* support like/not like conjuncts push down to storage engine
* vectorized engine support like/not like conjuncts push down to storage engine
* support both evaluate and evaluate_vec method in like predicate
* reuse remove_pushed_conjuncts and prevent logic error during move function conjuncts
* change #ifndef to pragma once as per comments
* change enable_function_pushdown default to false
Co-authored-by: heguangnan <heguangnan@bytedance.com>
In the strict memory usage mode of STRICT_MEMORY_USE=ON, when the capacity of the vectorized Hash Table is greater than 2G, it starts to grow when 75% of the capacity is satisfied, the memory usage of the vectorized Join becomes 50% of the previous value.
STRICT_MEMORY_USE=ON` expects BE to use less memory, and gives priority to ensuring stability when the cluster memory is limited.
* [improvement](arrow) Avoid parse timezone for each datetime value
Convert arrow batch to doris block is too slow when there are datetime values.
Because we call `TimezoneUtils::find_cctz_time_zone` for each values.
After modify, the tpch-100 q1 with external table cost from 40s -> 9s
Co-authored-by: morningman <morningman@apache.org>
* [Schema Change] support fast add/drop column (#49)
* [feature](schema-change) support fast schema change. coauthor: yixiutt
* [schema change] Using columns desc from fe to read data. coauthor: Lchangliang
* [feature](schema change) schema change optimize for add/drop columns.
1.add uniqueId field for class column.
2.schema change for add/drop columns directly update schema meta
Co-authored-by: yixiutt <yixiu@selectdb.com>
Co-authored-by: SWJTU-ZhangLei <1091517373@qq.com>
[Feature](schema change) fix write and add regression test (#69)
Co-authored-by: yixiutt <yixiu@selectdb.com>
[schema change] be ssupport that delete use newest schema
add delete regression test
fix regression case (#107)
tmp
[feature](schema change) light schema change exclude rollup and agg/uniq/dup key type.
[feature](schema change) fe olapTable maxUniqueId write in disk.
[feature](schema change) add rpc iface for sc add column.
[feature](schema change) add columnsDesc to TPushReq for ligtht sc.
resolve the deadlock when schema change (#124)
fix columns from fe don't has bitmap_index flag (#134)
add update/delete case
construct MATERIALIZED schema from origin schema when insert
fix not vectorized compaction coredump
use segment cache
choose newest schema by schema version when compaction (#182)
[bugfix](schema change) fix ligth schema change problem.
[feature](schema change) light schema change add alter job. (#1)
fix be ut
[bug] (schema change) unique drop key column should not light schema
change
[feature](schema change) add schema change regression-test.
fix regression test
[bugfix](schema change) fix multi alter clauses for light schema change. (#2)
[bugfix](schema change) fix multi clauses calculate column unique id (#3)
modify PushTask process (#217)
[Bugfix](schema change) fix jobId replay cause bdbje exception.
[bug](schema change) fix max col unique id repeatitive. (#232)
[optimize](schema change) modify pendingMaxColUniqueId generate rule.
fix compaction error
* fix be ut
* fix snapshot load core
fix unique_id error (#278)
[refact](fe) remove redundant code for light schema change. (#4)
[refact](fe) remove redundant code for light schema change. (#4)
format fe core
format be core
fix be ut
modify fe meta version
fix rebase error
flush schema into rowset_meta in old table
[refactor](schema change) refact fe light schema change. (#5)
delete the change of schemahash and support get max version schema
* modify for review
* fix be ut
* fix schema change test
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.
In the funciton `TextConverter::write_vec_column`, it should execute the statement `nullable_column->get_null_map_data().push_back(0);` for every row.
Otherwise the null map will get error and cause the core dump.
Define a new file scanner node for hms table in be.
This file scanner node is different from broker scan node as blow:
1. Broker scan node will define src slot and dest slot, there is two memory copy in it: first is from file to src slot
and second from src to dest slot. Otherwise FileScanNode only have one stemp memory copy just from file to dest slot.
2. Broker scan node will read all the filed in the file to src slot and FileScanNode only read the need filed.
3. Broker scan node will convert type into string type for src slot and then use cast to convert to dest slot type,
but FileScanNode will have the final type.
Now FileScanNode is a standalone code, but we will uniform the file scan and broker scan in the feature.
In a vectorized scenario, the query plan will generate a new tuple for the join node.
This tuple mainly describes the output schema of the join node.
Adding this tuple mainly solves the problem that the input schema of the join node is different from the output schema.
For example:
1. The case where the null side column caused by outer join is converted to nullable.
2. The projection of the outer tuple.
SEQ_COL is used on tables with unique key to order data in one transaction(rowset),
when there is only one rowset and the rowset is compacted, rows in the rowset is sorted
and rows with same keys are resolved by compaction, so a scanner sets direct_mode to
optimize read iterator to avoid sorting and aggregating, and iterators does not need SEQ_COL.
However, init_return_columns adds SEQ_COL to return_columns, which is passed to SegmentIterator.
Then segment Iterator would be called via get_next with a block without SEQ_COL, segment iterator
creates columns included in return_columns but not in the block. SEQ_COL is nullable, segment Iterator
does not handle it, so a core dump happen.
Actually, in the above case, segment iterator does not need to read SEQ_COL.
When SEQ_COL is really needed, iterators creates SEQ_COL column in block,
so segment Iterator does not need do create SEQ_COL at all.
