Support to decode nested array column in parquet reader:
1. FE should generate the right nested column type. FE doesn't check the nesting depth and legality, like map\<array\<int\>, int\>.
2. `ParquetColumnReader` has removed the filtering of page index to support nested array type.
It's too difficult to skip values in nested complex types. Maybe we should support the filtering of page index and lazy read in later PR.
3. `ExternalFileScanNode` has a bug in creating default value expression.
4. Maybe it's slow to read repetition levels in a while loop. I'll optimize this in next PR.
5. Array column has temporary `SchemaElement` in its thrift definition,
we have removed them and keep its parent in former implementation.
The remaining parent should inherit the repetition and definition level of its child.
Improve performance of parquet reader filter calculation.
- Use `filter_data` instead of `(*filter_ptr)` to merge filter to improve performance.
- Use mutable column filter func instead of original new column filter func which introduced by #16850.
- Avoid column ref-count increasing which caused unnecessary copying by passing column pointer ref.
Sense io error.
Retry query when io error.
Greylist: When finds one disk is completely broken, or the diff of tablet number in BE and FE meta is too large,reduce the query priority of the BE.
Fix Redhat 4.x OS /proc/meminfo has no MemAvailable, disable MemAvailable to control memory.
vm_rss_str and mem_available_str recorded when gc is triggered, to avoid memory changes during gc and cause inaccurate logs.
join probe catch bad_alloc, this may alloc 64G memory at a time, avoid OOM.
Modify document doris_be_all_segments_num and doris_be_all_rowsets_num names.
Issue Number: close#17003
## Problem summary
The linker couldn't find some symbols because the implementation of a template member function doris::vectorized::Decoder::init_decimal_converter is missing in the header file in which the corresponding declaration is placed.
This code in VCollectIterator::build_heap is possible to cause double free if cumu_iter->init() fails and returns early, becuase some LevelIterator* exists both in VCollectIterator::_children and cumu_iter::_children.
In previous implementation, when querying tvf, FE will get schema from BE.
And BE will try to open the first file to get its schema info, but for orc or parquet format,
if the file is empty, it will return error.
But even for an empty file, we can still get schema info from file's footer.
So we should handle the empty file to get schema info correctly.
Also modify the catalog doc to add some FAQ.
There are 2 kinds for scanner thread pool, local and remote.
Local is for local file read, specially for olap scanner.
Remote is for other external data source, such as file scanner, jdbc scanner.
This PR mainly changes:
For olap scanner, use cold or hot rowset to decide whether to use local or remote pool.
For other scanner, user remote pool by default.
Add a new BE config doris_max_remote_scanner_thread_pool_thread_num, default is 512,
indicate the max thread number of the remote scanner thread pool
This will alleviate the problem of interaction between olap queries with load job and external queries.
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.
1. Fixed a problem with histogram statistics collection parameters.
2. Solved the problem that it takes a long time to collect histogram statistics.
TODO: Optimize histogram statistics sampling method and make the sampling parameters effective.
The problem is that the histogram function works as expected in the single-node test, but doesn't work in the multi-node test. In addition, the performance of the current support sampling to collect histogram is low, resulting in a large time consumption when collecting histogram information.
Fixed the parameter issue and temporarily removed support for sampling to speed up the collection of histogram statistics.
Will next support sampling to collect histogram information.
The SQL `SELECT nationkey FROM regression_test_query_p0_limit.tpch_tiny_nation ORDER BY nationkey DESC LIMIT 5`
make be core dump since dereference a nullptr `read_orderby_key_columns in VCollectIterator::_topn_next`,
triggered by skipping _colname_to_value_range init in #16818 .
This PR makes two changes:
1. avoid read_orderby_key_columns nullptr in TabletReader::_init_orderby_keys_param
2. return error if read_orderby_key_columns is nullptr unexpected in VCollectIterator::_topn_next to avoid core dump
1、support stream load with json, csv format for map
2、fix olap convertor when compaction action in map column which has null
3、support select outToFile for map
4、add some regression-test
The background is described in this issue: #15723,
where users used Apache Druid to satisfy such lambada requirements before.
We will not make Doris dropping data not belonged to current time window automatically like Druid,
which is not flexible. We demand a ability to support mutable/immutable partition, the PR works this way:
1. Support mutable property for a partition.
2. The mutable property of a partition is passed from FE to BE in a load procedure
3. If a record's partition is immutable, we mark this row as "un selected" which will not be included in computation of 'max_filter_ratio',
so that data write to immutable partition will be neglected and not cause load failure.
Use Example:
1. Add immutable partition or modify an partition to be immutable:
- alter table test_tbl add [temporary] partition xxx values less than ('xxx') ('mutable' = 'true');
- alter table test_tbl modify partition xx set ('mutable' = 'false');
2. Write 5 records into table, two of then belongs to immutable partition
Introduced a new function non_nullable to BE, which can extract concrete data column from a nullable column. If the input argument is already not a nullable column, raise an error.
Logic in function VCollectIterator::build_heap is not robust, which may cause memory leak:
Level1Iterator* cumu_iter = new Level1Iterator(
cumu_children, _reader, cumu_children.size() > 1, _is_reverse, _skip_same);
RETURN_IF_NOT_EOF_AND_OK(cumu_iter->init());
std::list<LevelIterator*> children;
children.push_back(*base_reader_child);
children.push_back(cumu_iter);
_inner_iter.reset(
new Level1Iterator(children, _reader, _merge, _is_reverse, _skip_same));
cumu_iter will be leaked if cumu_iter->init()); is not success.
Set column names from path to lower case in case-insensitive case.
This is for Iceberg columns from path. Iceberg columns are case sensitive,
which may cause error for table with partitions.
To support schema evolution, Iceberg add schema information to Parquet file metadata.
But for early iceberg version, it doesn't write any schema information to Parquet file.
This PR is to support read parquet without schema information.
Now we reuse buffer pool for broadcast shuffle on pipeline engine. This PR ensures that a pipeline with a broadcast shuffle sink will not be scheduled if there are no available buffer in the buffer pool
Support IPV6 in Apache Doris, the main changes are:
1. enable binding to IPV6 address if network priority in config file contains an IPV6 CIDR string
2. BRPC and HTTP support binding to IPV6 address
3. BRPC and HTTP support visiting IPV6 Services
Hive 1.x may write orc file with internal column name (_col0, _col1, _col2...).
This will cause query result be NULL because column name in orc file doesn't match
with column name in Doris table schema. This pr is to support query Hive orc files with internal column names.
For now, we haven't see any problem in Parquet file, will send new pr to fix parquet if any problem show up in the future.
* [improvement](block exception safe) make block queue exception safe
This is part of exception safe: #16366.
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Co-authored-by: yiguolei <yiguolei@gmail.com>
