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.
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.
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.
Refactor TaggableLogger
Refactor status handling in agent task:
Unify log format in TaskWorkerPool
Pass Status to the top caller, and replace some OLAPInternalError with more detailed error message Status
Premature return with the opposite condition to reduce indention
1. Fix Lru Cache MemTracker consumption value is negative.
2. Fix compaction Cache MemTracker has no track.
3. Add USE_MEM_TRACKER compile option.
4. Make sure the malloc/free hook is not stopped at any time.
1. solved the previous delayed unit test file size is too large (1.7G+) and the unit test link time is too long problem problems
2. Unify all unit tests into one file to significantly reduce unit test execution time to less than 3 mins
3. temporarily disable stream_load_test.cpp, metrics_action_test.cpp, load_channel_mgr_test.cpp because it will re-implement part of the code and affect other tests
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
There are some long loops and sleeps in unit tests, it will cost a
very long time to run all unit tests, especially run in TSAN mode.
This patch speed up unit tests by shortening long loops and sleeps,
on my environment all unit tests finished in 1 minite. It's useful
to do basic functional unit tests.
You can switch to run in this mode by adding a new environment variable
'DORIS_ALLOW_SLOW_TESTS'. For example, you can set:
export DORIS_ALLOW_SLOW_TESTS=1
and also you can disable it by setting:
export DORIS_ALLOW_SLOW_TESTS=0
When LRUCache insert and evict a large number of entries, there are
frequently calls of HandleTable::remove(e->key, e->hash), it will
lookup the entry in the hash table. Now that we know the entry to
remove 'e', we can remove it directly from hash table's collision list
if it's a double linked list.
This patch refactor the collision list to double linked list, the simple
benchmark CacheTest.SimpleBenchmark shows that time cost reduced about
18% in my test environment.