As described in #8120, a large number of rowset meta remain in rocksdb, which may be generated by:
1. drop tablet
The drop tablet task itself just sets the state of the tablet meta to `SHUTDOWN`
and moves the tablet to `_shutdown_tablets` vector then the background thread
will periodically clean up the tablet in `_shutdown_tablets` (that's why even if we execute
the `drop table xx force`, the tablet may be delayed by 10min to 1 hour before it goes into the trash directory).
The regular cleanup thread in the background saves the complete tablet meta as a `.hdr` file
when deleting the tablet, and then moves it to the trash directory along with the data files.
But this process does not process the rowset meta (before doing the checkpoint of the tablet meta,
the rowset meta is stored independently in rocksdb as a key-value). So this results in a residual rowset meta.
2. clone task
The clone task may migrate back and forth between BEs, which may result in a situation
where the tablet id is the same on the BE, but the tablet uuid is different.
This leads to some rowset meta can not find the corresponding tablet, but there is no thread
to process these rowsets, and eventually lead to residual.
This is PR, I handled it in the regular cleanup thread with method `_clean_unused_rowset_metas()`.
I did not delete rowset meta along with "drop tablet" task, because "drop tablet" itself is not a synchronous operation.
It also relies on a background thread to clean up the tablet periodically.
So I put this operation in the background cleanup thread.
if you want test storage layer vectorized, you need modify some codes to let vectorized storage layer working,
it's boring work.
now, you can just change one code (redefine the macro STORAGE_LAYER_VECTORIZED_SWITCH as 1 or 0),
this gets more convenient.
Support thread pool per disk for scanners to prevent pool performance from some high ioutil disks happening
key point:
1. each disk has a thread pool for scanners
2. whenever a thread pool of one disk runs out of local work, tasks can be retrieved from other threads(disks). This is done round-robin.
performance testing:
vec version: 25% faster than single thread pool in a high io util disk test case
normal version: 8% faster than single thread pool in a high io util disk test case
1. Fix the problem of BE crash caused by destruct sequence. (close#8058)
2. Add a new BE config `compaction_task_num_per_fast_disk`
This config specify the max concurrent compaction task num on fast disk(typically .SSD).
So that for high speed disk, we can execute more compaction task at same time,
to compact the data as soon as possible
3. Avoid frequent selection of unqualified tablet to perform compaction.
4. Modify some log level to reduce the log size of BE.
5. Modify some clone logic to handle error correctly.
1. Support some function alias of mod/fmod, adddate/add_data
2. Support some function of multi args: week, yearweek
3. Fix bug of multi args function call the DATETIME type not effective in DATE type
Sometimes BE is build on a machine with SIMD instruction such as AVX2.
But the BE binary will be copied to a machine without AVX2. It will crashed without any error message.
This PR will check the required SIMD instructions and print error messages during startup.
The two phase batch commit means：
During Stream load, after data is written, the message will be returned to the client,
the data is invisible at this point and the transaction status is PRECOMMITTED.
The data will be visible only after COMMIT is triggered by client.
1. User can invoke the following interface to trigger commit operations for transaction：
curl -X PUT --location-trusted -u user:passwd -H "txn_id:txnId" -H "txn_operation:commit" \
http://fe_host:http_port/api/{db}/_stream_load_2pc
or
curl -X PUT --location-trusted -u user:passwd -H "txn_id:txnId" -H "txn_operation:commit" \
http://be_host:webserver_port/api/{db}/_stream_load_2pc
2.User can invoke the following interface to trigger abort operations for transaction：
curl -X PUT --location-trusted -u user:passwd -H "txn_id:txnId" -H "txn_operation:abort" \
http://fe_host:http_port/api/{db}/_stream_load_2pc
or
curl -X PUT --location-trusted -u user:passwd -H "txn_id:txnId" -H "txn_operation:abort" \
http://be_host:webserver_port/api/{db}/_stream_load_2pc
1. set both `tuple_offsets` and `new_tuple_offsets` in PRowBatch for compatibility
2. set FE config `repair_slow_replica` default to false
Avoid impacting the load process after upgrading.
Eg, if there are only 2 replicas, one is with high version count. After upgrade,
that replica will be set to bad, so that the load process will be stopped
because only 1 replica is alive.
3. Fix a bug that NodeChannel may be blocked at `close_wait()`
Forget to set `add_batch_finish` flag after the last rpc finished.
4. Fix a NPE of RoutineLoadScheduler
1. Added http interface return example in table-schema-action.md.
2. Correct typos in the document in error.md.
3. Modify the content of the code comments in the text_converter.hpp file.
fix ltrim result may incorrect in some case
according to https://gcc.gnu.org/onlinedocs/gcc/Other-Builtins.html
Built-in Function: int __builtin_cl/tz (unsigned int x)
If x is 0, the result is undefined.
So we handle the case of 0 separately
this function return different between gcc and clang when x is 0
1. reuse Schema to avoid copying, because clone Schema will generate a lot of sub Field object
2. call interface provided by Block to reduce code lines
This PR mainly changes:
1. Change the define of PBlock
The new PBlock consists of a set of PColumnMeta and a binary buffer.
The PColumnMeta records the metadata information of all columns in the Block,
while the buffer stores the serialized binary data of all columns.
2. Refactor the serialize/deserialize method of data type
Rewrite the `serialize()/deserialize()` of IDataType. And also add
a new method `get_uncompressed_serialized_bytes()` to get the total length
of uncompressed serialized data of a column.
3. Rewrite the serialize/deserialize method of Block
Now, when serializing a Block to PBlock, it will first get the total length
of uncompressed serialized data of all columns in this Block, and then allocate
the memory to write the serialized data to the buffer.
4. Use brpc attachment to transmit the serialized column data
