Adding upstream version 1.12.0.upstream/1.12.0upstream

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

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 0000000..534466a
--- /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"
+            , "sockets"
+            , PLUGIN_STATSD_NAME
+            , "stats"
+            , 132016
+            , statsd.update_every
+            , RRDSET_TYPE_LINE
+    );
+    RRDDIM *rd_tcp_connected = rrddim_add(st_tcp_connected, "connected", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
+
+    RRDSET *st_pcharts = rrdset_create_localhost(
+            "netdata"
+            , "private_charts"
+            , NULL
+            , "statsd"
+            , NULL
+            , "Private metric charts created by the netdata statsd server"
+            , "charts"
+            , PLUGIN_STATSD_NAME
+            , "stats"
+            , 132020
+            , statsd.update_every
+            , RRDSET_TYPE_AREA
+    );
+    RRDDIM *rd_pcharts = rrddim_add(st_pcharts, "charts", NULL, 1, 1, RRD_ALGORITHM_ABSOLUTE);
+
+    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;
+}