rickchengx commented on code in PR #11860:
URL: https://github.com/apache/dolphinscheduler/pull/11860#discussion_r973835351
##########
docs/docs/en/guide/task/spark.md:
##########
@@ -15,34 +15,33 @@ Spark task type for executing Spark application. When
executing the Spark task,
## Task Parameters
-| **Parameter** | **Description** |
-| ------- | ---------- |
-| Node Name | Set the name of the task. Node names within a workflow
definition are unique. |
-| Run flag | Indicates whether the node can be scheduled normally. If it is
not necessary to execute, you can turn on the prohibiting execution switch. |
-| Description | Describes the function of this node. |
-| Task priority | When the number of worker threads is insufficient, they are
executed in order from high to low according to the priority, and they are
executed according to the first-in, first-out principle when the priority is
the same. |
-| Worker group | The task is assigned to the machines in the worker group for
execution. If Default is selected, a worker machine will be randomly selected
for execution. |
-| Task group name | The group in Resources, if not configured, it will not be
used. |
-| Environment Name | Configure the environment in which to run the script. |
-| Number of failed retries | The number of times the task is resubmitted after
failure. It supports drop-down and manual filling. |
-| Failure Retry Interval | The time interval for resubmitting the task if the
task fails. It supports drop-down and manual filling. |
-| Timeout alarm | Check Timeout Alarm and Timeout Failure. When the task
exceeds the "timeout duration", an alarm email will be sent and the task
execution will fail. |
-| Program type | Supports Java, Scala, Python, and SQL. |
-| Spark version | Support Spark1 and Spark2. |
-| The class of main function | The **full path** of Main Class, the entry
point of the Spark program. |
-| Main jar package | The Spark jar package (upload by Resource Center). |
-| SQL scripts | SQL statements in .sql files that Spark sql runs. |
-| Deployment mode | <ul><li>spark submit supports three modes: yarn-clusetr,
yarn-client and local.</li><li>spark sql supports yarn-client and local
modes.</li></ul> |
-| Task name | Spark task name. |
-| Driver core number | Set the number of Driver core, which can be set
according to the actual production environment. |
-| Driver memory size | Set the size of Driver memories, which can be set
according to the actual production environment. |
-| Number of Executor | Set the number of Executor, which can be set according
to the actual production environment. |
-| Executor memory size | Set the size of Executor memories, which can be set
according to the actual production environment. |
-| Main program parameters | Set the input parameters of the Spark program and
support the substitution of custom parameter variables. |
-| Optional parameters | Support `--jars`, `--files`,` --archives`, `--conf`
format. |
-| Resource | Appoint resource files in the `Resource` if parameters refer to
them. |
-| Custom parameter | It is a local user-defined parameter for Spark, and will
replace the content with `${variable}` in the script. |
-| Predecessor task | Selecting a predecessor task for the current task, will
set the selected predecessor task as upstream of the current task. |
+| **Parameter** |
**Description**
|
+|----------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Node Name | Set the name of the task. Node names within a
workflow definition are unique.
|
+| Run flag | Indicates whether the node can be scheduled
normally. If it is not necessary to execute, you can turn on the prohibiting
execution switch.
|
+| Description | Describes the function of this node.
|
+| Task priority | When the number of worker threads is
insufficient, they are executed in order from high to low according to the
priority, and they are executed according to the first-in, first-out principle
when the priority is the same. |
+| Worker group | The task is assigned to the machines in the
worker group for execution. If Default is selected, a worker machine will be
randomly selected for execution.
|
+| Task group name | The group in Resources, if not configured, it
will not be used.
|
+| Environment Name | Configure the environment in which to run the
script.
|
+| Number of failed retries | The number of times the task is resubmitted
after failure. It supports drop-down and manual filling.
|
+| Failure Retry Interval | The time interval for resubmitting the task if
the task fails. It supports drop-down and manual filling.
|
+| Timeout alarm | Check Timeout Alarm and Timeout Failure. When
the task exceeds the "timeout duration", an alarm email will be sent and the
task execution will fail.
|
Review Comment:
Sure.
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