This pr mainly supports
1. Export query result sets concurrently
2. Query result set export supports s3 protocol
Among them, there are several preconditions for concurrently exporting query result sets
1. Enable concurrent export variables
2. The query itself can be exported concurrently
(some queries containing sort nodes at the top level cannot be exported concurrently)
3. Export the s3 protocol used instead of the broker
After exporting the result set concurrently,
the file prefix is changed to outfile_{query_instance_id}_filenumber.{file_format}
1 Make some MemTracker have reasonable parent MemTracker not the root tracker
2 Make each MemTracker can be easily to trace.
3 Add show level of MemTracker to reduce the MemTracker show in the web page to have a way to control show how many tracker in web page.
At present, when some rpc errors occur, the client cannot obtain the error information well.
And this CL change the RPC error returned to client like this:
```
ERROR 1064 (HY000): errCode = 2, detailMessage = there is no scanNode Backend. [10002: in black list(A error
occurred: errorCode=2001 errorMessage:Channel inactive error!)]
ERROR 1064 (HY000): failed to send brpc batch, error=The server is overcrowded, error_text=[E1011]The server is
overcrowded @xx.xx.xx.xx:8060 [R1][E1011]The server is overcrowded @xx.xx.xx.xx:8060 [R2][E1011]The server is
overcrowded @xx.xx.xx.xx:8060 [R3][E1011]The server is overcrowded @xx.xx.xx.xx:8060, client: yy.yy.yy.yy
```
Using attachement strategy of brpc to send packet with big size.
BRPC send packet should serialize it first and then send it.
If we send one batch with big size, it will encounter a connection failed.
So we can use attachment strategy to bypass the problem and eliminate
the serialization cost.
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.
Mainly change:
1. Fix the bug in `update_status(status)` of `PlanFragmentExecutor`.
2. When the FE Coordinator executes `execRemoteFragmentAsync()`, if it finds an RPC error, return a Future with an error code instead of exception.
3. Protect the `_status` in RuntimeState with lock
4. Move the `_runtime_profile` of RuntimeState before the `_obj_pool`, so that the profile will be
deconstructed after the object pool.
5. Remove the unused `ObjectPool` param in RuntimeProfile constructor. If I don't remove it,
RuntimeProfile will depends on the `_obj_pool` in RuntimeProfile.
1. Delete Invalid Counter In Data_Stream_Sender. (#3598)
2. Add Counter For PartitionHashTable of PartitionAggregationNode:
* Hash Probe Method
* Row processed by Aggregation
* HashFilledBuckets: Counter How Many FilledBuckets in Aggragation
* HTResize: Counter How Many Resize of HashTable
* HashProbe: Counter Probe of HashTable
* HashFailedProbe: Counter Failed Probe of HashTable
* HashTravelLength: Total TravelLength for Probe
* HashCollisions: Counter of HashCollision
3. Del some unecessary code in PartitionHashTable by template
This CL mainly made the following modifications:
1. Delete Invalid MemoryUsed Counter and Add PeakMemUsage in each exec node and datastreamsender
2. Add intent in child execnode profile，make it is easily to know the relationship between execnode
3. Del _is_result_order we not support any more in olap_scan_node.h and olap_scan_node.cpp
4. Add scan_disk method to olap_scanner to fix the counter _num_disks_accessed_counter
5. Now we do not use buffer pool to read and write disk, so annotation eadio counter and
6. Delete the MemUsed counter in exec node.
Record query consumption into fe audit log. Its basic mode of work is as follows, one of instance of parent plan is responsible for accumulating sub plan's consumption and send to it's parent, BE coordinator will get total consumption because it's a single instance.
1. Implement Backend http server using libevent instead of mongoose.
2. Remove Old Hypertable rpc framework, use brpc instead.
3. Change rpc from FE to BE to brpc.
4. Fs broker support HDFS HA.
5. add more metrics to monitor.
6. Lots of bug fixed.
