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* Tier part 1 * Tier part 2 * Tier part 3 * Tier part 4 * Tier part 5 * Fix some ML compilation errors * fix more conflicts * pass proper tier * move metric_uuid from state to RRDDIM * move aclk_live_status from state to RRDDIM * move ml_dimension from state to RRDDIM * abstracted the data collection interface * support flushing for mem db too * abstracted the query api * abstracted latest/oldest time per metric * cleanup * store_metric for tier1 * fix for store_metric * allow multiple tiers, more than 2 * state to tier * Change storage type in db. Query param to request min, max, sum or average * Store tier data correctly * Fix skipping tier page type * Add tier grouping in the tier * Fix to handle archived charts (part 1) * Temp fix for query granularity when requesting tier1 data * Fix parameters in the correct order and calculate the anomaly based on the anomaly count * Proper tiering grouping * Anomaly calculation based on anomaly count * force type checking on storage handles * update cmocka tests * fully dynamic number of storage tiers * fix static allocation * configure grouping for all tiers; disable tiers for unittest; disable statsd configuration for private charts mode * use default page dt using the tiering info * automatic selection of tier * fix for automatic selection of tier * working prototype of dynamic tier selection * automatic selection of tier done right (I hope) * ask for the proper tier value, based on the grouping function * fixes for unittests and load_metric_next() * fixes for lgtm findings * minor renames * add dbengine to page cache size setting * add dbengine to page cache with malloc * query engine optimized to loop as little are required based on the view_update_every * query engine grouping methods now do not assume a constant number of points per group and they allocate memory with OWA * report db points per tier in jsonwrap * query planer that switches database tiers on the fly to satisfy the query for the entire timeframe * dbegnine statistics and documentation (in progress) * calculate average point duration in db * handle single point pages the best we can * handle single point pages even better * Keep page type in the rrdeng_page_descr * updated doc * handle future backwards compatibility - improved statistics * support &tier=X in queries * enfore increasing iterations on tiers * tier 1 is always 1 iteration * backfilling higher tiers on first data collection * reversed anomaly bit * set up to 5 tiers * natural points should only be offered on tier 0, except a specific tier is selected * do not allow more than 65535 points of tier0 to be aggregated on any tier * Work only on actually activated tiers * fix query interpolation * fix query interpolation again * fix lgtm finding * Activate one tier for now * backfilling of higher tiers using raw metrics from lower tiers * fix for crash on start when storage tiers is increased from the default * more statistics on exit * fix bug that prevented higher tiers to get any values; added backfilling options * fixed the statistics log line * removed limit of 255 iterations per tier; moved the code of freezing rd->tiers[x]->db_metric_handle * fixed division by zero on zero points_wanted * removed dead code * Decide on the descr->type for the type of metric * dont store metrics on unknown page types * free db_metric_handle on sql based context queries * Disable STORAGE_POINT value check in the exporting engine unit tests * fix for db modes other than dbengine * fix for aclk archived chart queries destroying db_metric_handles of valid rrddims * fix left-over freez() instead of OWA freez on median queries Co-authored-by: Costa Tsaousis <costa@netdata.cloud> Co-authored-by: Vladimir Kobal <vlad@prokk.net> |
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| .. | ||
| configure | ||
| deploy | ||
| export | ||
| monitor | ||
| step-by-step | ||
| troubleshoot | ||
| collect-apache-nginx-web-logs.md | ||
| collect-unbound-metrics.md | ||
| longer-metrics-storage.md | ||
| monitor-cockroachdb.md | ||
| monitor-hadoop-cluster.md | ||
| python-collector.md | ||
| using-host-labels.md | ||