`VFileScanner` will try to append late arrival runtime filters in each loop of `ScannerScheduler::_scanner_scan`. However, `VFileScanner::_get_next_reader` only generates the `_push_down_conjuncts` in the first loop, so the late arrival runtime filters are ignored.
1.Reconstruct the logic of decode to read parquet. The parquet reader first reads the data according to the parquet physical type, and then performs a type conversion.
2.Support hive alter table.
When enable shared scan, all scanners will be created by one instance. When the main instance reach eos and quit, all states of it will be released. But other instances are still possible to get block from those scanners. So we must assure scanners will not be dependent on any states of the main instance after it quit.
In previous, when using file scan node(eq, querying hive table), the max number of scanner for each scan node
will be the `doris_scanner_thread_pool_thread_num`(default is 48).
And if the query parallelism is N, the total number of scanner would be 48 * N, which is too many.
In this PR, I change the logic, the max number of scanner for each scan node
will be the `doris_scanner_thread_pool_thread_num / query parallelism`. So that the total number of scanners
will be up to `doris_scanner_thread_pool_thread_num`.
Reduce the number of scanner can significantly reduce the memory usage of query.
Add 3 counters for ExecNode:
ExecTime - Total execution time(excluding the execution time of children).
OutputBytes - The total number of bytes output to parent.
BlockCount - The total count of blocks output to parent.
For comparison predicate, two arguments must be cast to datetime and push down to storage if either one is date type. This PR disables predicate push-down for this case.
When executing broker load in ASAN mode, BE may crash with error:
```
F20231010 18:18:17.044978 185490 block.cpp:694] Check failed: d.column->use_count() == 1 (3 vs. 1)
*** Check failure stack trace: ***
@ 0x55e9d94c4e46 google::LogMessage::SendToLog()
@ 0x55e9d94c1410 google::LogMessage::Flush()
@ 0x55e9d94c5689 google::LogMessageFatal::~LogMessageFatal()
@ 0x55e9c509f80d doris::vectorized::Block::clear_column_data()
@ 0x55e9b6c170b3 doris::PlanFragmentExecutor::get_vectorized_internal()
@ 0x55e9b6c147e6 doris::PlanFragmentExecutor::open_vectorized_internal()
@ 0x55e9b6c12d9a doris::PlanFragmentExecutor::open()
@ 0x55e9b6c18426 doris::PlanFragmentExecutor::execute()
@ 0x55e9b6945cca doris::FragmentMgr::_exec_actual()
@ 0x55e9b696456c doris::FragmentMgr::exec_plan_fragment()::$_0::operator()()
```
It may happen when there is column maping like:
```
(k1,v2,v3,v4,v5,v6,v7,v8)
set (k2=v4,k3=v4,k4=v4)
```
in load stmt.
Case is covered by Baidu test cases
this pr is aim to update for filter_by_select logic and change delete limit
only support scala type in delete statement where condition
only support column nullable and predict column support filter_by_select logic, because we can not push down non-scala type to storage layer to pack in predict column but do filter logic
1. Add support for Doris to parse ES date field without time zone info. eg: `2023-04-17T23:01:18.151`, this time will be treated as UTC time, since ES assumes that the time zone for time fields without time zones is UTC.
2. Change local time zone convertion from system local time zone to session variable time zone.
* Optimize fetch delete predicates
* Fix incorrect query result when compaction eliminate delete predicates between `NewOlapScanNode::_init_scanners` and `NewOlapScanner::init`
* Fix be ut
* [improvement](scanner_schedule) reduce memory consumption of scanner
1. limit scanner by memory consumptin rather than blocks.
2. scheduler run correcty instread of at lest 1.
