Something the upstream system(eg, hive) may create empty orc file
which only has a header and footer, without schema.
And if we call `_reader->createRowReader()` with selected columns,
it will throw ParserError: Invalid column selected xx.
So here we first check its number of rows and skip these kind of files.
This is only a fix for non-vec load, for vec load, it use arrow scanner
to read orc file, which does not have this problem.
* [Refactor][Bug-Fix][Load Vec] Refactor code of basescanner and vjson/vparquet/vbroker scanner
1. fix bug of vjson scanner not support `range_from_file_path`
2. fix bug of vjson/vbrocker scanner core dump by src/dest slot nullable is different
3. fix bug of vparquest filter_block reference of column in not 1
4. refactor code to simple all the code
It only changed vectorized load, not original row based load.
Co-authored-by: lihaopeng <lihaopeng@baidu.com>
Early Design Documentation: https://shimo.im/docs/DT6JXDRkdTvdyV3G
Implement a new way of memory statistics based on TCMalloc New/Delete Hook,
MemTracker and TLS, and it is expected that all memory new/delete/malloc/free
of the BE process can be counted.
Modify the implementation of MemTracker:
1. Simplify a lot of useless logic;
2. Added MemTrackerTaskPool, as the ancestor of all query and import trackers, This is used to track the local memory usage of all tasks executing;
3. Add cosume/release cache, trigger a cosume/release when the memory accumulation exceeds the parameter mem_tracker_consume_min_size_bytes;
4. Add a new memory leak detection mode (Experimental feature), throw an exception when the remaining statistical value is greater than the specified range when the MemTracker is destructed, and print the accurate statistical value in HTTP, the parameter memory_leak_detection
5. Added Virtual MemTracker, cosume/release will not sync to parent. It will be used when introducing TCMalloc Hook to record memory later, to record the specified memory independently;
6. Modify the GC logic, register the buffer cached in DiskIoMgr as a GC function, and add other GC functions later;
7. Change the global root node from Root MemTracker to Process MemTracker, and remove Process MemTracker in exec_env;
8. Modify the macro that detects whether the memory has reached the upper limit, modify the parameters and default behavior of creating MemTracker, modify the error message format in mem_limit_exceeded, extend and apply transfer_to, remove Metric in MemTracker, etc.;
Modify where MemTracker is used:
1. MemPool adds a constructor to create a temporary tracker to avoid a lot of redundant code;
2. Added trackers for global objects such as ChunkAllocator and StorageEngine;
3. Added more fine-grained trackers such as ExprContext;
4. RuntimeState removes FragmentMemTracker, that is, PlanFragmentExecutor mem_tracker, which was previously used for independent statistical scan process memory, and replaces it with _scanner_mem_tracker in OlapScanNode;
5. MemTracker is no longer recorded in ReservationTracker, and ReservationTracker will be removed later;
This PR mainly changes:
1. Help to Cancel the load job ASAP when encounter unqualified data.
Solution is described in #6318 .
Also replace some std::stringstream with fmt::memory_buffer to avoid performance issues.
2. fix a NPE bug when create user with empty host
3. fix compile warning after rebasing the master(vectorization)
The broker scan node has two tuple descriptors:
One is dest tuple and the other is src tuple.
The src tuple is used to read the lines of the original file,
and the dest tuple is used to save the converted lines.
The preceding filter is executed on the src tuple, so src tuple descriptor should be used
to initialize the filter expression
Users can directly query the data in the hive table in Doris, and can use join to perform complex queries without laboriously importing data from hive.
Main changes list below:
FE:
Extend HiveScanNode from BrokerScanNode
HiveMetaStoreClientHelper communicate with HIVE and HDFS.
BE:
Treate HiveScanNode as BrokerScanNode, treate HiveTable as BrokerTable.
broker_scanner.cpp: suppot read column from HDFS path.
orc_scanner.cpp: support read hdfs file.
POM:
Add hive.version=2.3.7, hive-metastore and hive-exec
Add hadoop.version=2.8.0, hadoop-hdfs
Upgrade commons-lang to fix incompatiblity of Java 9 and later.
Thrift:
Add THiveTable
Add read_by_column_def in TBrokerRangeDesc
* [doris-1008] support backup and restore directly to cloud storage via aws s3 protocol
* Internal][S3DirectAccess] Support backup,restore,load,export directlyconnect to s3
1. Support load and export data from/to s3 directly.
2. Add a config to auto convert broker access to s3 acces when available
Change-Id: Iac96d4b3670776708bc96a119ff491db8cb4cde7
(cherry picked from commit 2f03832ca52221cc7436069b96c45c48c4bc7201)
* [Internal][S3DirectAccess] File path glob compatible with broker
Change-Id: Ie55e07a547aa22c6fa8d432ca926216c10384e68
(cherry picked from commit d4fb25544c0dc06d23e1ada571ec3f8edd4ba56f)
* [internal] [doris-1008] fix log4j class not found
Change-Id: I468176aca0d821383c74ee658d461aba9e7d5be3
(cherry picked from commit 029adaa9d6ded8503acbd6644c1519456f3db232)
* add poms
Co-authored-by: yangzhengguo01 <yangzhengguo01@baidu.com>
Support conditional filtering of original data in broker load and routine load
eg:
```
LOAD LABEL `label1`
(
DATA INFILE ('bos://cmy-repo/1.csv')
INTO TABLE tbl2
COLUMNS TERMINATED BY '\t'
(event_day, product_id, ocpc_stage, user_id)
SET (
ocpc_stage = ocpc_stage + 100
)
PRECEDING FILTER user_id = 1381035
WHERE ocpc_stage > 30
)
...
```
Stream load should read all the data completely before parsing the json.
And also add a new BE config streaming_load_max_batch_read_mb
to limit the data size when loading json data.
Fix the bug of loading empty json array []
Add doc to explain some certain case of loading json format data.
Fix: #4124
Result may error when ORC load negative decimal value
When load negative decimal which has pre zero , the result is wrong.
eg -0.0014, the orc result is -14(precision ... 0)
The timestamp value load from orc file is error, the value has an offset with hive and spark.
Becuase the time zone of orc's timestamp is stored inside orc's stripe information, so the timestamp obtained here is an offset timestamp, so parse timestamp with UTC is actual datetime literal.
