The purpose of extra filters ( https://docs.victoriametrics.com/victorialogs/querying/#extra-filters )
is to limit the subset of logs, which can be queried. For example, it is expected that all the queries
with `extra_filters={tenant=123}` can access only logs, which contain `123` value for the `tenant` field.
Previously this wasn't the case, since the provided extra filters weren't applied to subqueries.
For example, the following query could be used to select all the logs outside `tenant=123`, for any `extra_filters` arg:
* | union({tenant!=123})
This commit fixes this by propagating extra filters to all the subqueries.
While at it, this commit also properly propagates [start, end] time range filter from HTTP querying APIs
into all the subqueries, since this is what most users expect. This behaviour can be overriden on per-subquery
basis with the `options(ignore_global_time_filter=true)` option - see https://docs.victoriametrics.com/victorialogs/logsql/#query-options
Also properly apply apply optimizations across all the subqueries. Previously the optimizations at Query.optimize()
function were applied only to the top-level query.
While at it, reduce memory allocations at Storage.getFieldValuesNoHits and make it more scalable on multi-CPU systems.
This improves performance of in(<query>) filter when the <query> returns big number of values.
Use chunked allocator in order to reduce memory allocations. It allocates objects from slices of up to 64Kb size.
This improves performance for `stats` and `top` pipes by up to 2x when they are applied to big number of `by (...)` groups.
Also parallelize execution of `count_uniq`, `count_uniq_hash` and `uniq_values` stats functions,
so they are executed faster on hosts with many CPU cores when applied to fields with big number
of unique values.
This eliminates possible bugs related to forgotten Query.Optimize() calls.
This also allows removing optimize() function from pipe interface.
While at it, drop filterNoop inside filterAnd.
This improves performance of `field_values` pipe when it is applied to large number of data blocks.
This also improves performance of /select/logsql/field_values HTTP API.
This pipe is useful for debugging purposes when the number of processed blocks must be calculated for the given query:
<query> | blocks_count
This helps detecting the root cause of query performance slowdown in cases like https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7070
