1. change jsonb_extract_string behavior: convert to string instead of NULL if the type of json path is not string
2. move jsonb tutorial doc to JSONB data type
#13195 left some unresolved issues. One of them is that some BE unit tests fail.
This PR fixes this issue. Now, we can run the command ./run-be-ut.sh --run successfully on macOS.
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`.
Read predicate columns firstly, and use VExprContext(push-down predicates)
to generate the select vector, which is then applied to read the non-predicate columns.
The data in non-predicate columns may be skipped by select vector, so the value-decode-time can be reduced.
If a whole page can be skipped, the decompress-time can also be reduced.
mem tracker can be logically divided into 4 layers: 1)process 2)type 3)query/load/compation task etc. 4)exec node etc.
type includes
enum Type {
GLOBAL = 0, // Life cycle is the same as the process, e.g. Cache and default Orphan
QUERY = 1, // Count the memory consumption of all Query tasks.
LOAD = 2, // Count the memory consumption of all Load tasks.
COMPACTION = 3, // Count the memory consumption of all Base and Cumulative tasks.
SCHEMA_CHANGE = 4, // Count the memory consumption of all SchemaChange tasks.
CLONE = 5, // Count the memory consumption of all EngineCloneTask. Note: Memory that does not contain make/release snapshots.
BATCHLOAD = 6, // Count the memory consumption of all EngineBatchLoadTask.
CONSISTENCY = 7 // Count the memory consumption of all EngineChecksumTask.
}
Object pointers are no longer saved between each layer, and the values of process and each type are periodically aggregated.
other fix:
In [fix](memtracker) Fix transmit_tracker null pointer because phamp is not thread safe #13528, I tried to separate the memory that was manually abandoned in the query from the orphan mem tracker. But in the actual test, the accuracy of this part of the memory cannot be guaranteed, so put it back to the orphan mem tracker again.
PR(https://github.com/apache/doris/pull/13404) introduced that ParquetReader
will break up batch insertion when encountering null values, which leads to the bad performance
compared to OrcReader.
So this PR has pushed null map into decode function, reduce the time of virtual function call
when encountering null values.
Further more, reuse hdfsFS among file readers to reduce the time of building connection to hdfs.
* [bugfix](VecDateTimeValue) eat the value of microsecond in function from_date_format_str
* add sql based regression test
Co-authored-by: xiaojunjie <xiaojunjie@baidu.com>
1. Fix issue #13115
2. Modify the method of `get_next_block` or `GenericReader`, to return "read_rows" explicitly.
Some columns in block may not be filled in reader, if the first column is not filled, use `block->rows()` can not return real row numbers.
3. Add more checks for broker load test cases.
Add more detail profile for ParquetReader:
ParquetColumnReadTime: the total time of reading parquet columns
ParquetDecodeDictTime: time to parse dictionary page
ParquetDecodeHeaderTime: time to parse page header
ParquetDecodeLevelTime: time to parse page's definition/repetition level
ParquetDecodeValueTime: time to decode page data into doris column
ParquetDecompressCount: counter of decompressing page data
ParquetDecompressTime: time to decompress page data
ParquetParseMetaTime: time to parse parquet meta data
This change serves the following purposes:
1. use ScanPredicate instead of TCondition for external table, it can reuse old code branch.
2. simplify and delete some useless old code
3. use ColumnValueRange to save predicate
Add `JSON` datatype, following features are implemented by this PR:
1. `CREATE` tables with `JSON` type columns
2. `INSERT` values containing `JSON` type value stored in `String`, which is represented as binary format(AKA `JSONB`) at BE
3. `SELECT` JSON columns
Detail design refers [DSIP-016: Support JSON type](https://cwiki.apache.org/confluence/display/DORIS/DSIP-016%3A+Support+JSON+type)
* add JSONB data storage format type
* fix JsonLiteral resolve bug
* add DataTypeJson case in data_type_factory
* add JSON syntax check in FE
* add operators for jsonb_document, currently not support comparison between any JSON type value
* add ColumnJson and DataTypeJson
* add JsonField to store JsonValue
* add JsonValue to convert String JSON to BINARY JSON and JsonLiteral case for vliteral
* add push_json for MysqlResultWriter
* JSON column need no zone_map_index
* Revert "JSON column need no zone_map_index"
This reverts commit f71d1ce1ded9dbae44a5d58abcec338816b70d79.
* add JSON writer and reader, ignore zone-map for JSON column
* add json_to_string for DataTypeJson
* add olap_data_convertor for JSON type
* add some enum
* add OLAP_FIELD_TYPE_JSON type, FieldTypeTraits for it and corresponding cases or functions
* fix column_json offsets overflow bug, format code
* remove useless TODOs, add CmpType cases for JSON type
* add license header
* format license
* format be codes
* resolve rebase master conflicts
* fix bugs for CREATE and meta related code
* refactor JsonValue constructors, add fe JSON cases and fix some bugs, reformat codes
* modification be codes along code review advice
* fix rebase conflicts with master
* add unit test for json_value and column_json
* fix rebase error
* rename json to jsonb
* fix some data convert bugs, set Mysql type to JSON
