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Diffstat (limited to '')
| -rw-r--r-- | collectors/statsd.plugin/statsd.c | 2893 |
1 files changed, 2893 insertions, 0 deletions
diff --git a/collectors/statsd.plugin/statsd.c b/collectors/statsd.plugin/statsd.c new file mode 100644 index 00000000..9cc3a9d9 --- /dev/null +++ b/collectors/statsd.plugin/statsd.c @@ -0,0 +1,2893 @@ +// 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 + +// -------------------------------------------------------------------------------------- + +// DO NOT ENABLE MULTITHREADING - IT IS NOT WELL TESTED +// #define STATSD_MULTITHREADED 1 + +#define STATSD_DICTIONARY_OPTIONS (DICT_OPTION_DONT_OVERWRITE_VALUE | DICT_OPTION_ADD_IN_FRONT) +#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 + collected_number 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; + + uint32_t size; + uint32_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; +} STATSD_METRIC_SET; + +typedef struct statsd_metric_dictionary_item { + uint32_t count; + RRDDIM *rd; +} STATSD_METRIC_DICTIONARY_ITEM; + +typedef struct statsd_metric_dictionary { + DICTIONARY *dict; +} STATSD_METRIC_DICTIONARY; + + +// -------------------------------------------------------------------------------------------------------------------- +// this is a metric - for all types of metrics + +typedef enum __attribute__((packed)) 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 + STATSD_METRIC_OPTION_UPDATED_CHART_METADATA = 0x00000200, // set when the private chart metadata have been updated via tags + STATSD_METRIC_OPTION_OBSOLETE = 0x00004000, // set when the metric is obsoleted +} STATS_METRIC_OPTIONS; + +typedef enum __attribute__((packed)) 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) + uint32_t count; // the number of times this metric has been collected since the last flush + time_t last_collected; // timestamp of the last incoming value + + // 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 + uint32_t events; // the number of events processed for this index + uint32_t metrics; // the number of metrics in this index + uint32_t useful; // the number of useful metrics in this index + + STATS_METRIC_OPTIONS default_options; // default options for all 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) +} STATSD_INDEX; + +// -------------------------------------------------------------------------------------------------------------------- +// synthetic charts + +typedef enum __attribute__((packed)) 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 + + int32_t multiplier; // the multiplier of the dimension + int32_t divisor; // the divisor of the dimension + RRDDIM_FLAGS flags; // the RRDDIM flags for this dimension + RRDDIM_OPTIONS options; // the RRDDIM options for this dimension + RRD_ALGORITHM algorithm; // the algorithm of this dimension + + STATSD_APP_CHART_DIM_VALUE_TYPE value_type; // which value to use of the source metric + + SIMPLE_PATTERN *metric_pattern; // set when the 'metric' is a simple pattern + + 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 + + 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; + int32_t priority; + RRDSET_TYPE chart_type; + STATSD_APP_CHART_DIM *dimensions; + uint32_t dimensions_count; + uint32_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; + int32_t rrd_history_entries; + DICTIONARY *dict; + + const char *source; + STATSD_APP_CHART *charts; + struct statsd_app *next; +} STATSD_APP; + +// -------------------------------------------------------------------------------------------------------------------- +// global statsd data + +struct collection_thread_status { + SPINLOCK spinlock; + bool running; + uint32_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; + + int32_t update_every; + bool enabled; + bool private_charts_hidden; + SIMPLE_PATTERN *charts_for; + + uint32_t tcp_idle_timeout; + collected_number decimal_detail; + uint32_t private_charts; + uint32_t max_private_charts_hard; + uint32_t set_obsolete_after; + + STATSD_APP *apps; + uint32_t recvmmsg_size; + uint32_t histogram_increase_step; + uint32_t dictionary_max_unique; + double histogram_percentile; + char *histogram_percentile_str; + + int threads; + struct collection_thread_status *collection_threads_status; + + LISTEN_SOCKETS sockets; +} statsd = { + .enabled = 1, + .max_private_charts_hard = 1000, + .private_charts_hidden = false, + .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); + + netdata_log_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) { + netdata_log_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)) + collector_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)) + collector_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 metric_update_counters_and_obsoletion(STATSD_METRIC *m) { + m->events++; + m->count++; + m->last_collected = now_realtime_sec(); + if (m->st && unlikely(rrdset_flag_check(m->st, RRDSET_FLAG_OBSOLETE))) { + rrdset_isnot_obsolete___safe_from_collector_thread(m->st); + m->options &= ~STATSD_METRIC_OPTION_OBSOLETE; + } +} + +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)) { + collector_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); + + metric_update_counters_and_obsoletion(m); + } +} + +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)); + + metric_update_counters_and_obsoletion(m); + } +} + +#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)) { + collector_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; + } + + metric_update_counters_and_obsoletion(m); + } +} + +#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 inline void statsd_process_set(STATSD_METRIC *m, const char *value) { + if(!is_metric_useful_for_collection(m)) return; + + if(unlikely(!value || !*value)) { + netdata_log_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_advanced(STATSD_DICTIONARY_OPTIONS, &dictionary_stats_category_collectors, 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 + metric_update_counters_and_obsoletion(m); + } +} + +static inline void statsd_process_dictionary(STATSD_METRIC *m, const char *value) { + if(!is_metric_useful_for_collection(m)) return; + + if(unlikely(!value || !*value)) { + netdata_log_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_advanced(STATSD_DICTIONARY_OPTIONS, &dictionary_stats_category_collectors, 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 && dictionary_entries(m->dictionary.dict) >= 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++; + metric_update_counters_and_obsoletion(m); + } +} + + +// -------------------------------------------------------------------------------------------------------------------- +// 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) { + netdata_log_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++; + netdata_log_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 (strcmp(tagkey, "units") == 0 && (!m->units || strcmp(m->units, tagvalue) != 0)) { + m->units = strdupz(tagvalue); + m->options |= STATSD_METRIC_OPTION_UPDATED_CHART_METADATA; + } + + if (strcmp(tagkey, "name") == 0 && (!m->dimname || strcmp(m->dimname, tagvalue) != 0)) { + m->dimname = strdupz(tagvalue); + m->options |= STATSD_METRIC_OPTION_UPDATED_CHART_METADATA; + } + + if (strcmp(tagkey, "family") == 0 && (!m->family || strcmp(m->family, tagvalue) != 0)) { + m->family = strdupz(tagvalue); + m->options |= STATSD_METRIC_OPTION_UPDATED_CHART_METADATA; + } + } + } + } +} + +static inline size_t statsd_process(char *buffer, size_t size, int require_newlines) { + buffer[size] = '\0'; + netdata_log_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[]; +}; + +struct statsd_udp { + struct collection_thread_status *status; + STATSD_SOCKET_DATA_TYPE type; + +#ifdef HAVE_RECVMMSG + size_t size; + struct iovec *iovecs; + struct mmsghdr *msgs; +#else + int *running; + 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++; + netdata_log_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 + netdata_log_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)) { + netdata_log_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)) { + netdata_log_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) { + netdata_log_error("STATSD: recv() on TCP socket %d failed.", fd); + statsd.socket_errors++; + ret = -1; + } + } + else if (!rc) { + // connection closed + netdata_log_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)) { + netdata_log_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)) { + netdata_log_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) { + netdata_log_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) { + netdata_log_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: { + netdata_log_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); + netdata_log_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; + spinlock_lock(&d->status->spinlock); + d->status->running = false; + spinlock_unlock(&d->status->spinlock); + + collector_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(); +} + +static bool statsd_should_stop(void) { + return !service_running(SERVICE_COLLECTORS); +} + +void *statsd_collector_thread(void *ptr) { + struct collection_thread_status *status = ptr; + spinlock_lock(&status->spinlock); + status->running = true; + spinlock_unlock(&status->spinlock); + + 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"); + + collector_info("STATSD collector thread started with taskid %d", gettid()); + + struct statsd_udp *d = callocz(sizeof(struct statsd_udp), 1); + d->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 + , statsd_should_stop + , 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; + + netdata_log_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++; + + netdata_log_debug(D_STATSD, "Added dimension '%s' to chart '%s' of app '%s', for metric '%s', with type %u, multiplier %d, divisor %d", + 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) { + netdata_log_debug(D_STATSD, "STATSD configuration reading file '%s'", filename); + + char *buffer = mallocz(STATSD_CONF_LINE_MAX + 1); + + FILE *fp = fopen(filename, "r"); + if(!fp) { + netdata_log_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 == '#') { + netdata_log_debug(D_STATSD, "STATSD: ignoring line %zu of file '%s', it is empty.", line, filename); + continue; + } + + netdata_log_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 + netdata_log_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_advanced(DICT_OPTION_SINGLE_THREADED, &dictionary_stats_category_collectors, 0); + + 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 + netdata_log_error("STATSD: ignoring line %zu ('%s') of file '%s', [app] is not defined.", line, s, filename); + + continue; + } + + if(!app) { + netdata_log_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) { + netdata_log_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 == '#') { + netdata_log_error("STATSD: ignoring line %zu of file '%s', name is empty.", line, filename); + continue; + } + if(!value) { + netdata_log_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, true); + } + 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")) { + // this is not supported anymore + // with the implementation of storage engines, all charts have the same storage engine always + // 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 { + netdata_log_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] = { NULL }; + size_t num_words = quoted_strings_splitter_pluginsd(value, words, 10); + + int pattern = 0; + size_t i = 0; + char *metric_name = get_word(words, num_words, i++); + + if(strcmp(metric_name, "pattern") == 0) { + metric_name = get_word(words, num_words, i++); + pattern = 1; + } + + char *dim_name = get_word(words, num_words, i++); + char *type = get_word(words, num_words, i++); + char *multiplier = get_word(words, num_words, i++); + char *divisor = get_word(words, num_words, i++); + char *opts = get_word(words, num_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, true); + } + else { + netdata_log_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 +) { + if(!m->st) + 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) { + netdata_log_debug(D_STATSD, "updating private chart for gauge metric '%s'", m->name); + + if(m->st && unlikely(rrdset_flag_check(m->st, RRDSET_FLAG_OBSOLETE))) + return; + + if(unlikely(!m->st || m->options & STATSD_METRIC_OPTION_UPDATED_CHART_METADATA)) { + m->options &= ~STATSD_METRIC_OPTION_UPDATED_CHART_METADATA; + + 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); + } + + 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) { + netdata_log_debug(D_STATSD, "updating private chart for %s metric '%s'", dim, m->name); + + if(m->st && unlikely(rrdset_flag_check(m->st, RRDSET_FLAG_OBSOLETE))) + return; + + if(unlikely(!m->st || m->options & STATSD_METRIC_OPTION_UPDATED_CHART_METADATA)) { + m->options &= ~STATSD_METRIC_OPTION_UPDATED_CHART_METADATA; + + 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); + } + + 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) { + netdata_log_debug(D_STATSD, "updating private chart for set metric '%s'", m->name); + + if(m->st && unlikely(rrdset_flag_check(m->st, RRDSET_FLAG_OBSOLETE))) + return; + + if(unlikely(!m->st || m->options & STATSD_METRIC_OPTION_UPDATED_CHART_METADATA)) { + m->options &= ~STATSD_METRIC_OPTION_UPDATED_CHART_METADATA; + + 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); + } + + 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) { + netdata_log_debug(D_STATSD, "updating private chart for dictionary metric '%s'", m->name); + + if(m->st && unlikely(rrdset_flag_check(m->st, RRDSET_FLAG_OBSOLETE))) + return; + + if(unlikely(!m->st || m->options & STATSD_METRIC_OPTION_UPDATED_CHART_METADATA)) { + m->options &= ~STATSD_METRIC_OPTION_UPDATED_CHART_METADATA; + + 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); + } + + 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) { + netdata_log_debug(D_STATSD, "updating private chart for %s metric '%s'", dim, m->name); + + if(m->st && unlikely(rrdset_flag_check(m->st, RRDSET_FLAG_OBSOLETE))) + return; + + if(unlikely(!m->st || m->options & STATSD_METRIC_OPTION_UPDATED_CHART_METADATA)) { + m->options &= ~STATSD_METRIC_OPTION_UPDATED_CHART_METADATA; + + 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); + } + + 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 metric_check_obsoletion(STATSD_METRIC *m) { + if(statsd.set_obsolete_after && + !rrdset_flag_check(m->st, RRDSET_FLAG_OBSOLETE) && + m->options & STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED && + m->last_collected + statsd.set_obsolete_after < now_realtime_sec()) { + rrdset_is_obsolete___safe_from_collector_thread(m->st); + m->options |= STATSD_METRIC_OPTION_OBSOLETE; + } +} + +static inline void statsd_flush_gauge(STATSD_METRIC *m) { + netdata_log_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); + + metric_check_obsoletion(m); +} + +static inline void statsd_flush_counter_or_meter(STATSD_METRIC *m, const char *dim, const char *family) { + netdata_log_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); + + metric_check_obsoletion(m); +} + +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) { + netdata_log_debug(D_STATSD, "flushing set metric '%s'", m->name); + + int updated = 0; + if(unlikely(!m->reset && m->count)) { + m->last = (collected_number)dictionary_entries(m->set.dict); + + 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); + + metric_check_obsoletion(m); +} + +static inline void statsd_flush_dictionary(STATSD_METRIC *m) { + netdata_log_debug(D_STATSD, "flushing dictionary metric '%s'", m->name); + + int updated = 0; + if(unlikely(!m->reset && m->count)) { + m->last = (collected_number)dictionary_entries(m->dictionary.dict); + + 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(dictionary_entries(m->dictionary.dict) >= statsd.dictionary_max_unique) { + if(!(m->options & STATSD_METRIC_OPTION_COLLECTION_FULL_LOGGED)) { + m->options |= STATSD_METRIC_OPTION_COLLECTION_FULL_LOGGED; + collector_info( + "STATSD dictionary '%s' reach max of %zu items - try increasing 'dictionaries max unique dimensions' in netdata.conf", + m->name, + dictionary_entries(m->dictionary.dict)); + } + } + + metric_check_obsoletion(m); +} + +static inline void statsd_flush_timer_or_histogram(STATSD_METRIC *m, const char *dim, const char *family, const char *units) { + netdata_log_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); + + netdata_log_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); + + metric_check_obsoletion(m); +} + +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) + netdata_log_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; + netdata_log_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))) { + netdata_log_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) == SP_MATCHED_POSITIVE) { + + 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->collector.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->collector.options |= dim->options; + return dim->rd; +} + +static inline void statsd_update_app_chart(STATSD_APP *app, STATSD_APP_CHART *chart) { + netdata_log_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); + } + + 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)) { + netdata_log_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); + netdata_log_debug(D_STATSD, "completed update of chart '%s' for app '%s'", chart->id, app->name); +} + +static inline void statsd_update_all_app_charts(void) { + // netdata_log_debug(D_STATSD, "updating app charts"); + + STATSD_APP *app; + for(app = statsd.apps; app ;app = app->next) { + // netdata_log_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); + } + } + } + + // netdata_log_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))) { + nd_log(NDLS_ACCESS, NDLP_DEBUG, "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)) { + netdata_log_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); + + collector_info("STATSD: metric '%s' will not be charted, because the hard limit of the maximum number " + "of charts (%u) 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)) { + netdata_log_debug(D_STATSD, "STATSD: metric '%s' will be charted.", m->name); + m->options |= STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED; + } else { + netdata_log_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 + STATSD_METRIC *m_prev; + for(m_prev = m = index->first_useful; m ; m = m->next_useful) { + flush_metric(m); + if (m->options & STATSD_METRIC_OPTION_OBSOLETE) { + if (m == index->first_useful) + index->first_useful = m->next_useful; + else + m_prev->next_useful = m->next_useful; + dictionary_del(index->dict, m->name); + index->useful--; + index->metrics--; + statsd.private_charts--; + } else + m_prev = 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; + collector_info("cleaning up..."); + + if (statsd.collection_threads_status) { + int i; + for (i = 0; i < statsd.threads; i++) { + spinlock_lock(&statsd.collection_threads_status[i].spinlock); + if(statsd.collection_threads_status[i].running) { + collector_info("STATSD: stopping data collection thread %d...", i + 1); + netdata_thread_cancel(statsd.collection_threads_status[i].thread); + } + else { + collector_info("STATSD: data collection thread %d found stopped.", i + 1); + } + spinlock_unlock(&statsd.collection_threads_status[i].spinlock); + } + } + + collector_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); + + collector_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_advanced(STATSD_DICTIONARY_OPTIONS, &dictionary_stats_category_collectors, 0); + statsd.meters.dict = dictionary_create_advanced(STATSD_DICTIONARY_OPTIONS, &dictionary_stats_category_collectors, 0); + statsd.counters.dict = dictionary_create_advanced(STATSD_DICTIONARY_OPTIONS, &dictionary_stats_category_collectors, 0); + statsd.histograms.dict = dictionary_create_advanced(STATSD_DICTIONARY_OPTIONS, &dictionary_stats_category_collectors, 0); + statsd.dictionaries.dict = dictionary_create_advanced(STATSD_DICTIONARY_OPTIONS, &dictionary_stats_category_collectors, 0); + statsd.sets.dict = dictionary_create_advanced(STATSD_DICTIONARY_OPTIONS, &dictionary_stats_category_collectors, 0); + statsd.timers.dict = dictionary_create_advanced(STATSD_DICTIONARY_OPTIONS, &dictionary_stats_category_collectors, 0); + + 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) { + collector_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, true); + 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.set_obsolete_after = (size_t)config_get_number(CONFIG_SECTION_STATSD, "set charts as obsolete after secs", (long long)statsd.set_obsolete_after); + 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)) { + collector_error("STATSD: invalid histograms and timers percentile %0.5f given", statsd.histogram_percentile); + statsd.histogram_percentile = 95.0; + } + { + char buffer[314 + 1]; + snprintfz(buffer, sizeof(buffer) - 1, "%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) { + collector_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) { + collector_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_IN[%d]", i + 1); + spinlock_init(&statsd.collection_threads_status[i].spinlock); + 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 = NULL; + RRDDIM *rd_metrics_gauge = NULL; + RRDDIM *rd_metrics_counter = NULL; + RRDDIM *rd_metrics_timer = NULL; + RRDDIM *rd_metrics_meter = NULL; + RRDDIM *rd_metrics_histogram = NULL; + RRDDIM *rd_metrics_set = NULL; + RRDDIM *rd_metrics_dictionary = NULL; + RRDSET *st_useful_metrics = NULL; + RRDDIM *rd_useful_metrics_gauge = NULL; + RRDDIM *rd_useful_metrics_counter = NULL; + RRDDIM *rd_useful_metrics_timer = NULL; + RRDDIM *rd_useful_metrics_meter = NULL; + RRDDIM *rd_useful_metrics_histogram = NULL; + RRDDIM *rd_useful_metrics_set = NULL; + RRDDIM *rd_useful_metrics_dictionary = NULL; + RRDSET *st_events = NULL; + RRDDIM *rd_events_gauge = NULL; + RRDDIM *rd_events_counter = NULL; + RRDDIM *rd_events_timer = NULL; + RRDDIM *rd_events_meter = NULL; + RRDDIM *rd_events_histogram = NULL; + RRDDIM *rd_events_set = NULL; + RRDDIM *rd_events_dictionary = NULL; + RRDDIM *rd_events_unknown = NULL; + RRDDIM *rd_events_errors = NULL; + RRDSET *st_reads = NULL; + RRDDIM *rd_reads_tcp = NULL; + RRDDIM *rd_reads_udp = NULL; + RRDSET *st_bytes = NULL; + RRDDIM *rd_bytes_tcp = NULL; + RRDDIM *rd_bytes_udp = NULL; + RRDSET *st_packets = NULL; + RRDDIM *rd_packets_tcp = NULL; + RRDDIM *rd_packets_udp = NULL; + RRDSET *st_tcp_connects = NULL; + RRDDIM *rd_tcp_connects = NULL; + RRDDIM *rd_tcp_disconnects = NULL; + RRDSET *st_tcp_connected = NULL; + RRDDIM *rd_tcp_connected = NULL; + RRDSET *st_pcharts = NULL; + RRDDIM *rd_pcharts = NULL; + + if(global_statistics_enabled) { + 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); + rd_metrics_gauge = rrddim_add(st_metrics, "gauges", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + rd_metrics_counter = rrddim_add(st_metrics, "counters", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + rd_metrics_timer = rrddim_add(st_metrics, "timers", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + rd_metrics_meter = rrddim_add(st_metrics, "meters", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + rd_metrics_histogram = rrddim_add(st_metrics, "histograms", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + rd_metrics_set = rrddim_add(st_metrics, "sets", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + rd_metrics_dictionary = rrddim_add(st_metrics, "dictionaries", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + + 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); + rd_useful_metrics_gauge = rrddim_add(st_useful_metrics, "gauges", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + rd_useful_metrics_counter = rrddim_add(st_useful_metrics, "counters", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + rd_useful_metrics_timer = rrddim_add(st_useful_metrics, "timers", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + rd_useful_metrics_meter = rrddim_add(st_useful_metrics, "meters", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + rd_useful_metrics_histogram = rrddim_add(st_useful_metrics, "histograms", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + rd_useful_metrics_set = rrddim_add(st_useful_metrics, "sets", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + rd_useful_metrics_dictionary = rrddim_add(st_useful_metrics, "dictionaries", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + + 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); + rd_events_gauge = rrddim_add(st_events, "gauges", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + rd_events_counter = rrddim_add(st_events, "counters", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + rd_events_timer = rrddim_add(st_events, "timers", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + rd_events_meter = rrddim_add(st_events, "meters", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + rd_events_histogram = rrddim_add(st_events, "histograms", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + rd_events_set = rrddim_add(st_events, "sets", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + rd_events_dictionary = rrddim_add(st_events, "dictionaries", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + rd_events_unknown = rrddim_add(st_events, "unknown", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + rd_events_errors = rrddim_add(st_events, "errors", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + + 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); + rd_reads_tcp = rrddim_add(st_reads, "tcp", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + rd_reads_udp = rrddim_add(st_reads, "udp", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + + 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); + rd_bytes_tcp = rrddim_add(st_bytes, "tcp", NULL, 8, BITS_IN_A_KILOBIT, RRD_ALGORITHM_INCREMENTAL); + rd_bytes_udp = rrddim_add(st_bytes, "udp", NULL, 8, BITS_IN_A_KILOBIT, RRD_ALGORITHM_INCREMENTAL); + + 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); + rd_packets_tcp = rrddim_add(st_packets, "tcp", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + rd_packets_udp = rrddim_add(st_packets, "udp", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + + 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); + rd_tcp_connects = rrddim_add(st_tcp_connects, "connects", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + rd_tcp_disconnects = rrddim_add(st_tcp_connects, "disconnects", NULL, -1, 1, RRD_ALGORITHM_INCREMENTAL); + + 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); + rd_tcp_connected = rrddim_add(st_tcp_connected, "connected", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + + 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); + 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(service_running(SERVICE_COLLECTORS)) { + worker_is_idle(); + 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(!service_running(SERVICE_COLLECTORS))) + break; + + if(global_statistics_enabled) { + 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; +} |