diff options
Diffstat (limited to 'collectors/statsd.plugin')
| -rw-r--r-- | collectors/statsd.plugin/README.md | 20 | ||||
| -rw-r--r-- | collectors/statsd.plugin/asterisk.md | 6 | ||||
| -rw-r--r-- | collectors/statsd.plugin/k6.md | 6 | ||||
| -rw-r--r-- | collectors/statsd.plugin/statsd.c | 93 |
4 files changed, 72 insertions, 53 deletions
diff --git a/collectors/statsd.plugin/README.md b/collectors/statsd.plugin/README.md index b46ca28d9..d65476ff4 100644 --- a/collectors/statsd.plugin/README.md +++ b/collectors/statsd.plugin/README.md @@ -1,7 +1,11 @@ <!-- title: "statsd.plugin" description: "The Netdata Agent is a fully-featured StatsD server that collects metrics from any custom application and visualizes them in real-time." -custom_edit_url: https://github.com/netdata/netdata/edit/master/collectors/statsd.plugin/README.md +custom_edit_url: "https://github.com/netdata/netdata/edit/master/collectors/statsd.plugin/README.md" +sidebar_label: "statsd.plugin" +learn_status: "Published" +learn_topic_type: "References" +learn_rel_path: "References/Collectors references/Apm" --> StatsD is a system to collect data from any application. Applications send metrics to it, usually via non-blocking UDP communication, and StatsD servers collect these metrics, perform a few simple calculations on them and push them to backend time-series databases. @@ -25,11 +29,11 @@ On synthetic charts, we can have alarms as with any metric and chart. - [K6 load testing tool](https://k6.io) - **Description:** k6 is a developer-centric, free and open-source load testing tool built for making performance testing a productive and enjoyable experience. - - [Documentation](/collectors/statsd.plugin/k6.md) + - [Documentation](https://github.com/netdata/netdata/blob/master/collectors/statsd.plugin/k6.md) - [Configuration](https://github.com/netdata/netdata/blob/master/collectors/statsd.plugin/k6.conf) - [Asterisk](https://www.asterisk.org/) - **Description:** Asterisk is an Open Source PBX and telephony toolkit. - - [Documentation](/collectors/statsd.plugin/asterisk.md) + - [Documentation](https://github.com/netdata/netdata/blob/master/collectors/statsd.plugin/asterisk.md) - [Configuration](https://github.com/netdata/netdata/blob/master/collectors/statsd.plugin/asterisk.conf) ## Metrics supported by Netdata @@ -202,7 +206,7 @@ Netdata can visualize StatsD collected metrics in 2 ways: ### Private metric charts -Private charts are controlled with `create private charts for metrics matching = *`. This setting accepts a space-separated list of [simple patterns](/libnetdata/simple_pattern/README.md). Netdata will create private charts for all metrics **by default**. +Private charts are controlled with `create private charts for metrics matching = *`. This setting accepts a space-separated list of [simple patterns](https://github.com/netdata/netdata/blob/master/libnetdata/simple_pattern/README.md). Netdata will create private charts for all metrics **by default**. For example, to render charts for all `myapp.*` metrics, except `myapp.*.badmetric`, use: @@ -210,7 +214,7 @@ For example, to render charts for all `myapp.*` metrics, except `myapp.*.badmetr create private charts for metrics matching = !myapp.*.badmetric myapp.* ``` -You can specify Netdata StatsD to have a different `memory mode` than the rest of the Netdata Agent. You can read more about `memory mode` in the [documentation](/database/README.md). +You can specify Netdata StatsD to have a different `memory mode` than the rest of the Netdata Agent. You can read more about `memory mode` in the [documentation](https://github.com/netdata/netdata/blob/master/database/README.md). The default behavior is to use the same settings as the rest of the Netdata Agent. If you wish to change them, edit the following settings: - `private charts memory mode` @@ -289,7 +293,7 @@ Synthetic charts are organized in - **charts for each application** aka family in Netdata Dashboard. - **StatsD metrics for each chart** /aka charts and context Netdata Dashboard. -> You can read more about how the Netdata Agent organizes information in the relevant [documentation](/web/README.md) +> You can read more about how the Netdata Agent organizes information in the relevant [documentation](https://github.com/netdata/netdata/blob/master/web/README.md) For each application you need to create a `.conf` file in `/etc/netdata/statsd.d`. @@ -326,7 +330,7 @@ Using the above configuration `myapp` should get its own section on the dashboar `[app]` starts a new application definition. The supported settings in this section are: - `name` defines the name of the app. -- `metrics` is a Netdata [simple pattern](/libnetdata/simple_pattern/README.md). This pattern should match all the possible StatsD metrics that will be participating in the application `myapp`. +- `metrics` is a Netdata [simple pattern](https://github.com/netdata/netdata/blob/master/libnetdata/simple_pattern/README.md). This pattern should match all the possible StatsD metrics that will be participating in the application `myapp`. - `private charts = yes|no`, enables or disables private charts for the metrics matched. - `gaps when not collected = yes|no`, enables or disables gaps on the charts of the application in case that no metrics are collected. - `memory mode` sets the memory mode for all charts of the application. The default is the global default for Netdata (not the global default for StatsD private charts). We suggest not to use this (we have commented it out in the example) and let your app use the global default for Netdata, which is our dbengine. @@ -352,7 +356,7 @@ So, the format is this: dimension = [pattern] METRIC NAME TYPE MULTIPLIER DIVIDER OPTIONS ``` -`pattern` is a keyword. When set, `METRIC` is expected to be a Netdata [simple pattern](/libnetdata/simple_pattern/README.md) that will be used to match all the StatsD metrics to be added to the chart. So, `pattern` automatically matches any number of StatsD metrics, all of which will be added as separate chart dimensions. +`pattern` is a keyword. When set, `METRIC` is expected to be a Netdata [simple pattern](https://github.com/netdata/netdata/blob/master/libnetdata/simple_pattern/README.md) that will be used to match all the StatsD metrics to be added to the chart. So, `pattern` automatically matches any number of StatsD metrics, all of which will be added as separate chart dimensions. `TYPE`, `MULTIPLIER`, `DIVIDER` and `OPTIONS` are optional. diff --git a/collectors/statsd.plugin/asterisk.md b/collectors/statsd.plugin/asterisk.md index 94da94ee2..9d7948111 100644 --- a/collectors/statsd.plugin/asterisk.md +++ b/collectors/statsd.plugin/asterisk.md @@ -1,8 +1,10 @@ <!-- title: "Asterisk monitoring with Netdata" -custom_edit_url: https://github.com/netdata/netdata/edit/master/collectors/statsd.plugin/asterisk.md - +custom_edit_url: "https://github.com/netdata/netdata/edit/master/collectors/statsd.plugin/asterisk.md" sidebar_label: "Asterisk" +learn_status: "Published" +learn_topic_type: "References" +learn_rel_path: "References/Collectors references/Apm/Statsd" --> # Asterisk monitoring with Netdata diff --git a/collectors/statsd.plugin/k6.md b/collectors/statsd.plugin/k6.md index 4f8c70133..7a1e36773 100644 --- a/collectors/statsd.plugin/k6.md +++ b/collectors/statsd.plugin/k6.md @@ -1,8 +1,10 @@ <!-- title: "K6 load test monitoring with Netdata" -custom_edit_url: https://github.com/netdata/netdata/edit/master/collectors/statsd.plugin/k6.md - +custom_edit_url: "https://github.com/netdata/netdata/edit/master/collectors/statsd.plugin/k6.md" sidebar_label: "K6 Load Testing" +learn_status: "Published" +learn_topic_type: "References" +learn_rel_path: "References/Collectors references/Apm/Statsd" --> # K6 Load Testing monitoring with Netdata diff --git a/collectors/statsd.plugin/statsd.c b/collectors/statsd.plugin/statsd.c index 67d7ed2e2..d15129b9c 100644 --- a/collectors/statsd.plugin/statsd.c +++ b/collectors/statsd.plugin/statsd.c @@ -234,7 +234,8 @@ typedef struct statsd_app { // global statsd data struct collection_thread_status { - int status; + SPINLOCK spinlock; + bool running; size_t max_sockets; netdata_thread_t thread; @@ -433,7 +434,7 @@ static inline NETDATA_DOUBLE statsd_parse_float(const char *v, NETDATA_DOUBLE de char *e = NULL; value = str2ndd(v, &e); if(unlikely(e && *e)) - error("STATSD: excess data '%s' after value '%s'", e, v); + collector_error("STATSD: excess data '%s' after value '%s'", e, v); } else value = def; @@ -455,7 +456,7 @@ static inline long long statsd_parse_int(const char *v, long long def) { char *e = NULL; value = str2ll(v, &e); if(unlikely(e && *e)) - error("STATSD: excess data '%s' after value '%s'", e, v); + collector_error("STATSD: excess data '%s' after value '%s'", e, v); } else value = def; @@ -483,7 +484,7 @@ static inline void statsd_process_gauge(STATSD_METRIC *m, const char *value, con 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); + collector_error("STATSD: metric '%s' of type gauge, with empty value is ignored.", m->name); return; } @@ -531,7 +532,7 @@ static inline void statsd_process_histogram_or_timer(STATSD_METRIC *m, const cha if(!is_metric_useful_for_collection(m)) return; if(unlikely(!value || !*value)) { - error("STATSD: metric of type %s, with empty value is ignored.", type); + collector_error("STATSD: metric of type %s, with empty value is ignored.", type); return; } @@ -594,7 +595,7 @@ static inline void statsd_process_set(STATSD_METRIC *m, const char *value) { } if (unlikely(!m->set.dict)) { - m->set.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS); + m->set.dict = dictionary_create_advanced(STATSD_DICTIONARY_OPTIONS, &dictionary_stats_category_collectors, 0); dictionary_register_insert_callback(m->set.dict, dictionary_metric_set_value_insert_callback, m); m->set.unique = 0; } @@ -634,7 +635,7 @@ static inline void statsd_process_dictionary(STATSD_METRIC *m, const char *value statsd_reset_metric(m); if (unlikely(!m->dictionary.dict)) { - m->dictionary.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS); + m->dictionary.dict = dictionary_create_advanced(STATSD_DICTIONARY_OPTIONS, &dictionary_stats_category_collectors, 0); dictionary_register_insert_callback(m->dictionary.dict, dictionary_metric_dict_value_insert_callback, m); m->dictionary.unique = 0; } @@ -873,21 +874,19 @@ struct statsd_tcp { char buffer[]; }; -#ifdef HAVE_RECVMMSG struct statsd_udp { - int *running; + struct collection_thread_status *status; STATSD_SOCKET_DATA_TYPE type; + +#ifdef HAVE_RECVMMSG 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) { @@ -1097,9 +1096,11 @@ static int statsd_snd_callback(POLLINFO *pi, short int *events) { void statsd_collector_thread_cleanup(void *data) { struct statsd_udp *d = data; - *d->running = 0; + netdata_spinlock_lock(&d->status->spinlock); + d->status->running = false; + netdata_spinlock_unlock(&d->status->spinlock); - info("cleaning up..."); + collector_info("cleaning up..."); #ifdef HAVE_RECVMMSG size_t i; @@ -1114,9 +1115,15 @@ void statsd_collector_thread_cleanup(void *data) { 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; - status->status = 1; + netdata_spinlock_lock(&status->spinlock); + status->running = true; + netdata_spinlock_unlock(&status->spinlock); worker_register("STATSD"); worker_register_job_name(WORKER_JOB_TYPE_TCP_CONNECTED, "tcp connect"); @@ -1124,10 +1131,10 @@ void *statsd_collector_thread(void *ptr) { worker_register_job_name(WORKER_JOB_TYPE_RCV_DATA, "receive"); worker_register_job_name(WORKER_JOB_TYPE_SND_DATA, "send"); - info("STATSD collector thread started with taskid %d", gettid()); + collector_info("STATSD collector thread started with taskid %d", gettid()); struct statsd_udp *d = callocz(sizeof(struct statsd_udp), 1); - d->running = &status->status; + d->status = status; netdata_thread_cleanup_push(statsd_collector_thread_cleanup, d); @@ -1152,6 +1159,7 @@ void *statsd_collector_thread(void *ptr) { , 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 @@ -1329,7 +1337,7 @@ static int statsd_readfile(const char *filename, STATSD_APP *app, STATSD_APP_CHA else if(app) { if(!strcmp(s, "dictionary")) { if(!app->dict) - app->dict = dictionary_create(DICT_OPTION_SINGLE_THREADED); + app->dict = dictionary_create_advanced(DICT_OPTION_SINGLE_THREADED, &dictionary_stats_category_collectors, 0); dict = app->dict; } @@ -1934,7 +1942,7 @@ static inline void statsd_flush_dictionary(STATSD_METRIC *m) { if(m->dictionary.unique >= statsd.dictionary_max_unique) { if(!(m->options & STATSD_METRIC_OPTION_COLLECTION_FULL_LOGGED)) { m->options |= STATSD_METRIC_OPTION_COLLECTION_FULL_LOGGED; - info( + collector_info( "STATSD dictionary '%s' reach max of %zu items - try increasing 'dictionaries max unique dimensions' in netdata.conf", m->name, m->dictionary.unique); @@ -2307,7 +2315,7 @@ static inline void statsd_flush_index_metrics(STATSD_INDEX *index, void (*flush_ if(unlikely(!(m->options & STATSD_METRIC_OPTION_PRIVATE_CHART_CHECKED))) { if(unlikely(statsd.private_charts >= statsd.max_private_charts_hard)) { debug(D_STATSD, "STATSD: metric '%s' will not be charted, because the hard limit of the maximum number of charts has been reached.", m->name); - info("STATSD: metric '%s' will not be charted, because the hard limit of the maximum number of charts (%zu) has been reached. Increase the number of charts by editing netdata.conf, [statsd] section.", m->name, statsd.max_private_charts_hard); + collector_info("STATSD: metric '%s' will not be charted, because the hard limit of the maximum number of charts (%zu) has been reached. Increase the number of charts by editing netdata.conf, [statsd] section.", m->name, statsd.max_private_charts_hard); m->options &= ~STATSD_METRIC_OPTION_PRIVATE_CHART_ENABLED; } else { @@ -2353,22 +2361,24 @@ static int statsd_listen_sockets_setup(void) { 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..."); + collector_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_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 { - info("STATSD: data collection thread %d found stopped.", i + 1); + collector_info("STATSD: data collection thread %d found stopped.", i + 1); } + netdata_spinlock_unlock(&statsd.collection_threads_status[i].spinlock); } } - info("STATSD: closing sockets..."); + collector_info("STATSD: closing sockets..."); listen_sockets_close(&statsd.sockets); // destroy the dictionaries @@ -2380,7 +2390,7 @@ static void statsd_main_cleanup(void *data) { dictionary_destroy(statsd.sets.dict); dictionary_destroy(statsd.timers.dict); - info("STATSD: cleanup completed."); + collector_info("STATSD: cleanup completed."); static_thread->enabled = NETDATA_MAIN_THREAD_EXITED; worker_unregister(); @@ -2412,13 +2422,13 @@ void *statsd_main(void *ptr) { netdata_thread_cleanup_push(statsd_main_cleanup, ptr); - statsd.gauges.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS); - statsd.meters.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS); - statsd.counters.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS); - statsd.histograms.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS); - statsd.dictionaries.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS); - statsd.sets.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS); - statsd.timers.dict = dictionary_create(STATSD_DICTIONARY_OPTIONS); + 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); @@ -2444,7 +2454,7 @@ void *statsd_main(void *ptr) { 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); + 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; } @@ -2461,7 +2471,7 @@ void *statsd_main(void *ptr) { 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); + collector_error("STATSD: invalid histograms and timers percentile %0.5f given", statsd.histogram_percentile); statsd.histogram_percentile = 95.0; } { @@ -2508,7 +2518,7 @@ void *statsd_main(void *ptr) { #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); + 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); } @@ -2526,7 +2536,7 @@ void *statsd_main(void *ptr) { statsd_listen_sockets_setup(); if(!statsd.sockets.opened) { - error("STATSD: No statsd sockets to listen to. statsd will be disabled."); + collector_error("STATSD: No statsd sockets to listen to. statsd will be disabled."); goto cleanup; } @@ -2536,7 +2546,8 @@ void *statsd_main(void *ptr) { 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); + snprintfz(tag, NETDATA_THREAD_TAG_MAX, "STATSD_IN[%d]", i + 1); + netdata_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]); } @@ -2753,7 +2764,7 @@ void *statsd_main(void *ptr) { usec_t step = statsd.update_every * USEC_PER_SEC; heartbeat_t hb; heartbeat_init(&hb); - while(!netdata_exit) { + while(service_running(SERVICE_COLLECTORS)) { worker_is_idle(); heartbeat_next(&hb, step); @@ -2781,7 +2792,7 @@ void *statsd_main(void *ptr) { worker_is_busy(WORKER_STATSD_FLUSH_STATS); statsd_update_all_app_charts(); - if(unlikely(netdata_exit)) + if(unlikely(!service_running(SERVICE_COLLECTORS))) break; if(global_statistics_enabled) { |