mirror of
https://github.com/netdata/netdata.git
synced 2025-05-15 05:50:42 +00:00

* preparation for /api/v2/contexts * working /api/v2/contexts * add anomaly rate information in all statistics; when sum-count is requested, return sums and counts instead of averages * minor fix * query targegt now accurately counts hosts, contexts, instances, dimensions, metrics * cleanup /api/v2/contexts * full text search with /api/v2/contexts * simple patterns now support the option to search ignoring case * full text search API with /api/v2/q * simple pattern execution optimization * do not show q when not given * full text search accounting * separated /api/v2/nodes from /api/v2/contexts * fix ssv queries for group_by * count query instances queried and failed per context and host * split rrdcontext.c to multiple files * add query totals * fix anomaly rate calculation; provide "ni" for indexing hosts * do not generate zero valued members * faster calculation of anomaly rate; by just summing integers for each db points and doing math once for every generated point * fix typo when printing dimensions totals * added option minify to remove spaces and newlines fron JSON output * send instance ids and names when they differ * do not add in query target dimensions, instances, contexts and hosts for which there is no retention in the current timeframe * fix for the previous + renames and code cleanup * when a dimension is filtered, include in the response all the other dimensions that are selectable * do not add nodes that do not have retention in the current window * move selection of dimensions to query_dimension_add(), instead of query_metric_add() * increase the pre-processing capacity of queries * generate instance fqdn ids and names only when they are needed * provide detailed statistics about tiers retention, queries, points, update_every * late allocation of query dimensions * cleanup * more cleanup * support for annotations per displayed point, RESET and PARTIAL * new type annotations * if a chart is not linked to contexts and it is collected, link it when it is collected * make ML run reentrant * make ML rrdr query synchronous * optimize replication memory allocation of replication_sort_entry * change units to percentage, when requesting a coefficinet of variation, or a percentage query * initialize replication before starting main threads * properly decrement no room requests counter * propagate the non-zero flag to group-by * the same by avoiding the extra loop * respect non-zero in all dimension arrays * remove dictionary garbage collection from dictionary_entries() and dictionary_version() * be more verbose when jv2 indexing is postponed * prevent infinite loop * use hidden dimensions even when dimensions pattern is unset * traverse hosts using dictionaries * fix dictionary unittests
1026 lines
37 KiB
C
1026 lines
37 KiB
C
// SPDX-License-Identifier: GPL-3.0-or-later
|
|
|
|
#include "internal.h"
|
|
|
|
static void query_metric_release(QUERY_METRIC *qm);
|
|
static void query_dimension_release(QUERY_DIMENSION *qd);
|
|
static void query_instance_release(QUERY_INSTANCE *qi);
|
|
static void query_context_release(QUERY_CONTEXT *qc);
|
|
static void query_node_release(QUERY_NODE *qn);
|
|
|
|
static __thread QUERY_TARGET thread_query_target = {};
|
|
|
|
// ----------------------------------------------------------------------------
|
|
// query API
|
|
|
|
typedef struct query_target_locals {
|
|
time_t start_s;
|
|
|
|
QUERY_TARGET *qt;
|
|
|
|
RRDSET *st;
|
|
|
|
const char *scope_nodes;
|
|
const char *scope_contexts;
|
|
|
|
const char *nodes;
|
|
const char *contexts;
|
|
const char *charts;
|
|
const char *dimensions;
|
|
const char *chart_label_key;
|
|
const char *labels;
|
|
const char *alerts;
|
|
|
|
long long after;
|
|
long long before;
|
|
bool match_ids;
|
|
bool match_names;
|
|
|
|
size_t metrics_skipped_due_to_not_matching_timeframe;
|
|
|
|
char host_uuid_buffer[UUID_STR_LEN];
|
|
QUERY_NODE *qn; // temp to pass on callbacks, ignore otherwise - no need to free
|
|
} QUERY_TARGET_LOCALS;
|
|
|
|
void query_target_release(QUERY_TARGET *qt) {
|
|
if(unlikely(!qt || !qt->used)) return;
|
|
|
|
simple_pattern_free(qt->nodes.scope_pattern);
|
|
qt->nodes.scope_pattern = NULL;
|
|
|
|
simple_pattern_free(qt->nodes.pattern);
|
|
qt->nodes.pattern = NULL;
|
|
|
|
simple_pattern_free(qt->contexts.scope_pattern);
|
|
qt->contexts.scope_pattern = NULL;
|
|
|
|
simple_pattern_free(qt->contexts.pattern);
|
|
qt->contexts.pattern = NULL;
|
|
|
|
simple_pattern_free(qt->instances.pattern);
|
|
qt->instances.pattern = NULL;
|
|
|
|
simple_pattern_free(qt->instances.chart_label_key_pattern);
|
|
qt->instances.chart_label_key_pattern = NULL;
|
|
|
|
simple_pattern_free(qt->instances.labels_pattern);
|
|
qt->instances.labels_pattern = NULL;
|
|
|
|
simple_pattern_free(qt->query.pattern);
|
|
qt->query.pattern = NULL;
|
|
|
|
// release the query
|
|
for(size_t i = 0, used = qt->query.used; i < used ;i++) {
|
|
QUERY_METRIC *qm = query_metric(qt, i);
|
|
query_metric_release(qm);
|
|
}
|
|
qt->query.used = 0;
|
|
|
|
// release the dimensions
|
|
for(size_t i = 0, used = qt->dimensions.used; i < used ; i++) {
|
|
QUERY_DIMENSION *qd = query_dimension(qt, i);
|
|
query_dimension_release(qd);
|
|
}
|
|
qt->dimensions.used = 0;
|
|
|
|
// release the instances
|
|
for(size_t i = 0, used = qt->instances.used; i < used ;i++) {
|
|
QUERY_INSTANCE *qi = query_instance(qt, i);
|
|
query_instance_release(qi);
|
|
}
|
|
qt->instances.used = 0;
|
|
|
|
// release the contexts
|
|
for(size_t i = 0, used = qt->contexts.used; i < used ;i++) {
|
|
QUERY_CONTEXT *qc = query_context(qt, i);
|
|
rrdcontext_release(qc->rca);
|
|
qc->rca = NULL;
|
|
}
|
|
qt->contexts.used = 0;
|
|
|
|
// release the nodes
|
|
for(size_t i = 0, used = qt->nodes.used; i < used ; i++) {
|
|
QUERY_NODE *qn = query_node(qt, i);
|
|
query_node_release(qn);
|
|
}
|
|
qt->nodes.used = 0;
|
|
|
|
qt->db.minimum_latest_update_every_s = 0;
|
|
qt->db.first_time_s = 0;
|
|
qt->db.last_time_s = 0;
|
|
|
|
qt->group_by.used = 0;
|
|
|
|
qt->id[0] = '\0';
|
|
|
|
qt->used = false;
|
|
}
|
|
void query_target_free(void) {
|
|
QUERY_TARGET *qt = &thread_query_target;
|
|
|
|
if(qt->used)
|
|
query_target_release(qt);
|
|
|
|
__atomic_sub_fetch(&netdata_buffers_statistics.query_targets_size, qt->query.size * sizeof(QUERY_METRIC), __ATOMIC_RELAXED);
|
|
freez(qt->query.array);
|
|
qt->query.array = NULL;
|
|
qt->query.size = 0;
|
|
|
|
__atomic_sub_fetch(&netdata_buffers_statistics.query_targets_size, qt->dimensions.size * sizeof(RRDMETRIC_ACQUIRED *), __ATOMIC_RELAXED);
|
|
freez(qt->dimensions.array);
|
|
qt->dimensions.array = NULL;
|
|
qt->dimensions.size = 0;
|
|
|
|
__atomic_sub_fetch(&netdata_buffers_statistics.query_targets_size, qt->instances.size * sizeof(RRDINSTANCE_ACQUIRED *), __ATOMIC_RELAXED);
|
|
freez(qt->instances.array);
|
|
qt->instances.array = NULL;
|
|
qt->instances.size = 0;
|
|
|
|
__atomic_sub_fetch(&netdata_buffers_statistics.query_targets_size, qt->contexts.size * sizeof(RRDCONTEXT_ACQUIRED *), __ATOMIC_RELAXED);
|
|
freez(qt->contexts.array);
|
|
qt->contexts.array = NULL;
|
|
qt->contexts.size = 0;
|
|
|
|
__atomic_sub_fetch(&netdata_buffers_statistics.query_targets_size, qt->nodes.size * sizeof(RRDHOST *), __ATOMIC_RELAXED);
|
|
freez(qt->nodes.array);
|
|
qt->nodes.array = NULL;
|
|
qt->nodes.size = 0;
|
|
}
|
|
|
|
#define query_target_retention_matches_query(qt, first_entry_s, last_entry_s, update_every_s) \
|
|
(((first_entry_s) - ((update_every_s) * 2) <= (qt)->window.before) && \
|
|
((last_entry_s) + ((update_every_s) * 2) >= (qt)->window.after))
|
|
|
|
|
|
static inline void query_metric_release(QUERY_METRIC *qm) {
|
|
// reset the plans
|
|
for(size_t p = 0; p < qm->plan.used; p++) {
|
|
internal_fatal(qm->plan.array[p].initialized &&
|
|
!qm->plan.array[p].finalized,
|
|
"QUERY: left-over initialized plan");
|
|
|
|
qm->plan.array[p].initialized = false;
|
|
qm->plan.array[p].finalized = false;
|
|
}
|
|
qm->plan.used = 0;
|
|
|
|
// reset the tiers
|
|
for(size_t tier = 0; tier < storage_tiers ;tier++) {
|
|
if(qm->tiers[tier].db_metric_handle) {
|
|
STORAGE_ENGINE *eng = qm->tiers[tier].eng;
|
|
eng->api.metric_release(qm->tiers[tier].db_metric_handle);
|
|
qm->tiers[tier].db_metric_handle = NULL;
|
|
qm->tiers[tier].eng = NULL;
|
|
}
|
|
}
|
|
}
|
|
|
|
static bool query_metric_add(QUERY_TARGET_LOCALS *qtl, QUERY_NODE *qn, QUERY_CONTEXT *qc,
|
|
QUERY_INSTANCE *qi, size_t qd_slot, RRDMETRIC *rm, RRDR_DIMENSION_FLAGS options) {
|
|
QUERY_TARGET *qt = qtl->qt;
|
|
RRDINSTANCE *ri = rm->ri;
|
|
|
|
time_t common_first_time_s = 0;
|
|
time_t common_last_time_s = 0;
|
|
time_t common_update_every_s = 0;
|
|
size_t tiers_added = 0;
|
|
|
|
struct {
|
|
STORAGE_ENGINE *eng;
|
|
STORAGE_METRIC_HANDLE *db_metric_handle;
|
|
time_t db_first_time_s;
|
|
time_t db_last_time_s;
|
|
time_t db_update_every_s;
|
|
} tier_retention[storage_tiers];
|
|
|
|
for (size_t tier = 0; tier < storage_tiers; tier++) {
|
|
STORAGE_ENGINE *eng = qn->rrdhost->db[tier].eng;
|
|
tier_retention[tier].eng = eng;
|
|
tier_retention[tier].db_update_every_s = (time_t) (qn->rrdhost->db[tier].tier_grouping * ri->update_every_s);
|
|
|
|
if(rm->rrddim && rm->rrddim->tiers[tier].db_metric_handle)
|
|
tier_retention[tier].db_metric_handle = eng->api.metric_dup(rm->rrddim->tiers[tier].db_metric_handle);
|
|
else
|
|
tier_retention[tier].db_metric_handle = eng->api.metric_get(qn->rrdhost->db[tier].instance, &rm->uuid);
|
|
|
|
if(tier_retention[tier].db_metric_handle) {
|
|
tier_retention[tier].db_first_time_s = tier_retention[tier].eng->api.query_ops.oldest_time_s(tier_retention[tier].db_metric_handle);
|
|
tier_retention[tier].db_last_time_s = tier_retention[tier].eng->api.query_ops.latest_time_s(tier_retention[tier].db_metric_handle);
|
|
|
|
if(!common_first_time_s)
|
|
common_first_time_s = tier_retention[tier].db_first_time_s;
|
|
else if(tier_retention[tier].db_first_time_s)
|
|
common_first_time_s = MIN(common_first_time_s, tier_retention[tier].db_first_time_s);
|
|
|
|
if(!common_last_time_s)
|
|
common_last_time_s = tier_retention[tier].db_last_time_s;
|
|
else
|
|
common_last_time_s = MAX(common_last_time_s, tier_retention[tier].db_last_time_s);
|
|
|
|
if(!common_update_every_s)
|
|
common_update_every_s = tier_retention[tier].db_update_every_s;
|
|
else if(tier_retention[tier].db_update_every_s)
|
|
common_update_every_s = MIN(common_update_every_s, tier_retention[tier].db_update_every_s);
|
|
|
|
tiers_added++;
|
|
}
|
|
else {
|
|
tier_retention[tier].db_first_time_s = 0;
|
|
tier_retention[tier].db_last_time_s = 0;
|
|
tier_retention[tier].db_update_every_s = 0;
|
|
}
|
|
}
|
|
|
|
for (size_t tier = 0; tier < storage_tiers; tier++) {
|
|
if(!qt->db.tiers[tier].update_every || (tier_retention[tier].db_update_every_s && tier_retention[tier].db_update_every_s < qt->db.tiers[tier].update_every))
|
|
qt->db.tiers[tier].update_every = tier_retention[tier].db_update_every_s;
|
|
|
|
if(!qt->db.tiers[tier].retention.first_time_s || (tier_retention[tier].db_first_time_s && tier_retention[tier].db_first_time_s < qt->db.tiers[tier].retention.first_time_s))
|
|
qt->db.tiers[tier].retention.first_time_s = tier_retention[tier].db_first_time_s;
|
|
|
|
if(!qt->db.tiers[tier].retention.last_time_s || (tier_retention[tier].db_last_time_s && tier_retention[tier].db_last_time_s > qt->db.tiers[tier].retention.last_time_s))
|
|
qt->db.tiers[tier].retention.last_time_s = tier_retention[tier].db_last_time_s;
|
|
}
|
|
|
|
bool timeframe_matches =
|
|
(tiers_added &&
|
|
query_target_retention_matches_query(qt, common_first_time_s, common_last_time_s, common_update_every_s))
|
|
? true : false;
|
|
|
|
if(timeframe_matches) {
|
|
if(ri->rrdset)
|
|
ri->rrdset->last_accessed_time_s = qtl->start_s;
|
|
|
|
if (qt->query.used == qt->query.size) {
|
|
size_t old_mem = qt->query.size * sizeof(*qt->query.array);
|
|
qt->query.size = (qt->query.size) ? qt->query.size * 2 : 1;
|
|
size_t new_mem = qt->query.size * sizeof(*qt->query.array);
|
|
qt->query.array = reallocz(qt->query.array, new_mem);
|
|
|
|
__atomic_add_fetch(&netdata_buffers_statistics.query_targets_size, new_mem - old_mem, __ATOMIC_RELAXED);
|
|
}
|
|
QUERY_METRIC *qm = &qt->query.array[qt->query.used++];
|
|
memset(qm, 0, sizeof(*qm));
|
|
|
|
qm->status = options;
|
|
|
|
qm->link.query_host_id = qn->slot;
|
|
qm->link.query_context_id = qc->slot;
|
|
qm->link.query_instance_id = qi->slot;
|
|
qm->link.query_dimension_id = qd_slot;
|
|
|
|
if (!qt->db.first_time_s || common_first_time_s < qt->db.first_time_s)
|
|
qt->db.first_time_s = common_first_time_s;
|
|
|
|
if (!qt->db.last_time_s || common_last_time_s > qt->db.last_time_s)
|
|
qt->db.last_time_s = common_last_time_s;
|
|
|
|
for (size_t tier = 0; tier < storage_tiers; tier++) {
|
|
qm->tiers[tier].eng = tier_retention[tier].eng;
|
|
qm->tiers[tier].db_metric_handle = tier_retention[tier].db_metric_handle;
|
|
qm->tiers[tier].db_first_time_s = tier_retention[tier].db_first_time_s;
|
|
qm->tiers[tier].db_last_time_s = tier_retention[tier].db_last_time_s;
|
|
qm->tiers[tier].db_update_every_s = tier_retention[tier].db_update_every_s;
|
|
}
|
|
|
|
return true;
|
|
}
|
|
else {
|
|
// cleanup anything we allocated to the retention we will not use
|
|
for(size_t tier = 0; tier < storage_tiers ;tier++) {
|
|
if (tier_retention[tier].db_metric_handle)
|
|
tier_retention[tier].eng->api.metric_release(tier_retention[tier].db_metric_handle);
|
|
}
|
|
|
|
return false;
|
|
}
|
|
}
|
|
|
|
static inline bool rrdmetric_retention_matches_query(QUERY_TARGET *qt, RRDMETRIC *rm, time_t now_s) {
|
|
time_t first_time_s = rm->first_time_s;
|
|
time_t last_time_s = rrd_flag_is_collected(rm) ? now_s : rm->last_time_s;
|
|
time_t update_every_s = rm->ri->update_every_s;
|
|
return query_target_retention_matches_query(qt, first_time_s, last_time_s, update_every_s);
|
|
}
|
|
|
|
static inline void query_dimension_release(QUERY_DIMENSION *qd) {
|
|
rrdmetric_release(qd->rma);
|
|
qd->rma = NULL;
|
|
}
|
|
|
|
static QUERY_DIMENSION *query_dimension_allocate(QUERY_TARGET *qt, RRDMETRIC_ACQUIRED *rma, QUERY_STATUS status) {
|
|
if(qt->dimensions.used == qt->dimensions.size) {
|
|
size_t old_mem = qt->dimensions.size * sizeof(*qt->dimensions.array);
|
|
qt->dimensions.size = (qt->dimensions.size) ? qt->dimensions.size * 2 : 1;
|
|
size_t new_mem = qt->dimensions.size * sizeof(*qt->dimensions.array);
|
|
qt->dimensions.array = reallocz(qt->dimensions.array, new_mem);
|
|
|
|
__atomic_add_fetch(&netdata_buffers_statistics.query_targets_size, new_mem - old_mem, __ATOMIC_RELAXED);
|
|
}
|
|
QUERY_DIMENSION *qd = &qt->dimensions.array[qt->dimensions.used];
|
|
memset(qd, 0, sizeof(*qd));
|
|
|
|
qd->slot = qt->dimensions.used++;
|
|
qd->rma = rrdmetric_acquired_dup(rma);
|
|
qd->status = status;
|
|
|
|
return qd;
|
|
}
|
|
|
|
static bool query_dimension_add(QUERY_TARGET_LOCALS *qtl, QUERY_NODE *qn, QUERY_CONTEXT *qc, QUERY_INSTANCE *qi,
|
|
RRDMETRIC_ACQUIRED *rma, bool queryable_instance, size_t *metrics_added) {
|
|
QUERY_TARGET *qt = qtl->qt;
|
|
|
|
RRDMETRIC *rm = rrdmetric_acquired_value(rma);
|
|
if(rrd_flag_is_deleted(rm))
|
|
return false;
|
|
|
|
QUERY_STATUS status = QUERY_STATUS_NONE;
|
|
|
|
bool undo = false;
|
|
if(!queryable_instance) {
|
|
if(rrdmetric_retention_matches_query(qt, rm, qtl->start_s)) {
|
|
qi->metrics.excluded++;
|
|
qc->metrics.excluded++;
|
|
qn->metrics.excluded++;
|
|
status |= QUERY_STATUS_EXCLUDED;
|
|
}
|
|
else
|
|
undo = true;
|
|
}
|
|
else {
|
|
RRDR_DIMENSION_FLAGS options = RRDR_DIMENSION_DEFAULT;
|
|
bool needed = false;
|
|
|
|
if (qt->query.pattern) {
|
|
// the user asked for specific dimensions
|
|
|
|
if ((qtl->match_ids && simple_pattern_matches_string(qt->query.pattern, rm->id)) ||
|
|
(qtl->match_names && rm->name != rm->id &&
|
|
simple_pattern_matches_string(qt->query.pattern, rm->name))) {
|
|
// the user asked for this dimension
|
|
needed = true;
|
|
options |= RRDR_DIMENSION_SELECTED | RRDR_DIMENSION_NONZERO;
|
|
}
|
|
else {
|
|
// the user selection does not match this dimension
|
|
// but, we may still need to query it
|
|
|
|
if (qt->request.options & RRDR_OPTION_PERCENTAGE) {
|
|
// this is percentage calculation
|
|
// so, we need this dimension to calculate the percentage
|
|
needed = true;
|
|
options |= RRDR_DIMENSION_HIDDEN;
|
|
}
|
|
else {
|
|
// the user did not select this dimension
|
|
// and the calculation is not percentage
|
|
// so, no need to query it
|
|
;
|
|
}
|
|
}
|
|
}
|
|
else {
|
|
// we don't have a dimensions pattern
|
|
// so this is a selected dimension
|
|
// if it is not hidden
|
|
|
|
if(rrd_flag_check(rm, RRD_FLAG_HIDDEN) || (rm->rrddim && rrddim_option_check(rm->rrddim, RRDDIM_OPTION_HIDDEN))) {
|
|
// this is a hidden dimension
|
|
// we don't need to query it
|
|
status |= QUERY_STATUS_DIMENSION_HIDDEN;
|
|
options |= RRDR_DIMENSION_HIDDEN;
|
|
|
|
if (qt->request.options & RRDR_OPTION_PERCENTAGE) {
|
|
// this is percentage calculation
|
|
// so, we need this dimension to calculate the percentage
|
|
needed = true;
|
|
}
|
|
}
|
|
else {
|
|
// this is a not hidden dimension
|
|
// and the user did not provide any selection for dimensions
|
|
// so, we need to query it
|
|
needed = true;
|
|
options |= RRDR_DIMENSION_SELECTED;
|
|
}
|
|
}
|
|
|
|
if (needed) {
|
|
if(query_metric_add(qtl, qn, qc, qi, qt->dimensions.used, rm, options)) {
|
|
(*metrics_added)++;
|
|
|
|
qi->metrics.selected++;
|
|
qc->metrics.selected++;
|
|
qn->metrics.selected++;
|
|
}
|
|
else {
|
|
undo = true;
|
|
qtl->metrics_skipped_due_to_not_matching_timeframe++;
|
|
}
|
|
}
|
|
else if(rrdmetric_retention_matches_query(qt, rm, qtl->start_s)) {
|
|
qi->metrics.excluded++;
|
|
qc->metrics.excluded++;
|
|
qn->metrics.excluded++;
|
|
status |= QUERY_STATUS_EXCLUDED;
|
|
}
|
|
else
|
|
undo = true;
|
|
}
|
|
|
|
if(undo)
|
|
return false;
|
|
|
|
query_dimension_allocate(qt, rma, status);
|
|
return true;
|
|
}
|
|
|
|
static inline STRING *rrdinstance_create_id_fqdn_v1(RRDINSTANCE_ACQUIRED *ria) {
|
|
if(unlikely(!ria))
|
|
return NULL;
|
|
|
|
RRDINSTANCE *ri = rrdinstance_acquired_value(ria);
|
|
return string_dup(ri->id);
|
|
}
|
|
|
|
static inline STRING *rrdinstance_create_name_fqdn_v1(RRDINSTANCE_ACQUIRED *ria) {
|
|
if(unlikely(!ria))
|
|
return NULL;
|
|
|
|
RRDINSTANCE *ri = rrdinstance_acquired_value(ria);
|
|
return string_dup(ri->name);
|
|
}
|
|
|
|
static inline STRING *rrdinstance_create_id_fqdn_v2(RRDINSTANCE_ACQUIRED *ria) {
|
|
if(unlikely(!ria))
|
|
return NULL;
|
|
|
|
char buffer[RRD_ID_LENGTH_MAX + 1];
|
|
|
|
RRDHOST *host = rrdinstance_acquired_rrdhost(ria);
|
|
snprintfz(buffer, RRD_ID_LENGTH_MAX, "%s@%s", rrdinstance_acquired_id(ria), host->machine_guid);
|
|
return string_strdupz(buffer);
|
|
}
|
|
|
|
static inline STRING *rrdinstance_create_name_fqdn_v2(RRDINSTANCE_ACQUIRED *ria) {
|
|
if(unlikely(!ria))
|
|
return NULL;
|
|
|
|
char buffer[RRD_ID_LENGTH_MAX + 1];
|
|
|
|
RRDHOST *host = rrdinstance_acquired_rrdhost(ria);
|
|
snprintfz(buffer, RRD_ID_LENGTH_MAX, "%s@%s", rrdinstance_acquired_name(ria), rrdhost_hostname(host));
|
|
return string_strdupz(buffer);
|
|
}
|
|
|
|
inline STRING *query_instance_id_fqdn(QUERY_TARGET *qt, QUERY_INSTANCE *qi) {
|
|
if(!qi->id_fqdn) {
|
|
if (qt->request.version <= 1)
|
|
qi->id_fqdn = rrdinstance_create_id_fqdn_v1(qi->ria);
|
|
else
|
|
qi->id_fqdn = rrdinstance_create_id_fqdn_v2(qi->ria);
|
|
}
|
|
|
|
return qi->id_fqdn;
|
|
}
|
|
|
|
inline STRING *query_instance_name_fqdn(QUERY_TARGET *qt, QUERY_INSTANCE *qi) {
|
|
if(!qi->name_fqdn) {
|
|
if (qt->request.version <= 1)
|
|
qi->name_fqdn = rrdinstance_create_name_fqdn_v1(qi->ria);
|
|
else
|
|
qi->name_fqdn = rrdinstance_create_name_fqdn_v2(qi->ria);
|
|
}
|
|
|
|
return qi->name_fqdn;
|
|
}
|
|
|
|
RRDSET *rrdinstance_acquired_rrdset(RRDINSTANCE_ACQUIRED *ria) {
|
|
RRDINSTANCE *ri = rrdinstance_acquired_value(ria);
|
|
return ri->rrdset;
|
|
}
|
|
|
|
const char *rrdcontext_acquired_units(RRDCONTEXT_ACQUIRED *rca) {
|
|
RRDCONTEXT *rc = rrdcontext_acquired_value(rca);
|
|
return string2str(rc->units);
|
|
}
|
|
|
|
RRDSET_TYPE rrdcontext_acquired_chart_type(RRDCONTEXT_ACQUIRED *rca) {
|
|
RRDCONTEXT *rc = rrdcontext_acquired_value(rca);
|
|
return rc->chart_type;
|
|
}
|
|
|
|
const char *rrdcontext_acquired_title(RRDCONTEXT_ACQUIRED *rca) {
|
|
RRDCONTEXT *rc = rrdcontext_acquired_value(rca);
|
|
return string2str(rc->title);
|
|
}
|
|
|
|
static void query_target_eval_instance_rrdcalc(QUERY_TARGET_LOCALS *qtl __maybe_unused,
|
|
QUERY_NODE *qn, QUERY_CONTEXT *qc, QUERY_INSTANCE *qi) {
|
|
RRDSET *st = rrdinstance_acquired_rrdset(qi->ria);
|
|
if (st) {
|
|
netdata_rwlock_rdlock(&st->alerts.rwlock);
|
|
for (RRDCALC *rc = st->alerts.base; rc; rc = rc->next) {
|
|
switch(rc->status) {
|
|
case RRDCALC_STATUS_CLEAR:
|
|
qi->alerts.clear++;
|
|
qc->alerts.clear++;
|
|
qn->alerts.clear++;
|
|
break;
|
|
|
|
case RRDCALC_STATUS_WARNING:
|
|
qi->alerts.warning++;
|
|
qc->alerts.warning++;
|
|
qn->alerts.warning++;
|
|
break;
|
|
|
|
case RRDCALC_STATUS_CRITICAL:
|
|
qi->alerts.critical++;
|
|
qc->alerts.critical++;
|
|
qn->alerts.critical++;
|
|
break;
|
|
|
|
default:
|
|
case RRDCALC_STATUS_UNINITIALIZED:
|
|
case RRDCALC_STATUS_UNDEFINED:
|
|
case RRDCALC_STATUS_REMOVED:
|
|
qi->alerts.other++;
|
|
qc->alerts.other++;
|
|
qn->alerts.other++;
|
|
break;
|
|
}
|
|
}
|
|
netdata_rwlock_unlock(&st->alerts.rwlock);
|
|
}
|
|
}
|
|
|
|
static bool query_target_match_alert_pattern(QUERY_INSTANCE *qi, SIMPLE_PATTERN *pattern) {
|
|
if(!pattern)
|
|
return true;
|
|
|
|
RRDSET *st = rrdinstance_acquired_rrdset(qi->ria);
|
|
if (!st)
|
|
return false;
|
|
|
|
BUFFER *wb = NULL;
|
|
bool matched = false;
|
|
netdata_rwlock_rdlock(&st->alerts.rwlock);
|
|
if (st->alerts.base) {
|
|
for (RRDCALC *rc = st->alerts.base; rc; rc = rc->next) {
|
|
if(simple_pattern_matches_string(pattern, rc->name)) {
|
|
matched = true;
|
|
break;
|
|
}
|
|
|
|
if(!wb)
|
|
wb = buffer_create(0, NULL);
|
|
else
|
|
buffer_flush(wb);
|
|
|
|
buffer_fast_strcat(wb, string2str(rc->name), string_strlen(rc->name));
|
|
buffer_fast_strcat(wb, ":", 1);
|
|
buffer_strcat(wb, rrdcalc_status2string(rc->status));
|
|
|
|
if(simple_pattern_matches_buffer(pattern, wb)) {
|
|
matched = true;
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
netdata_rwlock_unlock(&st->alerts.rwlock);
|
|
|
|
buffer_free(wb);
|
|
return matched;
|
|
}
|
|
|
|
static inline void query_instance_release(QUERY_INSTANCE *qi) {
|
|
rrdinstance_release(qi->ria);
|
|
qi->ria = NULL;
|
|
|
|
string_freez(qi->id_fqdn);
|
|
qi->id_fqdn = NULL;
|
|
|
|
string_freez(qi->name_fqdn);
|
|
qi->name_fqdn = NULL;
|
|
}
|
|
|
|
static inline QUERY_INSTANCE *query_instance_allocate(QUERY_TARGET *qt, RRDINSTANCE_ACQUIRED *ria, size_t qn_slot) {
|
|
if(qt->instances.used == qt->instances.size) {
|
|
size_t old_mem = qt->instances.size * sizeof(*qt->instances.array);
|
|
qt->instances.size = (qt->instances.size) ? qt->instances.size * 2 : 1;
|
|
size_t new_mem = qt->instances.size * sizeof(*qt->instances.array);
|
|
qt->instances.array = reallocz(qt->instances.array, new_mem);
|
|
|
|
__atomic_add_fetch(&netdata_buffers_statistics.query_targets_size, new_mem - old_mem, __ATOMIC_RELAXED);
|
|
}
|
|
QUERY_INSTANCE *qi = &qt->instances.array[qt->instances.used];
|
|
memset(qi, 0, sizeof(*qi));
|
|
|
|
qi->slot = qt->instances.used;
|
|
qt->instances.used++;
|
|
qi->ria = rrdinstance_acquired_dup(ria);
|
|
qi->query_host_id = qn_slot;
|
|
|
|
return qi;
|
|
}
|
|
|
|
static bool query_instance_add(QUERY_TARGET_LOCALS *qtl, QUERY_NODE *qn, QUERY_CONTEXT *qc,
|
|
RRDINSTANCE_ACQUIRED *ria, bool queryable_instance, bool filter_instances) {
|
|
RRDINSTANCE *ri = rrdinstance_acquired_value(ria);
|
|
if(rrd_flag_is_deleted(ri))
|
|
return false;
|
|
|
|
QUERY_TARGET *qt = qtl->qt;
|
|
QUERY_INSTANCE *qi = query_instance_allocate(qt, ria, qn->slot);
|
|
|
|
if(qt->db.minimum_latest_update_every_s == 0 || ri->update_every_s < qt->db.minimum_latest_update_every_s)
|
|
qt->db.minimum_latest_update_every_s = ri->update_every_s;
|
|
|
|
if(queryable_instance && filter_instances) {
|
|
queryable_instance = false;
|
|
if(!qt->instances.pattern
|
|
|| (qtl->match_ids && simple_pattern_matches_string(qt->instances.pattern, ri->id))
|
|
|| (qtl->match_names && ri->name != ri->id && simple_pattern_matches_string(qt->instances.pattern, ri->name))
|
|
|| (qtl->match_ids && simple_pattern_matches_string(qt->instances.pattern, query_instance_id_fqdn(qt, qi)))
|
|
|| (qtl->match_names && simple_pattern_matches_string(qt->instances.pattern, query_instance_name_fqdn(qt, qi)))
|
|
)
|
|
queryable_instance = true;
|
|
}
|
|
|
|
if(queryable_instance) {
|
|
if ((qt->instances.chart_label_key_pattern && !rrdlabels_match_simple_pattern_parsed(
|
|
ri->rrdlabels, qt->instances.chart_label_key_pattern,'\0', NULL)) ||
|
|
(qt->instances.labels_pattern && !rrdlabels_match_simple_pattern_parsed(
|
|
ri->rrdlabels, qt->instances.labels_pattern, ':', NULL)))
|
|
queryable_instance = false;
|
|
}
|
|
|
|
if(queryable_instance) {
|
|
if(qt->instances.alerts_pattern && !query_target_match_alert_pattern(qi, qt->instances.alerts_pattern))
|
|
queryable_instance = false;
|
|
}
|
|
|
|
if(queryable_instance && qt->request.version >= 2)
|
|
query_target_eval_instance_rrdcalc(qtl, qn, qc, qi);
|
|
|
|
size_t dimensions_added = 0, metrics_added = 0;
|
|
|
|
if(unlikely(qt->request.rma)) {
|
|
if(query_dimension_add(qtl, qn, qc, qi, qt->request.rma, queryable_instance, &metrics_added))
|
|
dimensions_added++;
|
|
}
|
|
else {
|
|
RRDMETRIC *rm;
|
|
dfe_start_read(ri->rrdmetrics, rm) {
|
|
if(query_dimension_add(qtl, qn, qc, qi, (RRDMETRIC_ACQUIRED *) rm_dfe.item,
|
|
queryable_instance, &metrics_added))
|
|
dimensions_added++;
|
|
}
|
|
dfe_done(rm);
|
|
}
|
|
|
|
if(!dimensions_added) {
|
|
qt->instances.used--;
|
|
query_instance_release(qi);
|
|
return false;
|
|
}
|
|
else {
|
|
if(metrics_added) {
|
|
qc->instances.selected++;
|
|
qn->instances.selected++;
|
|
}
|
|
else {
|
|
qc->instances.excluded++;
|
|
qn->instances.excluded++;
|
|
}
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
static inline void query_context_release(QUERY_CONTEXT *qc) {
|
|
rrdcontext_release(qc->rca);
|
|
qc->rca = NULL;
|
|
}
|
|
|
|
static inline QUERY_CONTEXT *query_context_allocate(QUERY_TARGET *qt, RRDCONTEXT_ACQUIRED *rca) {
|
|
if(qt->contexts.used == qt->contexts.size) {
|
|
size_t old_mem = qt->contexts.size * sizeof(*qt->contexts.array);
|
|
qt->contexts.size = (qt->contexts.size) ? qt->contexts.size * 2 : 1;
|
|
size_t new_mem = qt->contexts.size * sizeof(*qt->contexts.array);
|
|
qt->contexts.array = reallocz(qt->contexts.array, new_mem);
|
|
|
|
__atomic_add_fetch(&netdata_buffers_statistics.query_targets_size, new_mem - old_mem, __ATOMIC_RELAXED);
|
|
}
|
|
QUERY_CONTEXT *qc = &qt->contexts.array[qt->contexts.used];
|
|
memset(qc, 0, sizeof(*qc));
|
|
qc->slot = qt->contexts.used++;
|
|
qc->rca = rrdcontext_acquired_dup(rca);
|
|
|
|
return qc;
|
|
}
|
|
|
|
static bool query_context_add(void *data, RRDCONTEXT_ACQUIRED *rca, bool queryable_context) {
|
|
QUERY_TARGET_LOCALS *qtl = data;
|
|
|
|
RRDCONTEXT *rc = rrdcontext_acquired_value(rca);
|
|
if(rrd_flag_is_deleted(rc))
|
|
return false;
|
|
|
|
QUERY_NODE *qn = qtl->qn;
|
|
QUERY_TARGET *qt = qtl->qt;
|
|
QUERY_CONTEXT *qc = query_context_allocate(qt, rca);
|
|
|
|
size_t added = 0;
|
|
if(unlikely(qt->request.ria)) {
|
|
if(query_instance_add(qtl, qn, qc, qt->request.ria, queryable_context, false))
|
|
added++;
|
|
}
|
|
else if(unlikely(qtl->st && qtl->st->rrdcontext == rca && qtl->st->rrdinstance)) {
|
|
if(query_instance_add(qtl, qn, qc, qtl->st->rrdinstance, queryable_context, false))
|
|
added++;
|
|
}
|
|
else {
|
|
RRDINSTANCE *ri;
|
|
dfe_start_read(rc->rrdinstances, ri) {
|
|
if(query_instance_add(qtl, qn, qc, (RRDINSTANCE_ACQUIRED *) ri_dfe.item, queryable_context, true))
|
|
added++;
|
|
}
|
|
dfe_done(ri);
|
|
}
|
|
|
|
if(!added) {
|
|
query_context_release(qc);
|
|
qt->contexts.used--;
|
|
return false;
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
static inline void query_node_release(QUERY_NODE *qn) {
|
|
qn->rrdhost = NULL;
|
|
}
|
|
|
|
static inline QUERY_NODE *query_node_allocate(QUERY_TARGET *qt, RRDHOST *host) {
|
|
if(qt->nodes.used == qt->nodes.size) {
|
|
size_t old_mem = qt->nodes.size * sizeof(*qt->nodes.array);
|
|
qt->nodes.size = (qt->nodes.size) ? qt->nodes.size * 2 : 1;
|
|
size_t new_mem = qt->nodes.size * sizeof(*qt->nodes.array);
|
|
qt->nodes.array = reallocz(qt->nodes.array, new_mem);
|
|
|
|
__atomic_add_fetch(&netdata_buffers_statistics.query_targets_size, new_mem - old_mem, __ATOMIC_RELAXED);
|
|
}
|
|
QUERY_NODE *qn = &qt->nodes.array[qt->nodes.used];
|
|
memset(qn, 0, sizeof(*qn));
|
|
|
|
qn->slot = qt->nodes.used++;
|
|
qn->rrdhost = host;
|
|
|
|
return qn;
|
|
}
|
|
|
|
static bool query_node_add(void *data, RRDHOST *host, bool queryable_host) {
|
|
QUERY_TARGET_LOCALS *qtl = data;
|
|
QUERY_TARGET *qt = qtl->qt;
|
|
QUERY_NODE *qn = query_node_allocate(qt, host);
|
|
|
|
if(host->node_id) {
|
|
if(!qtl->host_uuid_buffer[0])
|
|
uuid_unparse_lower(*host->node_id, qn->node_id);
|
|
else
|
|
memcpy(qn->node_id, qtl->host_uuid_buffer, sizeof(qn->node_id));
|
|
}
|
|
else
|
|
qn->node_id[0] = '\0';
|
|
|
|
// is the chart given valid?
|
|
if(unlikely(qtl->st && (!qtl->st->rrdinstance || !qtl->st->rrdcontext))) {
|
|
error("QUERY TARGET: RRDSET '%s' given, but it is not linked to rrdcontext structures. Linking it now.", rrdset_name(qtl->st));
|
|
rrdinstance_from_rrdset(qtl->st);
|
|
|
|
if(unlikely(qtl->st && (!qtl->st->rrdinstance || !qtl->st->rrdcontext))) {
|
|
error("QUERY TARGET: RRDSET '%s' given, but failed to be linked to rrdcontext structures. Switching to context query.",
|
|
rrdset_name(qtl->st));
|
|
|
|
if (!is_valid_sp(qtl->charts))
|
|
qtl->charts = rrdset_name(qtl->st);
|
|
|
|
qtl->st = NULL;
|
|
}
|
|
}
|
|
|
|
qtl->qn = qn;
|
|
|
|
size_t added = 0;
|
|
if(unlikely(qt->request.rca)) {
|
|
if(query_context_add(qtl, qt->request.rca, true))
|
|
added++;
|
|
}
|
|
else if(unlikely(qtl->st)) {
|
|
// single chart data queries
|
|
if(query_context_add(qtl, qtl->st->rrdcontext, true))
|
|
added++;
|
|
}
|
|
else {
|
|
// context pattern queries
|
|
added = query_scope_foreach_context(
|
|
host, qtl->scope_contexts,
|
|
qt->contexts.scope_pattern, qt->contexts.pattern,
|
|
query_context_add, queryable_host, qtl);
|
|
}
|
|
|
|
qtl->qn = NULL;
|
|
|
|
if(!added) {
|
|
query_node_release(qn);
|
|
qt->nodes.used--;
|
|
return false;
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
void query_target_generate_name(QUERY_TARGET *qt) {
|
|
char options_buffer[100 + 1];
|
|
web_client_api_request_v1_data_options_to_string(options_buffer, 100, qt->request.options);
|
|
|
|
char resampling_buffer[20 + 1] = "";
|
|
if(qt->request.resampling_time > 1)
|
|
snprintfz(resampling_buffer, 20, "/resampling:%lld", (long long)qt->request.resampling_time);
|
|
|
|
char tier_buffer[20 + 1] = "";
|
|
if(qt->request.options & RRDR_OPTION_SELECTED_TIER)
|
|
snprintfz(tier_buffer, 20, "/tier:%zu", qt->request.tier);
|
|
|
|
if(qt->request.st)
|
|
snprintfz(qt->id, MAX_QUERY_TARGET_ID_LENGTH, "chart://hosts:%s/instance:%s/dimensions:%s/after:%lld/before:%lld/points:%zu/group:%s%s/options:%s%s%s"
|
|
, rrdhost_hostname(qt->request.st->rrdhost)
|
|
, rrdset_name(qt->request.st)
|
|
, (qt->request.dimensions) ? qt->request.dimensions : "*"
|
|
, (long long)qt->request.after
|
|
, (long long)qt->request.before
|
|
, qt->request.points
|
|
, time_grouping_tostring(qt->request.time_group_method)
|
|
, qt->request.time_group_options ? qt->request.time_group_options : ""
|
|
, options_buffer
|
|
, resampling_buffer
|
|
, tier_buffer
|
|
);
|
|
else if(qt->request.host && qt->request.rca && qt->request.ria && qt->request.rma)
|
|
snprintfz(qt->id, MAX_QUERY_TARGET_ID_LENGTH, "metric://hosts:%s/context:%s/instance:%s/dimension:%s/after:%lld/before:%lld/points:%zu/group:%s%s/options:%s%s%s"
|
|
, rrdhost_hostname(qt->request.host)
|
|
, rrdcontext_acquired_id(qt->request.rca)
|
|
, rrdinstance_acquired_id(qt->request.ria)
|
|
, rrdmetric_acquired_id(qt->request.rma)
|
|
, (long long)qt->request.after
|
|
, (long long)qt->request.before
|
|
, qt->request.points
|
|
, time_grouping_tostring(qt->request.time_group_method)
|
|
, qt->request.time_group_options ? qt->request.time_group_options : ""
|
|
, options_buffer
|
|
, resampling_buffer
|
|
, tier_buffer
|
|
);
|
|
else if(qt->request.version >= 2)
|
|
snprintfz(qt->id, MAX_QUERY_TARGET_ID_LENGTH, "data_v2://scope_nodes:%s/scope_contexts:%s/nodes:%s/contexts:%s/instances:%s/labels:%s/dimensions:%s/after:%lld/before:%lld/points:%zu/time_group:%s%s/options:%s%s%s"
|
|
, qt->request.scope_nodes ? qt->request.scope_nodes : "*"
|
|
, qt->request.scope_contexts ? qt->request.scope_contexts : "*"
|
|
, qt->request.nodes ? qt->request.nodes : "*"
|
|
, (qt->request.contexts) ? qt->request.contexts : "*"
|
|
, (qt->request.instances) ? qt->request.instances : "*"
|
|
, (qt->request.labels) ? qt->request.labels : "*"
|
|
, (qt->request.dimensions) ? qt->request.dimensions : "*"
|
|
, (long long)qt->request.after
|
|
, (long long)qt->request.before
|
|
, qt->request.points
|
|
, time_grouping_tostring(qt->request.time_group_method)
|
|
, qt->request.time_group_options ? qt->request.time_group_options : ""
|
|
, options_buffer
|
|
, resampling_buffer
|
|
, tier_buffer
|
|
);
|
|
else
|
|
snprintfz(qt->id, MAX_QUERY_TARGET_ID_LENGTH, "context://hosts:%s/contexts:%s/instances:%s/dimensions:%s/after:%lld/before:%lld/points:%zu/group:%s%s/options:%s%s%s"
|
|
, (qt->request.host) ? rrdhost_hostname(qt->request.host) : ((qt->request.nodes) ? qt->request.nodes : "*")
|
|
, (qt->request.contexts) ? qt->request.contexts : "*"
|
|
, (qt->request.instances) ? qt->request.instances : "*"
|
|
, (qt->request.dimensions) ? qt->request.dimensions : "*"
|
|
, (long long)qt->request.after
|
|
, (long long)qt->request.before
|
|
, qt->request.points
|
|
, time_grouping_tostring(qt->request.time_group_method)
|
|
, qt->request.time_group_options ? qt->request.time_group_options : ""
|
|
, options_buffer
|
|
, resampling_buffer
|
|
, tier_buffer
|
|
);
|
|
|
|
json_fix_string(qt->id);
|
|
}
|
|
|
|
QUERY_TARGET *query_target_create(QUERY_TARGET_REQUEST *qtr) {
|
|
if(!service_running(ABILITY_DATA_QUERIES))
|
|
return NULL;
|
|
|
|
QUERY_TARGET *qt = &thread_query_target;
|
|
|
|
if(qt->used)
|
|
fatal("QUERY TARGET: this query target is already used (%zu queries made with this QUERY_TARGET so far).", qt->queries);
|
|
|
|
qt->used = true;
|
|
qt->queries++;
|
|
|
|
if(!qtr->received_ut)
|
|
qtr->received_ut = now_monotonic_usec();
|
|
|
|
qt->timings.received_ut = qtr->received_ut;
|
|
|
|
if(qtr->nodes && !qtr->scope_nodes)
|
|
qtr->scope_nodes = qtr->nodes;
|
|
|
|
if(qtr->contexts && !qtr->scope_contexts)
|
|
qtr->scope_contexts = qtr->contexts;
|
|
|
|
memset(&qt->db, 0, sizeof(qt->db));
|
|
memset(&qt->query_stats, 0, sizeof(qt->query_stats));
|
|
|
|
// copy the request into query_thread_target
|
|
qt->request = *qtr;
|
|
|
|
query_target_generate_name(qt);
|
|
qt->window.after = qt->request.after;
|
|
qt->window.before = qt->request.before;
|
|
rrdr_relative_window_to_absolute(&qt->window.after, &qt->window.before);
|
|
|
|
// prepare our local variables - we need these across all these functions
|
|
QUERY_TARGET_LOCALS qtl = {
|
|
.qt = qt,
|
|
.start_s = now_realtime_sec(),
|
|
.st = qt->request.st,
|
|
.scope_nodes = qt->request.scope_nodes,
|
|
.scope_contexts = qt->request.scope_contexts,
|
|
.nodes = qt->request.nodes,
|
|
.contexts = qt->request.contexts,
|
|
.charts = qt->request.instances,
|
|
.dimensions = qt->request.dimensions,
|
|
.chart_label_key = qt->request.chart_label_key,
|
|
.labels = qt->request.labels,
|
|
.alerts = qt->request.alerts,
|
|
};
|
|
|
|
RRDHOST *host = qt->request.host;
|
|
|
|
// prepare all the patterns
|
|
qt->nodes.scope_pattern = string_to_simple_pattern(qtl.scope_nodes);
|
|
qt->nodes.pattern = string_to_simple_pattern(qtl.nodes);
|
|
|
|
qt->contexts.pattern = string_to_simple_pattern(qtl.contexts);
|
|
qt->contexts.scope_pattern = string_to_simple_pattern(qtl.scope_contexts);
|
|
|
|
qt->instances.pattern = string_to_simple_pattern(qtl.charts);
|
|
qt->query.pattern = string_to_simple_pattern(qtl.dimensions);
|
|
qt->instances.chart_label_key_pattern = string_to_simple_pattern(qtl.chart_label_key);
|
|
qt->instances.labels_pattern = string_to_simple_pattern(qtl.labels);
|
|
qt->instances.alerts_pattern = string_to_simple_pattern(qtl.alerts);
|
|
|
|
qtl.match_ids = qt->request.options & RRDR_OPTION_MATCH_IDS;
|
|
qtl.match_names = qt->request.options & RRDR_OPTION_MATCH_NAMES;
|
|
if(likely(!qtl.match_ids && !qtl.match_names))
|
|
qtl.match_ids = qtl.match_names = true;
|
|
|
|
// verify that the chart belongs to the host we are interested
|
|
if(qtl.st) {
|
|
if (!host) {
|
|
// It is NULL, set it ourselves.
|
|
host = qtl.st->rrdhost;
|
|
}
|
|
else if (unlikely(host != qtl.st->rrdhost)) {
|
|
// Oops! A different host!
|
|
error("QUERY TARGET: RRDSET '%s' given does not belong to host '%s'. Switching query host to '%s'",
|
|
rrdset_name(qtl.st), rrdhost_hostname(host), rrdhost_hostname(qtl.st->rrdhost));
|
|
host = qtl.st->rrdhost;
|
|
}
|
|
}
|
|
|
|
if(host) {
|
|
// single host query
|
|
qt->versions.contexts_hard_hash = dictionary_version(host->rrdctx.contexts);
|
|
qt->versions.contexts_soft_hash = dictionary_version(host->rrdctx.hub_queue);
|
|
query_node_add(&qtl, host, true);
|
|
qtl.nodes = rrdhost_hostname(host);
|
|
}
|
|
else
|
|
query_scope_foreach_host(qt->nodes.scope_pattern, qt->nodes.pattern, query_node_add, &qtl,
|
|
&qt->versions.contexts_hard_hash, &qt->versions.contexts_soft_hash,
|
|
qtl.host_uuid_buffer);
|
|
|
|
// we need the available db retention for this call
|
|
// so it has to be done last
|
|
query_target_calculate_window(qt);
|
|
|
|
qt->timings.preprocessed_ut = now_monotonic_usec();
|
|
|
|
return qt;
|
|
}
|