(ILLEGAL_AGGREGATION) (version 22.2.1.4050) (from [::ffff:127.0.0.1]:47462) (in query: SELECT countDistinct(value, countDistinct(value, value), value), countDistinct(value) FROM replicated_mutations_empty_partitions), Stack trace (when copying this message, always include the lines below): 0...
-- Create a materialized view of the schedule, which pre aggregates the schedule -- Note: the functions used for pre aggregation are: sumState, uniqState. Corresponding to write syntax<agg>-State. CREATE MATERIALIZED VIEW visits_agg_view ENGINE = AggregatingMergeTree() PARTITION BY toYYYYMM(St...
May you please check if the analyzer should support this query? SELECT * FROM (SELECT sum(number) FROM numbers(10)) SETTINGS allow_experimental_analyzer = 1; DB::Exception: Aggregate function sum(number) is found in JOIN TREE in query. (ILLEGAL_AGGREGATION)Collaborator...
Received exception from server (version 21.12.1): Code: 153. DB::Exception: Received from localhost:9000. DB::Exception: Division by zero: While processing intDiv(1, 0). (ILLEGAL_DIVISION) intDivOrZero(a, b) 与“intDiv”的不同之处在于它在除以0时返回0。 SELECT intDivOrZero(1, 0) AS ...
{returnrequired_columns;}boolhasAggregation()const{returnquery_analyzer->hasAggregation();}staticvoidaddEmptySourceToQueryPlan(QueryPlan&query_plan,constBlock&source_header,constSelectQueryInfo&query_info,ContextPtrcontext_);NamesgetRequiredColumns(){returnrequired_columns;}private:InterpreterSelectQuery(const...
Further deprecation of already unused code.This is relevant only for users of ClickHouse versions older than 20.6. A "leader election" mechanism is removed fromReplicatedMergeTree, because multiple leaders are supported since 20.6. If you are upgrading from an older version and some replica with an...
Two-level aggregation algorithm was mistakenly disabled for queries over the HTTP interface. It was enabled back, and it leads to a major performance improvement. #45450 (Nikolai Kochetov). Added mmap support for StorageFile, which should improve the performance of clickhouse-local. #43927 (...
(UDF) function issimple. UsinggroupArrayArrayshows significantly better results working with large datasets but we still occasionally get memory limit exceeded errors. Using available max size works but not all elements gets aggregated. So the ask is whether we can control internal aggregation batch ...
(version 23.8.1): Code: 43. DB::Exception: Received from localhost:9000. DB::Exception: array aggregation function cannot be performed on type Array(UInt8): While processing arrayMin([[3], [1], [2]]). (ILLEGAL_TYPE_OF_ARGUMENT) milovidov-desktop :) SELECT arrayReduce('min', [[3...
DB::Exception: Illegal type Tuple(UInt8, Float64) of argument for aggregate function with ForEach suffix. Must be array.. (ILLEGAL_TYPE_OF_ARGUMENT) Array version requires same data types and is not suitable for mixed types. SELECT sumForEach(a) FROM ( SELECT [1, 1.5] AS a UNION ...