 0);
}
// --------------------------------------------------------------------------------------------------------------------
// send metrics to netdata - in private charts - called from the main thread
// extract chart type and chart id from metric name
static inline void statsd_get_metric_type_and_id(STATSD_METRIC *m, char *type, char *id, char *context, const char *metrictype, size_t len) {
// The full chart type.id looks like this:
// ${STATSD_CHART_PREFIX} + "_" + ${METRIC_NAME} + "_" + ${METRIC_TYPE}
//
// where:
// STATSD_CHART_PREFIX = "statsd" as defined above
// METRIC_NAME = whatever the user gave to statsd
// METRIC_TYPE = "gauge", "counter", "meter", "timer", "histogram", "set", "dictionary"
// for chart type, we want:
// ${STATSD_CHART_PREFIX} + "_" + the first word of ${METRIC_NAME}
// find the first word of ${METRIC_NAME}
char firstword[len + 1], *s = "";
strncpyz(firstword, m->name, len);
for (s = firstword; *s ; s++) {
if (unlikely(*s == '.' || *s == '_')) {
*s = '\0';
s++;
break;
}
}
// firstword has the first word of ${METRIC_NAME}
// s has the remaining, if any
// create the chart type:
snprintfz(type, len, STATSD_CHART_PREFIX "_%s", firstword);
// for chart id, we want:
// the remaining of the words of ${METRIC_NAME} + "_" + ${METRIC_TYPE}
// or the ${METRIC_NAME} has no remaining words, the ${METRIC_TYPE} alone
if(*s)
snprintfz(id, len, "%s_%s", s, metrictype);
else
snprintfz(id, len, "%s", metrictype);
// for the context, we want the full of both the above, separated with a dot (type.id):
snprintfz(context, RRD_ID_LENGTH_MAX, "%s.%s", type, id);
// make sure they don't have illegal characters
netdata_fix_chart_id(type);
netdata_fix_chart_id(id);
netdata_fix_chart_id(context);
}
static inline RRDSET *statsd_private_rrdset_create(
STATSD_METRIC *m __maybe_unused
, const char *type
, const char *id
, const char *name
, const char *family
, const char *context
, const char *title
, const char *units
, long priority
, int update_every
, RRDSET_TYPE chart_type
) {
statsd.private_charts++;
RRDSET *st = rrdset_create_custom(
localhost // host
, type // type
, id // id
, name // name
, family // family
, context // context
, title // title
, units // units
, PLUGIN_STATSD_NAME // plugin
, "private_chart" // module
, priority // priority
, update_every // update every
, chart_type // chart type
, default_rrd_memory_mode // memory mode
, default_rrd_history_entries // history
);
rrdset_flag_set(st, RRDSET_FLAG_STORE_FIRST);
if(statsd.private_charts_hidden)
rrdset_flag_set(st, RRDSET_FLAG_HIDDEN);
// rrdset_flag_set(st, RRDSET_FLAG_DEBUG);
return st;
}
static inline void statsd_private_chart_gauge(STATSD_METRIC *m) {
debug(D_STATSD, "updating private chart for gauge metric '%s'", m->name);
if(unlikely(!m->st)) {
char type[RRD_ID_LENGTH_MAX + 1], id[RRD_ID_LENGTH_MAX + 1], context[RRD_ID_LENGTH_MAX + 1];
statsd_get_metric_type_and_id(m, type, id, context, "gauge", RRD_ID_LENGTH_MAX);
char title[RRD_ID_LENGTH_MAX + 1];
snprintfz(title, RRD_ID_LENGTH_MAX, "statsd private chart for gauge %s", m->name);
m->st = statsd_private_rrdset_create(
m
, type
, id
, NULL // name
, m->family?m->family:"gauges" // family (submenu)
, context // context
, title // title
, m->units?m->units:"value" // units
, NETDATA_CHART_PRIO_STATSD_PRIVATE
, statsd.update_every
, RRDSET_TYPE_LINE
);
m->rd_value = rrddim_add(m->st, "gauge", m->dimname?m->dimname:NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE);
if(m->options & STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT)
m->rd_count = rrddim_add(m->st, "events", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
}
else rrdset_next(m->st);
rrddim_set_by_pointer(m->st, m->rd_value, m->last);
if(m->rd_count)
rrddim_set_by_pointer(m->st, m->rd_count, m->events);
rrdset_done(m->st);
}
static inline void statsd_private_chart_counter_or_meter(STATSD_METRIC *m, const char *dim, const char *family) {
debug(D_STATSD, "updating private chart for %s metric '%s'", dim, m->name);
if(unlikely(!m->st)) {
char type[RRD_ID_LENGTH_MAX + 1], id[RRD_ID_LENGTH_MAX + 1], context[RRD_ID_LENGTH_MAX + 1];
statsd_get_metric_type_and_id(m, type, id, context, dim, RRD_ID_LENGTH_MAX);
char title[RRD_ID_LENGTH_MAX + 1];
snprintfz(title, RRD_ID_LENGTH_MAX, "statsd private chart for %s %s", dim, m->name);
m->st = statsd_private_rrdset_create(
m
, type
, id
, NULL // name
, m->family?m->family:family // family (submenu)
, context // context
, title // title
, m->units?m->units:"events/s" // units
, NETDATA_CHART_PRIO_STATSD_PRIVATE
, statsd.update_every
, RRDSET_TYPE_AREA
);
m->rd_value = rrddim_add(m->st, dim, m->dimname?m->dimname:NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
if(m->options & STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT)
m->rd_count = rrddim_add(m->st, "events", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
}
else rrdset_next(m->st);
rrddim_set_by_pointer(m->st, m->rd_value, m->last);
if(m->rd_count)
rrddim_set_by_pointer(m->st, m->rd_count, m->events);
rrdset_done(m->st);
}
static inline void statsd_private_chart_set(STATSD_METRIC *m) {
debug(D_STATSD, "updating private chart for set metric '%s'", m->name);
if(unlikely(!m->st)) {
char type[RRD_ID_LENGTH_MAX + 1], id[RRD_ID_LENGTH_MAX + 1], context[RRD_ID_LENGTH_MAX + 1];
statsd_get_metric_type_and_id(m, type, id, context, "set", RRD_ID_LENGTH_MAX);
char title[RRD_ID_LENGTH_MAX + 1];
snprintfz(title, RRD_ID_LENGTH_MAX, "statsd private chart for set %s", m->name);
m->st = statsd_private_rrdset_create(
m
, type
, id
, NULL // name
, m->family?m->family:"sets" // family (submenu)
, context // context
, title // title
, m->units?m->units:"entries" // units
, NETDATA_CHART_PRIO_STATSD_PRIVATE
, statsd.update_every
, RRDSET_TYPE_LINE
);
m->rd_value = rrddim_add(m->st, "set", m->dimname?m->dimname:"unique", 1, 1, RRD_ALGORITHM_ABSOLUTE);
if(m->options & STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT)
m->rd_count = rrddim_add(m->st, "events", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
}
else rrdset_next(m->st);
rrddim_set_by_pointer(m->st, m->rd_value, m->last);
if(m->rd_count)
rrddim_set_by_pointer(m->st, m->rd_count, m->events);
rrdset_done(m->st);
}
static inline void statsd_private_chart_dictionary(STATSD_METRIC *m) {
debug(D_STATSD, "updating private chart for dictionary metric '%s'", m->name);
if(unlikely(!m->st)) {
char type[RRD_ID_LENGTH_MAX + 1], id[RRD_ID_LENGTH_MAX + 1], context[RRD_ID_LENGTH_MAX + 1];
statsd_get_metric_type_and_id(m, type, id, context, "dictionary", RRD_ID_LENGTH_MAX);
char title[RRD_ID_LENGTH_MAX + 1];
snprintfz(title, RRD_ID_LENGTH_MAX, "statsd private chart for dictionary %s", m->name);
m->st = statsd_private_rrdset_create(
m
, type
, id
, NULL // name
, m->family?m->family:"dictionaries" // family (submenu)
, context // context
, title // title
, m->units?m->units:"events/s" // units
, NETDATA_CHART_PRIO_STATSD_PRIVATE
, statsd.update_every
, RRDSET_TYPE_STACKED
);
if(m->options & STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT)
m->rd_count = rrddim_add(m->st, "events", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
}
else rrdset_next(m->st);
STATSD_METRIC_DICTIONARY_ITEM *t;
dfe_start_read(m->dictionary.dict, t) {
if (!t->rd) t->rd = rrddim_add(m->st, t_dfe.name, NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
rrddim_set_by_pointer(m->st, t->rd, (collected_number)t->count);
}
dfe_done(t);
if(m->rd_count)
rrddim_set_by_pointer(m->st, m->rd_count, m->events);
rrdset_done(m->st);
}
static inline void statsd_private_chart_timer_or_histogram(STATSD_METRIC *m, const char *dim, const char *family, const char *units) {
debug(D_STATSD, "updating private chart for %s metric '%s'", dim, m->name);
if(unlikely(!m->st)) {
char type[RRD_ID_LENGTH_MAX + 1], id[RRD_ID_LENGTH_MAX + 1], context[RRD_ID_LENGTH_MAX + 1];
statsd_get_metric_type_and_id(m, type, id, context, dim, RRD_ID_LENGTH_MAX);
char title[RRD_ID_LENGTH_MAX + 1];
snprintfz(title, RRD_ID_LENGTH_MAX, "statsd private chart for %s %s", dim, m->name);
m->st = statsd_private_rrdset_create(
m
, type
, id
, NULL // name
, m->family?m->family:family // family (submenu)
, context // context
, title // title
, m->units?m->units:units // units
, NETDATA_CHART_PRIO_STATSD_PRIVATE
, statsd.update_every
, RRDSET_TYPE_AREA
);
m->histogram.ext->rd_min = rrddim_add(m->st, "min", NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE);
m->histogram.ext->rd_max = rrddim_add(m->st, "max", NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE);
m->rd_value = rrddim_add(m->st, "average", NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE);
m->histogram.ext->rd_percentile = rrddim_add(m->st, statsd.histogram_percentile_str, NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE);
m->histogram.ext->rd_median = rrddim_add(m->st, "median", NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE);
m->histogram.ext->rd_stddev = rrddim_add(m->st, "stddev", NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE);
//m->histogram.ext->rd_sum = rrddim_add(m->st, "sum", NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE);
if(m->options & STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT)
m->rd_count = rrddim_add(m->st, "events", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
}
else rrdset_next(m->st);
rrddim_set_by_pointer(m->st, m->histogram.ext->rd_min, m->histogram.ext->last_min);
rrddim_set_by_pointer(m->st, m->histogram.ext->rd_max, m->histogram.ext->last_max);
rrddim_set_by_pointer(m->st, m->histogram.ext->rd_percentile, m->histogram.ext->last_percentile);
rrddim_set_by_pointer(m->st, m->histogram.ext->rd_median, m->histogram.ext->last_median);
rrddim_set_by_pointer(m->st, m->histogram.ext->rd_stddev, m->histogram.ext->last_stddev);
//rrddim_set_by_pointer(m->st, m->histogram.ext->rd_sum, m->histogram.ext->last_sum);
rrddim_set_by_pointer(m->st, m->rd_value, m->last);
if(m->rd_count)
rrddim_set_by_pointer(m->st, m->rd_count, m->events);
rrdset_done(m->st);
}
// --------------------------------------------------------------------------------------------------------------------
// statsd flush metrics
static inline void statsd_flush_gauge(STATSD_METRIC *m) {
debug(D_STATSD, "flushing gauge metric '%s'", m->name);
int updated = 0;
if(unlikely(!m->reset && m->count)) {
m->last = (collected_number) (m->gauge.value * statsd.decimal_detail);
m->reset = 1;
updated = 1;
}
if(unlikely(m->options & STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED && (updated || !(m->options & STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED))))
statsd_private_chart_gauge(m);
}
static inline void statsd_flush_counter_or_meter(STATSD_METRIC *m, const char *dim, const char *family) {
debug(D_STATSD, "flushing %s metric '%s'", dim, m->name);
int updated = 0;
if(unlikely(!m->reset && m->count)) {
m->last = m->counter.value;
m->reset = 1;
updated = 1;
}
if(unlikely(m->options & STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED && (updated || !(m->options & STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED))))
statsd_private_chart_counter_or_meter(m, dim, family);
}
static inline void statsd_flush_counter(STATSD_METRIC *m) {
statsd_flush_counter_or_meter(m, "counter", "counters");
}
static inline void statsd_flush_meter(STATSD_METRIC *m) {
statsd_flush_counter_or_meter(m, "meter", "meters");
}
static inline void statsd_flush_set(STATSD_METRIC *m) {
debug(D_STATSD, "flushing set metric '%s'", m->name);
int updated = 0;
if(unlikely(!m->reset && m->count)) {
m->last = (collected_number)m->set.unique;
m->reset = 1;
updated = 1;
}
else {
m->last = 0;
}
if(unlikely(m->options & STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED && (updated || !(m->options & STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED))))
statsd_private_chart_set(m);
}
static inline void statsd_flush_dictionary(STATSD_METRIC *m) {
debug(D_STATSD, "flushing dictionary metric '%s'", m->name);
int updated = 0;
if(unlikely(!m->reset && m->count)) {
m->last = (collected_number)m->dictionary.unique;
m->reset = 1;
updated = 1;
}
else {
m->last = 0;
}
if(unlikely(m->options & STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED && (updated || !(m->options & STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED))))
statsd_private_chart_dictionary(m);
if(m->dictionary.unique >= statsd.dictionary_max_unique) {
if(!(m->options & STATSD_METRIC_OPTION_COLLECTION_FULL_LOGGED)) {
m->options |= STATSD_METRIC_OPTION_COLLECTION_FULL_LOGGED;
info(
"STATSD dictionary '%s' reach max of %zu items - try increasing 'dictionaries max unique dimensions' in netdata.conf",
m->name,
m->dictionary.unique);
}
}
}
static inline void statsd_flush_timer_or_histogram(STATSD_METRIC *m, const char *dim, const char *family, const char *units) {
debug(D_STATSD, "flushing %s metric '%s'", dim, m->name);
int updated = 0;
if(unlikely(!m->reset && m->count && m->histogram.ext->used > 0)) {
netdata_mutex_lock(&m->histogram.ext->mutex);
size_t len = m->histogram.ext->used;
NETDATA_DOUBLE *series = m->histogram.ext->values;
sort_series(series, len);
m->histogram.ext->last_min = (collected_number)roundndd(series[0] * statsd.decimal_detail);
m->histogram.ext->last_max = (collected_number)roundndd(series[len - 1] * statsd.decimal_detail);
m->last = (collected_number)roundndd(average(series, len) * statsd.decimal_detail);
m->histogram.ext->last_median = (collected_number)roundndd(median_on_sorted_series(series, len) * statsd.decimal_detail);
m->histogram.ext->last_stddev = (collected_number)roundndd(standard_deviation(series, len) * statsd.decimal_detail);
m->histogram.ext->last_sum = (collected_number)roundndd(sum(series, len) * statsd.decimal_detail);
size_t pct_len = (size_t)floor((double)len * statsd.histogram_percentile / 100.0);
if(pct_len < 1)
m->histogram.ext->last_percentile = (collected_number)(series[0] * statsd.decimal_detail);
else
m->histogram.ext->last_percentile = (collected_number)roundndd(series[pct_len - 1] * statsd.decimal_detail);
netdata_mutex_unlock(&m->histogram.ext->mutex);
debug(D_STATSD, "STATSD %s metric %s: min " COLLECTED_NUMBER_FORMAT ", max " COLLECTED_NUMBER_FORMAT ", last " COLLECTED_NUMBER_FORMAT ", pcent " COLLECTED_NUMBER_FORMAT ", median " COLLECTED_NUMBER_FORMAT ", stddev " COLLECTED_NUMBER_FORMAT ", sum " COLLECTED_NUMBER_FORMAT,
dim, m->name, m->histogram.ext->last_min, m->histogram.ext->last_max, m->last, m->histogram.ext->last_percentile, m->histogram.ext->last_median, m->histogram.ext->last_stddev, m->histogram.ext->last_sum);
m->histogram.ext->zeroed = 0;
m->reset = 1;
updated = 1;
}
else if(unlikely(!m->histogram.ext->zeroed)) {
// reset the metrics
// if we collected anything, they will be updated below
// this ensures that we report zeros if nothing is collected
m->histogram.ext->last_min = 0;
m->histogram.ext->last_max = 0;
m->last = 0;
m->histogram.ext->last_median = 0;
m->histogram.ext->last_stddev = 0;
m->histogram.ext->last_sum = 0;
m->histogram.ext->last_percentile = 0;
m->histogram.ext->zeroed = 1;
}
if(unlikely(m->options & STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED && (updated || !(m->options & STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED))))
statsd_private_chart_timer_or_histogram(m, dim, family, units);
}
static inline void statsd_flush_timer(STATSD_METRIC *m) {
statsd_flush_timer_or_histogram(m, "timer", "timers", "milliseconds");
}
static inline void statsd_flush_histogram(STATSD_METRIC *m) {
statsd_flush_timer_or_histogram(m, "histogram", "histograms", "value");
}
static inline RRD_ALGORITHM statsd_algorithm_for_metric(STATSD_METRIC *m) {
switch(m->type) {
default:
case STATSD_METRIC_TYPE_GAUGE:
case STATSD_METRIC_TYPE_SET:
case STATSD_METRIC_TYPE_TIMER:
case STATSD_METRIC_TYPE_HISTOGRAM:
return RRD_ALGORITHM_ABSOLUTE;
case STATSD_METRIC_TYPE_METER:
case STATSD_METRIC_TYPE_COUNTER:
case STATSD_METRIC_TYPE_DICTIONARY:
return RRD_ALGORITHM_INCREMENTAL;
}
}
static inline void link_metric_to_app_dimension(STATSD_APP *app, STATSD_METRIC *m, STATSD_APP_CHART *chart, STATSD_APP_CHART_DIM *dim) {
if(dim->value_type == STATSD_APP_CHART_DIM_VALUE_TYPE_EVENTS) {
dim->value_ptr = &m->events;
dim->algorithm = RRD_ALGORITHM_INCREMENTAL;
}
else if(m->type == STATSD_METRIC_TYPE_HISTOGRAM || m->type == STATSD_METRIC_TYPE_TIMER) {
dim->algorithm = RRD_ALGORITHM_ABSOLUTE;
dim->divisor *= statsd.decimal_detail;
switch(dim->value_type) {
case STATSD_APP_CHART_DIM_VALUE_TYPE_EVENTS:
// will never match - added to avoid warning
break;
case STATSD_APP_CHART_DIM_VALUE_TYPE_LAST:
case STATSD_APP_CHART_DIM_VALUE_TYPE_AVERAGE:
dim->value_ptr = &m->last;
break;
case STATSD_APP_CHART_DIM_VALUE_TYPE_SUM:
dim->value_ptr = &m->histogram.ext->last_sum;
break;
case STATSD_APP_CHART_DIM_VALUE_TYPE_MIN:
dim->value_ptr = &m->histogram.ext->last_min;
break;
case STATSD_APP_CHART_DIM_VALUE_TYPE_MAX:
dim->value_ptr = &m->histogram.ext->last_max;
break;
case STATSD_APP_CHART_DIM_VALUE_TYPE_MEDIAN:
dim->value_ptr = &m->histogram.ext->last_median;
break;
case STATSD_APP_CHART_DIM_VALUE_TYPE_PERCENTILE:
dim->value_ptr = &m->histogram.ext->last_percentile;
break;
case STATSD_APP_CHART_DIM_VALUE_TYPE_STDDEV:
dim->value_ptr = &m->histogram.ext->last_stddev;
break;
}
}
else {
if (dim->value_type != STATSD_APP_CHART_DIM_VALUE_TYPE_LAST)
error("STATSD: unsupported value type for dimension '%s' of chart '%s' of app '%s' on metric '%s'", dim->name, chart->id, app->name, m->name);
dim->value_ptr = &m->last;
dim->algorithm = statsd_algorithm_for_metric(m);
if(m->type == STATSD_METRIC_TYPE_GAUGE)
dim->divisor *= statsd.decimal_detail;
}
if(unlikely(chart->st && dim->rd)) {
rrddim_set_algorithm(chart->st, dim->rd, dim->algorithm);
rrddim_set_multiplier(chart->st, dim->rd, dim->multiplier);
rrddim_set_divisor(chart->st, dim->rd, dim->divisor);
}
chart->dimensions_linked_count++;
m->options |= STATSD_METRIC_OPTION_USED_IN_APPS;
debug(D_STATSD, "metric '%s' of type %u linked with app '%s', chart '%s', dimension '%s', algorithm '%s'", m->name, m->type, app->name, chart->id, dim->name, rrd_algorithm_name(dim->algorithm));
}
static inline void check_if_metric_is_for_app(STATSD_INDEX *index, STATSD_METRIC *m) {
(void)index;
STATSD_APP *app;
for(app = statsd.apps; app ;app = app->next) {
if(unlikely(simple_pattern_matches(app->metrics, m->name))) {
debug(D_STATSD, "metric '%s' matches app '%s'", m->name, app->name);
// the metric should get the options from the app
if(app->default_options & STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED)
m->options |= STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED;
else
m->options &= ~STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED;
if(app->default_options & STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED)
m->options |= STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED;
else
m->options &= ~STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED;
m->options |= STATSD_METRIC_OPTION_PRIVATE_CHART_CHECKED;
// check if there is a chart in this app, willing to get this metric
STATSD_APP_CHART *chart;
for(chart = app->charts; chart; chart = chart->next) {
STATSD_APP_CHART_DIM *dim;
for(dim = chart->dimensions; dim ; dim = dim->next) {
if(unlikely(dim->metric_pattern)) {
size_t dim_name_len = strlen(dim->name);
size_t wildcarded_len = dim_name_len + strlen(m->name) + 1;
char wildcarded[wildcarded_len];
strcpy(wildcarded, dim->name);
char *ws = &wildcarded[dim_name_len];
if(simple_pattern_matches_extract(dim->metric_pattern, m->name, ws, wildcarded_len - dim_name_len)) {
char *final_name = NULL;
if(app->dict) {
if(likely(*wildcarded)) {
// use the name of the wildcarded string
final_name = dictionary_get(app->dict, wildcarded);
}
if(unlikely(!final_name)) {
// use the name of the metric
final_name = dictionary_get(app->dict, m->name);
}
}
if(unlikely(!final_name))
final_name = wildcarded;
add_dimension_to_app_chart(
app
, chart
, m->name
, final_name
, dim->multiplier
, dim->divisor
, dim->flags
, dim->options
, dim->value_type
);
// the new dimension is appended to the list
// so, it will be matched and linked later too
}
}
else if(!dim->value_ptr && dim->metric_hash == m->hash && !strcmp(dim->metric, m->name)) {
// we have a match - this metric should be linked to this dimension
link_metric_to_app_dimension(app, m, chart, dim);
}
}
}
}
}
}
static inline RRDDIM *statsd_add_dim_to_app_chart(STATSD_APP *app, STATSD_APP_CHART *chart, STATSD_APP_CHART_DIM *dim) {
(void)app;
// allow the same statsd metric to be added multiple times to the same chart
STATSD_APP_CHART_DIM *tdim;
size_t count_same_metric = 0, count_same_metric_value_type = 0;
size_t pos_same_metric_value_type = 0;
for (tdim = chart->dimensions; tdim && tdim->next; tdim = tdim->next) {
if (dim->metric_hash == tdim->metric_hash && !strcmp(dim->metric, tdim->metric)) {
count_same_metric++;
if(dim->value_type == tdim->value_type) {
count_same_metric_value_type++;
if (tdim == dim)
pos_same_metric_value_type = count_same_metric_value_type;
}
}
}
if(count_same_metric > 1) {
// the same metric is found multiple times
size_t len = strlen(dim->metric) + 100;
char metric[ len + 1 ];
if(count_same_metric_value_type > 1) {
// the same metric, with the same value type, is added multiple times
snprintfz(metric, len, "%s_%s%zu", dim->metric, valuetype2string(dim->value_type), pos_same_metric_value_type);
}
else {
// the same metric, with different value type is added
snprintfz(metric, len, "%s_%s", dim->metric, valuetype2string(dim->value_type));
}
dim->rd = rrddim_add(chart->st, metric, dim->name, dim->multiplier, dim->divisor, dim->algorithm);
if(dim->flags != RRDDIM_FLAG_NONE) dim->rd->flags |= dim->flags;
if(dim->options != RRDDIM_OPTION_NONE) dim->rd->options |= dim->options;
return dim->rd;
}
dim->rd = rrddim_add(chart->st, dim->metric, dim->name, dim->multiplier, dim->divisor, dim->algorithm);
if(dim->flags != RRDDIM_FLAG_NONE) dim->rd->flags |= dim->flags;
if(dim->options != RRDDIM_OPTION_NONE) dim->rd->options |= dim->options;
return dim->rd;
}
static inline void statsd_update_app_chart(STATSD_APP *app, STATSD_APP_CHART *chart) {
debug(D_STATSD, "updating chart '%s' for app '%s'", chart->id, app->name);
if(!chart->st) {
chart->st = rrdset_create_custom(
localhost // host
, app->name // type
, chart->id // id
, chart->name // name
, chart->family // family
, chart->context // context
, chart->title // title
, chart->units // units
, PLUGIN_STATSD_NAME // plugin
, chart->module // module
, chart->priority // priority
, statsd.update_every // update every
, chart->chart_type // chart type
, app->rrd_memory_mode // memory mode
, app->rrd_history_entries // history
);
rrdset_flag_set(chart->st, RRDSET_FLAG_STORE_FIRST);
// rrdset_flag_set(chart->st, RRDSET_FLAG_DEBUG);
}
else rrdset_next(chart->st);
STATSD_APP_CHART_DIM *dim;
for(dim = chart->dimensions; dim ;dim = dim->next) {
if(likely(!dim->metric_pattern)) {
if (unlikely(!dim->rd))
statsd_add_dim_to_app_chart(app, chart, dim);
if (unlikely(dim->value_ptr)) {
debug(D_STATSD, "updating dimension '%s' (%s) of chart '%s' (%s) for app '%s' with value " COLLECTED_NUMBER_FORMAT, dim->name, rrddim_id(dim->rd), chart->id, rrdset_id(chart->st), app->name, *dim->value_ptr);
rrddim_set_by_pointer(chart->st, dim->rd, *dim->value_ptr);
}
}
}
rrdset_done(chart->st);
debug(D_STATSD, "completed update of chart '%s' for app '%s'", chart->id, app->name);
}
static inline void statsd_update_all_app_charts(void) {
// debug(D_STATSD, "updating app charts");
STATSD_APP *app;
for(app = statsd.apps; app ;app = app->next) {
// debug(D_STATSD, "updating charts for app '%s'", app->name);
STATSD_APP_CHART *chart;
for(chart = app->charts; chart ;chart = chart->next) {
if(unlikely(chart->dimensions_linked_count)) {
statsd_update_app_chart(app, chart);
}
}
}
// debug(D_STATSD, "completed update of app charts");
}
const char *statsd_metric_type_string(STATSD_METRIC_TYPE type) {
switch(type) {
case STATSD_METRIC_TYPE_COUNTER: return "counter";
case STATSD_METRIC_TYPE_GAUGE: return "gauge";
case STATSD_METRIC_TYPE_HISTOGRAM: return "histogram";
case STATSD_METRIC_TYPE_METER: return "meter";
case STATSD_METRIC_TYPE_SET: return "set";
case STATSD_METRIC_TYPE_DICTIONARY: return "dictionary";
case STATSD_METRIC_TYPE_TIMER: return "timer";
default: return "unknown";
}
}
static inline void statsd_flush_index_metrics(STATSD_INDEX *index, void (*flush_metric)(STATSD_METRIC *)) {
STATSD_METRIC *m;
// find the useful metrics (incremental = each time we are called, we check the new metrics only)
dfe_start_read(index->dict, m) {
// since we add new metrics at the beginning
// check for useful charts, until the point we last checked
if(unlikely(is_metric_checked(m))) break;
if(unlikely(!(m->options & STATSD_METRIC_OPTION_CHECKED_IN_APPS))) {
log_access("NEW STATSD METRIC '%s': '%s'", statsd_metric_type_string(m->type), m->name);
check_if_metric_is_for_app(index, m);
m->options |= STATSD_METRIC_OPTION_CHECKED_IN_APPS;
}
if(unlikely(!(m->options & STATSD_METRIC_OPTION_PRIVATE_CHART_CHECKED))) {
if(unlikely(statsd.private_charts >= statsd.max_private_charts_hard)) {
debug(D_STATSD, "STATSD: metric '%s' will not be charted, because the hard limit of the maximum number of charts has been reached.", m->name);
info("STATSD: metric '%s' will not be charted, because the hard limit of the maximum number of charts (%zu) has been reached. Increase the number of charts by editing netdata.conf, [statsd] section.", m->name, statsd.max_private_charts_hard);
m->options &= ~STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED;
}
else {
if (simple_pattern_matches(statsd.charts_for, m->name)) {
debug(D_STATSD, "STATSD: metric '%s' will be charted.", m->name);
m->options |= STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED;
} else {
debug(D_STATSD, "STATSD: metric '%s' will not be charted.", m->name);
m->options &= ~STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED;
}
}
m->options |= STATSD_METRIC_OPTION_PRIVATE_CHART_CHECKED;
}
// mark it as checked
m->options |= STATSD_METRIC_OPTION_CHECKED;
// check if it is used in charts
if((m->options & (STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED|STATSD_METRIC_OPTION_USED_IN_APPS)) && !(m->options & STATSD_METRIC_OPTION_USEFUL)) {
m->options |= STATSD_METRIC_OPTION_USEFUL;
index->useful++;
m->next_useful = index->first_useful;
index->first_useful = m;
}
}
dfe_done(m);
// flush all the useful metrics
for(m = index->first_useful; m ; m = m->next_useful) {
flush_metric(m);
}
}
// --------------------------------------------------------------------------------------
// statsd main thread
static int statsd_listen_sockets_setup(void) {
return listen_sockets_setup(&statsd.sockets);
}
static void statsd_main_cleanup(void *data) {
struct netdata_static_thread *static_thread = (struct netdata_static_thread *)data;
static_thread->enabled = NETDATA_MAIN_THREAD_EXITING;
info("cleaning up...");
if (statsd.collection_threads_status) {
int i;
for (i = 0; i < statsd.threads; i++) {
if(statsd.collection_threads_status[i].status) {
info("STATSD: stopping data collection thread %d...", i + 1);
netdata_thread_cancel(statsd.collection_threads_status[i].thread);
}
else {
info("STATSD: data collection thread %d found stopped.", i + 1);
}
}
}
info("STATSD: closing sockets...");
listen_sockets_close(&statsd.sockets);
// destroy the dictionaries
dictionary_destroy(statsd.gauges.dict);
dictionary_destroy(statsd.meters.dict);
dictionary_destroy(statsd.counters.dict);
dictionary_destroy(statsd.histograms.dict);
dictionary_destroy(statsd.dictionaries.dict);
dictionary_destroy(statsd.sets.dict);
dictionary_destroy(statsd.timers.dict);
info("STATSD: cleanup completed.");
static_thread->enabled = NETDATA_MAIN_THREAD_EXITED;
worker_unregister();
}
#define WORKER_STATSD_FLUSH_GAUGES 0
#define WORKER_STATSD_FLUSH_COUNTERS 1
#define WORKER_STATSD_FLUSH_METERS 2
#define WORKER_STATSD_FLUSH_TIMERS 3
#define WORKER_STATSD_FLUSH_HISTOGRAMS 4
#define WORKER_STATSD_FLUSH_SETS 5
#define WORKER_STATSD_FLUSH_DICTIONARIES 6
#define WORKER_STATSD_FLUSH_STATS 7
#if WORKER_UTILIZATION_MAX_JOB_TYPES < 8
#error WORKER_UTILIZATION_MAX_JOB_TYPES has to be at least 8
#endif
void *statsd_main(void *ptr) {
worker_register("STATSDFLUSH");
worker_register_job_name(WORKER_STATSD_FLUSH_GAUGES, "gauges");
worker_register_job_name(WORKER_STATSD_FLUSH_COUNTERS, "counters");
worker_register_job_name(WORKER_STATSD_FLUSH_METERS, "meters");
worker_register_job_name(WORKER_STATSD_FLUSH_TIMERS, "timers");
worker_register_job_name(WORKER_STATSD_FLUSH_HISTOGRAMS, "histograms");
worker_register_job_name(WORKER_STATSD_FLUSH_SETS, "sets");
worker_register_job_name(WORKER_STATSD_FLUSH_DICTIONARIES, "dictionaries");
worker_register_job_name(WORKER_STATSD_FLUSH_STATS, "statistics");
netdata_thread_cleanup_push(statsd_main_cleanup, ptr);
statsd.gauges.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS);
statsd.meters.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS);
statsd.counters.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS);
statsd.histograms.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS);
statsd.dictionaries.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS);
statsd.sets.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS);
statsd.timers.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS);
dictionary_register_insert_callback(statsd.gauges.dict, dictionary_metric_insert_callback, &statsd.gauges);
dictionary_register_insert_callback(statsd.meters.dict, dictionary_metric_insert_callback, &statsd.meters);
dictionary_register_insert_callback(statsd.counters.dict, dictionary_metric_insert_callback, &statsd.counters);
dictionary_register_insert_callback(statsd.histograms.dict, dictionary_metric_insert_callback, &statsd.histograms);
dictionary_register_insert_callback(statsd.dictionaries.dict, dictionary_metric_insert_callback, &statsd.dictionaries);
dictionary_register_insert_callback(statsd.sets.dict, dictionary_metric_insert_callback, &statsd.sets);
dictionary_register_insert_callback(statsd.timers.dict, dictionary_metric_insert_callback, &statsd.timers);
dictionary_register_delete_callback(statsd.gauges.dict, dictionary_metric_delete_callback, &statsd.gauges);
dictionary_register_delete_callback(statsd.meters.dict, dictionary_metric_delete_callback, &statsd.meters);
dictionary_register_delete_callback(statsd.counters.dict, dictionary_metric_delete_callback, &statsd.counters);
dictionary_register_delete_callback(statsd.histograms.dict, dictionary_metric_delete_callback, &statsd.histograms);
dictionary_register_delete_callback(statsd.dictionaries.dict, dictionary_metric_delete_callback, &statsd.dictionaries);
dictionary_register_delete_callback(statsd.sets.dict, dictionary_metric_delete_callback, &statsd.sets);
dictionary_register_delete_callback(statsd.timers.dict, dictionary_metric_delete_callback, &statsd.timers);
// ----------------------------------------------------------------------------------------------------------------
// statsd configuration
statsd.enabled = config_get_boolean(CONFIG_SECTION_PLUGINS, "statsd", statsd.enabled);
statsd.update_every = default_rrd_update_every;
statsd.update_every = (int)config_get_number(CONFIG_SECTION_STATSD, "update every (flushInterval)", statsd.update_every);
if(statsd.update_every < default_rrd_update_every) {
error("STATSD: minimum flush interval %d given, but the minimum is the update every of netdata. Using %d", statsd.update_every, default_rrd_update_every);
statsd.update_every = default_rrd_update_every;
}
#ifdef HAVE_RECVMMSG
statsd.recvmmsg_size = (size_t)config_get_number(CONFIG_SECTION_STATSD, "udp messages to process at once", (long long)statsd.recvmmsg_size);
#endif
statsd.charts_for = simple_pattern_create(config_get(CONFIG_SECTION_STATSD, "create private charts for metrics matching", "*"), NULL, SIMPLE_PATTERN_EXACT);
statsd.max_private_charts_hard = (size_t)config_get_number(CONFIG_SECTION_STATSD, "max private charts hard limit", (long long)statsd.max_private_charts_hard);
statsd.private_charts_rrd_history_entries = (int)config_get_number(CONFIG_SECTION_STATSD, "private charts history", default_rrd_history_entries);
statsd.decimal_detail = (collected_number)config_get_number(CONFIG_SECTION_STATSD, "decimal detail", (long long int)statsd.decimal_detail);
statsd.tcp_idle_timeout = (size_t) config_get_number(CONFIG_SECTION_STATSD, "disconnect idle tcp clients after seconds", (long long int)statsd.tcp_idle_timeout);
statsd.private_charts_hidden = (unsigned int)config_get_boolean(CONFIG_SECTION_STATSD, "private charts hidden", statsd.private_charts_hidden);
statsd.histogram_percentile = (double)config_get_float(CONFIG_SECTION_STATSD, "histograms and timers percentile (percentThreshold)", statsd.histogram_percentile);
if(isless(statsd.histogram_percentile, 0) || isgreater(statsd.histogram_percentile, 100)) {
error("STATSD: invalid histograms and timers percentile %0.5f given", statsd.histogram_percentile);
statsd.histogram_percentile = 95.0;
}
{
char buffer[314 + 1];
snprintfz(buffer, 314, "%0.1f%%", statsd.histogram_percentile);
statsd.histogram_percentile_str = strdupz(buffer);
}
statsd.dictionary_max_unique = config_get_number(CONFIG_SECTION_STATSD, "dictionaries max unique dimensions", statsd.dictionary_max_unique);
if(config_get_boolean(CONFIG_SECTION_STATSD, "add dimension for number of events received", 0)) {
statsd.gauges.default_options |= STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT;
statsd.counters.default_options |= STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT;
statsd.meters.default_options |= STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT;
statsd.sets.default_options |= STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT;
statsd.histograms.default_options |= STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT;
statsd.timers.default_options |= STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT;
statsd.dictionaries.default_options |= STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT;
}
if(config_get_boolean(CONFIG_SECTION_STATSD, "gaps on gauges (deleteGauges)", 0))
statsd.gauges.default_options |= STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED;
if(config_get_boolean(CONFIG_SECTION_STATSD, "gaps on counters (deleteCounters)", 0))
statsd.counters.default_options |= STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED;
if(config_get_boolean(CONFIG_SECTION_STATSD, "gaps on meters (deleteMeters)", 0))
statsd.meters.default_options |= STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED;
if(config_get_boolean(CONFIG_SECTION_STATSD, "gaps on sets (deleteSets)", 0))
statsd.sets.default_options |= STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED;
if(config_get_boolean(CONFIG_SECTION_STATSD, "gaps on histograms (deleteHistograms)", 0))
statsd.histograms.default_options |= STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED;
if(config_get_boolean(CONFIG_SECTION_STATSD, "gaps on timers (deleteTimers)", 0))
statsd.timers.default_options |= STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED;
if(config_get_boolean(CONFIG_SECTION_STATSD, "gaps on dictionaries (deleteDictionaries)", 0))
statsd.dictionaries.default_options |= STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED;
size_t max_sockets = (size_t)config_get_number(CONFIG_SECTION_STATSD, "statsd server max TCP sockets", (long long int)(rlimit_nofile.rlim_cur / 4));
#ifdef STATSD_MULTITHREADED
statsd.threads = (int)config_get_number(CONFIG_SECTION_STATSD, "threads", processors);
if(statsd.threads < 1) {
error("STATSD: Invalid number of threads %d, using %d", statsd.threads, processors);
statsd.threads = processors;
config_set_number(CONFIG_SECTION_STATSD, "collector threads", statsd.threads);
}
#else
statsd.threads = 1;
#endif
// read custom application definitions
statsd_readdir(netdata_configured_user_config_dir, netdata_configured_stock_config_dir, "statsd.d");
// ----------------------------------------------------------------------------------------------------------------
// statsd setup
if(!statsd.enabled) goto cleanup;
statsd_listen_sockets_setup();
if(!statsd.sockets.opened) {
error("STATSD: No statsd sockets to listen to. statsd will be disabled.");
goto cleanup;
}
statsd.collection_threads_status = callocz((size_t)statsd.threads, sizeof(struct collection_thread_status));
int i;
for(i = 0; i < statsd.threads ;i++) {
statsd.collection_threads_status[i].max_sockets = max_sockets / statsd.threads;
char tag[NETDATA_THREAD_TAG_MAX + 1];
snprintfz(tag, NETDATA_THREAD_TAG_MAX, "STATSD_COLLECTOR[%d]", i + 1);
netdata_thread_create(&statsd.collection_threads_status[i].thread, tag, NETDATA_THREAD_OPTION_DEFAULT, statsd_collector_thread, &statsd.collection_threads_status[i]);
}
// ----------------------------------------------------------------------------------------------------------------
// statsd monitoring charts
RRDSET *st_metrics = rrdset_create_localhost(
"netdata"
, "statsd_metrics"
, NULL
, "statsd"
, NULL
, "Metrics in the netdata statsd database"
, "metrics"
, PLUGIN_STATSD_NAME
, "stats"
, 132010
, statsd.update_every
, RRDSET_TYPE_STACKED
);
RRDDIM *rd_metrics_gauge = rrddim_add(st_metrics, "gauges", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
RRDDIM *rd_metrics_counter = rrddim_add(st_metrics, "counters", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
RRDDIM *rd_metrics_timer = rrddim_add(st_metrics, "timers", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
RRDDIM *rd_metrics_meter = rrddim_add(st_metrics, "meters", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
RRDDIM *rd_metrics_histogram = rrddim_add(st_metrics, "histograms", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
RRDDIM *rd_metrics_set = rrddim_add(st_metrics, "sets", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
RRDDIM *rd_metrics_dictionary= rrddim_add(st_metrics, "dictionaries", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
RRDSET *st_useful_metrics = rrdset_create_localhost(
"netdata"
, "statsd_useful_metrics"
, NULL
, "statsd"
, NULL
, "Useful metrics in the netdata statsd database"
, "metrics"
, PLUGIN_STATSD_NAME
, "stats"
, 132010
, statsd.update_every
, RRDSET_TYPE_STACKED
);
RRDDIM *rd_useful_metrics_gauge = rrddim_add(st_useful_metrics, "gauges", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
RRDDIM *rd_useful_metrics_counter = rrddim_add(st_useful_metrics, "counters", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
RRDDIM *rd_useful_metrics_timer = rrddim_add(st_useful_metrics, "timers", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
RRDDIM *rd_useful_metrics_meter = rrddim_add(st_useful_metrics, "meters", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
RRDDIM *rd_useful_metrics_histogram = rrddim_add(st_useful_metrics, "histograms", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
RRDDIM *rd_useful_metrics_set = rrddim_add(st_useful_metrics, "sets", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
RRDDIM *rd_useful_metrics_dictionary= rrddim_add(st_useful_metrics, "dictionaries", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
RRDSET *st_events = rrdset_create_localhost(
"netdata"
, "statsd_events"
, NULL
, "statsd"
, NULL
, "Events processed by the netdata statsd server"
, "events/s"
, PLUGIN_STATSD_NAME
, "stats"
, 132011
, statsd.update_every
, RRDSET_TYPE_STACKED
);
RRDDIM *rd_events_gauge = rrddim_add(st_events, "gauges", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
RRDDIM *rd_events_counter = rrddim_add(st_events, "counters", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
RRDDIM *rd_events_timer = rrddim_add(st_events, "timers", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
RRDDIM *rd_events_meter = rrddim_add(st_events, "meters", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
RRDDIM *rd_events_histogram = rrddim_add(st_events, "histograms", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
RRDDIM *rd_events_set = rrddim_add(st_events, "sets", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
RRDDIM *rd_events_dictionary= rrddim_add(st_events, "dictionaries", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
RRDDIM *rd_events_unknown = rrddim_add(st_events, "unknown", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
RRDDIM *rd_events_errors = rrddim_add(st_events, "errors", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
RRDSET *st_reads = rrdset_create_localhost(
"netdata"
, "statsd_reads"
, NULL
, "statsd"
, NULL
, "Read operations made by the netdata statsd server"
, "reads/s"
, PLUGIN_STATSD_NAME
, "stats"
, 132012
, statsd.update_every
, RRDSET_TYPE_STACKED
);
RRDDIM *rd_reads_tcp = rrddim_add(st_reads, "tcp", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
RRDDIM *rd_reads_udp = rrddim_add(st_reads, "udp", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
RRDSET *st_bytes = rrdset_create_localhost(
"netdata"
, "statsd_bytes"
, NULL
, "statsd"
, NULL
, "Bytes read by the netdata statsd server"
, "kilobits/s"
, PLUGIN_STATSD_NAME
, "stats"
, 132013
, statsd.update_every
, RRDSET_TYPE_STACKED
);
RRDDIM *rd_bytes_tcp = rrddim_add(st_bytes, "tcp", NULL, 8, BITS_IN_A_KILOBIT, RRD_ALGORITHM_INCREMENTAL);
RRDDIM *rd_bytes_udp = rrddim_add(st_bytes, "udp", NULL, 8, BITS_IN_A_KILOBIT, RRD_ALGORITHM_INCREMENTAL);
RRDSET *st_packets = rrdset_create_localhost(
"netdata"
, "statsd_packets"
, NULL
, "statsd"
, NULL
, "Network packets processed by the netdata statsd server"
, "packets/s"
, PLUGIN_STATSD_NAME
, "stats"
, 132014
, statsd.update_every
, RRDSET_TYPE_STACKED
);
RRDDIM *rd_packets_tcp = rrddim_add(st_packets, "tcp", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
RRDDIM *rd_packets_udp = rrddim_add(st_packets, "udp", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
RRDSET *st_tcp_connects = rrdset_create_localhost(
"netdata"
, "tcp_connects"
, NULL
, "statsd"
, NULL
, "statsd server TCP connects and disconnects"
, "events"
, PLUGIN_STATSD_NAME
, "stats"
, 132015
, statsd.update_every
, RRDSET_TYPE_LINE
);
RRDDIM *rd_tcp_connects = rrddim_add(st_tcp_connects, "connects", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL);
RRDDIM *rd_tcp_disconnects = rrddim_add(st_tcp_connects, "disconnects", NULL, -1, 1, RRD_ALGORITHM_INCREMENTAL);
RRDSET *st_tcp_connected = rrdset_create_localhost(
"netdata"
, "tcp_connected"
, NULL
, "statsd"
, NULL
, "statsd server TCP connected sockets"
, "sockets"
, PLUGIN_STATSD_NAME
, "stats"
, 132016
, statsd.update_every
, RRDSET_TYPE_LINE
);
RRDDIM *rd_tcp_connected = rrddim_add(st_tcp_connected, "connected", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
RRDSET *st_pcharts = rrdset_create_localhost(
"netdata"
, "private_charts"
, NULL
, "statsd"
, NULL
, "Private metric charts created by the netdata statsd server"
, "charts"
, PLUGIN_STATSD_NAME
, "stats"
, 132020
, statsd.update_every
, RRDSET_TYPE_AREA
);
RRDDIM *rd_pcharts = rrddim_add(st_pcharts, "charts", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
// ----------------------------------------------------------------------------------------------------------------
// statsd thread to turn metrics into charts
usec_t step = statsd.update_every * USEC_PER_SEC;
heartbeat_t hb;
heartbeat_init(&hb);
while(!netdata_exit) {
worker_is_idle();
usec_t hb_dt = heartbeat_next(&hb, step);
worker_is_busy(WORKER_STATSD_FLUSH_GAUGES);
statsd_flush_index_metrics(&statsd.gauges, statsd_flush_gauge);
worker_is_busy(WORKER_STATSD_FLUSH_COUNTERS);
statsd_flush_index_metrics(&statsd.counters, statsd_flush_counter);
worker_is_busy(WORKER_STATSD_FLUSH_METERS);
statsd_flush_index_metrics(&statsd.meters, statsd_flush_meter);
worker_is_busy(WORKER_STATSD_FLUSH_TIMERS);
statsd_flush_index_metrics(&statsd.timers, statsd_flush_timer);
worker_is_busy(WORKER_STATSD_FLUSH_HISTOGRAMS);
statsd_flush_index_metrics(&statsd.histograms, statsd_flush_histogram);
worker_is_busy(WORKER_STATSD_FLUSH_SETS);
statsd_flush_index_metrics(&statsd.sets, statsd_flush_set);
worker_is_busy(WORKER_STATSD_FLUSH_DICTIONARIES);
statsd_flush_index_metrics(&statsd.dictionaries,statsd_flush_dictionary);
worker_is_busy(WORKER_STATSD_FLUSH_STATS);
statsd_update_all_app_charts();
if(unlikely(netdata_exit))
break;
if(likely(hb_dt)) {
rrdset_next(st_metrics);
rrdset_next(st_useful_metrics);
rrdset_next(st_events);
rrdset_next(st_reads);
rrdset_next(st_bytes);
rrdset_next(st_packets);
rrdset_next(st_tcp_connects);
rrdset_next(st_tcp_connected);
rrdset_next(st_pcharts);
}
rrddim_set_by_pointer(st_metrics, rd_metrics_gauge, (collected_number)statsd.gauges.metrics);
rrddim_set_by_pointer(st_metrics, rd_metrics_counter, (collected_number)statsd.counters.metrics);
rrddim_set_by_pointer(st_metrics, rd_metrics_timer, (collected_number)statsd.timers.metrics);
rrddim_set_by_pointer(st_metrics, rd_metrics_meter, (collected_number)statsd.meters.metrics);
rrddim_set_by_pointer(st_metrics, rd_metrics_histogram, (collected_number)statsd.histograms.metrics);
rrddim_set_by_pointer(st_metrics, rd_metrics_set, (collected_number)statsd.sets.metrics);
rrddim_set_by_pointer(st_metrics, rd_metrics_dictionary, (collected_number)statsd.dictionaries.metrics);
rrdset_done(st_metrics);
rrddim_set_by_pointer(st_useful_metrics, rd_useful_metrics_gauge, (collected_number)statsd.gauges.useful);
rrddim_set_by_pointer(st_useful_metrics, rd_useful_metrics_counter, (collected_number)statsd.counters.useful);
rrddim_set_by_pointer(st_useful_metrics, rd_useful_metrics_timer, (collected_number)statsd.timers.useful);
rrddim_set_by_pointer(st_useful_metrics, rd_useful_metrics_meter, (collected_number)statsd.meters.useful);
rrddim_set_by_pointer(st_useful_metrics, rd_useful_metrics_histogram, (collected_number)statsd.histograms.useful);
rrddim_set_by_pointer(st_useful_metrics, rd_useful_metrics_set, (collected_number)statsd.sets.useful);
rrddim_set_by_pointer(st_useful_metrics, rd_useful_metrics_dictionary, (collected_number)statsd.dictionaries.useful);
rrdset_done(st_useful_metrics);
rrddim_set_by_pointer(st_events, rd_events_gauge, (collected_number)statsd.gauges.events);
rrddim_set_by_pointer(st_events, rd_events_counter, (collected_number)statsd.counters.events);
rrddim_set_by_pointer(st_events, rd_events_timer, (collected_number)statsd.timers.events);
rrddim_set_by_pointer(st_events, rd_events_meter, (collected_number)statsd.meters.events);
rrddim_set_by_pointer(st_events, rd_events_histogram, (collected_number)statsd.histograms.events);
rrddim_set_by_pointer(st_events, rd_events_set, (collected_number)statsd.sets.events);
rrddim_set_by_pointer(st_events, rd_events_dictionary, (collected_number)statsd.dictionaries.events);
rrddim_set_by_pointer(st_events, rd_events_unknown, (collected_number)statsd.unknown_types);
rrddim_set_by_pointer(st_events, rd_events_errors, (collected_number)statsd.socket_errors);
rrdset_done(st_events);
rrddim_set_by_pointer(st_reads, rd_reads_tcp, (collected_number)statsd.tcp_socket_reads);
rrddim_set_by_pointer(st_reads, rd_reads_udp, (collected_number)statsd.udp_socket_reads);
rrdset_done(st_reads);
rrddim_set_by_pointer(st_bytes, rd_bytes_tcp, (collected_number)statsd.tcp_bytes_read);
rrddim_set_by_pointer(st_bytes, rd_bytes_udp, (collected_number)statsd.udp_bytes_read);
rrdset_done(st_bytes);
rrddim_set_by_pointer(st_packets, rd_packets_tcp, (collected_number)statsd.tcp_packets_received);
rrddim_set_by_pointer(st_packets, rd_packets_udp, (collected_number)statsd.udp_packets_received);
rrdset_done(st_packets);
rrddim_set_by_pointer(st_tcp_connects, rd_tcp_connects, (collected_number)statsd.tcp_socket_connects);
rrddim_set_by_pointer(st_tcp_connects, rd_tcp_disconnects, (collected_number)statsd.tcp_socket_disconnects);
rrdset_done(st_tcp_connects);
rrddim_set_by_pointer(st_tcp_connected, rd_tcp_connected, (collected_number)statsd.tcp_socket_connected);
rrdset_done(st_tcp_connected);
rrddim_set_by_pointer(st_pcharts, rd_pcharts, (collected_number)statsd.private_charts);
rrdset_done(st_pcharts);
}
cleanup: ; // added semi-colon to prevent older gcc error: label at end of compound statement
netdata_thread_cleanup_pop(1);
return NULL;
}
Reference in New Issue View Git Blame Copy Permalink