Issue Number: close #xxx
when cal array hash, elem size is not need to seed hash
hash = HashUtil::zlib_crc_hash(reinterpret_cast<const char*>(&elem_size),
sizeof(elem_size), hash);
but we need to be care [[], [1]] vs [[1], []], when array nested array , and nested array is empty, we should make hash seed to
make difference
2. use range for one hash value to avoid virtual function call in loop.
which double the performance. I make it in ut
column: array[int64]
50 rows , and single array has 10w elements
we do not Implement any hash functions in array/map/struct column , so we use sql like this will make be core
select * from (
select
bdp.nc_num,
collect_list(distinct(bd.catalog_name)) as catalog_name,
material_qty
from
dataease.bu_delivery_product bdp
left join dataease.bu_trans_transfer btt on bdp.delivery_product_id = btt.delivery_product_id
left join dataease.bu_delivery bd on bdp.delivery_id = bd.delivery_id
where
bd.val_status in ('10', '20', '30', '90')
and bd.delivery_type in (0, 1, 2)
group by
nc_num,
material_qty
union
ALL
select
bdp.nc_num,
collect_list(distinct(bd.catalog_name)) as catalog_name,
material_qty
from
dataease.bu_trans_transfer btt
left join dataease.bu_delivery_product bdp on bdp.delivery_product_id = btt.delivery_product_id
left join dataease.bu_delivery bd on bdp.delivery_id = bd.delivery_id
where
bd.val_status in ('10', '20', '30', '90')
and bd.delivery_type in (0, 1, 2)
group by
nc_num,
material_qty
) aa;
core :
/home/zcp/repo_center/doris_master/doris/be/src/olap/rowset/segment_v2/column_reader.cpp:895:21: runtime error: load of value 423208544, which is not a valid value for type 'doris::ReaderType'
/home/zcp/repo_center/doris_master/doris/be/src/vec/columns/column_decimal.cpp:260:33: runtime error: load of misaligned address 0x7fa3348b301c for type 'int64_t' (aka 'long'), which requires 8 byte alignment
/home/zcp/repo_center/doris_master/doris/be/src/olap/block_column_predicate.cpp:82:24: runtime error: variable length array bound evaluates to non-positive value 0
/home/zcp/repo_center/doris_master/doris/be/src/vec/columns/column_string.h:225:26: runtime error: null pointer passed as argument 2, which is declared to never be null
Currently, there are some useless includes in the codebase. We can use a tool named include-what-you-use to optimize these includes. By using a strict include-what-you-use policy, we can get lots of benefits from it.
Currently, when filtering a column, a new column will be created to store the filtering result, which will cause some performance loss。 ssb-flat without pushdown expr from 19s to 15s.
Issue Number: close#16351
Dynamic schema table is a special type of table, it's schema change with loading procedure.Now we implemented this feature mainly for semi-structure data such as JSON, since JSON is schema self-described we could extract schema info from the original documents and inference the final type infomation.This speical table could reduce manual schema change operation and easily import semi-structure data and extends it's schema automatically.
# Proposed changes
Issue Number: close#6238
Co-authored-by: HappenLee <happenlee@hotmail.com>
Co-authored-by: stdpain <34912776+stdpain@users.noreply.github.com>
Co-authored-by: Zhengguo Yang <yangzhgg@gmail.com>
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Co-authored-by: zhangstar333 <87313068+zhangstar333@users.noreply.github.com>
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Co-authored-by: Zeno Yang <1521564989@qq.com>
Co-authored-by: Wang Shuo <wangshuo128@gmail.com>
Co-authored-by: zhoubintao <35688959+zbtzbtzbt@users.noreply.github.com>
Co-authored-by: Gabriel <gabrielleebuaa@gmail.com>
Co-authored-by: xinghuayu007 <1450306854@qq.com>
Co-authored-by: weizuo93 <weizuo@apache.org>
Co-authored-by: yiguolei <guoleiyi@tencent.com>
Co-authored-by: anneji-dev <85534151+anneji-dev@users.noreply.github.com>
Co-authored-by: awakeljw <993007281@qq.com>
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Co-authored-by: Cui Kaifeng <48012748+azurenake@users.noreply.github.com>
## Problem Summary:
### 1. Some code from clickhouse
**ClickHouse is an excellent implementation of the vectorized execution engine database,
so here we have referenced and learned a lot from its excellent implementation in terms of
data structure and function implementation.
We are based on ClickHouse v19.16.2.2 and would like to thank the ClickHouse community and developers.**
The following comment has been added to the code from Clickhouse, eg:
// This file is copied from
// https://github.com/ClickHouse/ClickHouse/blob/master/src/Interpreters/AggregationCommon.h
// and modified by Doris
### 2. Support exec node and query:
* vaggregation_node
* vanalytic_eval_node
* vassert_num_rows_node
* vblocking_join_node
* vcross_join_node
* vempty_set_node
* ves_http_scan_node
* vexcept_node
* vexchange_node
* vintersect_node
* vmysql_scan_node
* vodbc_scan_node
* volap_scan_node
* vrepeat_node
* vschema_scan_node
* vselect_node
* vset_operation_node
* vsort_node
* vunion_node
* vhash_join_node
You can run exec engine of SSB/TPCH and 70% TPCDS stand query test set.
### 3. Data Model
Vec Exec Engine Support **Dup/Agg/Unq** table, Support Block Reader Vectorized.
Segment Vec is working in process.
### 4. How to use
1. Set the environment variable `set enable_vectorized_engine = true; `(required)
2. Set the environment variable `set batch_size = 4096; ` (recommended)
### 5. Some diff from origin exec engine
https://github.com/doris-vectorized/doris-vectorized/issues/294
## Checklist(Required)
1. Does it affect the original behavior: (No)
2. Has unit tests been added: (Yes)
3. Has document been added or modified: (No)
4. Does it need to update dependencies: (No)
5. Are there any changes that cannot be rolled back: (Yes)
