Skip to content

Latest commit

 

History

History
84 lines (65 loc) · 6.19 KB

hdinsight-supported-node-configuration.md

File metadata and controls

84 lines (65 loc) · 6.19 KB
title description keywords author ms.author ms.reviewer ms.service ms.topic ms.custom ms.date
Azure HDInsight supported node configurations
Learn the minimum and recommended configurations for HDInsight cluster nodes.
vm sizes, cluster sizes, cluster configuration
hrasheed-msft
hrasheed
jasonh
hdinsight
conceptual
hdinsightactive,hdiseo17may2017
05/14/2020

What are the default and recommended node configurations for Azure HDInsight?

This article discusses default and recommended node configurations for Azure HDInsight clusters.

Default and minimum recommended node configuration and virtual machine sizes for clusters

The following tables list default and recommended virtual machine (VM) sizes for HDInsight clusters. This information is necessary to understand the VM sizes to use when you're creating PowerShell or Azure CLI scripts to deploy HDInsight clusters.

If you need more than 32 worker nodes in a cluster, select a head node size with at least 8 cores and 14 GB of RAM.

The only cluster types that have data disks are Kafka and HBase clusters with the Accelerated Writes feature enabled. HDInsight supports P30 and S30 disk sizes in these scenarios. For all other cluster types, HDInsight provides managed disk space with the cluster. Starting 11/07/2019, the managed disk size of each node in the newly created cluster is 128 GB. This can't be changed.

The specifications of all minimum recommended VM types used in this document are summarized in the following table.

Size vCPU Memory: GiB Temp storage (SSD) GiB Max temp storage throughput: IOPS / Read MBps / Write MBps Max data disks / throughput: IOPS Max NICs / Expected network bandwidth (Mbps)
Standard_D3_v2 4 14 200 12000 / 187 / 93 16 / 16x500 4 / 3000
Standard_D4_v2 8 28 400 24000 / 375 / 187 32 / 32x500 8 / 6000
Standard_D5_v2 16 56 800 48000 / 750 / 375 64 / 64x500 8 / 12000
Standard_D12_v2 4 28 200 12000 / 187 / 93 16 / 16x500 4 / 3000
Standard_D13_v2 8 56 400 24000 / 375 / 187 32 / 32x500 8 / 6000
Standard_D14_v2 16 112 800 48000 / 750 / 375 64 / 64x500 8 / 12000
Standard_A1_v2 1         2           10             1000 / 20 / 10                                           2 / 2x500               2 / 250                
Standard_A2_v2 2 4 20 2000 / 40 / 20 4 / 4x500 2 / 500
Standard_A4_v2 4 8 40 4000 / 80 / 40 8 / 8x500 4 / 1000

For more information on the specifications of each VM type, see the following documents:

All supported regions except Brazil south and Japan west

Note

To get the SKU identifier for use in powershell and other scripts, add Standard_ to the beginning of all of the VM SKUs in the tables below. For example, D12_v2 would become Standard_D12_v2.

Cluster type Hadoop HBase Interactive Query Storm Spark ML Server Kafka
Head: default VM size D12_v2 D12_v2 D13_v2 A4_v2 D12_v2,
D13_v2*
D12_v2 D3_v2
Head: minimum recommended VM sizes D5_v2 D3_v2 D13_v2 A4_v2 D12_v2,
D13_v2*
D12_v2 D3_v2
Worker: default VM size D4_v2 D4_v2 D14_v2 D3_v2 D13_v2 D4_v2 4 D12_v2 with 2 S30 disks per broker
Worker: minimum recommended VM sizes D5_v2 D3_v2 D13_v2 D3_v2 D12_v2 D4_v2 D3_v2
ZooKeeper: default VM size A4_v2 A4_v2 A4_v2 A2_v2 A4_v2
ZooKeeper: minimum recommended VM sizes A4_v2 A4_v2 A2_v2 A2_v2 A4_v2
ML Services: default VM size D4_v2
ML Services: minimum recommended VM size D4_v2

* = VM Sizes for Spark Enterprise Security Package (ESP) clusters

Brazil south and Japan west only

Cluster type Hadoop HBase Interactive Query Storm Spark ML Services
Head: default VM size D12 D12 D13 A4_v2 D12 D12
Head: minimum recommended VM sizes D5_v2 D3_v2 D13_v2 A4_v2 D12_v2 D12_v2
Worker: default VM size D4 D4 D14 D3 D13 D4
Worker: minimum recommended VM sizes D5_v2 D3_v2 D13_v2 D3_v2 D12_v2 D4_v2
ZooKeeper: default VM size A4_v2 A4_v2 A4_v2 A2_v2
ZooKeeper: minimum recommended VM sizes A4_v2 A4_v2 A4_v2 A2_v2
ML Services: default VM sizes D4
ML Services: minimum recommended VM sizes D4_v2

Note

  • Head is known as Nimbus for the Storm cluster type.
  • Worker is known as Supervisor for the Storm cluster type.
  • Worker is known as Region for the HBase cluster type.

Next steps