| conf.common."data.basedir.path" | string | `"/tmp/dolphinscheduler"` | user data local directory path, please make sure the directory exists and have read write permissions |
| conf.common."data.basedir.path" | string | `"/tmp/dolphinscheduler"` | user data local directory path, please make sure the directory exists and have read write permissions |
@ -12,7 +12,7 @@ The execution logic of the data quality task is as follows:
- The current data quality task result is stored in the `t_ds_dq_execute_result` table of `dolphinscheduler`
- The current data quality task result is stored in the `t_ds_dq_execute_result` table of `dolphinscheduler`
`Worker` sends the task result to `Master`, after `Master` receives `TaskResponse`, it will judge whether the task type is `DataQualityTask`, if so, it will read the corresponding result from `t_ds_dq_execute_result` according to `taskInstanceId`, and then The result is judged according to the check mode, operator and threshold configured by the user.
`Worker` sends the task result to `Master`, after `Master` receives `TaskResponse`, it will judge whether the task type is `DataQualityTask`, if so, it will read the corresponding result from `t_ds_dq_execute_result` according to `taskInstanceId`, and then The result is judged according to the check mode, operator and threshold configured by the user.
- If the result is a failure, the corresponding operation, alarm or interruption will be performed according to the failure policy configured by the user.
- If the result is a failure, the corresponding operation, alarm or interruption will be performed according to the failure policy configured by the user.
- If you package `data-quality` separately, remember to modify the package name to be consistent with `data-quality.jar.name` in `common.properties` with attribute name `data-quality.jar.name`
- If you package `data-quality` separately, remember to modify the package name to be consistent with `data-quality.jar.dir` in `common.properties` with attribute name `data-quality.jar.dir`
- If the old version is upgraded and used, you need to execute the `sql` update script to initialize the database before running.
- If the old version is upgraded and used, you need to execute the `sql` update script to initialize the database before running.
- `dolphinscheduler-data-quality-dev-SNAPSHOT.jar` was built with no dependencies. If a `JDBC` driver is required, you can set the `-jars` parameter in the `node settings``Option Parameters`, e.g. `--jars /lib/jars/mysql-connector-java-8.0.16.jar`.
- `dolphinscheduler-data-quality-dev-SNAPSHOT.jar` was built with no dependencies. If a `JDBC` driver is required, you can set the `-jars` parameter in the `node settings``Option Parameters`, e.g. `--jars /lib/jars/mysql-connector-java-8.0.16.jar`.
- Currently only `MySQL`, `PostgreSQL` and `HIVE` data sources have been tested, other data sources have not been tested yet.
- Currently only `MySQL`, `PostgreSQL` and `HIVE` data sources have been tested, other data sources have not been tested yet.
# data quality absolute path, it would auto discovery from libs directory. You can also specific the jar name in libs directory
# data quality jar directory path, it would auto discovery data quality jar from this given dir. You should keep it empty if you do not change anything in
# if you re-build it alone, or auto discovery mechanism fail
# data-quality, it will auto discovery by dolphinscheduler itself. Change it only if you want to use your own data-quality jar and it is not in worker-server
data-quality.jar.name=
# libs directory(but may sure your jar name start with `dolphinscheduler-data-quality`).
@ -11,6 +11,7 @@ This document records the incompatible updates between each version. You need to
* Change the default unix shell executor from sh to bash ([#12180](https://github.com/apache/dolphinscheduler/pull/12180)).
* Change the default unix shell executor from sh to bash ([#12180](https://github.com/apache/dolphinscheduler/pull/12180)).
* Remove `deleteSource` in `download()` of `StorageOperate` ([#14084](https://github.com/apache/dolphinscheduler/pull/14084))
* Remove `deleteSource` in `download()` of `StorageOperate` ([#14084](https://github.com/apache/dolphinscheduler/pull/14084))
* Remove default key for attribute `data-quality.jar.name` in `common.properties` ([#15551](https://github.com/apache/dolphinscheduler/pull/15551))
* Remove default key for attribute `data-quality.jar.name` in `common.properties` ([#15551](https://github.com/apache/dolphinscheduler/pull/15551))
* Rename attribute `data-quality.jar.name` to `data-quality.jar.dir` in `common.properties` and represent for directory ([#15563](https://github.com/apache/dolphinscheduler/pull/15563))
# data quality absolute path, it would auto discovery from libs directory. You can also specific the jar name in libs directory
# data quality jar directory path, it would auto discovery data quality jar from this given dir. You should keep it empty if you do not change anything in
# if you re-build it alone, or auto discovery mechanism fail
# data-quality, it will auto discovery by dolphinscheduler itself. Change it only if you want to use your own data-quality jar and it is not in worker-server
data-quality.jar.name=
# libs directory(but may sure your jar name start with `dolphinscheduler-data-quality`).
# data quality absolute path, it would auto discovery from libs directory. You can also specific the jar name in libs directory
# data quality jar directory path, it would auto discovery data quality jar from this given dir. You should keep it empty if you do not change anything in
# if you re-build it alone, or auto discovery mechanism fail
# data-quality, it will auto discovery by dolphinscheduler itself. Change it only if you want to use your own data-quality jar and it is not in worker-server
data-quality.jar.name=
# libs directory(but may sure your jar name start with `dolphinscheduler-data-quality`).
# data quality absolute path, it would auto discovery from libs directory. You can also specific the jar name in libs directory
# data quality jar directory path, it would auto discovery data quality jar from this given dir. You should keep it empty if you do not change anything in
# if you re-build it alone, or auto discovery mechanism fail
# data-quality, it will auto discovery by dolphinscheduler itself. Change it only if you want to use your own data-quality jar and it is not in worker-server
data-quality.jar.name=
# libs directory(but may sure your jar name start with `dolphinscheduler-data-quality`).
# data quality absolute path, it would auto discovery from libs directory. You can also specific the jar name in libs directory
# data quality jar directory path, it would auto discovery data quality jar from this given dir. You should keep it empty if you do not change anything in
# if you re-build it alone, or auto discovery mechanism fail
# data-quality, it will auto discovery by dolphinscheduler itself. Change it only if you want to use your own data-quality jar and it is not in worker-server
data-quality.jar.name=
# libs directory(but may sure your jar name start with `dolphinscheduler-data-quality`).
# data quality option, it would auto discovery from libs directory. You can also specific the jar name in libs directory
# data quality jar directory path, it would auto discovery data quality jar from this given dir. You should keep it empty if you do not change anything in
# if you re-build it alone, or auto discovery mechanism fail
# data-quality, it will auto discovery by dolphinscheduler itself. Change it only if you want to use your own data-quality jar and it is not in worker-server
data-quality.jar.name=
# libs directory(but may sure your jar name start with `dolphinscheduler-data-quality`).
# data quality absolute path, it would auto discovery from libs directory. You can also specific the jar name in libs directory
# data quality jar directory path, it would auto discovery data quality jar from this given dir. You should keep it empty if you do not change anything in
# if you re-build it alone, or auto discovery mechanism fail
# data-quality, it will auto discovery by dolphinscheduler itself. Change it only if you want to use your own data-quality jar and it is not in worker-server
data-quality.jar.name=
# libs directory(but may sure your jar name start with `dolphinscheduler-data-quality`).