diff options
Diffstat (limited to 'collectors/statsd.plugin/statsd.c')
| -rw-r--r-- | collectors/statsd.plugin/statsd.c | 2556 |
1 files changed, 2556 insertions, 0 deletions
diff --git a/collectors/statsd.plugin/statsd.c b/collectors/statsd.plugin/statsd.c new file mode 100644 index 000000000..c92bfd1c2 --- /dev/null +++ b/collectors/statsd.plugin/statsd.c @@ -0,0 +1,2556 @@ +// SPDX-License-Identifier: GPL-3.0-or-later + +#include "statsd.h" + +#define STATSD_CHART_PREFIX "statsd" + +#define PLUGIN_STATSD_NAME "statsd.plugin" + +// -------------------------------------------------------------------------------------- + +// #define STATSD_MULTITHREADED 1 + +#ifdef STATSD_MULTITHREADED +// DO NOT ENABLE MULTITHREADING - IT IS NOT WELL TESTED +#define STATSD_AVL_TREE avl_tree_lock +#define STATSD_AVL_INSERT avl_insert_lock +#define STATSD_AVL_SEARCH avl_search_lock +#define STATSD_AVL_INDEX_INIT { .avl_tree = { NULL, statsd_metric_compare }, .rwlock = AVL_LOCK_INITIALIZER } +#define STATSD_FIRST_PTR_MUTEX netdata_mutex_t first_mutex +#define STATSD_FIRST_PTR_MUTEX_INIT .first_mutex = NETDATA_MUTEX_INITIALIZER +#define STATSD_FIRST_PTR_MUTEX_LOCK(index) netdata_mutex_lock(&((index)->first_mutex)) +#define STATSD_FIRST_PTR_MUTEX_UNLOCK(index) netdata_mutex_unlock(&((index)->first_mutex)) +#define STATSD_DICTIONARY_OPTIONS DICTIONARY_FLAG_DEFAULT +#else +#define STATSD_AVL_TREE avl_tree +#define STATSD_AVL_INSERT avl_insert +#define STATSD_AVL_SEARCH avl_search +#define STATSD_AVL_INDEX_INIT { .root = NULL, .compar = statsd_metric_compare } +#define STATSD_FIRST_PTR_MUTEX +#define STATSD_FIRST_PTR_MUTEX_INIT +#define STATSD_FIRST_PTR_MUTEX_LOCK(index) +#define STATSD_FIRST_PTR_MUTEX_UNLOCK(index) +#define STATSD_DICTIONARY_OPTIONS DICTIONARY_FLAG_SINGLE_THREADED +#endif + +#define STATSD_DECIMAL_DETAIL 1000 // floating point values get multiplied by this, with the same divisor + +// -------------------------------------------------------------------------------------------------------------------- +// data specific to each metric type + +typedef struct statsd_metric_gauge { + LONG_DOUBLE value; +} STATSD_METRIC_GAUGE; + +typedef struct statsd_metric_counter { // counter and meter + long long value; +} STATSD_METRIC_COUNTER; + +typedef struct statsd_histogram_extensions { + netdata_mutex_t mutex; + + // average is stored in metric->last + collected_number last_min; + collected_number last_max; + collected_number last_percentile; + collected_number last_median; + collected_number last_stddev; + collected_number last_sum; + + int zeroed; + + RRDDIM *rd_min; + RRDDIM *rd_max; + RRDDIM *rd_percentile; + RRDDIM *rd_median; + RRDDIM *rd_stddev; + RRDDIM *rd_sum; + + size_t size; + size_t used; + LONG_DOUBLE *values; // dynamic array of values collected +} STATSD_METRIC_HISTOGRAM_EXTENSIONS; + +typedef struct statsd_metric_histogram { // histogram and timer + STATSD_METRIC_HISTOGRAM_EXTENSIONS *ext; +} STATSD_METRIC_HISTOGRAM; + +typedef struct statsd_metric_set { + DICTIONARY *dict; + size_t unique; +} STATSD_METRIC_SET; + + +// -------------------------------------------------------------------------------------------------------------------- +// this is a metric - for all types of metrics + +typedef enum statsd_metric_options { + STATSD_METRIC_OPTION_NONE = 0x00000000, // no options set + STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED = 0x00000001, // do not update the chart dimension, when this metric is not collected + STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED = 0x00000002, // render a private chart for this metric + STATSD_METRIC_OPTION_PRIVATE_CHART_CHECKED = 0x00000004, // the metric has been checked if it should get private chart or not + STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT = 0x00000008, // show the count of events for this private chart + STATSD_METRIC_OPTION_CHECKED_IN_APPS = 0x00000010, // set when this metric has been checked against apps + STATSD_METRIC_OPTION_USED_IN_APPS = 0x00000020, // set when this metric is used in apps + STATSD_METRIC_OPTION_CHECKED = 0x00000040, // set when the charting thread checks this metric for use in charts (its usefulness) + STATSD_METRIC_OPTION_USEFUL = 0x00000080, // set when the charting thread finds the metric useful (i.e. used in a chart) +} STATS_METRIC_OPTIONS; + +typedef enum statsd_metric_type { + STATSD_METRIC_TYPE_GAUGE, + STATSD_METRIC_TYPE_COUNTER, + STATSD_METRIC_TYPE_METER, + STATSD_METRIC_TYPE_TIMER, + STATSD_METRIC_TYPE_HISTOGRAM, + STATSD_METRIC_TYPE_SET +} STATSD_METRIC_TYPE; + + +typedef struct statsd_metric { + avl avl; // indexing - has to be first + + const char *name; // the name of the metric + uint32_t hash; // hash of the name + + STATSD_METRIC_TYPE type; + + // metadata about data collection + collected_number events; // the number of times this metric has been collected (never resets) + size_t count; // the number of times this metric has been collected since the last flush + + // the actual collected data + union { + STATSD_METRIC_GAUGE gauge; + STATSD_METRIC_COUNTER counter; + STATSD_METRIC_HISTOGRAM histogram; + STATSD_METRIC_SET set; + }; + + // 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; + struct statsd_metric *next_useful; +} STATSD_METRIC; + + +// -------------------------------------------------------------------------------------------------------------------- +// each type of metric has its own index + +typedef struct statsd_index { + char *name; // the name of the index of metrics + size_t events; // the number of events processed for this index + size_t metrics; // the number of metrics in this index + size_t useful; // the number of useful metrics in this index + + STATSD_AVL_TREE index; // the AVL tree + + STATSD_METRIC *first; // the linked list of metrics (new metrics are added in front) + STATSD_METRIC *first_useful; // the linked list of useful metrics (new metrics are added in front) + STATSD_FIRST_PTR_MUTEX; // when mutli-threading is enabled, a lock to protect the linked list + + STATS_METRIC_OPTIONS default_options; // default options for all metrics in this index +} STATSD_INDEX; + +static int statsd_metric_compare(void* a, void* b); + +// -------------------------------------------------------------------------------------------------------------------- +// synthetic charts + +typedef enum statsd_app_chart_dimension_value_type { + STATSD_APP_CHART_DIM_VALUE_TYPE_EVENTS, + STATSD_APP_CHART_DIM_VALUE_TYPE_LAST, + STATSD_APP_CHART_DIM_VALUE_TYPE_AVERAGE, + STATSD_APP_CHART_DIM_VALUE_TYPE_SUM, + STATSD_APP_CHART_DIM_VALUE_TYPE_MIN, + STATSD_APP_CHART_DIM_VALUE_TYPE_MAX, + STATSD_APP_CHART_DIM_VALUE_TYPE_PERCENTILE, + STATSD_APP_CHART_DIM_VALUE_TYPE_MEDIAN, + STATSD_APP_CHART_DIM_VALUE_TYPE_STDDEV +} STATSD_APP_CHART_DIM_VALUE_TYPE; + +typedef struct statsd_app_chart_dimension { + const char *name; // the name of this dimension + const char *metric; // the source metric name of this dimension + uint32_t metric_hash; // hash for fast string comparisons + + SIMPLE_PATTERN *metric_pattern; // set when the 'metric' is a simple pattern + + collected_number multiplier; // the multipler of the dimension + collected_number divisor; // the divisor of the dimension + RRDDIM_FLAGS flags; // the RRDDIM flags for this dimension + + STATSD_APP_CHART_DIM_VALUE_TYPE value_type; // which value to use of the source metric + + RRDDIM *rd; // a pointer to the RRDDIM that has been created for this dimension + collected_number *value_ptr; // a pointer to the source metric value + RRD_ALGORITHM algorithm; // the algorithm of this dimension + + struct statsd_app_chart_dimension *next; // the next dimension for this chart +} STATSD_APP_CHART_DIM; + +typedef struct statsd_app_chart { + const char *source; + const char *id; + const char *name; + const char *title; + const char *family; + const char *context; + const char *units; + long priority; + RRDSET_TYPE chart_type; + STATSD_APP_CHART_DIM *dimensions; + size_t dimensions_count; + size_t dimensions_linked_count; + + RRDSET *st; + struct statsd_app_chart *next; +} STATSD_APP_CHART; + +typedef struct statsd_app { + const char *name; + SIMPLE_PATTERN *metrics; + STATS_METRIC_OPTIONS default_options; + RRD_MEMORY_MODE rrd_memory_mode; + DICTIONARY *dict; + long rrd_history_entries; + + const char *source; + STATSD_APP_CHART *charts; + struct statsd_app *next; +} STATSD_APP; + +// -------------------------------------------------------------------------------------------------------------------- +// global statsd data + +struct collection_thread_status { + int status; + size_t max_sockets; + + netdata_thread_t thread; + struct rusage rusage; + RRDSET *st_cpu; + RRDDIM *rd_user; + RRDDIM *rd_system; +}; + +static struct statsd { + STATSD_INDEX gauges; + STATSD_INDEX counters; + STATSD_INDEX timers; + STATSD_INDEX histograms; + STATSD_INDEX meters; + STATSD_INDEX sets; + size_t unknown_types; + size_t socket_errors; + size_t tcp_socket_connects; + size_t tcp_socket_disconnects; + size_t tcp_socket_connected; + size_t tcp_socket_reads; + size_t tcp_packets_received; + size_t tcp_bytes_read; + size_t udp_socket_reads; + size_t udp_packets_received; + size_t udp_bytes_read; + + int enabled; + int update_every; + SIMPLE_PATTERN *charts_for; + + size_t tcp_idle_timeout; + collected_number decimal_detail; + size_t private_charts; + size_t max_private_charts; + size_t max_private_charts_hard; + RRD_MEMORY_MODE private_charts_memory_mode; + long private_charts_rrd_history_entries; + unsigned int private_charts_hidden:1; + + STATSD_APP *apps; + size_t recvmmsg_size; + size_t histogram_increase_step; + double histogram_percentile; + char *histogram_percentile_str; + + int threads; + struct collection_thread_status *collection_threads_status; + + LISTEN_SOCKETS sockets; +} statsd = { + .enabled = 1, + .max_private_charts = 200, + .max_private_charts_hard = 1000, + .private_charts_hidden = 0, + .recvmmsg_size = 10, + .decimal_detail = STATSD_DECIMAL_DETAIL, + + .gauges = { + .name = "gauge", + .events = 0, + .metrics = 0, + .index = STATSD_AVL_INDEX_INIT, + .default_options = STATSD_METRIC_OPTION_NONE, + .first = NULL, + STATSD_FIRST_PTR_MUTEX_INIT + }, + .counters = { + .name = "counter", + .events = 0, + .metrics = 0, + .index = STATSD_AVL_INDEX_INIT, + .default_options = STATSD_METRIC_OPTION_NONE, + .first = NULL, + STATSD_FIRST_PTR_MUTEX_INIT + }, + .timers = { + .name = "timer", + .events = 0, + .metrics = 0, + .index = STATSD_AVL_INDEX_INIT, + .default_options = STATSD_METRIC_OPTION_NONE, + .first = NULL, + STATSD_FIRST_PTR_MUTEX_INIT + }, + .histograms = { + .name = "histogram", + .events = 0, + .metrics = 0, + .index = STATSD_AVL_INDEX_INIT, + .default_options = STATSD_METRIC_OPTION_NONE, + .first = NULL, + STATSD_FIRST_PTR_MUTEX_INIT + }, + .meters = { + .name = "meter", + .events = 0, + .metrics = 0, + .index = STATSD_AVL_INDEX_INIT, + .default_options = STATSD_METRIC_OPTION_NONE, + .first = NULL, + STATSD_FIRST_PTR_MUTEX_INIT + }, + .sets = { + .name = "set", + .events = 0, + .metrics = 0, + .index = STATSD_AVL_INDEX_INIT, + .default_options = STATSD_METRIC_OPTION_NONE, + .first = NULL, + STATSD_FIRST_PTR_MUTEX_INIT + }, + + .tcp_idle_timeout = 600, + + .apps = NULL, + .histogram_percentile = 95.0, + .histogram_increase_step = 10, + .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 int statsd_metric_compare(void* a, void* b) { + if(((STATSD_METRIC *)a)->hash < ((STATSD_METRIC *)b)->hash) return -1; + else if(((STATSD_METRIC *)a)->hash > ((STATSD_METRIC *)b)->hash) return 1; + else return strcmp(((STATSD_METRIC *)a)->name, ((STATSD_METRIC *)b)->name); +} + +static inline STATSD_METRIC *statsd_metric_index_find(STATSD_INDEX *index, const char *name, uint32_t hash) { + STATSD_METRIC tmp; + tmp.name = name; + tmp.hash = (hash)?hash:simple_hash(tmp.name); + + return (STATSD_METRIC *)STATSD_AVL_SEARCH(&index->index, (avl *)&tmp); +} + +static inline STATSD_METRIC *statsd_find_or_add_metric(STATSD_INDEX *index, const char *name, STATSD_METRIC_TYPE type) { + debug(D_STATSD, "searching for metric '%s' under '%s'", name, index->name); + + uint32_t hash = simple_hash(name); + + STATSD_METRIC *m = statsd_metric_index_find(index, name, hash); + if(unlikely(!m)) { + debug(D_STATSD, "Creating new %s metric '%s'", index->name, name); + + m = (STATSD_METRIC *)callocz(sizeof(STATSD_METRIC), 1); + m->name = strdupz(name); + m->hash = hash; + m->type = type; + m->options = index->default_options; + + if(type == STATSD_METRIC_TYPE_HISTOGRAM || type == STATSD_METRIC_TYPE_TIMER) { + m->histogram.ext = callocz(sizeof(STATSD_METRIC_HISTOGRAM_EXTENSIONS), 1); + netdata_mutex_init(&m->histogram.ext->mutex); + } + STATSD_METRIC *n = (STATSD_METRIC *)STATSD_AVL_INSERT(&index->index, (avl *)m); + if(unlikely(n != m)) { + freez((void *)m->histogram.ext); + freez((void *)m->name); + freez((void *)m); + m = n; + } + else { + STATSD_FIRST_PTR_MUTEX_LOCK(index); + index->metrics++; + m->next = index->first; + index->first = m; + STATSD_FIRST_PTR_MUTEX_UNLOCK(index); + } + } + + index->events++; + return m; +} + + +// -------------------------------------------------------------------------------------------------------------------- +// statsd parsing numbers + +static inline LONG_DOUBLE statsd_parse_float(const char *v, LONG_DOUBLE def) { + LONG_DOUBLE value; + + if(likely(v && *v)) { + char *e = NULL; + value = str2ld(v, &e); + if(unlikely(e && *e)) + error("STATSD: excess data '%s' after value '%s'", e, v); + } + else + value = def; + + return value; +} + +static inline LONG_DOUBLE statsd_parse_sampling_rate(const char *v) { + LONG_DOUBLE sampling_rate = statsd_parse_float(v, 1.0); + if(unlikely(isless(sampling_rate, 0.001))) sampling_rate = 0.001; + if(unlikely(isgreater(sampling_rate, 1.0))) sampling_rate = 1.0; + return sampling_rate; +} + +static inline long long statsd_parse_int(const char *v, long long def) { + long long value; + + if(likely(v && *v)) { + char *e = NULL; + value = str2ll(v, &e); + if(unlikely(e && *e)) + error("STATSD: excess data '%s' after value '%s'", e, v); + } + else + value = def; + + return value; +} + + +// -------------------------------------------------------------------------------------------------------------------- +// statsd processors per metric type + +static inline void statsd_reset_metric(STATSD_METRIC *m) { + m->reset = 0; + m->count = 0; +} + +static inline int value_is_zinit(const char *value) { + return (value && *value == 'z' && *++value == 'i' && *++value == 'n' && *++value == 'i' && *++value == 't' && *++value == '\0'); +} + +#define is_metric_checked(m) ((m)->options & STATSD_METRIC_OPTION_CHECKED) +#define is_metric_useful_for_collection(m) (!is_metric_checked(m) || ((m)->options & STATSD_METRIC_OPTION_USEFUL)) + +static inline void statsd_process_gauge(STATSD_METRIC *m, const char *value, const char *sampling) { + if(!is_metric_useful_for_collection(m)) return; + + if(unlikely(!value || !*value)) { + error("STATSD: metric '%s' of type gauge, with empty value is ignored.", m->name); + return; + } + + if(unlikely(m->reset)) { + // no need to reset anything specific for gauges + statsd_reset_metric(m); + } + + if(unlikely(value_is_zinit(value))) { + // magic loading of metric, without affecting anything + } + else { + if (unlikely(*value == '+' || *value == '-')) + m->gauge.value += statsd_parse_float(value, 1.0) / statsd_parse_sampling_rate(sampling); + else + m->gauge.value = statsd_parse_float(value, 1.0); + + m->events++; + m->count++; + } +} + +static inline void statsd_process_counter_or_meter(STATSD_METRIC *m, const char *value, const char *sampling) { + if(!is_metric_useful_for_collection(m)) return; + + // we accept empty values for counters + + if(unlikely(m->reset)) statsd_reset_metric(m); + + if(unlikely(value_is_zinit(value))) { + // magic loading of metric, without affecting anything + } + else { + m->counter.value += llrintl((LONG_DOUBLE) statsd_parse_int(value, 1) / statsd_parse_sampling_rate(sampling)); + + m->events++; + m->count++; + } +} + +#define statsd_process_counter(m, value, sampling) statsd_process_counter_or_meter(m, value, sampling) +#define statsd_process_meter(m, value, sampling) statsd_process_counter_or_meter(m, value, sampling) + +static inline void statsd_process_histogram_or_timer(STATSD_METRIC *m, const char *value, const char *sampling, const char *type) { + if(!is_metric_useful_for_collection(m)) return; + + if(unlikely(!value || !*value)) { + error("STATSD: metric of type %s, with empty value is ignored.", type); + return; + } + + if(unlikely(m->reset)) { + m->histogram.ext->used = 0; + statsd_reset_metric(m); + } + + if(unlikely(value_is_zinit(value))) { + // magic loading of metric, without affecting anything + } + else { + LONG_DOUBLE v = statsd_parse_float(value, 1.0); + LONG_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 = llrintl(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(LONG_DOUBLE) * m->histogram.ext->size); + netdata_mutex_unlock(&m->histogram.ext->mutex); + } + + m->histogram.ext->values[m->histogram.ext->used++] = v; + } + + m->events++; + m->count++; + } +} + +#define statsd_process_timer(m, value, sampling) statsd_process_histogram_or_timer(m, value, sampling, "timer") +#define statsd_process_histogram(m, value, sampling) statsd_process_histogram_or_timer(m, value, sampling, "histogram") + +static inline void statsd_process_set(STATSD_METRIC *m, const char *value) { + if(!is_metric_useful_for_collection(m)) return; + + if(unlikely(!value || !*value)) { + error("STATSD: metric of type set, with empty value is ignored."); + return; + } + + if(unlikely(m->reset)) { + if(likely(m->set.dict)) { + dictionary_destroy(m->set.dict); + m->set.dict = NULL; + } + statsd_reset_metric(m); + } + + if (unlikely(!m->set.dict)) { + m->set.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS | DICTIONARY_FLAG_VALUE_LINK_DONT_CLONE); + m->set.unique = 0; + } + + if(unlikely(value_is_zinit(value))) { + // magic loading of metric, without affecting anything + } + else { + void *t = dictionary_get(m->set.dict, value); + if (unlikely(!t)) { + dictionary_set(m->set.dict, value, NULL, 1); + m->set.unique++; + } + + m->events++; + m->count++; + } +} + + +// -------------------------------------------------------------------------------------------------------------------- +// statsd parsing + +static void statsd_process_metric(const char *name, const char *value, const char *type, const char *sampling, const char *tags) { + (void)tags; + + debug(D_STATSD, "STATSD: raw metric '%s', value '%s', type '%s', sampling '%s', tags '%s'", name?name:"(null)", value?value:"(null)", type?type:"(null)", sampling?sampling:"(null)", tags?tags:"(null)"); + + if(unlikely(!name || !*name)) return; + if(unlikely(!type || !*type)) type = "m"; + + char t0 = type[0], t1 = type[1]; + + if(unlikely(t0 == 'g' && t1 == '\0')) { + statsd_process_gauge( + statsd_find_or_add_metric(&statsd.gauges, name, STATSD_METRIC_TYPE_GAUGE), + value, sampling); + } + else if(unlikely((t0 == 'c' || t0 == 'C') && t1 == '\0')) { + // etsy/statsd uses 'c' + // brubeck uses 'C' + statsd_process_counter( + statsd_find_or_add_metric(&statsd.counters, name, STATSD_METRIC_TYPE_COUNTER), + value, sampling); + } + else if(unlikely(t0 == 'm' && t1 == '\0')) { + statsd_process_meter( + statsd_find_or_add_metric(&statsd.meters, name, STATSD_METRIC_TYPE_METER), + value, sampling); + } + else if(unlikely(t0 == 'h' && t1 == '\0')) { + statsd_process_histogram( + statsd_find_or_add_metric(&statsd.histograms, name, STATSD_METRIC_TYPE_HISTOGRAM), + value, sampling); + } + else if(unlikely(t0 == 's' && t1 == '\0')) { + statsd_process_set( + statsd_find_or_add_metric(&statsd.sets, name, STATSD_METRIC_TYPE_SET), + value); + } + else if(unlikely(t0 == 'm' && t1 == 's' && type[2] == '\0')) { + statsd_process_timer( + statsd_find_or_add_metric(&statsd.timers, name, STATSD_METRIC_TYPE_TIMER), + value, sampling); + } + else { + statsd.unknown_types++; + error("STATSD: metric '%s' with value '%s' is sent with unknown metric type '%s'", name, value?value:"", type); + } +} + +static inline const char *statsd_parse_skip_up_to(const char *s, char d1, char d2) { + char c; + + for(c = *s; c && c != d1 && c != d2 && 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 = end; + return start; + } + + while(start <= end && (*start == ' ' || *start == '\t')) + start++; + + *end = '\0'; + end--; + while(end >= start && (*end == ' ' || *end == '\t')) + *end-- = '\0'; + + return start; +} + +static inline size_t statsd_process(char *buffer, size_t size, int require_newlines) { + buffer[size] = '\0'; + debug(D_STATSD, "RECEIVED: %zu bytes: '%s'", size, buffer); + + const char *s = buffer; + while(*s) { + const char *name = NULL, *value = NULL, *type = NULL, *sampling = NULL, *tags = NULL; + char *name_end = NULL, *value_end = NULL, *type_end = NULL, *sampling_end = NULL, *tags_end = NULL; + + s = name_end = (char *)statsd_parse_skip_up_to(name = s, ':', '|'); + if(name == name_end) { + s = statsd_parse_skip_spaces(s); + continue; + } + + if(likely(*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, '|', '@'); + + if(likely(*s == '|' || *s == '@')) { + s = sampling_end = (char *) statsd_parse_skip_up_to(sampling = ++s, '|', '#'); + if(*sampling == '@') sampling++; + } + + if(likely(*s == '|' || *s == '#')) { + s = tags_end = (char *) statsd_parse_skip_up_to(tags = ++s, '|', '|'); + if(*tags == '#') tags++; + } + + // skip everything until the end of the line + while(*s && *s != '\n') s++; + + if(unlikely(require_newlines && *s != '\n' && s > buffer)) { + // move the remaining data to the beginning + size -= (name - buffer); + memmove(buffer, name, size); + return size; + } + else + s = statsd_parse_skip_spaces(s); + + statsd_process_metric( + statsd_parse_field_trim(name, name_end) + , statsd_parse_field_trim(value, value_end) + , statsd_parse_field_trim(type, type_end) + , statsd_parse_field_trim(sampling, sampling_end) + , statsd_parse_field_trim(tags, tags_end) + ); + } + + return 0; +} + + +// -------------------------------------------------------------------------------------------------------------------- +// statsd pollfd interface + +#define STATSD_TCP_BUFFER_SIZE 65536 // minimize tcp reads +#define STATSD_UDP_BUFFER_SIZE 9000 // this should be up to MTU + +typedef enum { + STATSD_SOCKET_DATA_TYPE_TCP, + STATSD_SOCKET_DATA_TYPE_UDP +} STATSD_SOCKET_DATA_TYPE; + +struct statsd_tcp { + STATSD_SOCKET_DATA_TYPE type; + size_t size; + size_t len; + char buffer[]; +}; + +#ifdef HAVE_RECVMMSG +struct statsd_udp { + int *running; + STATSD_SOCKET_DATA_TYPE type; + size_t size; + struct iovec *iovecs; + struct mmsghdr *msgs; +}; +#else +struct statsd_udp { + int *running; + STATSD_SOCKET_DATA_TYPE type; + char buffer[STATSD_UDP_BUFFER_SIZE]; +}; +#endif + +// new TCP client connected +static void *statsd_add_callback(POLLINFO *pi, short int *events, void *data) { + (void)pi; + (void)data; + + *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++; + + return t; +} + +// TCP client disconnected +static void statsd_del_callback(POLLINFO *pi) { + struct statsd_tcp *t = pi->data; + + if(likely(t)) { + if(t->type == STATSD_SOCKET_DATA_TYPE_TCP) { + if(t->len != 0) { + statsd.socket_errors++; + error("STATSD: client is probably sending unterminated metrics. Closed socket left with '%s'. Trying to process it.", t->buffer); + statsd_process(t->buffer, t->len, 0); + } + statsd.tcp_socket_disconnects++; + statsd.tcp_socket_connected--; + } + else + error("STATSD: internal error: received socket data type is %d, but expected %d", (int)t->type, (int)STATSD_SOCKET_DATA_TYPE_TCP); + + freez(t); + } +} + +// Receive data +static int statsd_rcv_callback(POLLINFO *pi, short int *events) { + *events = POLLIN; + + int fd = pi->fd; + + switch(pi->socktype) { + case SOCK_STREAM: { + struct statsd_tcp *d = (struct statsd_tcp *)pi->data; + if(unlikely(!d)) { + error("STATSD: internal error: expected TCP data pointer is NULL"); + statsd.socket_errors++; + return -1; + } + +#ifdef NETDATA_INTERNAL_CHECKS + if(unlikely(d->type != STATSD_SOCKET_DATA_TYPE_TCP)) { + error("STATSD: internal error: socket data type should be %d, but it is %d", (int)STATSD_SOCKET_DATA_TYPE_TCP, (int)d->type); + statsd.socket_errors++; + return -1; + } +#endif + + int ret = 0; + ssize_t rc; + do { + rc = recv(fd, &d->buffer[d->len], d->size - d->len, MSG_DONTWAIT); + if (rc < 0) { + // read failed + if (errno != EWOULDBLOCK && errno != EAGAIN && errno != EINTR) { + error("STATSD: recv() on TCP socket %d failed.", fd); + statsd.socket_errors++; + ret = -1; + } + } + else if (!rc) { + // connection closed + debug(D_STATSD, "STATSD: client disconnected."); + ret = -1; + } + else { + // data received + d->len += rc; + statsd.tcp_socket_reads++; + statsd.tcp_bytes_read += rc; + } + + if(likely(d->len > 0)) { + statsd.tcp_packets_received++; + d->len = statsd_process(d->buffer, d->len, 1); + } + + if(unlikely(ret == -1)) + return -1; + + } while (rc != -1); + break; + } + + case SOCK_DGRAM: { + struct statsd_udp *d = (struct statsd_udp *)pi->data; + if(unlikely(!d)) { + error("STATSD: internal error: expected UDP data pointer is NULL"); + statsd.socket_errors++; + return -1; + } + +#ifdef NETDATA_INTERNAL_CHECKS + if(unlikely(d->type != STATSD_SOCKET_DATA_TYPE_UDP)) { + error("STATSD: internal error: socket data should be %d, but it is %d", (int)d->type, (int)STATSD_SOCKET_DATA_TYPE_UDP); + statsd.socket_errors++; + return -1; + } +#endif + +#ifdef HAVE_RECVMMSG + ssize_t rc; + do { + rc = recvmmsg(fd, d->msgs, (unsigned int)d->size, MSG_DONTWAIT, NULL); + if (rc < 0) { + // read failed + if (errno != EWOULDBLOCK && errno != EAGAIN && errno != EINTR) { + error("STATSD: recvmmsg() on UDP socket %d failed.", fd); + statsd.socket_errors++; + return -1; + } + } else if (rc) { + // data received + statsd.udp_socket_reads++; + statsd.udp_packets_received += rc; + + size_t i; + for (i = 0; i < (size_t)rc; ++i) { + size_t len = (size_t)d->msgs[i].msg_len; + statsd.udp_bytes_read += len; + statsd_process(d->msgs[i].msg_hdr.msg_iov->iov_base, len, 0); + } + } + } while (rc != -1); + +#else // !HAVE_RECVMMSG + ssize_t rc; + do { + rc = recv(fd, d->buffer, STATSD_UDP_BUFFER_SIZE - 1, MSG_DONTWAIT); + if (rc < 0) { + // read failed + if (errno != EWOULDBLOCK && errno != EAGAIN && errno != EINTR) { + error("STATSD: recv() on UDP socket %d failed.", fd); + statsd.socket_errors++; + return -1; + } + } else if (rc) { + // data received + statsd.udp_socket_reads++; + statsd.udp_packets_received++; + statsd.udp_bytes_read += rc; + statsd_process(d->buffer, (size_t) rc, 0); + } + } while (rc != -1); +#endif + + break; + } + + default: { + error("STATSD: internal error: unknown socktype %d on socket %d", pi->socktype, fd); + statsd.socket_errors++; + return -1; + } + } + + return 0; +} + +static int statsd_snd_callback(POLLINFO *pi, short int *events) { + (void)pi; + (void)events; + + error("STATSD: snd_callback() called, but we never requested to send data to statsd clients."); + return -1; +} + +static void statsd_timer_callback(void *timer_data) { + struct collection_thread_status *status = timer_data; + getrusage(RUSAGE_THREAD, &status->rusage); +} + +// -------------------------------------------------------------------------------------------------------------------- +// statsd child thread to collect metrics from network + +void statsd_collector_thread_cleanup(void *data) { + struct statsd_udp *d = data; + *d->running = 0; + + info("cleaning up..."); + +#ifdef HAVE_RECVMMSG + size_t i; + for (i = 0; i < d->size; i++) + freez(d->iovecs[i].iov_base); + + freez(d->iovecs); + freez(d->msgs); +#endif + + freez(d); +} + +void *statsd_collector_thread(void *ptr) { + struct collection_thread_status *status = ptr; + status->status = 1; + + info("STATSD collector thread started with taskid %d", gettid()); + + struct statsd_udp *d = callocz(sizeof(struct statsd_udp), 1); + d->running = &status->status; + + netdata_thread_cleanup_push(statsd_collector_thread_cleanup, d); + +#ifdef HAVE_RECVMMSG + d->type = STATSD_SOCKET_DATA_TYPE_UDP; + d->size = statsd.recvmmsg_size; + d->iovecs = callocz(sizeof(struct iovec), d->size); + d->msgs = callocz(sizeof(struct mmsghdr), d->size); + + size_t i; + for (i = 0; i < d->size; i++) { + d->iovecs[i].iov_base = mallocz(STATSD_UDP_BUFFER_SIZE); + d->iovecs[i].iov_len = STATSD_UDP_BUFFER_SIZE - 1; + d->msgs[i].msg_hdr.msg_iov = &d->iovecs[i]; + d->msgs[i].msg_hdr.msg_iovlen = 1; + } +#endif + + poll_events(&statsd.sockets + , statsd_add_callback + , statsd_del_callback + , statsd_rcv_callback + , statsd_snd_callback + , statsd_timer_callback + , NULL + , (void *)d + , 0 // tcp request timeout, 0 = disabled + , statsd.tcp_idle_timeout // tcp idle timeout, 0 = disabled + , statsd.update_every * 1000 + , ptr // timer_data + , status->max_sockets + ); + + netdata_thread_cleanup_pop(1); + return NULL; +} + + +// -------------------------------------------------------------------------------------------------------------------- +// statsd applications configuration files parsing + +#define STATSD_CONF_LINE_MAX 8192 + +static STATSD_APP_CHART_DIM_VALUE_TYPE string2valuetype(const char *type, size_t line, const char *filename) { + if(!type || !*type) type = "last"; + + if(!strcmp(type, "events")) return STATSD_APP_CHART_DIM_VALUE_TYPE_EVENTS; + else if(!strcmp(type, "last")) return STATSD_APP_CHART_DIM_VALUE_TYPE_LAST; + else if(!strcmp(type, "min")) return STATSD_APP_CHART_DIM_VALUE_TYPE_MIN; + else if(!strcmp(type, "max")) return STATSD_APP_CHART_DIM_VALUE_TYPE_MAX; + else if(!strcmp(type, "sum")) return STATSD_APP_CHART_DIM_VALUE_TYPE_SUM; + else if(!strcmp(type, "average")) return STATSD_APP_CHART_DIM_VALUE_TYPE_AVERAGE; + else if(!strcmp(type, "median")) return STATSD_APP_CHART_DIM_VALUE_TYPE_MEDIAN; + else if(!strcmp(type, "stddev")) return STATSD_APP_CHART_DIM_VALUE_TYPE_STDDEV; + else if(!strcmp(type, "percentile")) return STATSD_APP_CHART_DIM_VALUE_TYPE_PERCENTILE; + + error("STATSD: invalid type '%s' at line %zu of file '%s'. Using 'last'.", type, line, filename); + return STATSD_APP_CHART_DIM_VALUE_TYPE_LAST; +} + +static const char *valuetype2string(STATSD_APP_CHART_DIM_VALUE_TYPE type) { + switch(type) { + case STATSD_APP_CHART_DIM_VALUE_TYPE_EVENTS: return "events"; + case STATSD_APP_CHART_DIM_VALUE_TYPE_LAST: return "last"; + case STATSD_APP_CHART_DIM_VALUE_TYPE_MIN: return "min"; + case STATSD_APP_CHART_DIM_VALUE_TYPE_MAX: return "max"; + case STATSD_APP_CHART_DIM_VALUE_TYPE_SUM: return "sum"; + case STATSD_APP_CHART_DIM_VALUE_TYPE_AVERAGE: return "average"; + case STATSD_APP_CHART_DIM_VALUE_TYPE_MEDIAN: return "median"; + case STATSD_APP_CHART_DIM_VALUE_TYPE_STDDEV: return "stddev"; + case STATSD_APP_CHART_DIM_VALUE_TYPE_PERCENTILE: return "percentile"; + } + + return "unknown"; +} + +static STATSD_APP_CHART_DIM *add_dimension_to_app_chart( + STATSD_APP *app + , STATSD_APP_CHART *chart + , const char *metric_name + , const char *dim_name + , collected_number multiplier + , collected_number divisor + , RRDDIM_FLAGS flags + , 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; + + if(!dim->multiplier) + dim->multiplier = 1; + + if(!dim->divisor) + dim->divisor = 1; + + // append it to the list of dimension + STATSD_APP_CHART_DIM *tdim; + for(tdim = chart->dimensions; tdim && tdim->next ; tdim = tdim->next) ; + if(!tdim) { + dim->next = chart->dimensions; + chart->dimensions = dim; + } + else { + dim->next = tdim->next; + tdim->next = dim; + } + chart->dimensions_count++; + + debug(D_STATSD, "Added dimension '%s' to chart '%s' of app '%s', for metric '%s', with type %u, multiplier " COLLECTED_NUMBER_FORMAT ", divisor " COLLECTED_NUMBER_FORMAT, + dim->name, chart->id, app->name, dim->metric, dim->value_type, dim->multiplier, dim->divisor); + + return dim; +} + +static int statsd_readfile(const char *filename, STATSD_APP *app, STATSD_APP_CHART *chart, DICTIONARY *dict) { + debug(D_STATSD, "STATSD configuration reading file '%s'", filename); + + char *buffer = mallocz(STATSD_CONF_LINE_MAX + 1); + + FILE *fp = fopen(filename, "r"); + if(!fp) { + error("STATSD: cannot open file '%s'.", filename); + freez(buffer); + return -1; + } + + size_t line = 0; + char *s; + while(fgets(buffer, STATSD_CONF_LINE_MAX, fp) != NULL) { + buffer[STATSD_CONF_LINE_MAX] = '\0'; + line++; + + s = trim(buffer); + if (!s || *s == '#') { + debug(D_STATSD, "STATSD: ignoring line %zu of file '%s', it is empty.", line, filename); + continue; + } + + debug(D_STATSD, "STATSD: processing line %zu of file '%s': %s", line, filename, buffer); + + if(*s == 'i' && strncmp(s, "include", 7) == 0) { + s = trim(&s[7]); + if(s && *s) { + char *tmp; + if(*s == '/') + tmp = strdupz(s); + else { + // the file to be included is relative to current file + // find the directory name from the file we already read + char *filename2 = strdupz(filename); // copy filename, since dirname() will change it + char *dir = dirname(filename2); // find the directory part of the filename + tmp = strdupz_path_subpath(dir, s); // compose the new filename to read; + freez(filename2); // free the filename we copied + } + statsd_readfile(tmp, app, chart, dict); + freez(tmp); + } + else + error("STATSD: ignoring line %zu of file '%s', include filename is empty", line, filename); + + continue; + } + + int len = (int) strlen(s); + if (*s == '[' && s[len - 1] == ']') { + // new section + s[len - 1] = '\0'; + s++; + + if (!strcmp(s, "app")) { + // a new app + app = callocz(sizeof(STATSD_APP), 1); + app->name = strdupz("unnamed"); + app->rrd_memory_mode = localhost->rrd_memory_mode; + app->rrd_history_entries = localhost->rrd_history_entries; + + app->next = statsd.apps; + statsd.apps = app; + chart = NULL; + dict = NULL; + + { + char lineandfile[FILENAME_MAX + 1]; + snprintfz(lineandfile, FILENAME_MAX, "%zu@%s", line, filename); + app->source = strdupz(lineandfile); + } + } + else if(app) { + if(!strcmp(s, "dictionary")) { + if(!app->dict) + app->dict = dictionary_create(DICTIONARY_FLAG_SINGLE_THREADED); + + dict = app->dict; + } + else { + dict = NULL; + + // a new chart + chart = callocz(sizeof(STATSD_APP_CHART), 1); + netdata_fix_chart_id(s); + chart->id = strdupz(s); + chart->name = strdupz(s); + chart->title = strdupz("Statsd chart"); + chart->context = strdupz(s); + chart->family = strdupz("overview"); + chart->units = strdupz("value"); + chart->priority = NETDATA_CHART_PRIO_STATSD_PRIVATE; + chart->chart_type = RRDSET_TYPE_LINE; + + chart->next = app->charts; + app->charts = chart; + + { + char lineandfile[FILENAME_MAX + 1]; + snprintfz(lineandfile, FILENAME_MAX, "%zu@%s", line, filename); + chart->source = strdupz(lineandfile); + } + } + } + else + error("STATSD: ignoring line %zu ('%s') of file '%s', [app] is not defined.", line, s, filename); + + continue; + } + + if(!app) { + error("STATSD: ignoring line %zu ('%s') of file '%s', it is outside all sections.", line, s, filename); + continue; + } + + char *name = s; + char *value = strchr(s, '='); + if(!value) { + error("STATSD: ignoring line %zu ('%s') of file '%s', there is no = in it.", line, s, filename); + continue; + } + *value = '\0'; + value++; + + name = trim(name); + value = trim(value); + + if(!name || *name == '#') { + error("STATSD: ignoring line %zu of file '%s', name is empty.", line, filename); + continue; + } + if(!value) { + debug(D_CONFIG, "STATSD: ignoring line %zu of file '%s', value is empty.", line, filename); + continue; + } + + if(unlikely(dict)) { + // parse [dictionary] members + + dictionary_set(dict, name, value, strlen(value) + 1); + } + else if(!chart) { + // parse [app] members + + if(!strcmp(name, "name")) { + freez((void *)app->name); + netdata_fix_chart_name(value); + app->name = strdupz(value); + } + else if (!strcmp(name, "metrics")) { + simple_pattern_free(app->metrics); + app->metrics = simple_pattern_create(value, NULL, SIMPLE_PATTERN_EXACT); + } + else if (!strcmp(name, "private charts")) { + if (!strcmp(value, "yes") || !strcmp(value, "on")) + app->default_options |= STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED; + else + app->default_options &= ~STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED; + } + else if (!strcmp(name, "gaps when not collected")) { + if (!strcmp(value, "yes") || !strcmp(value, "on")) + app->default_options |= STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED; + } + else if (!strcmp(name, "memory mode")) { + app->rrd_memory_mode = rrd_memory_mode_id(value); + } + else if (!strcmp(name, "history")) { + app->rrd_history_entries = atol(value); + if (app->rrd_history_entries < 5) + app->rrd_history_entries = 5; + } + else { + error("STATSD: ignoring line %zu ('%s') of file '%s'. Unknown keyword for the [app] section.", line, name, filename); + continue; + } + } + else { + // parse [chart] members + + if(!strcmp(name, "name")) { + freez((void *)chart->name); + netdata_fix_chart_id(value); + chart->name = strdupz(value); + } + else if(!strcmp(name, "title")) { + freez((void *)chart->title); + chart->title = strdupz(value); + } + else if (!strcmp(name, "family")) { + freez((void *)chart->family); + chart->family = strdupz(value); + } + else if (!strcmp(name, "context")) { + freez((void *)chart->context); + netdata_fix_chart_id(value); + chart->context = strdupz(value); + } + else if (!strcmp(name, "units")) { + freez((void *)chart->units); + chart->units = strdupz(value); + } + else if (!strcmp(name, "priority")) { + chart->priority = atol(value); + } + else if (!strcmp(name, "type")) { + chart->chart_type = rrdset_type_id(value); + } + else if (!strcmp(name, "dimension")) { + // metric [name [type [multiplier [divisor]]]] + char *words[10]; + pluginsd_split_words(value, words, 10); + + int pattern = 0; + size_t i = 0; + char *metric_name = words[i++]; + + if(strcmp(metric_name, "pattern") == 0) { + metric_name = words[i++]; + pattern = 1; + } + + char *dim_name = words[i++]; + char *type = words[i++]; + char *multipler = words[i++]; + char *divisor = words[i++]; + char *options = words[i++]; + + RRDDIM_FLAGS flags = RRDDIM_FLAG_NONE; + if(options && *options) { + if(strstr(options, "hidden") != NULL) flags |= RRDDIM_FLAG_HIDDEN; + if(strstr(options, "noreset") != NULL) flags |= RRDDIM_FLAG_DONT_DETECT_RESETS_OR_OVERFLOWS; + if(strstr(options, "nooverflow") != NULL) flags |= RRDDIM_FLAG_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 + , (multipler && *multipler)?str2l(multipler):1 + , (divisor && *divisor)?str2l(divisor):1 + , flags + , string2valuetype(type, line, filename) + ); + + if(pattern) + dim->metric_pattern = simple_pattern_create(dim->metric, NULL, SIMPLE_PATTERN_EXACT); + } + else { + error("STATSD: ignoring line %zu ('%s') of file '%s'. Unknown keyword for the [%s] section.", line, name, filename, chart->id); + continue; + } + } + } + + freez(buffer); + fclose(fp); + return 0; +} + +static int statsd_file_callback(const char *filename, void *data) { + (void)data; + return statsd_readfile(filename, NULL, NULL, NULL); +} + +static inline void statsd_readdir(const char *user_path, const char *stock_path, const char *subpath) { + recursive_config_double_dir_load(user_path, stock_path, subpath, statsd_file_callback, NULL, 0); +} + +// -------------------------------------------------------------------------------------------------------------------- +// send metrics to netdata - in private charts - called from the main thread + +// extract chart type and chart id from metric name +static inline void statsd_get_metric_type_and_id(STATSD_METRIC *m, char *type, char *id, const char *defid, size_t len) { + char *s; + + snprintfz(type, len, "%s_%s_%s", STATSD_CHART_PREFIX, defid, m->name); + for(s = type; *s ;s++) + if(unlikely(*s == '.')) break; + + if(*s == '.') { + *s++ = '\0'; + strncpyz(id, s, len); + } + else { + strncpyz(id, defid, len); + } + + netdata_fix_chart_id(type); + netdata_fix_chart_id(id); +} + +static inline RRDSET *statsd_private_rrdset_create( + STATSD_METRIC *m + , 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 +) { + RRD_MEMORY_MODE memory_mode = statsd.private_charts_memory_mode; + long history = statsd.private_charts_rrd_history_entries; + + if(unlikely(statsd.private_charts >= statsd.max_private_charts)) { + debug(D_STATSD, "STATSD: metric '%s' will be charted with memory mode = none, because the maximum number of charts has been reached.", m->name); + info("STATSD: metric '%s' will be charted with memory mode = none, because the maximum number of charts (%zu) has been reached. Increase the number of charts by editing netdata.conf, [statsd] section.", m->name, statsd.max_private_charts); + memory_mode = RRD_MEMORY_MODE_NONE; + history = 5; + } + + 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 + , memory_mode // memory mode + , history // history + ); + rrdset_flag_set(st, RRDSET_FLAG_STORE_FIRST); + + if(statsd.private_charts_hidden) + rrdset_flag_set(st, RRDSET_FLAG_HIDDEN); + + // rrdset_flag_set(st, RRDSET_FLAG_DEBUG); + return st; +} + +static inline void statsd_private_chart_gauge(STATSD_METRIC *m) { + debug(D_STATSD, "updating private chart for gauge metric '%s'", m->name); + + if(unlikely(!m->st)) { + char type[RRD_ID_LENGTH_MAX + 1], id[RRD_ID_LENGTH_MAX + 1]; + statsd_get_metric_type_and_id(m, type, id, "gauge", RRD_ID_LENGTH_MAX); + + char context[RRD_ID_LENGTH_MAX + 1]; + snprintfz(context, RRD_ID_LENGTH_MAX, "statsd_gauge.%s", m->name); + + 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 + , "gauges" // family (submenu) + , context // context + , title // title + , "value" // units + , NETDATA_CHART_PRIO_STATSD_PRIVATE + , statsd.update_every + , RRDSET_TYPE_LINE + ); + + m->rd_value = rrddim_add(m->st, "gauge", NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE); + + if(m->options & STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT) + m->rd_count = rrddim_add(m->st, "events", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + } + else rrdset_next(m->st); + + rrddim_set_by_pointer(m->st, m->rd_value, m->last); + + if(m->rd_count) + rrddim_set_by_pointer(m->st, m->rd_count, m->events); + + rrdset_done(m->st); +} + +static inline void statsd_private_chart_counter_or_meter(STATSD_METRIC *m, const char *dim, const char *family) { + debug(D_STATSD, "updating private chart for %s metric '%s'", dim, m->name); + + if(unlikely(!m->st)) { + char type[RRD_ID_LENGTH_MAX + 1], id[RRD_ID_LENGTH_MAX + 1]; + statsd_get_metric_type_and_id(m, type, id, dim, RRD_ID_LENGTH_MAX); + + char context[RRD_ID_LENGTH_MAX + 1]; + snprintfz(context, RRD_ID_LENGTH_MAX, "statsd_%s.%s", dim, m->name); + + 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 + , family // family (submenu) + , context // context + , title // title + , "events/s" // units + , NETDATA_CHART_PRIO_STATSD_PRIVATE + , statsd.update_every + , RRDSET_TYPE_AREA + ); + + m->rd_value = rrddim_add(m->st, dim, NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + + if(m->options & STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT) + m->rd_count = rrddim_add(m->st, "events", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + } + else rrdset_next(m->st); + + rrddim_set_by_pointer(m->st, m->rd_value, m->last); + + if(m->rd_count) + rrddim_set_by_pointer(m->st, m->rd_count, m->events); + + rrdset_done(m->st); +} + +static inline void statsd_private_chart_set(STATSD_METRIC *m) { + debug(D_STATSD, "updating private chart for set metric '%s'", m->name); + + if(unlikely(!m->st)) { + char type[RRD_ID_LENGTH_MAX + 1], id[RRD_ID_LENGTH_MAX + 1]; + statsd_get_metric_type_and_id(m, type, id, "set", RRD_ID_LENGTH_MAX); + + char context[RRD_ID_LENGTH_MAX + 1]; + snprintfz(context, RRD_ID_LENGTH_MAX, "statsd_set.%s", m->name); + + 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 + , "sets" // family (submenu) + , context // context + , title // title + , "entries" // units + , NETDATA_CHART_PRIO_STATSD_PRIVATE + , statsd.update_every + , RRDSET_TYPE_LINE + ); + + m->rd_value = rrddim_add(m->st, "set", "set size", 1, 1, RRD_ALGORITHM_ABSOLUTE); + + if(m->options & STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT) + m->rd_count = rrddim_add(m->st, "events", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + } + else rrdset_next(m->st); + + rrddim_set_by_pointer(m->st, m->rd_value, m->last); + + if(m->rd_count) + rrddim_set_by_pointer(m->st, m->rd_count, m->events); + + rrdset_done(m->st); +} + +static inline void statsd_private_chart_timer_or_histogram(STATSD_METRIC *m, const char *dim, const char *family, const char *units) { + debug(D_STATSD, "updating private chart for %s metric '%s'", dim, m->name); + + if(unlikely(!m->st)) { + char type[RRD_ID_LENGTH_MAX + 1], id[RRD_ID_LENGTH_MAX + 1]; + statsd_get_metric_type_and_id(m, type, id, dim, RRD_ID_LENGTH_MAX); + + char context[RRD_ID_LENGTH_MAX + 1]; + snprintfz(context, RRD_ID_LENGTH_MAX, "statsd_%s.%s", dim, m->name); + + 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 + , family // family (submenu) + , context // context + , title // title + , units // units + , NETDATA_CHART_PRIO_STATSD_PRIVATE + , statsd.update_every + , RRDSET_TYPE_AREA + ); + + m->histogram.ext->rd_min = rrddim_add(m->st, "min", NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE); + m->histogram.ext->rd_max = rrddim_add(m->st, "max", NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE); + m->rd_value = rrddim_add(m->st, "average", NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE); + m->histogram.ext->rd_percentile = rrddim_add(m->st, statsd.histogram_percentile_str, NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE); + m->histogram.ext->rd_median = rrddim_add(m->st, "median", NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE); + m->histogram.ext->rd_stddev = rrddim_add(m->st, "stddev", NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE); + m->histogram.ext->rd_sum = rrddim_add(m->st, "sum", NULL, 1, statsd.decimal_detail, RRD_ALGORITHM_ABSOLUTE); + + if(m->options & STATSD_METRIC_OPTION_CHART_DIMENSION_COUNT) + m->rd_count = rrddim_add(m->st, "events", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + } + else rrdset_next(m->st); + + rrddim_set_by_pointer(m->st, m->histogram.ext->rd_min, m->histogram.ext->last_min); + rrddim_set_by_pointer(m->st, m->histogram.ext->rd_max, m->histogram.ext->last_max); + rrddim_set_by_pointer(m->st, m->histogram.ext->rd_percentile, m->histogram.ext->last_percentile); + rrddim_set_by_pointer(m->st, m->histogram.ext->rd_median, m->histogram.ext->last_median); + rrddim_set_by_pointer(m->st, m->histogram.ext->rd_stddev, m->histogram.ext->last_stddev); + rrddim_set_by_pointer(m->st, m->histogram.ext->rd_sum, m->histogram.ext->last_sum); + rrddim_set_by_pointer(m->st, m->rd_value, m->last); + + if(m->rd_count) + rrddim_set_by_pointer(m->st, m->rd_count, m->events); + + rrdset_done(m->st); +} + +// -------------------------------------------------------------------------------------------------------------------- +// statsd flush metrics + +static inline void statsd_flush_gauge(STATSD_METRIC *m) { + debug(D_STATSD, "flushing gauge metric '%s'", m->name); + + int updated = 0; + if(unlikely(!m->reset && m->count)) { + m->last = (collected_number) (m->gauge.value * statsd.decimal_detail); + + m->reset = 1; + updated = 1; + } + + if(unlikely(m->options & STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED && (updated || !(m->options & STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED)))) + statsd_private_chart_gauge(m); +} + +static inline void statsd_flush_counter_or_meter(STATSD_METRIC *m, const char *dim, const char *family) { + debug(D_STATSD, "flushing %s metric '%s'", dim, m->name); + + int updated = 0; + if(unlikely(!m->reset && m->count)) { + m->last = m->counter.value; + + m->reset = 1; + updated = 1; + } + + if(unlikely(m->options & STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED && (updated || !(m->options & STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED)))) + statsd_private_chart_counter_or_meter(m, dim, family); +} + +static inline void statsd_flush_counter(STATSD_METRIC *m) { + statsd_flush_counter_or_meter(m, "counter", "counters"); +} + +static inline void statsd_flush_meter(STATSD_METRIC *m) { + statsd_flush_counter_or_meter(m, "meter", "meters"); +} + +static inline void statsd_flush_set(STATSD_METRIC *m) { + debug(D_STATSD, "flushing set metric '%s'", m->name); + + int updated = 0; + if(unlikely(!m->reset && m->count)) { + m->last = (collected_number)m->set.unique; + + m->reset = 1; + updated = 1; + } + else { + m->last = 0; + } + + if(unlikely(m->options & STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED && (updated || !(m->options & STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED)))) + statsd_private_chart_set(m); +} + +static inline void statsd_flush_timer_or_histogram(STATSD_METRIC *m, const char *dim, const char *family, const char *units) { + debug(D_STATSD, "flushing %s metric '%s'", dim, m->name); + + int updated = 0; + if(unlikely(!m->reset && m->count && m->histogram.ext->used > 0)) { + netdata_mutex_lock(&m->histogram.ext->mutex); + + size_t len = m->histogram.ext->used; + LONG_DOUBLE *series = m->histogram.ext->values; + sort_series(series, len); + + m->histogram.ext->last_min = (collected_number)roundl(series[0] * statsd.decimal_detail); + m->histogram.ext->last_max = (collected_number)roundl(series[len - 1] * statsd.decimal_detail); + m->last = (collected_number)roundl(average(series, len) * statsd.decimal_detail); + m->histogram.ext->last_median = (collected_number)roundl(median_on_sorted_series(series, len) * statsd.decimal_detail); + m->histogram.ext->last_stddev = (collected_number)roundl(standard_deviation(series, len) * statsd.decimal_detail); + m->histogram.ext->last_sum = (collected_number)roundl(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)roundl(series[pct_len - 1] * statsd.decimal_detail); + + netdata_mutex_unlock(&m->histogram.ext->mutex); + + debug(D_STATSD, "STATSD %s metric %s: min " COLLECTED_NUMBER_FORMAT ", max " COLLECTED_NUMBER_FORMAT ", last " COLLECTED_NUMBER_FORMAT ", pcent " COLLECTED_NUMBER_FORMAT ", median " COLLECTED_NUMBER_FORMAT ", stddev " COLLECTED_NUMBER_FORMAT ", sum " COLLECTED_NUMBER_FORMAT, + dim, m->name, m->histogram.ext->last_min, m->histogram.ext->last_max, m->last, m->histogram.ext->last_percentile, m->histogram.ext->last_median, m->histogram.ext->last_stddev, m->histogram.ext->last_sum); + + m->histogram.ext->zeroed = 0; + m->reset = 1; + updated = 1; + } + else if(unlikely(!m->histogram.ext->zeroed)) { + // reset the metrics + // if we collected anything, they will be updated below + // this ensures that we report zeros if nothing is collected + + m->histogram.ext->last_min = 0; + m->histogram.ext->last_max = 0; + m->last = 0; + m->histogram.ext->last_median = 0; + m->histogram.ext->last_stddev = 0; + m->histogram.ext->last_sum = 0; + m->histogram.ext->last_percentile = 0; + + m->histogram.ext->zeroed = 1; + } + + if(unlikely(m->options & STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED && (updated || !(m->options & STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED)))) + statsd_private_chart_timer_or_histogram(m, dim, family, units); +} + +static inline void statsd_flush_timer(STATSD_METRIC *m) { + statsd_flush_timer_or_histogram(m, "timer", "timers", "milliseconds"); +} + +static inline void statsd_flush_histogram(STATSD_METRIC *m) { + statsd_flush_timer_or_histogram(m, "histogram", "histograms", "value"); +} + +static inline RRD_ALGORITHM statsd_algorithm_for_metric(STATSD_METRIC *m) { + switch(m->type) { + default: + case STATSD_METRIC_TYPE_GAUGE: + case STATSD_METRIC_TYPE_SET: + case STATSD_METRIC_TYPE_TIMER: + case STATSD_METRIC_TYPE_HISTOGRAM: + return RRD_ALGORITHM_ABSOLUTE; + + case STATSD_METRIC_TYPE_METER: + case STATSD_METRIC_TYPE_COUNTER: + return RRD_ALGORITHM_INCREMENTAL; + } +} + +static inline void link_metric_to_app_dimension(STATSD_APP *app, STATSD_METRIC *m, STATSD_APP_CHART *chart, STATSD_APP_CHART_DIM *dim) { + if(dim->value_type == STATSD_APP_CHART_DIM_VALUE_TYPE_EVENTS) { + dim->value_ptr = &m->events; + dim->algorithm = RRD_ALGORITHM_INCREMENTAL; + } + else if(m->type == STATSD_METRIC_TYPE_HISTOGRAM || m->type == STATSD_METRIC_TYPE_TIMER) { + dim->algorithm = RRD_ALGORITHM_ABSOLUTE; + dim->divisor *= statsd.decimal_detail; + + switch(dim->value_type) { + case STATSD_APP_CHART_DIM_VALUE_TYPE_EVENTS: + // will never match - added to avoid warning + break; + + case STATSD_APP_CHART_DIM_VALUE_TYPE_LAST: + case STATSD_APP_CHART_DIM_VALUE_TYPE_AVERAGE: + dim->value_ptr = &m->last; + break; + + case STATSD_APP_CHART_DIM_VALUE_TYPE_SUM: + dim->value_ptr = &m->histogram.ext->last_sum; + break; + + case STATSD_APP_CHART_DIM_VALUE_TYPE_MIN: + dim->value_ptr = &m->histogram.ext->last_min; + break; + + case STATSD_APP_CHART_DIM_VALUE_TYPE_MAX: + dim->value_ptr = &m->histogram.ext->last_max; + break; + + case STATSD_APP_CHART_DIM_VALUE_TYPE_MEDIAN: + dim->value_ptr = &m->histogram.ext->last_median; + break; + + case STATSD_APP_CHART_DIM_VALUE_TYPE_PERCENTILE: + dim->value_ptr = &m->histogram.ext->last_percentile; + break; + + case STATSD_APP_CHART_DIM_VALUE_TYPE_STDDEV: + dim->value_ptr = &m->histogram.ext->last_stddev; + break; + } + } + else { + if (dim->value_type != STATSD_APP_CHART_DIM_VALUE_TYPE_LAST) + error("STATSD: unsupported value type for dimension '%s' of chart '%s' of app '%s' on metric '%s'", dim->name, chart->id, app->name, m->name); + + dim->value_ptr = &m->last; + dim->algorithm = statsd_algorithm_for_metric(m); + + if(m->type == STATSD_METRIC_TYPE_GAUGE) + dim->divisor *= statsd.decimal_detail; + } + + if(unlikely(chart->st && dim->rd)) { + rrddim_set_algorithm(chart->st, dim->rd, dim->algorithm); + rrddim_set_multiplier(chart->st, dim->rd, dim->multiplier); + rrddim_set_divisor(chart->st, dim->rd, dim->divisor); + } + + chart->dimensions_linked_count++; + m->options |= STATSD_METRIC_OPTION_USED_IN_APPS; + debug(D_STATSD, "metric '%s' of type %u linked with app '%s', chart '%s', dimension '%s', algorithm '%s'", m->name, m->type, app->name, chart->id, dim->name, rrd_algorithm_name(dim->algorithm)); +} + +static inline void check_if_metric_is_for_app(STATSD_INDEX *index, STATSD_METRIC *m) { + (void)index; + + STATSD_APP *app; + for(app = statsd.apps; app ;app = app->next) { + if(unlikely(simple_pattern_matches(app->metrics, m->name))) { + debug(D_STATSD, "metric '%s' matches app '%s'", m->name, app->name); + + // the metric should get the options from the app + + if(app->default_options & STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED) + m->options |= STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED; + else + m->options &= ~STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED; + + if(app->default_options & STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED) + m->options |= STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED; + else + m->options &= ~STATSD_METRIC_OPTION_SHOW_GAPS_WHEN_NOT_COLLECTED; + + m->options |= STATSD_METRIC_OPTION_PRIVATE_CHART_CHECKED; + + // check if there is a chart in this app, willing to get this metric + STATSD_APP_CHART *chart; + for(chart = app->charts; chart; chart = chart->next) { + + STATSD_APP_CHART_DIM *dim; + for(dim = chart->dimensions; dim ; dim = dim->next) { + if(unlikely(dim->metric_pattern)) { + size_t dim_name_len = strlen(dim->name); + size_t wildcarded_len = dim_name_len + strlen(m->name) + 1; + char wildcarded[wildcarded_len]; + + strcpy(wildcarded, dim->name); + char *ws = &wildcarded[dim_name_len]; + + if(simple_pattern_matches_extract(dim->metric_pattern, m->name, ws, wildcarded_len - dim_name_len)) { + + char *final_name = NULL; + + if(app->dict) { + if(likely(*wildcarded)) { + // use the name of the wildcarded string + final_name = dictionary_get(app->dict, wildcarded); + } + + if(unlikely(!final_name)) { + // use the name of the metric + final_name = dictionary_get(app->dict, m->name); + } + } + + if(unlikely(!final_name)) + final_name = wildcarded; + + add_dimension_to_app_chart( + app + , chart + , m->name + , final_name + , dim->multiplier + , dim->divisor + , dim->flags + , dim->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; + 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; + return dim->rd; +} + +static inline void statsd_update_app_chart(STATSD_APP *app, STATSD_APP_CHART *chart) { + debug(D_STATSD, "updating chart '%s' for app '%s'", chart->id, app->name); + + if(!chart->st) { + chart->st = rrdset_create_custom( + localhost // host + , app->name // type + , chart->id // id + , chart->name // name + , chart->family // family + , chart->context // context + , chart->title // title + , chart->units // units + , PLUGIN_STATSD_NAME // plugin + , chart->source // module + , chart->priority // priority + , statsd.update_every // update every + , chart->chart_type // chart type + , app->rrd_memory_mode // memory mode + , app->rrd_history_entries // history + ); + + rrdset_flag_set(chart->st, RRDSET_FLAG_STORE_FIRST); + // rrdset_flag_set(chart->st, RRDSET_FLAG_DEBUG); + } + else rrdset_next(chart->st); + + STATSD_APP_CHART_DIM *dim; + for(dim = chart->dimensions; dim ;dim = dim->next) { + if(likely(!dim->metric_pattern)) { + if (unlikely(!dim->rd)) + statsd_add_dim_to_app_chart(app, chart, dim); + + if (unlikely(dim->value_ptr)) { + debug(D_STATSD, "updating dimension '%s' (%s) of chart '%s' (%s) for app '%s' with value " COLLECTED_NUMBER_FORMAT, dim->name, dim->rd->id, chart->id, chart->st->id, app->name, *dim->value_ptr); + rrddim_set_by_pointer(chart->st, dim->rd, *dim->value_ptr); + } + } + } + + rrdset_done(chart->st); + debug(D_STATSD, "completed update of chart '%s' for app '%s'", chart->id, app->name); +} + +static inline void statsd_update_all_app_charts(void) { + // debug(D_STATSD, "updating app charts"); + + STATSD_APP *app; + for(app = statsd.apps; app ;app = app->next) { + // debug(D_STATSD, "updating charts for app '%s'", app->name); + + STATSD_APP_CHART *chart; + for(chart = app->charts; chart ;chart = chart->next) { + if(unlikely(chart->dimensions_linked_count)) { + statsd_update_app_chart(app, chart); + } + } + } + + // debug(D_STATSD, "completed update of app charts"); +} + +const char *statsd_metric_type_string(STATSD_METRIC_TYPE type) { + switch(type) { + case STATSD_METRIC_TYPE_COUNTER: return "counter"; + case STATSD_METRIC_TYPE_GAUGE: return "gauge"; + case STATSD_METRIC_TYPE_HISTOGRAM: return "histogram"; + case STATSD_METRIC_TYPE_METER: return "meter"; + case STATSD_METRIC_TYPE_SET: return "set"; + case STATSD_METRIC_TYPE_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) + for(m = index->first; m ; m = m->next) { + // since we add new metrics at the beginning + // check for useful charts, until the point we last checked + if(unlikely(is_metric_checked(m))) break; + + if(unlikely(!(m->options & STATSD_METRIC_OPTION_CHECKED_IN_APPS))) { + log_access("NEW STATSD METRIC '%s': '%s'", statsd_metric_type_string(m->type), m->name); + check_if_metric_is_for_app(index, m); + m->options |= STATSD_METRIC_OPTION_CHECKED_IN_APPS; + } + + if(unlikely(!(m->options & STATSD_METRIC_OPTION_PRIVATE_CHART_CHECKED))) { + if(unlikely(statsd.private_charts >= statsd.max_private_charts_hard)) { + debug(D_STATSD, "STATSD: metric '%s' will not be charted, because the hard limit of the maximum number of charts has been reached.", m->name); + info("STATSD: metric '%s' will not be charted, because the hard limit of the maximum number of charts (%zu) has been reached. Increase the number of charts by editing netdata.conf, [statsd] section.", m->name, statsd.max_private_charts); + m->options &= ~STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED; + } + else { + if (simple_pattern_matches(statsd.charts_for, m->name)) { + debug(D_STATSD, "STATSD: metric '%s' will be charted.", m->name); + m->options |= STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED; + } else { + debug(D_STATSD, "STATSD: metric '%s' will not be charted.", m->name); + m->options &= ~STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED; + } + } + + m->options |= STATSD_METRIC_OPTION_PRIVATE_CHART_CHECKED; + } + + // mark it as checked + m->options |= STATSD_METRIC_OPTION_CHECKED; + + // check if it is used in charts + if((m->options & (STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED|STATSD_METRIC_OPTION_USED_IN_APPS)) && !(m->options & STATSD_METRIC_OPTION_USEFUL)) { + m->options |= STATSD_METRIC_OPTION_USEFUL; + index->useful++; + m->next_useful = index->first_useful; + index->first_useful = m; + } + } + + // flush all the useful metrics + for(m = index->first_useful; m ; m = m->next_useful) { + flush_metric(m); + } +} + + +// -------------------------------------------------------------------------------------- +// statsd main thread + +static int statsd_listen_sockets_setup(void) { + return listen_sockets_setup(&statsd.sockets); +} + +static void statsd_main_cleanup(void *data) { + struct netdata_static_thread *static_thread = (struct netdata_static_thread *)data; + static_thread->enabled = NETDATA_MAIN_THREAD_EXITING; + info("cleaning up..."); + + if (statsd.collection_threads_status) { + int i; + for (i = 0; i < statsd.threads; i++) { + if(statsd.collection_threads_status[i].status) { + info("STATSD: stopping data collection thread %d...", i + 1); + netdata_thread_cancel(statsd.collection_threads_status[i].thread); + } + else { + info("STATSD: data collection thread %d found stopped.", i + 1); + } + } + } + + info("STATSD: closing sockets..."); + listen_sockets_close(&statsd.sockets); + + info("STATSD: cleanup completed."); + static_thread->enabled = NETDATA_MAIN_THREAD_EXITED; +} + +void *statsd_main(void *ptr) { + netdata_thread_cleanup_push(statsd_main_cleanup, ptr); + + // ---------------------------------------------------------------------------------------------------------------- + // statsd configuration + + statsd.enabled = config_get_boolean(CONFIG_SECTION_STATSD, "enabled", statsd.enabled); + + statsd.update_every = default_rrd_update_every; + statsd.update_every = (int)config_get_number(CONFIG_SECTION_STATSD, "update every (flushInterval)", statsd.update_every); + if(statsd.update_every < default_rrd_update_every) { + error("STATSD: minimum flush interval %d given, but the minimum is the update every of netdata. Using %d", statsd.update_every, default_rrd_update_every); + statsd.update_every = default_rrd_update_every; + } + +#ifdef HAVE_RECVMMSG + statsd.recvmmsg_size = (size_t)config_get_number(CONFIG_SECTION_STATSD, "udp messages to process at once", (long long)statsd.recvmmsg_size); +#endif + + statsd.charts_for = simple_pattern_create(config_get(CONFIG_SECTION_STATSD, "create private charts for metrics matching", "*"), NULL, SIMPLE_PATTERN_EXACT); + statsd.max_private_charts = (size_t)config_get_number(CONFIG_SECTION_STATSD, "max private charts allowed", (long long)statsd.max_private_charts); + statsd.max_private_charts_hard = (size_t)config_get_number(CONFIG_SECTION_STATSD, "max private charts hard limit", (long long)statsd.max_private_charts * 5); + statsd.private_charts_memory_mode = rrd_memory_mode_id(config_get(CONFIG_SECTION_STATSD, "private charts memory mode", rrd_memory_mode_name(default_rrd_memory_mode))); + statsd.private_charts_rrd_history_entries = (int)config_get_number(CONFIG_SECTION_STATSD, "private charts history", default_rrd_history_entries); + statsd.decimal_detail = (collected_number)config_get_number(CONFIG_SECTION_STATSD, "decimal detail", (long long int)statsd.decimal_detail); + statsd.tcp_idle_timeout = (size_t) config_get_number(CONFIG_SECTION_STATSD, "disconnect idle tcp clients after seconds", (long long int)statsd.tcp_idle_timeout); + statsd.private_charts_hidden = (unsigned int)config_get_boolean(CONFIG_SECTION_STATSD, "private charts hidden", statsd.private_charts_hidden); + + statsd.histogram_percentile = (double)config_get_float(CONFIG_SECTION_STATSD, "histograms and timers percentile (percentThreshold)", statsd.histogram_percentile); + if(isless(statsd.histogram_percentile, 0) || isgreater(statsd.histogram_percentile, 100)) { + error("STATSD: invalid histograms and timers percentile %0.5f given", statsd.histogram_percentile); + statsd.histogram_percentile = 95.0; + } + { + char buffer[100 + 1]; + snprintf(buffer, 100, "%0.1f%%", statsd.histogram_percentile); + statsd.histogram_percentile_str = strdupz(buffer); + } + + if(config_get_boolean(CONFIG_SECTION_STATSD, "add dimension for number of events received", 1)) { + 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; + } + + 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; + + size_t max_sockets = (size_t)config_get_number(CONFIG_SECTION_STATSD, "statsd server max TCP sockets", (long long int)(rlimit_nofile.rlim_cur / 4)); + +#ifdef STATSD_MULTITHREADED + statsd.threads = (int)config_get_number(CONFIG_SECTION_STATSD, "threads", processors); + if(statsd.threads < 1) { + error("STATSD: Invalid number of threads %d, using %d", statsd.threads, processors); + statsd.threads = processors; + config_set_number(CONFIG_SECTION_STATSD, "collector threads", statsd.threads); + } +#else + statsd.threads = 1; +#endif + + // read custom application definitions + statsd_readdir(netdata_configured_user_config_dir, netdata_configured_stock_config_dir, "statsd.d"); + + // ---------------------------------------------------------------------------------------------------------------- + // statsd setup + + if(!statsd.enabled) return NULL; + + statsd_listen_sockets_setup(); + if(!statsd.sockets.opened) { + error("STATSD: No statsd sockets to listen to. statsd will be disabled."); + goto cleanup; + } + + statsd.collection_threads_status = callocz((size_t)statsd.threads, sizeof(struct collection_thread_status)); + + int i; + for(i = 0; i < statsd.threads ;i++) { + statsd.collection_threads_status[i].max_sockets = max_sockets / statsd.threads; + char tag[NETDATA_THREAD_TAG_MAX + 1]; + snprintfz(tag, NETDATA_THREAD_TAG_MAX, "STATSD_COLLECTOR[%d]", i + 1); + netdata_thread_create(&statsd.collection_threads_status[i].thread, tag, NETDATA_THREAD_OPTION_DEFAULT, statsd_collector_thread, &statsd.collection_threads_status[i]); + } + + // ---------------------------------------------------------------------------------------------------------------- + // statsd monitoring charts + + RRDSET *st_metrics = rrdset_create_localhost( + "netdata" + , "statsd_metrics" + , NULL + , "statsd" + , NULL + , "Metrics in the netdata statsd database" + , "metrics" + , PLUGIN_STATSD_NAME + , "stats" + , 132010 + , statsd.update_every + , RRDSET_TYPE_STACKED + ); + RRDDIM *rd_metrics_gauge = rrddim_add(st_metrics, "gauges", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + RRDDIM *rd_metrics_counter = rrddim_add(st_metrics, "counters", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + RRDDIM *rd_metrics_timer = rrddim_add(st_metrics, "timers", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + RRDDIM *rd_metrics_meter = rrddim_add(st_metrics, "meters", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + RRDDIM *rd_metrics_histogram = rrddim_add(st_metrics, "histograms", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + RRDDIM *rd_metrics_set = rrddim_add(st_metrics, "sets", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + + RRDSET *st_useful_metrics = rrdset_create_localhost( + "netdata" + , "statsd_useful_metrics" + , NULL + , "statsd" + , NULL + , "Useful metrics in the netdata statsd database" + , "metrics" + , PLUGIN_STATSD_NAME + , "stats" + , 132010 + , statsd.update_every + , RRDSET_TYPE_STACKED + ); + RRDDIM *rd_useful_metrics_gauge = rrddim_add(st_useful_metrics, "gauges", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + RRDDIM *rd_useful_metrics_counter = rrddim_add(st_useful_metrics, "counters", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + RRDDIM *rd_useful_metrics_timer = rrddim_add(st_useful_metrics, "timers", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + RRDDIM *rd_useful_metrics_meter = rrddim_add(st_useful_metrics, "meters", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + RRDDIM *rd_useful_metrics_histogram = rrddim_add(st_useful_metrics, "histograms", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + RRDDIM *rd_useful_metrics_set = rrddim_add(st_useful_metrics, "sets", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + + RRDSET *st_events = rrdset_create_localhost( + "netdata" + , "statsd_events" + , NULL + , "statsd" + , NULL + , "Events processed by the netdata statsd server" + , "events/s" + , PLUGIN_STATSD_NAME + , "stats" + , 132011 + , statsd.update_every + , RRDSET_TYPE_STACKED + ); + RRDDIM *rd_events_gauge = rrddim_add(st_events, "gauges", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + RRDDIM *rd_events_counter = rrddim_add(st_events, "counters", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + RRDDIM *rd_events_timer = rrddim_add(st_events, "timers", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + RRDDIM *rd_events_meter = rrddim_add(st_events, "meters", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + RRDDIM *rd_events_histogram = rrddim_add(st_events, "histograms", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + RRDDIM *rd_events_set = rrddim_add(st_events, "sets", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + RRDDIM *rd_events_unknown = rrddim_add(st_events, "unknown", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + RRDDIM *rd_events_errors = rrddim_add(st_events, "errors", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + + RRDSET *st_reads = rrdset_create_localhost( + "netdata" + , "statsd_reads" + , NULL + , "statsd" + , NULL + , "Read operations made by the netdata statsd server" + , "reads/s" + , PLUGIN_STATSD_NAME + , "stats" + , 132012 + , statsd.update_every + , RRDSET_TYPE_STACKED + ); + RRDDIM *rd_reads_tcp = rrddim_add(st_reads, "tcp", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + RRDDIM *rd_reads_udp = rrddim_add(st_reads, "udp", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + + RRDSET *st_bytes = rrdset_create_localhost( + "netdata" + , "statsd_bytes" + , NULL + , "statsd" + , NULL + , "Bytes read by the netdata statsd server" + , "kilobits/s" + , PLUGIN_STATSD_NAME + , "stats" + , 132013 + , statsd.update_every + , RRDSET_TYPE_STACKED + ); + RRDDIM *rd_bytes_tcp = rrddim_add(st_bytes, "tcp", NULL, 8, BITS_IN_A_KILOBIT, RRD_ALGORITHM_INCREMENTAL); + RRDDIM *rd_bytes_udp = rrddim_add(st_bytes, "udp", NULL, 8, BITS_IN_A_KILOBIT, RRD_ALGORITHM_INCREMENTAL); + + RRDSET *st_packets = rrdset_create_localhost( + "netdata" + , "statsd_packets" + , NULL + , "statsd" + , NULL + , "Network packets processed by the netdata statsd server" + , "packets/s" + , PLUGIN_STATSD_NAME + , "stats" + , 132014 + , statsd.update_every + , RRDSET_TYPE_STACKED + ); + RRDDIM *rd_packets_tcp = rrddim_add(st_packets, "tcp", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + RRDDIM *rd_packets_udp = rrddim_add(st_packets, "udp", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + + RRDSET *st_tcp_connects = rrdset_create_localhost( + "netdata" + , "tcp_connects" + , NULL + , "statsd" + , NULL + , "statsd server TCP connects and disconnects" + , "events" + , PLUGIN_STATSD_NAME + , "stats" + , 132015 + , statsd.update_every + , RRDSET_TYPE_LINE + ); + RRDDIM *rd_tcp_connects = rrddim_add(st_tcp_connects, "connects", NULL, 1, 1, RRD_ALGORITHM_INCREMENTAL); + RRDDIM *rd_tcp_disconnects = rrddim_add(st_tcp_connects, "disconnects", NULL, -1, 1, RRD_ALGORITHM_INCREMENTAL); + + RRDSET *st_tcp_connected = rrdset_create_localhost( + "netdata" + , "tcp_connected" + , NULL + , "statsd" + , NULL + , "statsd server TCP connected sockets" + , "connected" + , PLUGIN_STATSD_NAME + , "stats" + , 132016 + , statsd.update_every + , RRDSET_TYPE_LINE + ); + RRDDIM *rd_tcp_connected = rrddim_add(st_tcp_connected, "connected", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + + RRDSET *st_pcharts = rrdset_create_localhost( + "netdata" + , "private_charts" + , NULL + , "statsd" + , NULL + , "Private metric charts created by the netdata statsd server" + , "charts" + , PLUGIN_STATSD_NAME + , "stats" + , 132020 + , statsd.update_every + , RRDSET_TYPE_AREA + ); + RRDDIM *rd_pcharts = rrddim_add(st_pcharts, "charts", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE); + + RRDSET *stcpu_thread = rrdset_create_localhost( + "netdata" + , "plugin_statsd_charting_cpu" + , NULL + , "statsd" + , "netdata.statsd_cpu" + , "NetData statsd charting thread CPU usage" + , "milliseconds/s" + , PLUGIN_STATSD_NAME + , "stats" + , 132001 + , statsd.update_every + , RRDSET_TYPE_STACKED + ); + + RRDDIM *rd_user = rrddim_add(stcpu_thread, "user", NULL, 1, 1000, RRD_ALGORITHM_INCREMENTAL); + RRDDIM *rd_system = rrddim_add(stcpu_thread, "system", NULL, 1, 1000, RRD_ALGORITHM_INCREMENTAL); + struct rusage thread; + + for(i = 0; i < statsd.threads ;i++) { + char id[100 + 1]; + char title[100 + 1]; + + snprintfz(id, 100, "plugin_statsd_collector%d_cpu", i + 1); + snprintfz(title, 100, "NetData statsd collector thread No %d CPU usage", i + 1); + + statsd.collection_threads_status[i].st_cpu = rrdset_create_localhost( + "netdata" + , id + , NULL + , "statsd" + , "netdata.statsd_cpu" + , title + , "milliseconds/s" + , PLUGIN_STATSD_NAME + , "stats" + , 132002 + i + , statsd.update_every + , RRDSET_TYPE_STACKED + ); + + statsd.collection_threads_status[i].rd_user = rrddim_add(statsd.collection_threads_status[i].st_cpu, "user", NULL, 1, 1000, RRD_ALGORITHM_INCREMENTAL); + statsd.collection_threads_status[i].rd_system = rrddim_add(statsd.collection_threads_status[i].st_cpu, "system", NULL, 1, 1000, RRD_ALGORITHM_INCREMENTAL); + } + + // ---------------------------------------------------------------------------------------------------------------- + // statsd thread to turn metrics into charts + + usec_t step = statsd.update_every * USEC_PER_SEC; + heartbeat_t hb; + heartbeat_init(&hb); + while(!netdata_exit) { + usec_t hb_dt = heartbeat_next(&hb, step); + + statsd_flush_index_metrics(&statsd.gauges, statsd_flush_gauge); + statsd_flush_index_metrics(&statsd.counters, statsd_flush_counter); + statsd_flush_index_metrics(&statsd.meters, statsd_flush_meter); + statsd_flush_index_metrics(&statsd.timers, statsd_flush_timer); + statsd_flush_index_metrics(&statsd.histograms, statsd_flush_histogram); + statsd_flush_index_metrics(&statsd.sets, statsd_flush_set); + + statsd_update_all_app_charts(); + + getrusage(RUSAGE_THREAD, &thread); + + if(unlikely(netdata_exit)) + break; + + if(likely(hb_dt)) { + rrdset_next(st_metrics); + rrdset_next(st_useful_metrics); + rrdset_next(st_events); + rrdset_next(st_reads); + rrdset_next(st_bytes); + rrdset_next(st_packets); + rrdset_next(st_tcp_connects); + rrdset_next(st_tcp_connected); + rrdset_next(st_pcharts); + rrdset_next(stcpu_thread); + for(i = 0; i < statsd.threads ;i++) + rrdset_next(statsd.collection_threads_status[i].st_cpu); + } + + 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); + 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); + 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_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); + + rrddim_set_by_pointer(stcpu_thread, rd_user, thread.ru_utime.tv_sec * 1000000ULL + thread.ru_utime.tv_usec); + rrddim_set_by_pointer(stcpu_thread, rd_system, thread.ru_stime.tv_sec * 1000000ULL + thread.ru_stime.tv_usec); + rrdset_done(stcpu_thread); + + for(i = 0; i < statsd.threads ;i++) { + rrddim_set_by_pointer(statsd.collection_threads_status[i].st_cpu, statsd.collection_threads_status[i].rd_user, statsd.collection_threads_status[i].rusage.ru_utime.tv_sec * 1000000ULL + statsd.collection_threads_status[i].rusage.ru_utime.tv_usec); + rrddim_set_by_pointer(statsd.collection_threads_status[i].st_cpu, statsd.collection_threads_status[i].rd_system, statsd.collection_threads_status[i].rusage.ru_stime.tv_sec * 1000000ULL + statsd.collection_threads_status[i].rusage.ru_stime.tv_usec); + rrdset_done(statsd.collection_threads_status[i].st_cpu); + } + } + +cleanup: ; // added semi-colon to prevent older gcc error: label at end of compound statement + netdata_thread_cleanup_pop(1); + return NULL; +} |