[GitHub] [flink] ye-lun commented on a change in pull request #8995: [FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
ye-lun commented on a change in pull request #8995:
[FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
URL: https://github.com/apache/flink/pull/8995#discussion_r301922675
##
File path: docs/dev/parallel.zh.md
##
@@ -22,29 +22,20 @@ specific language governing permissions and limitations
under the License.
-->
-This section describes how the parallel execution of programs can be
configured in Flink. A Flink
-program consists of multiple tasks (transformations/operators, data sources,
and sinks). A task is split into
-several parallel instances for execution and each parallel instance processes
a subset of the task's
-input data. The number of parallel instances of a task is called its
*parallelism*.
-
-If you want to use [savepoints]({{ site.baseurl }}/ops/state/savepoints.html)
you should also consider
-setting a maximum parallelism (or `max parallelism`). When restoring from a
savepoint you can
-change the parallelism of specific operators or the whole program and this
setting specifies
-an upper bound on the parallelism. This is required because Flink internally
partitions state
-into key-groups and we cannot have `+Inf` number of key-groups because this
would be detrimental
-to performance.
+本节描述了如何在 Flink 中配置程序的并发执行。一个 Flink 程序由多个任务 task 组成（转换/算子、数据源和数据汇）。一个 task
包括多个并发执行的实例，且每一个实例都处理 task 输入数据的一个子集。一个 task 的并发实例数被称为该 task 的 *parallelism*。
Review comment:
OK，那我就统一改成并行
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[GitHub] [flink] ye-lun commented on a change in pull request #8995: [FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
ye-lun commented on a change in pull request #8995:
[FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
URL: https://github.com/apache/flink/pull/8995#discussion_r301525333
##
File path: docs/dev/parallel.zh.md
##
@@ -22,29 +22,20 @@ specific language governing permissions and limitations
under the License.
-->
-This section describes how the parallel execution of programs can be
configured in Flink. A Flink
-program consists of multiple tasks (transformations/operators, data sources,
and sinks). A task is split into
-several parallel instances for execution and each parallel instance processes
a subset of the task's
-input data. The number of parallel instances of a task is called its
*parallelism*.
-
-If you want to use [savepoints]({{ site.baseurl }}/ops/state/savepoints.html)
you should also consider
-setting a maximum parallelism (or `max parallelism`). When restoring from a
savepoint you can
-change the parallelism of specific operators or the whole program and this
setting specifies
-an upper bound on the parallelism. This is required because Flink internally
partitions state
-into key-groups and we cannot have `+Inf` number of key-groups because this
would be detrimental
-to performance.
+本节描述了如何在 Flink 中配置程序的并发执行。一个 Flink 程序由多个任务 task 组成（转换/算子、数据源和数据汇）。一个 task
包括多个并发执行的实例，且每一个实例都处理 task 输入数据的一个子集。一个 task 的并发实例数被称为该 task 的 *parallelism*。
Review comment:
@klion26 @wuchong 我们能在此处统一一下意见吗，谢谢。
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[GitHub] [flink] ye-lun commented on a change in pull request #8995: [FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
ye-lun commented on a change in pull request #8995:
[FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
URL: https://github.com/apache/flink/pull/8995#discussion_r301502631
##
File path: docs/dev/parallel.zh.md
##
@@ -80,17 +71,11 @@ env.execute("Word Count Example")
-### Execution Environment Level
+### 执行环境层次
-As mentioned [here]({{ site.baseurl
}}/dev/api_concepts.html#anatomy-of-a-flink-program) Flink
-programs are executed in the context of an execution environment. An
-execution environment defines a default parallelism for all operators, data
sources, and data sinks
-it executes. Execution environment parallelism can be overwritten by
explicitly configuring the
-parallelism of an operator.
+如[此节]({{ site.baseurl
}}/zh/dev/api_concepts.html#anatomy-of-a-flink-program)所描述，Flink
程序运行在执行环境的上下文中。执行环境为所有执行的算子、数据源、数据汇定义了一个默认的 parallelism。可以显式配置算子层次的 parallelism
去覆盖执行环境的 parallelism。
-The default parallelism of an execution environment can be specified by
calling the
-`setParallelism()` method. To execute all operators, data sources, and data
sinks with a parallelism
-of `3`, set the default parallelism of the execution environment as follows:
+执行环境的默认 parallelism 可以通过调用 `setParallelism()` 方法指定。可以通过如下的方式设置执行环境的
parallelism，以并发度 `3`来执行所有的算子、数据源和数据汇：
Review comment:
这里我会更改的
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[GitHub] [flink] ye-lun commented on a change in pull request #8995: [FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
ye-lun commented on a change in pull request #8995:
[FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
URL: https://github.com/apache/flink/pull/8995#discussion_r301497488
##
File path: docs/dev/parallel.zh.md
##
@@ -80,17 +71,11 @@ env.execute("Word Count Example")
-### Execution Environment Level
+### 执行环境层次
-As mentioned [here]({{ site.baseurl
}}/dev/api_concepts.html#anatomy-of-a-flink-program) Flink
-programs are executed in the context of an execution environment. An
-execution environment defines a default parallelism for all operators, data
sources, and data sinks
-it executes. Execution environment parallelism can be overwritten by
explicitly configuring the
-parallelism of an operator.
+如[此节]({{ site.baseurl
}}/zh/dev/api_concepts.html#anatomy-of-a-flink-program)所描述，Flink
程序运行在执行环境的上下文中。执行环境为所有执行的算子、数据源、数据汇定义了一个默认的 parallelism。可以显式配置算子层次的 parallelism
去覆盖执行环境的 parallelism。
-The default parallelism of an execution environment can be specified by
calling the
-`setParallelism()` method. To execute all operators, data sources, and data
sinks with a parallelism
-of `3`, set the default parallelism of the execution environment as follows:
+执行环境的默认 parallelism 可以通过调用 `setParallelism()` 方法指定。可以通过如下的方式设置执行环境的
parallelism，以并发度 `3`来执行所有的算子、数据源和数据汇：
Review comment:
或许对于此处的翻译我们需要统一一下意见
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[GitHub] [flink] ye-lun commented on a change in pull request #8995: [FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
ye-lun commented on a change in pull request #8995:
[FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
URL: https://github.com/apache/flink/pull/8995#discussion_r301495755
##
File path: docs/dev/parallel.zh.md
##
@@ -22,29 +22,20 @@ specific language governing permissions and limitations
under the License.
-->
-This section describes how the parallel execution of programs can be
configured in Flink. A Flink
-program consists of multiple tasks (transformations/operators, data sources,
and sinks). A task is split into
-several parallel instances for execution and each parallel instance processes
a subset of the task's
-input data. The number of parallel instances of a task is called its
*parallelism*.
-
-If you want to use [savepoints]({{ site.baseurl }}/ops/state/savepoints.html)
you should also consider
-setting a maximum parallelism (or `max parallelism`). When restoring from a
savepoint you can
-change the parallelism of specific operators or the whole program and this
setting specifies
-an upper bound on the parallelism. This is required because Flink internally
partitions state
-into key-groups and we cannot have `+Inf` number of key-groups because this
would be detrimental
-to performance.
+本节描述了如何在 Flink 中配置程序的并发执行。一个 Flink 程序由多个任务 task 组成（转换/算子、数据源和数据汇）。一个 task
包括多个并发执行的实例，且每一个实例都处理 task 输入数据的一个子集。一个 task 的并发实例数被称为该 task 的 *parallelism*。
Review comment:
个人认为 “ parallelism”可以不用翻译
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[GitHub] [flink] ye-lun commented on a change in pull request #8995: [FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
ye-lun commented on a change in pull request #8995:
[FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
URL: https://github.com/apache/flink/pull/8995#discussion_r301446109
##
File path: docs/dev/parallel.zh.md
##
@@ -22,29 +22,20 @@ specific language governing permissions and limitations
under the License.
-->
-This section describes how the parallel execution of programs can be
configured in Flink. A Flink
-program consists of multiple tasks (transformations/operators, data sources,
and sinks). A task is split into
-several parallel instances for execution and each parallel instance processes
a subset of the task's
-input data. The number of parallel instances of a task is called its
*parallelism*.
-
-If you want to use [savepoints]({{ site.baseurl }}/ops/state/savepoints.html)
you should also consider
-setting a maximum parallelism (or `max parallelism`). When restoring from a
savepoint you can
-change the parallelism of specific operators or the whole program and this
setting specifies
-an upper bound on the parallelism. This is required because Flink internally
partitions state
-into key-groups and we cannot have `+Inf` number of key-groups because this
would be detrimental
-to performance.
+本节描述了如何在 Flink 中配置程序的并发执行。一个 Flink 程序由多个任务 task 组成（转换/算子、数据源和数据汇）。一个 task
包括多个并发执行的实例，且每一个实例都处理 task 输入数据的一个子集。一个 task 的并发实例数被称为该 task 的 *parallelism*。
Review comment:
@klion26 what is your option about this?
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[GitHub] [flink] ye-lun commented on a change in pull request #8995: [FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
ye-lun commented on a change in pull request #8995:
[FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
URL: https://github.com/apache/flink/pull/8995#discussion_r301445869
##
File path: docs/dev/parallel.zh.md
##
@@ -22,29 +22,20 @@ specific language governing permissions and limitations
under the License.
-->
-This section describes how the parallel execution of programs can be
configured in Flink. A Flink
-program consists of multiple tasks (transformations/operators, data sources,
and sinks). A task is split into
-several parallel instances for execution and each parallel instance processes
a subset of the task's
-input data. The number of parallel instances of a task is called its
*parallelism*.
-
-If you want to use [savepoints]({{ site.baseurl }}/ops/state/savepoints.html)
you should also consider
-setting a maximum parallelism (or `max parallelism`). When restoring from a
savepoint you can
-change the parallelism of specific operators or the whole program and this
setting specifies
-an upper bound on the parallelism. This is required because Flink internally
partitions state
-into key-groups and we cannot have `+Inf` number of key-groups because this
would be detrimental
-to performance.
+本节描述了如何在 Flink 中配置程序的并发执行。一个 Flink 程序由多个任务 task 组成（转换/算子、数据源和数据汇）。一个 task
包括多个并发执行的实例，且每一个实例都处理 task 输入数据的一个子集。一个 task 的并发实例数被称为该 task 的 *parallelism*。
Review comment:
@wuchong in this page
"https://cwiki.apache.org/confluence/display/FLINK/Flink+Translation+Specifications;
I find that
"当单词是指代码中的属性名、方法名、对象名、类名、标签名等时，可以不译。例如 "parallelism parameter"
不需要翻译成“并发参数”，而是应为“parallelism 属性”。"
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[GitHub] [flink] ye-lun commented on a change in pull request #8995: FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
ye-lun commented on a change in pull request #8995:
FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
URL: https://github.com/apache/flink/pull/8995#discussion_r301361276
##
File path: docs/dev/parallel.zh.md
##
@@ -168,26 +168,7 @@ try {
最大 parallelism 可以在所有设置 parallelism 的地方进行设定（客户端和系统层次除外）。与调用 `setParallelism()`
方法修改并发度相似，你可以通过调用 `setMaxParallelism()` 方法来设定最大 parallelism。
-默认的最大 parallelism 等于将 operatorParallelism + (operatorParallelism / 2） 值舍入到其下一个
`2` 的幂次方的值，其计算方式如以下所示。
-
-{% highlight scala %}
- /**
-* Round the given number to the next power of two.
-* @param x number is the value of 'operatorParallelism +
(operatorParallelism / 2)'
-* @return x rounded up to the next power of two
-*/
- public static int roundUpToPowerOfTwo(int x) {
- x = x - 1;
- x |= x >> 1;
- x |= x >> 2;
- x |= x >> 4;
- x |= x >> 8;
- x |= x >> 16;
- return x + 1;
- }
-{% endhighlight %}
-
-注意，默认最大 parallelism 下限为 `128`，上限为 `32768`。
+默认的最大 parallelism 等于将 `operatorParallelism + (operatorParallelism / 2）`
值四舍五入到大于等于该值的一个整型值，并且这个整型值是 `2` 的幂次方，注意默认最大 parallelism 下限为 `128`，上限为 `32768`。
Review comment:
ok,thanks
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[GitHub] [flink] ye-lun commented on a change in pull request #8995: FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
ye-lun commented on a change in pull request #8995:
FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
URL: https://github.com/apache/flink/pull/8995#discussion_r300900856
##
File path: docs/dev/parallel.zh.md
##
@@ -177,25 +159,19 @@ try {
-### System Level
+### 系统层次
+
+可以通过设置 ./conf/flink-conf.yaml 文件中的 parallelism.default 参数，在系统层次来指定所有执行环境的默认
parallelism。你可以通过查阅[配置文档]({{ site.baseurl }}/zh/ops/config.html)获取更多细节。
-A system-wide default parallelism for all execution environments can be
defined by setting the
-`parallelism.default` property in `./conf/flink-conf.yaml`. See the
-[Configuration]({{ site.baseurl }}/ops/config.html) documentation for details.
-## Setting the Maximum Parallelism
+## 设置最大并发度
-The maximum parallelism can be set in places where you can also set a
parallelism
-(except client level and system level). Instead of calling `setParallelism()`
you call
-`setMaxParallelism()` to set the maximum parallelism.
+最大 parallelism 可以在所有设置 parallelism 的地方进行设定（除了客户端和系统层次）。与调用 `setParallelism()`
方法修改并发度相似，你可以通过调用 `setMaxParallelism()` 方法来设定最大 parallelism。
-The default setting for the maximum parallelism is roughly
`operatorParallelism + (operatorParallelism / 2)` with
-a lower bound of `127` and an upper bound of `32768`.
+默认的最大 parallelism 大致等于算子的 parallelism + 算子的
Review comment:
what you mean is that "operatorParallelism + (operatorParallelism / 2)" can
not translate ? and
translate by the code from "KeyGroupRangeAssignment::
computeDefaultMaxParallelism()"?
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[GitHub] [flink] ye-lun commented on a change in pull request #8995: FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
ye-lun commented on a change in pull request #8995:
FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
URL: https://github.com/apache/flink/pull/8995#discussion_r300833751
##
File path: docs/dev/parallel.zh.md
##
@@ -22,29 +22,20 @@ specific language governing permissions and limitations
under the License.
-->
-This section describes how the parallel execution of programs can be
configured in Flink. A Flink
-program consists of multiple tasks (transformations/operators, data sources,
and sinks). A task is split into
-several parallel instances for execution and each parallel instance processes
a subset of the task's
-input data. The number of parallel instances of a task is called its
*parallelism*.
-
-If you want to use [savepoints]({{ site.baseurl }}/ops/state/savepoints.html)
you should also consider
-setting a maximum parallelism (or `max parallelism`). When restoring from a
savepoint you can
-change the parallelism of specific operators or the whole program and this
setting specifies
-an upper bound on the parallelism. This is required because Flink internally
partitions state
-into key-groups and we cannot have `+Inf` number of key-groups because this
would be detrimental
-to performance.
+本节描述了如何在 Flink 中配置程序的并发执行。一个 Flink 程序由多个任务 task 组成（转换/算子、数据源和数据流出）。一个 task
包括多个并发执行的实例，且每一个实例都处理某个 task 输入数据的一个子集。一个 task 的并发实例数被称为该 task 的 parallelism。
Review comment:
yes, what you say is logical。
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[GitHub] [flink] ye-lun commented on a change in pull request #8995: FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
ye-lun commented on a change in pull request #8995:
FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
URL: https://github.com/apache/flink/pull/8995#discussion_r300821436
##
File path: docs/dev/parallel.zh.md
##
@@ -177,25 +159,18 @@ try {
-### System Level
+### 系统层次
-A system-wide default parallelism for all execution environments can be
defined by setting the
-`parallelism.default` property in `./conf/flink-conf.yaml`. See the
-[Configuration]({{ site.baseurl }}/ops/config.html) documentation for details.
+可以通过设置 ./conf/flink-conf.yaml 文件中的 parallelism.default 参数，在系统层次来指定所有执行环境的默认
parallelism。你可以通过查阅 [配置文档]({{ site.baseurl }}/zh/ops/config.html) 获取更多细节。
+获取更多细节。
-## Setting the Maximum Parallelism
+## 设置最大并发度
-The maximum parallelism can be set in places where you can also set a
parallelism
-(except client level and system level). Instead of calling `setParallelism()`
you call
-`setMaxParallelism()` to set the maximum parallelism.
+最大 parallelism 可以在所有设置 parallelism 的地方进行设定（除了客户端和系统层次）。与调用 `setParallelism()`
方法修改并发度相似，你可以通过调用 `setMaxParallelism()` 方法来设定最大 parallelism。
-The default setting for the maximum parallelism is roughly
`operatorParallelism + (operatorParallelism / 2)` with
-a lower bound of `127` and an upper bound of `32768`.
+默认的最大 parallelism 大致等于算子的 parallelism + 算子的 parallelism/2，其下限为 127，上限为 32768。
Review comment:
ok
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[GitHub] [flink] ye-lun commented on a change in pull request #8995: FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
ye-lun commented on a change in pull request #8995:
FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
URL: https://github.com/apache/flink/pull/8995#discussion_r300821012
##
File path: docs/dev/parallel.zh.md
##
@@ -177,25 +159,18 @@ try {
-### System Level
+### 系统层次
-A system-wide default parallelism for all execution environments can be
defined by setting the
-`parallelism.default` property in `./conf/flink-conf.yaml`. See the
-[Configuration]({{ site.baseurl }}/ops/config.html) documentation for details.
+可以通过设置 ./conf/flink-conf.yaml 文件中的 parallelism.default 参数，在系统层次来指定所有执行环境的默认
parallelism。你可以通过查阅 [配置文档]({{ site.baseurl }}/zh/ops/config.html) 获取更多细节。
+获取更多细节。
-## Setting the Maximum Parallelism
+## 设置最大并发度
-The maximum parallelism can be set in places where you can also set a
parallelism
-(except client level and system level). Instead of calling `setParallelism()`
you call
-`setMaxParallelism()` to set the maximum parallelism.
+最大 parallelism 可以在所有设置 parallelism 的地方进行设定（除了客户端和系统层次）。与调用 `setParallelism()`
方法修改并发度相似，你可以通过调用 `setMaxParallelism()` 方法来设定最大 parallelism。
-The default setting for the maximum parallelism is roughly
`operatorParallelism + (operatorParallelism / 2)` with
-a lower bound of `127` and an upper bound of `32768`.
+默认的最大 parallelism 大致等于算子的 parallelism + 算子的 parallelism/2，其下限为 127，上限为 32768。
-Attention Setting the maximum
parallelism to a very large
-value can be detrimental to performance because some state backends have to
keep internal data
-structures that scale with the number of key-groups (which are the internal
implementation mechanism for
-rescalable state).
+注意 为最大 parallelism
设置一个非常大的值将会降低性能，因为一些 state backends 需要维持内部的数据结构，而这些数据结构将会随着 key-groups
的数目而扩张（key-groups 是 rescalable state 内部实现机制）
Review comment:
yes
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[GitHub] [flink] ye-lun commented on a change in pull request #8995: FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
ye-lun commented on a change in pull request #8995:
FLINK-13106][doc-zh]Translate Parallel Execution page into Chinese
URL: https://github.com/apache/flink/pull/8995#discussion_r300820989
##
File path: docs/dev/parallel.zh.md
##
@@ -22,29 +22,20 @@ specific language governing permissions and limitations
under the License.
-->
-This section describes how the parallel execution of programs can be
configured in Flink. A Flink
-program consists of multiple tasks (transformations/operators, data sources,
and sinks). A task is split into
-several parallel instances for execution and each parallel instance processes
a subset of the task's
-input data. The number of parallel instances of a task is called its
*parallelism*.
-
-If you want to use [savepoints]({{ site.baseurl }}/ops/state/savepoints.html)
you should also consider
-setting a maximum parallelism (or `max parallelism`). When restoring from a
savepoint you can
-change the parallelism of specific operators or the whole program and this
setting specifies
-an upper bound on the parallelism. This is required because Flink internally
partitions state
-into key-groups and we cannot have `+Inf` number of key-groups because this
would be detrimental
-to performance.
+本节描述了如何在 Flink 中配置程序的并发执行。一个 Flink 程序由多个任务 task 组成（转换/算子、数据源和数据流出）。一个 task
包括多个并发执行的实例，且每一个实例都处理某个 task 输入数据的一个子集。一个 task 的并发实例数被称为该 task 的 parallelism。
Review comment:
I think "流出" is better than "汇"
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