Amazon EMR Serverless
Serverless Spark and Hive application that scales workers automatically per job run.
- Provider
- aws
- Kind
- Big data cluster
- Category
- Compute
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| autoStop | boolean | — | no | true | inherited |
| autoStopIdleMinutes | integer | — | no | 15 | inherited |
| autoscaling | boolean | — | no | false | ▸ true |
| engine | enum | spark | hadoop | presto | flink | hpc | ray | dask | kubernetes-batch | no | — | inherited |
| managed | boolean | — | no | false | ▸ true |
| preInitializedCapacity | boolean | — | no | false | inherited |
| runtime | enum | spark | hive | no | spark | inherited |
| runtimeVersion | string | — | no | — | inherited |
| spotInstances | boolean | — | no | false | ▸ false |
| workerNodes | integer | — | no | — | inherited |
| zoneRedundant | boolean | — | no | — | ▸ true |
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-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
nodes:
- { id: "emr-serverless", component: "aws-emr-serverless" }Elastic High Performance Computingalibaba-e-hpcE-MapReducealibaba-e-mapreduceAWS Clean Roomsaws-clean-roomsAmazon EMRaws-emrAWS Parallel Computing Serviceaws-pcsAmazon SageMaker HyperPodaws-sagemaker-hyperpodAzure CycleCloudazure-cyclecloudAzure Databricksazure-databricksAzure HDInsightazure-hdinsightArmadaarmadaGeneric big data clusterbig-data-clusterDaskdaskDatabricksdatabricksApache Hadoop YARNhadoop-yarnRayraySlurmslurmApache Spark clusterspark-clusterVolcanovolcanoCluster Directorgoogle-cluster-directorDataprocgoogle-dataprocManaged Service for Apache Spark (serverless)google-dataproc-serverlessIBM Analytics Engineibm-analytics-engineOCI AI Data Platformoci-ai-data-platformOCI Big Data Serviceoci-big-data-serviceOCI Data Flowoci-data-flow
# yaml-language-server: $schema=../../schema/component.schema.json # Amazon EMR Serverless application: serverless Spark or Hive runtime that "automatically scales workers up or # down" and is "a Regional service that simplifies how workloads run across multiple Availability Zones" # ("What is Amazon EMR Serverless?"). An application auto-starts on job submission and auto-stops after 15 idle # minutes; pre-initialized capacity is opt-in ("Understanding application behavior in EMR Serverless"). schemaVersion: "1" type: "component" id: "aws-emr-serverless" kind: "big-data-cluster" provider: "aws" docs: "https://docs.aws.amazon.com/emr/latest/EMR-Serverless-UserGuide/app-behavior.html" defaults: managed: true autoscaling: true spotInstances: false zoneRedundant: true properties: runtime: type: "enum" values: ["spark", "hive"] default: "spark" preInitializedCapacity: type: "boolean" default: false autoStop: type: "boolean" default: true autoStopIdleMinutes: type: "integer" default: 15