start time: Wed 07 Jun 2023 06:50:14 PM CST
*** Query id: e9000000e9-eb00000073 ***
*** Aborted at 1686136356 (unix time) try "date -d @1686136356" if you are using GNU date ***
*** Current BE git commitID: 5c33dd7a2c ***
*** SIGSEGV address not mapped to object (@0x23000000235) received by PID 2131238 (TID 2132258 OR 0x7f708eff7700) from PID 565; stack trace: ***
0# doris::signal::(anonymous namespace)::FailureSignalHandler(int, siginfo_t*, void*) at /mnt/hdd01/repo_center/doris_branch-2.0-beta/doris/be/src/common/signal_handler.h:413
1# 0x00007F727BBE3090 in /lib/x86_64-linux-gnu/libc.so.6
2# doris::AttachTask::AttachTask(doris::RuntimeState*) at /mnt/hdd01/repo_center/doris_branch-2.0-beta/doris/be/src/runtime/thread_context.cpp:43
3# std::_Function_handler<void (doris::PTabletWriterAddBlockResult const&, bool), doris::stream_load::VNodeChannel::open_wait()::$_1>::_M_invoke(std::_Any_data const&, doris::PTabletWriterAddBlockResult const&, bool&&) at /var/local/ldb_toolchain/bin/../lib/gcc/x86_64-linux-gnu/11/../../../../include/c++/11/bits/std_function.h:291
4# doris::stream_load::ReusableClosure<doris::PTabletWriterAddBlockResult>::Run() at /mnt/hdd01/repo_center/doris_branch-2.0-beta/doris/be/src/vec/sink/vtablet_sink.h:176
5# brpc::Controller::EndRPC(brpc::Controller::CompletionInfo const&) in /root/20230607171843-doris-branch-2.0-beta-5c33dd7a/be/lib/doris_be
6# brpc::Controller::OnVersionedRPCReturned(brpc::Controller::CompletionInfo const&, bool, int) in /root/20230607171843-doris-branch-2.0-beta-5c33dd7a/be/lib/doris_be
7# brpc::policy::ProcessRpcResponse(brpc::InputMessageBase*) in /root/20230607171843-doris-branch-2.0-beta-5c33dd7a/be/lib/doris_be
8# brpc::InputMessenger::InputMessageClosure::~InputMessageClosure() in /root/20230607171843-doris-branch-2.0-beta-5c33dd7a/be/lib/doris_be
9# brpc::InputMessenger::OnNewMessages(brpc::Socket*) in /root/20230607171843-doris-branch-2.0-beta-5c33dd7a/be/lib/doris_be
10# brpc::Socket::ProcessEvent(void*) in /root/20230607171843-doris-branch-2.0-beta-5c33dd7a/be/lib/doris_be
11# bthread::TaskGroup::task_runner(long) in /root/20230607171843-doris-branch-2.0-beta-5c33dd7a/be/lib/doris_be
12# bthread_make_fcontext in /root/20230607171843-doris-branch-2.0-beta-5c33dd7a/be/lib/doris_be
This work is in the early stage, current progress is not accurate because the scan range will be too large
for gathering information, what's more, only file scan node and import job support new progress manager
## How it works
for example, when we use the following load query:
```
LOAD LABEL test_broker_load
(
DATA INFILE("XXX")
INTO TABLE `XXX`
......
)
```
Initial Progress: the query will call `BrokerLoadJob` to create job, then `coordinator` is called to calculate scan range and its location.
Update Progress: BE will report runtime_state to FE and FE update progress status according to jobID and fragmentID
we can use `show load` to see the progress
PENDING:
```
State: PENDING
Progress: 0.00%
```
LOADING:
```
State: LOADING
Progress: 14.29% (1/7)
```
FINISH:
```
State: FINISHED
Progress: 100.00% (7/7)
```
At current time, full output of `show load\G` looks like:
```
*************************** 1. row ***************************
JobId: 25052
Label: test_broker
State: LOADING
Progress: 0.00% (0/7)
Type: BROKER
EtlInfo: NULL
TaskInfo: cluster:N/A; timeout(s):250000; max_filter_ratio:0.0
ErrorMsg: NULL
CreateTime: 2023-05-03 20:53:13
EtlStartTime: 2023-05-03 20:53:15
EtlFinishTime: 2023-05-03 20:53:15
LoadStartTime: 2023-05-03 20:53:15
LoadFinishTime: NULL
URL: NULL
JobDetails: {"Unfinished backends":{"5a9a3ecd203049bc-85e39a765c043228":[10080]},"ScannedRows":39611808,"TaskNumber":1,"LoadBytes":7398908902,"All backends":{"5a9a3ecd203049bc-85e39a765c043228":[10080]},"FileNumber":1,"FileSize":7895697364}
TransactionId: 14015
ErrorTablets: {}
User: root
Comment:
```
## TODO:
1. The current partition granularity of scan range is too large, resulting in an uneven loading process for progress."
2. Only broker load supports the new Progress Manager, support progress for other query
TabletSink and LoadChannel in BE are M: N relationship,
Every once in a while LoadChannel will randomly return its own runtime profile to a TabletSink, so usually all LoadChannel runtime profiles are saved on each TabletSink, and the timeliness of the same LoadChannel profile saved on different TabletSinks is different, and each TabletSink will periodically send fe reports all the LoadChannel profiles saved by itself, and ensures to update the latest LoadChannel profile according to the timestamp.
Currently, there are some useless includes in the codebase. We can use a tool named include-what-you-use to optimize these includes. By using a strict include-what-you-use policy, we can get lots of benefits from it.
No check mem tracker limit and no cancel task in mem hook, only in Allocator. This helps in clearer analysis of memory issues and reduces performance loss.
PODArray/hash table/arena memory allocation will use Allocator.
Optimize mem limit exceeded log printing
Optimize compilation time
Follow #17586.
This PR mainly changes:
Remove env/
Remove FileUtils/FilesystemUtils
Some methods are moved to LocalFileSystem
Remove olap/file_cache
Add s3 client cache for s3 file system
In my test, the time of open s3 file can be reduced significantly
Fix cold/hot separation bug for s3 fs.
This is the last PR of #17764.
After this, all IO operation should be in io/fs.
Except for tests in #17586, I also tested some case related to fs io:
clone
concurrency query on local/s3/hdfs
load error log create and clean
disk metrics
Now we use a thrift message per fragment instance. However, there are many same messages between instances in a fragment. So this PR aims to extract the same messages and we only need to send thrift message once for a fragment
Overcommit memory means that when the memory is sufficient, it no longer checks whether the memory of query/load exceeds the exec mem limit.
Instead, when the process memory exceeds the limit or the available system memory is insufficient, cancel the top overcommit query in minor gc, and cancel top memory query in full gc.
Previously only query supported overcommit memory, this pr supports load, including insert into and stream load.
Detailed explanation, I will update the memory document in these two days~
15bd56cd43/docs/zh-CN/docs/admin-manual/maint-monitor/memory-management/memory-limit-exceeded-analysis.md
mem tracker can be logically divided into 4 layers: 1)process 2)type 3)query/load/compation task etc. 4)exec node etc.
type includes
enum Type {
GLOBAL = 0, // Life cycle is the same as the process, e.g. Cache and default Orphan
QUERY = 1, // Count the memory consumption of all Query tasks.
LOAD = 2, // Count the memory consumption of all Load tasks.
COMPACTION = 3, // Count the memory consumption of all Base and Cumulative tasks.
SCHEMA_CHANGE = 4, // Count the memory consumption of all SchemaChange tasks.
CLONE = 5, // Count the memory consumption of all EngineCloneTask. Note: Memory that does not contain make/release snapshots.
BATCHLOAD = 6, // Count the memory consumption of all EngineBatchLoadTask.
CONSISTENCY = 7 // Count the memory consumption of all EngineChecksumTask.
}
Object pointers are no longer saved between each layer, and the values of process and each type are periodically aggregated.
other fix:
In [fix](memtracker) Fix transmit_tracker null pointer because phamp is not thread safe #13528, I tried to separate the memory that was manually abandoned in the query from the orphan mem tracker. But in the actual test, the accuracy of this part of the memory cannot be guaranteed, so put it back to the orphan mem tracker again.
The mem hook record tracker cannot guarantee that the final consumption is 0, nor can it guarantee that the memory alloc and free are recorded in a one-to-one correspondence.
In the life cycle of a memtable from insert to flush, the memory free of hook is more than that of alloc, resulting in tracker consumption less than 0.
In order to avoid the cumulative error of the upper load channel tracker, the memtable tracker consumption is reset to zero on destructor.
The mem hook consumes the orphan tracker by default. If the thread does not attach other trackers, by default all consumption will be passed to the process tracker through the orphan tracker.
In real time, consumption of all other trackers + orphan tracker consumption = process tracker consumption.
Ideally, all threads are expected to attach to the specified tracker, so that "all memory has its own ownership", and the consumption of the orphan mem tracker is close to 0, but greater than 0.
