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* 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
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* Port ML from C++ to C.
Pretty much everything is a non-functional change, ie.
the functionality is identical to the one provided
by the existing implementation that is written in C++.
Performance-wise, this implementation:
- Eliminates/reduces the number of allocations and
deallocations we have to do for training/detection,
- Uses just a single thread to perform detection for
*all* the hosts (ie. reduces the number of required
threads by 50% on parents), and
- Allows training, prediction and detection of
dimensions that have an update_every that is
different from that of the localhost.
The only C++ functionality that we still use
is vectors, because they make our life easier
and they are pretty much a requirement imposed
by dlib.
* Remove profile.plugin
It was useful only for testing during development.
* Limit logs to 200 lines per period
* Properly generate ml_info in /api/v1/info endpoint.
* Remove resource usage charts since we use worker charts.
* Use a temporary to make linters happy.
* Rebase.
* Fix builds that have ML functionality disabled.
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