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
Support implement UDF through GRPC protocol. This brings several benefits:
1. The udf implementation language is not limited to c++, users can use any familiar language to implement udf
2. UDF is decoupled from Doris, udf will not cause doris coredump, udf computing resources are separated from doris, and doris services are not affected
But RPC's UDF has a fixed overhead, so its performance is much slower than C++ UDF, especially when the amount of data is large.
Create function like
```
CREATE FUNCTION rpc_add(INT, INT) RETURNS INT PROPERTIES (
"SYMBOL"="add_int",
"OBJECT_FILE"="127.0.0.1:9999",
"TYPE"="RPC"
);
```
Function service need to implement `check_fn` and `fn_call` methods
Note:
THIS IS AN EXPERIMENTAL FEATURE, THE INTERFACE AND DATA STRUCTURE MAY BE CHANGED IN FUTURE !!!
This PR mainly changes:
1. Fix bug when enable `transfer_data_by_brpc_attachment`
In `data_stream_sender`, we will send a serialized PRowBatch data to multiple Channels.
And if `transfer_data_by_brpc_attachment` is enabled, we will mistakenly clear the data in PRowBatch
after sending PRowBatch to the first Channel.
As a result, the following Channel cannot receive the correct data, causing an error.
So I use a separate buffer instead of `tuple_data` in PRowBatch to store the serialized data
and reuse it in multiple channels.
2. Fix bug that the the offset in serialized row batch may overflow
Use int64 to replace int32 offset. And for compatibility, add a new field `new_tuple_offsets` in PRowBatch.