Change Log

v2.1.28 (2018-05-15)

Download at: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/28/index.html

  • Bug
    • SW-817 - Enable running MOJO spark pipeline without H2O init
    • SW-825 - Local creation of Sparkling Water does not work anymore.
    • SW-831 - Check shape of H2O frame after the conversion from Spark frame
    • SW-834 - External Backend stored sparse vector values incorrectly
  • Improvement
    • SW-829 - Type checking in PySparkling pipelines
    • SW-832 - Small refactoring in identifiers
    • SW-833 - Explicitly set source and target java versions
    • SW-837 - Upgrade H2O to 3.18.0.9
    • SW-838 - Upgrade Mojo pipeline dependency to 0.9.8
    • SW-840 - Add test checking column names and types between spark and mojo2

v2.1.27 (2018-05-02)

Download at: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/27/index.html

  • Bug
    • SW-574 - Process steam handle and use it for connection to external h2o cluster
    • SW-822 - Require correct colorama version
    • SW-823 - Fix Windows starting scripts
    • SW-824 - Fix NPE in mojo pipeline predictions
  • New Feature
    • SW-827 - Change color highlight in scala cell as it is too dark
  • Improvement
    • SW-815 - Upgrade H2O to 3.18.0.8
    • SW-816 - Update Mojo2 dependency to one which is compatible with Java7
    • SW-818 - Spark Pipeline imports do not work in PySparkling
    • SW-819 - Add ability to convert specific columns to categoricals in Sparkling Water pipelines
    • SW-820 - Sparkling Water pipelines add duplicate response column to the list of features

v2.1.26 (2018-04-19)

Download at: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/26/index.html

  • Bug
    • SW-672 - Enable using sparkling water maven packages in databricks cloud
    • SW-787 - Documentation fixes
    • SW-790 - Add missing seed argument to H2OAutoml pipeline step
    • SW-794 - Point to proper web-based docs
    • SW-796 - Use parquet provided by Spark
    • SW-797 - Automatically update redirect table as part of release pipeline
    • SW-806 - Fix exporting and importing of pipeline steps and mojo models to and from HDFS
  • Improvement
    • SW-772 - Integrate & Test Mojo Pipeline with Sparkling Water
    • SW-789 - Upgrade H2O to 3.18.0.7
    • SW-791 - Expose context_path in Sparkling Water
    • SW-793 - Create additional test verifying that the new light endpoint works as expected
    • SW-798 - Additional link to documentation
    • SW-800 - Remove references to Sparkling Water 2.0
    • SW-804 - Reduce time of H2OAutoml step in pipeline tests to 1 minute
    • SW-808 - Upgrade to Gradle 4.7

v2.1.25 (2018-03-29)

Download at: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/25/index.html

  • Bug
    • SW-696 - Intermittent script test issue on external backend
    • SW-726 - Mark Spark dependencies as provided on artefacts published to maven
    • SW-740 - Increase timeout for conversion in pyunit test for external cluster
    • SW-760 - Fix doc artefact publication
    • SW-763 - Remove support for downloading H2O logs from Spark UI
    • SW-766 - Fix coding style issue
    • SW-769 - Fix import
    • SW-776 - sparkling water from maven does not know the stacktrace_collector_interval option
    • SW-778 - Handle nulls properly in H2OMojoModel
  • New Feature
    • SW-722 - [PySparkling] Check for correct data type as part of as_h2o_frame
  • Improvement
    • SW-733 - Parametrize pipeline scripts to be able to specify different algorithms
    • SW-746 - Log chunk layout after the conversion of data to external H2O cluster
    • SW-755 - Document GBM Grid Search Pipeline Step
    • SW-765 - Remove test artefacts from the sparkling-water assembly
    • SW-768 - Add missing import
    • SW-773 - Don't use default value for output dir in external backend, it's not required
    • SW-780 - Upgrade H2O to 3.18.0.5
  • Docs
    • SW-775 - Fix link for documentation on DEVEL.md

v2.1.24 (2018-03-08)

Download at: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/24/index.html

  • Bug
    • SW-739 - Sparkling Water Doc artefact is still missing Scala version
    • SW-742 - Fix setting up node network mask on external cluster
    • SW-743 - Allow to set LDAP and different security options in external backend as well
    • SW-747 - Fix bug in documentation for manual mode of external backend
    • SW-757 - Fix tests after enabling the stack-trace collection
  • Improvement
    • SW-744 - Document how to use Sparkling Water with LDAP in Sparkling Water docs
    • SW-745 - Expose Grid search as Spark pipeline step in the Scala API
    • SW-748 - Upgrade to Gradle 4.6
    • SW-752 - Collect stack traces on each h2o node as part of log collecting extension
    • SW-754 - Upgrade H2O to 3.18.0.3
    • SW-756 - Upgrade H2O to 3.18.0.4
  • Docs
    • SW-753 - Add "How to" for changing the default H2O port

v2.1.23 (2018-02-26)

Download at: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/23/index.html

  • Bug
    • SW-723 - Sparkling water doc artefact is missing scala version
    • SW-727 - Improve method for downloading H2O logs
    • SW-728 - Use new light endpoint introduced in 3.18.0.1
    • SW-734 - Make sure we use the unique key names in split method
    • SW-736 - Document how to download logs on Databricks cluster
    • SW-737 - Expose downloadH2OLogs on H2OContext in PySparkling
    • SW-738 - Move spark.ext.h2o.node.network.mask setter to SharedArguments
  • Improvement
    • SW-702 - Create Spark Transformer for AutoML
    • SW-725 - create an an equvivalent of h2o.download_all_logs in scala
    • SW-730 - Upgrade H2O to 3.18.0.2

v2.1.22 (2018-02-14)

Download at: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/22/index.html

  • Technical task
    • SW-652 - Deliver SW documentation in HTML output
  • Bug
    • SW-685 - Fix Typo in documentation
    • SW-695 - Make printHadoopDistributions gradle task available again for testing
    • SW-701 - Kill the client when one of the h2o nodes went OOM in external mode
    • SW-706 - Fix pysparkling.ml import for non-interactive sessions
    • SW-707 - parquet import fails on HDP with Spark 2.0 (azure hdi cluster)
    • SW-708 - Make sure H2OMojoModel does not required H2OContext to be initialized
    • SW-709 - Fix mojo predictions tests
    • SW-710 - In PySparkling pipelines, ensure that if users pass integer to double type we handle that correctly for all possible double values
    • SW-713 - Write a simple test for parquet import in Sparkling Water
    • SW-714 - Add option to H2OModel pipeline step allowing us to convert unknown categoricals to NAs
    • SW-715 - Fix driverif configuration on the external backend
  • Improvement
    • SW-606 - Verify & Document run of RSparkling on top of Databricks Azure cluster
    • SW-678 - Document how to change log location
    • SW-683 - H2OContext can't be initalized on Databricks cloud
    • SW-686 - Fix typo in documentation
    • SW-687 - Upgrade Gradle to 4.5
    • SW-688 - Update docs - SparklyR supports Spark 2.2.1 in the latest release
    • SW-690 - Log Sparkling Water version during startup of Sparkling Water
    • SW-693 - Allow to set driverIf on external H2O backend
    • SW-694 - Fix creation of Extended JAR in gradle task
    • SW-700 - Report Yarn App ID of spark application in H2OContext
    • SW-703 - Upload generated sphinx documentation to S3
    • SW-704 - Update links on the download page to point to the new docs
    • SW-705 - Increase memory for JUNIT tests
    • SW-718 - Upgrade to Gradle 4.5.1
    • SW-719 - Upgrade to H2O 3.18.0.1
    • SW-720 - Fix parquet import test on external backend
  • Docs
    • SW-697 - Final updates for Sparkling Water html output
    • SW-698 - Update "Contributing" section in Sparkling Water

v2.1.21 (2018-01-18)

Download at: http://h2o-release.s3.amazonaws.com/sparkling-water/rel-2.1/21/index.html

  • Bug
    • SW-273 - Remove workaround introduced by SW-272 for yarn/cluster mode
    • SW-551 - Remove hotfix introduced by [SW-541] and implement proper fix
    • SW-662 - Remove extra files that got into the repo
    • SW-666 - Kill the cluster when a new executors joins in the internal backend
    • SW-668 - Generate download link as part of the release notes
    • SW-669 - Remove mentions of local-cluster in public docs
    • SW-670 - Deprecated call in H2OContextInitDemo
    • SW-671 - Fix jenkinsfile for builds again specific h2o branches
  • Improvement
    • SW-674 - Update H2O to 3.16.0.4
    • SW-675 - Tiny clean up of the release code
    • SW-679 - Cleaner release script
    • SW-680 - Ensure S3 in release pipeline does depend only on credentials provided from Jenkins
    • SW-681 - Separate releasing on Github and Publishing artifacts

v2.1.20 (2018-01-03)

  • Bug
    • SW-627 - [PySparkling] calling as_spark_frame for the second time results in exception
    • SW-630 - Fix ham or spam flow to reflect latest changes in pipelines
    • SW-631 - Ensure that we do not access RDDs in pipelines ( to unblock the deployment)
    • SW-646 - Fix incosistencies in ham or spam examples between scala and python
    • SW-648 - Fix ham or spam pipeline tests
    • SW-649 - Fix ham or spam tests for deeplearning pipeline
    • SW-661 - Use always correct Spark version on the R download page
  • Improvement
    • SW-608 - Measure time of conversions to H2OFrame in debug mode
    • SW-612 - Port all arguments available to Scala ML to PySparkling ML
    • SW-617 - Support for exporting mojo to hdfs
    • SW-632 - Dump full spark configuration during H2OContext.getOrCreate into DEBUG
    • SW-635 - Fix wrong instruction at PySparkling download page
    • SW-637 - Create new DataFrame with new schema when it actually contain any dot in names
    • SW-638 - Port release script into the sw repo
    • SW-639 - Use persist layer for exportPOJOModel
    • SW-640 - export H2OMOJOMOdel.createFromMOJO to pysparkling
    • SW-642 - Create test for mojo predictions in PySparkling
    • SW-643 - Add tests for H2ODeeplearning in Scala and Python and Fix potential problems
    • SW-644 - Log spark configuration to INFO level
    • SW-650 - Upgrade Gradle to 4.4.1
    • SW-656 - Upgrade ShadowJar to 2.0.2

v2.1.19 (2017-12-11)

  • Bug
    • SW-615 - pysparkling.__version__ returns incorrectly ‘SUBST_PROJECT_VERSION’
    • SW-616 - PySparkling fails on python 3.6 because long time does not exist in python 3.6
    • SW-621 - PySParkling failing on Python3.6
    • SW-624 - Python build does not support H2O_PYTHON_WHEEL when building against h2o older then 3.16.0.1
    • SW-628 - PySparkling fails when installed from pypi
  • Improvement
    • SW-626 - Upgrade Gradle to 4.4

v2.1.18 (2017-12-01)

  • Bug
    • SW-602 - conversion of sparse data DataFrame to H2OFrame is slow
    • SW-620 - Fix obtaining version from bundled h2o inside pysparkling
  • Improvement
    • SW-613 - Append dynamic allocation option into SW tuning documentation.
    • SW-618 - Integration with H2O 3.16.0.2

v2.1.17 (2017-11-25)

  • Bug
    • SW-320 - H2OConfTest Python test blocks test run
    • SW-499 - BinaryType handling is not implemented in SparkDataFrameConverter
    • SW-535 - asH2OFrame gives error if column names have DOT in it
    • SW-547 - Don’t use md5skip in external mode
    • SW-569 - pysparkling: h2o on exit does not shut down cleanly
    • SW-572 - Additional fix for [SW-571]
    • SW-573 - Minor Gradle build improvements and fixes
    • SW-575 - Incorrect comment in hamOrSpamMojo pipeline
    • SW-576 - Cleanup pysparkling test infrastructure
    • SW-577 - Fix conditions in jenkins file
    • SW-580 - Fix composite build in Jenkins
    • SW-581 - Fix H2OConf test on external cluster
    • SW-582 - Opening Chicago Crime Demo Notebook errors on the first opening
    • SW-584 - Create extended directory automatically
    • SW-588 - Fix links in README
    • SW-589 - Wrap stages in try finally in jenkins file
    • SW-592 - Properly pass all parameters to algorithm
    • SW-593 - H2Conf cannot be initialized on windows
    • SW-594 - Gradle ml submodule reports success even though tests fail
    • SW-595 - Fix ML tests
  • New Feature
    • SW-519 - Introduce SW Models into Spark python pipelines
  • Task
    • SW-609 - Upgrade H2O dependency to 3.16.0.1
  • Improvement
    • SW-318 - Keep H2O version inside sparklin-water-core.jar and provide utility to query it
    • SW-420 - Shell scripts miss-leading error message
    • SW-504 - Provides Sparkling Water Spark Uber package which can be used in –packages
    • SW-570 - Stop previous jobs in jenkins in case of PR
    • SW-571 - In PySparkling, getOrCreate(spark) still incorrectly complains that we should use spark session
    • SW-583 - Upgrade to Gradle 4.3
    • SW-585 - Add the custom commit status for internal and external pipelines
    • SW-586 - [ML] Remove some duplicities, enable mojo for deep learning
    • SW-590 - Replace deprecated method call in ChicagoCrime python example
    • SW-591 - Repl doesn’t require H2O dependencies to compile
    • SW-596 - Minor build improvements
    • SW-603 - Upgrade Gradle to 4.3.1
    • SW-605 - addFiles doesn’t accept sparkSession
    • SW-610 - Change default client mode to INFO, let user to change it at runtime

v2.1.16 (2017-10-23)

  • Bug
    • SW-555 - Fix documentation issue in PySparkling
    • SW-558 - Increase default value for client connection retry timeout in
    • SW-560 - SW documentation for nthreads is inconsistent with code
    • SW-561 - Fix reporting artefacts in Jenkins and remove use of h2o-3-shared-lib
    • SW-564 - Clean test workspace in jenkins
    • SW-565 - Fix creation of extended jar in jenkins
    • SW-567 - Fix failing tests on external backend
    • SW-568 - Remove obsolete and failing idea configuration
    • SW-559 - GLM fails to build model when weights are specified
  • Improvement
    • SW-557 - Create 2 jenkins files ( for internal and external backend ) backed by configurable pipeline
    • SW-562 - Disable web on external H2O nodes in external cluster mode
    • SW-563 - In external cluster mode, print also YARN job ID of the external cluster once context is available
    • SW-566 - Upgrade H2O to 3.14.0.7
    • SW-553 - Improve handling of sparse vectors in internal cluster

v2.1.15 (2017-10-10)

  • Bug
    • SW-423 - Tests of External Cluster mode fails
    • SW-516 - External cluster improperly convert RDD[ml.linalg.Vector]
    • SW-525 - Don’t use GPU nodes for sparkling water testing in Jenkins
    • SW-526 - Add missing when clause to scripts test stage in Jenkinsfile
    • SW-527 - Use dX cluster for Jenkins testing
    • SW-529 - Code defect in Scala example
    • SW-531 - Use code which is compatible between Scala 2.10 and 2.11
    • SW-532 - Make auto mode in external cluster default for tests in jenkins
    • SW-534 - Ensure that all tests run on both, internal and external backends
    • SW-536 - Allow to test sparkling water against specific h2o branch
    • SW-537 - Update Gradle to 4.2RC2
    • SW-538 - Fix problem in Jenkinsfile where H2O_HOME has higher priority then H2O_PYTHON_WHEEL
    • SW-539 - Fix PySparkling issue when running multiple times on the same node
    • SW-541 - Model training hangs in SW
    • SW-542 - sw does not support parquet import
    • SW-552 - Fix documentation bug
  • New Feature
    • SW-521 - Fix typo in documentation
    • SW-523 - Use linux label to determine which nodes are used for Jenkins testing
    • SW-533 - In external cluster, remove notification file at the end. This affects nothing, it is just cleanup.
  • Improvement
    • SW-543 - Upgrade Gradle to 4.2
    • SW-544 - Improve exception in ExternalH2OBackend
    • SW-545 - Stop H2O in afterAll in tests
    • SW-546 - Add sw version to name of h2odriver obtained using get-extended-h2o script
    • SW-549 - Upgrade gradle to 4.2.1
    • SW-550 - Upgrade H2O to 3.14.0.6

v2.1.14 (2017-08-23)

  • Bug
    • SW-449 - Support Sparse Data during spark-h2o conversions
    • SW-510 - The link Demo Example from Git is broken on the download page
  • New Feature
  • Improvement
    • SW-514 - Upgrade H2O to 3.14.0.2
    • SW-395 - bin/sparkling-shell should fail if assembly jar file does not exist
    • SW-471 - Use mojo in pipelines if possible, remove H2OPipeline and OneTimeTransformers
    • SW-512 - Make JenkinsFile up-to-date with sparkling_yarn_branch
    • SW-513 - Upgrade to Gradle 4.1

v2.1.13 (2017-08-02)

  • Bug
    • SW-501 - Security Bug when using Security.enableSSL(spark)
    • SW-505 - Travis build is failing on missing OracleJdk7
  • Improvement
    • SW-355 - Include H2O R client distribution in Sparkling Water binary
    • SW-500 - Warehouse dir does not have to be set in tests on Spark from 2.1+
    • SW-506 - Documentation for the backends should mention get-extended-h2o.sh instead of manual jar extending
    • SW-507 - Upgrade to Gradle 4.0.2
    • SW-508 - More robust get-extended-h2o.sh
    • SW-509 - Add back DEVEL.md and CHANGELOG.md and redirect to new versions

v2.1.12 (2017-07-17)

  • Improvement
    • SW-490 - Upgrade Gradle to 4.0.1
    • SW-491 - Increase default value for Write and Read confirmation timeout
    • SW-492 - Remove dead code and deprecation warning in tests
    • SW-493 - Enforce Scala Style rules
    • SW-494 - Remove hard dependency on RequestServer by using RestApiContext
    • SW-496 - Remove ignored empty “H2OFrame[Time] to DataFrame[TimeStamp]” test
    • SW-498 - Upgrade H2O to 3.10.5.4

v2.1.11 (2017-07-12)

  • Bug
    • SW-407 - Make scala H2OConf consistent and allow to set and get all propertties
  • Improvement
    • SW-485 - Update instructions for a new PYPI.org
    • SW-489 - Upgrade H2O to 3.10.5.3

v2.1.10 (2017-06-29)

  • Bug
    • SW-469 - Remove accidentally added kerb.conf file
    • SW-470 - Allow to pask sparkSession to Security.enableSSL and deprecate sparkContext
    • SW-474 - Use deprecated HTTPClient as some CDH versions does not have the new method
    • SW-475 - Handle duke library in case it’s loaded using –packages
    • SW-479 - Fix CHANGELOG location in make-dist.sh
  • Improvement
    • SW-457 - Clean up windows scripts
    • SW-466 - Separate Devel.md into multiple rst files
    • SW-472 - Convert to rst README in gradle dir
    • SW-473 - Upgrade to gradle 4.0
    • SW-477 - Upgrade H2O to 3.10.5.2
    • SW-480 - Bring back publishToMavenLocal task
    • SW-482 - Updates to change log location
    • SW-483 - Make rel-2.1 changelog consistent and also rst

v2.1.9 (2017-06-15)

  • Technical task
    • SW-211 - In PySparkling for spark 2.0 document how to build the package
  • Bug
    • SW-448 - Add missing jar into the assembly
    • SW-450 - Fix instructions on the download site
    • SW-453 - Use size method to get attr num
    • SW-454 - Replace sparkSession with spark in backends documentation
    • SW-456 - Make shell scripts safe
    • SW-459 - Update PySparkling run-time dependencies
    • SW-461 - Fix wrong getters and setters in pysparkling
    • SW-467 - Fix typo in the FAQ documentation
    • SW-468 - Fix make-dist
  • New Feature
    • SW-455 - Replace the remaining references to egg files
  • Improvement
    • SW-24 - Append tab on Sparkling Water download page - how to use Sparkling Water package
    • SW-111 - Update FAQ with information about hive metastore location
    • SW-112 - Sparkling Water Tunning doc: add heartbeat dcoumentation
    • SW-311 - Please report Application Type to Yarn Resource Manager
    • SW-340 - Improve structure of SW README
    • SW-426 - Allow to download sparkling water logs from the spark UI
    • SW-444 - Remove references to Spark 1.5, 1.4 ( as it’s old ) in README.rst and other docs
    • SW-447 - Upgrade H2O to 3.10.5.1
    • SW-452 - Add missing spaces after “,” in H2OContextImplicits
    • SW-460 - Allow to configure flow dir location in SW
    • SW-463 - Extract sparkling water configuration to extra doc in rst format
    • SW-465 - Mark tensorflow demo as experimental

v2.1.8 (2017-05-25)

  • Bug
    • SW-263 - Cannot run build in parallel because of Python module
    • SW-336 - Wrong documentation of PyPi h2o_pysparkling_2.0 package
    • SW-430 - pysparkling: adding a column to a data frame does not work when parse the original frame in spark
    • SW-431 - Allow to pass additional arguments to run-python-script.sh
    • SW-436 - Fix getting of sparkling water jar in pysparkling
    • SW-437 - Don’t call atexit in case of pysparkling in cluster deploy mode
    • SW-438 - store h2o logs int unique directories
    • SW-439 - handle interrupted exception in H2ORuntimeInfoUIThread
    • SW-335 - Cannot install pysparkling from PyPi
  • Improvement
    • SW-445 - Remove information from README.pst that pip cannot be used
    • SW-341 - Support Python 3 distribution
    • SW-380 - Define Jenkins pipeline via Jenkinsfile
    • SW-433 - Add change logs link to the sw download page
    • SW-435 - Upgrade shadow jar plugin to 2.0.0
    • SW-440 - Sparkling Water cluster name should contain spark app id instead of random number
    • SW-441 - Replace deprecated DefaultHTTPClient in AnnouncementService
    • SW-442 - Get array size from metadata in case of ml.lilang.VectorUDT
    • SW-443 - Upgrade H2O version to 3.10.4.8

v2.1.7 (2017-05-10)

  • Bug
    • SW-429 - Different cluster name between client and h2o nodes in case of external cluster

v2.1.6 (2017-05-09)

  • Improvement
    • SW-424 - Add SW tab in Spark History Server
    • SW-427 - Upgrade H2O dependency to 3.10.4.7

v2.1.5 (2017-04-27)

  • Bug
    • SW-421 - Externar cluster: Job is reporting exit status as FAILED even all mappers return 0
  • Improvement
    • SW-422 - Upgrade H2O dependency to 3.10.4.6

v2.1.4 (2017-04-20)

  • Bug
    • SW-65 - Add pysparkling instruction to download page
    • SW-365 - Properexit status handling of external cluster
    • SW-398 - Usetimeout for read/write confirmation in external cluster mode
    • SW-400 - Fix stopping of H2OContext in case of running standalone application
    • SW-401 - Add configuration property to external backend allowing to specify the maximal timeout the cloud will wait for watchdog client to connect
    • SW-405 - Use correct quote in backend documentation
    • SW-408 - Use kwargs for h2o.connect in pysparkling
    • SW-409 - Fix stopping of python tests
    • SW-410 - Honor –core Spark settings in H2O executors
  • Improvement
    • SW-231 - Sparkling Water download page is missing PySParkling/RSparkling info
    • SW-404 - Upgrade H2O dependency to 3.10.4.4
    • SW-406 - Download page should list available jars for external cluster.
    • SW-411 - Migrate Pysparkling tests and examples to SparkSession
    • SW-412 - Upgrade H2O dependency to 3.10.4.5

v2.1.3 (2017-04-7)

  • Bug
    • SW-334 - as_factor() ‘corrupts’ dataframe if it fails
    • SW-353 - Kerberos for SW not loading JAAS module
    • SW-364 - Repl session not set on scala 2.11
    • SW-368 - bin/pysparkling.cmd is missing
    • SW-371 - Fix MarkDown syntax
    • SW-372 - Run negative test for PUBDEV-3808 multiple times to observe failure
    • SW-375 - Documentation fix in external cluster manual
    • SW-376 - Tests for DecimalType and DataType fail on external backend
    • SW-377 - Implement stopping of external H2O cluster in external backend mode
    • SW-383 - Update PySparkling README with info about SW-335 and using SW from Pypi
    • SW-385 - Fix residual plot R code generator
    • SW-386 - SW REPL cannot be used in combination with Spark Dataset
    • SW-387 - Fix typo in setClientIp method
    • SW-388 - Stop h2o when running inside standalone pysparkling job
    • SW-389 - Extending h2o jar from SW doesn’t work when the jar is already downloaded
    • SW-392 - Python in gradle is using wrong python - it doesn’t respect the PATH variable
    • SW-393 - Allow to specify timeout for h2o cloud up in external backend mode
    • SW-394 - Allow to specify log level to external h2o cluster
    • SW-396 - Create setter in pysparkling conf for h2o client log level
    • SW-397 - Better error message covering the most often case when cluster info file doesn’t exist
  • Improvement
    • SW-296 - H2OConf remove nulls and make it more Scala-like
    • SW-367 - Add task to Gradle build which prints all available Hadoop distributions for the corresponding h2o
    • SW-382 - Upgrade of H2O dependency to 3.10.4.3

v2.1.2 (2017-03-20)

  • Bug
    • SW-361 - Flow is not available in Sparkling Water
    • SW-362 - PySparkling does not work
  • Improvement
    • SW-344 - Use Spark public DNS if available to report Flow UI

v2.1.1 (2017-03-18)

  • Bug
    • SW-308 - Intermittent failure in creating H2O cloud
    • SW-321 - composite function fail when inner cbind()
    • SW-342 - Environment detection does not work with Spark2.1
    • SW-347 - Cannot start Sparkling Water at HDP Yarn cluster
    • SW-349 - Sparkling Shell scripts for Windows do not work
    • SW-350 - Fix command line environment for Windows
    • SW-357 - PySparkling in Zeppelin environment using wrong class loader
  • Improvement
    • SW-333 - ApplicationMaster info in Yarn for external cluster
    • SW-337 - Use h2o.connect in PySpark to connect to H2O cluster
    • SW-345 - Create configuration manual for External cluster
    • SW-356 - Improve documentation for spark.ext.h2o.fail.on.unsupported.spark.param
    • SW-360 - Upgrade H2O dependency to 3.10.4.2

v2.1.0 (2017-03-02)

  • Bug
    • SW-331 - Security.enableSSL does not work
  • Improvement
    • SW-302 - Support Spark 2.1.0
    • SW-325 - Implement a generic announcement mechanism
    • SW-326 - Add support to Spark 2.1 in Sparkling Water
    • SW-327 - Enrich Spark UI with Sparkling Water specific tab

v2.0.x (2016-09-26)

  • Sparkling Water 2.0 brings support of Spark 2.0.
  • For detailed changelog, please read rel-2.0/CHANGELOG.

v1.6.x (2016-03-15)

  • Sparkling Water 1.6 brings support of Spark 1.6.
  • For detailed changelog, please read rel-1.6/CHANGELOG.

v1.5.x (2015-09-28)

  • Sparkling Water 1.5 brings support of Spark 1.5.
  • For detailed changelog, please read rel-1.5/CHANGELOG.

v1.4.x (2015-07-06)

  • Sparkling Water 1.4 brings support of Spark 1.4.
  • For detailed changelog, please read rel-1.4/CHANGELOG.

v1.3.x (2015-05-25)

  • Sparkling Water 1.3 brings support of Spark 1.3.
  • For detailed changelog, please read rel-1.3/CHANGELOG.

v1.2.x (2015-05-18) and older

  • Sparkling Water 1.2 brings support of Spark 1.2.
  • For detailed changelog, please read rel-1.2/CHANGELOG.