[ https://issues.apache.org/jira/browse/HDFS-13279?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Tao Jie updated HDFS-13279: --------------------------- Attachment: HDFS-13279.006.patch > Datanodes usage is imbalanced if number of nodes per rack is not equal > ---------------------------------------------------------------------- > > Key: HDFS-13279 > URL: https://issues.apache.org/jira/browse/HDFS-13279 > Project: Hadoop HDFS > Issue Type: Bug > Affects Versions: 2.8.3, 3.0.0 > Reporter: Tao Jie > Assignee: Tao Jie > Priority: Major > Attachments: HDFS-13279.001.patch, HDFS-13279.002.patch, > HDFS-13279.003.patch, HDFS-13279.004.patch, HDFS-13279.005.patch, > HDFS-13279.006.patch > > > In a Hadoop cluster, number of nodes on a rack could be different. For > example, we have 50 Datanodes in all and 15 datanodes per rack, it would > remain 5 nodes on the last rack. In this situation, we find that storage > usage on the last 5 nodes would be much higher than other nodes. > With the default blockplacement policy, for each block, the first > replication has the same probability to write to each datanode, but the > probability for the 2nd/3rd replication to write to the last 5 nodes would > much higher than to other nodes. > Consider we write 50 blocks to such 50 datanodes. The first rep of 100 block > would distirbuted to 50 node equally. The 2rd rep of blocks which the 1st rep > is on rack1(15 reps) would send equally to other 35 nodes and each nodes > receive 0.428 rep. So does blocks on rack2 and rack3. As a result, node on > rack4(5 nodes) would receive 1.29 replications in all, while other node would > receive 0.97 reps. > ||-||Rack1(15 nodes)||Rack2(15 nodes)||Rack3(15 nodes)||Rack4(5 nodes)|| > |From rack1|-|15/35=0.43|0.43|0.43| > |From rack2|0.43|-|0.43|0.43| > |From rack3|0.43|0.43|-|0.43| > |From rack4|5/45=0.11|0.11|0.11|-| > |Total|0.97|0.97|0.97|1.29| -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: hdfs-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: hdfs-issues-h...@hadoop.apache.org