TODO (suggested by Nikolai)
1. Build query plan fro current query (inside storage::read) up to WithMergableState
2. Check, that plan is simple enough: Aggregating - Expression - Filter - ReadFromStorage (or simplier)
3. Check, that filter is the same as filter in projection, and also expression calculates the same aggregation keys as in projection
4. Return WithMergableState if projection applies
3 will be easier to do with ActionsDAG, cause it sees all functions, and dependencies are direct (but it is possible with ExpressionActions also)
Also need to figure out how prewhere works for projections, and
row_filter_policies.
wip
Add 3 new engine arguments:
- flush_time
- flush_rows
- flush_bytes
That will be checked only for background flush, this maybe useful if
INSERT latency is "crucial".
It uses very fast CLOCK_MONOTONIC_COARSE, so this should not be a
problem.
Also note that there is no sense in using microseconds/nanoseconds since
accuracy of CLOCK_MONOTONIC_COARSE usually milliseconds.
Add two new settings for the Distributed engine:
- bytes_to_delay_insert
- max_delay_to_insert
If at the beginning of INSERT there will be too much pending data, more
then bytes_to_delay_insert, then the INSERT will wait until it will be
shrinked, and not more then max_delay_to_insert seconds.
If after this there will be still too much pending, it will throw an
exception.
Also new profile events were added (by analogy to the MergeTree):
- DistributedDelayedInserts (although you can use system.errors instead
of this, but still)
- DistributedRejectedInserts
- DistributedDelayedInsertsMilliseconds
