René's URL Explorer Experiment


Title: Use the Cloud Client Libraries for Python  |  Managed Service for Apache Spark  |  Google Cloud Documentation

Open Graph Title: Use the Cloud Client Libraries for Python  |  Managed Service for Apache Spark  |  Google Cloud Documentation

Description: Use the moonrise-replace841f8e09162d496792f45d1571ea21c4moonrise-replace client libraries for Python to programmatically create clusters and submit jobs via gRPC APIs.

Open Graph Description: Use the moonrise-replace841f8e09162d496792f45d1571ea21c4moonrise-replace client libraries for Python to programmatically create clusters and submit jobs via gRPC APIs.

Opengraph URL: https://docs.cloud.google.com/managed-spark/docs/tutorials/python-library-example

direct link

Domain: cloud.google.com


Hey, it has json ld scripts:
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Technology areas https://cloud.google.com/docs
Overview https://cloud.google.com/managed-spark/docs
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Reference https://cloud.google.com/managed-spark/docs/reference
Samples https://cloud.google.com/managed-spark/docs/samples
Resources https://cloud.google.com/managed-spark/docs/resources
Cross-product tools https://cloud.google.com/docs/cross-product-overviews
Console https://console.cloud.google.com/
Key Conceptshttps://cloud.google.com/managed-spark/docs/overview/key-concepts
Overviewhttps://cloud.google.com/managed-spark/docs/serverless-overview
Managed Service for Apache Spark serverless tiershttps://cloud.google.com/managed-spark/docs/tiers
Managed Service for Apache Spark on clustershttps://cloud.google.com/managed-spark/docs/concepts/clusters-overview
Compare serverless and cluster deploymentshttps://cloud.google.com/managed-spark/docs/concepts/serverless-spark-compare
Managed Service for Apache Spark on GKEhttps://cloud.google.com/managed-spark/docs/concepts/gke-overview
Create a serverless Spark batch workloadhttps://cloud.google.com/managed-spark/docs/quickstarts/spark-batch
Create a clusterhttps://cloud.google.com/managed-spark/docs/quickstarts/create-cluster
Submit a Spark job to a clusterhttps://cloud.google.com/managed-spark/docs/guides/submit-job
Use Gemini to develop Spark applicationshttps://cloud.google.com/managed-spark/docs/guides/gemini-spark
Analyze public datasets with Sparkhttps://cloud.google.com/managed-spark/docs/tutorials/monte-carlo-methods-with-hadoop-spark
Sentiment analysis with Spark MLlibhttps://cloud.google.com/managed-spark/docs/tutorials/bigquery-sparkml
Run a Spark job on Kuberneteshttps://cloud.google.com/managed-spark/docs/guides/dpgke/quickstarts/gke-quickstart-create-cluster
Use custom containershttps://cloud.google.com/managed-spark/docs/guides/custom-containers
Use GPUshttps://cloud.google.com/managed-spark/docs/guides/gpus-serverless
Use Dynamic Workload Schedulerhttps://cloud.google.com/managed-spark/docs/guides/dws-serverless
Network configurationhttps://cloud.google.com/managed-spark/docs/concepts/network-serverless
Overviewhttps://cloud.google.com/managed-spark/docs/concepts/versions/serverless-versions
Spark runtime version 3.0https://cloud.google.com/managed-spark/docs/concepts/versions/spark-runtime-3.0
Spark runtime version 2.3https://cloud.google.com/managed-spark/docs/concepts/versions/spark-runtime-2.3
Spark runtime version 2.2https://cloud.google.com/managed-spark/docs/concepts/versions/spark-runtime-2.2
Spark runtime version 1.2https://cloud.google.com/managed-spark/docs/concepts/versions/spark-runtime-1.2
Service accountshttps://cloud.google.com/managed-spark/docs/concepts/service-accounts-serverless
Spark propertieshttps://cloud.google.com/managed-spark/docs/concepts/spark-properties-serverless
Staging buckethttps://cloud.google.com/managed-spark/docs/concepts/staging-bucket-serverless
Create a serverless Spark batch workloadhttps://cloud.google.com/managed-spark/docs/guides/spark-batch
Create serverless interactive sessions and session templateshttps://cloud.google.com/managed-spark/docs/guides/create-serverless-sessions-templates
Use the serverless Spark Connect clienthttps://cloud.google.com/managed-spark/docs/guides/spark-connect-client
Use JupyterLab for serverless batch and notebook sessionshttps://cloud.google.com/managed-spark/docs/guides/jupyterlab-sessions-serverless
Overviewhttps://cloud.google.com/managed-spark/docs/templates/templates
Cloud Spanner to Cloud Storagehttps://cloud.google.com/managed-spark/docs/templates/spanner-to-storage
Cloud Storage to BigQueryhttps://cloud.google.com/managed-spark/docs/templates/storage-to-bigquery
Cloud Storage to Cloud Spannerhttps://cloud.google.com/managed-spark/docs/templates/storage-to-spanner
Cloud Storage to Cloud Storagehttps://cloud.google.com/managed-spark/docs/templates/storage-to-storage
Cloud Storage to JDBChttps://cloud.google.com/managed-spark/docs/templates/storage-to-jdbc
Hive to BigQueryhttps://cloud.google.com/managed-spark/docs/templates/hive-to-bigquery
Hive to Cloud Storagehttps://cloud.google.com/managed-spark/docs/templates/hive-to-storage
JDBC to BigQueryhttps://cloud.google.com/managed-spark/docs/templates/jdbc-to-bigquery
JDBC to Cloud Spannerhttps://cloud.google.com/managed-spark/docs/templates/jdbc-to-spanner
JDBC to Cloud Storagehttps://cloud.google.com/managed-spark/docs/templates/jdbc-to-storage
JDBC to JDBChttps://cloud.google.com/managed-spark/docs/templates/jdbc-to-jdbc
Pub/Sub to Cloud Storagehttps://cloud.google.com/managed-spark/docs/templates/pubsub-to-storage
Create an Apache Iceberg table with metadata in Lakehouse runtime cataloghttps://cloud.google.com/managed-spark/docs/guides/spark-workloads-with-bigquery-metastore
Overviewhttps://cloud.google.com/managed-spark/docs/guides/spark-bigquery-connector
Query BigQuery tableshttps://cloud.google.com/managed-spark/docs/guides/query-bigquery-tables
Run PySpark code in BigQuery Studio notebookshttps://cloud.google.com/managed-spark/docs/use-spark
Autoscale workload resourceshttps://cloud.google.com/managed-spark/docs/concepts/autoscaling-serverless
Autotune Spark workloadshttps://cloud.google.com/managed-spark/docs/concepts/autotuning
Accelerate batch workloads and sessions with Lightning Enginehttps://cloud.google.com/managed-spark/docs/guides/lightning-engine-serverless
Run the Native Query Execution qualification toolhttps://cloud.google.com/managed-spark/docs/guides/run-nqe-tool
Serverless Spark solution acceleratorshttps://github.com/GoogleCloudPlatform/serverless-spark-workshop
Manage Spark dependencieshttps://cloud.google.com/managed-spark/docs/guides/manage-spark-dependencies
Customize Spark environmenthttps://cloud.google.com/managed-spark/docs/guides/docker-yarn
Enable concurrent writeshttps://cloud.google.com/managed-spark/docs/guides/fileoutput-committer
Enhance Spark performancehttps://cloud.google.com/managed-spark/docs/guides/performance-enhancements
Tune Sparkhttps://cloud.google.com/managed-spark/docs/support/spark-job-tuning
Use Lightning Enginehttps://cloud.google.com/managed-spark/docs/guides/lightning-engine
Use the consolehttps://cloud.google.com/managed-spark/docs/quickstarts/create-cluster-console
Use the command linehttps://cloud.google.com/managed-spark/docs/quickstarts/create-cluster-gcloud
Create a clusterhttps://cloud.google.com/managed-spark/docs/quickstarts/create-cluster-template
Run a Spark jobhttps://cloud.google.com/managed-spark/docs/quickstarts/submit-spark-job-template
Update a clusterhttps://cloud.google.com/managed-spark/docs/quickstarts/update-cluster-template
Delete a clusterhttps://cloud.google.com/managed-spark/docs/quickstarts/quickstart-explorer-delete
Use client librarieshttps://cloud.google.com/managed-spark/docs/quickstarts/create-cluster-client-libraries
Run Hadoop jobshttps://cloud.google.com/managed-spark/docs/tutorials/bigquery-connector-mapreduce-example
Write and run Spark Scala jobshttps://cloud.google.com/managed-spark/docs/tutorials/spark-scala
Run Trinohttps://cloud.google.com/managed-spark/docs/tutorials/trino-dataproc
Run Flinkhttps://cloud.google.com/managed-spark/docs/concepts/components/flink
Run Hivehttps://cloud.google.com/managed-spark/docs/tutorials/kafka-tutorial
Run Pighttps://cloud.google.com/managed-spark/docs/concepts/components/pig
Run HBasehttps://cloud.google.com/managed-spark/docs/tutorials/spark-hbase
Configure the Python environmenthttps://cloud.google.com/managed-spark/docs/tutorials/python-configuration
Use Cloud Client Libraries for Pythonhttps://cloud.google.com/managed-spark/docs/tutorials/python-library-example
Overviewhttps://cloud.google.com/managed-spark/docs/tutorials/bigquery-connector-spark-example
BigQuery connector code sampleshttps://cloud.google.com/managed-spark/docs/examples/bigquery-example
Use the Cloud Storage connectorhttps://cloud.google.com/managed-spark/docs/tutorials/gcs-connector-spark-tutorial
Use the Spark Spanner connectorhttps://cloud.google.com/managed-spark/docs/tutorials/spanner-connector-spark-example
Explore and extract datahttps://cloud.google.com/managed-spark/docs/guides/explore-data
Transform datahttps://cloud.google.com/managed-spark/docs/guides/transform-data
Load data into BigQueryhttps://cloud.google.com/managed-spark/docs/guides/load-data
Create a lake house with Spark and BigQueryhttps://cloud.google.com/managed-spark/docs/guides/create-lakehouse
Configure metastoreshttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/secure-hive-metastore
Create an Apache Iceberg table with metadata in BigLake metastorehttps://cloud.google.com/managed-spark/docs/guides/iceberg-metadata-biglake-metastore
Use Iceberghttps://cloud.google.com/managed-spark/docs/concepts/components/iceberg
Use Deltahttps://cloud.google.com/managed-spark/docs/concepts/components/delta
Use Hudihttps://cloud.google.com/managed-spark/docs/concepts/components/hudi
Overviewhttps://cloud.google.com/managed-spark/docs/concepts/notebooks
Run a Jupyter notebook on a clusterhttps://cloud.google.com/managed-spark/docs/tutorials/jupyter-notebook
Run a genomics analysis on a notebookhttps://cloud.google.com/managed-spark/docs/tutorials/genomics-single-cell
Use the JupyterLab extension to develop serverless Spark workloadshttps://cloud.google.com/managed-spark/docs/guides/jupyterlab-sessions-serverless
Use the Component Gatewayhttps://cloud.google.com/managed-spark/docs/concepts/accessing/gateways
Connect to data sourceshttps://cloud.google.com/managed-spark/docs/guides/connect-to-data-sources
Connect to Cloud Storagehttps://cloud.google.com/managed-spark/docs/concepts/connectors/cloud-storage
Connect to BigQueryhttps://cloud.google.com/managed-spark/docs/concepts/connectors/bigquery
Connect Hive to BigQueryhttps://cloud.google.com/managed-spark/docs/concepts/connectors/hive-bigquery
Connect to Bigtablehttps://cloud.google.com/managed-spark/docs/concepts/connectors/cloud-bigtable
Connect to Pub/Sub Litehttps://cloud.google.com/managed-spark/docs/concepts/connectors/pubsub-lite
Fleet managementhttps://cloud.google.com/managed-spark/docs/guides/fleet-management
Enable Spark data lineagehttps://cloud.google.com/managed-spark/docs/guides/spark-lineage
Enable Hive data lineagehttps://cloud.google.com/managed-spark/docs/guides/hive-lineage
Overviewhttps://cloud.google.com/managed-spark/docs/concepts/components/overview
Delta Lakehttps://cloud.google.com/managed-spark/docs/concepts/components/delta
Dockerhttps://cloud.google.com/managed-spark/docs/concepts/components/docker
Flinkhttps://cloud.google.com/managed-spark/docs/concepts/components/flink
HBasehttps://cloud.google.com/managed-spark/docs/concepts/components/hbase
Hive WebHCathttps://cloud.google.com/managed-spark/docs/concepts/components/hivewebhcat
Hudihttps://cloud.google.com/managed-spark/docs/concepts/components/hudi
Iceberghttps://cloud.google.com/managed-spark/docs/concepts/components/iceberg
Jupyterhttps://cloud.google.com/managed-spark/docs/concepts/components/jupyter
Pighttps://cloud.google.com/managed-spark/docs/concepts/components/pig
Prestohttps://cloud.google.com/managed-spark/docs/concepts/components/presto
Install Rangerhttps://cloud.google.com/managed-spark/docs/concepts/components/ranger
Use Ranger with Kerberoshttps://cloud.google.com/managed-spark/docs/concepts/components/ranger-w-kerberos
Use Ranger with caching and downscopinghttps://cloud.google.com/managed-spark/docs/concepts/components/ranger-caching-downscoping
Back up and restore a Ranger schemahttps://cloud.google.com/managed-spark/docs/concepts/components/backup-ranger-schema
Solrhttps://cloud.google.com/managed-spark/docs/concepts/components/solr
Trinohttps://cloud.google.com/managed-spark/docs/concepts/components/trino
Zeppelinhttps://cloud.google.com/managed-spark/docs/concepts/components/zeppelin
Zookeeperhttps://cloud.google.com/managed-spark/docs/concepts/components/zookeeper
Overviewhttps://cloud.google.com/managed-spark/docs/concepts/versioning/overview
Serviceshttps://cloud.google.com/managed-spark/docs/concepts/services
Overviewhttps://cloud.google.com/managed-spark/docs/concepts/versioning/image-version-lists
3.0.x release image versionshttps://cloud.google.com/managed-spark/docs/concepts/versioning/image-release-3.0
2.3.x release image versionshttps://cloud.google.com/managed-spark/docs/concepts/versioning/image-release-2.3
2.2.x release image versionshttps://cloud.google.com/managed-spark/docs/concepts/versioning/image-release-2.2
2.1.x release image versionshttps://cloud.google.com/managed-spark/docs/concepts/versioning/image-release-2.1
Machine typeshttps://cloud.google.com/managed-spark/docs/concepts/compute/supported-machine-types
GPUshttps://cloud.google.com/managed-spark/docs/concepts/compute/gpus
Minimum CPU platformhttps://cloud.google.com/managed-spark/docs/concepts/compute/min-cpu
Flexible VMshttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/flexible-vms
Secondary workershttps://cloud.google.com/managed-spark/docs/concepts/compute/secondary-vms
Local solid state driveshttps://cloud.google.com/managed-spark/docs/concepts/compute/local-ssds
Boot diskshttps://cloud.google.com/managed-spark/docs/concepts/compute/persistent-disks
Attached hyperdiskshttps://cloud.google.com/managed-spark/docs/concepts/compute/attached-disks
Overviewhttps://cloud.google.com/managed-spark/docs/guides/create-cluster
Overviewhttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/network
Use secure tagshttps://cloud.google.com/managed-spark/docs/guides/use-secure-tags
Configure Private Service Connecthttps://cloud.google.com/managed-spark/docs/networking-private-service-connect
Select a cluster regionhttps://cloud.google.com/managed-spark/docs/concepts/cluster-region
Enable auto zone placementhttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/auto-zone
Schedule cluster deletionhttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/scheduled-deletion
Use initialization actionshttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/init-actions
Set cluster metadatahttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/metadata
Set cluster propertieshttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/cluster-properties
Enable cluster web interfaceshttps://cloud.google.com/managed-spark/docs/concepts/accessing/cluster-web-interfaces
Create a high availability clusterhttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/high-availability
Create a node group clusterhttps://cloud.google.com/managed-spark/docs/guides/node-groups/driver-node-groups
Create a partial clusterhttps://cloud.google.com/managed-spark/docs/guides/create-partial-cluster
Create a zero-scale clusterhttps://cloud.google.com/managed-spark/docs/guides/create-zero-scale-cluster
Create a single-node clusterhttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/single-node-clusters
Create sole-tenant clusterhttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/sole-tenant-nodes
Create a custom imagehttps://cloud.google.com/managed-spark/docs/guides/images
Set labels for filteringhttps://cloud.google.com/managed-spark/docs/guides/creating-managing-labels
Scale clustershttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/scaling-clusters
Overviewhttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/autoscaling
Schedule cluster stophttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/scheduled-stop
Start and stop a cluster manuallyhttps://cloud.google.com/managed-spark/docs/guides/start-stop
Recreate a clusterhttps://cloud.google.com/managed-spark/docs/guides/recreate-cluster
Rotate clustershttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/cluster-rotation
Update and delete a clusterhttps://cloud.google.com/managed-spark/docs/guides/manage-cluster
Use SSH to connect to a clusterhttps://cloud.google.com/managed-spark/docs/concepts/accessing/ssh
Follow best practiceshttps://cloud.google.com/managed-spark/docs/guides/best-practices
Hadoop data storagehttps://cloud.google.com/managed-spark/docs/concepts/hdfs
Select storage typehttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/staging-bucket
Cache cluster datahttps://cloud.google.com/managed-spark/docs/concepts/cluster-caching
Offload shuffle datahttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/enhanced-flexibility-mode
View cluster logshttps://cloud.google.com/managed-spark/docs/guides/logging#cluster-logs
Life of a jobhttps://cloud.google.com/managed-spark/docs/concepts/jobs/life-of-a-job
Restart jobshttps://cloud.google.com/managed-spark/docs/concepts/jobs/restartable-jobs
Overviewhttps://cloud.google.com/managed-spark/docs/concepts/workflows/overview
Parameterizationhttps://cloud.google.com/managed-spark/docs/concepts/workflows/workflow-parameters
Use YAML fileshttps://cloud.google.com/managed-spark/docs/concepts/workflows/use-yamls
Use cluster selectorshttps://cloud.google.com/managed-spark/docs/concepts/workflows/cluster-selectors
Use inline workflowshttps://cloud.google.com/managed-spark/docs/concepts/workflows/inline-workflows
GitHub templateshttps://cloud.google.com/managed-spark/docs/guides/templates
Workflow scheduling solutionshttps://cloud.google.com/managed-spark/docs/concepts/workflows/workflow-schedule-solutions
Use workflow templateshttps://cloud.google.com/managed-spark/docs/concepts/workflows/use-workflows
Use Cloud Composerhttps://cloud.google.com/managed-spark/docs/tutorials/workflow-composer
Use Cloud Functionshttps://cloud.google.com/managed-spark/docs/tutorials/workflow-function
Use Cloud Schedulerhttps://cloud.google.com/managed-spark/docs/tutorials/workflow-scheduler
Create node poolshttps://cloud.google.com/managed-spark/docs/guides/dpgke/gke-nodepools
Recreate a GKE virtual clusterhttps://cloud.google.com/managed-spark/docs/guides/dpgke/gke-recreate-cluster
Create a GKE custom custom container imagehttps://cloud.google.com/managed-spark/docs/guides/dpgke/gke-custom-images
Scale GKE clustershttps://cloud.google.com/managed-spark/docs/guides/dpgke/gke-scale-cluster
Delete a GKE virtualclusterhttps://cloud.google.com/managed-spark/docs/guides/dpgke/gke-delete-cluster
Release versionshttps://cloud.google.com/managed-spark/docs/guides/dpgke/gke-versions
Permissions and roleshttps://cloud.google.com/managed-spark/docs/concepts/iam-serverless
Use CMEK with Serverless for Apache Sparkhttps://cloud.google.com/managed-spark/docs/guides/cmek-serverless
Default security measureshttps://cloud.google.com/managed-spark/docs/concepts/security-serverless
Use Secret Managerhttps://cloud.google.com/managed-spark/docs/guides/hadoop-google-secret-manager-credential-provider-serverless
Create custom constraintshttps://cloud.google.com/managed-spark/docs/guides/custom-constraints-serverless
Security best practiceshttps://cloud.google.com/managed-spark/docs/concepts/security-best-practices
Authenticate to Managed Service for Apache Sparkhttps://cloud.google.com/managed-spark/docs/authentication
Authenticate personal clustershttps://cloud.google.com/managed-spark/docs/concepts/iam/personal-auth
Workforce identity federationhttps://cloud.google.com/managed-spark/docs/concepts/accessing/workforce-identity-federation
Permissions and roleshttps://cloud.google.com/managed-spark/docs/concepts/iam/iam
Managed Service for Apache Spark principalshttps://cloud.google.com/managed-spark/docs/concepts/iam/principals
Granular IAMhttps://cloud.google.com/managed-spark/docs/concepts/iam/granular-iam
Assign roles for Kuberneteshttps://cloud.google.com/managed-spark/docs/guides/dpgke/gke-iam
Service accountshttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/service-accounts
Secure multi-tenancy using Kerberoshttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/security
Secure multi-tenancy using service accountshttps://cloud.google.com/managed-spark/docs/concepts/iam/sa-multi-tenancy
Encrypt memoryhttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/confidential-compute
Manage data encryption keyshttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/customer-managed-encryption
Enable Ranger authorization servicehttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/ranger-plugin
Use the Secret Manager credential providerhttps://cloud.google.com/managed-spark/docs/guides/hadoop-google-secret-manager-credential-provider
Create and secure a Hive metastore clusterhttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/secure-hive-metastore
Create custom constraintshttps://cloud.google.com/managed-spark/docs/concepts/custom-constraints
Assured Workloadshttps://cloud.google.com/assured-workloads/docs
FedRAMP Compliancehttps://cloud.google.com/managed-spark/docs/concepts/fedramp-compliance
Use Kerberoshttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/security
VPC Service Controlshttps://cloud.google.com/managed-spark/docs/concepts/configuring-clusters/network#dataproc-vpc-sc-networks
Set Workforce accesshttps://cloud.google.com/managed-spark/docs/concepts/accessing/workforce-identity-federation
Investigate workloads with AI-powered Gemini Cloud Assisthttps://cloud.google.com/managed-spark/docs/guides/ai-investigations-with-gca
Monitor batch workloadshttps://cloud.google.com/managed-spark/docs/guides/monitor-troubleshoot-batches
Monitor interactive sessionshttps://cloud.google.com/managed-spark/docs/guides/monitor-troubleshoot-sessions
Spark metricshttps://cloud.google.com/managed-spark/docs/concepts/metrics-serverless
Enable data lineagehttps://cloud.google.com/managed-spark/docs/guides/data-lineage
Profile resource usagehttps://cloud.google.com/managed-spark/docs/guides/profiling
Resource Manager audit logshttps://cloud.google.com/managed-spark/docs/guides/dataprocrm-audit-logging
Troubleshoot batch and session creation failureshttps://cloud.google.com/managed-spark/docs/support/batch-session-creation-failures
Troubleshoot batch and session connectivityhttps://cloud.google.com/managed-spark/docs/support/troubleshoot-connectivity
Investigate clusters and jobs with AI-powered Gemini Cloud Assisthttps://cloud.google.com/managed-spark/docs/guides/gca-clusters
Overviewhttps://cloud.google.com/managed-spark/docs/guides/monitor-clusters-jobs
Managed Service for Apache Spark metricshttps://cloud.google.com/managed-spark/docs/guides/metrics
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View job historyhttps://cloud.google.com/managed-spark/docs/concepts/jobs/history-server
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Enable Kubernetes logginghttps://cloud.google.com/managed-spark/docs/guides/dpgke/gke-logging
Diagnose Kubernetes clustershttps://cloud.google.com/managed-spark/docs/guides/dpgke/gke-diagnose-cluster
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GoogleCloudPlatform/python-dataprochttps://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-dataproc/samples/generated_samples
inline workflowhttps://cloud.google.com/managed-spark/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.WorkflowTemplateService.InstantiateInlineWorkflowTemplate
instantiate_inline_workflow_template.pyhttps://github.com/googleapis/google-cloud-python/blob/main/packages/google-cloud-dataproc/samples/generated_samples/dataproc_v1_generated_workflow_template_service_instantiate_inline_workflow_template_async.py
Open in Cloud Shell https://ssh.cloud.google.com/cloudshell/open?cloudshell_git_repo=https://github.com/googleapis/python-dataproc&cloudshell_working_dir=samples/snippets&tutorial=python-api-walkthrough.md&cloudshell_open_in_editor=submit_job_to_cluster.py
Cloud Shell walkthroughhttps://cloud.google.com/dataproc/docs/tutorials/python-library-example#run-walkthrough
service account credentialshttps://cloud.google.com/docs/authentication/production#obtaining_and_providing_service_account_credentials_manually
CreateClusterhttps://cloud.google.com/managed-spark/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.ClusterController.CreateCluster
SubmitJobhttps://cloud.google.com/managed-spark/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.JobController.SubmitJob
DeleteClusterhttps://cloud.google.com/managed-spark/docs/reference/rpc/google.cloud.dataproc.v1#google.cloud.dataproc.v1.JobController.DeleteCluster
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