Changelog¶
Version 1.9.0 (Dec 8, 2022)¶
Driverless: Added support for single-user multinode clusters
Driverless: Fixed maximum uptime detection
Sparkling Water: Added support for the latest version of Sparkling Water
Kubernetes: Disabled auto-mounting of service account tokens
Kubernetes: Set specific secure default for Pod seccomp profile
Python: Removed tokens from Python client logging
Helm: Added support for custom CA certificates
Version 1.8.14 (Sep 13, 2022)¶
Driverless: Added ability to change instance ownership
Profiles: Fixed updating of users roles
Reporting: Fixed session ready time being overwritten
Version 1.8.13 (Jul 12, 2022)¶
Kubernetes: Improved resiliency to K8S API connectivity disruptions
Kubernetes: Added support for marking engines as experimental
Driverless: Improved resiliency to DAI API connectivity disruptions
H2O Kubernetes: Fixed XGBoost functionality on clusters with additional security hardening
H2O Kubernetes: Fixed cluster duration reporting
H2O Kubernetes: Stopped cluster are now correctly referred to as “Terminated” in the UI
Authentication: Fixed issues with usernames containing special characters
Helm: Added option to preserve state (PVC) after deleting a Helm release
Helm: Added option to include Openshift specific RBAC roles
Python: Fixed a regression in the Python API
Version 1.8.12 (May 11, 2022)¶
Driverless: Added an opt-in support for v2 OIDC authentication
Kubernetes: Added an option to disable a profile
Authentication: Added support for OIDC ACR values
Python: Added a function to upgrade Driverless AI instances
R Client: Fixed Windows connection errors by replacing RCurl with httr
Security: New Kubernetes runtime Docker image
Security: Additional hardening of Kubernetes deployed workloads
Helm: Allow to pass extra env to Steam container
Helm: Added support for v1 of Ingress
Version 1.8.11 (Feb 3, 2022)¶
Log4j: Added automatic patching for H2O-3 engines containing vulnerable JAR files
H2O Kubernetes: Added support for R client
H2O Kubernetes: Added configurable startup options per profile
H2O Kubernetes: Fixed dataset parameter calculator
H2O Kubernetes: Fixed Flow directory not being in a writeable location
Driverless: Expanded logs to include DAI logs of previous run
Driverless: Improved startup indication of NotTriggerScaleUp event
Driverless: Fixed instance upgrade for deleted engine versions
Driverless: Fixed instance link being visible to admin users
OIDC: Added expiry information to OidcTokenProvider
OIDC: Fixed admin role not cleared properly when loosing admin privileges
OIDC: Fixed personal access token in R client
Python: Fixed admin user not being able to act upon instances of other users
Documentation: Added H2O AI Cloud specific user documentation
Documentation: Added H2O on K8S examples to Python client docs
Version 1.8.10 (Dec 2, 2021)¶
LDAP: Added support for multiple authentication servers
Kubernetes: Added support for manually mounted volumes
Driverless: Fixed support for Driverless AI 1.10.1
Driverless: Improved startup time
Driverless: Added option to rename instances for regular users
Driverless: Added option to Stop instances that are in Connecting state
H2O Kubernetes: Fixed engine sorting
Web UI: Added configurable support email address
Sparkling Water: Fixed Jupyterhub database migration
Helm: Fixed service annotations
Docs: Fixed generate Python client admin documentation
Security: Fixed reported security vulnerabilities
Version 1.8.9 (Oct 20, 2021)¶
Driverless: Added support for renaming instances
Driverless: Added support for increased shared memory
Driverless: Fixed race condition in the reconciliation logic
Driverless: Fixed fetching logs when init containers are in use
H2O Kubernetes: Added ability to download logs from failed clusters
Kubernetes: Added option to disable Host Path mount type
Web Client: Fixed idle and up times for failed instances
Web Client: Fixed frontend idle timeout not redirecting to the correct login page
Python Client: Fixed Conda Python 2.7 client
Python Client: Fixed DAI Python client download on shared systems
Security: Fixed reported security vulnerabilities
Documentation: Added a startup option to disable this feature
Installation: Added configurable Livy and Jupyterhub ports
Version 1.8.8 (Aug 26, 2021)¶
Kubernetes: Expanded functionality of init containers
Driverless Kubernetes: Added support Driverless AI 1.10
Driverless Kubernetes: Added an info screen for stopped instances
Driverless Kubernetes: Fixed position of the “Refresh” button on the logs screen
H2O Kubernetes: Added support for launching a copy of existing H2O cluster
H2O Kubernetes: Added support for older H2O-3 K8S releases
H2O Kubernetes: Fixed H2O usage report download
Sparkling Water: Added support for Jupyter notebooks owned and stored in user location
Web UI: Fixed dropdown in Volume Mounts not updating state
OIDC: Fixed users not being re-created when identity changes
LDAP: Fixed search filter escaping
Security: Added options to define if administrators can stop and delete instances/clusters
Security: Added Secure Cookie flag option
Security: Disabled autocompletion on the login screen
Security: Updated dependencies
Python: Added get_instances to DriverlessClient
Python: Added AdminClient.enable_dai_kubernetes & AdminClient.enable_h2o_kubernetes
Python: Fixed error with AdminClient.delete_user_resources
Docs: Fixed container tolerations & init containers help text
Version 1.8.7 (Jul 15, 2021)¶
Added configurable global prefix for all Steam URLs
Kubernetes: Added support for init containers
Kubernetes: Added support for tolerances
Kubernetes: New smaller Docker image for Steam on Kubernetes only
Kubernetes: Improved timeout failure error description
Driverless Kubernetes: Fixed restarting instances through Python client
Driverless Kubernetes: Fixed status refresh rate for running instances
H2O Kubernetes: Fixed issues with empty GPU Resource Name
H2O Hadoop: Reduced IO load when submitting Hadoop jobs
H2O Hadoop: Added support for SSL JDBC URL
H2O Hadoop: Improved environment logging
Security: Added option to not serve non-TLS requests
Docs: Improved Kubernetes CPU definition
Docs: Improved Hadoop impersonation guide
Installation: Helm: Removed wildcard resources from Role
Version 1.8.6 (Jun 15, 2021)¶
H2O Hadoop: Added configurable prefix for output directory
H2O Kubernetes: Fixed external XGBoost crash
Driverless Kubernetes: Fixed logging issue that can cause out of memory crashes
Python Client: Added option to establish http connection to Steam server
Documentation: Added troubleshooting steps for Sparkling Water on Hadoop
Version 1.8.5 (Jun 2, 2021)¶
Driverless Kubernetes: Added option to specify Load Balancer source ranges
H2O Kubernetes: Fixed Forbidden error with non unique cluster names
Sparkling Water: Added configurable YARN job prefix
Kubernetes: No longer setting security context if no UID or GID is provided
Kubernetes: Added support for automatic restarts when using Linkerd
Kubernetes: Added ability to trace cluster launch events
Profiles: Fixed duplicate profiles appearing to users
R Client: Fixed launching H2O cluster
Version 1.8.4 (Apr 30, 2021)¶
Driverless AI: Added user-configurable config.toml feature
Auth: Fixed “Bcrypt” error when logging in
Auth: Fixed “Too Many Redirect” error when admin account is disabled
OIDC: Fixed Python login invaliding refresh token
Web Client: Fixed typo on the H2O-3 cluster sizing screen
Docs: Fixed issues with searching in documentation
Docs: Fixed “Getting Started” R Client documentation
Licensing: Fixed license manager validation
Version 1.8.3 (Apr 22, 2021)¶
Driverless Kubernetes: Added configurable timeout to profiles
Driverless Kubernetes: Added option to change profile of existing instances
H2O Kubernetes: Fixed cluster list sorting
Multinode Kubernetes: Allowed cluster name reuse
Multinode Kubernetes: Added error message when started by non-oidc user
Kubernetes: Fixed special characters in usernames causing failed clusters/instances
H2O Hadoop: Timeout parameter now applies to the execution of hadoop commands as well
Sparkling Water: Fixed Spark properties not accepting multiple values
Python Client: Added support for multiple client connections in one Python session
Python Client: Added admin method for terminating all clusters/instances of a user
Python Client: Added backend_version_override for Driverless connection
Python Client: Added no_proxy argument for h2osteam.login
Login: Changed login button text and added option to hide the administrator access button
Localization: Fixed issues with Turkish user input
Planned deprecations¶
Python Client: use of static methods of DriverlessClient, MultinodeClient and H2oKubernetesClient will be removed in the 1.9 version in favor of class methods
Python Client: class SteamClient and all of its methods will be removed in the 1.9 version in favor of dedicated clients H2oClient and SparklingClient
Version 1.8.2 (Apr 7, 2021)¶
H2O on Hadoop: Added support for fault tolerant Grid Search
H2O on Kubernetes: Added support for overriding Java and H2O arguments
Sparkling Water on Hadoop: Added support for connecting to the underlying H2O cluster thorough the Python client
Kubernetes: Added support for profile defined Pod labels and annotations
OIDC: Added support for Personal Access Token
OIDC: Added support for IDPs with single use refresh tokens
OIDC: Added support for supplying fresh access token to Driverless AI client
OIDC: Added support for configurable logout link
OIDC: Fixed race condition when refreshing tokens
PAM: Added support for user groups
Local: Added support for Roles in local authentication mode
Security: Added an option to disable the default admin user
Licensing: Added support for uploading license via the Python client
Helm Installation: Fixed PersistentVolumeClaim override not applying
Helm Installation: Added configurable Pod labels and metadata
Autodoc: Removed autodoc integration
Documentation: Added link between user and admin guide
Documentation: Improved Driverless AI documentation
Version 1.8.1 (Mar 2, 2021)¶
New Feature: Added support for external H2O XGBoost cluster on Kubernetes
New Feature: Added support for H2O internode security on Kubernetes
New Feature: Added support for usage reporting for H2O on Kubernetes
New Feature: Added support for mounting Kubernetes volumes to H2O
H2O: Fixed cluster saving when timeout was reached
Sparkling Water: Added support for Sparkling Water 3.32
OpenID: Improved token validation and refreshing
OpenID: Fixed enabling OpenID authentication
Licensing: Added support for H2O License Manager for Driverless AI
Licensing: Added support for new Steam license format
Security: Prevent configurations passed as Env Vars to be persisted on disk
Documentation: Added R client PDF documentation for offline use
Python Client: Disabled strict version check
Python Client: Fixed issue that prevented connection to OpenID secured instances using own DAI client
Web Client: Stopped blocking browsers that are not Chrome or Firefox
Web Client: Improved loading indicators
Helm Installation: Added support for new IngressClass name parameter
Version 1.8.0 (Feb 1, 2021)¶
New Feature: Added support for H2O-3 on Kubernetes
New Feature: Added support for Multinode Driverless AI clusters
New Feature: Added support for saving and restoring state of H2O clusters on Hadoop
Kubernetes: Added option to specify pull policy and pull secret when creating engines
Kubernetes: Added support for custom Load Balancer annotations
Kubernetes: Added configurable fallback UID/GID for launching Pods
Kubernetes: Fixed incorrect GPU usage on GPU hosts
Authentication: Added configurable session duration
Python Client: Added support for login with OpenID access/refresh token
OpenID: Obtaining Personal Access Token returns the OpenID refresh token
OpenID: Added support for nested claims in OIDC tokens
Configuration: Added support for configuration through environmental variables
Installation: Helm: Fixed LoadBalancer port not being respected
Documentation: Fixes and improvements to Steam documentation
Version 1.7.7 (Dec 17, 2020)¶
H2O: Improved automatic cluster sizing to support binary file formats
Driverless AI: Added missing max_idle_h and max_uptime_h parameters in the Python Client
Driverless AI: Prevent attempts to connect to non-running instance with the Python Client
Driverless AI: Fixed an issue when upgrading instances
Driverless AI: Fixed an issue that caused instances to fail prematurely
Driverless AI: Fixed server assignment for the h2o-agent backend
Driverless AI: Deprecated h2o-agent backend in favor of kubernetes backend
Sparkling Water: Fixed an issue with data import from Kerberized Hive
OpenID: Added support for Google OpenID provider
OpenID: Fixed metadata validation
OpenID: Improved group membership extraction and logging
LDAP: Prevent group search when no group configuration was provided
LDAP: Fixed group search issue with certain LDAP providers
Profiles: Fixed issue when matching roles to profiles
Profiles: Fixed duplicate profiles on selection screen
Users: Disable profile assignment checkboxes that would have no effect
Users: Added an option to manually override the admin user
Python Client: Now downloadable from Web Client
Python Client: Added toml dependency for Driverless AI Client
Autodoc: Upgraded autodoc to 1.0.3-301
Installation: Switched from initv to systemd for RPM installations
Installation: Added support for Helm v2
Version 1.7.6 (Nov 3, 2020)¶
Driverless AI: Added integration with ModelOps (h2oai-storage)
Driverless AI: Added support for profile resource limits
Driverless AI: Added UI elements to see status of starting instances
Driverless AI: Added data export to monitor usage
Driverless AI: Fixed profile instance limit not being honored
Driverless AI: Fixed permission errors when launching instances with custom UID
Driverless AI: Fixed administrators being able to Start and Terminate instances of regular users
H2O: Started logging shutdown events into H2O logs
Autodoc: Upgraded H2O Autodoc to v1.0.3-279
Kubernetes: Cluster-wide RBAC permissions are no longer required
Kubernetes: Automatically detect Namespace
Kubernetes: Automatically detect default StorageClass
Kubernetes: Added support for amd.com/gpu
OpenID: Added support for mapping OpenID groups to roles and profiles
OpenID: Automatically detect correct login/logout URLs
OpenID: Logout will now correctly end OpenID session
OpenID: Fixed passing of access tokens between applications
Roles: Reworked the Roles screen to map user groups to Steam roles
Licensing: Improved the License screen to accept license strings in addition to license files
Licensing: Added support for LicenseManager issued licenses
Docker: Reduced the size of the Docker image
Version 1.7.5 (Sep 29, 2020)¶
H2O: Increased timeout for initial connection to the cluster
Driverless AI: When enabled, instances are protected with OpenID authentication
Driverless AI: Added support for Minio connector
Driverless AI: Pass sensitive config.toml values as Secrets on Kubernetes
Driverless AI: Added ability to download logs from failed/stopped instances
Driverless AI: Instances now use the correct amount of cores instead of all cores
Helm: Added Ingress example
Helm: Allow mounting of additional volumes to Enterprise Steam
Helm: Allow configurable runAsUser
Fixed http to https redirect to prevent issues when deployed behind reverse proxy
Fixed issue with Driverless AI profile selector in Web Client
Fixed invisible instance name requirements in Web Client
Fixed RPM installation warning
Version 1.7.4 (Sep 14, 2020)¶
Installation: Created Helm Chart for installation on Kubernetes
Python Client: Added automatic cluster sizing for H2O and Sparkling Water
Documentation: Added Getting Started guide for Python client
Autodoc: Upgraded H2O Autodoc to v1.0.2-256 and added support for new parameters
Fixed Rsparkling for Sparkling Water >3.28.0.4
Fixed Driverless instance license is not updated when global DAI license changes
Fixed error when launching an instance with extra env variables from profiles
Fixed error when configuring authentication other than OpenID
Version 1.7.3 (Sep 2, 2020)¶
New Feature: Added support for external H2O XGBoost cluster
New Feature: Added support for OpenID connect authentication
New Feature: Added support for PAM authentication
New Feature: Added management of Kubernetes volumes
Driverless AI: Added support for HDFS and Hive data connectors
Driverless AI: Added monitoring and limits for idle and uptime
Driverless AI: Existing instance storage can now be expanded if supported by Kubernetes StorageClass
Driverless AI: Additional environmental variables can be passed to the instance using a profile
Driverless AI: Instance are now started using user’s UID and GID if provided
Autodoc: Upgraded H2O Autodoc to v1.0.2-254
Kubernetes: All Kubernetes objects created by Enterprise Steam are now properly labeled
Logging: Support bundle now also contains Steam configuration and logs if exported by an administrator
Configuration: Exported configuration can now be automatically loaded on first launch to help fully scripted installations
H2O, Sparkling Water, Driverless AI: Stuck clusters/instance can be marked as failed and deleted
Fixed incorrect validation of Driverless AI storage on instance restart
Fixed “database is locked” error when database is under heavy load
Fixed Sparkling Water memory overhead calculation for XGBoost
Fixed incorrect archive extension with H2O R package
Fixed an error when R Client failed to connect to H2O cluster
Version 1.7.2 (Jul 9, 2020)¶
New Feature: Added managed Driverless AI Python client
Licensing: License is now accepted as base64 encoded file as well
Web Client: Added a profile option to enable old cluster launch screen
Web Client: Fixed missing Sparkling Water driver parameters
Web Client: Fixed an error with unassigned Python environments
Web Client: Fonts now display properly on offline installations
Python Client: Fixed an issue with importing engines
Installation: Upgrade now preserves ownership of Steam files and directories
Documentation: Greatly improved the user documentation
Documentation: Fixed Driverless AI examples in Python client documentation
Version 1.7.1 (Jun 8, 2020)¶
Web Client: Added H2O logs to the Logs screen and download bundle
Web Client: Fixed Conda environment upload
Python Client: Added backward compatibility with Enterprise Steam v1.6
Python Client: Fix for cacert bundle not being used when connecting to H2O
Driverless Kubernetes: Fixed liveness probe being too strict in some cases
Autodoc: Updated autodoc
Autodoc: Added Autodoc logs to the Logs screen and download bundle
Installation: Added support for high availability installation
Documentation: Documented high availability installation
Authentication: Login sessions now persist across Enterprise Steam restarts
Dependencies: Upgraded dependencies
Version 1.7.0 (May 25, 2020)¶
Major: Added support for running Enterprise Steam inside Kubernetes cluster
Major: Added support for deploying and managing Driverless AI instances on Kubernetes
Major: Added support for ML-Autodoc for automated H2O model documentation
Web Client: Redesigned the Web client for managing H2O/Sparkling Water clusters and Driverless AI instances
Web Client: Added automatic H2O and Sparkling Water cluster sizing when launching clusters
Web Client: Added support for displaying and downloading YARN logs of H2O and Sparkling Water clusters
Web Client: Added support for displaying and downloading H2O driver logs
Web Client: Added support for displaying and downloading Sparkling Water spark-submit logs
Web Client: Added support for displaying lifecycle events of H2O/Sparkling Water clusters and Driverless AI instances
Web Client: Added support for launching copies of H2O and Sparkling Water clusters
Web Client: Improved validation when launching H2O/Sparkling Water clusters and Driverless AI instances
Python Client: New API client
R Client: New API client
H2O: Added configuration to add YARN job name prefix
H2O: Added support for importing engine from the server
Sparkling: Added support for importing engine from the server
Sparkling: Added configuration to add extra JARs to the classpath
Sparkling: Added configurable maximum idle and uptime for clusters
Documentation: New documentation for Python client
Documentation: New documentation for R client
Documentation: New documentation for using ML-Autodoc with Enterprise Steam
Installation: Simplified installation and upgrade
Installation: Moved initial administrator setup from CLI to the Web Client
Installation: Added separate directories for static assets and data to support high availability deployments
Dependencies: Upgraded dependencies
Dependencies: Replaced HAProxy with Traefik
Various other fixes and improvements
Version 1.6.7 (Apr 28, 2020)¶
Fixed issue with environments containing multiple Spark installations
Version 1.6.6 (Apr 20, 2020)¶
Added support for Hive in H2O and Sparkling Water
Added support for Sparkling Water engines 3.28.1.1 and higher
Added option to allow insecure XGBoost
Fixed parsing of Spark properties containing ‘=’
Fixed possible corruption of HAProxy configuration
Version 1.6.5 (Mar 2, 2020)¶
Fixed custom Hadoop temporary directory to be part of HADOOP_CLIENT_OPTS
Version 1.6.4 (Feb 12, 2020)¶
Fixed error in Hadoop Helper for Java 7 Hadoop distributions
Fixed error when creating Python environment with the same name as deleted environment
Improved validation and documentation for LDAPs with internal certificate authority
Improved documentation for Driverless AI config.toml override
Improved documentation for Driverless AI installation prerequisites
Version 1.6.3 (Jan 31, 2020)¶
Supports RSparkling 3.28
Use Hadoop Tmp Dir for Hadoop Helper commands to prevent slowdowns
Fixed an issue with old DAI servers preventing instances from loading
Fixed server panic with invalid LDAP over TLS configuration
Fixed initial LDAP config requiring server restart
Version 1.6.2 (Jan 20, 2020)¶
Supports Sparkling Water 3.28
Fixed LDAP over TLS
Fixed SAML token login in R client
Fixed H2O profile not saving YARN queues
Version 1.6.1 (Jan 14, 2020)¶
Fixed mutual TLS setup
Fixed Driverless AI version parser
Add datatable_strategy WRITE to default DAI launch config
Add Driverless AI instance password to the instance details
Docs: Updated copyright year to include 2020
Version 1.6.0 (Dec 18, 2019)¶
Complete UI overhaul of configuration page for administrators.
New administrator settings for individual products and deployment backends and other configuration.
Improved UI/UX experience.
Moved most of the settings from steam.yaml into the administrator configuration in Steam UI.
Configuration file steam.yaml is no longer required.
Enabling Hadoop backend now thoroughly validates all settings to ensure they are correct (Proxyuser, Kerberos, …).
Added ability to export and import configuration.
Several settings no longer require Enterprise Steam restart.
Added indicator when Enterprise Steam needs to restart to apply changes.
Added option to use existing Livy server for Sparkling Water as long as it is on the same host as Enterprise Steam.
HAProxy comes bundled and does not need to be installed separately.
Steam Hadoop Helper (Steam Manager) comes bundled and does not need to be installed separately.
Additional HADOOP_CLASSPATH options can be added when launching H2O clusters.
Added ability to download complete Enterprise Steam logs from the UI.
Added SAML configuration validation.
Added cacert option when connecting to Steam or H2O clusters via Python client.
Added option to ensure internal secure connections with H2O and Sparkling Water clusters.
Added warning when uploading non-Hadoop version of H2O engine.
Improved database migration.
Improved validation of H2O Launch Parameters.
Fixed bug where Sparkling Water could not launch when users reused cluster names.
Fixed bug where Sparkling Water could not launch when the cluster name contained spaces.
Fixed UI issue when uploading Python environments with the same name.
Fixed Python environment selection when no Python environments assigned.
Fixed auto-assigment of profiles to LDAP groups
Version 1.5.1 (Nov 21, 2019)¶
Fixed a database migration bug affecting new installations.
Version 1.5.0 (Oct 10, 2019)¶
Added ability to launch Driverless AI instances.
Added ability to use Conda environments with Sparkling Water
Version 1.4.11 (Oct 1, 2019)¶
Fix token authentication in Python client when SAML is used
Fix R and Python client when internal and external ports do not match
Support recent versions of Sparkling Water
Version 1.4.10 (Jul 19, 2019)¶
Added an ability to download H2O logs from Steam UI
Added a config option for custom KRB5_CONFIG (STEAM_KRB5_CONFIG)
Added support for templating in YARN queue names
Added a check to ensure the Spark version and Sparkling Water version match
Added a check to warn admin if Steam port is occupied
Improved fetching of H2O YARN job status to now use impersonation
Fixed h2osteam Conda package
Fixed issue when Sparkling Water cluster failed to start when SPARK_YARN_MODE property was set
Version 1.4.9 (May 21, 2019)¶
Added Conda packages for Python client
Added ability to delete multiple stopped clusters at the same time
Added Python PySpark path configuration to profile
Added YARN queue configuration to user setting
Removed the need for secondary external port
Configuration fields are now protected from trailing and leading whitespace characters
Updated pysparkling dependencies for Python2
Fixed an issue with YARN usernames being lowercased when they were not configured to do so
Version 1.4.8 (Apr 15, 2019)¶
Add support for RSparkling through Jupyter notebook
Add option to disable Jupyterhub
Expose internal address and node ID for H2O cluster in the Steam Web UI
Add option to specify path to custom Pyspark Python for Sparkling Water
Fix pysparkling dependencies for Python3
Updated engine upload backend
Version 1.4.7 (Apr 3, 2019)¶
Fix Sparkling Water proxy issue with upercase usernames
Improve uploading h2o-3 engines
Set SPARK_YARN_MODE correctly based on the hadoop distribution
Version 1.4.6 (Apr 1, 2019)¶
Added ability to choose H2O-3 Leader Node when starting a cluster
Added ability to control the number of clusters a user can spin per cluster profile
Added option to select default Sparkling Water backend
Added automatic redirection back to login with an expired session cookie
Added an ability to auto-assign Steam profiles according to SAML profiles
Docs: Add “Before you begin installation” section
Docs: Documented steam.yaml configuration options
Docs: Updated documentation
Fix an issue when Steam was hitting API endpoints of dead clusters
Fix and issue when hadoop-unjar files were not deleted from temp directory
Fix issue with upercase usernames and Sparkling Water on Hadoop
Version 1.4.5 (Mar 22, 2019)¶
Added Configurable Steam Web UI timeout (STEAM_WEB_UI_TIMEOUT_MIN)
Version 1.4.4 (Feb 20, 2019)¶
Make log file permissions configurable (STEAM_LOG_PERMISSIONS)
H2O: Communicate with cluster using leader node only
SW: Added support for Hive tables
SW: Disable Spark dynamic allocation for internal backend
SW: Bundle and distribute all pysparkling dependencies
LDAP group configuration is no longer mandatory
Bug fixes for Jupyterhub
Bug fixes for Sparkling Water params
Bug fixes for CDH5
Version 1.4.3 (Jan 29, 2019)¶
Added ability to provide secure HTTP headers (SERVER_STRICT_TRANSPORT, SERVER_X_XSS_PROTECTION, SERVER_CONTENT_SECURITY_POLICY)
Improved logging output, time in UTC
Accept encrypted TLS private keys
Log files permissions elevated for the group
Bug fixes for HDP Spark
Bug fixes for Sparkling Water integration
Bug fixes for Steam Python API
Bug fixes for LDAP connector
Bug fixes for Jupyterhub
Bug fixes for Steam Web UI
Version 1.4.2 (Jan 1, 2019)¶
Add ability to upload H2O engine jar from Python/R API
Remove cluster dialog waits until cluster has been shut down
Log successful logins
Log files permissions reduced
Steam nbextension shows “please wait” when changing clusters
Document setup and troubleshooting steps for Hadoop/Kerberos configuration
Bug fixes
Version 1.4.1 (Dec 3, 2018)¶
Enable Sparkling Water API from API
Hide disabled user with a checkbox
Display message if there are no clusters to show
Fix glibc dependency for steam binary
Fix documentation version
Add release notes to documentation
Version 1.4.0 (Nov 23, 2018)¶
Add Sparkling Water integration
Add SAML authentication
Add More detailed cluster profiles
New cluster overview
New launch cluster page
Add option to generate Personal access tokens