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From su...@apache.org
Subject [43/51] [abbrv] hadoop git commit: YARN-6484. Documenting the YARN Federation feature. (Carlo Curino via Subru).
Date Fri, 14 Jul 2017 19:03:45 GMT
YARN-6484. Documenting the YARN Federation feature. (Carlo Curino via Subru).


Project: http://git-wip-us.apache.org/repos/asf/hadoop/repo
Commit: http://git-wip-us.apache.org/repos/asf/hadoop/commit/897f406f
Tree: http://git-wip-us.apache.org/repos/asf/hadoop/tree/897f406f
Diff: http://git-wip-us.apache.org/repos/asf/hadoop/diff/897f406f

Branch: refs/heads/YARN-2915
Commit: 897f406fc1ec6c20cbbdca389e79cf99707e84e6
Parents: 502f409
Author: Subru Krishnan <subru@apache.org>
Authored: Tue May 30 18:20:32 2017 -0700
Committer: Subru Krishnan <subru@apache.org>
Committed: Fri Jul 14 11:43:48 2017 -0700

----------------------------------------------------------------------
 hadoop-project/src/site/site.xml                |   1 +
 .../src/site/markdown/Federation.md             | 232 +++++++++++++++++++
 .../hadoop-yarn-site/src/site/markdown/YARN.md  |   5 +-
 .../resources/images/amrmproxy_architecture.png | Bin 0 -> 35010 bytes
 .../images/federation_architecture.png          | Bin 0 -> 46964 bytes
 .../images/federation_sequence_diagram.png      | Bin 0 -> 47910 bytes
 6 files changed, 237 insertions(+), 1 deletion(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/hadoop/blob/897f406f/hadoop-project/src/site/site.xml
----------------------------------------------------------------------
diff --git a/hadoop-project/src/site/site.xml b/hadoop-project/src/site/site.xml
index ae3aef5..e7af227 100644
--- a/hadoop-project/src/site/site.xml
+++ b/hadoop-project/src/site/site.xml
@@ -138,6 +138,7 @@
       <item name="Reservation System" href="hadoop-yarn/hadoop-yarn-site/ReservationSystem.html"/>
       <item name="Graceful Decommission" href="hadoop-yarn/hadoop-yarn-site/GracefulDecommission.html"/>
       <item name="Opportunistic Containers" href="hadoop-yarn/hadoop-yarn-site/OpportunisticContainers.html"/>
+      <item name="YARN Federation" href="hadoop-yarn/hadoop-yarn-site/Federation.html"/>
     </menu>
 
     <menu name="YARN REST APIs" inherit="top">

http://git-wip-us.apache.org/repos/asf/hadoop/blob/897f406f/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/Federation.md
----------------------------------------------------------------------
diff --git a/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/Federation.md
b/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/Federation.md
new file mode 100644
index 0000000..c50ba76
--- /dev/null
+++ b/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/Federation.md
@@ -0,0 +1,232 @@
+<!---
+  Licensed under the Apache License, Version 2.0 (the "License");
+  you may not use this file except in compliance with the License.
+  You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing, software
+  distributed under the License is distributed on an "AS IS" BASIS,
+  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+  See the License for the specific language governing permissions and
+  limitations under the License. See accompanying LICENSE file.
+-->
+
+Hadoop: YARN Federation
+=======================
+
+<!-- MACRO{toc|fromDepth=0|toDepth=3} -->
+
+Purpose
+-------
+YARN is known to scale to thousands of nodes. The scalability of [YARN](./YARN.html) is determined
by the Resource Manager, and is proportional to number of nodes, active applications, active
containers, and frequency of heartbeat (of both nodes and applications). Lowering heartbeat
can provide scalability increase, but is detrimental to utilization (see old Hadoop 1.x experience).
+This document described a federation-based approach to scale a single YARN cluster to tens
of thousands of nodes, by federating multiple YARN sub-clusters.  The proposed approach is
to divide a large (10-100k nodes) cluster into smaller units called sub-clusters, each with
its own YARN RM and compute nodes. The federation system will stitch these sub-clusters together
and make them appear as one large YARN cluster to the applications.
+The applications running in this federated environment will see a single massive YARN cluster
and will be able to schedule tasks on any node of the federated cluster. Under the hood, the
federation system will negotiate with sub-clusters resource managers and provide resources
to the application. The goal is to allow an individual job to “span” sub-clusters seamlessly.
+
+This design is structurally scalable, as we bound the number of nodes each RM is responsible
for, and appropriate policies, will try to ensure that the majority of applications will reside
within a single sub-cluster, thus the number of applications each RM will see is also bounded.
This means we could almost linearly scale, by simply adding sub-clusters (as very little coordination
is needed across them).
+This architecture can provide very tight enforcement of scheduling invariants within each
sub-cluster (simply inherits from YARN), while continuous rebalancing across subcluster will
enforce (less strictly) that these properties are also respected at a global level (e.g.,
if a sub-cluster loses a large number of nodes, we could re-map queues to other sub-clusters
to ensure users running on the impaired sub-cluster are not unfairly affected).
+
+Federation is designed as a “layer” atop of existing YARN codebase, with limited changes
in the core YARN mechanisms.
+
+Assumptions:
+* We assume reasonably good connectivity across sub-clusters (e.g., we are not looking to
federate across DC yet, though future investigations of this are not excluded).
+* We rely on HDFS federation (or equivalently scalable DFS solutions) to take care of scalability
of the store side.
+
+
+Architecture
+------------
+OSS YARN has been known to scale up to about few thousand nodes. The proposed architecture
leverages the notion of federating a number of such smaller YARN clusters, referred to as
sub-clusters, into a larger federated YARN cluster comprising of tens of thousands of nodes.
+The applications running in this federated environment see a unified large YARN cluster and
will be able to schedule tasks on any nodes in the cluster. Under the hood, the federation
system will negotiate with sub-clusters RMs and provide resources to the application.  The
logical architecture in Figure 1 shows the main components that comprise the federated cluster,
which are described below.
+
+![YARN Federation Architecture | width=800](./images/federation_architecture.png)
+
+###YARN Sub-cluster
+A sub-cluster is a YARN cluster with up to few thousands nodes. The exact size of the sub-cluster
will be determined considering ease of deployment/maintenance, alignment
+with network or availability zones and general best practices.
+
+The sub-cluster YARN RM will run with work-preserving high-availability turned-on, i.e.,
we should be able to tolerate YARN RM, NM failures with minimal disruption.
+If the entire sub-cluster is compromised, external mechanisms will ensure that jobs are resubmitted
in a separate sub-cluster (this could eventually be included in the federation design).
+
+Sub-cluster is also the scalability unit in a federated environment. We can scale out the
federated environment by adding one or more sub-clusters.
+
+*Note*: by design each sub-cluster is a fully functional YARN RM, and its contribution to
the federation can be set to be only a fraction of its overall capacity,
+i.e. a sub-cluster can have a “partial” commitment to the federation, while retaining
the ability to give out part of its capacity in a completely local way.
+
+###Router
+YARN applications are submitted to one of the Routers, which in turn applies a routing policy
(obtained from the Policy Store), queries the State Store for the sub-cluster
+URL and redirects the application submission request to the appropriate sub-cluster RM. We
call the sub-cluster where the job is started the “home sub-cluster”, and we call
+“secondary sub-clusters” all other sub-cluster a job is spanning on.
+The Router exposes the ApplicationClientProtocol to the outside world, transparently hiding
the presence of multiple RMs. To achieve this the Router also persists the mapping
+between the application and its home sub-cluster into the State Store. This allows Routers
to be soft-state while supporting user requests cheaply, as any Router can recover
+this application to home sub-cluster mapping and direct requests to the right RM without
broadcasting them. For performance caching and session stickiness might be advisable.
+
+###AMRMProxy
+The AMRMProxy is a key component to allow the application to scale and run across sub-clusters.
The AMRMProxy runs on all the NM machines and acts as a proxy to the
+YARN RM for the AMs by implementing the ApplicationMasterProtocol. Applications will not
be allowed to communicate with the sub-cluster RMs directly. They are forced
+by the system to connect only to the AMRMProxy endpoint, which would provide transparent
access to multiple YARN RMs (by dynamically routing/splitting/merging the communications).
+At any one time, a job can span across one home sub-cluster and multiple secondary sub-clusters,
but the policies operating in the AMRMProxy try to limit the footprint of each job
+to minimize overhead on the scheduling infrastructure (more in section on scalability/load).
The interceptor chain architecture of the ARMMProxy is showing in figure.
+
+![Architecture of the AMRMProxy interceptor chain | width=800](./images/amrmproxy_architecture.png)
+
+*Role of AMRMProxy*
+1. Protect the sub-cluster YARN RMs from misbehaving AMs. The AMRMProxy can prevent DDOS
attacks by throttling/killing AMs that are asking too many resources.
+2. Mask the multiple YARN RMs in the cluster, and can transparently allow the AM to span
across sub-clusters. All container allocations are done by the YARN RM framework that consists
of the AMRMProxy fronting the home and other sub-cluster RMs.
+3. Intercepts all the requests, thus it can enforce application quotas, which would not be
enforceable by sub-cluster RM (as each only see a fraction of the AM requests).
+4. The AMRMProxy can enforce load-balancing / overflow policies.
+
+###Global Policy Generator
+Global Policy Generator overlooks the entire federation and ensures that the system is configured
and tuned properly all the time.
+A key design point is that the cluster availability does not depends on an always-on GPG.
The GPG operates continuously but out-of-band from all cluster operations,
+and provide us with a unique vantage point, that allows to enforce global invariants, affect
load balancing, trigger draining of sub-clusters that will undergo maintenance, etc.
+More precisely the GPG will update user capacity allocation-to-subcluster mappings, and more
rarely change the policies that run in Routers, AMRMProxy (and possible RMs).
+
+In case the GPG is not-available, cluster operations will continue as of the last time the
GPG published policies, and while a long-term unavailability might mean some
+of the desirable properties of balance, optimal cluster utilization and global invariants
might drift away, compute and access to data will not be compromised.
+
+*NOTE*: In the current implementation the GPG is a manual tuning process, simply exposed
via a CLI (YARN-3657).
+
+
+###Federation State-Store
+The Federation State defines the additional state that needs to be maintained to loosely
couple multiple individual sub-clusters into a single large federated cluster. This includes
the following information:
+
+####Sub-cluster Membership
+The member YARN RMs continuously heartbeat to the state store to keep alive and publish their
current capability/load information.  This information is used by the
+Global Policy Generator (GPG) to make proper policy decisions. Also this information can
be used by routers to select the best home sub-cluster.  This mechanism allows
+us to dynamically grow/shrink the “cluster fleet” by adding or removing sub-clusters.
 This also allows for easy maintenance of each sub-cluster. This is new functionality
+that needs to be added to the YARN RM but the mechanisms are well understood as it’s similar
to individual YARN RM HA.
+
+####Application’s Home Sub-cluster
+The sub-cluster on which the Application Master (AM) runs is called the Application’s “home
sub-cluster”. The AM is not limited to resources from the home sub-cluster
+but can also request resources from other sub-clusters, referred to as secondary sub-clusters.
+The federated environment will be configured and tuned periodically such that when an AM
is placed on a sub-cluster, it should be able to find most of the resources
+on the home sub-cluster. Only in certain cases it should need to ask for resources from other
sub-clusters.
+
+###Federation Policy Store
+The federation Policy Store is a logically separate store (while it might be backed
+by the same physical component), which contains information about how applications and
+resource requests are routed to different sub-clusters. The current implementation provides
+several policies, ranging from random/hashing/roundrobin/priority to more sophisticated
+ones which account for sub-cluster load, and request locality needs.
+
+
+Running Applications across Sub-Clusters
+----------------------------------------
+
+When an application is submitted, the system will determine the most appropriate sub-cluster
to run the application,
+which we call as the application’s home sub-cluster. All the communications from the AM
to the RM will be proxied via
+the AMRMProxy running locally on the AM machine.
+AMRMProxy exposes the same ApplicationMasterService protocol endpoint as the YARN RM. The
AM can request containers
+using the locality information exposed by the storage layer. In ideal case, the application
will be placed on a sub-cluster
+where all the resources and data required by the application will be available, but if it
does need containers on nodes in
+other sub-clusters, AMRMProxy will negotiate with the RMs of those sub-clusters transparently
and provide the resources to
+the application, thereby enabling the application to view the entire federated environment
as one massive YARN cluster.
+AMRMProxy, Global Policy Generator (GPG) and Router work together to make this happen seamlessly.
+
+![Federation Sequence Diagram | width=800](./images/federation_sequence_diagram.png)
+
+
+The figure shows a sequence diagram for the following job execution flow:
+1. The Router receives an application submission request that is complaint to the YARN Application
Client Protocol.
+2. The router interrogates a routing table / policy to choose the “home RM” for the job
(the policy configuration is received from the state-store on heartbeat).
+3. The router queries the membership state to determine the endpoint of the home RM.
+4. The router then redirects the application submission request to the home RM.
+5. The router updates the application state with the home sub-cluster identifier.
+6. Once the application is submitted to the home RM, the stock YARN flow is triggered, i.e.
the application is added to the scheduler queue and its AM started in the home sub-cluster,
on the first NodeManager that has available resources.
+    a. During this process, the AM environment is modified by indicating that the address
of the AMRMProxy as the YARN RM to talk to.
+    b. The security tokens are also modified by the NM when launching the AM, so that the
AM can only talk with the AMRMProxy. Any future communication from AM to the YARN RM is mediated
by the AMRMProxy.
+7. The AM will then request containers using the locality information exposed by HDFS.
+8. Based on a policy the AMRMProxy can impersonate the AM on other sub-clusters, by submitting
an Unmanaged AM, and by forwarding the AM heartbeats to relevant sub-clusters.
+9. The AMRMProxy will use both locality information and a pluggable policy configured in
the state-store to decide whether to forward the resource requests received by the AM to the
Home RM or to one (or more) Secondary RMs. In Figure 1, we show the case in which the AMRMProxy
decides to forward the request to the secondary RM.
+10. The secondary RM will provide the AMRMProxy with valid container tokens to start a new
container on some node in its sub-cluster. This mechanism ensures that each sub-cluster uses
its own security tokens and avoids the need for a cluster wide shared secret to create tokens.
+11. The AMRMProxy forwards the allocation response back to the AM.
+12. The AM starts the container on the target NodeManager (on sub-cluster 2) using the standard
YARN protocols.
+
+
+
+
+Configuration
+-------------
+
+  To configure the `YARN` to use the `Federation`, set the following property in the **conf/yarn-site.xml**:
+
+###EVERYWHERE:
+
+These are common configurations that should appear in the **conf/yarn-site.xml** at each
machine in the federation.
+
+
+| Property | Example | Description |
+|:---- |:---- |
+|`yarn.federation.enabled` | `true` | Whether federation is enabled or not |
+|`yarn.federation.state-store.class` | `org.apache.hadoop.yarn.server.federation.store.impl.SQLFederationStateStore`
| The type of state-store to use. |
+|`yarn.federation.state-store.sql.url` | `jdbc:sqlserver://<host>:<port>;database`
| For SQLFederationStateStore the name of the DB where the state is stored. |
+|`yarn.federation.state-store.sql.jdbc-class` | `com.microsoft.sqlserver.jdbc.SQLServerDataSource`
| For SQLFederationStateStore the jdbc class to use. |
+|`yarn.federation.state-store.sql.username` | `<dbuser>` | For SQLFederationStateStore
the username for the DB connection. |
+|`yarn.federation.state-store.sql.password` | `<dbpass>` | For SQLFederationStateStore
the password for the DB connection. |
+|`yarn.resourcemanager.cluster-id` | `<unique-subcluster-id>` | The unique subcluster
identifier for this RM (same as the one used for HA). |
+
+
+Optional:
+
+| Property | Example | Description |
+|:---- |:---- |
+|`yarn.federation.failover.enabled` | `true` | Whether should retry considering RM failover
within each subcluster. |
+|`yarn.federation.blacklist-subclusters` | `<subcluster-id>` | A list of black-listed
sub-clusters, useful to disable a sub-cluster |
+|`yarn.federation.policy-manager` | `org.apache.hadoop.yarn.server.federation.policies.manager.WeightedLocalityPolicyManager`
| The choice of policy manager determines how Applications and ResourceRequests are routed
through the system. |
+|`yarn.federation.policy-manager-params` | `<binary>` | The payload that configures
the policy. In our example a set of weights for router and amrmproxy policies. This is typically
generated by serializing a policymanager that has been configured programmatically, or by
populating the state-store with the .json serialized form of it. |
+|`yarn.federation.subcluster-resolver.class` | `org.apache.hadoop.yarn.server.federation.resolver.DefaultSubClusterResolverImpl`
| The class used to resolve which subcluster a node belongs to, and which subcluster(s) a
rack belongs to. |
+| `yarn.federation.machine-list` | `node1,subcluster1,rack1\n node2 , subcluster2, RACK1\n
noDE3,subcluster3, rack2\n node4, subcluster3, rack2\n` | a list of Nodes, Sub-clusters, Rack,
used by the `DefaultSubClusterResolverImpl` |
+
+###ON RMs:
+
+These are extra configurations that should appear in the **conf/yarn-site.xml** at each ResourceManager.
+
+| Property | Example | Description |
+|:---- |:---- |
+|`yarn.resourcemanager.epoch` | `<unique-epoch>` | The seed value for the epoch. This
is used to guarantee uniqueness of container-IDs generate by different RMs. It must therefore
be unique among sub-clusters and `well-spaced` to allow for failures which increment epoch.
Increments of 1000 allow for a large number of sub-clusters and
+ practically ensure near-zero chance of collisions (a clash will only happen if a container
is still alive for 1000 restarts of one RM, while the next RM never restarted, and an app
requests more containers). |
+
+Optional:
+
+| Property | Example | Description |
+|:---- |:---- |
+|`yarn.federation.state-store.heartbeat-interval-secs` | `60` | The rate at which RMs report
their membership to the federation to the central state-store. |
+
+
+###ON ROUTER:
+
+These are extra configurations that should appear in the **conf/yarn-site.xml** at each Router.
+
+| Property | Example | Description |
+|:---- |:---- |
+|`yarn.router.bind-host` | `0.0.0.0` | Host IP to bind the router to.  The actual address
the server will bind to. If this optional address is set, the RPC and webapp servers will
bind to this address and the port specified in yarn.router.*.address respectively. This is
most useful for making Router listen to all interfaces by setting to 0.0.0.0. |
+
+Optional:
+
+| Property | Example | Description |
+|:---- |:---- |
+|`yarn.router.hostname` | `0.0.0.0` | Router host name.
+|`yarn.router.clientrm.address` | `0.0.0.0:8032` | Router client address. |
+|`yarn.router.webapp.address` | `0.0.0.0:80` | Webapp address at the router. |
+|`yarn.router.admin.address` | `0.0.0.0:8033` | Admin address at the router. |
+|`yarn.router.webapp.https.address` | `0.0.0.0:443` | Secure webapp address at the router.
|
+|`yarn.router.submit.retry` | `3` | The number of retries in the router before we give up.
|
+|`yarn.federation.statestore.max-connections` | `10` | This is the maximum number of parallel
connections each Router makes to the state-store. |
+|`yarn.federation.cache-ttl.secs` | `60` | The Router caches informations, and this is the
time to leave before the cache is invalidated. |
+
+
+###ON NMs:
+
+These are extra configurations that should appear in the **conf/yarn-site.xml** at each NodeManager.
+
+
+| Property | Example | Description |
+|:---- |:---- |
+|`yarn.nodemanager.amrmproxy.interceptor-class.pipeline` | `org.apache.hadoop.yarn.server.nodemanager.amrmproxy.FederationInterceptor`
| A coma-separated list of interceptors to be run at the amrmproxy. For federation the last
step in the pipeline should be the FederationInterceptor. |
+
+Optional:
+
+| Property | Example | Description |
+|:---- |:---- |
+|`yarn.federation.statestore.max-connections` | `1` | The maximum number of parallel connections
from each AMRMProxy to the state-store. This value is typically lower than the router one,
since we have many AMRMProxy that could burn-through many DB connections quickly. |
+|`yarn.federation.cache-ttl.secs` | `300` | The time to leave for the AMRMProxy cache. Typically
larger than at the router, as the number of AMRMProxy is large, and we want to limit the load
to the centralized state-store. |
\ No newline at end of file

http://git-wip-us.apache.org/repos/asf/hadoop/blob/897f406f/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/YARN.md
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diff --git a/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/YARN.md b/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/YARN.md
index 433c737..598ee6f 100644
--- a/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/YARN.md
+++ b/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-site/src/site/markdown/YARN.md
@@ -33,4 +33,7 @@ The ApplicationsManager is responsible for accepting job-submissions, negotiatin
 
 MapReduce in hadoop-2.x maintains **API compatibility** with previous stable release (hadoop-1.x).
This means that all MapReduce jobs should still run unchanged on top of YARN with just a recompile.
 
-YARN also supports the notion of **resource reservation** via the [ReservationSystem](./ReservationSystem.html),
a component that allows users to specify a profile of resources over-time and temporal constraints
(e.g., deadlines), and reserve resources to ensure the predictable execution of important
jobs.The *ReservationSystem* tracks resources over-time, performs admission control for reservations,
and dynamically instruct the underlying scheduler to ensure that the reservation is fullfilled.
+YARN supports the notion of **resource reservation** via the [ReservationSystem](./ReservationSystem.html),
a component that allows users to specify a profile of resources over-time and temporal constraints
(e.g., deadlines), and reserve resources to ensure the predictable execution of important
jobs.The *ReservationSystem* tracks resources over-time, performs admission control for reservations,
and dynamically instruct the underlying scheduler to ensure that the reservation is fullfilled.
+
+In order to scale YARN beyond few thousands nodes, YARN supports the notion of **Federation**
via the [YARN Federation](.Federation.html) feature. Federation allows to transparently wire
together multiple yarn (sub-)clusters, and
+ make them appear as a single massive cluster. This can be used to achieve larger scale,
and/or to allow multiple independent clusters to be used together for very large jobs, or
for tenants who have capacity across all of them.
\ No newline at end of file

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