rosetn commented on a change in pull request #13160:
URL: https://github.com/apache/beam/pull/13160#discussion_r510318072



##########
File path: website/www/site/content/en/documentation/programming-guide.md
##########
@@ -5143,3 +5143,282 @@ perUser.apply(ParDo.of(new DoFn<KV<String, ValueT>, 
OutputT>() {
   }
 }));
 {{< /highlight >}}
+
+## 12 Splittable DoFns {#splittable-dofns}
+
+Splittable DoFns (SDFs) enable users to create modular components containing 
I/Os (and some advanced
+[non I/O use 
cases](https://s.apache.org/splittable-do-fn#heading=h.5cep9s8k4fxv)). Having 
modular
+I/O components that can be connected to each other simplify typical patterns 
that users want.
+For example, a popular use case is to read filenames from a message queue 
followed by parsing those
+files. Traditionally users were required to either write a single I/O 
connector that contained the
+logic for the message queue and the file reader (increased complexity) or 
choose to reuse a message
+queue I/O followed by a regular DoFn that read the file (decreased 
performance). With splittable DoFns,
+we bring the richness of Apache Beam’s I/O APIs to DoFns enabling modularity 
while maintaining the
+performance of traditional I/O connectors.
+
+### 12.1 Splittable DoFn basics {#splittable-dofn-basics}
+
+At a high level, a splittable DoFn is responsible for processing element and 
restriction pairs. A
+restriction represents a subset of work that would have been necessary to have 
been done when
+processing the element.
+
+Executing a splittable DoFn follows the following steps:
+
+1. Each element is paired with a restriction (e.g. filename is paired with 
offset range representing the whole file).
+2. Each element and restriction pair is split (e.g. offset ranges are broken 
up into smaller pieces).
+3. The runner redistributes the element and restriction pairs to several 
workers.
+4. Element and restriction pairs are processed in parallel (e.g. the file is 
read).
+
+![Diagram of steps that a splittable DoFn is composed 
of](/images/sdf_high_level_overview.svg)
+
+Within the last step, the element and restriction pair can pause its own 
processing and/or be split into
+further element and restriction pairs. This last step is what enables I/O-like 
capabilities for DoFns.
+
+
+#### 12.1.1 A basic splittable DoFn {#a-basic-splittable-dofn}
+
+A basic splittable DoFn is composed of three parts: a restriction, a 
restriction provider, and a

Review comment:
       The class `DoFn` should be in code font when it's within the text. I see 
that this is inconsistently applied in the programming guide, but let's make 
the changes in at least this section. 
https://developers.google.com/style/code-in-text

##########
File path: website/www/site/content/en/documentation/programming-guide.md
##########
@@ -5143,3 +5143,282 @@ perUser.apply(ParDo.of(new DoFn<KV<String, ValueT>, 
OutputT>() {
   }
 }));
 {{< /highlight >}}
+
+## 12 Splittable DoFns {#splittable-dofns}
+
+Splittable DoFns (SDFs) enable users to create modular components containing 
I/Os (and some advanced
+[non I/O use 
cases](https://s.apache.org/splittable-do-fn#heading=h.5cep9s8k4fxv)). Having 
modular
+I/O components that can be connected to each other simplify typical patterns 
that users want.
+For example, a popular use case is to read filenames from a message queue 
followed by parsing those
+files. Traditionally users were required to either write a single I/O 
connector that contained the

Review comment:
       Add comma
   
   Traditionally, users

##########
File path: website/www/site/content/en/documentation/programming-guide.md
##########
@@ -5143,3 +5143,282 @@ perUser.apply(ParDo.of(new DoFn<KV<String, ValueT>, 
OutputT>() {
   }
 }));
 {{< /highlight >}}
+
+## 12 Splittable DoFns {#splittable-dofns}

Review comment:
       Also add them for each header. This stopped in the last two sections, 
but we can keep it consistent with the rest of the programming guide here.

##########
File path: website/www/site/content/en/documentation/programming-guide.md
##########
@@ -5143,3 +5143,282 @@ perUser.apply(ParDo.of(new DoFn<KV<String, ValueT>, 
OutputT>() {
   }
 }));
 {{< /highlight >}}
+
+## 12 Splittable DoFns {#splittable-dofns}
+
+Splittable DoFns (SDFs) enable users to create modular components containing 
I/Os (and some advanced
+[non I/O use 
cases](https://s.apache.org/splittable-do-fn#heading=h.5cep9s8k4fxv)). Having 
modular
+I/O components that can be connected to each other simplify typical patterns 
that users want.
+For example, a popular use case is to read filenames from a message queue 
followed by parsing those
+files. Traditionally users were required to either write a single I/O 
connector that contained the
+logic for the message queue and the file reader (increased complexity) or 
choose to reuse a message
+queue I/O followed by a regular DoFn that read the file (decreased 
performance). With splittable DoFns,
+we bring the richness of Apache Beam’s I/O APIs to DoFns enabling modularity 
while maintaining the
+performance of traditional I/O connectors.
+
+### 12.1 Splittable DoFn basics {#splittable-dofn-basics}
+
+At a high level, a splittable DoFn is responsible for processing element and 
restriction pairs. A
+restriction represents a subset of work that would have been necessary to have 
been done when
+processing the element.
+
+Executing a splittable DoFn follows the following steps:
+
+1. Each element is paired with a restriction (e.g. filename is paired with 
offset range representing the whole file).
+2. Each element and restriction pair is split (e.g. offset ranges are broken 
up into smaller pieces).
+3. The runner redistributes the element and restriction pairs to several 
workers.
+4. Element and restriction pairs are processed in parallel (e.g. the file is 
read).
+
+![Diagram of steps that a splittable DoFn is composed 
of](/images/sdf_high_level_overview.svg)
+
+Within the last step, the element and restriction pair can pause its own 
processing and/or be split into
+further element and restriction pairs. This last step is what enables I/O-like 
capabilities for DoFns.
+
+
+#### 12.1.1 A basic splittable DoFn {#a-basic-splittable-dofn}
+
+A basic splittable DoFn is composed of three parts: a restriction, a 
restriction provider, and a
+restriction tracker. The restriction is used to represent a subset of work for 
a given element.
+The restriction provider lets SDF authors override default implementations for 
splitting, sizing,
+watermark estimation, and so forth. In 
[Java](https://github.com/apache/beam/blob/f4c2734261396858e388ebef2eef50e7d48231a8/sdks/java/core/src/main/java/org/apache/beam/sdk/transforms/DoFn.java#L92)
+and 
[Go](https://github.com/apache/beam/blob/0f466e6bcd4ac8677c2bd9ecc8e6af3836b7f3b8/sdks/go/pkg/beam/pardo.go#L226),
+this is the DoFn. 
[Python](https://github.com/apache/beam/blob/f4c2734261396858e388ebef2eef50e7d48231a8/sdks/python/apache_beam/transforms/core.py#L213)
+has a dedicated RestrictionProvider type. The restriction tracker is 
responsible for tracking
+what subset of the restriction has been completed during processing.
+
+To define a splittable DoFn, you must choose whether the splittable DoFn is 
bounded (default) or
+unbounded and define a way to initialize an initial restriction for an element.
+
+{{< highlight java >}}
+{{< code_sample 
"examples/java/src/main/java/org/apache/beam/examples/snippets/Snippets.java" 
SDF_BasicExample >}}
+{{< /highlight >}}
+
+{{< highlight py >}}
+{{< code_sample "sdks/python/apache_beam/examples/snippets/snippets.py" 
SDF_BasicExample >}}
+{{< /highlight >}}
+
+{{< highlight go >}}
+func (fn *splittableDoFn) CreateInitialRestriction(filename string) 
offsetrange.Restriction {
+       return offsetrange.Restriction{
+               Start: 0,
+               End:   getFileLength(filename),
+       }
+}
+
+func (fn *splittableDoFn) CreateTracker(rest offsetrange.Restriction) 
*sdf.LockRTracker {
+       return sdf.NewLockRTracker(offsetrange.NewTracker(rest))
+}
+
+func (fn *splittableDoFn) ProcessElement(rt *sdf.LockRTracker, filename 
string, emit func(int)) error {
+            file, err := os.Open(filename)
+       if err != nil {
+               return err
+       }
+       offset, err := seekToNextRecordBoundaryInFile(file, 
rt.GetRestriction().(offsetrange.Restriction).Start)
+
+       if err != nil {
+               return err
+       }
+       for rt.TryClaim(offset) {
+               record, newOffset := readNextRecord(file)
+               emit(record)
+               offset = newOffset
+       }
+       return nil
+}
+{{< /highlight >}}
+
+At this point, we have a splittable DoFn that supports [runner-initiated 
splits](#runner-initiated-split)
+enabling dynamic work rebalancing. To increase the rate at which initial 
parallelization of work occurs
+or for those runners that do not support runner-initiated splitting, we 
recommend providing
+a set of initial splits:
+
+{{< highlight java >}}
+{{< code_sample 
"examples/java/src/main/java/org/apache/beam/examples/snippets/Snippets.java" 
SDF_BasicExampleWithSplitting >}}
+{{< /highlight >}}
+
+{{< highlight py >}}
+{{< code_sample "sdks/python/apache_beam/examples/snippets/snippets.py" 
SDF_BasicExampleWithSplitting >}}
+{{< /highlight >}}
+
+{{< highlight go >}}
+func (fn *splittableDoFn) SplitRestriction(filename string, rest 
offsetrange.Restriction) (splits []offsetrange.Restriction) {
+       size := 64 * (1 << 20)
+       i := rest.Start
+       for i < rest.End - size {
+               // Compute and output 64 MiB size ranges to process in parallel
+               end := i + size
+               splits = append(splits, offsetrange.Restriction{i, end})
+               i = end
+       }
+       // Output the last range
+       splits = append(splits, offsetrange.Restriction{i, rest.End})
+       return splits
+}
+{{< /highlight >}}
+
+### 12.2 Sizing and progress {#sizing-and-progress}
+
+Sizing and progress are used during execution of a splittable DoFn to inform 
runners so that they may
+perform intelligent decisions about which restrictions to split and how to 
parallelize work.
+
+Before processing an element and restriction, an initial size may be used by a 
runner to choose
+how and who processes the restrictions attempting to improve initial balancing 
and parallelization
+of work. During the processing of an element and restriction, sizing and 
progress are used to choose
+which restrictions to split and who should process them.
+
+By default, we use the restriction tracker’s estimate for work remaining 
falling back to assuming
+that all restrictions have an equal cost. To override the default, SDF authors 
can provide the
+appropriate method within the restriction provider.
+
+{{< highlight java >}}
+{{< code_sample 
"examples/java/src/main/java/org/apache/beam/examples/snippets/Snippets.java" 
SDF_GetSize >}}
+{{< /highlight >}}
+
+{{< highlight py >}}
+{{< code_sample "sdks/python/apache_beam/examples/snippets/snippets.py" 
SDF_GetSize >}}
+{{< /highlight >}}
+
+{{< highlight go >}}
+func (fn *splittableDoFn) RestrictionSize(filename string, rest 
offsetrange.Restriction) float64 {
+       weight := float64(1)
+       if strings.Contains(filename, “expensiveRecords”) {
+               weight = 2
+       }
+       return weight * rest.Size()
+}
+{{< /highlight >}}
+
+### 12.3 User initiated checkpoint {#user-initiated-checkpoint}

Review comment:
       User-initiated

##########
File path: website/www/site/content/en/documentation/programming-guide.md
##########
@@ -5143,3 +5143,282 @@ perUser.apply(ParDo.of(new DoFn<KV<String, ValueT>, 
OutputT>() {
   }
 }));
 {{< /highlight >}}
+
+## 12 Splittable DoFns {#splittable-dofns}
+
+Splittable DoFns (SDFs) enable users to create modular components containing 
I/Os (and some advanced
+[non I/O use 
cases](https://s.apache.org/splittable-do-fn#heading=h.5cep9s8k4fxv)). Having 
modular
+I/O components that can be connected to each other simplify typical patterns 
that users want.
+For example, a popular use case is to read filenames from a message queue 
followed by parsing those
+files. Traditionally users were required to either write a single I/O 
connector that contained the
+logic for the message queue and the file reader (increased complexity) or 
choose to reuse a message
+queue I/O followed by a regular DoFn that read the file (decreased 
performance). With splittable DoFns,
+we bring the richness of Apache Beam’s I/O APIs to DoFns enabling modularity 
while maintaining the
+performance of traditional I/O connectors.
+
+### 12.1 Splittable DoFn basics {#splittable-dofn-basics}
+
+At a high level, a splittable DoFn is responsible for processing element and 
restriction pairs. A
+restriction represents a subset of work that would have been necessary to have 
been done when
+processing the element.
+
+Executing a splittable DoFn follows the following steps:
+
+1. Each element is paired with a restriction (e.g. filename is paired with 
offset range representing the whole file).
+2. Each element and restriction pair is split (e.g. offset ranges are broken 
up into smaller pieces).
+3. The runner redistributes the element and restriction pairs to several 
workers.
+4. Element and restriction pairs are processed in parallel (e.g. the file is 
read).

Review comment:
       Can you add more explanation to the "Checkpoint/split" bubble in the 
diagram on this list?

##########
File path: website/www/site/content/en/documentation/programming-guide.md
##########
@@ -5143,3 +5143,282 @@ perUser.apply(ParDo.of(new DoFn<KV<String, ValueT>, 
OutputT>() {
   }
 }));
 {{< /highlight >}}
+
+## 12 Splittable DoFns {#splittable-dofns}
+
+Splittable DoFns (SDFs) enable users to create modular components containing 
I/Os (and some advanced
+[non I/O use 
cases](https://s.apache.org/splittable-do-fn#heading=h.5cep9s8k4fxv)). Having 
modular
+I/O components that can be connected to each other simplify typical patterns 
that users want.
+For example, a popular use case is to read filenames from a message queue 
followed by parsing those
+files. Traditionally users were required to either write a single I/O 
connector that contained the
+logic for the message queue and the file reader (increased complexity) or 
choose to reuse a message
+queue I/O followed by a regular DoFn that read the file (decreased 
performance). With splittable DoFns,
+we bring the richness of Apache Beam’s I/O APIs to DoFns enabling modularity 
while maintaining the
+performance of traditional I/O connectors.
+
+### 12.1 Splittable DoFn basics {#splittable-dofn-basics}
+
+At a high level, a splittable DoFn is responsible for processing element and 
restriction pairs. A
+restriction represents a subset of work that would have been necessary to have 
been done when
+processing the element.
+
+Executing a splittable DoFn follows the following steps:
+
+1. Each element is paired with a restriction (e.g. filename is paired with 
offset range representing the whole file).
+2. Each element and restriction pair is split (e.g. offset ranges are broken 
up into smaller pieces).
+3. The runner redistributes the element and restriction pairs to several 
workers.
+4. Element and restriction pairs are processed in parallel (e.g. the file is 
read).
+
+![Diagram of steps that a splittable DoFn is composed 
of](/images/sdf_high_level_overview.svg)
+
+Within the last step, the element and restriction pair can pause its own 
processing and/or be split into
+further element and restriction pairs. This last step is what enables I/O-like 
capabilities for DoFns.
+
+
+#### 12.1.1 A basic splittable DoFn {#a-basic-splittable-dofn}
+
+A basic splittable DoFn is composed of three parts: a restriction, a 
restriction provider, and a

Review comment:
       You can leave "SDF" in normal font

##########
File path: website/www/site/content/en/documentation/programming-guide.md
##########
@@ -5143,3 +5143,282 @@ perUser.apply(ParDo.of(new DoFn<KV<String, ValueT>, 
OutputT>() {
   }
 }));
 {{< /highlight >}}
+
+## 12 Splittable DoFns {#splittable-dofns}

Review comment:
       Missing period
   
   ## 12. Splittable `DoFns` {#splittable-dofns}




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