From 580634882e996f77c4695bdcd01f6d12e0e5d2ab Mon Sep 17 00:00:00 2001 From: Ayush Saxena Date: Sun, 21 Jun 2020 17:27:28 +0530 Subject: [PATCH] HDFS-14546. Document block placement policies. Contributed by Amithsha. (cherry picked from commit 17ffcab5f621400bd8bb47dc8fb29365f6e24ebd) --- .../markdown/HdfsBlockPlacementPolicies.md | 165 ++++++++++++++++++ .../src/site/markdown/HdfsDesign.md | 3 + .../resources/images/RackFaultTolerant.jpg | Bin 0 -> 55017 bytes 3 files changed, 168 insertions(+) create mode 100644 hadoop-hdfs-project/hadoop-hdfs/src/site/markdown/HdfsBlockPlacementPolicies.md create mode 100644 hadoop-hdfs-project/hadoop-hdfs/src/site/resources/images/RackFaultTolerant.jpg diff --git a/hadoop-hdfs-project/hadoop-hdfs/src/site/markdown/HdfsBlockPlacementPolicies.md b/hadoop-hdfs-project/hadoop-hdfs/src/site/markdown/HdfsBlockPlacementPolicies.md new file mode 100644 index 00000000000..4550f0441b6 --- /dev/null +++ b/hadoop-hdfs-project/hadoop-hdfs/src/site/markdown/HdfsBlockPlacementPolicies.md @@ -0,0 +1,165 @@ + + +BlockPlacementPolicies +====================== + + +##Introduction +By default HDFS supports BlockPlacementPolicyDefault. Where one block on local and copy on 2 different nodes of same remote rack. Additional to this HDFS supports several different pluggable block placement policies. Users can choose the policy based on their infrastructure and use case. This document describes the detailed information about the type of policies with its use cases and configuration. + + +## BlockPlacementPolicyRackFaultTolerant + +BlockPlacementPolicyRackFaultTolerant can be used to split the placement of blocks across multiple rack.By default with replication of 3 BlockPlacementPolicyDefault will put one replica on the local machine if the writer is on a datanode, otherwise on a random datanode in the same rack as that of the writer, another replica on a node in a different (remote) rack, and the last on a different node in the same remote rack. So totally 2 racks will be used, in sceneraio like 2 racks going down at the same time will cause data inavailability where using BlockPlacementPolicyRackFaultTolerant will helop in placing 3 blocks on 3 different racks. + +For more details check [HDFS-7891](https://issues.apache.org/jira/browse/HDFS-7891) + +![Rack Fault Tolerant Policy](images/RackFaultTolerant.jpg) + + **Configurations :** + +- hdfs-site.xml + +```xml + + dfs.block.replicator.classname + org.apache.hadoop.hdfs.server.blockmanagement.BlockPlacementPolicyRackFaultTolerant + +``` + + +## BlockPlacementPolicyWithNodeGroup + +With new 3 layer hierarchical topology, a node group level got introduced, which maps well onto a infrastructure that is based on a virtulized environment. In Virtualized environment multiple vm's will be hosted on same physical machine. Vm's on the same physical host are affected by the same hardware failure. So mapping the physical host a node groups this block placement gurantees that it will never place more than one replica on the same node group (physical host), in case of node group failure, only one replica will be lost at the maximum. + + **Configurations :** + +- core-site.xml + +```xml + + net.topology.impl + org.apache.hadoop.net.NetworkTopologyWithNodeGroup + + + net.topology.nodegroup.aware + true + +``` + +- hdfs-site.xml + +```xml + + dfs.block.replicator.classname + + org.apache.hadoop.hdfs.server.blockmanagement.BlockPlacementPolicyWithNodeGroup + + +``` + +- Topology script + +Topology script is the same as the examples above, the only difference is, +instead of returning only **/{rack}**, the script should return +**/{rack}/{nodegroup}**. Following is an example topology mapping table: + +``` +192.168.0.1 /rack1/nodegroup1 +192.168.0.2 /rack1/nodegroup1 +192.168.0.3 /rack1/nodegroup2 +192.168.0.4 /rack1/nodegroup2 +192.168.0.5 /rack2/nodegroup3 +192.168.0.6 /rack2/nodegroup3 +``` + +For more details check [HDFS-8468](https://issues.apache.org/jira/browse/HADOOP-8468) + +## BlockPlacementPolicyWithUpgradeDomain + +To address the limitation of block placement policy on rolling upgrade, the concept of upgrade domain has been added to HDFS via a new block placement policy. The idea is to group datanodes in a new dimension called upgrade domain, in addition to the existing rack-based grouping. For example, we can assign all datanodes in the first position of any rack to upgrade domain ud_01, nodes in the second position to upgrade domain ud_02 and so on. +It will make sure replicas of any given block are distributed across machines from different upgrade domains. By default, 3 replicas of any given block are placed on 3 different upgrade domains. This means all datanodes belonging to a specific upgrade domain collectively won’t store more than one replica of any block. + +For more details check [HDFS-9006](https://issues.apache.org/jira/browse/HDFS-9006) + +Detailed info about configuration [Upgrade Domain Policy](HdfsUpgradeDomain.html) + +## AvailableSpaceBlockPlacementPolicy + +The AvailableSpaceBlockPlacementPolicy is a space balanced block placement policy. It is similar to BlockPlacementPolicyDefault but will choose low used percent datanodes for new blocks with a little high possibility. + + **Configurations :** + +- hdfs-site.xml + +```xml + + dfs.block.replicator.classname + org.apache.hadoop.hdfs.server.blockmanagement.AvailableSpaceBlockPlacementPolicy + + + + dfs.namenode.available-space-block-placement-policy.balanced-space-preference-fraction + 0.6 + + Special value between 0 and 1, noninclusive. Increases chance of + placing blocks on Datanodes with less disk space used. + + + + + + dfs.namenode.available-space-block-placement-policy.balance-local-node + + false + + If true, balances the local node too. + + +``` + +For more details check [HDFS-8131](https://issues.apache.org/jira/browse/HDFS-8131) + +## AvailableSpaceRackFaultTolerantBlockPlacementPolicy + +The AvailableSpaceRackFaultTolerantBlockPlacementPolicy is a space balanced block placement policy similar to AvailableSpaceBlockPlacementPolicy. It extends BlockPlacementPolicyRackFaultTolerant and distributes the blocks +amongst maximum number of racks possible and at the same time will try to choose datanodes with low used percent with high probability. + + **Configurations :** + +- hdfs-site.xml + +```xml + + dfs.block.replicator.classname + org.apache.hadoop.hdfs.server.blockmanagement.AvailableSpaceRackFaultTolerantBlockPlacementPolicy + + + + dfs.namenode.available-space-rack-fault-tolerant-block-placement-policy.balanced-space-preference-fraction + 0.6 + + Only used when the dfs.block.replicator.classname is set to + org.apache.hadoop.hdfs.server.blockmanagement.AvailableSpaceRackFaultTolerantBlockPlacementPolicy. + Special value between 0 and 1, noninclusive. Increases chance of + placing blocks on Datanodes with less disk space used. More the value near 1 + more are the chances of choosing the datanode with less percentage of data. + Similarly as the value moves near 0, the chances of choosing datanode with + high load increases as the value reaches near 0. + + +``` + +For more details check [HDFS-15288](https://issues.apache.org/jira/browse/HDFS-15288) \ No newline at end of file diff --git a/hadoop-hdfs-project/hadoop-hdfs/src/site/markdown/HdfsDesign.md b/hadoop-hdfs-project/hadoop-hdfs/src/site/markdown/HdfsDesign.md index ff43e451918..894ff7e78e8 100644 --- a/hadoop-hdfs-project/hadoop-hdfs/src/site/markdown/HdfsDesign.md +++ b/hadoop-hdfs-project/hadoop-hdfs/src/site/markdown/HdfsDesign.md @@ -139,6 +139,9 @@ then that replica is preferred to satisfy the read request. If HDFS cluster spans multiple data centers, then a replica that is resident in the local data center is preferred over any remote replica. +### Block Placement Policies +As mentioned above when the replication factor is three, HDFS’s placement policy is to put one replica on the local machine if the writer is on a datanode, otherwise on a random datanode in the same rack as that of the writer, another replica on a node in a different (remote) rack, and the last on a different node in the same remote rack. If the replication factor is greater than 3, the placement of the 4th and following replicas are determined randomly while keeping the number of replicas per rack below the upper limit (which is basically (replicas - 1) / racks + 2). Additional to this HDFS supports 4 different pluggable [Block Placement Policies](HdfsBlockPlacementPolicies.html). Users can choose the policy based on their infrastructre and use case. By default HDFS supports BlockPlacementPolicyDefault. + ### Safemode On startup, the NameNode enters a special state called Safemode. Replication of data blocks does not occur when the NameNode is in the Safemode state. The NameNode receives Heartbeat and Blockreport messages from the DataNodes. A Blockreport contains the list of data blocks that a DataNode is hosting. Each block has a specified minimum number of replicas. A block is considered safely replicated when the minimum number of replicas of that data block has checked in with the NameNode. After a configurable percentage of safely replicated data blocks checks in with the NameNode (plus an additional 30 seconds), the NameNode exits the Safemode state. It then determines the list of data blocks (if any) that still have fewer than the specified number of replicas. 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