* if column stats are unknown, do not use dphyp
tpcds query64 is optimized in case of no stats
sf500, query64 improved from 15sec to 7sec on hdfs, and from 4sec to 3.85sec on olaptable
In the previous logic, when we restored the Column in the predicate pushdown based on the logical syntax tree for JdbcScanNode, in order to avoid query errors caused by keywords such as `key`, we added escape characters for it, but before we only Binary predicates are processed, which is imperfect. We should add escape characters to all columns that appear in the predicate to avoid errors with keywords or illegal characters.
Followup #28890
Make HttpSqlConverterPlugin and AuditLoader as Doris' builtin plugin.
To make it simple for user to support sql dialect and using audit loader.
HttpSqlConverterPlugin
By default, there is nothing changed.
There is a new global variable sql_converter_service, default is empty, if set, the HttpSqlConverterPlugin will be enabled
set global sql_converter_service = "http://127.0.0.1:5001/api/v1/convert"
AuditLoader
By default, there is nothing changed.
There is a new global variable enable_audit_plugin, default is false, if set to true, the audit loader plugin will be enable.
Doris will create audit_log in __internal_schema when startup
If enable_audit_plugin is true, the audit load will be inserted into audit_log table.
3 other global variables related to this plugin:
audit_plugin_max_batch_interval_sec: The max interval for audit loader to insert a batch of audit log.
audit_plugin_max_batch_bytes: The max batch size for audit loader to insert a batch of audit log.
audit_plugin_max_sql_length: The max length of statement in audit log
estimate column stats for "cast(col, XXXType)"
-----cast-est------
query4 41169 40335 40267 40267
query58 463 361 401 361
Total cold run time: 41632 ms
Total hot run time: 40628 ms
----master------
query4 40624 40180 40299 40180
query58 487 389 420 389
Total cold run time: 41111 ms
Total hot run time: 40569 ms
When varchar literal contains chinese, the length of varchar should not be the length of the varchar, it should be
the actual length of the using byte.
Chinese is represented by unicode, a chinese char occypy 4 byte at mostly. So if meet chinese in varchar literal, we
set the length is 4* length.
for example as following:
> CREATE MATERIALIZED VIEW test_varchar_literal_mv
> BUILD IMMEDIATE REFRESH AUTO ON MANUAL
> DISTRIBUTED BY RANDOM BUCKETS 2
> PROPERTIES ('replication_num' = '1')
> AS
> select case when l_orderkey > 1 then "一二三四" else "五六七八" end as field_1 from lineitem;
mysql> desc test_varchar_literal_mv;
the def of materialized view is as following:
+---------+-------------+------+-------+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+---------+-------------+------+-------+---------+-------+
| field_1 | VARCHAR(16) | No | false | NULL | NONE |
+---------+-------------+------+-------+---------+-------+
Taking the Idea further from PR #24853 (#24853)
Column statistics already analyzed and available in HMS from spark, this PR proposes to reuse the analyzed stats from external source, when executed WITH SQL clause of analyze cooamd.
Spark analyzes and stores the statistics in Table properties instead of HiveColumnStatistics. In this PR, we try to get the statistics from these properties and make it available to Doris.
If there is no table that can be found, the task will cycle forever and no data will be loaded. To avoid invalid scheduled tasks, It is better to pause the job rather than run it.
The mysql type code mapped by the map type is 400, but 400 is an unknown type for mysql.
For the jdbc driver of mariadb, when querying through the http api of /api/query or using the jdbc driver of mariadb, an exception will occur.
For the jdbc driver of mysql, it will be converted into binary form, and the correct data can be read through the string type.
Therefore, the mysql custom type of map was removed and changed to string type, so that both the jdbc driver of mariadb and mysql can work normally.
Only root user can operate __internal_schema database
The scope of impact includes：
create database
drop database
alter database
create table
drop table
alter table
truncate table
insert overwrite
insert
delete
update
load(root also not allowed)
delete support check auth
Fix cte rewrite by mv wrongly when query has scalar aggregate but view no
For example as following, it should not be rewritten by materialized view successfully
// materialzied view define
def mv20_1 = """
select
l_shipmode,
l_shipinstruct,
sum(l_extendedprice),
count()
from lineitem
left join
orders on lineitem.L_ORDERKEY = orders.O_ORDERKEY
group by
l_shipmode,
l_shipinstruct;
"""
// query sql
def query20_1 =
"""
select
sum(l_extendedprice),
count()
from lineitem
left join
orders
on lineitem.L_ORDERKEY = orders.O_ORDERKEY
"""
Fix predicates compensation by mistake
For example as following, it can return right result, but it's wrong earlier.
// materialzied view define
def mv7_1 = """
select l_shipdate, o_orderdate, l_partkey, l_suppkey
from lineitem
left join orders
on lineitem.l_orderkey = orders.o_orderkey
where l_shipdate = '2023-12-08' and o_orderdate = '2023-12-08';
"""
// query sql
def query7_1 = """
select l_shipdate, o_orderdate, l_partkey, l_suppkey
from (select * from lineitem where l_shipdate = '2023-10-17' ) t1
left join orders
on t1.l_orderkey = orders.o_orderkey;
"""
and optimize some code usage and add more comment for method
Current union rf push down only support rf from parent join, but not support ancestor join.
The pr fixes this problem on project/distribute node's rf pushing down checking.
The merging of profiles requires ensuring the correctness of the profiles themselves. However, if merging is intended for troubleshooting correctness issues through profiles, errors may occur.
Moreover, the 'try-catch' does not catch exceptions related to profile merging. If merging fails, even the normal profile cannot be obtained.
