When you create the Uniq table, you can specify the mapping of sequence column to other columns.
You no longer need to specify mapping column when importing.
Invalidate catalog/db/table cache when doing
refresh catalog/db/table.
Tested table with 10000 partitions. The refresh operation will cost about 10-20 ms.
Collect HMS external table statistic information through external metadata.
Insert the result into __internal_schema.column_statistics using insert into SQL.
Add regression test for external hive orc table. This PR has generated all basic types support by hive orc, and create a hive external table to touch them in docker environment.
Functions to be tested:
1. Ensure that all types are parsed correctly
2. Ensure that the null map of all types are parsed correctly
3. Ensure that the `SearchArgument` of `OrcReader` works well
4. Only select partition columns
If a table already been analyzed, then we analyze it again, the new statistics would larger than expected since the incremental would contain the values from table level statistics since the SQL lack the predication for the nullability of part_id
In previous implementation, when doing list partition prune, we need to generation `rangeToId`
every time we doing prune.
But `rangeToId` is actually a static data that should be create-once-use-every-where.
So for hive partition, I created the `rangeToId` and all other necessary data structures for partition prunning
in partition cache, so that we can use it directly.
In my test, the cost of partition prune for 10000 partitions reduce from 8s -> 0.2s.
Aslo add "partition" info in explain string for hive table.
```
| 0:VEXTERNAL_FILE_SCAN_NODE |
| predicates: `nation` = '0024c95b' |
| inputSplitNum=1, totalFileSize=4750, scanRanges=1 |
| partition=1/10000 |
| numNodes=1 |
| limit: 10 |
```
Bug fix:
1. Fix bug that es scan node can not filter data
2. Fix bug that query es with predicate like `where substring(test2,2) = "ext2";` will fail at planner phase.
`Unexpected exception: org.apache.doris.analysis.FunctionCallExpr cannot be cast to org.apache.doris.analysis.SlotRef`
TODO:
1. Some problem when quering es version 8: ` Unexpected exception: Index: 0, Size: 0`, will be fixed later.
1. split DateLiteral and DateTimeLiteral into V1 and V2
2. add a type coercion about DateLikeType: DateTimeV2Type > DateTimeType > DateV2Type > DateType
3. add a rule to remove unnecessary CAST on DateLikeType in ComparisonPredicate
PR https://github.com/apache/doris/pull/13917 has supported lazy read for non-predicate columns in ParquetReader,
but can't trigger lazy read when predicate columns are partition or missing columns.
This PR support such case, and fill partition and missing columns in `FileReader`.
Before this pr, if we try to load ORC file with native list(or array) type data, the be will crash.
Because complex types in ORC file include multi real columns, so we need to filter columns by column names.
Otherwise we could not read all columns we need.
Now arrow release-7.0.0 only support create stripe reader by column index, so we patch it to support create stripe reader by column names.
Co-authored-by: cambyzju <zhuxiaoli01@baidu.com>
In concurrent load, some publish timeout happens occasionally. This is
cause by meta lock hold by other thread so publish add increase rowset
hang for several seconds.
StorageEngine::start_delete_unused_rowset will hold gc_mutex and it cost
a lot of time, so that add_used_rowset wait lock, and compaction modify_rowset
or other tablet method will hold meta_lock and call add_unused_rowset which
will make meta_lock occupied for too long, finally makes publish timeout.
In this pr, I copy unused_rowsets in lock and delete these rowset without lock,
makes gc_mutex more lightweight so meta lock can be acquired immediately in publish thread.
My test shows that no publish timeout in concurrent stream load.
Many feature in fe session variable is disabled by default. So that these features do not pass github workflow test actually. I add a fuzzy test config in fe.conf. If it is set to true, then we will use fuzzy session variables for every connection so that every feature developer could set fuzzy values for its config.
Co-authored-by: yiguolei <yiguolei@gmail.com>
1. Reduce the configuration options for statistics framework, and add comment for those rest.
2. Move the logic of creation of analysis job to the `StatisticsRepository` which defined all the functions used to interact with internal statistics table
3. Move AnalysisJobScheduler to the statistics package
4. Support display and injections manually for statistics
boost::stacktrace::stacktrace() has memory leak, so use glog internal func to print stacktrace.
The reason for the memory leak of boost::stacktrace is that a state is saved in the thread local of each thread but not actively released. The test found that each thread leaked about 100M after calling boost::stacktrace.
refer to:
boostorg/stacktrace#118boostorg/stacktrace#111
in origin algorithm, the penalty is abs(leftRowCount - RightRowCount). this will make some right deep tree escape from penalty， because the substraction is almost zero. Penalty by RightRowCount can avoid this escape.
1. when we translate colocated join, we lost RF information attached to the right child, and hence BE will not generate those RFs.
2. when a RF is useless, we prune all RFs on the scan node by mistake
Fix three bugs:
1. The EOF of lazy read columns may be not equal to the EOF of predicate columns.
(for example: If the predicate column has 3 pages, with 400 rows for each, but the last page
is filtered by page index. When batch_size=992, the EOF of predicate column is true.
However, we should set batch_size=800 for lazy read column, so the EOF of lazy read column may be false.)
2. The array column does not count the number of nulls
3. Generate wrong NullMap for array column
