Updated on 2022-02-22 GMT+08:00

Improving Write Performance

Scenario

Improve the HDFS write performance by modifying the HDFS attributes.

This section applies to MRS 3.x or later.

Procedure

Navigation path for setting parameters:

On FusionInsight Manager, choose Cluster > Name of the desired cluster > Services > HDFS > Configurations and select All Configurations. Enter a parameter name in the search box.

Table 1 Parameters for improving HDFS write performance

Parameter

Description

Default Value

dfs.datanode.drop.cache.behind.reads

Specifies whether to enable a DataNode to automatically clear all data in the cache after the data in the cache is transferred to the client.

If it is set to true, the cached data is discarded. The parameter needs to be configured on the DataNode.

You are advised to set it to true if data is repeatedly read only a few times, so that the cache can be used by other operations. You are advised to set it to false if data is repeatedly read many times to enhance the reading speed.

false

dfs.client-write-packet-size

Specifies the size of the client write packet. When the HDFS client writes data to the DataNode, the data will be accumulated until a packet is generated. Then, the packet is transmitted over the network. This parameter specifies the size (unit: byte) of the data packet to be transmitted, which can be specified by each job.

In the 10-Gigabit network, you can increase the value of this parameter to enhance the transmission throughput.

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