* [Feature](vectorized)(quantile_state): support vectorized quantile state functions
1. now quantile column only support not nullable
2. add up some regression test cases
3. set default enable_quantile_state_type = true
---------
Co-authored-by: spaces-x <weixiang06@meituan.com>
Notice some changes:
1. Support cancel query for mysql load
2. Change the thread pool for mysql load manager.
3. Fix sucret path check logic
4. Fix some doc error
A new way just like c++ template is proposed in this PR. The previous functions can be defined much simpler using template function.
# map element extract template function
[['element_at', '%element_extract%'], 'E', ['ARRAY<E>', 'BIGINT'], 'ALWAYS_NULLABLE', ['E']],
# map element extract template function
[['element_at', '%element_extract%'], 'V', ['MAP<K, V>', 'K'], 'ALWAYS_NULLABLE', ['K', 'V']],
BTW, the plain type function is not affected and the legacy ARRAY_X MAP_K_V is still supported for compatability.
We set LIBHDFS3_CONF env in start_be.sh, so libhdfs3 will try to read this hdfs-site.xml,
if file does not exist, it will throw error. But Doris does not handle this error, cause BE crash.
This CL mainly changes:
Modify start_be.sh to only set LIBHDFS3_CONF if hdfs-site.xml exist.
Refactor the HDFSCommonBuilder so that it can return error correctly.
Add BE IP info in status, so that we can get ip from error msg like:
ERROR 1105 (HY000): errCode = 2, detailMessage = [INTERNAL_ERROR]failed to init reader for file 000.snappy.orc, err:
[INTERNAL_ERROR][172.21.0.101]failed to init HDFSCommonBuilder, please check check be/conf/hdfs-site.xml
The logic of prefer compute node is wrong, which causing the external table query can only assign up to 3 backends.
This CL refactor this logic and also change some FE config:
prefer_compute_node_for_external_table
If set to true, query on external table will prefer to assign to compute node.
And the max number of compute node is controlled by min_backend_num_for_external_table.
If set to false, query on external table will assign to any node.
min_backend_num_for_external_table
Only take effect when prefer_compute_node_for_external_table is true.
If the compute node number is less than this value, query on external table will try to get some mix node
to assign, to let the total number of node reach this value.
If the compute node number is larger than this value, query on external table will assign to compute node only.
Loading a big local file will cause `INTERNAL_ERROR]too many filtered rows` issue since the bytebuffer from mysql client always use the same byte array.
And the later bytes will overwrite the previous one and make wrong bytes order among the network.
Copy the byte array and then fill it into network.
1. Organize http documents
2. Add http interface authentication for FE
3. Support https interface for FE
4. Provide authentication interface
5. Add http interface authentication for BE
6. Support https interface for BE
- change for Nereids
1. add a variable length parameter to the ctor of Count for a good error reporting of Count(a, b)
2. refactor StringRegexPredicate, let it inherit from ScalarFunction
3. remove useless class TypeCollection
4. use catalog.Type.Collection to check expression arguments type
5. change type coercion for TimestampArithmetic, divide, integral divide, comparison predicate, case when and in predicate. Let them same as legacy planner.
- change for legacy planner
1. change the common type of floating and Decimal from Decimal to Double
This commits forbid struct and map type to be distributed key/aggregation key.
The sql such as:
select distinct stuct_col from struct_table
will report an error.
Currently not support insert {1, 'a'} into struct<f1:tinyint, f2:varchar(20)>
This commit will support implicitly cast the char type in the struct to varchar.
Add implicitly cast for struct-type.
MySql load can load fe server node, but it will cause secure issue that user use it to detect the fe node local file.
For this reason, add a configuration named mysql_load_server_secure_path to set a secure path to load data.
By default, load fe local file feature is disabled by this configuration.
Use FE cluster token to auth stream load.
This auth is only open for be, and fe auth still only support http basic auth.
I will use this auth for mysql load to build a no-auth stream load from fe to be.
And this will avoid double auth in mysql load.
More information to see the design doc.
Issue Number: close#16351
Dynamic schema table is a special type of table, it's schema change with loading procedure.Now we implemented this feature mainly for semi-structure data such as JSON, since JSON is schema self-described we could extract schema info from the original documents and inference the final type infomation.This speical table could reduce manual schema change operation and easily import semi-structure data and extends it's schema automatically.
1. add limit threshold for topn runtime pushdown and key topn optimization
2. use unified session variable topn_opt_limit_threshold for all topn optimizations
3. add fuzzy support for topn_opt_limit_threshold
change implement of auth to rbac
each user has one default role which can not be drop;
if you grant priv to user,it will grant to default role ,
In the current pr, the user can still only have one role other than the default role, but in the future, the user and role will be many-to-many
rename PaloRole,PaloAuth,PaloPrivilege to Role,Auth,Privilege
This commit support:
1、Insert + select for struct/map type
2、Json stream load for struct type
3、m[key] function for map type
How to use:
Set the fe config to create table for struct and map type
1、admin set frontend config("enable_struct_type" = "true");
2、admin set frontend config("enable_map_type" = "true");
#16547
Co-authored-by: xy720 <xuyang25@baidu.com>
Co-authored-by: amory <wangqiannan@selectdb.com>
Co-authored-by: cambyzju <zhuxiaoli01@baidu.com>
Co-authored-by: hucheng01 <hucheng01@baidu.com>
* [fuzzy](test) fuzzy some session variables stably according to pull_request_id
* fuzzy enable_fold_constant_by_be
---------
Co-authored-by: stephen <hello_stephen@@qq.com>
Support using this sql to refresh mtmv manually. It can generate a mtmv task right now.
```
REFRESH MATERIALIZED VIEW test_mv_view [complete];
```
You can use `show mtmv task` to show the latest task.
In this pr, I also try to clear the mtmv tasks when drop the mtmv to make sure test suite to be right
Main subtask of [DSIP-28](https://cwiki.apache.org/confluence/display/DORIS/DSIP-028%3A+Suppot+MySQL+Load+Data)
## Problem summary
Support mysql load syntax as below:
```sql
LOAD DATA
[LOCAL]
INFILE 'file_name'
INTO TABLE tbl_name
[PARTITION (partition_name [, partition_name] ...)]
[COLUMNS TERMINATED BY 'string']
[LINES TERMINATED BY 'string']
[IGNORE number {LINES | ROWS}]
[(col_name_or_user_var [, col_name_or_user_var] ...)]
[SET (col_name={expr | DEFAULT} [, col_name={expr | DEFAULT}] ...)]
[PROPERTIES (key1 = value1 [, key2=value2]) ]
```
For example,
```sql
LOAD DATA
LOCAL
INFILE 'local_test.file'
INTO TABLE db1.table1
PARTITION (partition_a, partition_b, partition_c, partition_d)
COLUMNS TERMINATED BY '\t'
(k1, k2, v2, v10, v11)
set (c1=k1,c2=k2,c3=v10,c4=v11)
PROPERTIES ("auth" = "root:", "strict_mode"="true")
```
Note that in this pr the property named `auth` must be set since stream load need auth. I will optimize it later.
1. Spark dpp
Move `DppResult` and `EtlJobConfig` to sparkdpp package in `fe-common` module.
So taht `fe-core` is longer depends on `spark-dpp` module, so that the `spark-dpp.jar`
will not be moved into `fe/lib`, which reduce the size of FE output.
2. Modify start_fe.sh
Modify the CLASSPATH to make sure that doris-fe.jar is at front, so that
when loading classes with same qualified name, it will be got from doris-fe.jar firstly.
3. Upgrade hadoop and hive version
hadoop: 2.10.2 -> 3.3.3
hive: 2.3.7 -> 3.1.3
4. Override the IHiveMetastoreClient implementations from dependency
`ProxyMetaStoreClient.java` for Aliyun DLF.
`HiveMetaStoreClient.java` for origin Apache Hive metastore.
Because I need to modified some of their method to make them compatible with
different version of Hive.
5. Exclude some unused dependencies to reduce the size of FE output
Now it is only 370MB (Before is 600MB)
6. Upgrade aws-java-sdk version to 1.12.31
7. Support AWS Glue Data Catalog
8. Remove HudiScanNode(no longer support)
1. `uncheckedCastChild` may generate redundant `CastExpr` like `cast( cast(XXX as Date) as Date)`
2. generate DateLiteral to replace cast(IntLiteral as Date)
This PR optimize topn query like `SELECT * FROM tableX ORDER BY columnA ASC/DESC LIMIT N`.
TopN is is compose of SortNode and ScanNode, when user table is wide like 100+ columns the order by clause is just a few columns.But ScanNode need to scan all data from storage engine even if the limit is very small.This may lead to lots of read amplification.So In this PR I devide TopN query into two phase:
1. The first phase we just need to read `columnA`'s data from storage engine along with an extra RowId column called `__DORIS_ROWID_COL__`.The other columns are pruned from ScanNode.
2. The second phase I put it in the ExchangeNode beacuase it's the central node for topn nodes in the cluster.The ExchangeNode will spawn a RPC to other nodes using the RowIds(sorted and limited from SortNode) read from the first phase and read row by row from storage engine.
After the second phase read, Block will contain all the data needed for the query
