```
SET PROPERTY FOR 'jack' 'exec_mem_limit' = '2147483648';
SET PROPERTY FOR 'jack' 'load_mem_limit' = '2147483648';
```
The user level property will overwrite the value in session variables.
1. Fix bug of UNKNOWN Operation Type 91
2. Support using resource_tag property of user to limit the usage of BE
3. Add new FE config `disable_tablet_scheduler` to disable tablet scheduler.
4. Add documents for resource tag.
5. Modify the default value of FE config `default_db_data_quota_bytes` to 1PB.
6. Add a new BE config `disable_compaction_trace_log` to disable the trace log of compaction time cost.
7. Modify the default value of BE config `remote_storage_read_buffer_mb` to 16MB
8. Fix `show backends` results error
9. Add new BE config `external_table_connect_timeout_sec` to set the timeout when connecting to odbc and mysql table.
10. Modify issue template to enable blank issue, for release note or other specific usage.
11. Fix a bug in alpha_row_set split_range() function.
1. User interface:
1.1 Spark resource management
Spark is used as an external computing resource in Doris to do ETL work. In the future, there may be other external resources that will be used in Doris, for example, MapReduce is used for ETL, Spark/GPU is used for queries, HDFS/S3 is used for external storage. We introduced resource management to manage these external resources used by Doris.
```sql
-- create spark resource
CREATE EXTERNAL RESOURCE resource_name
PROPERTIES
(
type = spark,
spark_conf_key = spark_conf_value,
working_dir = path,
broker = broker_name,
broker.property_key = property_value
)
-- drop spark resource
DROP RESOURCE resource_name
-- show resources
SHOW RESOURCES
SHOW PROC "/resources"
-- privileges
GRANT USAGE_PRIV ON RESOURCE resource_name TO user_identity
GRANT USAGE_PRIV ON RESOURCE resource_name TO ROLE role_name
REVOKE USAGE_PRIV ON RESOURCE resource_name FROM user_identity
REVOKE USAGE_PRIV ON RESOURCE resource_name FROM ROLE role_name
```
- CREATE EXTERNAL RESOURCE:
FOR user_name is optional. If there has, the external resource belongs to this user. If not, the external resource belongs to the system and all users are available.
PROPERTIES：
1. type: resource type. Only support spark now.
2. spark configuration: follow the standard writing of Spark configurations, refer to: https://spark.apache.org/docs/latest/configuration.html.
3. working_dir: optional, used to store ETL intermediate results in spark ETL.
4. broker: optional, used in spark ETL. The ETL intermediate results need to be read with the broker when pushed into BE.
Example:
```sql
CREATE EXTERNAL RESOURCE "spark0"
PROPERTIES
(
"type" = "spark",
"spark.master" = "yarn",
"spark.submit.deployMode" = "cluster",
"spark.jars" = "xxx.jar,yyy.jar",
"spark.files" = "/tmp/aaa,/tmp/bbb",
"spark.yarn.queue" = "queue0",
"spark.executor.memory" = "1g",
"spark.hadoop.yarn.resourcemanager.address" = "127.0.0.1:9999",
"spark.hadoop.fs.defaultFS" = "hdfs://127.0.0.1:10000",
"working_dir" = "hdfs://127.0.0.1:10000/tmp/doris",
"broker" = "broker0",
"broker.username" = "user0",
"broker.password" = "password0"
)
```
- SHOW RESOURCES:
General users can only see their own resources.
Admin and root users can show all resources.
1.2 Create spark load job
```sql
LOAD LABEL db_name.label_name
(
DATA INFILE ("/tmp/file1") INTO TABLE table_name, ...
)
WITH RESOURCE resource_name
[(key1 = value1, ...)]
[PROPERTIES (key2 = value2, ... )]
```
Example:
```sql
LOAD LABEL example_db.test_label
(
DATA INFILE ("hdfs:/127.0.0.1:10000/tmp/file1") INTO TABLE example_table
)
WITH RESOURCE "spark0"
(
"spark.executor.memory" = "1g",
"spark.files" = "/tmp/aaa,/tmp/bbb"
)
PROPERTIES ("timeout" = "3600")
```
The spark configurations in load stmt can override the existing configuration in the resource for temporary use.
#3010
