Fix some bugs of orc lazy materialization(#18615)
- Fix issue causing column size to continuously increase after `execute_conjuncts()` by calling `Block::erase_useless_column()`.
- Fix partition issues of orc lazy materialization.
- Fix lazy materialization will not be used when the predicate column is inconsistent with the orc file.
The test query includes the conversion of string types to other types, and the processing of materialized columns for nested subqueries, which is the regression test for bug fix(#18783)
If the user manually removed a hive partition (remove the partition dir through hdfs), doris will failed to query the hive
table with an error message get file split failed for table. That is because the Hive metadata still contains the removed partition.
This pr is to fix this bug. Skip the not exist dirs.
Iceberg table partition name may contain upper case characters, for example: City=xxx, Nation=xxx.
But in Doris, all column names are in lower case. Here we transfer the partition name to lower case to keep consist with column name.
Fix partition field conjuncts not work.
Add predicate_partition_columns in _slot_id_to_filter_conjuncts(single slot conjuncts) to _filter_conjuncts, others should had been added from not_single_slot_filter_conjuncts.
Fix threes bugs of timestampv2 precision:
1. Hive catalog doesn't set the precision of timestampv2, and can't get the precision from hive metastore, so set the largest precision for timestampv2;
2. Jdbc catalog use datetimev1 to parse timestamp, and convert to timestampv2, so the precision is lost.
3. TVF doesn't use the precision from meta data of file format.
Hive support create partition with a specific location. In this case, the file path for the create partition may not contain the partition name and value. Which will cause Doris fail to query the the hive partition.
This pr is to fix this bug.
Fix bug when reading array type in parquet file:
```
ERROR 1105 (HY000): errCode = 2, detailMessage = [INTERNAL_ERROR]Read parquet file xxx failed,
reason = [IO_ERROR]Decode too many values in current page
```
When reading normal columns, `ScalarColumnReader::_read_values` still calls `ColumnSelectVector::set_run_length_null_map` to initialize select vector, but `ScalarColumnReader::_read_nested_column` hasn't do this, making the number of values wrong.
The situation where this error occurs is particularly extreme: The column pages have remaining values to be read,
but all of them are null values at ancestor level, so there's no actual read operation, just skipping null values at ancestor level.
Fix decimal v3 precision loss issues in the multi-catalog module.
Now it will use decimal v3 to represent decimal type in the multi-catalog module.
Regression Test: `test_load_with_decimal.groovy`
1. Fix value idx in bool rle decoder
2. Iceberg table support datetimev2(3). In the previous version, we converted hive timestamp to datetimev2(0) default.
Support delta encoding and rle(bool) to read Glue data
add delta bit pack decoder,
add delta length byte array decoder,
add delta byte array decoder.
add rle bool decoder.
We find some data type is read with delta encoding on AWS Glue, so it should be supported.
The definition of delta encoding can refer to the delta encoding in parquet.
Hive store all the data without partition columns to a default partition named __HIVE_DEFAULT_PARTITION__.
Doris will fail to get the this partition when the partition column type is INT or something else that
__HIVE_DEFAULT_PARTITION__ couldn't convert to.
This pr is to support hive default partition, set the column value to NULL for the missing partition columns.
External hms catalog table column names in doris are all in lower case,
while iceberg table or spark-sql created hive table may contain upper case column name,
which will cause empty query result. This pr is to fix this bug.
1. For parquet file, transfer all column names to lower case while parse parquet metadata.
2. For orc file, store the origin column names and lower case column names in two vectors, use the suitable names in different cases.
3. FE side, change the column name back to the origin column name in iceberg while doing convertToIcebergExpr.
Fix bug that when create jdbc resource with only jdbc driver file name, it will failed to do checksum
This is because we forgot the pass the full driver url to JdbcClient.
Add ResultSet.FETCH_FORWARD and set AutoCommit to false to jdbc connection, so to avoid OOM when fetching large amount of data
set useCursorFetch in jdbc url for both MySQL and PostgreSQL.
Fix some p2 external datasource bug
1. Fix 1 bug:
Throw null pointer exception when reading data after the reader reaches the end of file, so should return directly when `_do_lazy_read` read no data.
2. Optimize code:
Remove unused parameters.
3. Fix regression test
