When we used the tool multi-fe to start multiple FEs cluster and loaded data by stream load way,
the request failed. See the following log.
The issue was caused by the netty libraries.
There are multiple netty libraries in classpath and the FE used the newer version netty library which made these errors.
This PR mainly changes:
When upgrading from old version to master, the ADMIN_PRIV for normal user may be lost.
This may only happen if:
Create a user with ADMIN_PRIV privilege.
Upgrade Doris to v1.2.x or master before the meta image which contains the edit log in step 1 is generate.
And the ADMIN_PRIV will be lost in Global Privileges
This PR will rectify this bug and set ADMIN_PRIV to the right place
Refactor the user's implicit role name
In [feature](auth)Implementing privilege management with rbac model #16091, we refactor the Doris auth model by introducing RBAC. And each user will have an implicit role,
named with prefix default_role_rbac_. But it has wrong format like:
default_role_rbac_'default_cluster:user1'@'%'
This PR change the role name's format, like:
default_role_rbac_user1@%
default_role_rbac_user2@[domain]
NOTICE: this change may cause incompatible metadata, but since [feature](auth)Implementing privilege management with rbac model #16091 is not released, we should fix it soon.
Add a new session variable show_user_default_role
When set to true, it will show implicit role of user in the result of show roles stmt. Default is false
this case missed
sql "ADMIN SET FRONTEND CONFIG ('enable_struct_type' = 'true');"
if enable_struct_type==false, the case will fail
Issue Number: close #xxx
This pr implements the list default partition referred in related #15507.
It's similar as GreenPlum's default's partition which would store all data not satisfying prior partition key's
constraints and optimizer wouldn't filter default partition which means default partition would be scanned
each time you try to select data from one table with default partition.
User could either create one table with default partition or alter add one default partition.
```sql
PARTITION LIST(key) {
PARTITION p1 values in (xx,xx),
PARTITION DEFAULT
}
ALTER TABLE XXX ADD PARTITION DEFAULT
```
We don't support automatically migrate data inside default partition which meets newly added partition key's
constraint to newly add partition when alter add new partition. User should select default partition using new
constraints as predicate and insert them to new partition.
```sql
insert into tbl select * from tbl partition default where partition_key=xx;
```
Consider the sql bellow:
select sum(cc.qlnm) as qlnm
FROM
outerjoin_A
left join (SELECT
outerjoin_B.b,
coalesce(outerjoin_C.c, 0) AS qlnm
FROM
outerjoin_B
inner JOIN outerjoin_C ON outerjoin_B.b = outerjoin_C.c
) cc on outerjoin_A.a = cc.b
group by outerjoin_A.a;
The coalesce(outerjoin_C.c, 0) was calculated in the agg node, which is wrong.
This pr correct this, and the expr is calculated in the inner join node now.
1. Organize http documents
2. Add http interface authentication for FE
3. Support https interface for FE
4. Provide authentication interface
5. Add http interface authentication for BE
6. Support https interface for BE
1. Organize http documents
2. Add http interface authentication for FE
3. Support https interface for FE
4. Provide authentication interface
5. Add http interface authentication for BE
6. Support https interface for BE
For add or drop inverted index, when replay the logModifyTableAddOrDropInvertedIndices will new a schema change job, that has a new CreateTime, here should new a schema change job when not replay log.
1. strdup(const char*) will copy a temporary char array.
2. std::string's copy construct will copy the temporary char array to std::string buffer.
3. finally the temporary char array will leak.
Add hint NTH_OPTIMIZED_PLAN to let the optimzier can select n-th optimized plan. For example, you could use,
select /*+SET_VAR("nth_optimized_plan"=2) */ * from table;
to select the second-best plan in the optimizer.
BloomFilter in MoW table may consume lots of memory, and it's life cycle is same as segment. This patch try to improve the efficiency of recycling segment cache, to release the memory in time.
Support to decode nested array column in parquet reader:
1. FE should generate the right nested column type. FE doesn't check the nesting depth and legality, like map\<array\<int\>, int\>.
2. `ParquetColumnReader` has removed the filtering of page index to support nested array type.
It's too difficult to skip values in nested complex types. Maybe we should support the filtering of page index and lazy read in later PR.
3. `ExternalFileScanNode` has a bug in creating default value expression.
4. Maybe it's slow to read repetition levels in a while loop. I'll optimize this in next PR.
5. Array column has temporary `SchemaElement` in its thrift definition,
we have removed them and keep its parent in former implementation.
The remaining parent should inherit the repetition and definition level of its child.
Improve performance of parquet reader filter calculation.
- Use `filter_data` instead of `(*filter_ptr)` to merge filter to improve performance.
- Use mutable column filter func instead of original new column filter func which introduced by #16850.
- Avoid column ref-count increasing which caused unnecessary copying by passing column pointer ref.
This pr do two things:
1. fix:
It use `column[0]` to judge class type in JdbcExecutor, but column[0] may be null !
2. Enhencement
In the original logic, all fields in jdbc catalog table will be set Nullable.
However, it is inefficient for nullable fields. Actually, we can know if the fields in data source table
is nullable through jdbc. So we can set the corresponding fields in Doris jdbc catalog to nullable or not.
The LoadScanProvider doesn't get Hidden Columns from stream load parameter.
This may cause stream load delete operation fail. This pr is to pass the hidden columns to LoadScanProvider.
sub_bitmap return type should be ALWAYS_NULLABLE, not depend on children.
For example
sub_bitmap(bitmap_empty(), 1, 2) return NULL, but all children are not null.