in some case, the output slots of agg info may be materialized by call SlotDescriptor's materializeSrcExpr method, but not the intermediate slots. This pr set intermediate slots materialized info to keep consistent with output slots.
# Proposed changes
First step of #12303
## Problem summary
This is the first step for supporting rollup index selection for aggregate/unique key OLAP table.
This PR aims to select rollup index when the aggregate node is present and the aggregate function matches the value type. So pre-aggregation is turned on by default. Cases that pre-aggregation should be turned off will be addressed in the next PR.
Main steps for rollup index selection:
1. filter rollup indexes with all the required columns.
2. filter rollup indexes that match the key prefix most.
3. order the rollup indexes by row count, column count, rollup index id.
TODO remaining:
1. address cases that pre-aggregation should be turned off. (next PR)
2. add more test cases.
Refactor
- Add `Project.getSlotToProducer` to extract a map from the project output slot to its producing expression.
- Add `Filter.getConjuncts` to split the filter condition to conjunctive predicates.
- Move the usage of `ExpressionReplacer` to `ExpressionUtils.replace(expr, replaceMap)` to simplify the code.
When the current non-correlated subquery is executed, an error will be reported that the corresponding column cannot be found.
The reason is that the tupleID of the child obtained in visitPhysicalNestedLoopJoin is not consistent with the child.
The non-correlated subquery will trigger this bug because it uses crossJoin.
At the same time, sub-query regression tests for non-associative and complex scenarios have been added
Co-authored-by: morrySnow <morrysnow@126.com>
In the earlier PR #11812 , we split join condition into two parts: hash join conjuncts and other condition. But we forgot to translate other condition into other conjuncts in HashJoinNode of legacy planner. So we get wrong result if query has other condition on join node. Such as:
SELECT * FROM lineorder INNER JOIN part ON lo_partkey = p_partkey WHERE lo_orderkey > p_size;
Implement the having clause for Nereids Planner.
NOTE:
This PR aims at making Nereids Planner generate the correct logical plan and physical plan only. The runtime correctness is not the goal in this PR due to GROUP BY is not ready in Nereids Planner.
Added regression test of sub-queries. Currently only associated sub-queries are added. Non-associated sub-queries will be added after project revision.
Currently, nereids doesn't support aggregate function with no slot reference in query, since all the column would be pruned, e.g.
SELECT COUNT(1) FROM t;
This PR reserve the column with the smallest amount of data when doing column prune under this situation.
To be noticed, this PR ONLY handle aggregate functions. So projection with no slot reference need to be handled in future.
#11392 made _input_block in each BetaRowsetReaders sharable. However, for some types (e.g. nested array with more than 1 depth), the _column_vector_batches in RowBlockV2 can be nested which means that there is a ColumnVectorBatch inside another ColumnVectorBatch. In this case, the data of inner ColumnVectorBatch
may be corrupted because the data of _input_block is copied shallowly to the _output_block.
We can skip aggregate on replace column, otherwise it would generate
wrong result. e.g. a row in UNIQUE is deleted by delte_sign_column,
then it would be returned.
Add one expression rewrite rule:
rewrite InPredicate to an EqualTo Expression, if there exists exactly one element in InPredicate Options.
Examples:
1. where A in (x) ==> where A = x
2. where A not in (x) ==> where not A = x
* table function node enhancement
* also avoid copy for non-vec table function node
* fix table function node output slots calculation while lateral view involves subquery
Co-authored-by: cambyzju <zhuxiaoli01@baidu.com>
This API can help user to get all create table statement of a given SQL.
So that it will be easier to run the case in other Doris cluster.
See document for details
