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From varunsax...@apache.org
Subject [34/50] [abbrv] hadoop git commit: YARN-5980. Update documentation for single node hbase deploy. Contributed by Vrushali C.
Date Tue, 25 Apr 2017 21:53:14 GMT
YARN-5980. Update documentation for single node hbase deploy. Contributed by Vrushali C.


Project: http://git-wip-us.apache.org/repos/asf/hadoop/repo
Commit: http://git-wip-us.apache.org/repos/asf/hadoop/commit/067354bb
Tree: http://git-wip-us.apache.org/repos/asf/hadoop/tree/067354bb
Diff: http://git-wip-us.apache.org/repos/asf/hadoop/diff/067354bb

Branch: refs/heads/YARN-5355
Commit: 067354bbd24c628cb878de6f6630b62ff064a3b1
Parents: ee3a415
Author: Sangjin Lee <sjlee@apache.org>
Authored: Fri Jan 13 09:12:48 2017 -0800
Committer: Varun Saxena <varunsaxena@apache.org>
Committed: Mon Apr 24 22:53:33 2017 +0530

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 .../src/site/markdown/TimelineServiceV2.md      | 63 +++++++++++++++++---
 1 file changed, 55 insertions(+), 8 deletions(-)
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http://git-wip-us.apache.org/repos/asf/hadoop/blob/067354bb/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/TimelineServiceV2.md
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diff --git a/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/TimelineServiceV2.md
b/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/TimelineServiceV2.md
index 62f84de..555658a 100644
--- a/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/TimelineServiceV2.md
+++ b/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/TimelineServiceV2.md
@@ -158,18 +158,64 @@ For more configurations used for cross-origin support, refer to [HttpAuthenticat
 ### <a name="Enabling_Timeline_Service_v2"></a>Enabling Timeline Service v.2
 
 #### Preparing Apache HBase cluster for storage
+There are a few steps to be done for preparing the storage for Timeline Service v.2:
+
+Step 1) [Set up the HBase cluster](#Set_up_the_HBase_cluster)
+
+Step 2) [Enable the coprocessor](#Enable_the_coprocessor)
+
+Step 3) [Create the schema for Timeline Service v.2](#Create_schema)
+
+Each step is explained in more detail below.
+
+##### <a name="Set_up_the_HBase_cluster"> </a>Step 1) Set up the HBase cluster
 The first part is to set up or pick an Apache HBase cluster to use as the storage cluster.
The
-version of Apache HBase that is supported with Timeline Service v.2 is 1.1.x. The 1.0.x versions
-do not work with Timeline Service v.2. The 1.2.x versions have not been tested.
+version of Apache HBase that is supported with Timeline Service v.2 is 1.2.4. The 1.0.x versions
+do not work with Timeline Service v.2. Later versions of HBase have not been tested with
+Timeline Service.
+
+HBase has different deployment modes. Refer to the HBase book for understanding them and
pick a
+mode that is suitable for your setup.
+(http://hbase.apache.org/book.html#standalone_dist)
+
+##### Simple deployment for HBase
+If you are intent on a simple deploy profile for the Apache HBase cluster
+where the data loading is light but the data needs to persist across node
+comings and goings, you could consider the "Standalone HBase over HDFS" deploy mode.
+
+This is a useful variation on the standalone HBase setup and has all HBase daemons running
inside
+one JVM but rather than persisting to the local filesystem, it persists to an HDFS instance.
+Writing to HDFS where data is replicated ensures that data is persisted across node
+comings and goings. To configure this standalone variant, edit your `hbase-site.xml` setting
+the `hbase.rootdir` to point at a directory in your HDFS instance but then set
+`hbase.cluster.distributed` to false. For example:
+
+```
+<configuration>
+  <property>
+    <name>hbase.rootdir</name>
+    <value>hdfs://namenode.example.org:8020/hbase</value>
+  </property>
+  <property>
+    <name>hbase.cluster.distributed</name>
+    <value>false</value>
+  </property>
+</configuration>
+```
+
+For more details on this mode, refer to
+http://hbase.apache.org/book.html#standalone.over.hdfs .
+
+Once you have an Apache HBase cluster ready to use, perform the following steps.
 
-Once you have an Apache HBase cluster ready to use for this purpose, perform the following
steps.
+##### <a name="Enable_the_coprocessor"> </a>Step 2) Enable the coprocessor
 
-First, add the timeline service jar to the HBase classpath in all HBase machines in the cluster.
It
+Step 2.1) Add the timeline service jar to the HBase classpath in all HBase machines in the
cluster. It
 is needed for the coprocessor as well as the schema creator. For example,
 
     cp hadoop-yarn-server-timelineservice-hbase-3.0.0-alpha1-SNAPSHOT.jar /usr/hbase/lib/
 
-Then, enable the coprocessor that handles the aggregation. To enable it, add the following
entry in
+Step 2.2) Enable the coprocessor that handles the aggregation. To enable it, add the following
entry in
 region servers' `hbase-site.xml` file (generally located in the `conf` directory) as follows:
 
 ```
@@ -179,10 +225,11 @@ region servers' `hbase-site.xml` file (generally located in the `conf`
directory
 </property>
 ```
 
-Restart the region servers and the master to pick up the timeline service jar as well as
the config
-change. In this version, the coprocessor is loaded statically (i.e. system coprocessor) as
opposed
-to a dynamically (table coprocessor).
+Step 2.3) Restart the region servers and the master to pick up the timeline service jar as
well
+as the config change. In this version, the coprocessor is loaded statically
+(i.e. system coprocessor) as opposed to a dynamically (table coprocessor).
 
+##### <a name="Create_schema"> </a>Step 3) Create the timeline service schema
 Finally, run the schema creator tool to create the necessary tables:
 
     bin/hbase org.apache.hadoop.yarn.server.timelineservice.storage.TimelineSchemaCreator


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