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commit d3d98ccfa96a9646a47906132b98498db81c1718
Author: Pei He <p...@apache.org>
AuthorDate: Wed Sep 13 10:27:22 2017 +0800
fixup: address comments.
---
src/_data/capability-matrix.yml | 12 ++++++------
src/documentation/runners/mapreduce.md | 2 --
2 files changed, 6 insertions(+), 8 deletions(-)
diff --git a/src/_data/capability-matrix.yml b/src/_data/capability-matrix.yml
index 191679e..42fb1d0 100644
--- a/src/_data/capability-matrix.yml
+++ b/src/_data/capability-matrix.yml
@@ -576,8 +576,8 @@ categories:
l2: ''
l3: ''
- class: mapreduce
- l1: 'Yes'
- l2: Intermediate trigger firings are effectively meaningless.
+ l1: 'No'
+ l2: It is a batch-only runner, and intermediate trigger firings
are effectively meaningless.
l3: ''
- name: Event-time triggers
@@ -607,7 +607,7 @@ categories:
l2: fully supported
l3: ''
- class: mapreduce
- l1: 'Yes'
+ l1: ''
l2: Currently watermark progress jumps from the beginning of time
to the end of time once the input has been fully consumed, thus no additional
triggering granularity is available.
l3: ''
@@ -638,7 +638,7 @@ categories:
l2: ''
l3: ''
- class: mapreduce
- l1: 'Yes'
+ l1: ''
l2: From the perspective of triggers, processing time currently
jumps from the beginning of time to the end of time once the input has been
fully consumed, thus no additional triggering granularity is available.
l3: ''
@@ -669,7 +669,7 @@ categories:
l2: ''
l3: ''
- class: mapreduce
- l1: 'Yes'
+ l1: ''
l2: Elements are processed in the largest bundles possible, so
count-based triggers are effectively meaningless.
l3: ''
@@ -763,7 +763,7 @@ categories:
l2: fully supported
l3: ''
- class: mapreduce
- l1: 'Yes'
+ l1: ''
l2: No data is ever late.
l3: ''
diff --git a/src/documentation/runners/mapreduce.md
b/src/documentation/runners/mapreduce.md
index 8773025..f863ca5 100644
--- a/src/documentation/runners/mapreduce.md
+++ b/src/documentation/runners/mapreduce.md
@@ -1,8 +1,6 @@
---
layout: default
title: "Apache Hadoop MapReduce Runner"
-permalink: /documentation/runners/mapreduce/
-redirect_from: /learn/runners/mapreduce/
---
# Using the Apache Hadoop MapReduce Runner
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