1. The Mysql Go driver has a logic that terminates when it reads an EOF (end-of-file) and expects no data in the buffer. However, the front-end (FE) mistakenly returns an additional OK packet, which causes an exception to be thrown when reading the buffer.
2. Refactor some logic to support full prepared not just in where clause, like
```
select ?, ? from tbl
```
fe foldconstRule make array() function expr with const literal , and would not pass this array literal to be . but we should make fe array string output format is same with be array string output
Add JNI metrics, for example:
```
- HudiJniScanner: 0ns
- FillBlockTime: 31.29ms
- GetRecordReaderTime: 1m5s
- JavaScanTime: 35s991ms
- OpenScannerTime: 1m6s
```
Add three common performance metrics for JNI scanner:
1. `OpenScannerTime`: Time to init and open JNI scanner
2. `JavaScanTime`: Time to scan data and insert into vector table in java side
3. `FillBlockTime`: Time to convert java vector table to c++ block
And support user defined metrics in java side, for example: `OpenScannerTime` is a long time for the open process, we want to determine which sub-process takes too much time, so we add `GetRecordReaderTime` in java side.
The user defined metrics in java side can be attached to BE profile automatically.
Problem:
when use select group_concat(distinct a, 'seg1'), group_concat(distinct b, 'seg2') ... Error would rised
Reason:
Group_concat function regard 'seg' as arguments also, so multi distinct column error would rised
Solved:
let Multi Distinct group_concat function only get first argument as real argument
The current column statistic cache loader is to load data from column_statistics olap table.
This pr is to change the cache loader logic to First load from column_statistics olap table, if no data was loaded, then load from table metadata. This is mainly to support fetch statistics data for external catalog using HMS or Iceberg api.
This is the first PR, next pr will implement the fetch logic for different external catalogs.
Two optimizations:
1. Insert string bytes directly to remove decoding&encoding process.
2. Use native reader to read the hudi base file if it has no log file. Use `explain` to show how many splits are read natively.
When we use a label to load data, this label can not be used twice. But when we execute a sql 'CLEAN LABEL [label] FROM db;', we hope that the same label can be used again.
However, the sql above does not work. This PR is fixing this problem.
if we do type coercion on subquery, it return datatype after type coercion
error info
```
Both side of binary arithmetic is not numeric. left type is DECIMALV3(2, 1) and right type is DECIMAL(27, 9)')
```
in hash join condition, some equals are trustable, some are not.
an equal is trustable if one side is almost unique, like primary key. for such equal condition we could estimate more accurate.
the problem is in rewriten q20, the are 2 equal condition, one is trustable, another is not. But we treat both of them as trustable.
Test result:
on tpch100, from 2.2 sec to 0.44 sec
no impact on tpch other queries
no performance impact on tpcds queries
1. Don't write to table_statistics when create sync analyze job anymore since it's meaningless
2. Capture exceptions when creating each system analyze job to avoid the failure of creation of all automatic collection jobs due to a single job creation failure.
3. Mark auto triggered period job's job type as system
Sometimes we meet a hive table with parameter: "transactional" = "true", but format is parquet, which is not supported.
So we need to check the input format for transactional table.
The metadata indexes in MaterializedIndexMeta is introduced in 2.0-beta version and it's relied by writing inverted index. When upgrade doris from old version to 2.0-beta, the metadata indexes in MaterializedIndexMeta is empty and no inverted index file will be written.
This PR add compatibility logic to use metadata indexes in table if indexes in MaterializedIndexMeta is empty and indexes in MaterializedIndexMeta indexId is equal to table baseIndexId.
This PR also fix metadata indexes missing for schema change.
stability and some fixes
1. fix s3 availability check
2. add independent minio properties
3. add job conf cache
4. remove extra s3 propertie when convert catalog properties
5. add some ut case to check conveted properties
fix 3 issues about mv selection:
1. in legacy planner, should not consider aux expr when do mv selection
2. in Nereids, should not hit mv when agg function on value column is distinct
3. select mv cannot rewrite agg function in on table with column name in uppercase
In JdbcMysqlClient, I've added methods to retrieve auto-increment and default value columns from MySQL. These columns are then mapped into Doris metadata to make them visible to users.
When handling the InsertStmt into an execution plan, Doris used to automatically fill in NULL or default values for columns not specified in the InsertStmt. However, in the JDBC catalog, we don't need Doris to handle these unspecified columns, so I've made changes to skip them directly.
For the insert prepared statement required for writing, our previous behavior was to obtain all columns for placeholders. So, the change I made is to pass in the columns processed by the execution plan during the sink task generation stage for dynamic generation.
