extract slot and literal in comparison predicate. infer new one by equals predicates.
use TypeCoercion to add cast on new comparison predicate to ensure it is correct.
This reverts "[Fix](Nereids) Add cast comparison with slot reference when inferring predicate (#21171)"
commit 58f2593ba1b65713e7b3c1ed39fc84be8cc3ff2c.
Problem:
When join estimation, upper join output slot statistic ndv would go wrong
Example:
we have two table:
tableA (a1[ndv = 10.0]) tableB(b1[ndv = 0.0], b2[ndv = 10.0])
tableA left join tableB on A.a1 = B.b1. which B.b1 with ndv zero.
the problem is after join estimation, B.b2 changed to 1.0.
Reason:
When estimating outer join, we can assume it behave like inner join. But we estimation then like inner join do
Solved:
When estimation outer join, output slot would update seperatly.
When executing create partitioned table with Nereids, and replication_num property is not set,
the replication number will be 0, so the tablet will has no replica.
The snapshot info uploaded to S3 obj system by backup job is a json file, which is useful for us to get information about this snapshot.
If we add version info to the JSON file, we can know what version of the cluster used to manufacture this snapshot was, in order to prevent restoring the newer version of the snapshot to the older version of the cluster.
The following info has been added:
```
"major_version": 1,
"minor_version": 2,
"patch_version": 6
```
notice: this PR have change the fe meta version.
the nullable mode of udf-function is important,
if not write to info, it's will be loss after restart.
1. To avoid misleading of inaccurate min max stats, set the stats value to NULL while using sample to collect stats.
2. Fix NDV_SAMPLE_TEMPLATE typo, it shouldn't contain row count related contents.
For comparison predicate, two arguments must be cast to datetime and push down to storage if either one is date type. This PR disables predicate push-down for this case.
Support aggregate functions in select without from clause, here are some examples as following:
SELECT 1,
'a',
COUNT(),
SUM(1) + 1,
AVG(2) / COUNT(),
MAX(3),
MIN(4),
RANK() OVER() AS w_rank,
DENSE_RANK() OVER() AS w_dense_rank,
ROW_NUMBER() OVER() AS w_row_number,
SUM(5) OVER() AS w_sum,
AVG(6) OVER() AS w_avg,
COUNT() OVER() AS w_count,
MAX(7) OVER() AS w_max,
MIN(8) OVER() AS w_min;
1. add checks and handling of sequence column in #21896 to insert statement in origin planner and Nereids planner.
2. disable drop sequence mapping column in schema change.
