1. `StorageEngine::_delete_tablets_on_unused_root_path` will try to obtain tablet shard write lock in `TabletManager`
```
StorageEngine::_delete_tablets_on_unused_root_path
TabletManager::drop_tablets_on_error_root_path
obtain each tablet shard's write lock
```
2. `TabletManager::build_all_report_tablets_info` and other methods will obtain tablet shard read lock frequently.
So, `StorageEngine::_delete_tablets_on_unused_root_path` will hold `_store_lock` for a long time.
This will make it difficult for other threads to get write `_store_lock`, such as `StorageEngine::get_stores_for_create_tablet`
`drop_tablets_on_error_root_path` is a small probability event, `TabletManager::drop_tablets_on_error_root_path` should return when its param `tablet_info_vec` is empty
random_shuflle will generate same random sequence when call multiple times,
although we use twice random, but when there is no change in the size relationship
between the adjacent numbers, the result of the second shuffle will not change either
To avoid showing too many memtracker on BE web pages.
The MemTracker level now has 3 levels: OVERVIEW, TASK and VERBOSE.
OVERVIEW Mainly used for main memory consumption module such as Query/Load/Metadata.
TASK is mainly used to record the memory overhead of a single task such as a single query, load, and compaction task.
VERBOSE is used for other more detailed memtrackers.
We created multiple rowset readers to read data of one tablet,
after one rowset reader has reached EOF, it can be released to
reduce resource (typically memory) consumption.
As the same, we can release segment reader when it reach EOF.
The version information of the tablet will be stored in the memory
in an adjacency graph data structure.
And as the new version is written and the old version is deleted,
the data structure will begin to have empty vertex with no edge associations(orphan vertex).
These orphan vertexs should be removed somehow.
1. Add /api/compaction/run_status to show the running compaction tasks.
2. Support do base and cumulative compaction for one tablet at same time.
3. Modify some log level.
4. Add a feedback document.
Currently Tablet meta checkpoint is a memory-exhausted operation.
If a host has 12 disks, it will start 12 threads to do tablet meta checkpoint.
In our experience, the data size of one tablet can be as high as 2G.
If 12 threads do the checkpoint at the same time, it maybe cause OOM.
Therefore, this PR try to solve this problem.
Firstly, it only start one thread to produce table meta checkpoint tasks.
Secondly, it creates a thread pool to handle these tasks.
You can configure the size of the thread pool to control the parallelism in case of OOM.
It is a producer-customer model.
Record finished stream load job (both successful job and failed job) into audit log
so that we can see when the stream load job was executed and check the details of stream load jobs.
MemTracker can provide memory consumption for us to find out which
module consume more memory, but it's just a current value, this patch
add metrics for some large memory consumers, then we can find out
which module consume more memory in timeline, it would be useful to
troubleshoot OOM problems and optimize configs.
* [Enhance] Make MemTracker more accurate (#5515)
This PR main about:
1. Improve the readability of MemTrackers' name
2. Add the MemTracker of:
* Load
* Compaction
* SchemaChange
* StoragePageCache
* TabletManager
3. Change SchemaChange to a Singleon
* revise some code for Code Review
* change the name of mem_tracker
* keep reader_context have the same lifetime of rowset_reader in schema change.
* change vlog notice to log(warning) in schema change
* update gcc to gcc 10 and support c++17
update brpc to 0.9.7
update boost to 1.73
remove third-party boost 1.54 for mysql
* update cmake version
* ignore jdk version
* remove unused patch
* avoid use SYS_getrandom call
* [Enhance] Sort directories by available space when do trash sweep
In the case when one disk is about to be full, we want to sweep trash
data on this disk as quickly as possible. The currently trash sweep
function is to remove trashed files order by path's name, however, disk
data directories may have some large different available space because
of the load balance algorithm, this patch improve it to remove files by
directories' available space.
* add log
At present, the application of vlog in the code is quite confusing.
It is inherited from impala VLOG_XX format, and there is also VLOG(number) format.
VLOG(number) format does not have a unified specification, so this pr standardizes the use of VLOG
ThreadSanitizer, aka TSAN, is a useful tool to detect multi-thread
problems, such as data race, mutex problems, etc.
We should detect TSAN problems for Doris BE, both unit tests and
server should pass through TSAN mode, to make Doris more robustness.
This is the very beginning patch to fix TSAN problems, and some
difficult problems are suppressed in file 'tsan_suppressions', you
can suppress these problems by setting:
export TSAN_OPTIONS="suppressions=tsan_suppressions"
before running:
`BUILD_TYPE=tsan ./run-be-ut.sh --run`
Add trace for create tablet tasks, it's a useful tool for admin to find
out the bottleneck when create tablets timeouted.
For example, admin could enlarge 'tablet_map_shard_size' when found
'got tablets shard lock' procedure cost too much time.
The current compaction mechanism is that there is a producer thread that has been producing compaction tasks,
and the selected tablet must apply for `permits`.
When a tablet could hold `permits`, compaction task for this tablet will be submitted to thread pool.
We take compaction score as `permits` which is used for limiting memory consumption.
However, `pick_rowset_to_compaction()` will be executed before the file merge in compaction thread,
and the number of segment files that actually perform the merge operation is smaller than compaction score.
In addition, it is also possible that compaction task exits directly because the tablet doesn't meet
the requirements of compaction.
This patch optimizes and refactors the code of compaction, so that we can execute 'pick rowsets'
before applying for permits for a compaction task, calculate the number of segment files that actually
participate in the merge operation, and take this number as `permits`.
We create some objects which are only used for unit tests, it's not necessary,
and it may cause create duplicate instances for some classes.
This patch remove unnecessary instance of class BlockManager and StoragePageCache.
Currently, there are M threads to do base compaction and N threads to do cumulative compaction for each disk.
Too many compaction tasks may run out of memory, so the max concurrency of running compaction tasks
is limited by semaphore.
If the running threads cost too much memory, we can't defense it. In addition, reducing concurrency to avoid OOM
will lead to some compaction tasks can't be executed in time and we may encounter more heavy compaction.
Therefore, concurrency limitation is not enough.
The strategy proposed in #3624 may be effective to solve the OOM.
A CompactionPermitLimiter is used for compaction limitation, and use single-producer/multi-consumer model.
Producer will try to generate compaction tasks and acquire `permits` for each task.
The compaction task which can hold `permits` will be executed in thread pool and each finished task will
release its `permits`.
`permits` should be applied for before a compaction task can execute. When the sum of `permits`
held by executing compaction tasks reaches a threshold, subsequent compaction task will be no longer allowed,
until some `permits` are released. Tablet compaction score is used as `permits` of compaction task here.
To some extent, memory consumption can be limited by setting appropriate `permits` threshold.
The tablet and disk information reporting threads need to report to the FE periodically.
At the same time these two reporting threads will also be triggered by certain events.
The modification in PR #4440 caused these two threads to be triggered only by events,
and could not report regularly.
BE can not graceful exit because some threads are running in endless
loop. This patch do the following optimization:
- Use the well encapsulated Thread and ThreadPool instead of std::thread
and std::vector<std::thread>
- Use CountDownLatch in thread's loop condition to avoid endless loop
- Introduce a new class Daemon for daemon works, like tcmalloc_gc,
memory_maintenance and calculate_metrics
- Decouple statistics type TaskWorkerPool and StorageEngine notification
by submit tasks to TaskWorkerPool's queue
- Reorder objects' stop and deconstruct in main(), i.e. stop network
services at first, then internal services
- Use libevent in pthreads mode, by calling evthread_use_pthreads(),
then EvHttpServer can exit gracefully in multi-threads
- Call brpc::Server's Stop() and ClearServices() explicitly
Sometimes we want to detect the hotspot of a cluster, for example, hot scanned tablet, hot wrote tablet,
but we have no insight about tablets in the cluster.
This patch introduce tablet level metrics to help to achieve this object, now support 4 metrics on tablets: `query_scan_bytes `, `query_scan_rows `, `flush_bytes `, `flush_count `.
However, one BE may holds hundreds of thousands of tablets, so I add a parameter for the metrics HTTP request,
and not return tablet level metrics by default.
When creating a tablet, it is necessary to select a disk from all disks that
meet the requirements on the BE node to store the tablet.
In Doris, the current disk selection strategy is to randomly select a disk
from all disks that meet the requirements for tablet creation.
After the cluster has been running for a long time, we found that the
distribution of the number of tablets on different disks in a BE node is unbalanced.
In order to solve this problem, we introduced the algorithm of "two random choices"
for disk selection when creating the tablet:
(1) Select two disks from all disks that meet the requirements on the BE node randomly；
(2) Choose the disk with a smaller number of tablet from the two disks selected in (1) for tablet creation.
In some very special circumstances, such as code bugs, or human misoperation, etc.,
all replicas of some tablets may be lost. In this case, the data has been substantially lost.
However, in some scenarios, the business still hopes to ensure that the query will not
report errors even if there is data loss, and reduce the perception of the user layer.
At this point, we can use the blank Tablet to fill the missing replica to ensure that the query can be executed normally.
Add a new FE config `recover_with_empty_tablet`. default is false. true means to use empty tablet to fill the missing one.
Also fix a bug in Fix#4274
Redesign metrics to 3 layers:
MetricRegistry - MetricEntity - Metrics
MetricRegistry : the register center
MetricEntity : the entity registered on MetricRegistry. Generally a MetricRegistry can be registered on several
MetricEntities, each of MetricEntity is an independent entity, such as server, disk_devices, data_directories, thrift
clients and servers, and so on.
Metric : metrics of an entity. Such as fragment_requests_total on server entity, disk_bytes_read on a disk_device entity,
thrift_opened_clients on a thrift_client entity.
MetricPrototype: the type of a metric. MetricPrototype is a global variable, can be shared by the same metrics across
different MetricEntities.
We make all MemTrackers shared, in order to show MemTracker real-time consumptions on the web.
As follows:
1. nearly all MemTracker raw ptr -> shared_ptr
2. Use CreateTracker() to create new MemTracker(in order to add itself to its parent)
3. RowBatch & MemPool still use raw ptrs of MemTracker, it's easy to ensure RowBatch & MemPool destructor exec
before MemTracker's destructor. So we don't change these code.
4. MemTracker can use RuntimeProfile's counter to calc consumption. So RuntimeProfile's counter need to be shared
too. We add a shared counter pool to store the shared counter, don't change other counters of RuntimeProfile.
Note that, this PR doesn't change the MemTracker tree structure. So there still have some orphan trackers, e.g. RowBlockV2's MemTracker. If you find some shared MemTrackers are little memory consumption & too time-consuming, you could make them be the orphan, then it's fine to use the raw ptr.
StorageEngine::open just return a very vague status info when failed,
we have to check logs to find out the root reason, and it's not
convenient to check logs if we run unit tests in CI dockers.
It would be better to return more detailed failure info to point out
the root reason, for example, it may return error status with message
"file descriptors limit is too small".
