Fix work load group GC, add cancel load and add logs.
Unify the format and change all to lowercase of GC logs, avoid unnecessary trouble when grep or less
Add logs to help locate the cause of slow GC.
If there is a core dump here, it may cover up the real stack, if stack trace indicates heap corruption
(which led to invalid jemalloc metadata), like double free or use-after-free in the application.
Try sanitizers such as ASAN, or build jemalloc with --enable-debug to investigate further.
Jemalloc dirty page only use madvise MADV_FREE, memory is not release back to system, RSS won't reduce in time,
So when the process memory exceed limit or system available memory is insufficient,
manually transfer dirty page to the muzzy page, which will call MADV_DONTNEED to release the physical memory back to the system.
https://jemalloc.net/jemalloc.3.html#opt.dirty_decay_ms
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.
1. When the process memory is insufficient, print the process memory statistics in a more timely and detailed manner.
2. Support regular GC cache, currently only page cache and chunk allocator are included, because many people reported that the memory does not drop after the query ends.
3. Reduce system available memory warning water mark to reduce memory waste
4. Optimize soft mem limit logging
When the system MemAvailable is less than the warning water mark, or the memory used by the BE process exceeds the mem soft limit, run minor gc and try to release cache.
When the MemAvailable of the system is less than the low water mark, or the memory used by the BE process exceeds the mem limit, run fucc gc, try to release the cache, and start canceling from the query with the largest memory usage until the memory of mem_limit * 20% is released.
# Proposed changes
This PR fixed lots of issues when building from source on macOS with Apple M1 chip.
## ATTENTION
The job for supporting macOS with Apple M1 chip is too big and there are lots of unresolved issues during runtime:
1. Some errors with memory tracker occur when BE (RELEASE) starts.
2. Some UT cases fail.
...
Temporarily, the following changes are made on macOS to start BE successfully.
1. Disable memory tracker.
2. Use tcmalloc instead of jemalloc.
This PR kicks off the job. Guys who are interested in this job can continue to fix these runtime issues.
## Use case
```shell
./build.sh -j 8 --be --clean
cd output/be/bin
ulimit -n 60000
./start_be.sh --daemon
```
## Something else
It takes around _**10+**_ minutes to build BE (with prebuilt third-parties) on macOS with M1 chip. We will improve the development experience on macOS greatly when we finish the adaptation job.
When the physical memory of the process reaches 90% of the mem limit, trigger the load channel mgr to brush down
The default value of be.conf mem_limit is changed from 90% to 80%, and stability is the priority.
Fix deadlock in arena_locks in BufferPool::BufferAllocator::ScavengeBuffers and _lock in DebugString
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.
tcmalloc/jemalloc allocator cache does not participate in the mem check as part of the process physical memory.
because new/malloc will trigger mem hook when using tcmalloc/jemalloc allocator cache, but it may not actually alloc physical memory, which is not expected in mem hook fail.
in addition:
The value of tcmalloc/jemalloc allocator cache is used as a mem tracker, the parent is the process mem tracker, which is updated every 1s.
Modify the process default mem_limit to 90%. expect mem tracker to effectively limit the memory usage of the process.
Modify the implementation of MemTracker:
1. Simplify a lot of useless logic;
2. Added MemTrackerTaskPool, as the ancestor of all query and import trackers, This is used to track the local memory usage of all tasks executing;
3. Add cosume/release cache, trigger a cosume/release when the memory accumulation exceeds the parameter mem_tracker_consume_min_size_bytes;
4. Add a new memory leak detection mode (Experimental feature), throw an exception when the remaining statistical value is greater than the specified range when the MemTracker is destructed, and print the accurate statistical value in HTTP, the parameter memory_leak_detection
5. Added Virtual MemTracker, cosume/release will not sync to parent. It will be used when introducing TCMalloc Hook to record memory later, to record the specified memory independently;
6. Modify the GC logic, register the buffer cached in DiskIoMgr as a GC function, and add other GC functions later;
7. Change the global root node from Root MemTracker to Process MemTracker, and remove Process MemTracker in exec_env;
8. Modify the macro that detects whether the memory has reached the upper limit, modify the parameters and default behavior of creating MemTracker, modify the error message format in mem_limit_exceeded, extend and apply transfer_to, remove Metric in MemTracker, etc.;
Modify where MemTracker is used:
1. MemPool adds a constructor to create a temporary tracker to avoid a lot of redundant code;
2. Added trackers for global objects such as ChunkAllocator and StorageEngine;
3. Added more fine-grained trackers such as ExprContext;
4. RuntimeState removes FragmentMemTracker, that is, PlanFragmentExecutor mem_tracker, which was previously used for independent statistical scan process memory, and replaces it with _scanner_mem_tracker in OlapScanNode;
5. MemTracker is no longer recorded in ReservationTracker, and ReservationTracker will be removed later;
1. replace all boost::shared_ptr to std::shared_ptr
2. replace all boost::scopted_ptr to std::unique_ptr
3. replace all boost::scoped_array to std::unique<T[]>
4. replace all boost:thread to std::thread
