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commit 6defbe2279ac707ed048a47dca758907d24fffd2
Author: Eugene Kirpichov <kirpic...@google.com>
AuthorDate: Fri Jun 23 11:05:10 2017 -0700

    Includes Splittable DoFn in the capability matrix
---
 src/_data/capability-matrix.yml | 28 +++++++++++++++++++++++++++-
 1 file changed, 27 insertions(+), 1 deletion(-)

diff --git a/src/_data/capability-matrix.yml b/src/_data/capability-matrix.yml
index 516033c..775e0da 100644
--- a/src/_data/capability-matrix.yml
+++ b/src/_data/capability-matrix.yml
@@ -185,7 +185,7 @@ categories:
           - class: dataflow
             l1: 'Yes'
             l2: fully supported
-            l3: 
+            l3: Support includes autotuning features 
(https://cloud.google.com/dataflow/service/dataflow-service-desc#autotuning-features).
           - class: flink
             l1: 'Yes'
             l2: fully supported
@@ -202,6 +202,32 @@ categories:
             l1: 'Yes'
             l2: fully supported
             l3: ''
+      - name: Splittable DoFn
+        values:
+          - class: model
+            l1: 'Partially'
+            l2: DoFn where processing of each element can be split for 
parallelism, or suspended and resumed
+            l3: Allows users to develop DoFn's that process a single element 
in portions ("restrictions"), executed in parallel or sequentially. This 
supersedes the unbounded and bounded `Source` APIs by supporting all of their 
features on a per-element basis. See http://s.apache.org/splittable-do-fn. 
Design is in progress on achieving parity with Source API regarding progress 
signals.
+          - class: dataflow
+            l1: 'Partially'
+            l2: supported in streaming mode
+            l3: Supports checkpointing (sequentially processing an element 
over several, potentially infinitely many calls). Does not yet support 
autotuning features of the Source API.
+          - class: flink
+            l1: 'No'
+            l2: implementation in streaming mode coming soon
+            l3:
+          - class: spark
+            l1: 'No'
+            l2: not implemented
+            l3:
+          - class: apex
+            l1: 'No'
+            l2: implementation in streaming mode coming soon
+            l3:
+          - class: gearpump
+            l1: 'No'
+            l2: not implemented
+            l3:
       - name: Metrics
         values:
           - class: model

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