Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[feature][executor]support query schedule policy #28443

Merged
merged 3 commits into from
Dec 19, 2023

Conversation

wangbo
Copy link
Contributor

@wangbo wangbo commented Dec 15, 2023

support query schedule policy

create workload schedule policy test_cancel_policy
conditions(query_time > 10)
actions(cancel_query)

create workload schedule policy move_action_policy
conditions(username="root")
actions(move_query_to_group "normal")

create workload schedule policy set_action_policy
conditions(query_time > 10, username="root")
actions(set_session_variable "parallel_fragment_exec_instance_num=6")

create workload schedule policy full_action_policy
conditions(query_time > 10, username="root")
actions(set_session_variable "parallel_fragment_exec_instance_num=6")
properties(
"enabled" = "false",
"priority"="10"
)

alter workload schedule policy test_policy1033 ("enabled"="false");
drop workload schedule policy test_policy1033;

show workload schedule policy;

@wangbo wangbo marked this pull request as draft December 15, 2023 03:05
}
}

public static CancelQueryAction createCancelQueryAction() {
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Java 里一般不这么写,如果需要类似工厂的模式,都会写一个单独的factory class

Copy link
Contributor Author

@wangbo wangbo Dec 15, 2023

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

那个感觉加的类太多了,这个时候还得是一个if else写起来比较快。而且有了工厂模式也还是得有个根据conditionname去判断取哪个factory的过程


package org.apache.doris.resource.workloadschedpolicy;

public class CancelQueryAction implements PolicyAction {
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

所有的类命名前面加前缀 Workload, 要不我们的名字太通用了,容易重名

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

👌🏻


package org.apache.doris.resource.workloadschedpolicy;

public enum PolicyMetricType {
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

这个metric type,不能是一个enum,它得是一个class,我们要为一个MetricType 定义很多属性,比如:

  1. 他的类型
  2. 他起作用的阶段,比如是query 刚发来就做,【username 匹配这种就是】,query logical plan 解析完, physical plan 生成了
  3. 未来可能还有别的

import org.apache.doris.common.UserException;


public interface PolicyCondition {
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

WorkloadSchedulerTriggerCondition

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

WorkloadSchedCondition,要不还是简写吧,这也太长了

// return false,
// 1 metric not match
// 2 condition value not match query info's value
boolean isMatch(PolicyQueryInfo queryInfo) {
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

这里面需要多加一个参数, QueryStage 我们不会一下子匹配所有的condition,得分阶段匹配一个scheduler 下的condition。

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

policy本身是分fe和be的,所以你说的这个我感觉应该是在定时线程调用里区分比较好。比如fe的定时线程就只取fe的policy。目前由于缺乏统一的统计信息收集渠道,所以暂不支持混合型的policy,这个得很靠后了。后续再改就行。

Copy link
Contributor

clang-tidy review says "All clean, LGTM! 👍"

public static int workload_sched_policy_interval_ms = 10000; // 10s

@ConfField(mutable = true)
public static int workload_move_action_interval_ms = 10000; // 10s
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

这种的就不要放config了,否则以后越来越多的策略,每个策略都搞一个config就崩溃了。
可能得把这个时间放到action的定义上。

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

所有需要通知be的action收敛到一个线程,然后用一个间隔吧

import org.apache.doris.qe.ShowResultSetMetaData;
import org.apache.doris.resource.workloadschedpolicy.WorkloadSchedPolicyMgr;

public class ShowWorkloadSchedPolicyStmt extends ShowStmt {
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

这个感觉可以没有,我们走tvf 系统表的思路比较好

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

这个目前临时调试用的比较快。tvf表的展示可能得再想想,因为是一个policy对应多个condition和action,而condition和action的个数可能不同,要是弄一个表里可能得弄个字符串拼接了。不过弄成两个tvf表的话,查着又比较复杂

import java.util.List;
import java.util.concurrent.ExecutorService;

public class WorkloadMoveActionPublisherThread extends Daemon {
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

这个不能每个action 搞一个publisher thread。
这个直接走过去的workload group的publish 过程就可以了,不要单独搞thread了。

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

独立线程主要考虑是两点,第一个是action的数量不会太多。第二个是,publishworkload group的那个线程比较特殊,那个只能master启动,而action这个是每个fe都要起的。其次线程活跃的间隔也不同,moveaction的间隔肯定是越短越好。当然这里可以考虑的设计是,所有action用一个线程

Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

那我觉得 也不能move action 启动一个thread,每个action 都搞一个trhead 太废了,然后别人想写workload group的代码也很费劲。

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

那就所有action一个线程呗

throws UserException {
if (WorkloadActionType.cancel_query.toString().equals(actionCmd)) {
return WorkloadActionCancelQuery.createWorkloadAction();
} else if (WorkloadActionType.move_query_to_group.toString().equals(actionCmd)) {
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

这里不要to string 比较, 要把createWorkloadAction 的第一个参数输入变成 enum,在解析阶段就做,不要把string 带到非常靠后的流程处理。

// NOTE(wb) currently createPolicyCondition is also used when replay meta, it better not contains heavy check
static WorkloadCondition createWorkloadCondition(String metricName, String op, String value)
throws UserException {
if (WorkloadMetricType.username.toString().equals(metricName)) {
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

这里也是,不要tostring 比较


@Override
public WorkloadMetricType getMetricType() {
return WorkloadMetricType.query_time;
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

java 里的枚举一般都是全部大写字母

@@ -506,6 +509,8 @@ public class Env {

private TopicPublisherThread topicPublisherThread;

private WorkloadActionPublishThread workloadMoveActionPublisherThread;
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

workloadMoveActionPublisherThread --》 workloadActionPublishThread

Copy link
Contributor

clang-tidy review says "All clean, LGTM! 👍"

if (value == null) {
return false; // query info's metric must match all condition's metric
}
ret = ret & condition.eval(value);
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

if (!condition.eval(value)) return false;

throw new UserException(
"can not find workload group " + actionArgs + " when set workload sched policy");
}
workloadActionMeta.actionArgs = wgId.toString();
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

如果,你再这里改了,那么show policy的时候是不是看到的就是id了? 此时用户是不是就看不懂了?

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

这个tvf的时候处理下就行了,目前的show主要是用于调试的

TPublishTopicRequest request = new TPublishTopicRequest();
request.setTopicMap(actionMap);
for (Backend be : currentBeToPublish) {
executor.submit(new WorkloadMoveActionTask(request, be, handler));
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

这里设计成批量的接口吧,一个个的publish 太慢了,可能rpc 交互太多

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

这里其实已经是批量了,每10s一次拿所有的topicinfo,构造一个rpcrequest,然后发送给所有be。也就是每次轮询发送rpc的个数就是be的个数

@wangbo wangbo marked this pull request as ready for review December 19, 2023 07:47
@wangbo
Copy link
Contributor Author

wangbo commented Dec 19, 2023

run buildall

Copy link
Contributor

clang-tidy review says "All clean, LGTM! 👍"

Copy link
Contributor

@yiguolei yiguolei left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

@github-actions github-actions bot added the approved Indicates a PR has been approved by one committer. label Dec 19, 2023
Copy link
Contributor

PR approved by at least one committer and no changes requested.

Copy link
Contributor

PR approved by anyone and no changes requested.

@wangbo wangbo changed the title [feature][execturo]support query schedule policy [feature][executor]support query schedule policy Dec 19, 2023
@doris-robot
Copy link

(From new machine)TeamCity pipeline, clickbench performance test result:
the sum of best hot time: 43.95 seconds
stream load tsv: 563 seconds loaded 74807831229 Bytes, about 126 MB/s
stream load json: 19 seconds loaded 2358488459 Bytes, about 118 MB/s
stream load orc: 66 seconds loaded 1101869774 Bytes, about 15 MB/s
stream load parquet: 32 seconds loaded 861443392 Bytes, about 25 MB/s
insert into select: 28.9 seconds inserted 10000000 Rows, about 346K ops/s
storage size: 17184034761 Bytes

Copy link
Contributor

@xinyiZzz xinyiZzz left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

@wangbo wangbo merged commit 71b7dcf into apache:master Dec 19, 2023
25 of 31 checks passed
@doris-robot
Copy link

TPC-H test result on machine: 'aliyun_ecs.c7a.8xlarge_32C64G'
Tpch sf100 test result on commit 65f9e0cb5bb152608d1685a941d60004dec9cba2, data reload: false

run tpch-sf100 query with default conf and session variables
q1	4679	4429	4451	4429
q2	359	153	199	153
q3	1467	1287	1196	1196
q4	1118	914	914	914
q5	3173	3171	3176	3171
q6	246	128	126	126
q7	997	497	483	483
q8	2204	2223	2203	2203
q9	6682	6683	6687	6683
q10	3218	3281	3282	3281
q11	303	187	181	181
q12	350	204	205	204
q13	4559	3839	3856	3839
q14	240	210	217	210
q15	568	516	536	516
q16	445	381	382	381
q17	998	683	538	538
q18	7271	7011	7082	7011
q19	1541	1481	1351	1351
q20	562	324	308	308
q21	3030	2678	2728	2678
q22	354	286	280	280
Total cold run time: 44364 ms
Total hot run time: 40136 ms

run tpch-sf100 query with default conf and set session variable runtime_filter_mode=off
q1	4377	4360	4386	4360
q2	273	162	167	162
q3	3530	3527	3537	3527
q4	2400	2384	2377	2377
q5	5731	5758	5760	5758
q6	240	121	122	121
q7	2403	1876	1856	1856
q8	3536	3523	3547	3523
q9	9127	9022	9019	9019
q10	3930	4014	4007	4007
q11	496	366	365	365
q12	760	609	611	609
q13	4286	3596	3563	3563
q14	281	256	253	253
q15	571	528	524	524
q16	500	461	472	461
q17	1889	1869	1862	1862
q18	8899	8255	8367	8255
q19	1751	1754	1793	1754
q20	2262	1942	1936	1936
q21	6544	6183	6265	6183
q22	516	419	424	419
Total cold run time: 64302 ms
Total hot run time: 60894 ms

CalvinKirs added a commit to CalvinKirs/incubator-doris that referenced this pull request Dec 27, 2023
* [Performance](point query)Opimize partition prune for point query (apache#28150)

* [Performance](point query)Opimize partition prune for point query

* [fix](stacktrace) ignore stacktrace for error code INVALID_ARGUMENT INVERTED_INDEX_NOT_IMPLEMENTED (apache#27898) (apache#28598)

* ignore stacktrace for error INVALID_ARGUMENT INVERTED_INDEX_NOT_IMPLEMENTED

* AndBlockColumnPredicate::evaluate

* [bugfix](topn) fix coredump in copy_column_data_to_block when nullable mismatch (apache#28597)

* [bugfix](topn) fix coredump in copy_column_data_to_block when nullable mismatch

return RuntimeError if copy_column_data_to_block nullable mismatch to avoid coredump in input_col_ptr->filter_by_selector(sel_rowid_idx, select_size, raw_res_ptr) .

The problem is reported by a doris user but I can not reproduce it, so there is no testcase added currently.

* clang format

* [feature](Nereids): eliminate semi join (apache#28588)

Eliminate Semi/Anti Join which is FALSE or TRUE.

* [feature](Nereids) support datev1 and datetimev1 (apache#28581)

* [improvement](http) add show_table_data http api (apache#28380)

In some cases, users need to get the data size of single replica of a table, and evaluate certain actions based on this, such as estimating the precise backup size.

Signed-off-by: nextdreamblue <zxw520blue1@163.com>

* [Enhance](regression)enhance jdbc case to adapt to use case concurrency (apache#28565)

enhance jdbc case to adapt to use case concurrency

* [opt](Nereids)when both Nereids and old parsers report errors, prompt error messages for the Nereids (apache#28580)

* [Improvement](regression) change compound predicate regression case name to make it more clear (apache#28612)

* [regression](memtable) add case for memtable flush error handle (apache#28285)

Co-authored-by: ziyang zhang <zhangziyang@stu.cdut.edu.cn>

* [regression-test](memtable)  test memtable flush is high priority for vtable writerV1 (apache#28502)

* enhance performance for broken tablet checking under multi-core scenario with a coarse-grained read lock (apache#28552)

* [fix](load) fix memtracking orphan too large (apache#28600)

* [fix](memtable-limiter) do not block write if load mem usage is low (apache#28602)


Co-authored-by: Yongqiang YANG <98214048+dataroaring@users.noreply.github.com>

* [refactor](renamefile) rename some files according to the class names (apache#28606)

* [feature](mtmv)create mtmv support refresh_partition_num (apache#28566)

- create/alter mtmv support refresh_partition_num
- mtmv task according to refresh_partition_num executes refresh tasks in batches
- `tasks` tvf add column `CompletedPartitions` and `progress`
- fix mtmv can not `show temp partition` and `drop temp partition`
- fix task can not get error msg when insert overwrite error
- fix when the partition field is capitalized, the verification of creating a mtmv does not pass

* [fix](Nereids) stats estimation of lessThan apache#28444

* [fix](regression)Change analyze_timeout to global.  (apache#28587)

Fix hive statistics regression case. analyze_timeout is a global session variable.

* [chore] Add bvar for meta operations of BE (apache#28374)

* [Bug](cooldown) Fix problem that followers may never completely cooldown (apache#28561)

* [Improve](tvf)jni-avro support split file (apache#27933)

* [feature](mtmv)after creating a materialized view, if other operations fail, roll back  (apache#28621)

after create mtmv, if create job failed,need drop mtmv

* [fix](meta) update killed query state (#) (apache#25917)

* [refactor](profile&names) using dst_id in pipelinex profile to be same as non pipeline; rename some function names (apache#28626)

Co-authored-by: yiguolei <yiguolei@gmail.com>

* [feature][executor]support workload schedule policy (apache#28443)

* [feature](expr) Support kill query by query_id (apache#28530)

Issue Number: open apache#28517

* [chore](user) Add user property `parallel_fragment_exec_instance_num` (apache#28447)

* [feature](inverted index) add ignore_above property to prevent long s… (apache#28585)

When string is too long, clucene will throw an error. 
And the string is too long to analyze. So we ignore the string in index process when the string is longer than 256 bytes by default.
We add an poperty `ignore_above` for user to customize.

* [Enhance](broker) add inputstream expire scheduled checker to avoid memory leak for broker scan (apache#28589)

This pr introduces 2 broker conf:

1. enable_input_stream_expire_check: which indicates whether enable inputStream expire check.
2. input_stream_expire_seconds: which indicates the timeout seconds for inputStream since last update.

* [fix](hive) add support for `quoteChar` and `seperatorChar` for hive (apache#28613)

add support for quoteChar and seperatorChar .

* [Fix](transactional-hive) Fix hive transactional table return empty result. (apache#28518)

* [Fix](memtable) fix `shrink_memtable_by_agg` without duplicated keys (apache#28660)

remove duplicated logic:
```
vectorized::Block in_block = _input_mutable_block.to_block();
_put_into_output(in_block);
```
`_input_mutable_block.to_block()` will move `_input_mutable_block`, and lead to `flush` with empty block

* [enhance](partition_id) check partition id before store meta (apache#28055)

* [opt](task-assignment) use consistent hash as default task assigner and cache the consistent hash ring (apache#28522)

1. Use consistent hash algo as the default assigner for file query scan node
    A consistent assignment can better utilize the page cache of BE node.

2. Cache the consistent hash ring
    Init a consistent hash ring is time-consuming because there a thousands of virtual node need to be added.
    So cache it for better performance

* [Fix](Job)Fixed job scheduling missing certain time window schedules (apache#28659)

Since scheduling itself consumes a certain amount of time, the start time of the time window should not be the current time, but the end time of the last schedule.

* [fix](test) fix ccr test cases (apache#28664)

* [fix](regression) fix test_set_replica_status due to force_olap_table_replication_num=3 (apache#28573)

* [fix](regression) restore reserve num replicas (apache#28541)

* [fix](regression) fix test_alter_colocate_table due to force_olap_table_replication_num=3 (apache#28575)

* [improvement](transaction) reduce publish txn log (apache#28277)

* [fix](stream_load)fix bug for stream (apache#27752)

1. forbid thed  stream_load without content-length or chunked Transfer Encoding
2. forbid thed  stream_load both with content-length and chunked Transfer Encoding

Co-authored-by: xingying01 <xingying01@corp.netease.com>

* [Revert](partial update) Revert "Fix missing rowsets during doing alignment when flushing memtable due to compaction (apache#28062)" (apache#28674)

This reverts commit 485d7db.

* [feat](Nereids) support outer join and aggregate bitmap rewrite by mv (apache#28596)

- Support left outer join rewrite by materialized view
- Support bitmap_union roll up to imp count(distinct)
- Support partition materialized view rewrite

* [refactor](runtimefilter) do not use QueryContext in runtime filter (apache#28559)

* [fix](planner)should bind expr using no slot to correct tuple (apache#28656)

* [fix](planner) ctas update datev1 to datev2 should use equals (apache#28641)

* [fix](Nereids) should only do bind relation in view analyzer (apache#28637)

* [code](pipelineX) refine some pipelineX code  (apache#28570)

* [fix](partial update) report error directly if missing rowsets during doing alignment when flushing memtable due to compaction  (apache#28677)

* [opt](inverted index) Add null document interface to optimize empty string indexing (apache#28661)

* [feature](invert index) match_regexp feature added (apache#28257)

* [Feature](datatype) update be ut codes and fix bugs for IPv4/v6 (apache#28670)

* [test](Nereids): remove shape plan project and distribute in eager test (apache#28701)

* [fix](statistics)Fix drop stats fail silently bug. (apache#28635)

Drop stats use IN predicate to filter the column stats to delete. The default length of IN predicate is 1024, drop table stats with more than 1024 columns may fail.
This pr is to split the delete sql based on the IN predicate length.

* [fix](mtmv) fix insert overwrite getExecTimeout error (apache#28700)

should use InsertTimeout but QueryTimeout

* [Enhancement](auto-partition) change the behaviour when insert overwrite an auto partition table apache#28683

If we specific target partition(s) when inserting overwrite an auto partition table,
before:
could create new partition
now:
behalf just like non-auto partition table

* [FIX](regresstest) fix case with double value apache#28668

double value in case has 27 figures after the point, which will make not standable output

* [test](Nereids): add test for scalar agg (apache#28712)

* [fix](meta_scanner) fix meta_scanner process ColumnNullable (apache#28711)

* [fix](nereids) Fix data wrong using mv rewrite and ignore case when getting mv related partition table (apache#28699)

1. Fix data wrong using mv rewrite
2. Ignore case when getting mv related partition table
3. Enable infer expression column name without alias when create mv

* [test](regression-test) order by decs should only make effect on its nearest column apache#28728

* [refine](pipelineX)Make the 'set ready' logic of SenderQueue in pipelineX the same as that in the pipeline (apache#28488)

* [fix](Nereids) delete partition failed (apache#28717)

1. parser's partitionSpec changed unexpectly by PR apache#26492
2. delete without using should support un-equals expression

* [fix](tvf)Fixed the avro-scanner projection pushdown failing to query on multiple BEs (apache#28709)

* [fix](block) fix nullptr in MutableBlock::allocated_bytes (apache#28738)

* [fix](mtmv)fix thread local reference to checkpoint's Env, causing Env to be unable to be reclaimed, resulting in excessive memory usage by FE (apache#28723)

when replay addTaskResult log,will create one ConnectContext,and set Env.getCurrentEnv,then store this ctx in ConnectContext.threadLocalInfo,threadLocalInfo is static,so this ctx can not be recycling,Env of replay thread also can not be recycling

* [Fix](json reader) fix json reader crash due to `fmt::format_to` (apache#28737)

```
4# __gnu_cxx::__verbose_terminate_handler() [clone .cold] at ../../../../libstdc++-v3/libsupc++/vterminate.cc:75
5# __cxxabiv1::__terminate(void (*)()) at ../../../../libstdc++-v3/libsupc++/eh_terminate.cc:48
6# 0x00005622F33D22B1 in /mnt/ssd01/pipline/OpenSourceDoris/clusterEnv/P0/Cluster0/be/lib/doris_be
7# 0x00005622F33D2404 in /mnt/ssd01/pipline/OpenSourceDoris/clusterEnv/P0/Cluster0/be/lib/doris_be
8# fmt::v7::detail::error_handler::on_error(char const*) in /mnt/ssd01/pipline/OpenSourceDoris/clusterEnv/P0/Cluster0/be/lib/doris_be
9# char const* fmt::v7::detail::parse_replacement_field<char, fmt::v7::detail::format_handler<fmt::v7::detail::buffer_appender<char>, char, fmt::v7::basic_format_context<fmt::v7::detail::buffer_appender<char>, char> >&>(char const*, char const*, fmt::v7::detail::format_handler<fmt::v7::detail::buffer_appender<char>, char, fmt::v7::basic_format_context<fmt::v7::detail::buffer_appender<char>, char> >&) in /mnt/ssd01/pipline/OpenSourceDoris/clusterEnv/P0/Cluster0/be/lib/doris_be
10# void fmt::v7::detail::vformat_to<char>(fmt::v7::detail::buffer<char>&, fmt::v7::basic_string_view<char>, fmt::v7::basic_format_args<fmt::v7::basic_format_context<fmt::v7::detail::buffer_appender<fmt::v7::type_identity<char>::type>, fmt::v7::type_identity<char>::type> >, fmt::v7::detail::locale_ref) in /mnt/ssd01/pipline/OpenSourceDoris/clusterEnv/P0/Cluster0/be/lib/doris_be
11# doris::vectorized::NewJsonReader::_append_error_msg(rapidjson::GenericValue<rapidjson::UTF8<char>, rapidjson::MemoryPoolAllocator<rapidjson::CrtAllocator> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, bool*) at /root/doris/be/src/vec/exec/format/json/new_json_reader.cpp:924
12# doris::vectorized::NewJsonReader::_set_column_value
```

* [bug](coredump) Fix coredump in aggregation node's destruction(apache#28684)

fix coredump in aggregation node's destruction

* [pipelineX](improvement) Support global runtime filter (apache#28692)

* [FIX](explode)fix explode array decimal (apache#28744)

* fix explode with array<decimal> has specific precision at old planner

* [refactor](broadcastbuffer) using a queue to remove ref and unref codes (apache#28698)

Co-authored-by: yiguolei <yiguolei@gmail.com>Add a new class broadcastbufferholderqueue to manage holders
Using shared ptr to manage holders, not use ref and unref, it is too difficult to maintain.

* [enhance](blacklist) seperate blacklist conf from heartbeat (apache#28638)

There is a circuit breaker lasting for 2 minutes in grpc, then if a be is down and up again, send fragments to the be fails lasting for 2 minutes.

* [fix](stmt):fix CreateTableStmt toSql placed comment in wrong place (apache#27504)

Issue Number: close apache#27474
Co-authored-by: tongyang.han <tongyang.han@jiduauto.com>

* [Improve](compile) add `__AVX2__` macro for JsonbParser (apache#28754)

* [Improve](compile) add `__AVX2__` macro for JsonbParser

* throw exception instead of CHECK

* [Feature](materialized-view) support match logicalAggregate(logicalProject(logicalFilter(logicalOlapScan())) without agg (apache#28747)

support match logicalAggregate(logicalProject(logicalFilter(logicalOlapScan())) without agg

* [Fix] (schema change) forbid adding time type column (apache#28751)

* [fix](group_commit) fix group commit cancel stuck (apache#28749)

* [fix](scanner) fix concurrency bugs when scanner is stopped or finished (apache#28650)

`ScannerContext` will schedule scanners even after stopped, and confused with `_is_finished` and `_should_stop`.
 Only Fix the concurrency bugs when scanner is stopped or finished reported in apache#28384

* [fix](regression) fix stream load properties case fail (apache#28680)

* [fix](fe ut) fix PropertyConverterTest (apache#28722)

* [improve](rpc) Log channel state before shutdown backend service client (apache#28667)

* [fix](publish version) fix publish fail but return ok (apache#28425)

* [test](Nereids): remove shape plan project and distribute in eager test (apache#28724)

* [refactor](nereids) make NormalizeAggregate rule more clear and readable (apache#28607)

* [FIX](type) fix matchExactType for complex type (apache#28233)

fe matchExactType function should call type.matchTypes for its own logic, do not switch case to do special logic otherwise we may meet core in be like this.
 ```
F20231208 18:54:39.359673 680131 block.h:535] Check failed: _data_types[i]->is_nullable()  target type: Struct(l_info:Nullable(Array(Nullable(String)))) src type: Struct(col:Nullable(Array(Nullable(UInt8))))
*** Check failure stack trace: ***
    @     0x5584e952b926  google::LogMessage::SendToLog()
    @     0x5584e9527ef0  google::LogMessage::Flush()
    @     0x5584e952c169  google::LogMessageFatal::~LogMessageFatal()
    @     0x5584cf17201e  doris::vectorized::MutableBlock::merge_impl<>()
    @     0x5584ceac4b1d  doris::vectorized::MutableBlock::merge<>()
    @     0x5584d4dd7de3  doris::vectorized::VUnionNode::get_next_const()
    @     0x5584d4dd9a45  doris::vectorized::VUnionNode::get_next()
    @     0x5584bce469bd  std::__invoke_impl<>()
    @     0x5584bce466d0  std::__invoke<>()
    @     0x5584bce465c7  _ZNSt5_BindIFMN5doris8ExecNodeEFNS0_6StatusEPNS0_12RuntimeStateEPNS0_10vectorized5BlockEPbEPS1_St12_PlaceholderILi1EESC_ILi2EESC_ILi3EEEE6__callIS2_JOS4_OS7_OS8_EJLm0ELm1ELm2ELm3EEEET_OSt5tupleIJDpT0_EESt12_Index_tupleIJXspT1_EEE
    @     0x5584bce46358  std::_Bind<>::operator()<>()
    @     0x5584bce46208  std::__invoke_impl<>()
    @     0x5584bce46178  _ZSt10__invoke_rIN5doris6StatusERSt5_BindIFMNS0_8ExecNodeEFS1_PNS0_12RuntimeStateEPNS0_10vectorized5BlockEPbEPS3_St12_PlaceholderILi1EESD_ILi2EESD_ILi3EEEEJS5_S8_S9_EENSt9enable_ifIX16is_invocable_r_vIT_T0_DpT1_EESL_E4typeEOSM_DpOSN_
    @     0x5584bce45c18  std::_Function_handler<>::_M_invoke()
    @     0x5584bce6412f  std::function<>::operator()()
    @     0x5584bce56382  doris::ExecNode::get_next_after_projects()
    @     0x5584bce26218  doris::PlanFragmentExecutor::get_vectorized_internal()
    @     0x5584bce2431b  doris::PlanFragmentExecutor::open_vectorized_internal()
    @     0x5584bce22a96  doris::PlanFragmentExecutor::open()
    @     0x5584bce27c9d  doris::PlanFragmentExecutor::execute()
    @     0x5584bcbdb3f8  doris::FragmentMgr::_exec_actual()
    @     0x5584bcbf982f  doris::FragmentMgr::exec_plan_fragment()::$_0::operator()()
    @     0x5584bcbf9715  std::__invoke_impl<>()
    @     0x5584bcbf96b5  _ZSt10__invoke_rIvRZN5doris11FragmentMgr18exec_plan_fragmentERKNS0_23TExecPlanFragmentParamsERKSt8functionIFvPNS0_12RuntimeStateEPNS0_6StatusEEEE3$_0JEENSt9enable_ifIX16is_invocable_r_vIT_T0_DpT1_EESH_E4typeEOSI_DpOSJ_
    @     0x5584bcbf942d  std::_Function_handler<>::_M_invoke()
    @     0x5584b9dfd883  std::function<>::operator()()
    @     0x5584bd6e3929  doris::FunctionRunnable::run()
    @     0x5584bd6cf8ce  doris::ThreadPool::dispatch_thread()
```

* [test](Nereids): add assert debug log for TopnToMaxTest (apache#28755)

* [improve](move-memtable) limit task num in load stream flush token (apache#28748)

* [feature](Nereids) elimite inner join by foreign key (apache#28486)

* [enhancement](backup/restore) support alter s3 repo info about ak/sk/token (apache#27027)

in some cases:

s3.session_token/AWS_TOKEN will be expired after hours, and may be upload snapshot job will failed if data is big large;
as same reason, repo will be expired too when RepositoryMgr exec repo ping
so it need support alter s3 repo properties about ak/sk/token and update upload snapshot job properties to continue backup.

Signed-off-by: nextdreamblue <zxw520blue1@163.com>

* [improve](transaction) extend abort transaction time (apache#28662)

* [regression](p2) fix test cases result (apache#28768)

regression-test/data/external_table_p2/hive/test_hive_hudi.out
regression-test/data/external_table_p2/hive/test_hive_to_array.out
regression-test/suites/external_table_p2/tvf/test_local_tvf_compression.groovy
regression-test/suites/external_table_p2/tvf/test_path_partition_keys.groovy
regression-test/data/external_table_p2/hive/test_hive_text_complex_type.out

* (fix)[meta][export] fix replay export NPE issue (apache#28752)

The ConnectionContext does not exist in replay thread

* [Bug fix][metrics] correct fe collector type for jvm_gc (apache#28784)

Co-authored-by: 胥剑旭 <xujianxu@xujianxudeMacBook-Pro.local>

* [Chore](decimal) set check_overflow_for_decimal to true when alter table(apache#28777)

set check_overflow_for_decimal to true when alter table

* [pipelineX](fix) Fix TPCH Q2 (apache#28783)

* (topN)runtime_predicate is only triggered when the column name is obtained (apache#28419)

Issue Number: close apache#27485

* [fix](planner)fix bug of bound conjunct to wrong tuple (apache#28811)

this fix bug introduced by apache#28656

* [bug](pipelineX) Fix pipelineX bug on multiple BE (apache#28792)

* [opt](inverted index) ignore_above only affects untokenized strings (apache#28819)

* [improve](load) reduce lock scope in MemTableWriter active consumption (apache#28790)

* [opt](Nereids) improve Shape check cases (apache#28124)

* tmplate update
* log tpcds stats when check shape

* [fix](group commit)Fix the issue of duplicate addition of wal path when encouter exception (apache#28691)

* [fix](compaction) compaction should catch exception when vertical block reader read next block (apache#28625)

* [fix](Nereids) join order is not right after sql parsing (apache#28721)

for sql
```
t1, t2 join t3
```

we should generate plan like:
```
t1 join (t2 join t3)
```

but we generate:
```
(t1 join t2) join t3
```
to follow legancy planner.

* [fix](metrics) fix bvar memtable_input_block_allocated_size (apache#28725)

* [enhancement](audit-log) add status code and error msg to audit log for proxy stmt (apache#27607)

* [improvement](external catalog)Change log level to debug for getRowCountFromExternalSource. (apache#28801)

* [fix](partial update) only report error when in strict mode partial update when finding missing rowsets during flushing memtable (apache#28764)

related pr: apache#28062, apache#28674, apache#28677
fix apache#28677

* [fix](function) Fix from_second functions overflow and wrong result (apache#28685)

* [Enhancement](load) Limit the number of incorrect data drops and add documents (apache#27727)

In the load process, if there are problems with the original data, we will store the error data in an error_log file on the disk for subsequent debugging. However, if there are many error data, it will occupy a lot of disk space. Now we want to limit the number of error data that is saved to the disk.

Be familiar with the usage of doris' import function and internal implementation process
Add a new be configuration item load_error_log_limit_bytes = default value 200MB
Use the newly added threshold to limit the amount of data that RuntimeState::append_error_msg_to_file writes to disk
Write regression cases for testing and verification

Co-authored-by: xy720 <22125576+xy720@users.noreply.github.com>

* [test](partial update) add complex type regression cases for partial update (apache#28758)

NOTE: There's some issue for MAP type to work with row store, so in this PR we don't have cases for MAP type
Will add the support for MAP type in future.

* [fix](test)fix test_create_table test case for nereids (apache#28693)

* [improve](config) set mutable and masterOnly in FE config stream_load_default_memtable_on_sink_node (apache#28835)

* [fix](group-commit) check if wal need recovery is abnormal (apache#28769)

* [Fix](Variant) fix variant predicate rewrite OrToIn with wrong plan (apache#28695)

using the name without paths info will lead to wrong In plan, e.g.
```
where cast(v:a as text) = 'hello' or cast(v:b as text) = 'world'
```
will be rewrite to:
```
where cast(v as text) in ('hello', 'world')
``
This is wrong, because they are different slots

* [refactor](buffer) remove download buffer since it is no longer useful (apache#28832)

remove download buffer since it is no longer useful

* [Feature](Variant) Implement variant new sub column access method (apache#28484)

* [Feature](Variant) Implement variant new sub column access method

The query SELECT v["a"]["b"] from simple_var WHERE cast(v["a"]["b"] as int) = 1 encompasses three primary testing scenarios:

```
1. A basic test involving the variant data type.
2. A scenario dealing with GitHub event data in the context of a variant.
3. A case related to the TPC-H benchmark using a variant.
```

* [fix](memory) Add thread asynchronous purge jemalloc dirty pages (apache#28655)

jemallctl purge all arena dirty pages may take several seconds, which will block memory GC and cause OOM.
So purge asynchronously in a thread.

* [fix](regression) fix regression error of test_compress_type (apache#28826)

* [improvement](executor) Add tvf and regression test for Workload Scheduler (apache#28733)

1 Add select workload schedule policy tvf
2 Add reg test

* [chore](error msg) print type info when colocate with ddl failed due to type mismatch (apache#28773)

* [opt](query cancel) optimization for query cancel apache#28778

* [Fix](multi-catalog) skip hms events if hms table is not supported. (apache#28644)

Co-authored-by: wangxiangyu <wangxiangyu@360shuke.com>

* [Enhancement](job) No need to query some backends which are not alive. (apache#28608)

No need to execute some jobs if backend is not alive

* [fix](paimon)fix type convert for paimon (apache#28774)

fix type convert for paimon

* [fix](stream load)add test case and doc for arrow type of stream load (apache#28098)

add test case and doc for arrow type of stream load

* [feature](mtmv)mtmv partition refresh case (apache#28787)

* (enhance)(InternalQuery) Support to collect profile for intenal query (apache#28762)

* [optimize](count) optimize pk exact query without reading data (apache#28494)

* [opt](sessionVar)show changed sessoin var first apache#28840

“show variables” command list changed vars before not changed vars,

* check  stats and log memo for ds46 (apache#28396)

* [bug](sharedscan) Fix shared scan bug (apache#28841)

* [fix](hash join) fix stack overflow caused by evaluate case expr on huge build block (apache#28851)

* [refactor](executor)remove scan group apache#28847

* [pipelineX](refactor) rename functions (apache#28846)

* [Feature](inverted index) add lowercase option for inverted index analyzer (apache#28704)

* [feature](Nereids) Pull up join from union all (apache#28682)

* [fix](ci) tpch pipeline should not re-load data (apache#28874)

* [fix](ci) tpch pipeline should not re-load data

* 2

---------

Co-authored-by: stephen <hello-stephen@qq.com>

* [exec](compress) use FragmentTransmissionCompressionCodec control the exchange compress behavior (apache#28818)

* [improve](move-memtable) tweak load stream flush token num and max tasks (apache#28884)

* [improve](load) remove extra layer of heavy work pool in tablet_writer_add_block (apache#28550)

* [improve](load) limit delta writer flush task parallelism (apache#28883)

* [fix](multi-catalog)filter impala generated path (apache#28786)

file impala generated dir _imapala_insert_staging

* [enhancement](udf) add prepare function for java-udf (apache#28750)

* [refactor](test)Refactor workload group/schedule policy test apache#28888

[refactor](test)Refactor workload group/schedule policy test
apache#28888

* [improve](move-memtable) avoid using heavy work pool during append data (apache#28745)

* [enhancement](broker-load) fix-move-memtable-session-var-for-s3 (apache#28894)

* [exec](load) change default parallel num from 1 to 8 in no pipeline exec engine (apache#28864)

* [fix](segcompaction) disable segcompaction by default (apache#28906)

Signed-off-by: freemandealer <freeman.zhang1992@gmail.com>

* [fix](pipelineX) fix cannot runtime obtain profile on pipelineX apache#28795

* [fix](mtmv) fix failed to specify the number of buckets when bucket auto (apache#28854)

Issue Number: close #xxx

- fix failed to specify the number of buckets when bucket auto
- delete unused SessionVariable
- if mtmv used external table ,check `isMaterializedViewRewriteEnableContainForeignTable`

* [bugfix](scannercore) scanner will core in deconstructor during collect profile (apache#28727)

* [FIX](map)fix map with rowstore table (apache#28877)

* [feature](mtmv)MTMV pause and resume (apache#28887)

- PAUSE MATERIALIZED VIEW JOB ON mv1
- RESUME MATERIALIZED VIEW JOB ON mv1
- fix when drop db,not drop job
- add lock for one materialized view can only run one task at a time

* [feature](mtmv)add more test case1 (apache#28910)

* [fix](block) add block columns size dcheck (apache#28539)

* [fix](chore) update dcheck to avoid core during stress test (apache#28895)

* [fix](doc) Add the usage example of bos to the documentation of s3 tvf (apache#28899)

* [fix](mtmv)fix can not create mtmv all use default value (apache#28922)

* [fix](parquet) the end offset of column chunk may be wrong in parquet metadata (apache#28891)

* [fix](paimon)fix `like` predicate (apache#28803)

fix like predict

* [fix](merge-on-write) migration may cause duplicate keys for mow table (apache#28923)

* [fix](mtmv) Related partition exclude null generate column when increment build materialized view (apache#28855)

Infer partition column by materialized view partition column, exclude null generate column in join when increment build materialized view

* [nereids] fix join fd computing bug (apache#28849)

* [Fix](statistics) Fix partition name NPE and sample for all table during auto analyze (apache#28916)

Fix partition name NPE and sample for all table during auto analyze.
Sample for all tables because getData may have latency, which may cause full analyze a huge table and use too much resource. Sample for all tables to avoid this. Will improve the strategy later.

* [fix](nereids) Fix query mv rewrite fail when mv cache build quickly (apache#28876)

* [optimize](zonemap) skip zonemap if predicate does not support_zonemap (apache#28595)

* [optimize](zonemap) skip zonemap if predicate does not support_zonemap apache#27608 (apache#28506)

* Revert "[bugfix](scannercore) scanner will core in deconstructor during collect profile (apache#28727)" (apache#28931)

This reverts commit 4066de3.

* [fix] (nereids) Catch exception when mv fail and fix the npe (apache#28932)

* [fix](regression-test) test_partial_update_native_insert_stmt_complex is flaky (apache#28927)

* [improvement](group commit) make get column function more reliable when replaying wal (apache#28900)

* [opt](nereids) convert or to inpredicate and optimize inpredicate partition prune (apache#28316)

* [enhancement](bulk-load) cancel loading tasks directly without retrying when timeout exceeded (apache#28666)

* [chore](test) Add testing util sync point (apache#28924)

* [chore](prompt) Optimize tablet and replica prompt by pointing out what the numbers mean (apache#28925)

* [fix](join) incorrect result of left semi/anti join with empty build side (apache#28898)

* [docs] (DebugPoints) Update docs about Debug Points (apache#28347)


---------

Co-authored-by: qinhao <qinhao@newland.com.cn>

* [feature](api) add profile text api (apache#28697)

* [opt](invert index) Empty strings are not written to the index in the case of TOKENIZED (apache#28822)

* [feature](pipelineX) control exchange sink by memory usage (apache#28814)

* [fix](pipelineX) fix use global rf when there no shared_scans (apache#28869)

* [refactor](pipelineX)do not override dependency() function in pipelineX (apache#28848)

* [fix](log) regularise some BE error type and fix a load task check apache#28729

* [chore](test) correct create table statement (apache#28863)

* [fix](nereids)subquery unnest need handle subquery in Not expr correnctly (apache#28713)

* [feature](nereids)support decimalv2 (apache#28726)

* [fix](nereids)group by expr may be bound twice in bind agg slot (apache#28771)

* [doc](insert) Add group commit docs (apache#25949)

* [performance](variant) support topn 2phase read for variant column (apache#28318)

 [performance](variant) support topn 2phase read for variant column

* return residual expr of join (apache#28760)

* [fix](load) fix nullptr when getting memtable flush running count (apache#28942)

* [fix](load) fix nullptr when getting memtable flush running count

* style

* (enhance)(regression) Support `force_olap_table_replication_num=3` run test_insert_random_distribution_table case (apache#28903)

* [Test](Job)Add test case (apache#28481)

* [fix](doc) typo fix in auto-partition page (apache#28512)

* [feature](load) enable memtable on sink node by default (apache#28963)

* [Chore](Job)print log before task execute (apache#28962)

* [fix](hdfs) Fix HdfsFileSystem::exists_impl crash (apache#28952)

Calling hdfsGetLastExceptionRootCause without initializing ThreadLocalState
will crash. This PR modifies the condition for determining the existence of
a hdfs file, because hdfsExists will set errno to ENOENT when the file does
not exist, we can use this condition to check whether a file existence rather
than check the existence of the root cause.

* [fix](block) fix be core while mutable block merge may cause different row size between columns in origin block (apache#27943)

* [fix](doc) typo fix in dynamic-partition page (apache#28511)

* [fix](hash join) fix column ref DCHECK failure of hash join node block mem reuse (apache#28991)

Introduced by apache#28851, after evaluating build side expr, some columns in resulting block may be referenced more than once in the same block.

e.g. coalesce(col_a, 'string') if col_a is nullable but actually contains no null values, in this case funcition coalesce will insert a new nullable column which references the original col_a.

* [opt](assert_num_rows) support filter in AssertNumRows operator and fix some explain (apache#28935)

* NEED

* Update pipeline x

* fix pipelinex compile

* [fix](parquet_reader) misused bool pointer (apache#28986)

Signed-off-by: pengyu <pengyu@selectdb.com>

* [doc](multi-catalog)add krb and some ertificates FAQs (apache#28858)

add some security docs

* [fix](planner)should save original select list item before analyze (apache#28187)

* [fix](planner)should save original select list item before analyze

* fix test case

* fix failed case

* [bug](storage) Fix gc rowset bug (apache#28979)

* [fix](mtmv)add log for resolve pending task (apache#28999)

* add lock for resolve pending task

* add lock for resolve pending task

* [improvement](nereids) Get partition related table disable nullable field and complete agg matched pattern mv rules. (apache#28973)

* [improvement] (nereids) Get partition related table disable nullable field and modify regression test, complete agg mv rules.

* make filed not null to create partition mv

* [chore](config) modify `tablet_schema_cache_recycle_interval` from 24h to 1h (apache#28980)

To prevent from too many tablet schema cache in memory and lead to performance issue when hold lock
to erase item

* [opt](scanner) optimize the number of threads of scanners (apache#28640)

1. Remove `doris_max_remote_scanner_thread_pool_thread_num`, use `doris_scanner_thread_pool_thread_num` only.
2. Set the default value `doris_scanner_thread_pool_thread_num` as `std::max(48, CpuInfo::num_cores() * 4)`

* [chore](config) modify `variant_ratio_of_defaults_as_sparse_column` from 0.95 to 1 (apache#28984)

since sparse column is not stable at present

* [feature](nereids)support partition property in nereids (apache#28982)

* [feature](Nereids) support table valued function http_stream (apache#29004)

* [feature](Load)(step2)support nereids load job schedule (apache#26356)

We will  Integrate new load job manager into  new job scheduling framework so that the insert into task can be scheduled after the broker load sql  is converted to insert into TVF(table value function) sql.

issue: apache#24221

Now support:
1. load data by tvf insert into sql, but just for simple load(columns need to be defined in the table)
2. show load stmt
- job id, label name, job state, time info
- simple progress
3. cancel load from db
4. support that enable new load through Config.enable_nereids_load
5. can replay job after restarting doris

TODO:
- support partition insert job
- support show statistics from BE
- support multiple task and collect task statistic
- support transactional task
- need add ut case

* [enhance](tablet) Reduce log in tablet meta (apache#28719)

* [fix](case) Add sync to test case (apache#29034)

* [opt](compound) Optimize by deleting the compound expr after obtaining the final result (apache#28934)

* [hotfix](jdbc catalog) fix load table and column names npe (apache#28865)

This fix is for the npe situation that occurs when FE of non-Master nodes initializes Jdbc Catalog metadata.

* [opt](Nereids) support cast bewteen numeric and  boolean in FE (apache#29006)

* [improvement](jdbc catalog) Optimize connection pool caching logic (apache#28859)

In the old caching logic, we only used jdbcurl, user, and password as cache keys. This may cause the old link to be still used when replacing the jar package, so we should concatenate all the parameters required for the connection pool as the key.

* [fix](Nereids) runtime filter push down failed (apache#28997)

project child not always NamedExpression

failed msg
```
org.apache.doris.common.AnalysisException: errCode = 2, detailMessage = class org.apache.doris.nereids.trees.expressions.literal.VarcharLiteral cannot be cast to class org.apache.doris.nereids.trees.expressions.NamedExpression (org.apache.doris.nereids.trees.expressions.literal.VarcharLiteral and org.apache.doris.nereids.trees.expressions.NamedExpression are in unnamed module of loader 'app')
    at org.apache.doris.qe.StmtExecutor.executeByNereids(StmtExecutor.java:623) ~[classes/:?]
    at org.apache.doris.qe.StmtExecutor.execute(StmtExecutor.java:478) ~[classes/:?]
    at org.apache.doris.qe.StmtExecutor.execute(StmtExecutor.java:457) ~[classes/:?]
    at org.apache.doris.qe.ConnectProcessor.handleQuery(ConnectProcessor.java:245) ~[classes/:?]
    at org.apache.doris.qe.MysqlConnectProcessor.handleQuery(MysqlConnectProcessor.java:166) ~[classes/:?]
    at org.apache.doris.qe.MysqlConnectProcessor.dispatch(MysqlConnectProcessor.java:193) ~[classes/:?]
    at org.apache.doris.qe.MysqlConnectProcessor.processOnce(MysqlConnectProcessor.java:246) ~[classes/:?]
    at org.apache.doris.mysql.ReadListener.lambda$handleEvent$0(ReadListener.java:52) ~[classes/:?]
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) ~[?:?]
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) ~[?:?]
    at java.lang.Thread.run(Thread.java:829) ~[?:?]
Caused by: java.lang.ClassCastException: class org.apache.doris.nereids.trees.expressions.literal.VarcharLiteral cannot be cast to class org.apache.doris.nereids.trees.expressions.NamedExpression (org.apache.doris.nereids.trees.expressions.literal.VarcharLiteral and org.apache.doris.nereids.trees.expressions.NamedExpression are in unnamed module of loader 'app')
    at org.apache.doris.nereids.trees.plans.physical.PhysicalSetOperation.pushDownRuntimeFilter(PhysicalSetOperation.java:178) ~[classes/:?]
    at org.apache.doris.nereids.trees.plans.physical.PhysicalHashJoin.pushDownRuntimeFilter(PhysicalHashJoin.java:229) ~[classes/:?]
    at org.apache.doris.nereids.processor.post.RuntimeFilterGenerator.pushDownRuntimeFilterCommon(RuntimeFilterGenerator.java:386) ~[classes/:?]
```

* [fix](Nereids) generating function should not folding to NullLiteral (apache#29003)

should not fold table generating function to null when do constant folding.
we should remove Generate node and replaced it by project later.

* [improve](load) add profile for WaitFlushLimitTime (apache#29013)

* [opt](Nereids) let inverted index work with top opt (apache#29000)

* [feature](Nereids) support values inline table in query (apache#28972)

* [enhencement](config) change default memtable size & loadStreamPerNode & default load parallelism (apache#28977)

We change memtable size from 200MB to 100MB to achieve smoother flush
performance. We change loadStreamPerNode from 20 to 60 to avoid stream
rpc to be the bottleneck when enable memtable_on_sink_node. We change
default s3&broker load parallelsim to make the most of CPUs on moderm
multi-core systems.

Signed-off-by: freemandealer <freeman.zhang1992@gmail.com>

* [improve](move-memtable) increase load_stream_flush_token_max_tasks (apache#29011)

* [feature](scan) Implement parallel scanning by dividing the tablets based on the row range (apache#28967)

* [feature](scan) parallel scann on dup/mow mode

* fix bugs

* [refactor](create tablet) default create tablet round robin  (apache#28911)

* [Bug] optimize the collection import Lists dependency packge apache#28523 (apache#28579)

* [fix](regression) Fix flaky test test_partial_update_2pc_schema_change (apache#29037)

* [Bug](security) BE download_files function exists log print sensitive msg apache#28592 (apache#28594)

* Revert "[feature](load) enable memtable on sink node by default (apache#28963)" (apache#29090)

This reverts commit 17917a0.

* [improvement](statistics)Remove retry load when load stats cache fail (apache#28904)

Remove retry load when load stats cache fail. This case usually happens when BE is down or BE OOM, retry doesn't work in these cases and may increase BE work load.

* [fix](pipeline) sort_merge should throw exception in has_next_block if got failed status (apache#29076)

Test in regression-test/suites/datatype_p0/decimalv3/test_decimalv3_overflow.groovy::249 sometimes failed when there are multiple BEs and FE process report status slowly for some reason.

explain select k1, k2, k1 * k2 from test_decimal128_overflow2 order by 1,2,3
--------------

+----------------------------------------------------------------------------------------------------------------------------+
| Explain String(Nereids Planner)                                                                                            |
+----------------------------------------------------------------------------------------------------------------------------+
| PLAN FRAGMENT 0                                                                                                            |
|   OUTPUT EXPRS:                                                                                                            |
|     k1[#5]                                                                                                                 |
|     k2[#6]                                                                                                                 |
|     (k1 * k2)[#7]                                                                                                          |
|   PARTITION: UNPARTITIONED                                                                                                 |
|                                                                                                                            |
|   HAS_COLO_PLAN_NODE: false                                                                                                |
|                                                                                                                            |
|   VRESULT SINK                                                                                                             |
|      MYSQL_PROTOCAL                                                                                                        |
|                                                                                                                            |
|   111:VMERGING-EXCHANGE                                                                                                    |
|      offset: 0                                                                                                             |
|                                                                                                                            |
| PLAN FRAGMENT 1                                                                                                            |
|                                                                                                                            |
|   PARTITION: HASH_PARTITIONED: k1[#0], k2[#1]                                                                              |
|                                                                                                                            |
|   HAS_COLO_PLAN_NODE: false                                                                                                |
|                                                                                                                            |
|   STREAM DATA SINK                                                                                                         |
|     EXCHANGE ID: 111                                                                                                       |
|     UNPARTITIONED                                                                                                          |
|                                                                                                                            |
|   108:VSORT                                                                                                                |
|   |  order by: k1[#5] ASC, k2[#6] ASC, (k1 * k2)[#7] ASC                                                                   |
|   |  offset: 0                                                                                                             |
|   |                                                                                                                        |
|   102:VOlapScanNode                                                                                                        |
|      TABLE: regression_test_datatype_p0_decimalv3.test_decimal128_overflow2(test_decimal128_overflow2), PREAGGREGATION: ON |
|      partitions=1/1 (test_decimal128_overflow2), tablets=8/8, tabletList=22841,22843,22845 ...                             |
|      cardinality=6, avgRowSize=0.0, numNodes=1                                                                             |
|      pushAggOp=NONE                                                                                                        |
|      projections: k1[#0], k2[#1], (k1[#0] * k2[#1])                                                                        |
|      project output tuple id: 1                                                                                            |
+----------------------------------------------------------------------------------------------------------------------------+
36 rows in set (0.03 sec)
Why failed:

Multiple BEs
Fragments 0 and 1 are MUST on different BEs
Pipeline task of VOlapScanNode which executes k1*k2 failed sets query status to cancelled
Pipeline task of VSort call try close, send Cancelled status to VMergeExchange
sort_curso did not throw exception when it meets error

* [feature](Nereids): support infer join when comapring mv (apache#28988)

* [fix](nereids) "not is null" stats estimation fix (apache#28860)

* fix not is null stats

* [opt](nereids)expr normalize after filter pushdown (apache#28743)

normalize expression after filter push down

* [Enhancement](Wal)Support dynamic wal space limit (apache#27726)

* [fix](doc) spell errors fixes query profile docs (apache#28437)

* [opt](Nerieds) add infer props to expression (apache#28953)

* [fix](read) remove logic of estimating count of rows to read in segment iterator to avoid wrong result of unique key. (apache#29109)

* [fix](paimon) read batch by doris' batch size (apache#29039)

* [fix](mtmv)add log for resolve pending task (apache#29078)

* [Refact](inverted index) refactor inverted index writer init (apache#29072)

* [fix](paimon)Remove the static attribute of the source for paimon (apache#29032)

* [fix](planner) Fix delete statement on MOR unique table (apache#28968)

add conditions for mor table removed in apache#26776

* [fix][compile]unused variable (apache#28992)

* [Fix](WorkFlow)Auto replay not work

* [Fix](WorkFlow)Auto replay not work

* [Fix](WorkFlow)Auto replay not work

---------

Signed-off-by: nextdreamblue <zxw520blue1@163.com>
Signed-off-by: freemandealer <freeman.zhang1992@gmail.com>
Signed-off-by: pengyu <pengyu@selectdb.com>
Co-authored-by: lihangyu <15605149486@163.com>
Co-authored-by: Kang <kxiao.tiger@gmail.com>
Co-authored-by: jakevin <jakevingoo@gmail.com>
Co-authored-by: morrySnow <101034200+morrySnow@users.noreply.github.com>
Co-authored-by: xueweizhang <zxw520blue1@163.com>
Co-authored-by: zhangguoqiang <18372634969@163.com>
Co-authored-by: zhangdong <493738387@qq.com>
Co-authored-by: airborne12 <airborne08@gmail.com>
Co-authored-by: Ma1oneZhang <73012001+Ma1oneZhang@users.noreply.github.com>
Co-authored-by: ziyang zhang <zhangziyang@stu.cdut.edu.cn>
Co-authored-by: Siyang Tang <82279870+TangSiyang2001@users.noreply.github.com>
Co-authored-by: Kaijie Chen <ckj@apache.org>
Co-authored-by: Yongqiang YANG <98214048+dataroaring@users.noreply.github.com>
Co-authored-by: yiguolei <676222867@qq.com>
Co-authored-by: minghong <englefly@gmail.com>
Co-authored-by: Jibing-Li <64681310+Jibing-Li@users.noreply.github.com>
Co-authored-by: Gavin Chou <gavineaglechou@gmail.com>
Co-authored-by: plat1ko <platonekosama@gmail.com>
Co-authored-by: wudongliang <46414265+DongLiang-0@users.noreply.github.com>
Co-authored-by: Nitin-Kashyap <66766227+Nitin-Kashyap@users.noreply.github.com>
Co-authored-by: yiguolei <yiguolei@gmail.com>
Co-authored-by: wangbo <wangbo@apache.org>
Co-authored-by: nanfeng <42513321+nanfeng1999@users.noreply.github.com>
Co-authored-by: Xinyi Zou <zouxinyi02@gmail.com>
Co-authored-by: qiye <jianliang5669@gmail.com>
Co-authored-by: DuRipeng <453243496@qq.com>
Co-authored-by: wuwenchi <wuwenchihdu@hotmail.com>
Co-authored-by: Qi Chen <kaka11.chen@gmail.com>
Co-authored-by: Mingyu Chen <morningman@163.com>
Co-authored-by: Xin Liao <liaoxinbit@126.com>
Co-authored-by: yujun <yu.jun.reach@gmail.com>
Co-authored-by: walter <w41ter.l@gmail.com>
Co-authored-by: xy <whuxingying@163.com>
Co-authored-by: xingying01 <xingying01@corp.netease.com>
Co-authored-by: seawinde <149132972+seawinde@users.noreply.github.com>
Co-authored-by: Mryange <59914473+Mryange@users.noreply.github.com>
Co-authored-by: starocean999 <40539150+starocean999@users.noreply.github.com>
Co-authored-by: bobhan1 <bh2444151092@outlook.com>
Co-authored-by: zzzxl <33418555+zzzxl1993@users.noreply.github.com>
Co-authored-by: yangshijie <sjyang2022@zju.edu.cn>
Co-authored-by: zclllyybb <zhaochangle@selectdb.com>
Co-authored-by: amory <wangqiannan@selectdb.com>
Co-authored-by: zhiqiang <seuhezhiqiang@163.com>
Co-authored-by: xy720 <22125576+xy720@users.noreply.github.com>
Co-authored-by: Gabriel <gabrielleebuaa@gmail.com>
Co-authored-by: htyoung <hty551020@hotmail.com>
Co-authored-by: Pxl <pxl290@qq.com>
Co-authored-by: Luwei <814383175@qq.com>
Co-authored-by: meiyi <myimeiyi@gmail.com>
Co-authored-by: Ashin Gau <AshinGau@users.noreply.github.com>
Co-authored-by: HHoflittlefish777 <77738092+HHoflittlefish777@users.noreply.github.com>
Co-authored-by: 谢健 <jianxie0@gmail.com>
Co-authored-by: XuJianxu <xjxlzlpzl@163.com>
Co-authored-by: 胥剑旭 <xujianxu@xujianxudeMacBook-Pro.local>
Co-authored-by: Yoko <53637394+TomaYoko@users.noreply.github.com>
Co-authored-by: huanghaibin <284824253@qq.com>
Co-authored-by: lw112 <131352377+felixwluo@users.noreply.github.com>
Co-authored-by: zhannngchen <48427519+zhannngchen@users.noreply.github.com>
Co-authored-by: Xiangyu Wang <dut.xiangyu@gmail.com>
Co-authored-by: wangxiangyu <wangxiangyu@360shuke.com>
Co-authored-by: AlexYue <yj976240184@gmail.com>
Co-authored-by: TengJianPing <18241664+jacktengg@users.noreply.github.com>
Co-authored-by: xzj7019 <131111794+xzj7019@users.noreply.github.com>
Co-authored-by: Dongyang Li <hello_stephen@qq.com>
Co-authored-by: stephen <hello-stephen@qq.com>
Co-authored-by: HappenLee <happenlee@hotmail.com>
Co-authored-by: slothever <18522955+wsjz@users.noreply.github.com>
Co-authored-by: zhangstar333 <87313068+zhangstar333@users.noreply.github.com>
Co-authored-by: zhengyu <freeman.zhang1992@gmail.com>
Co-authored-by: Jerry Hu <mrhhsg@gmail.com>
Co-authored-by: HowardQin <hao.qin@esgyn.cn>
Co-authored-by: qinhao <qinhao@newland.com.cn>
Co-authored-by: deardeng <565620795@qq.com>
Co-authored-by: caiconghui <55968745+caiconghui@users.noreply.github.com>
Co-authored-by: py023 <137761033+py023@users.noreply.github.com>
Co-authored-by: zy-kkk <zhongyk10@gmail.com>
Co-authored-by: Guangming Lu <71873108+LuGuangming@users.noreply.github.com>
Co-authored-by: abmdocrt <Yukang.Lian2022@gmail.com>
hello-stephen pushed a commit to hello-stephen/doris that referenced this pull request Dec 28, 2023
HappenLee pushed a commit to HappenLee/incubator-doris that referenced this pull request Jan 12, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
approved Indicates a PR has been approved by one committer. meta-change reviewed workload-group workload-schedule
Projects
None yet
Development

Successfully merging this pull request may close these issues.

4 participants