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Catalogue / big-data-cluster

Dataproc

gcpBig data clustergoogle-dataproc

Managed Hadoop and Spark cluster on Compute Engine.

Provider
gcp
Kind
Big data cluster
Category
Compute
Official docs
https://docs.cloud.google.com/sdk/gcloud/reference/dataproc/clusters/create
Properties · 6 set by this component
propertytypevaluesrequiredkind defaultthis component
autoscalingboolean—nofalse▸ false
clusterMode · component propertyenumstandard | single-node | high-availabilitynostandardinherited
engineenumspark | hadoop | presto | flink | hpc | ray | dask | kubernetes-batchno—▸ spark
managedboolean—nofalse▸ true
masterNodes · component propertyinteger—no1inherited
runtimeVersionstring—no—inherited
secondaryWorkerType · component propertyenumpreemptible | non-preemptible | spotnopreemptibleinherited
spotInstancesboolean—nofalse▸ false
workerNodesinteger—no—▸ 2
zoneRedundantboolean—no—▸ false
Rules that apply · 1

Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.

Stateful node without zone redundancyerror
stateful-node-without-zone-redundancy

A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.

  • — all of these hold:
  • — the node's `stateless` is false
  • — the node sits inside exactly 1 availability-zone group
  • — this does not hold:
  • — the node sits inside at least one cell group
Use it in a design
nodes:
  - { id: "dataproc", component: "google-dataproc" }
Other Big data cluster products · 25
Elastic High Performance Computingalibaba-e-hpcalibabacloudbig-data-clusterE-MapReducealibaba-e-mapreducealibabacloudbig-data-clusterAWS Clean Roomsaws-clean-roomsawsbig-data-clusterAmazon EMRaws-emrawsbig-data-clusterAmazon EMR Serverlessaws-emr-serverlessawsbig-data-clusterAWS Parallel Computing Serviceaws-pcsawsbig-data-clusterAmazon SageMaker HyperPodaws-sagemaker-hyperpodawsbig-data-clusterAzure CycleCloudazure-cyclecloudazurebig-data-clusterAzure Databricksazure-databricksazurebig-data-clusterAzure HDInsightazure-hdinsightazurebig-data-clusterArmadaarmadabig-data-clusterGeneric big data clusterbig-data-clusterbig-data-clusterDaskdaskbig-data-clusterDatabricksdatabricksbig-data-clusterApache Hadoop YARNhadoop-yarnbig-data-clusterRayraybig-data-clusterSlurmslurmbig-data-clusterApache Spark clusterspark-clusterbig-data-clusterVolcanovolcanobig-data-clusterCluster Directorgoogle-cluster-directorgcpbig-data-clusterManaged Service for Apache Spark (serverless)google-dataproc-serverlessgcpbig-data-clusterIBM Analytics Engineibm-analytics-engineibmbig-data-clusterOCI AI Data Platformoci-ai-data-platformocibig-data-clusterOCI Big Data Serviceoci-big-data-serviceocibig-data-clusterOCI Data Flowoci-data-flowocibig-data-cluster
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# Dataproc cluster (Managed Service for Apache Spark on Compute Engine): managed Hadoop and Spark
# cluster. "Create a Dataproc cluster" and the gcloud reference: the standard mode is one master and
# two workers in a single zone, the image version defaults to the latest, secondary workers are
# preemptible, and autoscaling applies only when an autoscaling policy is attached.
schemaVersion: "1"
type: "component"
id: "google-dataproc"
kind: "big-data-cluster"
provider: "gcp"
docs: "https://docs.cloud.google.com/sdk/gcloud/reference/dataproc/clusters/create"
defaults:
  managed: true
  engine: "spark"
  workerNodes: 2
  autoscaling: false
  spotInstances: false
  zoneRedundant: false
properties:
  clusterMode:
    type: "enum"
    values: ["standard", "single-node", "high-availability"]
    default: "standard"
  masterNodes:
    type: "integer"
    default: 1
  secondaryWorkerType:
    type: "enum"
    values: ["preemptible", "non-preemptible", "spot"]
    default: "preemptible"

The same page as markdown, for an agent: /catalogue/components/google-dataproc.md