Changelog
=========

Version 1.9.8 (Nov 17, 2023)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- Driverless: Reduced startup time by preventing unnecessary data directory checks.
- Fixed inaccessible workloads when TLS is enabled.

Version 1.9.7 (Sep 1, 2023)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- H2O Kubernetes: Added option to specify extra environmental variables.
- Configuration: Added deprecation mode in the licensing configuration.
- Driverless: Fixed authorization forward URL exploit in legacy OIDC authentication.
- Security: Addressed vulnerabilities in the runtime image.
- Security: Upgraded dependencies.

Version 1.9.6 (Aug 7, 2023)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- Helm: Added annotations and labels for H2O Cloud integration.
- Helm: Added support to override the namespace where the chart is deployed to.

Version 1.9.5 (Jul 13, 2023)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- Driverless: Added option to toggle Triton (and CAP_SYS_NICE capability) on/off
- Hadoop: Added support for Hadoop 3.3

Version 1.9.4 (May 16, 2023)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- H2O Kubernetes: Added support for H2O 3.40
- Python: Reduced excessive logging of client requests

Version 1.9.3 (Apr 4, 2023)
~~~~~~~~~~~~~~~~~~~~~~~~~~~

- Driverless: Added support for Driverless AI 1.10.5
- Driverless: Automatic entity migration when changing the ownership on an instance

Version 1.9.2 (Mar 21, 2023)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- Added support for the H2O AI Cloud Discovery Service

Version 1.9.1 (Jan 25, 2023)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- Kubernetes: Added support for Kubernetes 1.26
- Kubernetes: Configurable seccomp profile
- Helm: Fixed support for custom CA certificates
- Helm: Removed unnecessary RBAC permissions

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