OCI Data Flow

Serverless Apache Spark service that runs applications without provisioning or managing a cluster.

Provider: oci
Kind: Big data cluster
Category: Compute
Official docs: https://docs.oracle.com/en-us/iaas/data-flow/using/home.htm

Properties · 2 set by this component

property	type	values	required	kind default	this component
autoscaling	boolean	—	no	false	inherited
engine	enum	spark \| hadoop \| presto \| flink \| hpc \| ray \| dask \| kubernetes-batch	no	—	▸ spark
executors · component property	integer	—	no	—	inherited
language · component property	enum	java \| scala \| python \| sql \| spark-submit	no	—	inherited
managed	boolean	—	no	false	▸ true
poolBacked · component property	boolean	—	no	false	inherited
runtimeVersion	string	—	no	—	inherited
spotInstances	boolean	—	no	false	inherited
workerNodes	integer	—	no	—	inherited
zoneRedundant	boolean	—	no	—	inherited

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: "data-flow", component: "oci-data-flow" }

Other Big data cluster products · 25

Elastic High Performance Computingalibaba-e-hpcalibabacloudbig-data-cluster E-MapReducealibaba-e-mapreducealibabacloudbig-data-cluster AWS Clean Roomsaws-clean-roomsawsbig-data-cluster Amazon EMRaws-emrawsbig-data-cluster Amazon EMR Serverlessaws-emr-serverlessawsbig-data-cluster AWS Parallel Computing Serviceaws-pcsawsbig-data-cluster Amazon SageMaker HyperPodaws-sagemaker-hyperpodawsbig-data-cluster Azure CycleCloudazure-cyclecloudazurebig-data-cluster Azure Databricksazure-databricksazurebig-data-cluster Azure HDInsightazure-hdinsightazurebig-data-cluster Armadaarmadabig-data-cluster Generic big data clusterbig-data-clusterbig-data-cluster Daskdaskbig-data-cluster Databricksdatabricksbig-data-cluster Apache Hadoop YARNhadoop-yarnbig-data-cluster Rayraybig-data-cluster Slurmslurmbig-data-cluster Apache Spark clusterspark-clusterbig-data-cluster Volcanovolcanobig-data-cluster Cluster Directorgoogle-cluster-directorgcpbig-data-cluster Dataprocgoogle-dataprocgcpbig-data-cluster Managed Service for Apache Spark (serverless)google-dataproc-serverlessgcpbig-data-cluster IBM Analytics Engineibm-analytics-engineibmbig-data-cluster OCI AI Data Platformoci-ai-data-platformocibig-data-cluster OCI Big Data Serviceoci-big-data-serviceocibig-data-cluster

Source

1# yaml-language-server: $schema=../../schema/component.schema.json
2# OCI Data Flow: "a fully managed service for running Apache Spark applications" where "you don't need to
3# spend any time on the underlying infrastructure, cluster provisioning, or software installation"
4# ("Data Flow overview"). Each run gets its own Spark cluster driven entirely by REST APIs, and both the
5# applications and the data they read and write live in Object Storage ("Data Flow service overview").
6schemaVersion: "1"
7type: "component"
8id: "oci-data-flow"
9kind: "big-data-cluster"
10provider: "oci"
11docs: "https://docs.oracle.com/en-us/iaas/data-flow/using/home.htm"
12defaults:
13  managed: true
14  engine: "spark"
15properties:
16  language:
17    type: "enum"
18    values: ["java", "scala", "python", "sql", "spark-submit"]
19  executors:
20    type: "integer"
21  poolBacked:
22    type: "boolean"
23    default: false

The same page as markdown, for an agent: /catalogue/components/oci-data-flow.md