The performance of ClickBench Q30 is affected by batch_size:
| batch_size | 1024 | 4096 | 20480 |
| -- | -- | -- | -- |
| Q30 query time | 2.27 | 1.08 | 0.62 |
Because aggregation operator will create a new result block for each batch block, and Q30 has 90 columns, which is time-consuming. Larger batch_size will decrease the number of aggregation blocks, so the larger batch_size will improve performance.
Doris internal reader will read at least 4064 rows even if batch_size < 4064, so this PR keep the process of reading external table the same as internal table.
Read parquet file failed:
```
ERROR 1105 (HY000): errCode = 2, detailMessage = [INTERNAL_ERROR]Read parquet file xxx failed, reason = [CORRUPTION]The number of rows are not equal among parquet columns
```
This error may be thrown when reading non-predicate columns in lazy-read, for example:
A row group with 1000 rows has tow non-predicate columns.
Column A has one page, Column B has two pages with 500 rows for each page.
The read range of `ParquetColumnReader` is [0, 400), and the rows between [0, 450) are all filtered by predicate columns.
So column A can skip the first page, and reach the EOF, while column B can also skip the first page, but doesn't read the EOF.
Support set skip line number for stream load to load csv file.
Usage `-H skip_lines:number`:
```
curl --location-trusted -u root: -T test.csv -H skip_lines:5 -XPUT http://127.0.0.1:8030/api/testDb/testTbl/_stream_load
```
Skip line number also can be used in mysql load as below:
```sql
LOAD DATA
LOCAL
INFILE '${mysql_load_skip_lines}'
INTO TABLE ${tableName}
COLUMNS TERMINATED BY ','
IGNORE 2 LINES
PROPERTIES ("auth" = "root:");
```
forbidden to_quantile_state temporary to avoid core dump. waiting for [Feature] support QuantileState in vectorized engine #15868 get the ball rolling on implementation.
BufferControlBlock may block all fragment handle threads leads to be out of work
modify include:
BufferControlBlock cancel after max timeout
StmtExcutor notify be to cancel the fragment when unexcepted occur
more details see issue #16203
External hms catalog table column names in doris are all in lower case,
while iceberg table or spark-sql created hive table may contain upper case column name,
which will cause empty query result. This pr is to fix this bug.
1. For parquet file, transfer all column names to lower case while parse parquet metadata.
2. For orc file, store the origin column names and lower case column names in two vectors, use the suitable names in different cases.
3. FE side, change the column name back to the origin column name in iceberg while doing convertToIcebergExpr.
remove json functions code
remove string functions code
remove math functions code
move MatchPredicate to olap since it is only used in storage predicate process
remove some code in tuple, Tuple structure should be removed in the future.
remove many code in collection value structure, they are useless
This pr #15836 change the way to use parquet reader by first open() then init_reader().
But we forgot to call open() for iceberg delete file, which cause coredump.
