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This PR extends #9209. It consists of 2 main points: To enable parallelization of user-defined aggregates, reduction function was added to UDA definition. Reduction function is optional and it has to be scalar function that takes 2 arguments with type of UDA's state and returns UDA's state All currently implemented native aggregates got their reducible counterpart, which return their state as final result, so it can be reduced with other result. Hence all native aggregates can now be distributed. Local 3-node cluster made with current master. `node1` updated to this branch. Accessing node with `ccm <node-name> cqlsh` I've tested belowed things from both old and new node: - creating UDA with reduce function - not allowed - selecting count(*) - distributed - selecting other aggregate function - not distributed Fixes: #10224 Closes #10295 * github.com:scylladb/scylla: test: add tests for parallelized aggregates test: cql3: Add UDA REDUCEFUNC test forward_service: enable multiple selection forward_service: support UDA and native aggregate parallelization cql3:functions: Add cql3::functions::functions::mock_get() cql3: selection: detect parallelize reduction type db,cql3: Move part of cql3's function into db selection: detect if selectors factory contains only simple selectors cql3: reducible aggregates DB: Add `scylla_aggregates` system table db,gms: Add SCYLLA_AGGREGATES schema features CQL3: Add reduce function to UDA gms: add UDA_NATIVE_PARALLELIZED_AGGREGATION feature